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<p>Electric Vehicles (EV) are considered as crucial elements in making changes towards power and transportation sector. Subsequently, the development fast charging infrastructure to support widespread adoption and efficient operation is required. To address the limitations, this research develops an EV fast charging system with the incorporation of a novel converter topology with optimization algorithms to improve power performance and effective management of energy. The voltage of Photovoltaic (PV) system is improved with the adoption of a high gain Z-source converter with switched topology resulting in improved system efficiency with lower switching stress. To improve the tracking performance of PV, the system uses hybrid Whale Optimization Algorithm (WOA) with Gray Relational Analysis (GRA) Maximum Power Point Tracking (MPPT) algorithm offering maximum performance irrespective of variation in environmental condition. In addition, the bidirectional converter with battery is incorporated supported by Proportional Integral (PI) controller for optimal charging and discharging. Moreover, to accomplish uninterrupted supply, grid is integrated via three phase Voltage Source Inverter (VSI). MATLAB simulation outcomes demonstrates that, the proposed converter together with hybrid MPPT provide effective charging, with increased efficiency of 96.85%, and tracking efficiency of 99.27% effectively, making the proposed system optimal for fast charging application.</p>

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Integration of fast charging EV infrastructure with high gain Z-source converters and hybrid optimized MPPT algorithm

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月16日

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  • R. Sathish,
  • V. Sekar

摘要

Electric Vehicles (EV) are considered as crucial elements in making changes towards power and transportation sector. Subsequently, the development fast charging infrastructure to support widespread adoption and efficient operation is required. To address the limitations, this research develops an EV fast charging system with the incorporation of a novel converter topology with optimization algorithms to improve power performance and effective management of energy. The voltage of Photovoltaic (PV) system is improved with the adoption of a high gain Z-source converter with switched topology resulting in improved system efficiency with lower switching stress. To improve the tracking performance of PV, the system uses hybrid Whale Optimization Algorithm (WOA) with Gray Relational Analysis (GRA) Maximum Power Point Tracking (MPPT) algorithm offering maximum performance irrespective of variation in environmental condition. In addition, the bidirectional converter with battery is incorporated supported by Proportional Integral (PI) controller for optimal charging and discharging. Moreover, to accomplish uninterrupted supply, grid is integrated via three phase Voltage Source Inverter (VSI). MATLAB simulation outcomes demonstrates that, the proposed converter together with hybrid MPPT provide effective charging, with increased efficiency of 96.85%, and tracking efficiency of 99.27% effectively, making the proposed system optimal for fast charging application.