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
Link To Document :
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