• DocumentCode
    1567142
  • Title

    The State and Parameter Estimation of an Li-Ion Battery Using a New OCV-SOC Concept

  • Author

    Lee, S.J. ; Kim, J.H. ; Lee, J.M. ; Cho, Bo H.

  • Author_Institution
    Seoul Nat. Univ., Seoul
  • fYear
    2007
  • Firstpage
    2799
  • Lastpage
    2803
  • Abstract
    The open circuit voltage (OCV) is widely used to estimate the state of charge (SOC) in many SOC estimation algorithms. But the relationship between the OCV and SOC can not be exactly same for all batteries. Because the conventional OCV-SOC differs between batteries, there is a problem in that the OCV-SOC data should be measured to accurately estimate the SOC in different batteries. Therefore, the conventional OCV- SOC should be modified. In this paper, a new OCV-SOC that is independent of the battery conditions is proposed. Thus, problems resulting from the defects of the EKF can be avoided by preventing the OCV-SOC data from varying. In this paper, the SOC and battery capacity are estimated using the dual EKF with the proposed OCV-SOC.
  • Keywords
    Kalman filters; electric charge; lithium; parameter estimation; secondary cells; state estimation; Li-ion battery; extended Kalman filter; open circuit voltage; parameter estimation; state estimation; state-of-charge estimation; Battery charge measurement; Circuit testing; Computer science; Filters; Hybrid electric vehicles; Parameter estimation; Recursive estimation; State estimation; Temperature; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Specialists Conference, 2007. PESC 2007. IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    0275-9306
  • Print_ISBN
    978-1-4244-0654-8
  • Electronic_ISBN
    0275-9306
  • Type

    conf

  • DOI
    10.1109/PESC.2007.4342462
  • Filename
    4342462