Online estimation of the state of charge of a lithium ion cell

被引：241

作者：

Santhanagopalan, Shriram ^{[1
]}

White, Ralph E. ^{[1
]}

机构：

[1] Univ S Carolina, Ctr Electrochem Engn, Dept Chem Engn, Columbia, SC 29208 USA

来源：

JOURNAL OF POWER SOURCES | 2006年 / 161卷 / 02期

关键词：

state of charge; lithium ion battery; online; extended Kalman filter; parameter estimation;

D O I：

10.1016/j.jpowsour.2006.04.146

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

A procedure to predict the state of charge of a lithium ion cell using experimental data (cell potential versus time), as it becomes available, is presented. The procedure is based on the physics of the system and provides a realistic estimate of the state of charge of the cell as a function of time, for a given set of properties of the electrodes. An electrochemical cell model is used to obtain an extended Kalman filter (EKF) for estimating the state of charge (SOC) of a lithium ion cell in which the negative electrode is the limiting electrode. The method could also be used for a cell in which the positive electrode is limiting. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：1346 / 1355

页数：10

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