Application of unscented Kalman filter in the SOC estimation of Li-ion battery for Autonomous Mobile Robot
文献类型：会议论文
| 作者 | Shi P(石璞); Zhao YW(赵忆文)
|
| 出版日期 | 2006 |
| 会议名称 | IEEE International Conference on Information Acquisition |
| 会议日期 | August 20-23, 2006 |
| 会议地点 | Weihai, China |
| 关键词 | UKF Li-ion battery SOC EKF AMR |
| 页码 | 1279-1283 |
| 中文摘要 | When the Autonomous Mobile Robot(AMR) is popular in unknown environment, accurate estimation of SOC(State of Charge) is becoming one of the primary challenges in Autonomous Mobile Robots research. However, as defects of the Extended Kalman Filter(EKF) in nonlinear estimation, there exists estimated error. which affects the estimation accuracy, when it is adopted in nonlinear estimation of a battery system. In order to vield the higher accuracy of SOC estimation, a novel method-Unscented Kalman Filter (UKF) was employed in SOC estimation for a battery system. The EKF and UKF are compared through experiments. Experimental results show that the UKF is superior to the EKF in battery SOC estimation for AMR. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | IEEE Robot & Automat Soc, CAS, Inst Intelligent Machines, Chinese Univ Hong Kong, Int Assoc Informat Acquisit, Int Journal Informat Acquisit |
| 会议录 | 2006 IEEE International Conference on Information Acquisition, Vols 1 and 2, Conference Proceedings
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | NEW YORK |
| 语种 | 英语 |
| ISBN号 | 1-4244-0528-9 |
| WOS记录号 | WOS:000242935800239 |
| 源URL | [http://ir.sia.cn/handle/173321/8586]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Shi P,Zhao YW. Application of unscented Kalman filter in the SOC estimation of Li-ion battery for Autonomous Mobile Robot[C]. 见:IEEE International Conference on Information Acquisition. Weihai, China. August 20-23, 2006. |
入库方式： OAI收割
来源：沈阳自动化研究所
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