VEHICLE TO GRID POWER EXCHANGE OPTIMIZATION USING ADAPTIVE ALGORITHM

This paper presents the design and implementation of a wireless bidirectional electric vehicle charging system integrated with an adaptive Vehicle-to-Grid (V2G) optimization algorithm. The proposed system eliminates conventional wired charging and enables efficient wireless power transfer using inductive coupling. A high-frequency AC signal is generated using a boost converter and amplifier, which is transmitted through transmitter and receiver coils. The system supports bidirectional power flow, allowing energy exchange between the electric vehicle and the grid based on real-time demand. The adaptive algorithm dynamically controls charging and discharging operations to reduce peak load, improve grid stability, and enhance overall efficiency. Simulation and experimental results demonstrate the effectiveness of the proposed system in achieving reliable wireless power transfer and intelligent energy management.