中文摘要：

搭建了混合动力汽车动力电池的性能实验平台，针对车辆实际行驶工况，在不同环境温度下对动力电池进行了相关充放电实验。利用实验系统采集到的动力电池电压与电流，采用自校正模糊神经网络控制算法时常温25°C下的动力电池荷电状态（tate of Charge，S（）C）进行计算，并与Arbin动力电池测试设备计算出的动力电池荷电状态进行了比较。理论分析和实验结果表明，采用自校正模糊神经网络控制算法计算出的电池S（）C满足混合动力汽车电池SOC所需的精度要求。

英文摘要：

A performance test bench for power batteries in hybrid electric vehicles is built. According to vehicles＇ real driving condition, the correlative charge and discharge experiments of power batteries are carried out in different environmental temperatures. A new algorithm about self correction fuzzy neural network control is used to calculate the state of charge（SOC）of power batteries at 25 °C, and the result is compared with that of Arbin test instrumentation. Theoretical analysis and experimental results suggest that the accuracy of SOC calculated by the algorithm of correction fuzzy neural network control under variable rate discharge for power batteries meets the requirements.