A method of SOC estimation for power Li-ion batteries based on equivalent circuit model and extended Kalman filter

被引：0
|
作者：
Zhang, Siwen [1 ]
Sun, Hua [1 ]
Lyu, Chao [2 ]
机构：
[1] Shanghai Elect Grp Co Ltd, Cent Acad, Shanghai, Peoples R China
[2] Harbin Inst Technol, Sch Elect Engn & Automat, Harbin, Heilongjiang, Peoples R China
来源：
PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018) | 2018年
关键词：
Li-ion battery; equivalent circuit model; Extended kalman filter; SOC estimation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
With the rapid development of new energy industry, Li-ion batteries have been widely used around the world, especially in electric vehicles. In order to improve the performance of Li-ion batteries and ensure their safety, the battery management system (BMS) needs to obtain accurate state of charge (SOC) estimation. In this paper, a new method is proposed based on equivalent circuit model and extended Kalman filter (EKF). Firstly, the behavior of battery is analyzed based on equivalent circuit model. Then SOC is estimated by EKF algorithm. At last, the method is validated through experiment.
引用
收藏
页码：2683 / 2687
页数：5
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