Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine | |
Meng, Jinhao; Cai, Lei; Luo, Guangzhao; Stroe, Daniel-Ioan; Teodorescu, Remus | |
2018 | |
卷号 | 88-90页码:1216-1220 |
关键词 | State of health Lithium-ion battery Current pulse test Feature selection Support vector machine |
ISSN号 | 00262714 |
DOI | 10.1016/j.microrel.2018.07.025 |
URL标识 | 查看原文 |
WOS记录号 | WOS:000448227000224 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4972930 |
专题 | 西安理工大学 |
推荐引用方式 GB/T 7714 | Meng, Jinhao,Cai, Lei,Luo, Guangzhao,et al. Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine[J],2018,88-90:1216-1220. |
APA | Meng, Jinhao,Cai, Lei,Luo, Guangzhao,Stroe, Daniel-Ioan,&Teodorescu, Remus.(2018).Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine.,88-90,1216-1220. |
MLA | Meng, Jinhao,et al."Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine".88-90(2018):1216-1220. |
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