电动汽车用动力电池SOC估算方法概述

Review of SOC Estimation Methods of Power Battery for EV

准确估算电池的荷电状态(SOC)可以防止电池过充、放电,从而充分发挥电池的工作性能,有效延长电池的使用寿命。针对电动汽车用动力电池,首先对国内外有关SOC估算方法进行了分类,将其划分为安时积分法、开路电压法、神经网络、卡尔曼滤波等,并分析了各种方法的优缺点及改进算法。最后总结并展望了SOC估算方法的发展趋势,针对性地提出了改进思路,为开展精度高、实用性强的SOC估算方法研究提供借鉴。

In order to avoid the overcharging or overdischarging, the SOC of battery should be estimated accurately, which can take full advantage of battery and effectively extend its life. According to the battery for EVs, the SOC estimation methods used at home and abroad are classified as coulomb counting, open-circuit voltage, neural network, Kallman filtering and so on. The merits and demerits of various methods and their improvements are also analyzed. The development trend of SOC estimation methods is summarized and prospected. Some improvement ideas are presented to give reference to the research on SOC estimation methods of high accuracy and strong practicability.