Parameter identification of PEMFC model based on hybrid adaptive differential evolution algorithm

In this paper, a HADE (hybrid adaptive differential evolution) algorithm is proposed for the identification problem of PEMFC (proton exchange membrane fuel cell). Inspired by biological genetic strategy, a novel adaptive scaling factor and a dynamic crossover probability are presented to improve the...

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Veröffentlicht in:Energy (Oxford) Jg. 90; S. 1334 - 1341
Hauptverfasser: Sun, Zhe, Wang, Ning, Bi, Yunrui, Srinivasan, Dipti
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.10.2015
Schlagworte:
algorithms
bees
foraging
fuel cells
Hybrid adaptive DE algorithm
Parameter identification
probability
Proton exchange membrane fuel cell (PEMFC)
Parameter identification
Hybrid adaptive DE algorithm
Proton exchange membrane fuel cell (PEMFC)
ISSN:0360-5442
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Zusammenfassung:In this paper, a HADE (hybrid adaptive differential evolution) algorithm is proposed for the identification problem of PEMFC (proton exchange membrane fuel cell). Inspired by biological genetic strategy, a novel adaptive scaling factor and a dynamic crossover probability are presented to improve the adaptive and dynamic performance of differential evolution algorithm. Moreover, two kinds of neighborhood search operations based on the bee colony foraging mechanism are introduced for enhancing local search efficiency. Through testing the benchmark functions, the proposed algorithm exhibits better performance in convergent accuracy and speed. Finally, the HADE algorithm is applied to identify the nonlinear parameters of PEMFC stack model. Through experimental comparison with other identified methods, the PEMFC model based on the HADE algorithm shows better performance. •We propose a hybrid adaptive differential evolution algorithm (HADE).•The search efficiency is enhanced in low and high dimension search space.•The effectiveness is confirmed by testing benchmark functions.•The identification of the PEMFC model is conducted by adopting HADE.
Bibliographie:ObjectType-Article-1
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ISSN:0360-5442
DOI:10.1016/j.energy.2015.06.081