State-of-Charge Estimation for Lithium-Ion Batteries Based on a Nonlinear Fractional Model

被引：121

作者：

Wang, Baojin ^{[1
]}

Liu, Zhiyuan ^{[1
]}

Li, Shengbo Eben ^{[2
]}

Moura, Scott Jason ^{[3
]}

Peng, Huei ^{[4
]}

机构：

[1] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150001, Peoples R China

[2] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 150001, Peoples R China

[3] Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA

[4] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA

来源：

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2017年 / 25卷 / 01期

基金：

美国国家科学基金会;

关键词：

Incommensurate fractional system; linear matrix inequality (LMI); lithium-ion battery (LIB); Lyapunov stability; state-of-charge (SOC); DIFFERENTIAL-EQUATIONS; IMPEDANCE MODEL; ORDER; SYSTEMS; IDENTIFICATION; OBSERVER; PARAMETER; TIME;

D O I：

10.1109/TCST.2016.2557221

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 a new battery state-of-charge (SOC) estimation method for lithium-ion batteries (LIBs) based on a nonlinear fractional model with incommensurate differentiation orders. A continuous frequency distributed model is used to describe the incommensurate fractional system. A Luenberger-type observer is designed for battery SOCestimation. The observer gain that can stabilize the zero equilibrium of the estimation error system is derived by Lyapunov's direct method. The proposed SOC observer is examined using the real-time experimental data of LIBs. The robustness of the observer under different test conditions, including different aging levels, different driving cycles, and different cells, is also presented. © 2016 IEEE.

引用

页码：3 / 11

页数：9

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