PEM fuel cell modeling and simulation via the Takagi-Sugeno Fuzzy model

In this paper, a dynamic model of the PEMFC(polyelectrolyte membrane fuel cell) based on physical principles is built, in the form of a nonlinear statespace model. The Fuel Cell System (FCS) is a nonlinear system which is characterized by multiple variables and a strong coupling with profound dynami...

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Bibliographic Details
Main Authors: Olteanu, S. C., Aitouche, A., Oueidat, M., Jouni, A.
Format: Conference Proceeding
Language:English
Subjects:
Anodes
Atmospheric modeling
Cathodes
Fuel cells
LMI (Linear Matrix Inequality)
Manifolds
Mathematical model
Nonlinear dynamical systems
PEM Fuel Cell
Stack
Takagi-Sugeno model
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Summary:In this paper, a dynamic model of the PEMFC(polyelectrolyte membrane fuel cell) based on physical principles is built, in the form of a nonlinear statespace model. The Fuel Cell System (FCS) is a nonlinear system which is characterized by multiple variables and a strong coupling with profound dynamics. Therefore, it is difficult to apply control theory methods. For this reason, we have approximated the model of FCS by a Takagi-Sugeno Fuzzy model with fuzzy defined regions where the nonlinear system is locally linearized. The dynamics considered are: air compressor, supply and return manifold, anode and cathode flow, humidifier, cooler and stack voltage. Simulation results show that nonlinear system of PEM fuel cell can be approximated by a TS fuzzy model based on nonlinear sectors. The simulations show also that the supply and return manifold pressures and temperatures have significant effects on the dynamics of the PEMFC.
DOI:10.1109/REDEC.2012.6416713