Development and Validation of an Integrated EV Charging Station with Fuzzy Logic Controlled Grid-Interfacing Inverter for Residential Applications

This work proposes a new fuzzy logic controller-based grid-connected modular inverter for a residential integrated bidirectional charging station. By boosting the grid’s stability and offering buffering services, the technology is intended to sustain the electrical grid. The proposed arrangement consists of a modular, bidirectional inverter with EV charging capabilities. The system can operate in multiple modes, including EV battery charging and discharging, grid energy storage during low-demand times, and grid energy delivery during high-demand times. The development of a low-level control approach to regulate power flow between the EV battery, household load, and the grid is based on the droop control technique and feedforward decoupling, enhanced by fuzzy logic. The performance of the proposed system is assessed using MATLAB/Simulink software simulation experiments. The outcomes demonstrate how effectively the system integrates renewable energy sources and sustains the grid during periods of high demand. Increased reliability is also achieved through its backup power supply function during blackouts. An 87% charging efficiency with a 35% SoC and 6.3 kW of grid power is confirmed by an experimental validation conducted in a lab setting. With a 55% SoC, returning power to the grid produces an 8.6 kW AC output and an 8.77 kW battery input, resulting in a V2G efficiency of about 94%. The integration of fuzzy logic control enhances the system’s performance, making it a promising solution for intelligent and sustainable energy systems.