Paper Publications
Optimization of ejector geometric parameters with Hybrid Artificial Fish Swarm Algorithm for PEM fuel cell
Release Time:2018-10-06
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Institution:
School of Control Science and Engineering
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Teaching and Research Group:
Injection theory and application laboratry
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Journal:
Chinese Automation Congress
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Place of Publication:
China
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Key Words:
PEM fuel cell; Geometric parameters; Optinization; Efficiency
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Summary:
An optimization method is proposed for the geometric parameters of an convergent nozzle ejector in the anode gas recirculation system in PEM fuel cell in this paper. The mathematical model of ejector is established by employing the hydrodynamics, thermodynamic principles and chemical constraints. An optimization method is applied based on hybrid fish swarm algorithm to optimize the geometry parameters of the ejector. The optimal values of four geometric parameters are obtained by comparing the results of the hybrid artificial fish swarm, the CFD simulation and the GA optimization algorithm.
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First Author:
白帅峰
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Correspondence Author:
Lei Wang
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All the Authors:
Wang Xinli
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Indexed by:
Journal paper
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Discipline:
Engineering
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First-Level Discipline:
Control Science and Engineering
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Document Type:
C
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Translation or Not:
No
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Date of Publication:
2018-05
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Included Journals:
EI
