| 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)
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| Department | 机器人学研究室 |
| Conference Name | 7th World Congress on Intelligent Control and Automation |
| Conference Date | June 25-27, 2008 |
| Conference Place | Chongqing, China |
| Author of Source | 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 |
| Source Publication | 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 |
| Publisher | IEEE |
| Publication Place | NEW YORK |
| 2008 | |
| Pages | 989-994 |
| Indexed By | EI ; CPCI（ISTP） |
| EI Accession number | 20083911599522 |
| WOS ID | WOS:000259965700185 |
| Contribution Rank | 1 |
| ISBN | 978-1-4244-2113-8 |
| Keyword | Battery State Of Charge Sliding Mode Observer State Estimation |
| Abstract | 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. |
| Language | 英语 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.sia.cn/handle/173321/8464 |
| Collection | 机器人学研究室 |
| Affiliation | 1.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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| File Name/Size | DocType | Version | Access | License | ||
| HYQW000010.pdf（215KB） | 开放获取 | CC BY-NC-SA | View Application Full Text | |||
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