Title :
Lithium-ion battery remaining useful life prediction under grey theory framework
Author :
Zhenwei Zhou ; Yun Huang ; Yudong Lu ; Zhengyu Shi ; Liangbiao Zhu ; Jiliang Wu ; Hui Li
Author_Institution :
China Electron. Product Reliability & Environ. Testing Res. Inst., Guangzhou, China
Abstract :
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.
Keywords :
parameter estimation; secondary cells; grey theory framework; least square method; lithium-ion battery RUL prediction; lithium-ion battery remaining useful life prediction; unknown parameter identification; Batteries; Data models; Degradation; Differential equations; Mathematical model; Parameter estimation; Predictive models; Lithium-ion battery; grey theory; prediciton; remaining useful life;
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
DOI :
10.1109/PHM.2014.6988182