Hybrid DC-DC Converter with Artificial Intelligence based MPPT Algorithm for FC-EV

Abstract

This manuscript covers the use of a Brushless DC Motor (BLDC) based on a fuel cell in an electric vehicle with a hybrid DC-DC converter with artificial intelligence-based Maximum Power Point (MPP) Tracking. The Boost converter and Cuk converter input stages are integrated in this study to produce a high step-up hybrid boost converter. Only one switch is required in the proposed topology, which decreases voltage stress across the diodes. The converter's overall efficiency increased because the voltage across the switch, diode, and capacitor voltage is less than the output voltage. A new Radial Basis Function Network (RBFN) based MPPT approach is developed for fuel cells based electric vehicles to extract maximum power at ambient temperatures. Computer software programme MATLAB/SIMULINK is used to evaluate the Fuel Cell (FC) fed electric vehicle system.