Main Article Content
Abstract
Owing to the strong and powerful directives on the release of carbon gas into the atmosphere and limited reserves of fossil fuels, Fuel Cell Electric Vehicles (FCEVs) has become a promising solution in the automobile industry. In this article, a neural-fuzzy framework bound MPPT controller is represented on 1.26kW PEM fuel cell prototype that is widely accustomed in electric vehicle usages. So as to draw the optimal power, we require a high voltage gain step-up converter that acts as an interface linking the PEM fuel cell model following Brushless DC motor. The power cycle of the propounded converter can be regulated with the neural fuzzy reference model, and hereby the optimal power then supplied to Brushless DC motor. And the behavior of the suggested controller is trailed to extending trivial running constraints in conjunction with abrupt shifts in the transposition of the fuel cell. Besides this, to inspect the efficacy and trailing behavior of the propounded controller, the outcomes were collated with those prevailed with the Radial Basis Function Network backed MPP Tracking controller in MATLAB/Simulink Platform.