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Communication Dans Un Congrès Année : 2022

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

Résumé

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 energyin 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. Theproposed scheme is simulated in MATLAB/Simulink environment for a case study. Results show theeffectiveness of the proposed approach in comparison to conventional models.
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Dates et versions

hal-03781187 , version 1 (20-09-2022)

Identifiants

  • HAL Id : hal-03781187 , version 1

Citer

Mehrdad Gholami, Majid Mehrasa, Reza Razi, Khaled Hajar, Ahmad Hably, et al.. Smart Charging Strategy for Electric Vehicles Using an Optimized Fuzzy Logic System. EPE'22-ECCE Europe - The 24th European Conference on Power Electronics and Applications, Sep 2022, Hannovre, Germany. ⟨hal-03781187⟩
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