Online Monitoring of Lithium-ion Battery Aging Effects by Internal Resistance Estimation in Electric Vehicles

摘要：

In electric and hybrid vehicles, driving performance is strongly influenced by the battery aging effects. For most lithium-ion batteries, the power capability fade caused by battery impedance rise is the main reason for battery end-of-life. In this paper, an online diagnosing method of internal resistance is presented based on equivalent circuit impedance model. Under a special diagnosing signal, voltage response is recorded and the impedance model is parameterized with the help of recursive least square (RLS) algorithm. The values of impedance model are then used for the estimation of power capability and detection of battery end-of-life. The performance of the internal resistance monitoring method is proved in Matlab/Simulink, which shows little error in estimation of battery power capability.

关键词： Lithium-ion battery aging effects online resistance identification RLS algorithm battery power capability

作者: Guangming LIU Minggao OUYANG Languang LU Liangfei XU Jianqiu LI

作者单位: State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, PR China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 6851-6855

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）