中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Battery Management System for Electric Vehicle and the Study of SOC Estimation

文献类型:会议论文

作者Yuan XQ(袁学庆); Zhao L(赵林); Li B(李博); Liu, Naiming
出版日期2015
会议名称AASRI International Conference on Industrial Electronics and Applications (IEA)
会议日期JUN 27-28, 2015
会议地点London, ENGLAND
关键词BMS charge equalization SOC Estimation
页码152-156
中文摘要The SOC (state of charge) of the Li-ion battery cells in a pack are different because of the property differences, which would lead to over-charging/over-discharging the battery pack and as a result the service life of the battery pack would be reduced. In this article, we designed a battery management system (BMS) for low voltage electric vehicle. The BMS adopted resistance shunt method to avoid over-charging the battery cells. Extended Kalman filter (EKF) was utilized for high precision estimation of SOC, which is very important for remaining the cells working within appropriate SOC and avoiding over-discharging the cells. Experiment result shows that comparing with the commonly used ampere-hour integration approach, EKF decreased estimation error from 15.48% to 7.27%. High precision SOC estimation algorithm and effective charge equalization method can maintain the battery cells working at a good situation and extend the service life of the battery pack, reducing the cost of use indirectly. This is meaningful for Li-ion battery's industrial application.
收录类别CPCI(ISTP)
产权排序1
会议主办者Amer Appl Sci Res Inst, Huazhong Normal Univ
会议录PROCEEDINGS OF THE AASRI INTERNATIONAL CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (IEA 2015)
会议录出版者ATLANTIS PRESS
会议录出版地PARIS
语种英语
ISSN号2352-5401
ISBN号978-94-62520-65-3
WOS记录号WOS:000359815600038
源URL[http://ir.sia.cn/handle/173321/16935]  
专题沈阳自动化研究所_装备制造技术研究室
推荐引用方式
GB/T 7714
Yuan XQ,Zhao L,Li B,et al. Battery Management System for Electric Vehicle and the Study of SOC Estimation[C]. 见:AASRI International Conference on Industrial Electronics and Applications (IEA). London, ENGLAND. JUN 27-28, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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