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.
Original language | English |
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Pages (from-to) | 7212-7228 |
Journal | International Journal of Hydrogen Energy |
Volume | 36 |
Issue number | 12 |
DOIs | |
Publication status | Published - 2011 |
MoE publication type | A1 Journal article-refereed |
Keywords
- SOFC
- modelling
- artificial intelligent
- neural network
- electrochemical impedance spectroscopy
- model-based diagnosis