SOC estimation of Lithium-ion battery based on Kalman filter algorithm

摘要：

　　This paper presents Extended Kalman-filter (EKF) algorithm which is based on a first-order Lithium-ion batteries model.Curve fitting According to the OCV(open circuit volt-age)、SOC(state of charge) parameters measured in experiments,descript status equation and observation equation of Lithium-ion battery in detail,so that it can accurately demonstrates the characteristics of the Lithium-ion battery.Simulation and experiment results show the feasibility and effectiveness of the algorithm.

关键词： Kalman filter Lithium-ion battery SOC

作者: Yu Ding-xuan Gao Yan-xia

作者单位: School of Mechatronic Engineering and Automation Shanghai University Shanghai 200072,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2317-2320

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）