• DocumentCode
    188497
  • Title

    Improved modeling of lithium-based batteries using temperature-dependent resistance and overpotential

  • Author

    Juang, Larry W. ; Kollmeyer, Phillip J. ; Jahns, T.M. ; Lorenz, R.D.

  • Author_Institution
    Wisconsin Electr. Machines & Power Electron. Consortium (WEMPEC), Univ. of Wisconsin - Madison, Madison, WI, USA
  • fYear
    2014
  • fDate
    15-18 June 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The temperature-dependent behavior of the resistance and overpotential of a lithium-iron-phosphate (LiFePO4) battery cell is explored in this paper. Offline experimental results from hybrid pulse power characterization (HPPC) tests and electrochemical impedance spectroscopy (EIS) methods for resistance and overpotential are explained using Arrhenius equations. Using a nonlinear regression technique, simulated drive cycle data are used to confirm the experimental findings and construct a generic cell model that explicitly takes temperature effects on the resistance and overpotential into account. The significance of the work lies in its confirmation of the inadequacy of the baseline linear-circuit model for lithium batteries at low temperatures and its presentation of a modeling approach that provides much better agreement with measured battery characteristics.
  • Keywords
    electric resistance; electrochemical impedance spectroscopy; iron compounds; lithium compounds; secondary cells; Arrhenius equations; EIS methods; HPPC tests; LiFePo4; baseline linear-circuit model; electrochemical impedance spectroscopy methods; generic cell model; hybrid pulse power characterization tests; lithium-based batteries; lithium-iron-phosphate battery cell; nonlinear regression technique; simulated drive cycle data; temperature-dependent resistance; Batteries; Data models; Mathematical model; Predictive models; Resistance; Temperature distribution; Temperature measurement; Hybrid Power Pulse Characterization; Kalman filter; State-of-Charge (SOC); battery management system (BMS); electric vehicle (EV); lithium iron phosphate battery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Conference and Expo (ITEC), 2014 IEEE
  • Conference_Location
    Dearborn, MI
  • Type

    conf

  • DOI
    10.1109/ITEC.2014.6861800
  • Filename
    6861800