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 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.