{"id":704483,"date":"2023-09-15T08:30:00","date_gmt":"2023-09-15T06:30:00","guid":{"rendered":"https:\/\/www.capgemini.com\/?post_type=press-release&#038;p=954556"},"modified":"2023-09-17T22:21:42","modified_gmt":"2023-09-18T03:21:42","slug":"capgemini-collaborates-with-leading-experts-from-the-technical-university-of-munich-to-integrate-ai-in-sustainable-battery-design-for-electric-mobility","status":"publish","type":"press-release","link":"https:\/\/www.capgemini.com\/us-en\/news\/press-releases\/capgemini-collaborates-with-leading-experts-from-the-technical-university-of-munich-to-integrate-ai-in-sustainable-battery-design-for-electric-mobility\/","title":{"rendered":"Capgemini collaborates with leading experts from the Technical University of Munich to integrate AI in sustainable battery design for electric mobility"},"content":{"rendered":"\t\t<div class=\"wp-block-cg-blocks-hero-press-release\">\n\t\t\t<header class=\"header-hero-press-release\" role=\"main\" id=\"main-content-press-release\">\n\t\t\t\t<div class=\"container\">\n\t\t\t\t\t<div class=\"hero-press-release\">\n\t\t\t\t\t\t<div class=\"hero-press-release-content-wrapper\">\n\t\t\t\t\t\t\t<div class=\"row\">\n\t\t\t\t\t\t\t\t<div class=\"col-12\">\n\t\t\t\t\t\t\t\t\t<div class=\"header-title\">\n\t\t\t\t\t\t\t\t\t\t<h1>\n\t\t\t\t\t\t\t\t\t\t\tCapgemini collaborates with leading experts from the Technical University of Munich to integrate AI in sustainable battery design for electric mobility\t\t\t\t\t\t\t\t\t\t<\/h1>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"header-description\">\n\t\t\t\t\t\t\t\t\t\t<p>New collaboration will build methods and tools for virtual battery modeling and development including cell level simulation to help optimize sustainable battery design and related management systems<\/p>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"header-date\">\n\t\t\t\t\t\t\t\t\t\t<span>Sep 15, 2023<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"hero-press-release-downloads\">\n\t\t\t\t\t\t\t\t<div class=\"row\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"col-12 col-md-6 col-lg-3\">\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"download-item\" type=\"download\" href=\"https:\/\/www.capgemini.com\/wp-content\/uploads\/2023\/09\/2023_09_15-Capgemini_TUM-Research-collaboration-2.pdf\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"Opens in a new window\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"download-icon\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"download-details\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"download-title\">Download press release<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"download-props\">108 KB  pdf<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/header>\n\t\t<\/div>\n\t\t\n\n\n<section class=\"wp-block-cg-blocks-group undefined section section--article-content\"><div class=\"article-main-content\"><div class=\"container\"><div class=\"grid-container\"><div class=\"col-12 col-md-2\"><nav class=\"article-social\"><ul class=\"social-nav\"><li class=\"ip-order-fb\"><a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?=http:\/\/capgeminiucwe.develop\/?post_type=press-release&amp;p=179\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-fb\"><\/i><span class=\"sr-only\">Facebook<\/span><\/a><\/li><li class=\"ip-order-tw\"><a href=\"https:\/\/twitter.com\/intent\/tweet?=http:\/\/capgeminiucwe.develop\/?post_type=press-release&amp;p=179\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-tw\"><\/i><span class=\"sr-only\">Twitter<\/span><\/a><\/li><li class=\"ip-order-li\"><a href=\"https:\/\/www.linkedin.com\/shareArticle?=http:\/\/capgeminiucwe.develop\/?post_type=press-release&amp;p=179\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"opens in a new window\"><i aria-hidden=\"true\" class=\"icon-li\"><\/i><span class=\"sr-only\">Linkedin<\/span><\/a><\/li><\/ul><\/nav><\/div><div><div class=\"article-text article-quote-text\">\n<p><strong>Paris, September 15, 2023<\/strong> <strong>&#8211;<\/strong><strong> <\/strong><a href=\"https:\/\/www.capgemini.com\/\"><strong>Capgemini<\/strong><\/a> <strong>announced today the launch of a research collaboration with the Chair of Electrical Energy Storage Technology at the Technical University of Munich(<\/strong><a href=\"https:\/\/www.tum.de\/en\/\"><strong>TUM<\/strong><\/a><strong>)<\/strong><strong>, to develop Artificial Intelligence solutions to optimize sustainable advanced virtual battery design.<\/strong><\/p>\n\n\n\n<p>Electric mobility and vehicles are key elements to aid the fight against climate change, but battery design and related management systems remain a challenge for the industry. In particular, performance, cost, aging and safety optimization of battery cell systems remain a crucial area of research. A better understanding, modeling, and simulation of the physical properties of battery cells will significantly improve their performance while reducing the time and costs associated with sustainable battery research.<\/p>\n\n\n\n<p>This new research program with the Chair of Electrical Energy Storage Technology atTUM is part of Capgemini\u2019s Strategic University Program, a key initiative with the primary objective to co-invest with world-class universities to produce high quality research outputs that contribute to answer the question \u201cWhat are the key challenges of a more intelligent industry in our society?\u201d These deeply collaborative projects, where Capgemini experts work alongside leading academics, aim to contribute to the advancement of engineering in a three-to-five-year research horizon. They are designed to harness the power of technology and enhance capabilities in Intelligent Industry<a href=\"#_ftn1\" id=\"_ftnref1\">[1]<\/a>.<\/p>\n\n\n\n<p>The collaboration between Capgemini and TUM will focus on the development of AI-based parameter simulation for lithium-ion battery systems. The purpose will be to significantly speed-up and optimize battery design to improve product performance: modeling and simulating electrochemical-thermal couplings, identifying the right materials, and reducing the use of materials, all to help ensure the best cell design and integration in battery packs.<\/p>\n\n\n\n<p><em>\u201cAdvanced battery models in combination with AI and optimized control enable a cost-, age-, and safety-optimized operation of lithium-ion batteries. Most challenging and time consuming is the parameter identification for these models. The non-invasive parameter identification methods we develop through this new collaboration have the potential to reduce time and effort drastically and enable us to use advanced battery models within highly optimized battery applications\u201d,<\/em> explained Professor Dr. Andreas Jossen, Head of Chair of Electrical Energy Storage Technology, at TUM.<\/p>\n\n\n\n<p><em>\u201cWe are thrilled to launch a new research program with leading experts from TUM, a world-class university in technology and engineering, to further inform and enhance our capabilities in Intelligent Industry. It is essential to accelerate on sustainable battery design to develop electric mobility. Thanks to this new collaboration and our expertise in batteries, AI and multi-physics simulation, we are aiming to create advanced engineering designs, a key lever to reach sustainability objectives<\/em>\u201d, stated William Roz\u00e9, CEO of Capgemini Engineering and Group Executive Board Member.<\/p>\n\n\n\n<p>[1] \u2018Intelligent Industry\u2019 is the new era of digital transformation: characterized by a growing convergence of the physical and virtual worlds &#8211; product, software, data, and services &#8211; across all industries; and fueled by the rapid development of technologies, including cloud, artificial intelligence (AI), internet of things (IoT), edge computing and 5G.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-\"><\/h2>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n\n\n<div class=\"wp-block-cg-blocks-cg-block-related-content\"><section class=\"relatedContentBlock\"><div 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href=\"https:\/\/www.capgemini.com\/us-en\/news\/press-releases\/capgemini-and-google-cloud-expand-strategic-partnership-to-accelerate-ai-adoption-at-scale-by-providing-trusted-and-secure-sovereign-solutions\/\">Read more about<\/a>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div><\/div><\/div><\/section><\/div>","protected":false},"excerpt":{"rendered":"<p>Capgemini announced today the launch of a research collaboration with the Chair of Electrical Energy Storage Technology at the Technical University of Munich(TUM), to develop Artificial Intelligence solutions to optimize sustainable advanced virtual battery design.<\/p>\n","protected":false},"author":376,"featured_media":0,"template":"","meta":{"cg_dt_proposed_to":[],"cg_seo_hreflang_relations":"[]","cg_seo_canonical_relation":"","cg_seo_hreflang_x_default_relation":"{\"uuid\":\"7bfa06fd-cca9-4d35-a3d4-1dcf0e707859\",\"blogId\":\"1\",\"domain\":\"www.capgemini.com\",\"sitePath\":\"\/\",\"postLink\":\"https:\/\/www.capgemini.com\/news\/press-releases\/capgemini-collaborates-with-leading-experts-from-the-technical-university-of-munich-to-integrate-ai-in-sustainable-battery-design-for-electric-mobility\/\",\"postId\":954556,\"isSaved\":true,\"isCrossLink\":false,\"hasCrossLink\":false,\"isEnabled\":true}","cg_dt_approved_content":true,"cg_dt_mandatory_content":false,"cg_dt_notes":"","cg_dg_source_changed":false,"cg_dt_link_disabled":false,"footnotes":"","related_resource_url":"https:\/\/www.capgemini.com\/wp-content\/uploads\/2023\/09\/2023_09_15-Capgemini_TUM-Research-collaboration-2.pdf","related_resource_id":954806,"related_resource_size":"108 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