• DocumentCode
    1769169
  • 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
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    297
  • Lastpage
    300
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
  • Conference_Location
    Zhangiiaijie
  • Print_ISBN
    978-1-4799-7957-8
  • Type

    conf

  • DOI
    10.1109/PHM.2014.6988182
  • Filename
    6988182