Project Scope

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

Scientists are already working on next-generation battery technologies but it is not enough to make electric vehicles competitive with their hydrocarbon counterparts. The temperature sensitive nature of Lithium Ion batteries creates safety hazards and the cooling systems are not efficient. This research proposes that a new modeling methodology is required to predict future failures in the battery structure.

Additionally, the application of batteries with longer-range, fast-charging, durable, and wide working temperatures have become the top desire for various manufactures covering the majority of the mechanical system (e.g., cellphones, energy storage systems, automobiles, etc.) powered by lithium-ion batteries. This project will develop a method to optimize material layout to design more weight-efficient and synergistic structures.

Topology optimization is an essential tool for designing structures than can withstand vibrations, shocks, and impacts. The structure’s response to these impacts is influenced by their shape, size, and material properties. This project uses Generative Adversarial Networks (GANS), a machine learning model, to optimize these factors and improve performance and durability of structures.