AI/ML and Thermal-Mechanical Optimization in Batteries

Project Scope

In partnership with the University of North Carolina at Charlotte, the Institute of Digital Engineering USA will pursue new research involving optimizing multifunctional battery systems.

Next-generation battery technologies, used in electric vehicles (EVs), are lacking efficient composition structure creating a disadvantage for EVs compared to their hydrocarbon counterparts. Current Lithium-Ion batteries are safety hazards as they are fragile and heat sensitive when faced with loading conditions. This research will use multiphysics and topology optimization with Generative Adversarial Networks (GANs) as a tool to design a battery structure that can withstand loading conditions such as vibrations, shocks, and impacts. Increased battery durability is in high demand for manufacturers globally and with the successful development of a GAN based topology optimization model, there is potential to significantly improve topology optimization for dynamic loading conditions to create these more durable batteries. 


Partners

Institute of Digital Engineering USA

University of North Carolina at Charlotte