Capgemini and Technical University of Munich partner to use AI for electric mobility

Capgemini announced 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 optimise sustainable advanced virtual battery design. 

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 optimise 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. 

“Advanced 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 optimised battery applications”, explained Professor Dr. Andreas Jossen, Head of Chair of Electrical Energy Storage Technology, at TUM.

“We 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 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”, stated William Rozé, CEO of Capgemini Engineering and Group Executive Board Member. 

These 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.