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An On-Board Remaining Useful Life Estimation Algorithm for Lithium-Ion Batteries of Electric Vehicles 원문보기

Energies, v.10 no.5, 2017년, pp.691 -   

Li, Xiaoyu (Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China) ,  Shu, Xing (Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China) ,  Shen, Jiangwei (Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China) ,  Xiao, Renxin (Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China) ,  Yan, Wensheng (Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China) ,  Chen, Zheng (Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China)

Abstract AI-Helper 아이콘AI-Helper

Battery remaining useful life (RUL) estimation is critical to battery management and performance optimization of electric vehicles (EVs). In this paper, we present an effective way to estimate RUL online by using the support vector machine (SVM) algorithm. By studying the characteristics of the batt...

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