Method for estimating capacity and predicting remaining useful life of lithium-ion battery

被引:124
作者
Hu, Chao [1 ]
Jain, Gaurav [1 ]
Tamirisa, Prabhakar [1 ]
Gorka, Tom [1 ]
机构
[1] Medtron Energy & Component Ctr, Brooklyn Ctr, MN 55430 USA
关键词
Capacity; Health monitoring; Prognostics; Remaining useful life; Lithium-ion battery; STATE-OF-CHARGE; MANAGEMENT-SYSTEMS; PART; PARAMETER; PACKS;
D O I
10.1016/j.apenergy.2014.03.086
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Reliability of lithium-ion (Li-ion) rechargeable batteries used in implantable medical devices has been recognized as of high importance from a broad range of stakeholders, including medical device manufacturers, regulatory agencies, physicians, and patients. To ensure Li-ion batteries in these devices operate reliably, it is important to be able to assess the capacity of Li-ion battery and predict the remaining useful life (RUL) throughout the whole life-time. This paper presents an integrated method for the capacity estimation and RUL prediction of Li-ion battery used in implantable medical devices. A state projection scheme from the author's previous study is used for the capacity estimation. Then, based on the capacity estimates, the Gauss-Hermite particle filter technique is used to project the capacity fade to the end-ofservice (EOS) value (or the failure limit) for the RUL prediction. Results of 10 years' continuous cycling test on Li-ion prismatic cells in the lab suggest that the proposed method achieves good accuracy in the capacity estimation and captures the uncertainty in the RUL prediction. Post-explant weekly cycling data obtained from field cells with 4-7 implant years further verify the effectiveness of the proposed method in the capacity estimation. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:182 / 189
页数:8
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