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 construction 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 supporting multiple layouts and coolant types, allowing rapid evaluation of thermal management strategies under 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 and more reliable battery systems for real-world applications.

AN Open Source Design Exploration Tool For Battery And Coolant Configuration / Tosoni, Francesco; Chen, Yukai; Poncino, Massimo; Fummi, Franco; Vinco, Sara. - ELETTRONICO. - (2026). ( Design, Automation and Test in Europe Conference Verona, Italy ).

AN Open Source Design Exploration Tool For Battery And Coolant Configuration

Yukai Chen;Massimo Poncino;Franco Fummi;Sara Vinco
2026

Abstract

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 construction 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 supporting multiple layouts and coolant types, allowing rapid evaluation of thermal management strategies under 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 and more reliable battery systems for real-world applications.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3011154
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