• DocumentCode
    2842180
  • Title

    Modeling for electrical characteristics of solid oxide fuel cell based on fractional calculus

  • Author

    Cao, HongLiang ; Xi, Li ; Deng, ZhongHua ; Yi, Qin

  • Author_Institution
    Dept. of Control Sci. & Technol., Huazhong Uni. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    319
  • Lastpage
    322
  • Abstract
    It´s vital for the research of electrochemical reaction in solid oxide fuel cell (SOFC) to establish accurate dynamic model of its electrical characteristics. The inherent potential polarization of SOFC is analyzed, and integer order dynamic model is established by equivalent circuit. Experimental data is studied by electrochemical impedance spectroscopy (EIS), and its novel fractional order dynamic model is proposed exploringly based on the capacitor theory. Then, the parameters of integer order and fractional order models are optimized by genetic algorithm. Finally, according to the comparison of integer order dynamic model, fractional order dynamic model and impedance spectra of experimental data, the conclusion can be obtained that electric double- layer in electrode/electrolyte interface have non-integer order characteristics, and potential polarization of SOFC is more suitable to be characterized via fractional order dynamic model.
  • Keywords
    calculus; electrochemical electrodes; electrochemical impedance spectroscopy; genetic algorithms; solid oxide fuel cells; capacitor theory; electrical characteristics; electrochemical impedance spectroscopy; electrochemical reaction; electrode-electrolyte interface; fractional calculus; fractional order dynamic model; genetic algorithm; integer order dynamic model; solid oxide fuel cell; Capacitors; Electric variables; Electrochemical impedance spectroscopy; Electrodes; Equivalent circuits; Fractional calculus; Fuel cells; Genetic algorithms; Polarization; Solid modeling; Electrochemical Impedance Spectroscopy; Equivalent Circuit; Fractional Order Dynamic Model; Genetic Algorithm; Integer Order Dynamic Model; Solid Oxide Fuel Cell;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5195103
  • Filename
    5195103