Performance evaluation of fuel cell fed electric vehicle system with reconfigured quadratic boost converter

The performance evaluation of 1.26 kW fuel cell fed electric vehicle system with reconfigured Quadratic Boost Converter along with the neural network based maximum power point tracking algorithm is presented in this paper. The acceptance of EV in modern society is relevant for the creation of pollution free environment. The main reason for creation of excessive pollution is transportation by the mode of roadways, with the own internal combustion engines by using crude oil as primary energy source. In this paper, a 1.26 kW Proton Exchange Membrane Fuel Cell (PEMFC) fed electric vehicle is designed in MATLAB/Simulink environment. To integrate PEMFC to brushless DC (BLDC) motor are configured Quadratic Boost Converter is designed for high static converter voltage gain. The performance of the proposed EV system is analysed with perturb and observer method and neural network based MPPT control techniques and obtained results are compared at different fuel cell input temperature conditions with respect to different time periods. (c) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

Automated summary

This paper presents the performance evaluation of a fuel cell powered electric vehicle system using a reconfigured Quadratic Boost Converter and neural network algorithm for maximum power point tracking. The study highlights the importance of electric vehicles in modern society for creating a pollution-free environment. The results show that integration of fuel cells in electric vehicles can lead to improved efficiency and reduced pollution in transportation.