Model and Operation Optimization of PEMFC Based on AFPSO

In order to obtain the optimal operating conditions for the maximum output power of proton exchange membrane fuel cell (PEMFC), a PEMFC mechanism model was developed with Matlab. Adaptive focusing particle swarm optimization (AFPSO) which had preferable ability of global search and search rate was proposed to estimate the parameters in this model. The comparison between experimental results and simulation results demonstrates that AFPSO can make the simulation results fitted the experiment data with higher precision and has manifest superiority for estimating the model parameters. Furthermore, AFPSO was used to search the optimal operating conditions of PEMFC. Compared with the experimental results, the validity of AFPSO was further proved. Hence AFPSO achieves significant effect for optimizing the model parameters and improving the output performance of PEMFC.