Abstract Battery packs are extensively used in electrical vehicles (EV) to avoid environmental pollution. The safety, aging and life of battery pack are significantly related to its thermal behavior. This work concerns with thermal analysis and optimization of an EV battery pack for real engineering applications. The Bernardi's heat generation model with the consideration of reversible heat is used and validated by tests and numerical simulation on battery cells. Then the validated cell model is applied to an EV battery pack with cooling system underneath for the study of thermal behavior at two extreme operation conditions, and numerical results are in good agreement with the test results. Several key factors important to the thermal behavior of battery packs are studied by performing sensitivity analysis at these two operation conditions, and it is found that the inlet temperature and the inlet flow are the two most significant factors. For better thermal performance of the EV battery pack, optimization analysis at two extreme operation conditions is conducted to determine the optimal parameters for the inlet temperature and the inlet flow, and this optimization process provides a means to find out the best input parameters for real engineering problems.

中文翻译：

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用于实际应用的 EV 电池组的热分析和优化

摘要 电池组广泛用于电动汽车（EV）以避免环境污染。电池组的安全性、老化和寿命与其热行为密切相关。这项工作涉及用于实际工程应用的 EV 电池组的热分析和优化。考虑到可逆热的 Bernardi 的发热模型被使用并通过对电池单元的测试和数值模拟进行验证。然后将经过验证的电池模型应用于带有冷却系统的电动汽车电池组，以研究两种极端操作条件下的热行为，数值结果与测试结果非常吻合。通过在这两种操作条件下进行灵敏度分析，研究了对电池组热行为很重要的几个关键因素，发现入口温度和入口流量是两个最重要的因素。为了获得更好的EV电池组热性能，在两种极端工况下进行优化分析，确定入口温度和入口流量的最佳参数，该优化过程为实际工程寻找最佳输入参数提供了一种手段问题。