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<p>The proliferation of EVs and plug-in hybrid PHEVs necessitates the development of efficient charging infrastructure to accommodate their growing demand. This research proposes a novel approach integrating hybrid green energy sources, specifically integrating fuel cells and Photovoltaic (PV) modules, alongside battery storage to enhance the performance of electric vehicles. A High gain Coupled Inductor (CI) Boost converter with voltage multiplier is deployed to optimize the output of PV modules, thereby improving overall system efficiency. It is essential for optimizing solar energy use and guaranteeing steady and effective EV charging operations. An Elephant Herding Algorithm (EHA) tuned PI controller is deployed for regulating developed converter. Additionally, a Boost converter regulates the output of fuel cell, providing supplementary energy to the charging system. A battery coupled with a bi-directional battery converter is integrated for storing excess energy. This enables efficient energy storage and retrieval as needed, ensuring uninterrupted charging operations. Moreover, the energy harvested is utilized to power the Permanent Magnet Brushless DC (PMBLDC) motor drive, facilitating the propulsion of EVs. By optimizing energy generation, storage and utilization, the proposed system contributes towards sustainable and efficient electric transportation infrastructure with 97.5% efficiency.</p>

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Enhanced Performance of Electric Vehicle Self-Recharging System Using Hybrid Renewable Sources with Optimized Controller

  • 期刊论文

  • 发表日期：

    2026年7月13日

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  • S. Priyadharsini,
  • P. Subha Karuvelam

摘要

The proliferation of EVs and plug-in hybrid PHEVs necessitates the development of efficient charging infrastructure to accommodate their growing demand. This research proposes a novel approach integrating hybrid green energy sources, specifically integrating fuel cells and Photovoltaic (PV) modules, alongside battery storage to enhance the performance of electric vehicles. A High gain Coupled Inductor (CI) Boost converter with voltage multiplier is deployed to optimize the output of PV modules, thereby improving overall system efficiency. It is essential for optimizing solar energy use and guaranteeing steady and effective EV charging operations. An Elephant Herding Algorithm (EHA) tuned PI controller is deployed for regulating developed converter. Additionally, a Boost converter regulates the output of fuel cell, providing supplementary energy to the charging system. A battery coupled with a bi-directional battery converter is integrated for storing excess energy. This enables efficient energy storage and retrieval as needed, ensuring uninterrupted charging operations. Moreover, the energy harvested is utilized to power the Permanent Magnet Brushless DC (PMBLDC) motor drive, facilitating the propulsion of EVs. By optimizing energy generation, storage and utilization, the proposed system contributes towards sustainable and efficient electric transportation infrastructure with 97.5% efficiency.