Modeling And Simulation Of Proton Exchange Membrane Fuel Cell

The fuel cells with the features of efficient, clean and environmental friendliness, are considered to be the green energy of the21st century. Currently, fuel cells, especially proton exchange membrane fuel cells (PEMFC) have a large number of applications within human life. Based on the extensive work of previous researchers, this thesis mainly addresses the modeling and simulation of PEMFC. Taking into account the interference of the vapor pressure, an improved model has been achieved. Details are as follows:First, the thesis describes some background knowledge of PEMFC, including the principle, classification and study status quo of PEMFC.Second, the thesis describes the experimental model and mechanism model of PEMFC. The structuring of the experimental model has mainly relied on the information ascertained by the voltammograms. Alternatively, the mechanism model mainly relies on the mathematical laws, such as conservation of mass, and energy consevation principles. Based on Simulink software, respectively, this thesis introduces the models and analysis of the experimental model, electrochemical model and dynamic model of PEMFC. According to the simulation results, some conclusions have been derived. The experimental model can reflect the relationship between the current density and voltage output of PEMFC, which has the feature of simplicity. Also the parameters of the experimental model have physical significance. The electrochemical model can fully reveal the working processes of PEMFC; it reflects the activation losses, concentration losses and ohmic losses. The dynamic model is derived from the electrochemical model, and it can reflect the dynamic characteristics of PEMFC in a more accurate fashion.Finally, the thesis describes the gas flow model of PEMFC. The modeling method is based on conservation of mass and gas law. Taking into account the interference of transients of gas pressure in the electrode of PEMFC, the thesis delivers a new model derived from the small-signal model. Furthermore, the simulation results have verified the linearisation of the model.