A New SOH Prediction Model for Lithium-ion Battery for Electric Vehicles

被引：0
|
作者：
Han, Huachun [1 ,2 ]
Xu, Haiping [1 ]
Yuan, Zengquan [1 ]
Shen, Yanling [1 ,2 ]
机构：
[1] Chinese Acad Sci, IEE, Key Lab Power Elect & Elect Drive, Beijing 100864, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
来源：
2014 17TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS) | 2014年
关键词：
STATE-OF-CHARGE; SAMPLE ENTROPY; HEALTH; PROGNOSTICS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
State of health (SOH) prediction for lithium-ion battery is a key technology, which is a foundation of ensuring electrical vehicle system's safety and reliability. The paper proposes a novel SOH prediction model of lithium-ion battery based on sample entropy (SampEn). The cell voltage sequence under the HPPC (hybrid pulse power characteristic) profile is used as the input of the proposed model. The prediction model is established by calculating the sample entropy, using Arrhenius formula, optimizing and fitting polynomial. The tests of other five batteries are used to verify the model, with the prediction relative errs within two percent.
引用
收藏
页码：997 / 1002
页数：6
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