• DocumentCode
    2337487
  • Title

    Modeling of power batteries based on subspace identification method

  • Author

    Du, Xiaowei ; Qi, Bojin ; Zheng, Minxin

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2012
  • fDate
    18-20 July 2012
  • Firstpage
    1579
  • Lastpage
    1581
  • Abstract
    The research on modeling of power battery based on the subspace identification method was conducted. Firstly, an equivalent circuit model of the battery was set up . To identify the parameters of the model, through the acquisition data of the battery´s current and voltage, a general state-space model was developed by the subspace identification method. Then by the method of equivalent transformation, the system matrices of the general model were transformed to be identical to the equivalent circuit model structurally. The parameters of the equivalent circuit model were then calculated. Experiments and simulations under the driving conditions were conducted, it is showed that the model indentified by these methods simulates the battery´s behavior effectively. And the parameters with physical meaning were acquired.
  • Keywords
    cells (electric); data acquisition; equivalent circuits; matrix algebra; parameter estimation; battery current; battery voltage; data acquisition; equivalent circuit model; equivalent transformation method; general state-space model; matrix system; parameter identification; power battery modeling; subspace identification method; Batteries; Educational institutions; Equivalent circuits; Integrated circuit modeling; Mathematical model; Numerical models; Voltage measurement; model of power battery; parameter identification; subspace identification method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-2118-2
  • Type

    conf

  • DOI
    10.1109/ICIEA.2012.6360975
  • Filename
    6360975