PV-Fed Electric Vehicle Drive Architecture with Advanced X-Boost Converter and Chaotic Optimized Control

Abstract

The progression in Electric Vehicles (EVs) requires effective, reliable and maintainable power conversion system which is incorporated with Renewable Energy Sources (RESs) for eco-friendly charging. This research presents a hybrid energy system, with PV as primary source for energizing the Brushless DC motor (BLDC) of EV. The intermittent nature results with lower and fluctuated DC output boosted using a novel Extreme gain X-Boost converter. The converter shows higher power conversion with reduced stress and current ripples. The regulation of converter is performed using Proportional Integral (PI) controller with its parameters tuned using Chaotic Parrot Optimization Algorithm (CPOA), providing minimized overshoot, improved steady state error, faster convergences and enhanced settling time. In addition, battery and grid system is incorporated to power the BLDC motor at times of energy scarcity. The developed system is examined through MATLAB simulation under varying operating conditions of PV. The outcomes demonstrates improved converter efficiency of 96.16%, with higher voltage. Moreover, the controller offers reduced settling time of 0.3s with minimized overshoot. In addition, the Total Harmonic Distortion (THD) of the system lies below 5% indicating effective power quality based on IEEE standard limits. This shows that the proposed system offers suitability for EV charging with effective energy management.