State of Charge and parameters estimation for Lithium-ion battery using Dual Adaptive Unscented Kalman Filter

被引：0
|
作者：
Guo, Hongzhen [1 ]
Wang, Zhonghua [1 ]
Li, Yueyang [1 ]
Wang, Dongxue [1 ]
Wang, Guangying [1 ]
机构：
[1] Univ Jinan, Sch Elect Engn, Jinan 250022, Shandong, Peoples R China
来源：
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年
关键词：
Dual Adaptive Unscented Kalman Filter; State of Charge; Parameters; Estimation; Accuracy; OF-CHARGE; MODEL; PACK; ENERGY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a novel method to estimate SOC of the vehicles and parameters of the equivalent model based on the dual adaptive unscented Kalman filter(DAUKF) is proposed. The UKF is used to estimate parameters of the battery model while another AUKF is used to estimate SOC of the battery through the real-time measurement data. The proposed approach is verified by simulation and experiments operated on the battery, the result shows that the proposed method can improve the accuracy as well as it has better robustness.
引用
收藏
页码：4962 / 4966
页数：5
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