An improved differential evolution optimization controller for enhancing the performance of PEM fuel cell powered electric vehicle system

Abstract

At present, the fuel cell is playing major role in the current automotive industry application. Also, the fuel cell have the features of good reliability, high flexibility, reduced demand for foreign oil, and enhanced environment quality. However, for each and every functioning temperature variation, the Fuel Cell (FC) gives different working peak power points on it nonlinear voltage versus current curves. In this article, an Improved Differential Evolutionary Optimization (DEO) method is included in the Fuzzy Logic Controller (FLC) to enhance the maximum power delivered by the fuel cell stack. Here, the main objective of the DEO technique is to optimize the membership functions of the fuel cell stack input and output variables. Due to the proper selection of membership functions, the proposed MPPT controller gives fast tracing speed, good accuracy, and high sustainability. Also, a high voltage gain, nonisolated dc-dc converter is proposed in this work to enhance the fuel cell output voltage and reduce the current flowing through the consumer loads. The properties of converter are less potential pressure across the switches, extensive output voltage functioning, low supply current ripples, and high supply voltage withstand capability.