• DocumentCode
    1769307
  • Title

    An approach for state of charge estimation of Li-ion battery based on Thevenin equivalent circuit model

  • Author

    Bing Chen ; Haodong Ma ; Hongzheng Fang ; Huanzhen Fan ; Kai Luo ; Bin Fan

  • Author_Institution
    Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    647
  • Lastpage
    652
  • Abstract
    Recently, Lithium-ion battery has been used in electric vehicles, portable electronic devices, even aerospace and other fields, since its many advantages compare to the other conventional batteries. At the same time, the estimation of state of charge (SOC), cycle life and other performance for lithium-ion batteries become research focus in the related fields, in order to ensure that the operation of lithium-ion battery-powered devices and systems were safe, reliable and economic. Efficient and accurate state of charge estimation for the Lithium-ion batteries can help to optimize the charging/discharging and operation strategy, prevent the occurrence due to losing power unexpectedly from happening, and decrease the cost of the consequent accidents. Open circuit voltage is often used to estimate SOC of the battery, unfortunately, it is not easy to measure usually, and the hysteresis effect is a big challenge. In this paper, we built a Thevenin equivalent circuit model and identified the relationship of SOC compare to battery terminal voltage and charging/discharging current, and then estimated the SOC with relevance vector machine. The experimental results proved the feasibility of the methodology, which can provide potential application for SOC prediction.1.
  • Keywords
    power engineering computing; secondary cells; support vector machines; SOC; Thevenin equivalent circuit model; battery terminal voltage; charging/discharging current; cycle life; lithium-ion battery; relevance vector machine; state of charge estimation; Batteries; Equivalent circuits; Estimation; Integrated circuit modeling; Mathematical model; System-on-chip; Voltage measurement; Li-ion battery; SOC estimation; Thevenin equivalent circuit model; model identification; relevance vector machine;
  • 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.2014.6988253
  • Filename
    6988253