Capgemini collaborates with Munich university on EV battery design
Date: 15 Sep 2023
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.
Euros 22 billion Capgemini is a global leader in partnering with companies to
transform and manage their business by harnessing the power of technology.
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,
modelling, 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.
new research programme with the Chair of Electrical Energy Storage Technology at
TUM is part of Capgemini’s 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 “What are
the key challenges of a more intelligent industry in our society?” 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 .
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
ensurethe best cell design and integration in battery packs.
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”,
explained Professor Dr. Andreas Jossen, Head of Chair of Electrical Energy
Storage Technology, at TUM.
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”, stated William Rozé, CEO of Capgemini Engineering
and Group Executive Board Member.