Adaptive gain sliding mode observer for state of charge estimation based on combined battery equivalent circuit model in electric vehicles

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 co...

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Bibliographic Details
Published in2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA) pp. 601 - 606
Main Authors Xiaopeng Chen, Weixiang Shen, Zhenwei Cao, Kapoor, Ajay, Hijazin, Ismat
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
adaptive gain
Batteries
battery management system
combined battery equivalent circuit model
Discharges (electric)
electric vehicle
Estimation
Integrated circuit modeling
lithium-polymer battery
Mathematical model
sliding mode observer
state of charge
Switches
System-on-chip
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Summary: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.
ISBN:9781467363204
1467363200
ISSN:2156-2318
2158-2297
DOI:10.1109/ICIEA.2013.6566439