DocumentCode :
623242
Title :
Adaptive gain sliding mode observer for state of charge estimation based on combined battery equivalent circuit model in electric vehicles
Author :
Xiaopeng Chen ; Weixiang Shen ; Zhenwei Cao ; Kapoor, Ajay ; Hijazin, I.
Author_Institution :
Fac. of Eng. & Ind. Sci., Swinburne Univ. of Technol., Hawthorn, VIC, Australia
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
601
Lastpage :
606
Abstract :
An adaptive gain sliding mode observer (AGSMO) for battery state of charge (SOC) estimation based on a combined battery equivalent circuit model (CBECM) is presented. The errors convergences of the AGSMO for the SOC estimation are proved by Lyapunov stability theory. The AGSMO has a capability of compensating modeling errors caused by the parameters variation of the CBECM and minimizing chattering level in SOC estimation. The lithium-polymer battery (LiPB) is used to conduct experiments for extracting the parameters of the CBECM and verifying the effectiveness of the proposed AGSMO for the SOC estimation.
Keywords :
Lyapunov methods; adaptive control; battery powered vehicles; equivalent circuits; lithium; observers; polymers; secondary cells; stability; variable structure systems; AGSMO; Li; LiPB; Lyapunov stability theory; SOC estimation; adaptive gain sliding mode observer; battery state of charge estimation; combined battery equivalent circuit model; electric vehicles; lithium-polymer battery; modeling error compensation; Batteries; Discharges (electric); Estimation; Integrated circuit modeling; Mathematical model; Switches; System-on-chip; adaptive gain; battery management system; combined battery equivalent circuit model; electric vehicle; lithium-polymer battery; sliding mode observer; state of charge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
Type :
conf
DOI :
10.1109/ICIEA.2013.6566439
Filename :
6566439
Link To Document :
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