Fuzzy Logic Control of Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) systems in a Single Phase Grid using MATLAB involves implementing an intelligent control strategy that utilizes fuzzy logic principles to manage the bidirectional flow of energy between electric vehicles and the power grid. Through MATLAB, the system incorporates fuzzy sets, linguistic variables, and rule-based decision-making to regulate the charging and discharging processes of electric vehicles connected to the grid. This control scheme ensures efficient utilization of energy resources, optimizes charging/discharging schedules based on user preferences and grid conditions, and mitigates grid instability issues. By dynamically adjusting charging rates and power flow directions based on real-time data, the fuzzy logic controller enhances the reliability and stability of the single-phase grid while supporting the integration of renewable energy sources and promoting sustainable transportation practices.