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Performance of different Electric vehicle Battery packs at low temperature and Analysis of Intelligent SOC experiment

机译:不同电动车电池组在低温下的性能及智能SOC实验分析

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This manuscript summarizes the SOC (State of charge) estimation methods of electric vehicle battery packs at low temperature, analyzes the performance of common battery packs of electric vehicle and the influence of low temperature, introduces the traditional SOC estimation method and the emerging cryogenic intelligent lifting algorithms, and summarizes their advantages and disadvantages. Combined with intelligent algorithm and battery model, the development of SOC estimation of battery packs at low temperature is prospected.
机译:该手稿总结了电动车电池组在低温下的SOC(充电状态)估计方法,分析了普通电池电动车组的性能和低温影响,介绍了传统的SOC估计方法和新兴低温智能提升 算法,总结了他们的优缺点。 结合智能算法和电池模型,展望低温电池组SOC估计的开发。

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