Lyapunov-Based Adaptive State of Charge and State of Health Estimation for Lithium-Ion Batteries

被引：145

作者：

Chaoui, Hicham ^{[1
]}

Golbon, Navid ^{[2
]}

Hmouz, Imad ^{[3
]}

Souissi, Ridha ^{[3
]}

Tahar, Sofiene ^{[4
]}

机构：

[1] Tennessee Technol Univ, Dept Elect & Comp Engn, Ctr Mfg Res, Cookeville, TN 38505 USA

[2] Bombardier Transportat, Kingston, ON K7K 2H6, Canada

[3] TDE Techno Design, Dollard Des Ormeaux, PQ H9B 2J5, Canada

[4] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2015年 / 62卷 / 03期

关键词：

Adaptive observer; lithium-ion batteries; Lyapunov stability; state of charge (SOC); state of health (SOH); MANAGEMENT-SYSTEM;

D O I：

10.1109/TIE.2014.2341576

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an adaptive state of charge (SOC) and state of health (SOH) estimation technique for lithium-ion batteries. The adaptive strategy estimates online parameters of the battery model using a Lyapunov-based adaptation law. Therefore, the adaptive observer stability is guaranteed by Lyapunov's direct method. Since no a priori knowledge of battery parameters is required, accurate estimation is still achieved, although parameters change due to aging or other factors. Unlike other estimation strategies, only battery terminal voltage and current measurements are required. Simulation and experimental results highlight the high SOC and SOH accuracy estimation of the proposed technique.

引用

页码：1610 / 1618

页数：9

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