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The experiments of dual Kalman filter in lithium battery SOC estimation
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
会议录名称Applied Mechanics and Materials
出版者Trans Tech Publications
出版地Zurich-Durnten, Switzerland
2013
页码1509-1512
收录类别EI
EI收录号20141017421915
产权排序1
ISSN号1660-9336
ISBN号978-3-03835-003-3
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
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/14584
专题工业控制网络与系统研究室
推荐引用方式
GB/T 7714
Wang YG,Wang YN,Wang ZF,et al. The experiments of dual Kalman filter in lithium battery SOC estimation[C]//Chung Hua University; Harbin University of Science and Technology; Northwest Forestry University; Harbin Engineering University. Zurich-Durnten, Switzerland:Trans Tech Publications,2013:1509-1512.
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