Mastering Battery Thermal Performance with Simulation and AI: From Cell to Module

Batteries are the new fuel tanks of electric mobility, and one of the most complex systems engineers have to design. They must store more energy, stay safe under abuse conditions and last longer, while remaining affordable to industrialize.

Modeling and simulation (MODSIM) makes it possible to understand battery behavior at every scale, from materials and cells to packs and full systems, long before a prototype exists. Combined with artificial intelligence, physics-based models help engineers explore more design options, decide earlier and cut the cost and risk of design and validation.

How can battery engineers accelerate innovation while ensuring performance, safety, and thermal reliability across multiple scales?

Join us for this webinar to discover:

• How multiphysics and multiscale modeling and simulation can help predict, analyze, and validate battery behavior, from individual cells to complete modules
• How CATIA Dymola, through an integrated simulation workflow, can pre-validate cell thermal behavior, while SIMULIA enables in-depth 3D electrochemical performance analysis at cell level and thermal performance validation at module level.
• How combining modeling and simulation with AI Virtual Companions empowers engineering teams to accelerate design cycles, make more informed decisions, and drive battery innovation.