Accelerating Battery Pack Design via Modular Electro-Thermal Simulation Frameworks

Ensuring both electrical performance and effective thermal management in large-scale battery packs is a critical challenge for next-generation electric mobility and energy storage systems. Current modeling approaches often rely on rigid configurations or computationally expensive CFD simulations, limiting their use in early design stages. This work introduces a modular, compositional framework that enables the dynamic configuration of battery packs of arbitrary size, where each cell is modeled individually with coupled electrical and thermal dynamics. The framework integrates a configurable liquid cooling system that supports multiple layouts and coolant types, enabling rapid evaluation of thermal management strategies across diverse operating conditions. By combining scalability, flexibility, and high computational efficiency, the proposed approach accelerates design iterations, reduces prototyping costs, and supports the development of safer, more reliable battery systems for real-world applications.