QQ客服 官方微博 反馈留言

	Remaining Discharge Time Prognostics of Lithium-Ion Batteries Using Dirichlet Process Mixture Model and Particle Filtering Method
	Yu Jinsong; Liang Shuang; Tang Diyin; Liu Hao
刊名	IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
	2017
卷号	66页码:2317-2328
关键词	Battery aging Dirichlet process mixture model (DPMM) lithium-ion battery particle filtering (PF) remaining discharge time (RDT) prognostics
ISSN号	0018-9456
DOI	10.1109/TIM.2017.2708204
URL标识	查看原文
收录类别	SCIE ; EI
WOS记录号	WOS:000407451100012
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5938372
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Yu Jinsong,Liang Shuang,Tang Diyin,et al. Remaining Discharge Time Prognostics of Lithium-Ion Batteries Using Dirichlet Process Mixture Model and Particle Filtering Method[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2017,66:2317-2328.
APA	Yu Jinsong,Liang Shuang,Tang Diyin,&Liu Hao.(2017).Remaining Discharge Time Prognostics of Lithium-Ion Batteries Using Dirichlet Process Mixture Model and Particle Filtering Method.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,66,2317-2328.
MLA	Yu Jinsong,et al."Remaining Discharge Time Prognostics of Lithium-Ion Batteries Using Dirichlet Process Mixture Model and Particle Filtering Method".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 66(2017):2317-2328.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。