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题名: A Battery State of Charge Estimation Method using Sliding Mode Observer
作者: Zhang F(张飞) ; Liu GJ(刘光军) ; Fang LJ(房立金)
作者部门: 机器人学研究室
会议名称: 7th World Congress on Intelligent Control and Automation
会议日期: June 25-27, 2008
会议地点: Chongqing, China
会议主办者: 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
会议录: 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2008
页码: 989-994
收录类别: CPCI(ISTP) ; EI
ISBN号: 978-1-4244-2113-8
关键词: Battery ; state of charge ; sliding mode observer ; state estimation
摘要: In 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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8464
Appears in Collections:机器人学研究室_会议论文

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