PV, Wind powered Electric Vehicle Charging Station with Fuzzy and Perturb & Observe MPPT Control

Electric vehicle charging stations that include renewable energy sources have drawn a lot ofinterest as a sustainable way to cut greenhouse gas emissions and fulfill the world's expanding energyneeds. This paper presents the design and analysis of a hybrid renewable energy-based EV chargingstation powered by PV and wind energy systems. The proposed system employs a dual MPPTstrategy: Fuzzy Logic Controller (FLC) for PV units and the Perturb and Observe (P&O) techniquefor wind turbines, ensuring optimal power extraction under varying environmental conditions. Adetailed performance evaluation highlights the reliability, efficiency, and adaptability of the system.Simulation results demonstrate the system’s ability to handle partial shading conditions, wind speedvariations, and dynamic EV charging demands. The combination of FLC and P&O significantlyenhances tracking accuracy and response time compared to traditional methods. This studyunderscores the feasibility of renewable energy-powered EV charging stations as a robust, ecofriendly alternative to grid-dependent systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-01
DOI
https://doi.org/10.5281/zenodo.14878992
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

PV, Wind powered Electric Vehicle Charging Station with Fuzzy and Perturb & Observe MPPT Control

Zenodo (CERN European Organization for Nuclear Research)
Electric Vehicles and Infrastructure
article

PV, Wind powered Electric Vehicle Charging Station with Fuzzy and Perturb & Observe MPPT Control

article en

Abstract

Electric vehicle charging stations that include renewable energy sources have drawn a lot ofinterest as a sustainable way to cut greenhouse gas emissions and fulfill the world's expanding energyneeds. This paper presents the design and analysis of a hybrid renewable energy-based EV chargingstation powered by PV and wind energy systems. The proposed system employs a dual MPPTstrategy: Fuzzy Logic Controller (FLC) for PV units and the Perturb and Observe (P&O) techniquefor wind turbines, ensuring optimal power extraction under varying environmental conditions. Adetailed performance evaluation highlights the reliability, efficiency, and adaptability of the system.Simulation results demonstrate the system’s ability to handle partial shading conditions, wind speedvariations, and dynamic EV charging demands. The combination of FLC and P&O significantlyenhances tracking accuracy and response time compared to traditional methods. This studyunderscores the feasibility of renewable energy-powered EV charging stations as a robust, ecofriendly alternative to grid-dependent systems.

Zenodo (CERN European Organization for Nuclear Research)
Next Generation Technology (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 67%
Electric Vehicles and Infrastructure
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