Open AccessState‐of‐charge estimation of the lithium‐ion battery system with time‐varying parameter for hybrid electric vehicles
Author(s) -
Zhang Yun,
Zhang Chenghui,
Zhang Xianfu
Publication year - 2014
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2013.0082
Subject(s) - control theory (sociology) , state of charge , battery (electricity) , dynamometer , schedule , computer science , lithium ion battery , bounded function , engineering , mathematics , automotive engineering , physics , control (management) , power (physics) , quantum mechanics , artificial intelligence , operating system , mathematical analysis
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 ℒ 2 ‐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.