Optimization of proton exchange membrane fuel cell’s end plates

Springer Science and Business Media LLC - Tập 2 - Trang 1-8 - 2020
Mostafa Habibnia1, Mohammadreza Shirkhani2, Peyman Ghasemi Tamami3
1Department of Mechanical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran
2Department of Mechanical Engineering, Sari Branch, Islamic Azad University, Sari, Iran
3Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran

Tóm tắt

In this study, we present the optimization of end plates to produce uniform pressure and low content on the gas diffusion layer in polymer membrane fuel cell. For this purpose the end plates and the influence of parameters on the gas diffusion layer pressure has been investigated. Parameters studied are the thickness of the end plate, the depth of the bipolar plates groove and the clamping pressure applied to the end plates. After defining their values in the Abaqus finite element software, mechanical analysis has been carried out to examine the stress distribution on the gas diffusion layer and the results have been extracted. By extracting the results of the analysis and importing into the Adaptive Network-based Fuzzy Inference Systems in MATLAB software, a numerical relationship between the influential values and the outputs is extracted. By investigating these relationships and defining the objective function, we investigate the algorithm required for the equation and uniformity of stress distribution on the gas diffusion layer. In this research, the bee algorithm has been used and it has been evaluating the effective parameters of the optimum fuel cell state. After final review of the results, the suggested optimum state of the bee algorithm is the thickness of the end plate 12 mm, the depth of the bipolar plate groove is 0.1077 mm and the clamping pressure is 11.0199 MPa.

Tài liệu tham khảo

Habibnia M et al (2016) Investigation and optimization of a PEM fuel cell’s electrical and mechanical behavior. Iran J Hydrogen Fuel Cell 3(1):1–10 Fili MH, Habibnia M, Ghasemi Tamami P (2017) Modeling and experimental study on the sealing gasket of proton exchange membrane fuel cells. Iran J Hydrogen Fuel Cell 3(3):213–220 Habibnia M, Ghasemi Tamami P, Sang Davini H (2018) Design and investigation of honeycomb end plates for PEM fuel cells. Iran J Hydrogen Fuel Cell 4(3):189–199 Kim JG et al (2015) Autocorrelation standard deviation and root mean square frequency analysis of polymer electrolyte membrane fuel cell to monitor for hydrogen and air undersupply. J Power Sour 300:164–174 Ham S-W et al (2015) A simplified PEM fuel cell model for building cogeneration applications. Energy Build 107:213–225 Jang H et al (2015) Direct power generation from waste coffee grounds in a biomass fuel cell. J Power Sour 296:433–439 Bates A et al (2013) Simulation and experimental analysis of the clamping pressure distribution in a PEM fuel cell stack. Intern J Hydrogen Energy 38(15):6481–6493 Xing XQ et al (2010) Optimization of assembly clamping pressure on performance of proton-exchange membrane fuel cells. J Power Sour 195(1):62–68 Yim S-D et al (2010) The influence of stack clamping pressure on the performance of PEM fuel cell stack. Curr Appl Phys 10(2):S59–S61 Carral C, Mélé P (2014) A numerical analysis of PEMFC stack assembly through a 3D finite element model. Int J Hydrogen Energy 39(9):4516–4530 Lee S-J, Hsu C-D, Huang C-H (2005) Analyses of the fuel cell stack assembly pressure. J Power Sour 145(2):353–361 Lai X, Peng L, Ni J (2008) A mechanical–electrical finite element method model for predicting contact resistance between bipolar plate and gas diffusion layer in PEM fuel cells. J Power Sour 182(1):153–159 Asghari S, Shahsamandi MH, Ashraf Khorasani MR (2010) Design and manufacturing of end plates of a 5 kW PEM fuel cell. Intern J Hydrogen Energy 35(17):9291–9297 Pham DT et al (2006) *The bees algorithm—a novel tool for complex optimisation problems. In: Intelligent production machines and systems, 2nd I*PROMS virtual international conference 3–14 July 2006, pp 454–459 Gholipour R, Khosravi A, Mojallali H (2015) Multi-objective optimal backstepping controller design for chaos control in a rod-type plasma torch system using bees algorithm. Appl Math Model 39(15):4432–4444 Sarailoo M, Rahmani Z, Rezaie B (2015) A novel model predictive control scheme based on bees algorithm in a class of nonlinear systems: application to a three tank system. Neurocomputing 152:294–304 Stein T, Ein-Eli Y (2019) Proton exchange membrane (PEM) fuel cell bipolar plates prepared from a physical vapor deposition (PVD) titanium nitride (TiN) coated AISI416 stainless-steel. SN Appl Sci 1(11):1420 Elumalai V et al (2019) Preparation of tungstic acid functionalized titanium oxide nanotubes and its effect on proton exchange membrane fuel cell. SN Appl Sci 1(4):348