摘要
锂离子动力电池系统的故障原因大多与单体电池的异常有关。针对故障电池组的实际运行数据,构建了电压和温度特征参数,分析其随运行时间的变化情况,通过阈值方法对异常电池进行判断。提取电池组在充电过程中单体电池的电压数据,利用充电电压曲线距离分析和局部离群因子(LOF)检测方法诊断不一致单体,结果表明两种方法的诊断结果一致。最后对异常电池的故障模式进行了识别。
The fault reason of lithium-ion power battery system is mostly related to the abnormality of cell battery.According to the actual operation data of the faulty battery pack,the voltage and temperature characteristic parameters were constructed,and their changes with the operation time were analyzed.The abnormal battery was judged by the threshold method.The voltage data of cell battery in the process of battery pack charging was extracted,and the inconsistent cell was diagnosed by using charging voltage curve distance analysis and local outlier factor(LOF)detection method.The results show that the diagnosis results of the two methods are consistent.Finally,the fault mode of abnormal battery is identified.
作者
肖健夫
孙瑞
闵婕
黄娟
马洋洋
XIAO Jianfu;SUN Rui;MIN Jie;HUANG Juan;MAYangyang(Sunwoda Energy Solution Co.,Ltd.,Shenzhen Guangdong 518132,China;National Active Distribution Network Technology Research Center,Beijing Jiaotong University,Beijing 100044,China)
出处
《电源技术》
CAS
北大核心
2021年第6期736-739,790,共5页
Chinese Journal of Power Sources
基金
国家重点研发计划资助项目(2018YFB0905300)。
关键词
锂离子电池
动力电池组
特征参数
离群点检测
故障诊断
lithium-ion battery
power battery pack
characteristic parameter
outlier detection
fault diagnosis
