Abstract The rapid increase in electric vehicle adoption and renewable energy integration has created significant challenges in power management, charging coordination, and grid stability. This paper proposes a hybrid Fuzzy-Particle Swarm Optimization-Model Predictive Control (FPSO-MPC) framework for solar-assisted EV charging stations. The proposed framework integrates day-ahead scheduling using MPC, real-time uncertainty management using FIS, and offline parameter optimization using PSO.