Modeling Analysis for Species, Pressure, and Temperature Regulation in Proton Exchange Membrane Fuel Cells
The performance degradation of proton exchange membrane or polymer electrolyte membrane fuel cell (PEMFC) stems from air starvation and water flooding. In the mathematical modeling, the conservation equations were applied for momentum, mass, species, charge, and energy, to investigate the heat transfer and temperature distribution in the cathode along with the multiphase and multi-species transport under the steady-state condition. This model shows the effect of stoichiometry of reactants and relative humidity on the water saturation. The back-diffusion of water from the cathode to the anode is considered to reduce possible flooding. The feedback controls are used to address the transient water, pressure, and temperature management problems of a PEMFC system. An anode recirculation system measures the feedback signals to regulate the anode and cathode humidities and the pressure difference between the anode and cathode compartments. It was found that the robust nonlinear controller is insensitive to parametric uncertainty, maintaining performance around any equilibrium point.
The author thanks Dr. Jingbo Liu and Dr. Bashir for their support and encouragement to finish this review chapter.
- 2.R.T. Meyer, B. Yao, Modeling and simulation of a modern PEM fuel cell system, in ASME 2006 4th International Conference on Fuel Cell Science, Engineering and Technology (American Society of Mechanical Engineers, 2006), pp. 133–150Google Scholar
- 4.Peraza, C., Diaz, J. G., Arteaga-Bravo, F. J., Villanueva, C., Francisco Gonzalez-Longatt, F., Modeling and simulation of PEM fuel cell with bond graph and 20sim, in American Control Conference (2008), pp. 5104–5108Google Scholar
- 7.Z. Shi, X. Wang (2008). Two-dimensional PEM fuel cells modeling using COMSOL Multiphysics, in Modelling and Simulation, ed. by G. Petrone, G. Cammarata, pp. 677–688. Retrieved from: http://www.intechopen.com/books/modelling_ and_simulation/twodimensional_pem_fuel_cells_modeling_using_comsol_multiphysics
- 8.E. Robalinho, Z. Ahmed, E. Cekinski, M. Linardi, Advances in PEM fuel cells with CFD techniques, in Proceedings of the 5th International Workshop on Hydrogen and Fuel Cells (2010)Google Scholar
- 13.N. Zamel, X. Li, Non-isothermal multi-phase modeling of PEM fuel cell cathode. Int. J. Energy Res. 34, 568–584 (2010)Google Scholar
- 14.E.L. Cussler, Diffusion-Mass Transfer in Fluid Systems (Cambridge University Press, London, 1969)Google Scholar
- 18.Z. Shi, X. Wang, Comparison of Darcy’s law, the Brinkman equation, the modified NS equation and the pure diffusion equation in PEM fuel cell modeling, in COMSOL Conference, (2007)Google Scholar
- 20.R.K. Shah, A.L. London, Laminar Flow Forced Convection in Ducts (Academic, New York, 1978)Google Scholar
- 29.Z. Lua, S.G. Kandlikara, C. Ratha, M. Grimma, W. Domigana, A.D. Whitea, M. Hardbargera, J.P. Owejanb, T.A. Traboldb, Water management studies in PEM fuel cells, part II: Ex situ investigation of flow maldistribution, pressure drop and two-phase flow pattern in gas channels. Int. J. Hydrog. Energy 34, 3445–3456 (2009)CrossRefGoogle Scholar
- 30.P. Concus, R. Finn, On the behavior of a capillary surface in a wedge. Appl. Math. Sci. 63, 292–299 (1969)Google Scholar
- 31.R.W. Lockhart, R.C. Martinelli, Proposed correlation of data for isothermal two-phase, two-component flow in pipes. Chem. Eng. Prog. 45, 39–48 (1949)Google Scholar
- 35.F. Barbir, PEM Fuel Cells Theory and Practice (Academic Press, 2012)Google Scholar