MODELING AND SIMULATION OF A GRID-CONNECTED EV CHARGER WITH BUILT-IN V2G AND V2V FUNCTIONS USING FUZZY LOGIC CONTROL
Keywords:
Grid-connected EV charger, Vehicle-to-Grid (V2G), Vehicle-to-Vehicle (V2V), fuzzy logic controller, bidirectional energy transfer, smart grid integration, renewable energy.Abstract
This study rigorously develops and simulates a cutting-edge grid-connected charger for Electric Vehicles (EVs)
featuring integrated Vehicle-to-Grid (V2G) and Vehicle-to-Vehicle (V2V) energy transfer, driven by an advanced
fuzzy logic controller. Engineered within MATLAB/Simulink, the system incorporates a bidirectional DC-DC
converter and a voltage source converter (VSC), ensuring seamless energy management in both charging and
discharging operations. The fuzzy logic controller significantly enhances precision, mitigates harmonic distortion,
and accelerates dynamic responsiveness, guaranteeing exceptional power quality and minimal energy wastage. The
V2G capability enables bidirectional energy flow between EV batteries and the grid, bolstering grid stability during
peak load conditions. Concurrently, the V2V functionality facilitates direct energy exchange between vehicles,
strengthening the adaptability and resilience of EV ecosystems. Designed to support simultaneous V2G and V2V
operations, this robust system demonstrates unparalleled versatility, making it highly suitable for diverse energy
scenarios, including seamless integration with renewable energy sources. By prioritizing operational efficiency and
reliability, this innovative model addresses critical challenges in contemporary energy systems, presenting a
sustainable and forward-thinking solution for smart grid integration and the advancement of EV infrastructure. This
research sets a strong foundation for developing resilient, future-ready energy networks powered by intelligent
technologies.
