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
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