• DocumentCode
    229744
  • Title

    A new SOC estimation algorithm without integrated error using DCIR repetitive calculation

  • Author

    Yong-Ki Cho ; Yong-Min Jeong ; Jung-Hoon Ahn ; Seung-Hee Ryu ; Byoung-Kuk Lee

  • Author_Institution
    Coll. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    865
  • Lastpage
    870
  • Abstract
    In this paper, the State of Charge (SOC) estimation algorithm is proposed using the Direct Current Internal Resistance (DCIR) repetitive calculation, which reflects the renewed Open Circuit Voltage (OCV) in real-time by using the measured DCIR through the constant current injection method. Therefore, it is possible to improve the estimation error because there is no integration error and reset interval. Finally, the performance of the proposed method is evaluated by comparing with the estimated SOC result using the Coulomb-Counting method under the various C-rates experimental conditions. Also, a State of Health (SOH) estimation method using measured DCIR and Extended Kalman filter (EKF) is proposed. The accuracy of estimation method is evaluated by MATLAB simulation results.
  • Keywords
    Kalman filters; nonlinear filters; secondary cells; Coulomb-Counting method; DCIR repetitive calculation; EKF; MATLAB simulation; OCV; SOC estimation algorithm; SOH estimation method; constant current injection method; direct current internal resistance repetitive calculation; estimation error improvement; extended Kalman filter; measured DCIR; open circuit voltage; state-of-charge estimation algorithm; state-of-health estimation method; various C-rate experimental condition; Batteries; Battery charge measurement; Current measurement; Estimation; System-on-chip; Temperature measurement; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ICEMS.2014.7013590
  • Filename
    7013590