• DocumentCode
    1515828
  • Title

    A Foster Network Thermal Model for HEV/EV Battery Modeling

  • Author

    Hu, Xiao ; Lin, Shaohua ; Stanton, Scott ; Lian, Wenyu

  • Author_Institution
    ANSYS Inc., Canonsburg, PA, USA
  • Volume
    47
  • Issue
    4
  • fYear
    2011
  • Firstpage
    1692
  • Lastpage
    1699
  • Abstract
    Battery thermal management for high-power applications such as electrical/hybrid vehicles is crucial. Modeling is an indispensable tool to help engineers design better battery cooling systems. An accurate battery thermal model using a Foster network is proposed. The parameters in the Foster network, including capacitance and resistance, are extracted from computational fluid dynamics (CFD) results. The Foster network model is then shown to provide equivalent results as those from CFD under transient heat dissipation inputs. The model can be readily coupled with a battery electrical circuit model to form a complete battery system circuit model capable of predicting accurate battery temperature and the impact of temperature on battery electrical transient performance.
  • Keywords
    battery powered vehicles; computational fluid dynamics; cooling; hybrid electric vehicles; secondary cells; thermal management (packaging); transients; CFD; HEV-EV battery modeling; battery cooling system; battery electrical circuit model; battery electrical transient performance; battery thermal management; computational fluid dynamic; foster network thermal model; hybrid electric vehicle-electric vehicle battery modeling; transient heat dissipation input; Batteries; Computational fluid dynamics; Convolution; Heating; Integrated circuit modeling; Mathematical model; Temperature measurement; ANSYS; FLUENT; SIMPLORER; battery electrical circuit model; battery thermal management; computational fluid dynamics (CFD); electric vehicle (EV); hybrid EV (HEV); linear and time invariant (LTI);
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2011.2155012
  • Filename
    5766741