锂电池SOC的估算方法  

Estimation Method of Lithium Battery SOC

作　　者：汤文科 于晨斯[1] 严匡林 Tang Wenke;Yu Chensi;Yan Kuanglin

机构地区：[1]九江职业技术学院汽车工程学院,江西省九江市332007

出　　处：《时代汽车》2023年第15期96-98,共3页Auto Time

基　　金：教育厅科技课题(GJJ204007)。

摘　　要：新能源汽车的锂电池组受到老化、容量、极化、温度等众多影响,使锂电池组SOC的估算准确性和精度不高。文章介绍了安时积分法、开路电压法、内阻法、放电实验法、神经网络法、卡尔曼滤波法的计算原理,分析了各种估算方法的优势和劣势,指出了各种估算方法适用的条件。结果表明,单一的方法估算SOC都存在优点和缺点,多种估算方法相结合能提高SOC的准确性和精确度,神经网络法、卡尔曼滤波法有比较好的发展潜力。The lithium battery pack of new energy vehicles is affected by aging,capacity,polarization,temperature,etc.,which makes the estimation accuracy and precision of the SOC of lithium battery pack low.This paper introduces the calculation principles of ampere hour integral method,open circuit voltage method,internal resistance method,discharge experiment method,neural network method and Kalman filter method,analyzes the advantages and disadvantages of various estimation methods,and points out the applicable conditions of various estimation methods.The results show that a single method for estimating SOC has advantages and disadvantages.The combination of multiple estimation methods can improve the accuracy and precision of SOC.The neural network method and Kalman filter method have good development potential.

关 键 词：锂电池 SOC 估算 卡尔曼滤波法 

分 类 号：TM9[电气工程—电力电子与电力传动]