Battery State Estimation Using Unscented Kalman Filter

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	Battery State Estimation Using Unscented Kalman Filter
	Zhang F(张飞); Liu GJ(刘光军); Fang LJ(房立金)
	2009
会议名称	IEEE International Conference on Robotics and Automation
会议日期	May 12-17, 2009
会议地点	Kobe, JAPAN
页码	3574-3579
通讯作者	张飞
中文摘要	Online evaluation of battery State of Function (SOF) is crucial for battery management systems of autonomous mobile robots. Battery State of Charge (SOC) represents its remaining energy available, whereas internal resistance and capacity reflect its State of Health (SOH). In this paper, an improved equivalent circuit model is proposed to estimate SOC, internal resistance and capacity using an Unscented Kalman Filter (UKF). The proposed method not only estimates SOC, but also evaluates SOH and SOF. Experimental results have shown the effectiveness of the proposed method using resistive loads and a robot prototype for inspecting power transmission line.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议主办者	IEEE
会议录	ICRA: 2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-7
会议录出版者	IEEE
会议录出版地	NEW YORK
语种	英语
ISSN号	1050-4729
ISBN号	978-1-4244-2788-8
WOS记录号	WOS:000276080401261
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/8594]
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	Zhang F,Liu GJ,Fang LJ. Battery State Estimation Using Unscented Kalman Filter[C]. 见:IEEE International Conference on Robotics and Automation. Kobe, JAPAN. May 12-17, 2009.