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Li-ion battery SOC estimation based on EKF algorithm
Li B(李博); Yuan XQ(袁学庆); Zhao L(赵林)
Department装备制造技术研究室
Conference Name2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
Conference DateJune 8-12, 2015
Conference PlaceShenyang, China
Source Publication2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages1584-1588
Indexed ByEI ; CPCI(ISTP)
EI Accession number20161402187783
WOS IDWOS:000380502300289
Contribution Rank1
ISSN2379-7711
ISBN978-1-4799-8730-6
AbstractLi-ion battery is more and more popular in aviation area in recent years for its high energy density, no memory characteristic and long cycle life. The currently used state of charge (SOC) estimation methods based on extended Kalman filter (EKF) doesn't have a very good accuracy due to the modeling error, which could influence the performance of the battery management system (BMS) and the control of the host machine. Considering about this, 7 ranks Thevenin model is adopted in this article which has a good precision and exponential function and logarithmic function are introduced to increase modeling precision. In the experiment, the max estimation error based on the improved model declined 71.59% comparing to the original model. The experiment result shows through improving the battery model the SOC estimation accuracy basing on EKF is improved greatly, which is significant for the performance of BMS and the host machine.
Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17669
Collection智能产线与系统研究室
AffiliationEquipment Manufacturing Technology Laboratory, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Li B,Yuan XQ,Zhao L. Li-ion battery SOC estimation based on EKF algorithm[C]. Piscataway, NJ, USA:IEEE,2015:1584-1588.
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