Smart Charging Strategy for Electric Vehicles Using an Optimized Fuzzy Logic System

The increasing growth of electric vehicles (EVs) may arise as a challenge of increasing the load. Therefore, energy management in microgrids, including renewable energy resources such as PV systems, would be essential. Moreover, providing a smart charging pattern can optimize the overall cost of energy in a microgrid. In this paper, a genetic algorithm-based optimized fuzzy technique is developed, which has simple implementation such as rule-based methods and provides the optimal operation. The proposed scheme is simulated in MATLAB/Simulink environment for a case study. Results show the effectiveness of the proposed approach in comparison to conventional models.