Boosting Electric Vehicle Charging Performance with Hybrid and Intelligent Methods

Abstract

Electric vehicles (EVs) are becoming a vital part of modern transportation, demanding efficient and intelligent charging strategies to meet growing energy and environmental challenges. This study proposes a hybrid EV charging system that combines renewable energy sources, battery storage, and grid power, managed intelligently using a Fuzzy Logic Controller (FLC). The proposed FLC-based system dynamically adjusts charging power according to factors such as the vehicle’s state of charge (SoC), grid load, energy price, and renewable energy availability. By applying fuzzy inference, the controller effectively handles uncertainties, non-linearities, and real-time variations in energy supply and demand, ensuring smooth and optimal charging performance. The integration of hybrid energy sources with intelligent fuzzy control enhances system flexibility, reduces grid dependency, and increases renewable energy utilization. Simulation and analysis results show that the proposed method significantly improves charging efficiency, minimizes energy losses, and shortens charging time while maintaining system stability and battery safety. Overall, this hybrid intelligent approach  demonstrates a reliable and sustainable pathway to boost EV charging performance, supporting the development of smart and eco-friendly transportation infrastructure. The proposed strategy is validated through simulation using MATLAB 2021a /Simulink software.