Two Models of DMFC under Effects of Cathode Humidification Temperature and Anode Flow Rate

This paper introduced a novel self-adjustment of parameters of fuzzy neural net works.Then,the effects of cathode humidification temperature and anode flow rate on the performance of direct meth anol fuel cell(DMFC) were described respectively.Two dynamic performance models of DMFC under the influences of cat hode humidification temperature and anode flow rate were established separately based on fuzzy neural networks.The simula tion results show the accuracy of the models established is satisfactory.