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battery charging</title> <meta name="description" content="Search results for: automatic battery charging"> <meta name="keywords" content="automatic battery charging"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="automatic battery charging"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1676</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: automatic battery charging</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1676</span> Automatic Battery Charging for Rotor Wings Type Unmanned Aerial Vehicle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jeyeon%20Kim">Jeyeon Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes the development of the automatic battery charging device for the rotor wings type unmanned aerial vehicle (UAV) and the positioning method that can be accurately landed on the charging device when landing. The developed automatic battery charging device is considered by simple maintenance, durability, cost and error of the positioning when landing. In order to for the UAV accurately land on the charging device, two kinds of markers (a color marker and a light marker) installed on the charging device is detected by the camera mounted on the UAV. And then, the UAV is controlled so that the detected marker becomes the center of the image and is landed on the device. We conduct the performance evaluation of the proposal positioning method by the outdoor experiments at day and night, and show the effectiveness of the system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=unmanned%20aerial%20vehicle" title="unmanned aerial vehicle">unmanned aerial vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20battery%20charging" title=" automatic battery charging"> automatic battery charging</a>, <a href="https://publications.waset.org/abstracts/search?q=positioning" title=" positioning"> positioning</a> </p> <a href="https://publications.waset.org/abstracts/71183/automatic-battery-charging-for-rotor-wings-type-unmanned-aerial-vehicle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71183.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">363</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1675</span> Wireless Battery Charger with Adaptive Rapid-Charging Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Byoung-Hee%20Lee">Byoung-Hee Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wireless battery charger with adaptive rapid charging algorithm is proposed. The proposed wireless charger adopts voltage regulation technique to reduce the number of power conversion steps. Moreover, based on battery models, an adaptive rapid charging algorithm for Li-ion batteries is obtained. Rapid-charging performance with the proposed wireless battery charger and the proposed rapid charging algorithm has been experimentally verified to show more than 70% charging time reduction compared to conventional constant-current constant-voltage (CC-CV) charging without the degradation of battery lifetime. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wireless" title="wireless">wireless</a>, <a href="https://publications.waset.org/abstracts/search?q=battery%20charger" title=" battery charger"> battery charger</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive" title=" adaptive"> adaptive</a>, <a href="https://publications.waset.org/abstracts/search?q=rapid-charging" title=" rapid-charging"> rapid-charging</a> </p> <a href="https://publications.waset.org/abstracts/54610/wireless-battery-charger-with-adaptive-rapid-charging-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54610.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">377</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1674</span> Standalone Docking Station with Combined Charging Methods for Agricultural Mobile Robots</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Leonor%20Varandas">Leonor Varandas</a>, <a href="https://publications.waset.org/abstracts/search?q=Pedro%20D.%20Gaspar"> Pedro D. Gaspar</a>, <a href="https://publications.waset.org/abstracts/search?q=Martim%20L.%20Aguiar"> Martim L. Aguiar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the biggest concerns in the field of agriculture is around the energy efficiency of robots that will perform agriculture’s activity and their charging methods. In this paper, two different charging methods for agricultural standalone docking stations are shown that will take into account various variants as field size and its irregularities, work’s nature to which the robot will perform, deadlines that have to be respected, among others. Its features also are dependent on the orchard, season, battery type and its technical specifications and cost. First charging base method focuses on wireless charging, presenting more benefits for small field. The second charging base method relies on battery replacement being more suitable for large fields, thus avoiding the robot stop for recharge. Existing many methods to charge a battery, the CC CV was considered the most appropriate for either simplicity or effectiveness. The choice of the battery for agricultural purposes is if most importance. While the most common battery used is Li-ion battery, this study also discusses the use of graphene-based new type of batteries with 45% over capacity to the Li-ion one. A Battery Management Systems (BMS) is applied for battery balancing. All these approaches combined showed to be a promising method to improve a lot of technical agricultural work, not just in terms of plantation and harvesting but also about every technique to prevent harmful events like plagues and weeds or even to reduce crop time and cost. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agricultural%20mobile%20robot" title="agricultural mobile robot">agricultural mobile robot</a>, <a href="https://publications.waset.org/abstracts/search?q=charging%20methods" title=" charging methods"> charging methods</a>, <a href="https://publications.waset.org/abstracts/search?q=battery%20replacement%20method" title=" battery replacement method"> battery replacement method</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20charging%20method" title=" wireless charging method"> wireless charging method</a> </p> <a href="https://publications.waset.org/abstracts/96931/standalone-docking-station-with-combined-charging-methods-for-agricultural-mobile-robots" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96931.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">148</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1673</span> Optimal MPPT Charging Battery System for Photovoltaic Standalone Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kelaiaia%20Mounia%20Samira">Kelaiaia Mounia Samira</a>, <a href="https://publications.waset.org/abstracts/search?q=Labar%20Hocine"> Labar Hocine</a>, <a href="https://publications.waset.org/abstracts/search?q=Mesbah%20Tarek"> Mesbah Tarek</a>, <a href="https://publications.waset.org/abstracts/search?q=Kelaiaia%20samia"> Kelaiaia samia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The photovoltaic panel produces green power, and because of its availability across the globe, it can supply isolated loads (site away of the electrical network or difficult of access). Unfortunately this energy remains very expensive. The most application of these types of power needs storage devices, the Lithium batteries are commonly used because of its powerful storage capability. Using a solar panel or an array of panels without a controller that can perform MPPT will often result in wasted power, which results in the need to install more panels for the same power requirement. For devices that have the battery connected directly to the panel, this will also result in premature battery failure or capacity loss. In this paper it is proposed a modified P&O algorithm for the MPPT which takes in account the battery’s internal resistance vs temperature and stage of charging. Of course the temperature variation and irradiation of the PV panel are also introduced. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=modeling" title="modeling">modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=battery" title=" battery"> battery</a>, <a href="https://publications.waset.org/abstracts/search?q=MPPT" title=" MPPT"> MPPT</a>, <a href="https://publications.waset.org/abstracts/search?q=charging" title=" charging"> charging</a>, <a href="https://publications.waset.org/abstracts/search?q=PV%20Panel" title=" PV Panel "> PV Panel </a> </p> <a href="https://publications.waset.org/abstracts/21983/optimal-mppt-charging-battery-system-for-photovoltaic-standalone-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21983.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">524</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1672</span> Modeling Battery Degradation for Electric Buses: Assessment of Lifespan Reduction from In-Depot Charging</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anaissia%20Franca">Anaissia Franca</a>, <a href="https://publications.waset.org/abstracts/search?q=Julian%20Fernandez"> Julian Fernandez</a>, <a href="https://publications.waset.org/abstracts/search?q=Curran%20Crawford"> Curran Crawford</a>, <a href="https://publications.waset.org/abstracts/search?q=Ned%20Djilali"> Ned Djilali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A methodology to estimate the state-of-charge (SOC) of battery electric buses, including degradation effects, for a given driving cycle is presented to support long-term techno-economic analysis integrating electric buses and charging infrastructure. The degradation mechanisms, characterized by both capacity and power fade with time, have been modeled using an electrochemical model for Li-ion batteries. Iterative changes in the negative electrode film resistance and decrease in available lithium as a function of utilization is simulated for every cycle. The cycles are formulated to follow typical transit bus driving patterns. The power and capacity decay resulting from the degradation model are introduced as inputs to a longitudinal chassis dynamic analysis that calculates the power consumption of the bus for a given driving cycle to find the state-of-charge of the battery as a function of time. The method is applied to an in-depot charging scenario, for which the bus is charged exclusively at the depot, overnight and to its full capacity. This scenario is run both with and without including degradation effects over time to illustrate the significant impact of degradation mechanisms on bus performance when doing feasibility studies for a fleet of electric buses. The impact of battery degradation on battery lifetime is also assessed. The modeling tool can be further used to optimize component sizing and charging locations for electric bus deployment projects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=battery%20electric%20bus" title="battery electric bus">battery electric bus</a>, <a href="https://publications.waset.org/abstracts/search?q=E-bus" title=" E-bus"> E-bus</a>, <a href="https://publications.waset.org/abstracts/search?q=in-depot%20charging" title=" in-depot charging"> in-depot charging</a>, <a href="https://publications.waset.org/abstracts/search?q=lithium-ion%20battery" title=" lithium-ion battery"> lithium-ion battery</a>, <a href="https://publications.waset.org/abstracts/search?q=battery%20degradation" title=" battery degradation"> battery degradation</a>, <a href="https://publications.waset.org/abstracts/search?q=capacity%20fade" title=" capacity fade"> capacity fade</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20fade" title=" power fade"> power fade</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicle" title=" electric vehicle"> electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=SEI" title=" SEI"> SEI</a>, <a href="https://publications.waset.org/abstracts/search?q=electrochemical%20models" title=" electrochemical models"> electrochemical models</a> </p> <a href="https://publications.waset.org/abstracts/57537/modeling-battery-degradation-for-electric-buses-assessment-of-lifespan-reduction-from-in-depot-charging" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57537.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">325</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1671</span> Maximum Power Point Tracking Using Fuzzy Logic Control for a Stand-Alone PV System with PI Controller for Battery Charging Based on Evolutionary Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20A.%20Moustafa%20Hassan">Mohamed A. Moustafa Hassan</a>, <a href="https://publications.waset.org/abstracts/search?q=Omnia%20S%20.S.%20Hussian"> Omnia S .S. Hussian</a>, <a href="https://publications.waset.org/abstracts/search?q=Hany%20M.%20Elsaved"> Hany M. Elsaved</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces the application of Fuzzy Logic Controller (FLC) to extract the Maximum Power Point Tracking (MPPT) from the PV panel. In addition, the proportional integral (PI) controller is used to be the strategy for battery charge control according to acceptable performance criteria. The parameters of the PI controller have been tuned via Modified Adaptive Accelerated Coefficient Particle Swarm Optimization (MAACPSO) technique. The simulation results, using MATLAB/Simulink tools, show that the FLC technique has advantages for use in the MPPT problem, as it provides a fast response under changes in environmental conditions such as radiation and temperature. In addition, the use of PI controller based on MAACPSO results in a good performance in terms of controlling battery charging with constant voltage and current to execute rapid charging. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=battery%20charging" title="battery charging">battery charging</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic%20control" title=" fuzzy logic control"> fuzzy logic control</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20power%20point%20tracking" title=" maximum power point tracking"> maximum power point tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=PV%20system" title=" PV system"> PV system</a>, <a href="https://publications.waset.org/abstracts/search?q=PI%20controller" title=" PI controller"> PI controller</a>, <a href="https://publications.waset.org/abstracts/search?q=evolutionary%20technique" title=" evolutionary technique"> evolutionary technique</a> </p> <a href="https://publications.waset.org/abstracts/109686/maximum-power-point-tracking-using-fuzzy-logic-control-for-a-stand-alone-pv-system-with-pi-controller-for-battery-charging-based-on-evolutionary-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109686.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">166</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1670</span> Modelling of Multi-Agent Systems for the Scheduling of Multi-EV Charging from Power Limited Sources</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Manan%E2%80%99Iarivo%20Rasolonjanahary">Manan’Iarivo Rasolonjanahary</a>, <a href="https://publications.waset.org/abstracts/search?q=Chris%20Bingham"> Chris Bingham</a>, <a href="https://publications.waset.org/abstracts/search?q=Nigel%20Schofield"> Nigel Schofield</a>, <a href="https://publications.waset.org/abstracts/search?q=Masoud%20Bazargan"> Masoud Bazargan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the research and application of model predictive scheduled charging of electric vehicles (EV) subject to limited available power resource. To focus on algorithm and operational characteristics, the EV interface to the source is modelled as a battery state equation during the charging operation. The researched methods allow for the priority scheduling of EV charging in a multi-vehicle regime and when subject to limited source power availability. Priority attribution for each connected EV is described. The validity of the developed methodology is shown through the simulation of different scenarios of charging operation of multiple connected EVs including non-scheduled and scheduled operation with various numbers of vehicles. Performance of the developed algorithms is also reported with the recommendation of the choice of suitable parameters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=model%20predictive%20control" title="model predictive control">model predictive control</a>, <a href="https://publications.waset.org/abstracts/search?q=non-scheduled" title=" non-scheduled"> non-scheduled</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20limited%20sources" title=" power limited sources"> power limited sources</a>, <a href="https://publications.waset.org/abstracts/search?q=scheduled%20and%20stop-start%20battery%20charging" title=" scheduled and stop-start battery charging"> scheduled and stop-start battery charging</a> </p> <a href="https://publications.waset.org/abstracts/134020/modelling-of-multi-agent-systems-for-the-scheduling-of-multi-ev-charging-from-power-limited-sources" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134020.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">157</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1669</span> Experimental Analysis of Control in Electric Vehicle Charging Station Based Grid Tied Photovoltaic-Battery System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Hassoune">A. Hassoune</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Khafallah"> M. Khafallah</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Mesbahi"> A. Mesbahi</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Bouragba"> T. Bouragba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work presents an improved strategy of control for charging a lithium-ion battery in an electric vehicle charging station using two charger topologies i.e. single ended primary inductor converter (SEPIC) and forward converter. In terms of rapidity and accuracy, the power system consists of a topology/control diagram that would overcome the performance constraints, for instance the power instability, the battery overloading and how the energy conversion blocks would react efficiently to any kind of perturbations. Simulation results show the effectiveness of the proposed topologies operated with a power management algorithm based on voltage/peak current mode controls. In order to provide credible findings, a low power prototype is developed to test the control strategy via experimental evaluations of the converter topology and its controls. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=battery%20storage%20buffer" title="battery storage buffer">battery storage buffer</a>, <a href="https://publications.waset.org/abstracts/search?q=charging%20station" title=" charging station"> charging station</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicle" title=" electric vehicle"> electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=experimental%20analysis" title=" experimental analysis"> experimental analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=management%20algorithm" title=" management algorithm"> management algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=switches%20control" title=" switches control"> switches control</a> </p> <a href="https://publications.waset.org/abstracts/100812/experimental-analysis-of-control-in-electric-vehicle-charging-station-based-grid-tied-photovoltaic-battery-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/100812.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">165</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1668</span> Designing Ecologically and Economically Optimal Electric Vehicle Charging Stations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Y.%20Ghiassi-Farrokhfal">Y. Ghiassi-Farrokhfal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The number of electric vehicles (EVs) is increasing worldwide. Replacing gas fueled cars with EVs reduces carbon emission. However, the extensive energy consumption of EVs stresses the energy systems, requiring non-green sources of energy (such as gas turbines) to compensate for the new energy demand caused by EVs in the energy systems. To make EVs even a greener solution for the future energy systems, new EV charging stations are equipped with solar PV panels and batteries. This will help serve the energy demand of EVs through the green energy of solar panels. To ensure energy availability, solar panels are combined with batteries. The energy surplus at any point is stored in batteries and is used when there is not enough solar energy to serve the demand. While EV charging stations equipped with solar panels and batteries are green and ecologically optimal, they might not be financially viable solutions, due to battery prices. To make the system viable, we should size the battery economically and operate the system optimally. This is, in general, a challenging problem because of the stochastic nature of the EV arrivals at the charging station, the available solar energy, and the battery operating system. In this work, we provide a mathematical model for this problem and we compute the return on investment (ROI) of such a system, which is designed to be ecologically and financially optimal. We also quantify the minimum required investment in terms of battery and solar panels along with the operating strategy to ensure that a charging station has enough energy to serve its EV demand at any time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=solar%20energy" title="solar energy">solar energy</a>, <a href="https://publications.waset.org/abstracts/search?q=battery%20storage" title=" battery storage"> battery storage</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicle" title=" electric vehicle"> electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=charging%20stations" title=" charging stations"> charging stations</a> </p> <a href="https://publications.waset.org/abstracts/70149/designing-ecologically-and-economically-optimal-electric-vehicle-charging-stations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70149.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">222</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1667</span> Material Use and Life Cycle GHG Emissions of Different Electrification Options for Long-Haul Trucks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nafisa%20Mahbub">Nafisa Mahbub</a>, <a href="https://publications.waset.org/abstracts/search?q=Hajo%20Ribberink"> Hajo Ribberink</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Electrification of long-haul trucks has been in discussion as a potential strategy to decarbonization. These trucks will require large batteries because of their weight and long daily driving distances. Around 245 million battery electric vehicles are predicted to be on the road by the year 2035. This huge increase in the number of electric vehicles (EVs) will require intensive mining operations for metals and other materials to manufacture millions of batteries for the EVs. These operations will add significant environmental burdens and there is a significant risk that the mining sector will not be able to meet the demand for battery materials, leading to higher prices. Since the battery is the most expensive component in the EVs, technologies that can enable electrification with smaller batteries sizes have substantial potential to reduce the material usage and associated environmental and cost burdens. One of these technologies is an ‘electrified road’ (eroad), where vehicles receive power while they are driving, for instance through an overhead catenary (OC) wire (like trolleybuses and electric trains), through wireless (inductive) chargers embedded in the road, or by connecting to an electrified rail in or on the road surface. This study assessed the total material use and associated life cycle GHG emissions of two types of eroads (overhead catenary and in-road wireless charging) for long-haul trucks in Canada and compared them to electrification using stationary plug-in fast charging. As different electrification technologies require different amounts of materials for charging infrastructure and for the truck batteries, the study included the contributions of both for the total material use. The study developed a bottom-up approach model comparing the three different charging scenarios – plug in fast chargers, overhead catenary and in-road wireless charging. The investigated materials for charging technology and batteries were copper (Cu), steel (Fe), aluminium (Al), and lithium (Li). For the plug-in fast charging technology, different charging scenarios ranging from overnight charging (350 kW) to megawatt (MW) charging (2 MW) were investigated. A 500 km of highway (1 lane of in-road charging per direction) was considered to estimate the material use for the overhead catenary and inductive charging technologies. The study considered trucks needing an 800 kWh battery under the plug-in charger scenario but only a 200 kWh battery for the OC and inductive charging scenarios. Results showed that overall the inductive charging scenario has the lowest material use followed by OC and plug-in charger scenarios respectively. The materials use for the OC and plug-in charger scenarios were 50-70% higher than for the inductive charging scenarios for the overall system including the charging infrastructure and battery. The life cycle GHG emissions from the construction and installation of the charging technology material were also investigated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=charging%20technology" title="charging technology">charging technology</a>, <a href="https://publications.waset.org/abstracts/search?q=eroad" title=" eroad"> eroad</a>, <a href="https://publications.waset.org/abstracts/search?q=GHG%20emissions" title=" GHG emissions"> GHG emissions</a>, <a href="https://publications.waset.org/abstracts/search?q=material%20use" title=" material use"> material use</a>, <a href="https://publications.waset.org/abstracts/search?q=overhead%20catenary" title=" overhead catenary"> overhead catenary</a>, <a href="https://publications.waset.org/abstracts/search?q=plug%20in%20charger" title=" plug in charger"> plug in charger</a> </p> <a href="https://publications.waset.org/abstracts/184498/material-use-and-life-cycle-ghg-emissions-of-different-electrification-options-for-long-haul-trucks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184498.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">51</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1666</span> Vehicle Routing Problem with Mixed Fleet of Conventional and Heterogenous Electric Vehicles and Time Dependent Charging Costs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ons%20Sassi">Ons Sassi</a>, <a href="https://publications.waset.org/abstracts/search?q=Wahiba%20Ramdane%20Cherif-Khettaf"> Wahiba Ramdane Cherif-Khettaf</a>, <a href="https://publications.waset.org/abstracts/search?q=Ammar%20Oulamara"> Ammar Oulamara</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we consider a new real-life Heterogenous Electric Vehicle Routing Problem with Time Dependant Charging Costs and a Mixed Fleet (HEVRP-TDMF), in which a set of geographically scattered customers have to be served by a mixed fleet of vehicles composed of a heterogenous fleet of Electric Vehicles (EVs), having different battery capacities and operating costs, and Conventional Vehicles (CVs). We include the possibility of charging EVs in the available charging stations during the routes in order to serve all customers. Each charging station offers charging service with a known technology of chargers and time-dependent charging costs. Charging stations are also subject to operating time windows constraints. EVs are not necessarily compatible with all available charging technologies and a partial charging is allowed. Intermittent charging at the depot is also allowed provided that constraints related to the electricity grid are satisfied. The objective is to minimize the number of employed vehicles and then minimize the total travel and charging costs. In this study, we present a Mixed Integer Programming Model and develop a Charging Routing Heuristic and a Local Search Heuristic based on the Inject-Eject routine with three different insertion strategies. All heuristics are tested on real data instances. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=charging%20problem" title="charging problem">charging problem</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicle" title=" electric vehicle"> electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=heuristics" title=" heuristics"> heuristics</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20search" title=" local search"> local search</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=routing%20problem" title=" routing problem"> routing problem</a> </p> <a href="https://publications.waset.org/abstracts/19969/vehicle-routing-problem-with-mixed-fleet-of-conventional-and-heterogenous-electric-vehicles-and-time-dependent-charging-costs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19969.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">463</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1665</span> Design of Cartesian Robot for Electric Vehicle Wireless Charging Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kaan%20Karaoglu">Kaan Karaoglu</a>, <a href="https://publications.waset.org/abstracts/search?q=Raif%20Bayir"> Raif Bayir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, a cartesian robot is developed to improve the performance and efficiency of wireless charging of electric vehicles. The cartesian robot has three axes, each of which moves linearly. Magnetic positioning is used to align the cartesian robot transmitter charging pad. There are two different wireless charging methods, static and dynamic, for charging electric vehicles. The current state of charge information (SOC State of Charge) and location information are received wirelessly from the electric vehicle. Based on this information, the power to be transmitted is determined, and the transmitter and receiver charging pads are aligned for maximum efficiency. With this study, a fully automated cartesian robot structure will be used to charge electric vehicles with the highest possible efficiency. With the wireless communication established between the electric vehicle and the charging station, the charging status will be monitored in real-time. The cartesian robot developed in this study is a fully automatic system that can be easily used in static wireless charging systems with vehicle-machine communication. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicle" title="electric vehicle">electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20charging%20systems" title=" wireless charging systems"> wireless charging systems</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20efficiency" title=" energy efficiency"> energy efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=cartesian%20robot" title=" cartesian robot"> cartesian robot</a>, <a href="https://publications.waset.org/abstracts/search?q=location%20detection" title=" location detection"> location detection</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory%20planning" title=" trajectory planning"> trajectory planning</a> </p> <a href="https://publications.waset.org/abstracts/181986/design-of-cartesian-robot-for-electric-vehicle-wireless-charging-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/181986.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">75</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1664</span> Pathway to Sustainable Shipping: Electric Ships</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wei%20Wang">Wei Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yannick%20Liu"> Yannick Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Lu%20Zhen"> Lu Zhen</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Wang"> H. Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Maritime transport plays an important role in global economic development but also inevitably faces increasing pressures from all sides, such as ship operating cost reduction and environmental protection. An ideal innovation to address these pressures is electric ships. The electric ship is in the early stage. Considering the special characteristics of electric ships, i.e., travel range limit, to guarantee the efficient operation of electric ships, the service network needs to be re-designed carefully. This research designs a cost-efficient and environmentally friendly service network for electric ships, including the location of charging stations, charging plan, route planning, ship scheduling, and ship deployment. The problem is formulated as a mixed-integer linear programming model with the objective of minimizing total cost comprised of charging cost, the construction cost of charging stations, and fixed cost of ships. A case study using data of the shipping network along the Yangtze River is conducted to evaluate the performance of the model. Two operating scenarios are used: an electric ship scenario where all the transportation tasks are fulfilled by electric ships and a conventional ship scenario where all the transportation tasks are fulfilled by fuel oil ships. Results unveil that the total cost of using electric ships is only 42.8% of using conventional ships. Using electric ships can reduce 80% SOx, 93.47% NOx, 89.47% PM, and 42.62% CO2, but will consume 2.78% more time to fulfill all the transportation tasks. Extensive sensitivity analyses are also conducted for key operating factors, including battery capacity, charging speed, volume capacity, and a service time limit of transportation task. Implications from the results are as follows: 1) it is necessary to equip the ship with a large capacity battery when the number of charging stations is low; 2) battery capacity will influence the number of ships deployed on each route; 3) increasing battery capacity will make the electric ship more cost-effective; 4) charging speed does not affect charging amount and location of charging station, but will influence the schedule of ships on each route; 5) there exists an optimal volume capacity, at which all costs and total delivery time are lowest; 6) service time limit will influence ship schedule and ship cost. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cost%20reduction" title="cost reduction">cost reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20ship" title=" electric ship"> electric ship</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20protection" title=" environmental protection"> environmental protection</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20shipping" title=" sustainable shipping"> sustainable shipping</a> </p> <a href="https://publications.waset.org/abstracts/162243/pathway-to-sustainable-shipping-electric-ships" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162243.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">77</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1663</span> Design of a Universal Wireless Battery Charger</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20B.%20Musamih">Ahmad B. Musamih</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20A.%20Albloushi"> Ahmad A. Albloushi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20H.%20Alshemeili"> Ahmed H. Alshemeili</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdulaziz%20Y.%20Alfili"> Abdulaziz Y. Alfili</a>, <a href="https://publications.waset.org/abstracts/search?q=Ala%20A.%20Hussien"> Ala A. Hussien</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper proposes a universal wireless battery charger design for portable electronic devices. As the number of portable electronics devices increases, the demand for more flexible and reliable charging techniques is becoming more urgent. A wireless battery charger differs from a traditional charger in the way the power transferred to the battery. In the latter, the power is transferred through electrical wires that connect the charger terminals to the battery terminals, while in the former; the power is transferred by induction without electrical connections. With a detection algorithm that detects the battery size and chemistry, the proposed charger will be able to accommodate a wide range of applications, and will allow a more flexible and reliable option to most of today’s portable electronics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=efficiency" title="efficiency">efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=magnetically-coupled%20resonators" title=" magnetically-coupled resonators"> magnetically-coupled resonators</a>, <a href="https://publications.waset.org/abstracts/search?q=resonance%20frequency" title=" resonance frequency"> resonance frequency</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20power%20transfer" title=" wireless power transfer"> wireless power transfer</a> </p> <a href="https://publications.waset.org/abstracts/43549/design-of-a-universal-wireless-battery-charger" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43549.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">453</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1662</span> A Study on Long Life Hybrid Battery System Consists of Ni-63 Betavoltaic Battery and All Solid Battery</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bosung%20Kim">Bosung Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Youngmok%20Yun"> Youngmok Yun</a>, <a href="https://publications.waset.org/abstracts/search?q=Sungho%20Lee"> Sungho Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Chanseok%20Park"> Chanseok Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There is a limitation to power supply and operation by the chemical or physical battery in the space environment. Therefore, research for utilizing nuclear energy in the universe has been in progress since the 1950s, around the major industrialized countries. In this study, the self-rechargeable battery having a long life relative to the half-life of the radioisotope is suggested. The hybrid system is composed of betavoltaic battery, all solid battery and energy harvesting board. Betavoltaic battery can produce electrical power at least 10 years over using the radioisotope from Ni-63 and the silicon-based semiconductor. The electrical power generated from the betavoltaic battery is stored in the all-solid battery and stored power is used if necessary. The hybrid system board is composed of input terminals, boost circuit, charging terminals and output terminals. Betavoltaic and all solid batteries are connected to the input and output terminal, respectively. The electric current of 10 µA is applied to the system board by using the high-resolution power simulator. The system efficiencies are measured from a boost up voltage of 1.8 V, 2.4 V and 3 V, respectively. As a result, the efficiency of system board is about 75% after boosting up the voltage from 1V to 3V. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=isotope" title="isotope">isotope</a>, <a href="https://publications.waset.org/abstracts/search?q=betavoltaic" title=" betavoltaic"> betavoltaic</a>, <a href="https://publications.waset.org/abstracts/search?q=nuclear" title=" nuclear"> nuclear</a>, <a href="https://publications.waset.org/abstracts/search?q=battery" title=" battery"> battery</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20harvesting" title=" energy harvesting"> energy harvesting</a> </p> <a href="https://publications.waset.org/abstracts/50011/a-study-on-long-life-hybrid-battery-system-consists-of-ni-63-betavoltaic-battery-and-all-solid-battery" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50011.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">327</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1661</span> Estimating the Power Influence of an Off-Grid Photovoltaic Panel on the Indicting Rate of a Storage System (Batteries)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Osamede%20Asowata">Osamede Asowata</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current resurgence of interest in the use of renewable energy is driven by the need to reduce the high environmental impact of fossil-based energy. The aim of this paper is to evaluate the effect of a stationary PV panel on the charging rate of deep-cycle valve regulated lead-acid (DCVRLA) batteries. Stationary PV panels are set to a fixed tilt and orientation angle, which plays a major role in dictating the output power of a PV panel and subsequently on the charging time of a DCVRLA battery. In a basic PV system, an energy storage device that stores the power from the PV panel is necessary due to the fluctuating nature of the PV voltage caused by climatic conditions. The charging and discharging times of a DCVRLA battery were determined for a twelve month period from January through December 2012. Preliminary results, which include regression analysis (R2), conversion-time per week and work-time per day, indicate that a 36 degrees tilt angle produces a good charging rate for a latitude of 26 degrees south throughout the year. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tilt%20and%20orientation%20angles" title="tilt and orientation angles">tilt and orientation angles</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20chargers" title=" solar chargers"> solar chargers</a>, <a href="https://publications.waset.org/abstracts/search?q=PV%20panels" title=" PV panels"> PV panels</a>, <a href="https://publications.waset.org/abstracts/search?q=storage%20devices" title=" storage devices"> storage devices</a>, <a href="https://publications.waset.org/abstracts/search?q=direct%20solar%20radiation." title=" direct solar radiation."> direct solar radiation.</a> </p> <a href="https://publications.waset.org/abstracts/90315/estimating-the-power-influence-of-an-off-grid-photovoltaic-panel-on-the-indicting-rate-of-a-storage-system-batteries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90315.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">239</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1660</span> Battery/Supercapacitor Emulator for Chargers Functionality Testing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Farag">S. Farag</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Kuperman"> A. Kuperman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, design of solid-state battery/super capacitor emulator based on dc-dc boost converter is described. The emulator mimics charging behavior of any storage device based on a predefined behavior set by the user. The device is operated by a two-level control structure: high-level emulating controller and low-level input voltage controller. Simulation and experimental results are shown to demonstrate the emulator operation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=battery" title="battery">battery</a>, <a href="https://publications.waset.org/abstracts/search?q=charger" title=" charger"> charger</a>, <a href="https://publications.waset.org/abstracts/search?q=energy" title=" energy"> energy</a>, <a href="https://publications.waset.org/abstracts/search?q=storage" title=" storage"> storage</a>, <a href="https://publications.waset.org/abstracts/search?q=super%20capacitor" title=" super capacitor"> super capacitor</a> </p> <a href="https://publications.waset.org/abstracts/13042/batterysupercapacitor-emulator-for-chargers-functionality-testing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13042.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">400</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1659</span> Internet of Things Based Battery Management System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pakhil%20Singh">Pakhil Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Rahul%20Singh"> Rahul Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Saad%20Alam"> Mohammad Saad Alam</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasser%20Rafat"> Yasser Rafat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The battery management system is an essential package/system which ensures optimum performance and safety of a battery by monitoring the key essential parameters of the battery like the voltage, current, temperature, state of charge, state of health during charging and discharging. This can be accomplished using outputs of various sensors employed to serve the purpose. The increasing demand for electricity generation from renewable energy sources requires proper storage and hence a proper monitoring system as well. A battery management system is required in wide applications ranging from renewable energy storage systems, off-grid solar PV applications to electric vehicles. The aim of this paper is to study the parameters used in monitoring various battery operating conditions and proposes the usage of the internet of things (IoT) to implement a reliable battery management system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicles" title="electric vehicles">electric vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things" title=" internet of things"> internet of things</a>, <a href="https://publications.waset.org/abstracts/search?q=sensors" title=" sensors"> sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=state%20of%20charge" title=" state of charge"> state of charge</a>, <a href="https://publications.waset.org/abstracts/search?q=state%20of%20health" title=" state of health"> state of health</a> </p> <a href="https://publications.waset.org/abstracts/133342/internet-of-things-based-battery-management-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133342.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">197</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1658</span> An Equivalent Circuit Model Approach for Battery Pack Simulation in a Hybrid Electric Vehicle System Powertrain</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Suchitra%20Sivakumar">Suchitra Sivakumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Hajime%20Shingyouchi"> Hajime Shingyouchi</a>, <a href="https://publications.waset.org/abstracts/search?q=Toshinori%20Okajima"> Toshinori Okajima</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyohei%20Yamaguchi"> Kyohei Yamaguchi</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin%20Kusaka"> Jin Kusaka</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The progressing need for powertrain electrification calls for more accurate and reliable simulation models. A battery pack serves as the most vital component for energy storage in an electrified powertrain. Hybrid electric vehicles (HEV) do not behave the same way as they age, and there are several environmental factors that account for the degradation of the battery on a system level. Therefore, in this work, a battery model was proposed to study the state of charge (SOC) variation and the internal dynamic changes that contribute to aging and performance degradation in HEV batteries. An equivalent circuit battery model (ECM) is built using MATLAB Simulink to investigate the output characteristics of the lithium-ion battery. The ECM comprises of circuit elements like a voltage source, a series resistor and a parallel RC network connected in series. A parameter estimation study is conducted on the ECM to study the dependencies of the circuit elements with the state of charge (SOC) and the terminal voltage of the battery. The battery model is extended to simulate the temperature dependence of the individual battery cell and the battery pack with the environment. The temperature dependence model accounts for the heat loss due to internal resistance build up in the battery pack during charging, discharging, and due to atmospheric temperature. The model was validated for a lithium-ion battery pack with an independent drive cycle showing a voltage accuracy of 4% and SOC accuracy of about 2%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=battery%20model" title="battery model">battery model</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20electric%20vehicle" title=" hybrid electric vehicle"> hybrid electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=lithium-ion%20battery" title=" lithium-ion battery"> lithium-ion battery</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20model" title=" thermal model"> thermal model</a> </p> <a href="https://publications.waset.org/abstracts/113330/an-equivalent-circuit-model-approach-for-battery-pack-simulation-in-a-hybrid-electric-vehicle-system-powertrain" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113330.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">298</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1657</span> Internet of Things-Based Electric Vehicle Charging Notification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nagarjuna%20Pitty">Nagarjuna Pitty</a> </p> <p class="card-text"><strong>Abstract:</strong></p> It is believed invention “Advanced Method and Process Quick Electric Vehicle Charging” is an Electric Vehicles (EVs) are quickly turning into the heralds of vehicle innovation. This study endeavors to address the inquiries of how module charging process correspondence has been performed between the EV and Electric Vehicle Supply Equipment (EVSE). The energy utilization of gas-powered motors is higher than that of electric engines. An invention is related to an Advanced Method and Process Quick Electric Vehicle Charging. In this research paper, readings on the electric vehicle charging approaches will be checked, and the module charging phases will be described comprehensively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electric" title="electric">electric</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle" title=" vehicle"> vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=charging" title=" charging"> charging</a>, <a href="https://publications.waset.org/abstracts/search?q=notification" title=" notification"> notification</a>, <a href="https://publications.waset.org/abstracts/search?q=IoT" title=" IoT"> IoT</a>, <a href="https://publications.waset.org/abstracts/search?q=supply" title=" supply"> supply</a>, <a href="https://publications.waset.org/abstracts/search?q=equipment" title=" equipment"> equipment</a> </p> <a href="https://publications.waset.org/abstracts/166037/internet-of-things-based-electric-vehicle-charging-notification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166037.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">71</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1656</span> Impact of Charging PHEV at Different Penetration Levels on Power System Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20R.%20Ahmad">M. R. Ahmad</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Musirin"> I. Musirin</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20M.%20Othman"> M. M. Othman</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20A.%20Rahmat"> N. A. Rahmat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Plug-in Hybrid-Electric Vehicle (PHEV) has gained immense popularity in recent years. PHEV offers numerous advantages compared to the conventional internal-combustion engine (ICE) vehicle. Millions of PHEVs are estimated to be on the road in the USA by 2020. Uncoordinated PHEV charging is believed to cause severe impacts to the power grid; i.e. feeders, lines and transformers overload and voltage drop. Nevertheless, improper PHEV data model used in such studies may cause the findings of their works is in appropriated. Although smart charging is more attractive to researchers in recent years, its implementation is not yet attainable on the street due to its requirement for physical infrastructure readiness and technology advancement. As the first step, it is finest to study the impact of charging PHEV based on real vehicle travel data from National Household Travel Survey (NHTS) and at present charging rate. Due to the lack of charging station on the street at the moment, charging PHEV at home is the best option and has been considered in this work. This paper proposed a technique that comprehensively presents the impact of charging PHEV on power system networks considering huge numbers of PHEV samples with its traveling data pattern. Vehicles Charging Load Profile (VCLP) is developed and implemented in IEEE 30-bus test system that represents a portion of American Electric Power System (Midwestern US). Normalization technique is used to correspond to real time loads at all buses. Results from the study indicated that charging PHEV using opportunity charging will have significant impacts on power system networks, especially whereas bigger battery capacity (kWh) is used as well as for higher penetration level. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=plug-in%20hybrid%20electric%20vehicle" title="plug-in hybrid electric vehicle">plug-in hybrid electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20electrification" title=" transportation electrification"> transportation electrification</a>, <a href="https://publications.waset.org/abstracts/search?q=impact%20of%20charging%20PHEV" title=" impact of charging PHEV"> impact of charging PHEV</a>, <a href="https://publications.waset.org/abstracts/search?q=electricity%20demand%20profile" title=" electricity demand profile"> electricity demand profile</a>, <a href="https://publications.waset.org/abstracts/search?q=load%20profile" title=" load profile"> load profile</a> </p> <a href="https://publications.waset.org/abstracts/7838/impact-of-charging-phev-at-different-penetration-levels-on-power-system-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7838.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">287</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1655</span> The Impact of the Parking Spot’ Surroundings on Charging Decision: A Data-Driven Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xizhen%20Zhou">Xizhen Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Yanjie%20Ji"> Yanjie Ji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The charging behavior of drivers provides a reference for the planning and management of charging facilities. Based on the real trajectory data of electric vehicles, this study explored the influence of the surrounding environments of the parking spot on charging decisions. The built environment, the condition of vehicles, and the nearest charging station were all considered. And the mixed binary logit model was used to capture the impact of unobserved heterogeneity. The results show that the number of fast chargers in the charging station, parking price, dwell time, and shopping services all significantly impact the charging decision, while the leisure services, scenic spots, and mileage since the last charging are opposite. Besides, factors related to unobserved heterogeneity include the number of fast chargers, parking and charging prices, residential areas, etc. The interaction effects of random parameters further illustrate the complexity of charging choice behavior. The results provide insights for planning and managing charging facilities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=charging%20decision" title="charging decision">charging decision</a>, <a href="https://publications.waset.org/abstracts/search?q=trajectory" title=" trajectory"> trajectory</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicle" title=" electric vehicle"> electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=infrastructure" title=" infrastructure"> infrastructure</a>, <a href="https://publications.waset.org/abstracts/search?q=mixed%20logit" title=" mixed logit"> mixed logit</a> </p> <a href="https://publications.waset.org/abstracts/174575/the-impact-of-the-parking-spot-surroundings-on-charging-decision-a-data-driven-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174575.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">71</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1654</span> Hybrid System Configurations and Charging Strategies for Isolated Electric Tuk-Tuk Charging Station in South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=L.%20Bokopane">L. Bokopane</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Kusakana"> K. Kusakana</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20J.%20Vermaark"> H. J. Vermaark </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The success of renewable powered electric vehicle charging station in isolated areas depends highly on the availability and sustainability of renewable resources all year round at a selected location. The main focus of this paper is to discuss the possible charging strategies that could be implemented to find the best possible configuration of an electric Tuk-Tuk charging station at a given location within South Africa. The charging station is designed, modeled and simulated to evaluate its performances. The techno-economic analysis of different feasible supply configurations of the charging station using renewable energies is simulated using HOMER software and the results compared in order to select the best possible charging strategies in terms of cost of energy consumed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electric%20tuk-tuk" title="electric tuk-tuk">electric tuk-tuk</a>, <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy" title=" renewable energy"> renewable energy</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20Storage" title=" energy Storage"> energy Storage</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20systems" title=" hybrid systems"> hybrid systems</a>, <a href="https://publications.waset.org/abstracts/search?q=HOMER" title=" HOMER"> HOMER</a> </p> <a href="https://publications.waset.org/abstracts/13148/hybrid-system-configurations-and-charging-strategies-for-isolated-electric-tuk-tuk-charging-station-in-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13148.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">513</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1653</span> Analysis and Design of Inductive Power Transfer Systems for Automotive Battery Charging Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wahab%20Ali%20Shah">Wahab Ali Shah</a>, <a href="https://publications.waset.org/abstracts/search?q=Junjia%20He"> Junjia He </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Transferring electrical power without any wiring has been a dream since late 19<sup>th</sup> century. There were some advances in this area as to know more about microwave systems. However, this subject has recently become very attractive due to their practiScal systems. There are low power applications such as charging the batteries of contactless tooth brushes or implanted devices, and higher power applications such as charging the batteries of electrical automobiles or buses. In the first group of applications operating frequencies are in microwave range while the frequency is lower in high power applications. In the latter, the concept is also called inductive power transfer. The aim of the paper is to have an overview of the inductive power transfer for electrical vehicles with a special concentration on coil design and power converter simulation for static charging. Coil design is very important for an efficient and safe power transfer. Coil design is one of the most critical tasks. Power converters are used in both side of the system. The converter on the primary side is used to generate a high frequency voltage to excite the primary coil. The purpose of the converter in the secondary is to rectify the voltage transferred from the primary to charge the battery. In this paper, an inductive power transfer system is studied. Inductive power transfer is a promising technology with several possible applications. Operation principles of these systems are explained, and components of the system are described. Finally, a single phase 2 kW system was simulated and results were presented. The work presented in this paper is just an introduction to the concept. A reformed compensation network based on traditional inductor-capacitor-inductor (LCL) topology is proposed to realize robust reaction to large coupling variation that is common in dynamic wireless charging application. In the future, this type compensation should be studied. Also, comparison of different compensation topologies should be done for the same power level. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coil%20design" title="coil design">coil design</a>, <a href="https://publications.waset.org/abstracts/search?q=contactless%20charging" title=" contactless charging"> contactless charging</a>, <a href="https://publications.waset.org/abstracts/search?q=electrical%20automobiles" title=" electrical automobiles"> electrical automobiles</a>, <a href="https://publications.waset.org/abstracts/search?q=inductive%20power%20transfer" title=" inductive power transfer"> inductive power transfer</a>, <a href="https://publications.waset.org/abstracts/search?q=operating%20frequency" title=" operating frequency"> operating frequency</a> </p> <a href="https://publications.waset.org/abstracts/71027/analysis-and-design-of-inductive-power-transfer-systems-for-automotive-battery-charging-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71027.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">249</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1652</span> Review of Vehicle to Grid Applications in Recent Years</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Afsane%20Amiri">Afsane Amiri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Electric Vehicle (EV) technology is expected to take a major share in the light-vehicle market in the coming decades. Charging of EVs will put an extra burden on the distribution grid and in some cases adjustments will need to be made. In this paper a review of different plug-in and vehicle to grid (V2G) capable vehicles are given along with their power electronics topologies. The economic implication of charging the vehicle or sending power back to the utility is described in brief. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20storage%20system" title="energy storage system">energy storage system</a>, <a href="https://publications.waset.org/abstracts/search?q=battery%20unit" title=" battery unit"> battery unit</a>, <a href="https://publications.waset.org/abstracts/search?q=cost" title=" cost"> cost</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20sizing" title=" optimal sizing"> optimal sizing</a>, <a href="https://publications.waset.org/abstracts/search?q=plug-in%20electric%20vehicles%20%28PEVs%29" title=" plug-in electric vehicles (PEVs)"> plug-in electric vehicles (PEVs)</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20grid" title=" smart grid"> smart grid</a> </p> <a href="https://publications.waset.org/abstracts/22824/review-of-vehicle-to-grid-applications-in-recent-years" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22824.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">600</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1651</span> Electric Vehicles Charging Stations: Strategies and Algorithms Integrated in a Power-Sharing Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Riccardo%20Loggia">Riccardo Loggia</a>, <a href="https://publications.waset.org/abstracts/search?q=Francesca%20Pizzimenti"> Francesca Pizzimenti</a>, <a href="https://publications.waset.org/abstracts/search?q=Francesco%20Lelli"> Francesco Lelli</a>, <a href="https://publications.waset.org/abstracts/search?q=Luigi%20Martirano"> Luigi Martirano</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recent air emission regulations point toward the complete electrification of road vehicles. An increasing number of users are beginning to prefer full electric or hybrid, plug-in vehicle solutions, incentivized by government subsidies and the lower cost of electricity compared to gasoline or diesel. However, it is necessary to optimize charging stations so that they can simultaneously satisfy as many users as possible. The purpose of this paper is to present optimization algorithms that enable simultaneous charging of multiple electric vehicles while ensuring maximum performance in relation to the type of charging station. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicles" title="electric vehicles">electric vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=charging%20stations" title=" charging stations"> charging stations</a>, <a href="https://publications.waset.org/abstracts/search?q=sharing%20model" title=" sharing model"> sharing model</a>, <a href="https://publications.waset.org/abstracts/search?q=fast%20charging" title=" fast charging"> fast charging</a>, <a href="https://publications.waset.org/abstracts/search?q=car%20park" title=" car park"> car park</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20profiles" title=" power profiles"> power profiles</a> </p> <a href="https://publications.waset.org/abstracts/151373/electric-vehicles-charging-stations-strategies-and-algorithms-integrated-in-a-power-sharing-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/151373.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">154</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1650</span> Solar Powered Front Wheel Drive (FWD) Electric Trike: An Innovation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Michael%20C.%20Barbecho">Michael C. Barbecho</a>, <a href="https://publications.waset.org/abstracts/search?q=Romeo%20B.%20Morcilla"> Romeo B. Morcilla</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study focused on the development of a solar powered front wheel drive electric trike for personal use and short distance travel, utilizing solar power and a variable speed transmission to adapt in places where varying road grades and unavailability of plug-in charging stations are of great problems. The actual performance of the vehicle was measured in terms of duration of charging using solar power, distance travel and battery power duration, top speed developed at full power, and load capacity. This project followed the research and development process which involved planning, designing, construction, and testing. Solar charging tests revealed that the vehicle requires 6 to 8 hours sunlight exposure to fully charge the batteries. At full charge, the vehicle can travel 35 km utilizing battery power down to 42%. Vehicle showed top speed of 25 kph at 0 to 3% road grade carrying a maximum load of 122 kg. The maximum climbing grade was 23% with the vehicle carrying a maximum load of 122 kg. Technically the project was feasible and can be a potential model for possible conversion of traditional Philippine made “pedicabs” and gasoline engine powered tricycle into modern electric vehicles. Moreover, it has several technical features and advantages over a commercialized electric vehicle such as the use solar charging system and variable speed power transmission and front drive power train for adaptability in any road gradient. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicle" title="electric vehicle">electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20vehicles" title=" solar vehicles"> solar vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=front%20drive" title=" front drive"> front drive</a>, <a href="https://publications.waset.org/abstracts/search?q=solar" title=" solar"> solar</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20power" title=" solar power "> solar power </a> </p> <a href="https://publications.waset.org/abstracts/22601/solar-powered-front-wheel-drive-fwd-electric-trike-an-innovation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22601.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">571</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1649</span> Investigating the Characteristics of Correlated Parking-Charging Behaviors for Electric Vehicles: A Data-Driven Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xizhen%20Zhou">Xizhen Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=Yanjie%20Ji"> Yanjie Ji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In advancing the management of integrated electric vehicle (EV) parking-charging behaviors, this study uses Changshu City in Suzhou as a case study to establish a data association mechanism for parking-charging platforms and to develop a database for EV parking-charging behaviors. Key indicators, such as charging start time, initial state of charge, final state of charge, and parking-charging time difference, are considered. Utilizing the K-S test method, the paper examines the heterogeneity of parking-charging behavior preferences among pure EV and non-pure EV users. The K-means clustering method is employed to analyze the characteristics of parking-charging behaviors for both user groups, thereby enhancing the overall understanding of these behaviors. The findings of this study reveal that using a classification model, the parking-charging behaviors of pure EVs can be classified into five distinct groups, while those of non-pure EVs can be separated into four groups. Among them, both types of EV users exhibit groups with low range anxiety for complete charging with special journeys, complete charging at destination, and partial charging. Additionally, both types have a group with high range anxiety, characterized by pure EV users displaying a preference for complete charging with specific journeys, while non-pure EV users exhibit a preference for complete charging. Notably, pure EV users also display a significant group engaging in nocturnal complete charging. The findings of this study can provide technical support for the scientific and rational layout and management of integrated parking and charging facilities for EVs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traffic%20engineering" title="traffic engineering">traffic engineering</a>, <a href="https://publications.waset.org/abstracts/search?q=potential%20preferences" title=" potential preferences"> potential preferences</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster%20analysis" title=" cluster analysis"> cluster analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=EV" title=" EV"> EV</a>, <a href="https://publications.waset.org/abstracts/search?q=parking-charging%20behavior" title=" parking-charging behavior"> parking-charging behavior</a> </p> <a href="https://publications.waset.org/abstracts/174576/investigating-the-characteristics-of-correlated-parking-charging-behaviors-for-electric-vehicles-a-data-driven-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174576.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">77</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1648</span> Optimization of Electric Vehicle (EV) Charging Station Allocation Based on Multiple Data - Taking Nanjing (China) as an Example</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yue%20Huang">Yue Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yiheng%20Feng"> Yiheng Feng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to the global pressure on climate and energy, many countries are vigorously promoting electric vehicles and building charging (public) charging facilities. Faced with the supply-demand gap of existing electric vehicle charging stations and unreasonable space usage in China, this paper takes the central city of Nanjing as an example, establishes a site selection model through multivariate data integration, conducts multiple linear regression SPSS analysis, gives quantitative site selection results, and provides optimization models and suggestions for charging station layout planning. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicle" title="electric vehicle">electric vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=charging%20station" title=" charging station"> charging station</a>, <a href="https://publications.waset.org/abstracts/search?q=allocation%20optimization" title=" allocation optimization"> allocation optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20mobility" title=" urban mobility"> urban mobility</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20infrastructure" title=" urban infrastructure"> urban infrastructure</a>, <a href="https://publications.waset.org/abstracts/search?q=nanjing" title=" nanjing"> nanjing</a> </p> <a href="https://publications.waset.org/abstracts/162869/optimization-of-electric-vehicle-ev-charging-station-allocation-based-on-multiple-data-taking-nanjing-china-as-an-example" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162869.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">92</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1647</span> Optimizing Electric Vehicle Charging with Charging Data Analytics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tayyibah%20Khanam">Tayyibah Khanam</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Saad%20Alam"> Mohammad Saad Alam</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanchari%20Deb"> Sanchari Deb</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasser%20Rafat"> Yasser Rafat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Electric vehicles are considered as viable replacements to gasoline cars since they help in reducing harmful emissions and stimulate power generation through renewable energy sources, hence contributing to sustainability. However, one of the significant obstacles in the mass deployment of electric vehicles is the charging time anxiety among users and, thus, the subsequent large waiting times for available chargers at charging stations. Data analytics, on the other hand, has revolutionized the decision-making tasks of management and operating systems since its arrival. In this paper, we attempt to optimize the choice of EV charging stations for users in their vicinity by minimizing the time taken to reach the charging stations and the waiting times for available chargers. Time taken to travel to the charging station is calculated by the Google Maps API and the waiting times are predicted by polynomial regression of the historical data stored. The proposed framework utilizes real-time data and historical data from all operating charging stations in the city and assists the user in finding the best suitable charging station for their current situation and can be implemented in a mobile phone application. The algorithm successfully predicts the most optimal choice of a charging station and the minimum required time for various sample data sets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=charging%20data" title="charging data">charging data</a>, <a href="https://publications.waset.org/abstracts/search?q=electric%20vehicles" title=" electric vehicles"> electric vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=waiting%20times" title=" waiting times"> waiting times</a> </p> <a href="https://publications.waset.org/abstracts/133474/optimizing-electric-vehicle-charging-with-charging-data-analytics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133474.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info 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