Fuzzy energy management in grid-connected PV-battery systems involves implementing a control strategy using fuzzy logic in MATLAB to optimize the utilization of solar photovoltaic (PV) energy and battery storage within a grid-connected setup. This method employs fuzzy logic to dynamically adjust the power flow between the PV system, battery storage, and the grid based on real-time conditions such as solar irradiance, battery state of charge, and electricity demand. By using fuzzy logic, the system can make decisions based on imprecise and uncertain inputs, allowing for efficient and adaptive energy management. The goal is to maximize self-consumption of solar energy, minimize grid dependency, and ensure stable operation of the system while meeting the user's energy needs and preferences. Through fuzzy energy management, the system aims to achieve improved energy efficiency, reduced electricity costs, and enhanced grid stability.