DocumentCode
1756120
Title
State-of-charge estimation of the lithium-ion battery system with time-varying parameter for hybrid electric vehicles
Author
Yun Zhang ; Chenghui Zhang ; Xianfu Zhang
Author_Institution
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
Volume
8
Issue
3
fYear
2014
fDate
Feb. 13 2014
Firstpage
160
Lastpage
167
Abstract
This study addresses the state-of-charge (SOC) estimation problem for a lithium-ion battery system with time-varying parameter. Although many methods have been proposed for the SOC estimation, the time-varying parameter problem has not been solved perfectly up to now. In this study, by introducing a novel physical meaning for that the battery terminal current is ℒ2-norm bounded and solving one linear matrix inequality, a robust H∞ filter is proposed for the first time to estimate the SOC of the lithium-ion battery of hybrid electric vehicles. The proposed method is evaluated by the sequence of urban dynamometer driving schedule test. The experimental results show that the filter proposed here is more accurate and reliable than that without considering the time-varying parameter.
Keywords
H∞ filters; battery powered vehicles; hybrid electric vehicles; linear matrix inequalities; lithium; parameter estimation; secondary cells; ℒ2-norm; Li; SOC estimation problem; battery terminal current; hybrid electric vehicles; linear matrix inequality; lithium-ion battery system; robust H∞ filter; state-of-charge estimation; time-varying parameter problem; urban dynamometer driving schedule test;
fLanguage
English
Journal_Title
Control Theory & Applications, IET
Publisher
iet
ISSN
1751-8644
Type
jour
DOI
10.1049/iet-cta.2013.0082
Filename
6732183
Link To Document