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Driving towards Sustainability: Wireless Charging of Low-Speed Vehicles with PDM-Based Active Bridge Rectifiers

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  • Yuvaraja Shanmugam

    (Wireless Charging Research Centre, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India)

  • Narayanamoorthi Rajamanickam

    (Wireless Charging Research Centre, Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India)

  • Roobaea Alroobaea

    (Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Abdulkareem Afandi

    (General Subject Department, University of Business and Technology, Jeddah 23435, Saudi Arabia)

Abstract

The surge in demand for eco-friendly transportation and electric vehicle (EV) charging infrastructure necessitates innovative solutions. This study proposed a novel approach to charging slow-moving vehicles, prioritizing efficiency and minimizing output pulsation. Central to the research is the development of a receiver-side power-regulated constant charging system, focusing on power regulation and maintaining consistent charging parameters. This system integrates a receiver-side pulse density-modulated active bridge rectifier, dynamically adjusting driving pulse density to regulate delivered power. Additionally, a receiver-side reconfigurable compensation network ensures constant current and voltage delivery to the charging device, eliminating the need for an additional D.C.-D.C. converter. A 3.3 kW charging structure employing a multi-leg inverter topology and energizing four ground-side transmitter pads exemplifies the proposed approach. The vertical air gap of charging pads is 150 mm, and the system achieves a maximal efficiency of 93.4%. This innovative strategy holds significant promise for advancing sustainable transportation infrastructure and meeting the evolving demands of the EV market.

Suggested Citation

  • Yuvaraja Shanmugam & Narayanamoorthi Rajamanickam & Roobaea Alroobaea & Abdulkareem Afandi, 2024. "Driving towards Sustainability: Wireless Charging of Low-Speed Vehicles with PDM-Based Active Bridge Rectifiers," Sustainability, MDPI, vol. 16(9), pages 1-24, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3810-:d:1387580
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    References listed on IDEAS

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    1. Liangxi He & Xiaoqiang Wang & Chi-Kwan Lee, 2023. "A Study and Implementation of Inductive Power Transfer System Using Hybrid Control Strategy for CC-CV Battery Charging," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    2. Bozhi & Mahmoud Mohamed & Vahid Najafi Moghaddam Gilani & Ayesha Amjad & Mohammed Sh. Majid & Khalid Yahya & Mohamed Salem, 2023. "A Review of Wireless Pavement System Based on the Inductive Power Transfer in Electric Vehicles," Sustainability, MDPI, vol. 15(20), pages 1-20, October.
    3. Zhang, Xizheng & Wang, Zeyu & Lu, Zhangyu, 2022. "Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm," Applied Energy, Elsevier, vol. 306(PA).
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