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PEM fuel cell modeling using differential evolution
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DOI：10.1016/j.energy.2012.01.039.png)
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Abstract
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This paper develops a differential-evolution-based solution for the problem of proton exchange membrane fuel cell stack modeling. The problem is analytically intractable and computationally hard. The present paper produces results that outperform state-of-the-art approaches on three performance metrics: solution quality corresponding to a given cost, cost of finding a solution of a given quality, and frequency of producing an optimal or near-optimal solution. (C) 2012 Elsevier Ltd. All rights reserved.
Keywords:
Proton exchange membrane fuel cell
PEMFC stack
Differential evolution
Genetic algorithm
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