A comparative study of equivalent circuit models for Li-ion batteries

被引:1568
作者
Hu, Xiaosong [1 ,2 ]
Li, Shengbo
Peng, Huei
机构
[1] Univ Michigan, G041 Auto Lab, Dept Mech Engn, Ann Arbor, MI 48109 USA
[2] Beijing Inst Technol, Dept Mech Engn, Beijing 100081, Peoples R China
关键词
Equivalent circuit battery models; Battery management systems; Li-ion battery; Particle swarm optimization; NICKEL METAL HYDRIDE; MANAGEMENT-SYSTEMS; PART; STATE; PACKS; ALGORITHM;
D O I
10.1016/j.jpowsour.2011.10.013
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070305 [高分子化学与物理];
摘要
This paper presents a comparative study of twelve equivalent circuit models for Li-ion batteries. These twelve models were selected from state-of-the-art lumped models reported in the literature. The test data used is obtained from a battery test system with a climate chamber. The test schedule is designed to measure key cell attributes under highly dynamical excitations. The datasets were collected from two types of Li-ion cells under three different temperatures. The multi-swarm particle swarm optimization algorithm is used to identify the optimal model parameters for the two types of Li-ion cells. The usefulness of these models is then studied through a comprehensive evaluation by examining model complexity, model accuracy, and robustness of the model by applying the model to datasets obtained from other cells of the same chemistry type. (C) 2011 Elsevier BM. All rights reserved.
引用
收藏
页码:359 / 367
页数:9
相关论文
共 26 条
[1]
Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. II: Modelling [J].
Andre, D. ;
Meiler, M. ;
Steiner, K. ;
Walz, H. ;
Soczka-Guth, T. ;
Sauer, D. U. .
JOURNAL OF POWER SOURCES, 2011, 196 (12) :5349-5356
[2]
Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electric vehicles [J].
Chiang, Yi-Hsien ;
Sean, Wu-Yang ;
Ke, Jia-Cheng .
JOURNAL OF POWER SOURCES, 2011, 196 (08) :3921-3932
[3]
Particle swarm optimization: Basic concepts, variants and applications in power systems [J].
del Valle, Yamille ;
Venayagamoorthy, Ganesh Kumar ;
Mohagheghi, Salman ;
Hernandez, Jean-Carlos ;
Harley, Ronald G. .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2008, 12 (02) :171-195
[4]
Development of a universal modeling tool for rechargeable lithium batteries [J].
Dubarry, Matthieu ;
Liaw, Bor Yann .
JOURNAL OF POWER SOURCES, 2007, 174 (02) :856-860
[5]
From single cell model to battery pack simulation for Li-ion batteries [J].
Dubarry, Matthieu ;
Vuillaume, Nicolas ;
Liaw, Bor Yann .
JOURNAL OF POWER SOURCES, 2009, 186 (02) :500-507
[6]
State-of-charge estimation of lead-acid batteries using an adaptive extended Kalman filter [J].
Han, Jaehyun ;
Kim, Dongchul ;
Sunwoo, Myoungho .
JOURNAL OF POWER SOURCES, 2009, 188 (02) :606-612
[7]
Linear parameter varying battery model identification using subspace methods [J].
Hu, Y. ;
Yurkovich, S. .
JOURNAL OF POWER SOURCES, 2011, 196 (05) :2913-2923
[8]
Electro-thermal battery model identification for automotive applications [J].
Hu, Y. ;
Yurkovich, S. ;
Guezennec, Y. ;
Yurkovich, B. J. .
JOURNAL OF POWER SOURCES, 2011, 196 (01) :449-457
[9]
A technique for dynamic battery model identification in automotive applications using linear parameter varying structures [J].
Hu, Y. ;
Yurkovich, S. ;
Guezennec, Y. ;
Yurkovich, B. J. .
CONTROL ENGINEERING PRACTICE, 2009, 17 (10) :1190-1201
[10]
The novel state of charge estimation method for lithium battery using sliding mode observer [J].
Kim, Il-Song .
JOURNAL OF POWER SOURCES, 2006, 163 (01) :584-590