• Title of article

    A Review on solid oxide fuel cell models

  • Author/Authors

    Wang، نويسنده , , K. and Hissel، نويسنده , , D. and Péra، نويسنده , , M.C. Lux-Steiner، نويسنده , , Richard N. and Marra، نويسنده , , D. and Sorrentino، نويسنده , , M. and Pianese، نويسنده , , C. and Monteverde، نويسنده , , M. and Cardone، نويسنده , , P. and Saarinen، نويسنده , , J.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    17
  • From page
    7212
  • To page
    7228
  • Abstract
    Since the model plays an important role in diagnosing solid oxide fuel cell (SOFC) system, this paper proposes a review of existing SOFC models for model-based diagnosis of SOFC stack and system. Three categories of modelling based on the white-, the black- and the grey-box approaches are introduced. The white-box model includes two types, i.e. physical model and equivalent circuit model based on EIS technique. The black-box model is based on artificial intelligence and its realisation relies mainly on experimental data. The grey-box model is more flexible: it is a physical representation but with some parts being modelled empirically. Validation of models is discussed and a hierarchical modelling approach involving all of three modelling methods is briefly mentioned, which gives an overview of the design for implementing a generic diagnostic tool on SOFC system.
  • Keywords
    SOFC , Modelling , Artificial intelligent , neural network , Model-based diagnosis , Electrochemical impedance spectroscopy
  • Journal title
    International Journal of Hydrogen Energy
  • Serial Year
    2011
  • Journal title
    International Journal of Hydrogen Energy
  • Record number

    1665860