IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i9p3810-d1387580.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/9/3810/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/9/3810/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paulo M. De Oliveira-De Jesus & Jose M. Yusta, 2024. "Optimal Power Dispatch for Maximum Energy Community Welfare by Considering Closed Distribution Systems and Renewable Sources," Energies, MDPI, vol. 17(18), pages 1-21, September.
    2. Tan, Bifei & Lin, Zhenjia & Zheng, Xiaodong & Xiao, Fu & Wu, Qiuwei & Yan, Jinyue, 2023. "Distributionally robust energy management for multi-microgrids with grid-interactive EVs considering the multi-period coupling effect of user behaviors," Applied Energy, Elsevier, vol. 350(C).
    3. Li, Da & Zhang, Zhaosheng & Zhou, Litao & Liu, Peng & Wang, Zhenpo & Deng, Junjun, 2022. "Multi-time-step and multi-parameter prediction for real-world proton exchange membrane fuel cell vehicles (PEMFCVs) toward fault prognosis and energy consumption prediction," Applied Energy, Elsevier, vol. 325(C).
    4. Zhang, Y.Q. & Chen, J.J. & Wang, Y.X. & Feng, L., 2024. "Enhancing resilience of agricultural microgrid through electricity–heat–water based multi-energy hub considering irradiation intensity uncertainty," Renewable Energy, Elsevier, vol. 220(C).
    5. Jiankai Gao & Yang Li & Bin Wang & Haibo Wu, 2023. "Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm," Energies, MDPI, vol. 16(7), pages 1-21, April.
    6. Adetunji, Kayode E. & Hofsajer, Ivan W. & Abu-Mahfouz, Adnan M. & Cheng, Ling, 2022. "An optimization planning framework for allocating multiple distributed energy resources and electric vehicle charging stations in distribution networks," Applied Energy, Elsevier, vol. 322(C).
    7. Aghajan-Eshkevari, Saleh & Ameli, Mohammad Taghi & Azad, Sasan, 2023. "Optimal routing and power management of electric vehicles in coupled power distribution and transportation systems," Applied Energy, Elsevier, vol. 341(C).
    8. Zeng, Bo & Luo, Yangfan, 2022. "Potential of harnessing operational flexibility from public transport hubs to improve reliability and economic performance of urban multi-energy systems: A holistic assessment framework," Applied Energy, Elsevier, vol. 322(C).
    9. Yu, Shiwei & Zhou, Shuangshuang & Chen, Nan, 2024. "Multi-objective optimization of capacity and technology selection for provincial energy storage in China: The effects of peak-shifting and valley-filling," Applied Energy, Elsevier, vol. 355(C).
    10. Luo, Zhiqiang & Liu, Hui & Wang, Ni & Zhao, Teyang & Tian, Jiarui, 2024. "Optimal adaptive decentralized under-frequency load shedding for islanded smart distribution network considering wind power uncertainty," Applied Energy, Elsevier, vol. 365(C).
    11. Zhang, Chao & Yin, Wanjun & Wen, Tao, 2024. "An advanced multi-objective collaborative scheduling strategy for large scale EV charging and discharging connected to the predictable wind power grid," Energy, Elsevier, vol. 287(C).
    12. Zhang, Bin & Hu, Weihao & Xu, Xiao & Li, Tao & Zhang, Zhenyuan & Chen, Zhe, 2022. "Physical-model-free intelligent energy management for a grid-connected hybrid wind-microturbine-PV-EV energy system via deep reinforcement learning approach," Renewable Energy, Elsevier, vol. 200(C), pages 433-448.
    13. Hossein Karimkhan Zand & Kazem Mazlumi & Amir Bagheri & Hamed Hashemi-Dezaki, 2023. "Optimal Protection Scheme for Enhancing AC Microgrids Stability against Cascading Outages by Utilizing Events Scale Reduction Technique and Fuzzy Zero-Violation Clustering Algorithm," Sustainability, MDPI, vol. 15(21), pages 1-27, November.
    14. Asjad Ali & Abdullah Aftab & Muhammad Nadeem Akram & Shoaib Awan & Hafiz Abdul Muqeet & Zeeshan Ahmad Arfeen, 2024. "Residential Prosumer Energy Management System with Renewable Integration Considering Multi-Energy Storage and Demand Response," Sustainability, MDPI, vol. 16(5), pages 1-27, March.
    15. Zhou, Liwei & Preindl, Matthias, 2023. "Reconfigurable hybrid micro-grid with standardized power module for high performance energy conversion," Applied Energy, Elsevier, vol. 351(C).
    16. Manduleli Alfred Mquqwana & Senthil Krishnamurthy, 2024. "Particle Swarm Optimization for an Optimal Hybrid Renewable Energy Microgrid System under Uncertainty," Energies, MDPI, vol. 17(2), pages 1-21, January.
    17. Sheeraz Iqbal & Nahar F. Alshammari & Mokhtar Shouran & Jabir Massoud, 2024. "Smart and Sustainable Wireless Electric Vehicle Charging Strategy with Renewable Energy and Internet of Things Integration," Sustainability, MDPI, vol. 16(6), pages 1-25, March.
    18. Pabba Ramesh & Pongiannan Rakkiya Goundar Komarasamy & Narayanamoorthi Rajamanickam & Yahya Z. Alharthi & Ali Elrashidi & Waleed Nureldeen, 2024. "A Comprehensive Review on Control Technique and Socio-Economic Analysis for Sustainable Dynamic Wireless Charging Applications," Sustainability, MDPI, vol. 16(15), pages 1-42, July.
    19. Meng, Weiqi & Song, Dongran & Huang, Liansheng & Chen, Xiaojiao & Yang, Jian & Dong, Mi & Talaat, M., 2024. "A Bi-level optimization strategy for electric vehicle retailers based on robust pricing and hybrid demand response," Energy, Elsevier, vol. 289(C).
    20. Yao, Zhaosheng & Wang, Zhiyuan & Ran, Lun, 2023. "Smart charging and discharging of electric vehicles based on multi-objective robust optimization in smart cities," Applied Energy, Elsevier, vol. 343(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3810-:d:1387580. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.