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<p>This paper explores the design, analysis, and comparison of different control strategies for managing the speed of brushless direct current (BLDC) motors in electric vehicles (EVs) powered by both solar photovoltaic (PV) systems and grid supply. The proposed system utilizes a dual-source power configuration, where solar energy is optimized using an advanced maximum power point tracking (MPPT) technique via a boost converter. In contrast, grid power is efficiently controlled through a feedforward decoupling method. Various motor control techniques are evaluated, including hysteresis current control (HCC), field-oriented control (FOC), and hybrid approaches such as FOC combined with HCC (FOC + HCC) and an enhanced strategy integrating FOC, HCC, and sliding-mode control (FOC + HCC + SMC). The FOC + HCC + SMC method delivers the best results by significantly reducing torque ripple, enhancing dynamic response, and ensuring precise speed tracking under different load and power conditions. This study provides valuable insights into intelligent motor control and energy management, contributing to more efficient and sustainable EV technology.</p>

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Design and analysis of BLDC motor speed control for electric vehicles powered by solar PV and grid supply

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月22日

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  • Abhishek Kumar,
  • M. Venkatesh Naik,
  • Rahul Kumar,
  • Aman

摘要

This paper explores the design, analysis, and comparison of different control strategies for managing the speed of brushless direct current (BLDC) motors in electric vehicles (EVs) powered by both solar photovoltaic (PV) systems and grid supply. The proposed system utilizes a dual-source power configuration, where solar energy is optimized using an advanced maximum power point tracking (MPPT) technique via a boost converter. In contrast, grid power is efficiently controlled through a feedforward decoupling method. Various motor control techniques are evaluated, including hysteresis current control (HCC), field-oriented control (FOC), and hybrid approaches such as FOC combined with HCC (FOC + HCC) and an enhanced strategy integrating FOC, HCC, and sliding-mode control (FOC + HCC + SMC). The FOC + HCC + SMC method delivers the best results by significantly reducing torque ripple, enhancing dynamic response, and ensuring precise speed tracking under different load and power conditions. This study provides valuable insights into intelligent motor control and energy management, contributing to more efficient and sustainable EV technology.