ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
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    Next Generation Of Solar Grid EV Coordination Powered By Fuzzy Logic Intelligence And Reconfigurable Converter Control.

    Bommakanti Poojitha, K. Ranjith Kumar

    Author

    ID: 3592

    DOI: Https://doi.org/10.64771/ijesat.2026.v26.i7.3592

    Abstract :

    Global Electric Vehicle (EV) Sales Exceeded 17 Million Units In 2024, Accounting For More Than 20% Of New Passenger Vehicle Sales Worldwide, While Renewable Energy-based Charging Infrastructure Continues To Expand To Reduce Carbon Emissions And Grid Dependency. However, The Intermittent Nature Of Solar Photovoltaic (PV) Generation And The Increasing Charging Demand Create Significant Challenges In Maintaining Stable, Efficient, And Reliable Power Management In EV Charging Stations. Solarintegrated EV Charging Systems Are Increasingly Deployed In Residential Communities, Commercial Parking Facilities, Workplaces, Highways, Public Charging Stations, And Smart Grid Applications, Where Intelligent Coordination Among Renewable Energy Sources, Battery Storage, And The Utility Grid Is Essential For Uninterrupted Charging And Enhanced Energy Utilization. Existing Coordinated Control And Power Flow Management Strategies Effectively Enable Bidirectional Power Exchange Among The PV Array, Battery Energy Storage System, And Utility Grid; However, They Primarily Rely On Fixed Rule-based Control And Instantaneous Measurements, Resulting In Limited Adaptability To Dynamic Solar Irradiance, Battery Conditions, And Load Variations. To Address These Limitations, This Work Proposes A Predictive Fuzzy Logic Controlled Coordinated Control And Power Flow Management Strategy (PFLC-CC-PFMS) For A Solar-powered Bidirectional EV Charging System. The Proposed Framework Integrates A Predictive State Forecaster With A Fuzzy Logic Inference Engine To Anticipate Future Photovoltaic Generation, Battery Current, DC-link Voltage, And Converter Operating Conditions Before Determining Optimal Control Actions. The Predictive Fuzzy Controller Coordinates The PV Boost Converter, Phase-shifted Full-bridge Converter, And Totem-Pole PFC Converter To Achieve Adaptive Power Balancing, Intelligent Battery Charging And Discharging, Stable DC-link Voltage Regulation, Optimized Converter Switching, And Seamless Bidirectional Power Flow Among The PV Array, Battery Storage System, And Utility Grid. Consequently, The Proposed PFLC-CC-PFMS Enhances Renewable Energy Utilization, Reduces Converter Losses, Improves Charging Efficiency, Strengthens Grid Support Capability, And Provides Reliable, Stable, And Energy-efficient EV Charging Under Dynamically Changing Environmental And Loading Conditions.

    Published:

    21-7-2026

    Issue:

    Vol. 26 No. 7 (2026)


    Page Nos:

    965-984


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    Bommakanti Poojitha, K. Ranjith Kumar, Next Generation of Solar Grid EV Coordination Powered by Fuzzy Logic Intelligence and Reconfigurable Converter Control. , 2026, International Journal of Engineering Sciences and Advanced Technology, 26(7), Page 965-984, ISSN No: 2250-3676.

    DOI: https://doi.org/10.64771/ijesat.2026.v26.i7.3592