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

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.

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Publication Details

Journal
PLoS ONE
Published
2024-12-16
DOI
https://doi.org/10.1371/journal.pone.0315363
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.20

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article

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

Xiaoqiong Zhu, Baoguo Zang, Wei‐Hua Lei, Cong Zhang et al.
1 citations
PLoS ONE
Advanced Battery Technologies Research
0.20
article

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

Xiaoqiong Zhu, Baoguo Zang, Wei‐Hua Lei, Cong Zhang, Ming Zhang, Junmin Li, Wan Chen, Hengxiao Hu
article en
1 citations

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.

PLoS ONEVol. 19(12)
SRM Institute of Science and Technology (IN), Huaiyin Institute of Technology (CN)
Huaiyin Institute of Technology
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Advanced Battery Technologies Research
0.20
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