Electric vehicles (EVs) are rapidly emerging as a cornerstone of sustainable mobility, yet their integration into modern power systems demands intelligent charging solutions. This chapter presents a comprehensive model for EV charging within a microgrid powered predominantly by solar generation. Using MATLAB/Simulink, a 24‑hour simulation scenario was developed where the charging control algorithm incorporates photovoltaic forecasting, grid constraints, and load variability. The method employs fuzzy logic and optimization to adaptively manage charging priorities, ensuring that both critical EVs and overall grid stability are maintained. Comparative assessments indicate that the proposed algorithm actively smooths power profiles, reduces peak overload incidences, and cuts energy consumption during high‐price periods by up to 20% relative to conventional approaches. These results confirm that integrating renewable forecasts within an intelligent control framework can optimize energy distribution and improve the reliability of EV charging systems.