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Internal combustion engines have been supplanted by electric motors in modern automobiles. Generally, Permanent Magnet Brushless DC (BLDC) motors are preferable in Electrical Vehicles, because of their light weight, high acceleration rate, adjustable speed and position control, and high efficiency. The motor’s intricate design and non-linear behaviour are the main challenges to improving its performance. The present work concisely reviews the optimal designs of BLDC motors for electrical vehicle modelling. Considering 15 design parameters of the BLDC motor, four objective functions have been formulated here to achieve the best possible design. Aside from that, the Simulink toolbox of MATLAB has been used to model the dynamics of an electrical vehicle. Performance analysis based on different parameters of EV has also been carried out in a simulated environment. This study creates a foundation for additional investigation.

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Review on Optimal Design of BLDC Motor in Electrical Vehicle Modelling

  • 会议论文

  • 发表日期：

    2025年

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  • Surya Narayan Tripathy,
  • Swagat Samantray,
  • Shubhasri Kundu,
  • Arjyadharan Pradhan

摘要

Internal combustion engines have been supplanted by electric motors in modern automobiles. Generally, Permanent Magnet Brushless DC (BLDC) motors are preferable in Electrical Vehicles, because of their light weight, high acceleration rate, adjustable speed and position control, and high efficiency. The motor’s intricate design and non-linear behaviour are the main challenges to improving its performance. The present work concisely reviews the optimal designs of BLDC motors for electrical vehicle modelling. Considering 15 design parameters of the BLDC motor, four objective functions have been formulated here to achieve the best possible design. Aside from that, the Simulink toolbox of MATLAB has been used to model the dynamics of an electrical vehicle. Performance analysis based on different parameters of EV has also been carried out in a simulated environment. This study creates a foundation for additional investigation.