NDLI: Prognostics and health monitoring for lithium-ion battery

Content Provider	IEEE Xplore Digital Library
Author	Yinjiao Xing Qiang Miao Tsui, K.-L. Pecht, M.
Copyright Year	2011
Description	Author affiliation: Center for Prognostics and System Health Management, City University of Hong Kong, Hong Kong (Yinjiao Xing) \|\| Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, USA (Qiang Miao; Pecht, M.) \|\| Dept. of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong (Tsui, K.-L.)
Abstract	Health monitoring is used to analyze and predict the battery health status. However, no matter what health monitoring methods and parameters are, a major aim is to improve the battery reliability through surveillance and prognostics. Hence, the latest known methods of state estimation and life prediction based on battery health monitoring are discussed in this paper. Through comparing their characteristics respectively, a prognostics-based fusion technique is proposed that combines physics-of-failure (PoF) with data-driven technology. The fusion approach not only investigates battery failure mechanism caused by environmental and internal characteristics, but also assesses parameters with aid of real-time health monitoring. The specific method is presented to realize the estimation on remaining useful life (RUL) of batteries.
Starting Page	242
Ending Page	247
File Size	1001031
Page Count	6
File Format	PDF
ISBN	9781457700828
e-ISBN	9781457700859
DOI	10.1109/ISI.2011.5984090
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	PoF Fusion technique RUL Lithium-ion Battery Batteries Prognostics Temperature sensors Temperature measurement Degradation Analytical models Health Monitoring Monitoring Load modeling
Content Type	Text
Resource Type	Article

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