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A Battery State of Charge Estimation Method using Sliding Mode Observer
Zhang F(张飞); Liu GJ(刘光军); Fang LJ(房立金)
Department机器人学研究室
Conference Name7th World Congress on Intelligent Control and Automation
Conference DateJune 25-27, 2008
Conference PlaceChongqing, China
Author of SourceChongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn
Source Publication2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23
PublisherIEEE
Publication PlaceNEW YORK
2008
Pages989-994
Indexed ByEI ; CPCI(ISTP)
EI Accession number20083911599522
WOS IDWOS:000259965700185
Contribution Rank1
ISBN978-1-4244-2113-8
KeywordBattery State Of Charge Sliding Mode Observer State Estimation
AbstractIn this paper, a simplified battery model and a closed-loop estimation method of the State of Charge (SOC) are proposed. The simplified battery model consists only of two resistors and two capacitors, based on which a sliding mode observer is designed to compensate modeling errors when the SOC is estimated. The proposed method can overcome the drawbacks of the conventional SOC estimation methods, such as large cumulative errors. And it is simple and robust to modeling errors. The effectiveness of the proposed method is verified experimentally on a test bench and a power transmission line inspection robot. The experimental results show that the proposed method is effective and can estimate battery SOC.
Language英语
Citation statistics
Cited Times:37[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/8464
Collection机器人学研究室
Affiliation1.IEEE
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China
3.Department of Aerospace Engineering, Ryerson University, Toronto, ON, Canada
4.Graduate School of the Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Zhang F,Liu GJ,Fang LJ. A Battery State of Charge Estimation Method using Sliding Mode Observer[C]//Chongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn. NEW YORK:IEEE,2008:989-994.
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