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Energy-efficient and reliable dual closed-loop DC control system for intelligent electric vehicle charging infrastructure

Author

Listed:
  • Jun Li
  • Wan Chen
  • Xiaoqiong Zhu
  • Baoguo Zang
  • Cong Zhang
  • Hengxiao Hu
  • Ming Zhang
  • Wenbao Lei

Abstract

This study presents an innovative dual closed-loop DC control system for intelligent electric vehicle (EV) charging infrastructure, designed to address the challenges of high power factor, low harmonic pollution, and high efficiency in EV charging applications. The research implements a three-level Pulse Width Modulation (PWM) rectifier with a diode-clamped topology and Insulated-Gate Bipolar Transistors (IGBTs), achieving a power factor of 0.99, a total harmonic distortion (THD) of 1.12%, and an efficiency of 95% through rigorous simulation. These results surpass those of wireless charging technology and bidirectional DC–DC converters, demonstrating the system’s superiority in key performance metrics. The dual closed-loop strategy, integrating a current inner loop and a voltage outer loop, ensures rapid response and high steady-state accuracy, with the PI regulator effectively managing phase coupling for balanced power flow. The voltage outer loop’s stability is critical for the system’s reliable operation. The study also discusses the challenges in the dynamic variation of midpoint source current and proposes future work to increase the system’s switching frequency, improve anti-interference capabilities, and enhance the accuracy of the sampling process. Advanced computational intelligence and optimization techniques are highlighted as essential for tackling the complex challenges of modern EV charging systems. The study contributes to the development of efficient, secure technology for the next generation of wireless networks and power systems, providing a robust empirical basis for the proposed control strategies through MATLAB/Simulink simulations. This research sets a solid foundation for the performance assessment of EV charging systems, offering high-performance, environmentally friendly, and economically viable solutions for sustainable transportation.

Suggested Citation

  • Jun Li & Wan Chen & Xiaoqiong Zhu & Baoguo Zang & Cong Zhang & Hengxiao Hu & Ming Zhang & Wenbao Lei, 2024. "Energy-efficient and reliable dual closed-loop DC control system for intelligent electric vehicle charging infrastructure," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-22, December.
    • Handle: RePEc:plo:pone00:0315363
    DOI: 10.1371/journal.pone.0315363
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    References listed on IDEAS

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    1. Quddus, Md Abdul & Kabli, Mohannad & Marufuzzaman, Mohammad, 2019. "Modeling electric vehicle charging station expansion with an integration of renewable energy and Vehicle-to-Grid sources," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 251-279.
    2. Chitchai Srithapon & Prasanta Ghosh & Apirat Siritaratiwat & Rongrit Chatthaworn, 2020. "Optimization of Electric Vehicle Charging Scheduling in Urban Village Networks Considering Energy Arbitrage and Distribution Cost," Energies, MDPI, vol. 13(2), pages 1-20, January.
    3. Marco Pasetti & Stefano Rinaldi & Alessandra Flammini & Michela Longo & Federica Foiadelli, 2019. "Assessment of Electric Vehicle Charging Costs in Presence of Distributed Photovoltaic Generation and Variable Electricity Tariffs," Energies, MDPI, vol. 12(3), pages 1-20, February.
    4. Hassan S. Hayajneh & Xuewei Zhang, 2019. "Evaluation of Electric Vehicle Charging Station Network Planning via a Co-Evolution Approach," Energies, MDPI, vol. 13(1), pages 1-11, December.
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