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	Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries.
	Deng, Yuanwang; Ying, Hejie; E, Jiaqiang; Zhu, Hao; Wei, Kexiang; Chen, Jingwei; Zhang, Feng; Liao, Gaoliang
刊名	Energy
	2019
卷号	Vol.176页码:91-102
关键词	Feature selection Least squares Support Vector Machine Lithium-ion battery Multi-working conditions State-of-Health
ISSN号	0360-5442
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4609737
专题	湖南大学
作者单位	1.College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, China 2.Institute of the New Energy and Energy-saving & 3.Emission-reduction Technology, Hunan University, Changsha, 410082, China 4.Hunan Provincial Key Laboratory of Vehicle Power and Transmission System, Hunan Institute of Engineering, Xiangtan, 411104, China
推荐引用方式 GB/T 7714	Deng, Yuanwang,Ying, Hejie,E, Jiaqiang,et al. Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries.[J]. Energy,2019,Vol.176:91-102.
APA	Deng, Yuanwang.,Ying, Hejie.,E, Jiaqiang.,Zhu, Hao.,Wei, Kexiang.,...&Liao, Gaoliang.(2019).Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries..Energy,Vol.176,91-102.
MLA	Deng, Yuanwang,et al."Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries.".Energy Vol.176(2019):91-102.

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