Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm
TLDR
An improved version of seagull optimization algorithm for optimal parameter identification of the PEMFC stacks is presented and results show the algorithm’s superiority in terms of the solutions quality and the convergence speed.About:
This article is published in Energy Reports.The article was published on 2019-11-01 and is currently open access. It has received 138 citations till now.read more
Citations
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Journal ArticleDOI
Optimal parameter identification of PEMFC stacks using Adaptive Sparrow Search Algorithm
Yanlong Zhu,Nasser Yousefi +1 more
TL;DR: The proposed ASSA is utilized for minimizing the sum of squared error (SSE) between the empirical stack voltage and the calculated stack voltage by optimal selection of the mentioned parameters in the PEMFC stack.
Journal ArticleDOI
A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm
TL;DR: A newly developed model of the Sunflower Optimization Algorithm (DSFO) is proposed for minimizing the sum of squared error (SSE) value between the estimated and the actual output voltage of the PEMFC stack.
Journal ArticleDOI
Multi-objective optimization for the proper selection of the best heat pump technology in a fuel cell-heat pump micro-CHP system
TL;DR: In this article, a multi-objective technique has been proposed for optimal analysis of three different candidate heat pump solutions including the vapor compression cycle (VCC), trans-critical R744 cycle, and Peltier device to determine which one gives the best configuration and better performance on a hybrid heat pump and fuel cell-based micro-CHP system.
Journal ArticleDOI
Parameters extraction of PEMFC's model using manta rays foraging optimizer
Journal ArticleDOI
Effective Parameter Extraction of Different Polymer Electrolyte Membrane Fuel Cell Stack Models Using a Modified Artificial Ecosystem Optimization Algorithm
Ahmed S. Menesy,Hamdy M. Sultan,Ahmed Korashy,Fahd A. Banakhr,Mohamed G. Ashmawy,Salah Kamel +5 more
TL;DR: The proposed Modified Artificial Ecosystem Optimization (MAEO) algorithm is used to enhance the performance of conventional AEO and provide faster convergence rate as well as to be far away from falling into the local optima.
References
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Proceedings ArticleDOI
On genetic algorithms
TL;DR: C Culling is near optimal for this problem, highly noise tolerant, and the best known a~~roach in some regimes, and some new large deviation bounds on this submartingale enable us to determine the running time of the algorithm.
Book
Fuel cell systems explained
James Larminie,Andrew Dicks +1 more
TL;DR: In this paper, the first edition of this paper, the authors presented an analysis of fuel cell systems and their performance in terms of Molar Gibbs Free Energy Calculations (GFE) and Open Circuit Voltage.
Journal ArticleDOI
Polymer Electrolyte Fuel Cell Model
TL;DR: In this paper, an isothermal, one-dimensional, steady-state model for a complete polymer electrolyte fuel cell (PEFC) with a 117 Nation | membrane is presented, which predicts an increase in membrane resistance with increased current density and demonstrates the great advantage of a thinner membrane in alleviating this resistance problem.