A Hierarchical Model for Lithium-Ion Battery Degradation Prediction

被引:36
|
作者
Xu, Xin [1 ]
Li, Zhiguo [1 ,2 ]
Chen, Nan [1 ]
机构
[1] Natl Univ Singapore, Dept Ind & Syst Engn, Singapore 117576, Singapore
[2] IBM TJ Watson Res Ctr, Yorktown Hts, NY 10598 USA
基金
新加坡国家研究基金会;
关键词
Degradation; discharging profile; Gibbs sampling; hierarchical model; lithium-ion battery; remaining useful cycles; smoothing spline; REMAINING USEFUL LIFE; PARTICLE SWARM OPTIMIZATION; PROGNOSTICS;
D O I
10.1109/TR.2015.2451074
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Developing prognostics and health management (PHM) approaches for lithium-ion batteries has received increasing attention in recent years. This paper presents a new modeling framework to characterize lithium-ion battery degradation by examining detailed discharging voltage profiles in different discharging cycles. We propose a hierarchical model, combining discharging processes and degradation processes, to predict the end of discharges in different cycles and remaining useful cycles integratively. We use a real case study to demonstrate the effectiveness and promising features of the proposed framework.
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页码:310 / 325
页数:16
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