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题名: The experiments of dual Kalman filter in lithium battery SOC estimation
作者: Wang YG(王云甘) ; Wang YN(王英男) ; Wang ZF(王忠锋) ; Han FL(韩峰利) ; Li LG(李力刚) ; Wang XT(王笑天)
作者部门: 工业控制网络与系统研究室
会议名称: 2013 International Symposium on Vehicle, Mechanical, and Electrical Engineering, ISVMEE 2013
会议日期: December 21-22, 2013
会议地点: Taiwan, China
会议主办者: Chung Hua University; Harbin University of Science and Technology; Northwest Forestry University; Harbin Engineering University
会议录: Applied Mechanics and Materials
会议录出版者: Trans Tech Publications
会议录出版地: Zurich-Durnten, Switzerland
出版日期: 2013
页码: 1509-1512
收录类别: EI
ISSN号: 1660-9336
ISBN号: 9783038350033
关键词: Algorithms ; Electrical engineering ; Estimation ; Experiments ; Kalman filters
摘要: For dual Kalman filter SOC estimation algorithm, this paper designs experiment based on lithium battery Thevenin model according to different conditions. Verification experiment is divided into three stages, namely to verify the constant current charge or discharge, continuous change, mutation of short-term conditions, and do a detailed analysis. Results show that the algorithm can estimate battery SOC with high accuracy online, can solve the problem of accumulated error and allowed initial SOC effectively. The model can react the true state of the inside battery better by calibrating Thevenin model using dual Kalman filter algorithm. Finally, the experiments verified the DEKF algorithm's convergence speed and good robustness.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/14584
Appears in Collections:工业控制网络与系统研究室_会议论文

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Recommended Citation:
王云甘; 王英男; 王忠锋; 韩峰利; 李力刚; 王笑天.The experiments of dual Kalman filter in lithium battery SOC estimation.见:Trans Tech Publications.Applied Mechanics and Materials,Zurich-Durnten, Switzerland,2013,1509-1512
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