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Electric vehicles (EVs) are vital for diminishing greenhouse gas emissions and reliance on fossil fuels, contributing to ecological and more viable transportation. It offers benefits in terms of energy efficiency, lower working costs compared to conventional internal combustion engine vehicles. As the global push toward greener technologies, optimizing EV power systems is vital for maximizing their effectiveness and adoption. In EV applications, the photovoltaic (PV) system has shown an significant solution for charging the vehicle’s battery utilizing renewable solar energy, although the PV output minimizes owing to the varying ecological conditions. Henceforth, this paper presents an advanced improved high gain Luo converter designed for PV system, which has an ability to attain significant step up by converting low voltage to higher level required for the EV battery. The converter’s performance is optimized using a Crow Search Algorithm (CSA) to enhance Maximum Power Point Tracking (MPPT). This approach improves efficiency and power delivery by dynamically adjusting the converter's operation in response to varying solar conditions. The validation of the proposed work is done with the aid of MATLAB/Simulink for proving the importance of the developed system. The proposed system achieves high conversion gain and efficiency, making the system more effective for PV-based EV power management.

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Improved High Gain DC–DC Luo Converter with Crow Search Algorithm-Based MPPT for EV Applications

  • 会议论文

  • 发表日期：

    2026年

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  • V. Balaji,
  • K. S. Kavin,
  • Pretty Mary Tom,
  • A. Darcy Gnana Jegha,
  • R. Senthil Rama,
  • K. Thangaraj

摘要

Electric vehicles (EVs) are vital for diminishing greenhouse gas emissions and reliance on fossil fuels, contributing to ecological and more viable transportation. It offers benefits in terms of energy efficiency, lower working costs compared to conventional internal combustion engine vehicles. As the global push toward greener technologies, optimizing EV power systems is vital for maximizing their effectiveness and adoption. In EV applications, the photovoltaic (PV) system has shown an significant solution for charging the vehicle’s battery utilizing renewable solar energy, although the PV output minimizes owing to the varying ecological conditions. Henceforth, this paper presents an advanced improved high gain Luo converter designed for PV system, which has an ability to attain significant step up by converting low voltage to higher level required for the EV battery. The converter’s performance is optimized using a Crow Search Algorithm (CSA) to enhance Maximum Power Point Tracking (MPPT). This approach improves efficiency and power delivery by dynamically adjusting the converter's operation in response to varying solar conditions. The validation of the proposed work is done with the aid of MATLAB/Simulink for proving the importance of the developed system. The proposed system achieves high conversion gain and efficiency, making the system more effective for PV-based EV power management.