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 language | English |
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Pages (from-to) | 357-371 |
Number of pages | 15 |
Journal | Applied Soft Computing |
Volume | 43 |
Early online date | 27 Feb 2016 |
DOIs | |
Publication status | Published - Jun 2016 |
Keywords
- CIAD
- CIAE
- polymer electrolyte fuel cells