Optimization of ejector geometric parameters with Hybrid Artificial Fish Swarm Algorithm for PEM fuel cell

发布时间:2018-10-06|点击次数:

所属单位:控制科学与工程学院

论文名称:Optimization of ejector geometric parameters with Hybrid Artificial Fish Swarm Algorithm for PEM fuel cell

教研室:喷射理论与应用实验室

发表刊物:Chinese Automation Congress

刊物所在地:China

关键字:PEM fuel cell; Geometric parameters; Optinization; Efficiency

摘要: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.

全部作者:王新立

第一作者:白帅峰

论文类型:期刊论文

通讯作者:王雷

学科门类:工学

一级学科:控制科学与工程

文献类型:C

是否译文:否

发表时间:2018-05-01

收录刊物:EI