The experiments of dual Kalman filter in lithium battery SOC estimation

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	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)
	2013
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
关键词	Algorithms Electrical engineering Estimation Experiments Kalman filters
页码	1509-1512
中文摘要	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.
收录类别	EI
产权排序	1
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
语种	英语
ISSN号	1660-9336
ISBN号	978-3-03835-003-3
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/14584]
专题	沈阳自动化研究所_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]. 见:2013 International Symposium on Vehicle, Mechanical, and Electrical Engineering, ISVMEE 2013. Taiwan, China. December 21-22, 2013.