Fractional-order modeling and parameter identification for lithium-ion batteries

被引：186

作者：

Wang, Baojin ^{[1
,2
]}

Li, Shengbo Eben ^{[2
,3
]}

Peng, Huei ^{[2
]}

Liu, Zhiyuan ^{[1
]}

机构：

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

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

[3] Tsinghua Univ, Dept Automot Engn, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China

来源：

JOURNAL OF POWER SOURCES | 2015年 / 293卷

关键词：

Lithium-ion batteries; Fractional-order model; Differentiation order identification; Electrochemical impedance spectroscopy; Hybrid multi-swarm particle swarm optimization; ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY; EQUIVALENT-CIRCUIT MODELS; SINGLE-PARTICLE MODEL; CHARGE; DISCHARGE; TIME; MANAGEMENT; EXTENSION; STATE;

D O I：

10.1016/j.jpowsour.2015.05.059

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：

This paper presents a fractional-order model (FOM) for lithium-ion batteries and its parameter identification using time-domain test data. The FOM is derived from a modified Randles model and takes the form of an equivalent circuit model with free non-integer differentiation orders. The coefficients and differentiation orders of the FOM are identified by hybrid multi-swarm particle swarm optimization. The influence of approximation degree on model accuracy is discussed. Battery datasets under a range of conditions are used to analyze model performance. The accuracy and robustness of the FOM are benchmarked against the commonly used first-order RC equivalent circuit model. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：151 / 161

页数：11

共 40 条

[1] On a numerical scheme for solving differential equations of fractional order [J].