A Reduced-Order Model for Battery Thermal Management with Varying Flow Rates

作者：Jayandran Rao, Shawn Zhang, MA Shi-hu, Xiao Hu, Guijie Chen · 年份：2025 · DOI：10.1109/ecce58356.2025.11259588 · 被引用次数：1 · 研究领域：Advanced Battery Technologies Research、Fuel Cells and Related Materials、Thermal Expansion and Ionic Conductivity

This study presents a novel Reduced-Order Model (ROM) that integrates Linear Time-Invariant (LTI) and non-LTI models to enhance the efficiency of battery thermal management simulations. The complete battery thermal system is decomposed into an LTI subsystem for solid components and a non-LTI subsystem for the coolant channel. The proposed ROM couples the two subsystems through the exchange of temperature and heat flow rate at the fluid-solid interface (FSI). This approach enables accurate predictions of transient thermal behavior while maintaining computational efficiency, even with varying coolant flow rates. The model is validated against high-fidelity computational fluid dynamics (CFD) models using two test cases. The good agreement with CFD, with less than 5% error in both cases demonstrates the model's capability to be used in battery transient thermal management simulation with varying flow rates.