An Analytical Solution of a Half-Cell Model for PEM Fuel Cells

2000 ◽  
Vol 147 (7) ◽  
pp. 2468 ◽  
Author(s):  
Vladimir Gurau ◽  
Frano Barbir ◽  
Hongtan Liu
2010 ◽  
Vol 2010 ◽  
pp. 1-16 ◽  
Author(s):  
Shuh-Jye Chern ◽  
Po-Chun Huang

A nonlinear boundary value problem (BVP) from the modelling of the transport phenomena in the cathode catalyst layer of a one-dimensional half-cell single-phase model for proton exchange membrane (PEM) fuel cells, derived from the 3D model of Zhou and Liu (2000, 2001), is studied. It is a BVP for a system of three coupled ordinary differential equations of second order. Schauder's fixed point theorem is applied to show the existence of a solution in the Sobolev space .


2009 ◽  
Vol 23 (03) ◽  
pp. 537-540 ◽  
Author(s):  
JIANG HUI YIN ◽  
JUN CAO

A general proton exchange membrane fuel cell model including two finite-thickness catalysts is developed in this study, allowing for an in-depth understanding of the effects of the two key electrochemical reactions taking place in the two catalysts. The model is used to predict the performances of fuel cells employing two different flow channel designs, providing insights for fuel cell design and performance optimization.


Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1884 ◽  
Author(s):  
Ahmed M. Agwa ◽  
Attia A. El-Fergany ◽  
Gamal M. Sarhan

In simulation studies, the precision of fuel cell models has a vital role in the quality of results. Unfortunately, due to the shortage of manufacturer data given in the datasheets, several unknown parameters should be defined to establish the fuel cell model for further precise analysis. This research addresses a novel application of the atom search optimization (ASO) algorithm to generate these unknown parameters of the fuel cell model and in particular of the polymer exchange membrane (PEM) type. The objective of this study is to establish an accurate model of the PEM fuel cells, which will provide accurate results of modeling and simulation in a steady-state condition. Simulations and further demonstrations were performed under MATLAB/SIMULINK. The viability of the proposed models was appraised by comparing its simulation results with the experimental results of number of commercial PEM fuel cells. In the same context, the obtained numerical results by the proposed ASO-based method were compared to other challenging optimization methods-based results. Finally, parametric tests were made which indicated the robustness of the ASO results as well. It can be stated here that ASO performs well and has a good capability to extract the unknown parameters with lesser errors.


Author(s):  
Sahuar Sahu

Interest in PEM fuel cells has grown rapidly in recent years because of its possible applications. The performance of PEM fuel cells is strongly affected by various physical factors, such as the flow of reactant gas, thermal management and water management. The performance and characteristics of a PEM fuel cell have been analysed through the development of a 3D model and numerical simulation. The result obtained from the computational model shows details of species movement, charge Transport and mass transfer phenomena. This paper also investigates the influence of input parameters on the output of the PEM fuel cell model. The result from the analytical study is compared with experimental results to check the accuracy of the model.


2021 ◽  
Author(s):  
Jianghui Yin

A detailed non-isothermal computational fluid dynamics (CFD) model for proton electrolyte membrane (PEM) fuel cells is developed in this thesis. This model consists of the equations of continuity, momentum, energy, species concentrations, and electric potentials in different regions of a PEM fuel cell. In particular, the fairly thin catalyst layers of the fuel cell are assigned a finite thickness instead of being treated as nil thickness interfaces in other PEM fuel cell models. Various source/sink terms are presented to associate the conservation equations with the electrochemical reaction kinetics. The water balance in the membrane is modeled by coupling diffusion of water, pressure variation, and the electro-osmotic drag. The membrane swelling effect is explicitly considered the newly derived model, leading to a set of novel water and proton transport equations for a membrane under the partial hydration condition. The electron transport in the catalyst layers, gas diffusion layers and bipolar plates are also described. The PEM fuel cell model developed has been implemented into a commercial CFD software package for simulating various flow and transport phenomena arising in operational PEM fuel cells, analyzing the impact of design and operating parameters on the cell performance, and optimizing the PEM fuel cell design.


2021 ◽  
Author(s):  
Jianghui Yin

A detailed non-isothermal computational fluid dynamics (CFD) model for proton electrolyte membrane (PEM) fuel cells is developed in this thesis. This model consists of the equations of continuity, momentum, energy, species concentrations, and electric potentials in different regions of a PEM fuel cell. In particular, the fairly thin catalyst layers of the fuel cell are assigned a finite thickness instead of being treated as nil thickness interfaces in other PEM fuel cell models. Various source/sink terms are presented to associate the conservation equations with the electrochemical reaction kinetics. The water balance in the membrane is modeled by coupling diffusion of water, pressure variation, and the electro-osmotic drag. The membrane swelling effect is explicitly considered the newly derived model, leading to a set of novel water and proton transport equations for a membrane under the partial hydration condition. The electron transport in the catalyst layers, gas diffusion layers and bipolar plates are also described. The PEM fuel cell model developed has been implemented into a commercial CFD software package for simulating various flow and transport phenomena arising in operational PEM fuel cells, analyzing the impact of design and operating parameters on the cell performance, and optimizing the PEM fuel cell design.


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