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This study introduces a Fuzzy logic approach for regulating power contributions from a fleet of Electric Vehicles (EVs) within a Vehicle-to-Grid (V2G) architecture. The proposed algorithm dynamically assesses the power contribution of each EV based on critical characteristics, including state of charge (SoC) and idle duration. The Fuzzy logic controller computes a “willingness percentage” for each EV, determining its involvement in V2G/G2V operations. The algorithm was executed and simulated in MATLAB to assess its effectiveness across five distinct scenarios, including excess PV power, PV power deficit, and uncertainties such as abrupt EV departures. Simulation results indicate that the Fuzzy logic controller smoothly adjusts to fluctuating conditions, facilitating efficient power balancing while optimizing renewable energy usage and reducing reliance on the grid.

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Fuzzy Logic-Based Power Sharing Strategy for V2G/G2V Operation for Multiple EVs

  • 会议论文

  • 发表日期：

    2026年

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  • Soumya Sathyan,
  • V. Ravikumar Pandi,
  • M. Vishnu,
  • Devika Sanil,
  • Surender Reddy Salkuti

摘要

This study introduces a Fuzzy logic approach for regulating power contributions from a fleet of Electric Vehicles (EVs) within a Vehicle-to-Grid (V2G) architecture. The proposed algorithm dynamically assesses the power contribution of each EV based on critical characteristics, including state of charge (SoC) and idle duration. The Fuzzy logic controller computes a “willingness percentage” for each EV, determining its involvement in V2G/G2V operations. The algorithm was executed and simulated in MATLAB to assess its effectiveness across five distinct scenarios, including excess PV power, PV power deficit, and uncertainties such as abrupt EV departures. Simulation results indicate that the Fuzzy logic controller smoothly adjusts to fluctuating conditions, facilitating efficient power balancing while optimizing renewable energy usage and reducing reliance on the grid.