摘要
锂电池是近年来大量用于新能源汽车、智能电网等的储能元件,其荷电状态的准确估算是锂电池研究的关键技术之一。通过对锂电池进行脉冲电流实验,建立Thevenin等效电路模型并进行参数辨识。基于所建立的模型运用扩展卡尔曼滤波算法进行荷电状态估算,其结果表明在复杂工况下扩展卡尔曼滤波算法能修正荷电状态初始误差,且估算过程中最大误差低1.5%,全过程平均误差为0.36%,该方法能够准确估算荷电状态。
Lithium batteries are a large number of energy storage elements used in new energy vehicles and smart grids in recent years.Accurate estimation of their SOC(state of charge)is one of the key technologies for lithium battery research.Based on pulse current experiments on lithium batteries,the Thevenin equivalent circuit model was established and the parameters were identified.Based on the established model,an extended Kalman filter algorithm is used to estimate the SOC.The results show that the extended Kalman filter algorithm can correct the initial SOC under complex conditions,and the maximum error is less than 1.5%.The average process error is 0.36%.This method can accurately estimate the SOC.
作者
那红军
王顺利
李建超
NA Hong-jun;WANG Shun-li;LI Jian-chao(Mianyang Product Quality Supervision and Inspection Institute,Mianyang,Sichuan Province,621010,China;School of Information Engineering,Southwest University of Science and Technology,Mianyang,Sichuan Province,621010,China)
出处
《电池工业》
CAS
2019年第6期289-291,304,共4页
Chinese Battery Industry
基金
国家自然科学基金项目(61801407)
四川科技厅重点研发项目(2019YFG0427,2018GZ0390).
作者简介
那红军(1982-),男,四川人,本科,工程师,通信工程。Email:1648758971@qq.com;通讯作者:王顺利(1985-),男,河南人,博士,西南科技大学信息工程学院讲师,硕士生导师。
