Lithium-ion Battery Remaining Useful Life Prediction Under Grey Theory Framework

被引：0

作者：

Zhou, Zhenwei ^{[1
]}

Huang, Yun ^{[1
]}

Lu, Yudong ^{[1
]}

Shi, Zhengyu ^{[1
]}

Zhu, Liangbiao ^{[1
]}

Wu, Jiliang ^{[2
]}

Li, Hui ^{[2
]}

机构：

[1] China Elect Prod Reliabil & Environm Testing Res, 110 Dongguanzhuang Rd, Guangzhou, Guangdong, Peoples R China

[2] Wuhan Zhongyuan Changjiang Sci & Technol Dev Co L, Wuhan, Hubei, Peoples R China

来源：

PROCEEDINGS OF 2014 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-2014 HUNAN) | 2014年

关键词：

Lithium-ion battery; remaining useful life; prediciton; grey theory;

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：

This paper investigates the Lithium-ion battery remaining useful life (RUL) prediction problem under grey model framework. The Lithium-ion battery capacity degradation is described with the help of grey model and revised grey model, respectively, and the least squares is employed to identify the unknown parameters in the grey models. Then the RUL prediction is presented based on the grey models. The experimental example shows that the revised grey model has higher precision than grey model in predicting Lithium-ion battery RUL.

引用

页码：297 / 300

页数：4

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