Multi-objective optimization on multi-layer configuration of cathode electrode for polymer electrolyte fuel cells via computational-intelligence-aided design and engineering framework
Multi-objective optimization on multi-layer configuration of cathode electrode for polymer electrolyte fuel cells via computational-intelligence-aided design and engineering framework
复制标题
通过计算智能辅助设计和工程框架对聚合物电解质燃料电池阴极电极多层结构进行多目标优化
DOI：
10.1016/j.asoc.2016.02.045
复制
发表时间：
2016-06-01
影响因子：
8.7
通讯作者：
Peng, Bei
中科院分区：
文献类型：
--
作者：
Chen, Yi;Peng, Bei
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 eta 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. (C) 2016 Elsevier B.V. All rights reserved.
