• DocumentCode
    2849685
  • Title

    Li-ion battery parameter estimation for state of charge

  • Author

    Xidong Tang ; Xiaofeng Mao ; Jian Lin ; Koch, B.

  • Author_Institution
    Global R&D, Gen. Motors, Warren, MI, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    941
  • Lastpage
    946
  • Abstract
    Battery state of charge (SOC) is a critical parameter for the control of propulsion systems in plug-in hybrid electric vehicles (PHEV) and electric vehicles (EV). As SOC is not measureable during vehicle operation, an onboard adaptive algorithm is developed in this paper. The algorithm estimates six electrical parameters for Li-ion batteries and provides a reliable SOC based on one of the estimated battery parameters, i.e. open circuit voltage (OCV). Simulation and vehicle validation results show good robustness and adaptation of the algorithm with high computational efficiency and low implementation cost.
  • Keywords
    battery powered vehicles; hybrid electric vehicles; lithium; secondary cells; Li; Li-ion battery parameter estimation; OCV; PHEV; SOC; high computational efficiency; onboard adaptive algorithm; open circuit voltage; plug-in hybrid electric vehicles; propulsion systems control; Batteries; Battery charge measurement; Estimation; Hysteresis; Integrated circuit modeling; Parameter estimation; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5990963
  • Filename
    5990963