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Proton Exchange Membrane Fuel Cell Modeling Based on Seeker Optimization Algorithm |
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| Authors: | LI Qi DAI Chao-hua Chen Wei-rong JIA Jun-bo HAN Ming |
| Affiliation: | 1. School of Electric Engineering, Southwest Jiaotong University, Chengdu 610031, China;School of Engineering, Temasek Polytechnic, Singapore 529757 2. School of Electric Engineering, Southwest Jiaotong University, Chengdu 610031, China 3. School of Engineering, Temasek Polytechnic, Singapore 529757;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798 4. School of Engineering, Temasek Polytechnic, Singapore 529757 |
| Abstract: | Seeker optimization algorithm (SOA) has applications in continuous space of swarm intelligence. In the fields of proton ex-change membrane fuel cell (PEMFC) modeling, SOA was proposed to research a set of optimized parameters in PEMFC polariza-tion curve model. Experimental result showed that the mean square error of the optimization modeling strategy was only 6.9 × 10-23. Hence, the optimization model could fit the experiment data with high precision. |
| Keywords: | PEMFC modeling Seeker optimization algorithm Parameter optimization |
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