Practical failure recognition model of lithium-ion batteries based on partial charging process

被引:22
作者
Chen, Kunlong [1 ,2 ]
Zheng, Fangdan [1 ,2 ]
Jiang, Jiuchun [1 ,2 ]
Zhang, Weige [1 ,2 ]
Jiang, Yan [1 ,2 ]
Chen, Kunjin [3 ]
机构
[1] Beijing Jiaotong Univ, Natl Act Distribut Network Technol Res Ctr NANTEC, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100044, Peoples R China
[3] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
关键词
Lithium-ion battery; Failure recognition; Incremental capacity; Variable selection; Linear discriminant analysis; POSITIVE-ELECTRODE; HEALTH ESTIMATION; STATE; MANAGEMENT; SELECTION;
D O I
10.1016/j.energy.2017.08.017
中图分类号
O414.1 [热力学];
学科分类号
摘要
The recognition of failed batteries in a battery pack has long been a time-consuming task. Thus there is an urgent need for an on-board method implementation to identify failed batteries for the safe operation of electric vehicles. In this paper, a novel method to identify failed batteries with insufficient capacities is proposed. The properties of the incremental capacity curve are studied. Six features are extracted from the partial incremental capacity curve of each battery and a shrinkage method called the elastic net is used to select two variables that are most relevant to the capacity fade. A classification model based on linear discriminant analysis is established which can assign a given battery into two classes, namely "good" and "bad". The effect of prior probability for each class of battery and the configuration to minimize true loss are discussed. This proposed method is relatively easy to implement with high accuracy, thus having high practicability. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1199 / 1208
页数:10
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