Scholarlink

<p>Charging stations powered by renewable energy are foundational for fostering sustainable transportation by reducing the strain on fossil fuel reserves amid rising energy needs. Thereby, incorporating Renewable Energy Sources (RESs) like Photovoltaic (PV) systems and Wind Energy Conversion Systems (WECS) into Electric Vehicle (EV) charging stations ensure sustained powering facilities, reduced environmental fragilities, and enhanced grid utilities. However, the efficient functioning of these systems depends heavily on the DC-DC converter, which regulates power flow, stabilizes voltage, and adapts to dynamic energy sources. Hence, a novel Hybrid SEPIC–Landsman Bidirectional Converter (HSLBC), which combines the high boosting capability of the SEPIC configuration with the continuous current output characteristics of the Landsman converter, is presented in this work. To ensure effective operation, the converter is equipped with an advanced closed-loop control system utilizing Adaptive Neuro-Fuzzy Inference System (ANFIS) optimized by Chicken Swarm Algorithm (CSA). The Doubly Fed Induction Generator (DFIG) based WECS is interfaced to the DC-link via a PWM rectifier. The intermittency of both these variable power sources is addressed through grid integration in the proposed system. Experimental and simulation results confirm the converter’s functionality, showcasing reduced THD, high energy efficiency, and reliable handling of power flow.</p>

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A novel hybrid SEPIC–Landsman bidirectional converter for renewable-energy-based EV charging

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月3日

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  • Hema S,
  • Ramya Rajendran,
  • M A Inayathullaah,
  • Baswaraju Swathi

摘要

Charging stations powered by renewable energy are foundational for fostering sustainable transportation by reducing the strain on fossil fuel reserves amid rising energy needs. Thereby, incorporating Renewable Energy Sources (RESs) like Photovoltaic (PV) systems and Wind Energy Conversion Systems (WECS) into Electric Vehicle (EV) charging stations ensure sustained powering facilities, reduced environmental fragilities, and enhanced grid utilities. However, the efficient functioning of these systems depends heavily on the DC-DC converter, which regulates power flow, stabilizes voltage, and adapts to dynamic energy sources. Hence, a novel Hybrid SEPIC–Landsman Bidirectional Converter (HSLBC), which combines the high boosting capability of the SEPIC configuration with the continuous current output characteristics of the Landsman converter, is presented in this work. To ensure effective operation, the converter is equipped with an advanced closed-loop control system utilizing Adaptive Neuro-Fuzzy Inference System (ANFIS) optimized by Chicken Swarm Algorithm (CSA). The Doubly Fed Induction Generator (DFIG) based WECS is interfaced to the DC-link via a PWM rectifier. The intermittency of both these variable power sources is addressed through grid integration in the proposed system. Experimental and simulation results confirm the converter’s functionality, showcasing reduced THD, high energy efficiency, and reliable handling of power flow.