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Hydrogen-powered electric vehicles (EVs) represent a significant advancement in clean transportation, utilizing innovative energy production and storage solutions. This paper proposes a robust control strategy for such systems, employing a combination of frequency splitting and the super-twisting algorithm (STA). The investigated system comprises a fuel cell (FC) integrated with a hybrid energy storage system (HESS) that utilizes both batteries and supercapacitors (SC). The DC-DC boost converter optimizes FC power output, while bidirectional DC-DC converters facilitate seamless power flow within the HESS for charging and discharging. This control strategy aims to overcome limitations inherent to classical PID control methods. Numerical simulations conducted in Matlab/Simulink validate the proposed approach's efficacy in mitigating chattering and over and undershoot phenomena under dynamic load conditions. The results conclusively demonstrate the effectiveness of the control strategy in enhancing overall system performance, enabling well-regulated power exchange, and achieving improved efficiency, reduced power losses, and enhanced system stability.

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Frequency Splitting-Based High Order Sliding Mode Control Strategy for Electric Vehicle

  • 会议论文

  • 发表日期：

    2025年

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  • Mohammed Benzaouia,
  • Mohammed Essoufi,
  • Bekkay Hajji,
  • Abdelhamid Rabhi

摘要

Hydrogen-powered electric vehicles (EVs) represent a significant advancement in clean transportation, utilizing innovative energy production and storage solutions. This paper proposes a robust control strategy for such systems, employing a combination of frequency splitting and the super-twisting algorithm (STA). The investigated system comprises a fuel cell (FC) integrated with a hybrid energy storage system (HESS) that utilizes both batteries and supercapacitors (SC). The DC-DC boost converter optimizes FC power output, while bidirectional DC-DC converters facilitate seamless power flow within the HESS for charging and discharging. This control strategy aims to overcome limitations inherent to classical PID control methods. Numerical simulations conducted in Matlab/Simulink validate the proposed approach's efficacy in mitigating chattering and over and undershoot phenomena under dynamic load conditions. The results conclusively demonstrate the effectiveness of the control strategy in enhancing overall system performance, enabling well-regulated power exchange, and achieving improved efficiency, reduced power losses, and enhanced system stability.