Design of GWO based fuzzy MPPT controller for fuel cell fed EV application with high voltage gain DC-DC converter

Abstract

As of now, the world is focusing on Electric Vehicle (EV) technology in order to meet the future electricity demand. The fuel cell plays an important role in the EV system for supplying the electricity to the motor. However, the fuel cell gives nonlinear power versus current characteristics. As a result, the peak power supply to the motor is very difficult. In this regard, the Maximum Power Point Tracking (MPPT) controller is interconnected with the fuel cell system for finding the required working point of the proposed system. In this work, a Grey Wolf Controller (GWC) based fuzzy technique is proposed for extracting the peak power of the fuel stack. The features of proposed power point tracking technique are high reliability, good tracking speed, fast convergence, less number of iterations needed to find out the MPP location, high efficient, and good dynamic response. Here, another drawback of fuel cell is low supply voltage which is overcome by using the high voltage gain DC-DC Converter. The features of proposed converter are less current stress on power semiconductor devices, high load current sharing capability, high voltage gain, few load voltage ripples, and good voltage stability. The proposed fuel cell power generation system performance is investigated by utilizing the MATLAB/Simulink window.