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<p>Charging of Electric Vehicles (EVs) is a key pillar of sustainable mobility and intelligent energy management, particularly in Vehicle-to-Home (V2H) systems that enable bidirectional power sharing between EVs and the home. However, conventional EV battery charger design faces numerous challenges, including high inrush currents, low power factor, slow charging rates, DC-side voltage transients, and high total harmonic distortion (THD) on the AC side. These challenges result in less energy-efficient systems, reduced stability, and inefficient or impossible interaction with grid power. This study introduces an intelligent V2H charger architecture that employs a state-of-the-art Artificial Neural Network (ANN)-based controller, a dual-loop regulation design, and a novel Harmonic-Aware Squeeze–Excitation (HASE) layer to enhance performance. The system also uses an adjustable boost DC–DC converter for variable-voltage regulation and a Neutral Point–Switching Filter Compensator (NP-SFC) for harmonic mitigation and power factor correction. This work proposes an ANN controller implemented and validated in MATLAB/Simulink. The study also summarizes the comparative studies of the proposed controller with PID control strategies for V2H. The results obtained indicate that settling time has improved by up to 88%, voltage overshoot has decreased by 27.4%, and THD has reduced by 34.6%. In addition, inrush current decreased by 23.5%, and the power factor increased to 0.99. Overall, these results confirm that the proposed ANN + HASE controller exhibits faster dynamic response, improved power quality, and superior energy efficiency compared with PID and other baseline methods. The outcomes of the proposed research have high potential to advance efficient V2H-enabled energy systems, thereby contributing to the global Sustainable Development Goals (SDGs) and the Saudi Vision 2030 agenda by promoting clean energy, resilient infrastructure, and sustainable communities.</p>

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Artificial Neural Network-based harmonic mitigation in sustainable vehicle-to-home charging systems

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月31日

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  • Muhammad Zubair,
  • Ijaz Manzoor,
  • Muhammad Shahid,
  • Khawaja Adeel Tariq,
  • Muhammad Yasir Jamal,
  • Aashir Waleed

摘要

Charging of Electric Vehicles (EVs) is a key pillar of sustainable mobility and intelligent energy management, particularly in Vehicle-to-Home (V2H) systems that enable bidirectional power sharing between EVs and the home. However, conventional EV battery charger design faces numerous challenges, including high inrush currents, low power factor, slow charging rates, DC-side voltage transients, and high total harmonic distortion (THD) on the AC side. These challenges result in less energy-efficient systems, reduced stability, and inefficient or impossible interaction with grid power. This study introduces an intelligent V2H charger architecture that employs a state-of-the-art Artificial Neural Network (ANN)-based controller, a dual-loop regulation design, and a novel Harmonic-Aware Squeeze–Excitation (HASE) layer to enhance performance. The system also uses an adjustable boost DC–DC converter for variable-voltage regulation and a Neutral Point–Switching Filter Compensator (NP-SFC) for harmonic mitigation and power factor correction. This work proposes an ANN controller implemented and validated in MATLAB/Simulink. The study also summarizes the comparative studies of the proposed controller with PID control strategies for V2H. The results obtained indicate that settling time has improved by up to 88%, voltage overshoot has decreased by 27.4%, and THD has reduced by 34.6%. In addition, inrush current decreased by 23.5%, and the power factor increased to 0.99. Overall, these results confirm that the proposed ANN + HASE controller exhibits faster dynamic response, improved power quality, and superior energy efficiency compared with PID and other baseline methods. The outcomes of the proposed research have high potential to advance efficient V2H-enabled energy systems, thereby contributing to the global Sustainable Development Goals (SDGs) and the Saudi Vision 2030 agenda by promoting clean energy, resilient infrastructure, and sustainable communities.