动力磷酸铁锂电池性能分析及SOC估算研究  

Performance analysis of lithium iron phosphate power battery and SOC estimation research

作　　者：路桂娟[1] 刘婕[1] 

机构地区：[1]廊坊职业技术学院,河北廊坊065000

出　　处：《电源技术》2016年第8期1592-1593,共2页Chinese Journal of Power Sources

摘　　要：在介绍磷酸铁锂电池基本性能的基础上,对几种常用的SOC估算方法进行了对比分析,最终选择了采用BP-神经网络的方法对电池的SOC进行估算。同时,为了提高估算的精确性,对训练样本进行了优化处理。仿真实验证明,改进后的SOC算法具有估算准确率高,实时性好的优点。The lithium iron phosphate battery was introduced, and several common SOC estimation methods were compared. BP neural network method was chosen to estimate the SOC of the battery. At the same time, in order to improve the estimation precision, the optimization of the training sample was introduced. The simulation experiments show that the improved algorithm of SOC has high estimation accuracy and good real-time performance.

关 键 词：磷酸铁锂 动力电池 SOC估算 BP网络 

分 类 号：TM912[电气工程—电力电子与电力传动]