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Collaborative design of multi-type parameters for design and operational stage matching in fuel cells

Qinwen Yang, Gang Xiao, Lexi Li, Mengjie Che, Xu-Qu Hu and Min Meng

Renewable Energy, 2021, vol. 175, issue C, 1101-1110

Abstract: A collaborative design method for multi-types of graphite end plates geometric parameters, membrane electrolyte assembly physical parameters, and operating parameters, was novelly developed to break bounds of parameter types for design stage and operational stage matching in fuel cells. A multi-step design method, assisted by a surrogate-assisted hierarchical particle swarm optimization algorithm, was used for the optimal design of multi-type parameters. During this multi-step design process, the initial experiments are implemented following the design of experiments, and further experiments are adaptively carried out under the guidance of the layered optimization method. Experimental evidence of cell performance response to the coupled effects of multi-parameters was firstly provided and discussed in details. The collaborative design of multi-type parameters realized using the proposed multi-step design method was proven to improve the energy conversion efficiency by 10.9%. Different performance requirements, from single to multiple objectives in various types of fuel cells, were also shown to be fulfilled using this collaborative design method.

Keywords: Fuel cell performance; Energy conversion; Collaborative design; Multi-type parameters; Efficiency improvement (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:175:y:2021:i:c:p:1101-1110

DOI: 10.1016/j.renene.2021.04.142

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