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This paper presents a control strategy to enhance the charge capacity of an electric vehicle (EV) battery. This is achieved by regulating the operation state of a buck-boost converter using a Neural Sliding Mode Controller (NSMC). The proposed controller and its energy management strategy are validated using an EV-specific driving cycle designed for typical urban conditions. Results of the NSMC have been compared to PI controller and the performance of the intelligent controller have been validated with the Mean Square Error (MSE).

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A Strategy of Robust Intelligent Control Applied to a Buck-Boost Converter to Improve the Battery Performance in Electric Vehicles

  • 会议论文

  • 发表日期：

    2026年

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  • Jose A. Ruz-Hernandez,
  • Mario Antonio Ruz Canul,
  • Ramon Garcia-Hernandez,
  • Jose Luis Rullan-Lara,
  • Jaime R. Vior-Franco,
  • Raul Chiu Nazarala

摘要

This paper presents a control strategy to enhance the charge capacity of an electric vehicle (EV) battery. This is achieved by regulating the operation state of a buck-boost converter using a Neural Sliding Mode Controller (NSMC). The proposed controller and its energy management strategy are validated using an EV-specific driving cycle designed for typical urban conditions. Results of the NSMC have been compared to PI controller and the performance of the intelligent controller have been validated with the Mean Square Error (MSE).