Optimization of ejector geometric parameters with hybrid artificial fish swarm algorithm for PEM fuel cell

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. The performance of the ejector in the anode gas circulation system in the fuel cell can be improved, and then the efficiency of the anode gas cycle can also be improved.