Combined RLS-EKF Method for Simultaneous SOC and Parameter Estimations for Lithium-Ion Batteries

被引：4

作者：

Oya, M. ^{[1
]}

Sueki, W. ^{[2
]}

Hayakawa, Y. ^{[3
]}

Takaba, K. ^{[4
]}

Fukui, M. ^{[4
]}

机构：

[1] GS Yuasa Corp, Osaka, Japan

[2] Osaka Univ, Grad Sch Engn, Osaka, Japan

[3] Ritsumeikan Univ, Grad Sch Sci & Engn, Kyoto, Japan

[4] Ritsumeikan Univ, Coll Sci & Engn, Kyoto, Japan

来源：

SELECTED PROCEEDINGS FROM THE 232ND ECS MEETING | 2017年 / 80卷 / 10期

关键词：

MODEL PARAMETERS; CHARGE; STATE;

D O I：

10.1149/08010.0207ecst

中图分类号：

O646 [电化学、电解、磁化学];

学科分类号：

081704 ;

摘要：

This paper is concerned with the State-Of-Charge (SOC) estimation for lithium-ion batteries based an equivalent circuit model. A method for simultaneous estimation of the SOC and circuit parameters is presented by combining the extended Kalman filter (EKF) and the recursive least squares (RLS) estimation methods. The estimation accuracy of the present method is assessed through a discharge experiment of a LiFePO4 battery. In particular, the AC impedance analysis using the Cole-Cole plots shows that the parameter estimates obtained by the RLS part well describe the behavior of the battery in the operating frequency range. This supports the effectiveness of the present method.

引用

页码：207 / 217

页数：11

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