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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Model Development And Optimization Base On Generalized Steady-State Electrochemical Equations For A PEM Fuel Cell

Authors:

Amir Shokuhi-Rad, Nader Nariman-Zadeh,

Mohammad Naghash-Zadegan

Published in:

 

(2009).ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera. European Council for Modeling and Simulation. doi:10.7148/2009 

 

ISBN: 978-0-9553018-8-9

 

23rd European Conference on Modelling and Simulation,

Madrid, June 9-12, 2009

Citation format:

Shokuhi-Rad, A., Nariman-Zadeh, N., & Naghash-Zadegan, M. (2009). Model Development And Optimization Base On Generalized Steady-State Electrochemical Equations For A PEM Fuel Cell. ECMS 2009 Proceedings edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera (pp. 322-327). European Council for Modeling and Simulation. doi:10.7148/2009-0322-0327

DOI:

http://dx.doi.org/10.7148/2009-0322-0327

Abstract:

The development of a generalized steady-state electrochemical model of a polymer electrolyte fuel cell or proton exchange membrane fuel cell (PEMFC) system is presented by R.F Mann et al. to predict the output voltage of a single Ballard Mark V cell as a function of the major variables like current density, pressure of the reactant gases and working temperature more efficiently (Mann et al. 2000). But this model cannot explain the behavior of the voltage at high current densities as well as the other ranges. In this research a new term that account for mass transfer losses is added to compensate the precision of the model particularity at high current densities. Using this model, the power density of a Ballard Mark V fuel cell system that consists of 35 cells is optimized by a hybrid optimization algorithm base on genetic algorithm and a gradient base algorithm that shows very good performance to reach the exact optimum point.

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