Multi-objective optimization on multi-layer configuration of cathode electrode for polymer electrolyte fuel cells via computational-intelligence-aided design and engineering framework

Yi Chen, Bei Peng

    Research output: Contribution to journalArticlepeer-review

    13 Citations (Scopus)

    Abstract

    Polymer electrolyte fuel cells (PEFCs) have attracted considerable interest within the research community due to the increasing demands for renewable energy. Within the PEFCs' many components, a cathode electrode plays a primary function in the operation of the cell. Here, a computational-intelligence-aided design and engineering (CIAD/CIAE) framework with potential cross-disciplinary applications is proposed to minimize the over-potential difference η and improve the overall efficiency of PEFCs. A newly developed swarm dolphin algorithm is embedded in a computational-intelligence-integrated solver to optimize a triple-layer cathode electrode model. The simulation results demonstrate the potential application of the proposed CIAD/CIAE framework in the design automation and optimization of PEFCs.
    Original languageEnglish
    Pages (from-to)357-371
    Number of pages15
    JournalApplied Soft Computing
    Volume43
    Early online date27 Feb 2016
    DOIs
    Publication statusPublished - Jun 2016

    Keywords

    • CIAD
    • CIAE
    • polymer electrolyte fuel cells

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