This chapter presents a control system for electric vehicle (EV) charging stations in a microgrid with solar generation utilizing fuzzy logic algorithms to manage uncertainties in EV demands and grid constraints. Core to the system is the calculation of a charging weight index (CWI) for each EV, considering parameters like battery charge level, charging power, and available charging time. By optimizing energy distribution, the system reduces consumption during peak hours. The chapter details the mechanism of distributing charging power, the formation of membership functions, and the integration of solar generation forecasts. It discusses technical specifications for Nissan Leaf EVs and provides extensive fuzzy rule sets and defuzzification methods. Constraints such as power limits, bus current, voltage limits, and electricity prices are factored in. A situational real-time control algorithm is introduced, enabling dynamic adjustments based on grid conditions and charging priorities, with a flowchart illustrating the operational steps. The chapter underlines the significance of optimizing EV charging by balancing grid constraints and user needs.