Master'sOpen Access

PV tabanlı araç şarj sisteminde yapay zeka kontrollü süper kapasitör kullanılığının incelenmesi

2025
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Advisor: Prof. Dr. Mehmet Ali Özçelik ; Dr. Öğr. Üyesi Zülfikar Aslan

Abstract (EN)

This study presents the design and implementation of power components for electric vehicles, with a focus on key elements, including a solar-powered charging station for in-vehicle energy storage. The system features an outdoor photovoltaic station specifically designed for the climate conditions of southern Türkiye, aiming to maximize solar energy and minimize dependence on the electrical grid. Internally, a hybrid energy system combines batteries and capacitors. Monitoring the internal system using AI-based methods helps detect faults early and speed up maintenance processes, enhancing performance and extending battery life. The study demonstrates remarkable results in integrating solar charging with a hybrid system, providing a specific path toward a high-performance wired and wireless network and providing a practical path towards clean and efficient transportation. Key Words: PV, Electric Vehicle, Hybrid Energy Storage Systems, Lithium-Ion Batteries, Supercapacitors, State Of Charge (SOC), KNN Neural Network, Ensemble Learning, State Of Health (SOH).

Author

Muhammed İkbal Kakeci

How to Cite

Muhammed İkbal Kakeci (Master Thesis). PV tabanlı araç şarj sisteminde yapay zeka kontrollü süper kapasitör kullanılığının incelenmesi, 2025, Gaziantep University.

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