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AI at ZF: Developing Faster and More Efficiently - ZF

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The entire portfolio benefits from artificial intelligence, which also contributes to faster and more efficient processes within the Group. </p> </div> </div> <div class="zfcsts-author-box"> <div class="zfcsts-author"> Author: Andreas Neemann, 2024-08-26 </div> </div> </div> </div> </div> </div> <!--end Story Stage--><!-- begin section_wrapper --> </div> </div> <!-- begin section_wrapper_part --> <div class="zfcsw-wrapper " id="sw_content_1174395"> <div class="zfcsw-wrapper-content zfc-wrapper-content"> <!-- end section_wrapper_part --> <!-- end section_wrapper --> <!--begin Text with image + gallery--> <div class="zfctm-text-media zfctm-text-media-text-only" id="tm_seq1_1174397" > <div class="row"> <div class="zfctm-text-media-heading-wrapper"> <div class="zfctm-text-copy zfcui-prometo-light"> <p>Artificial intelligence has been present in the automotive industry for many years, including at ZF, long before language models like ChatGPT or image generators like DALL-E became popular. Highly automated and assisted driving relies on AI algorithms. But the potential of AI goes beyond that. When used correctly, AI is an important enabler and success factor. </p> </div> </div> <div class="zfctm-text-media-content-wrapper"> </div> </div> </div> <!--end Text with image + gallery--> <!--begin Text with image + gallery--> <div class="zfctm-text-media zfctm-text-media-text-only" id="tm_sec2_1174398" > <div class="row"> <div class="zfctm-text-media-heading-wrapper"> <div class="zfctm-headline"> <h2 class="zfctm-headline-text zfcui-prometo-medium">AI Speeds up Path to Marketable Products</h2> </div> <div class="zfctm-text-copy zfcui-prometo-light"> <p>“AI is of strategic importance for ZF because it helps us to redesign and optimize our products and development processes and develop more efficiently” explains Torsten Gollewski, Executive Vice President Corporate R&amp;D Innovation &amp; Technology. And not just in terms of software for driving or assistance functions. Engineers across the Group are exploring how AI can play an important role in developing and designing ZF products made of copper and steel. Here, AI can shorten the development cycles. AI can also optimize logistics processes, spanning the entire value stream of the production chain – from the supplier, the ZF plants, all the way to delivery to customers. </p> </div> </div> <div class="zfctm-text-media-content-wrapper"> </div> </div> </div> <!--end Text with image + gallery--> <!--begin Text with image + gallery--> <div class="zfctm-text-media zfctm-text-media-full-width zfctm-full-width-media" id="quote_1174399" > <div class="row"> <div class="zfctm-text-media-heading-wrapper"> </div> <div class="zfctm-text-media-content-wrapper"> <div class="zfctm-quote zfcatm-media-content"> <div class="zfctm-quote-wrapper"> <div class="zfctm-quote-text zfcui-prometo-medium">“AI is of strategic importance for ZF because it helps us to redesign and optimize our products and development processes and develop more efficiently.”</div> <span class="zfctm-quote-author zfcui-prometo-light">Torsten Gollewski, Executive Vice President Corporate R&D Innovation & Technology</span> </div> </div> </div> </div> </div> <!--end Text with image + gallery--> <!--begin Text with image + gallery--> <div class="zfctm-text-media zfctm-text-media-text-only" id="tm_sec3_1174400" > <div class="row"> <div class="zfctm-text-media-heading-wrapper"> <div class="zfctm-headline"> <h2 class="zfctm-headline-text zfcui-prometo-medium">Accelerating Development Processes</h2> </div> <div class="zfctm-text-copy zfcui-prometo-light"> <p>The AI Tech Center in Friedrichshafen, anchored within Corporate Research and Development, plays a significant role in this. This trend is evident across various industries, where generative AI leads to significant cost savings in development. Generative AI can be particularly helpful in accelerating and streamlining the development process when creating artifacts such as requirement specifications, design drawings, layouts and code. &#34;This is why the validation of AI-generated results by the developer will be even more important in the future,&#34; explains Dr. Manuel Götz, who heads the AI Tech Center. </p><p></p><p>In a large, globally active group like ZF, significant development time can be saved during the initial project phase by systematically analyzing customer requirements. &#34;We see a lot of potential for AI in requirements analysis and management,&#34; explains Götz. There is an internal pilot project for this purpose. It identifies recurring or similar requirements in customer requests. This allows engineers from different ZF divisions not only to find similar elements in recent requirements specifications but also to see how they were handled. &#34;Developers gain access to code, test specifications and other tools that can also be utilized for the new project – even if it&#39;s just to make the estimates faster and more reliable,&#34; says Götz. AI thus facilitates the sharing of expertise and unlocks additional benefits. </p><p></p><p>AI algorithms can also make the later stages of development projects faster and leaner – testing and validation, for example. There has been a longstanding trend to support or replace complex and time-consuming hardware setups with simulations. However, even the simulations are quite complex, as they require extensive programming based on a mathematical-physical model. &#34;It will be cheaper and more efficient if we use AI algorithms as non-linear approximators, provided there are sufficient amounts of data,&#34; explains Dr. Tobias Ehlgen , Head of AI Systems &amp; Control. In this way, AI agents can orchestrate the validation of product designs and reduce development time as well. </p> </div> </div> <div class="zfctm-text-media-content-wrapper"> </div> </div> </div> <!--end Text with image + gallery--><!-- begin section_wrapper --> </div> </div> <!-- begin section_wrapper_part --> <div class="zfcsw-wrapper zfcsw-wrapper-grey " id="sw_slider_1174402"> <div class="zfcsw-wrapper-content zfc-wrapper-content"> <!-- end section_wrapper_part --> <!-- end section_wrapper --> <!--begin Text with image + gallery--> <div class="zfctm-text-media zfctm-text-media-text-only" id="tm_headline_1174404" > <div class="row"> <div class="zfctm-text-media-heading-wrapper"> <div class="zfctm-headline"> <h2 class="zfctm-headline-text zfcui-prometo-medium">Fields of Application of AI in Development </h2> </div> </div> <div class="zfctm-text-media-content-wrapper"> </div> </div> </div> <!--end Text with image + gallery--> <!--begin Flex Teaser--> <div class="zfctf-teasers zfctf-teasers-card zfctf-teasers-card-50 zfctf-teasers-slider " id="ft_cards_ki_1174409" > <div class="row"> <!--begin Single Flex Teaser--> <div class="zfctf-teaser" > <!--begin divider_part--> <div class="zfc-separator " > <span class="zfc-dotted-line zfcui-prometo-light zfc-dotted-no-title zfc-dotted-line-inherit zfcui-color-inherit"></span> </div> <!--end divider_part--> <div class="zfctf-teaser-item"> <div class="zfctf-teaser-image-wrapper zfcui-aspect-3-2"> <a aria-label="opens in a new tab"> <img data-src="https://www.zf.com/master/media/magazine/2024/24_08/ai_at_zf/STOCK_GRA_shutterstock_2424111477_1500px_3_2_748px.jpg" alt="Increasing Efficiency "> </a> </div> <div class="zfctf-teaser-content-wrapper"> <h3 class="zfctf-teaser-title zfc-title zfcui-prometo-medium">Increasing Efficiency </h3> <div class="zfctf-teaser-copy zfc-copy zfcui-color-black zfcui-prometo-light" > In the initial phase of a development project, AI helps to save time, for example when customer requirements are systematically analyzed. It detects repetitive or similar requirements in customer inquiries. This allows engineers from different departments to find comparable elements in customer requirements. This creates synergies in the use of code, test specifications and tools. AI thus supports the exchange of experience and enables multiple benefits. </div> </div> </div> </div> <!--end Single Flex Teaser--> <!--begin Single Flex Teaser--> <div class="zfctf-teaser" > <!--begin divider_part--> <div class="zfc-separator " > <span class="zfc-dotted-line zfcui-prometo-light zfc-dotted-no-title zfc-dotted-line-inherit zfcui-color-inherit"></span> </div> <!--end divider_part--> <div class="zfctf-teaser-item"> <div class="zfctf-teaser-image-wrapper zfcui-aspect-3-2"> <a aria-label="opens in a new tab"> <img data-src="https://www.zf.com/master/media/magazine/2024/24_08/ai_at_zf/ZF_Infografik_Virtual_Sensor-2048px_3_2_748px.jpg" alt="Virtual Sensors"> </a> </div> <div class="zfctf-teaser-content-wrapper"> <h3 class="zfctf-teaser-title zfc-title zfcui-prometo-medium">Virtual Sensors </h3> <div class="zfctf-teaser-copy zfc-copy zfcui-color-black zfcui-prometo-light" > The control software of many products requires data on temperatures, speeds and positions for efficient operation. However, some of these parameters cannot be measured, for example inside an electric motor. Machine learning, the combination of hardware tests and AI evaluation enable ZF developers to determine this information from the available measurement data (left) and from extrapolations by the AI (right). </div> </div> </div> </div> <!--end Single Flex Teaser--> <!--begin Single Flex Teaser--> <div class="zfctf-teaser" > <!--begin divider_part--> <div class="zfc-separator " > <span class="zfc-dotted-line zfcui-prometo-light zfc-dotted-no-title zfc-dotted-line-inherit zfcui-color-inherit"></span> </div> <!--end divider_part--> <div class="zfctf-teaser-item"> <div class="zfctf-teaser-image-wrapper zfcui-aspect-3-2"> <a aria-label="opens in a new tab"> <img data-src="https://www.zf.com/master/media/magazine/2024/24_08/ai_at_zf/cubiX_3_2_748px.jpg" alt="cubiX control software"> </a> </div> <div class="zfctf-teaser-content-wrapper"> <h3 class="zfctf-teaser-title zfc-title zfcui-prometo-medium">cubiX</h3> <div class="zfctf-teaser-copy zfc-copy zfcui-color-black zfcui-prometo-light" > The cubiX control software networks and coordinates the active and semi-active actuators with a control algorithm for all longitudinal, lateral and vertical dynamic controls in a car&#39;s chassis. Many of these AD and ADAS functions also require predictive trajectory control, i.e. the prediction of exactly where the vehicle could move. The cubiX developers also use machine learning methods for this. </div> </div> </div> </div> <!--end Single Flex Teaser--> </div> </div> <!--end Flex Teaser--><!-- begin section_wrapper --> </div> </div> <!-- begin section_wrapper_part --> <div class="zfcsw-wrapper zfcsw-wrapper-white " id="sw_content_1_1174403"> <div class="zfcsw-wrapper-content zfc-wrapper-content"> <!-- end section_wrapper_part --> <!-- end section_wrapper --> <!--begin Text with image + gallery--> <div class="zfctm-text-media zfctm-text-media-text-only" id="tm_sec4_1174405" > <div class="row"> <div class="zfctm-text-media-heading-wrapper"> <div class="zfctm-headline"> <h2 class="zfctm-headline-text zfcui-prometo-medium">Connecting AI with ZF's Core Business</h2> </div> <div class="zfctm-text-copy zfcui-prometo-light"> <p>There are, of course, other ZF products where AI comes into play. &#34;In our core business, we combine our vast expertise and experience with AI approaches – and gain competitive advantages in this way,&#34; explains Götz. One example is the cubiX control software. It interlinks and coordinates the active and semi-active actuators with a control algorithm for all longitudinal, lateral and vertical dynamics controls in the chassis of a car. Many of these AD and ADAS functions also require predictive trajectory control, which means predicting where exactly the vehicle could move. This is where cubiX developers apply machine learning methods. </p><p></p><p>Another highly interesting field of application is <a href='https://www.zf.com/mobile/en/technologies/digitalization/stories/virtual_sensor.html' target='_self' class='zfui-color-cyan' >virtual sensors</a>. The control software of many ZF products requires data on temperatures, speeds and positions to ensure efficient operation. However, some of these parameters cannot be measured in real operation. For example, it is simply not possible to install a physical sensor in the highly dynamic interior of an electric motor&#39;s rotor. </p> </div> </div> <div class="zfctm-text-media-content-wrapper"> </div> </div> </div> <!--end Text with image + gallery--> <!--begin Text with image + gallery--> <div class="zfctm-text-media zfctm-text-media-text-only" id="tm_sec5_1174406" > <div class="row"> <div class="zfctm-text-media-heading-wrapper"> <div class="zfctm-headline"> <h2 class="zfctm-headline-text zfcui-prometo-medium">Virtual Sensors and New Digital Business</h2> </div> <div class="zfctm-text-copy zfcui-prometo-light"> <p>Thanks to machine learning, the combination of hardware testing and AI evaluation, ZF developers can also obtain this information by having AI calculate it based on specific changes in environmental factors. &#34;At ZF, the potential for applying virtual sensors is immense because our product range still heavily relies on mechanical components,&#34; says Götz. The temperature sensor in the rotor was just the beginning. Further projects are in the pipeline, where AI could take over the complex measurement of torque or friction values or calculate the service life of agricultural machinery transmissions from the utilization profiles. Further business models or service agreements could then be derived from the information determined in this manner.</p><p></p><p>The examples show that AI has already become an integral part of daily life at ZF, with the company firmly focused on adding and creating value. The AI Tech Centre picks up on ideas from the divisions or responds to their specific needs. This creates synergies, not only in terms of tools, processes and concrete applications, but also in terms of the framework. Ultimately, overarching topics such as cybersecurity, intellectual property and the ethical use of AI must also be consistently regulated throughout the Group.</p> </div> </div> <div class="zfctm-text-media-content-wrapper"> </div> </div> </div> <!--end Text with image + gallery--><!--begin Story Author--> <div class="zfcsa-story-author"> <div class="row"> <div class="zfcai-author-profile"> <div class="zfai-author-image"> <img src="https://www.zf.com/master/media/magazine/authors/Wortwerkstatt-PR-Content-Andreas-Neemann_magazine_author.jpg" alt="author_image" /> </div> <div class="zfai-author-caption-wrapper"> <p><strong>Andreas Neemann</strong> wrote his first ZF text in 2001 about 6HP transmissions. Since then, the automotive writer has filled many publications for internal and external readers, showcasing his passion for the Group's more complex subjects.</p> </div> </div> </div> </div> <!--end Story Author--><!--begin Divider--> <!--begin divider_part--> <h3 class="zfc-separator " id="divider_1_1174407"> <span class="zfc-dotted-line zfcui-prometo-light zfc-dotted-line-inherit zfcui-color-inherit">Related Content</span> </h3> <!--end divider_part--> <!--end Divider--><!--begin Tile Teaser--> <div class="zfctt-teasers " id="tile_teasers_1174408" > <div class="row zfctt-item-wrapper"> <!--begin Single Tile Teaser--> <!--begin Single Teaser Part--> <div class="zfctt-item zfctt-teaser zfctt-teaser-s" > <a href="https://www.zf.com/mobile/en/technologies/digitalization/stories/virtual_sensor.html" target="_self" class="zfctt-item-block"> <div class="zfctt-image-wrapper"> <img class="zfctt-image" data-image-name="https://www.zf.com/master/media/magazine/2023/23_07/virtual_sensor/Virtual-Sensor_Stage.webp" data-image-1-1="https://www.zf.com/master/media/magazine/2023/23_07/virtual_sensor/Virtual-Sensor_Stage_1_1_422px.webp" data-image-2-1="https://www.zf.com/master/media/magazine/2023/23_07/virtual_sensor/Virtual-Sensor_Stage_2_1_820px.webp" data-image-3-2="https://www.zf.com/master/media/magazine/2023/23_07/virtual_sensor/Virtual-Sensor_Stage_3_2_748px.webp" data-image-16-9="https://www.zf.com/master/media/magazine/2023/23_07/virtual_sensor/Virtual-Sensor_Stage_Widescreen169.webp" alt="Virtual Sensors at ZF" title="Virtual Sensors at ZF" /> <img class="zfctt-mobile-image" data-src="https://www.zf.com/master/media/magazine/2023/23_07/virtual_sensor/Virtual-Sensor_Stage_3_2_748px.webp" alt="Virtual Sensors at ZF" title="Virtual Sensors at ZF" /> <div class="zfctt-social-content-wrapper"> <div class="zfctt-content-social"> <div class="zfctt-content-social-heading"> <div class="zfctt-content-social-heading-container"> <span class="zfcui-icon zfctt-icon-social"></span> <h3 class="zfcui-color-grey-dark"></h3> <h3 class="zfcui-color-cyan"> AI Helps to Measure Temperature </h3> <span class="zfctt-btn-go zfcui-icon zfcui-icon-arrow-big-thin-r zfcui-bg-cyan"></span> </div> </div> <div class="zfctt-text-social zfcui-prometo-medium zfcui-color-grey-dark"> <div><div>When an electric motor rotates at high speed, it is difficult to determine the exact temperature inside. However, this information is important for function development. AI is now helping where humans and measuring struggle with a solution.</div></div> </div> </div> </div> </div> <div class="zfctt-content-bg"></div> <div class="zfctt-category zfcui-color-grey-dark"> <span class="zfctt-category-label zfcui-prometo-medium" data-text-limit="40">Technology</span> </div> <div class="zfctt-content"> <h3 class="zfctt-headline zfcui-prometo-medium" data-text-limit="45"> AI Helps to Measure Temperature </h3> <div class="zfctt-text zfcui-prometo-light" data-text-limit="210"> When an electric motor rotates at high speed, it is difficult to determine the exact temperature inside. However, this information is important for function development. AI is now helping where humans and measuring struggle with a solution. </div> </div> </a> </div> <!--end Single Teaser Part--> <!--end Single Tile Teaser--> <!--begin Single Tile Teaser--> <!--begin Single Teaser Part--> <div class="zfctt-item zfctt-teaser zfctt-teaser-s" > <a href="https://www.zf.com/mobile/en/technologies/digitalization/stories/ai_bot.html" target="_self" class="zfctt-item-block"> <div class="zfctt-image-wrapper"> <img class="zfctt-image" data-image-name="https://www.zf.com/master/media/magazine/2022/22_02/ki_bot/MicrosoftTeams-image_4.jpg" data-image-1-1="https://www.zf.com/master/media/magazine/2022/22_02/ki_bot/MicrosoftTeams-image_4_1_1_422px.jpg" data-image-2-1="https://www.zf.com/master/media/magazine/2022/22_02/ki_bot/MicrosoftTeams-image_4_2_1_820px.jpg" data-image-3-2="https://www.zf.com/master/media/magazine/2022/22_02/ki_bot/MicrosoftTeams-image_4_3_2_748px.jpg" data-image-16-9="https://www.zf.com/master/media/magazine/2022/22_02/ki_bot/MicrosoftTeams-image_4_Widescreen169.jpg" alt="AI-Bot at Quality assurance" title="AI-Bot at Quality assurance" /> <img class="zfctt-mobile-image" data-src="https://www.zf.com/master/media/magazine/2022/22_02/ki_bot/MicrosoftTeams-image_4_3_2_748px.jpg" alt="AI-Bot at Quality assurance" title="AI-Bot at Quality assurance" /> <div class="zfctt-social-content-wrapper"> <div class="zfctt-content-social"> <div class="zfctt-content-social-heading"> <div class="zfctt-content-social-heading-container"> <span class="zfcui-icon zfctt-icon-social"></span> <h3 class="zfcui-color-grey-dark"></h3> <h3 class="zfcui-color-cyan"> When Quality is the AI Bot&#39;s Job </h3> <span class="zfctt-btn-go zfcui-icon zfcui-icon-arrow-big-thin-r zfcui-bg-cyan"></span> </div> </div> <div class="zfctt-text-social zfcui-prometo-medium zfcui-color-grey-dark"> <div><div>Quality control made easy: Thanks to artificial intelligence, robots can support their human ZF colleagues more efficiently in production. 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