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Purpose <p>The rapid advancement of electromobility has led to the exploration of new research avenues, including the investigation of BLDC motor (BLDCM) vibrations. The prompt reaction of the electric motor may readily induce driveshaft vibration, while the interactions between other sources further amplify the vibrations magnitudes to a more substantial extent.</p> Methods <p>This study utilises a novel technique to analyse and reduce vibration and acoustic emissions in the BLDCM for electric vehicle applications. This study examines the effectiveness of abundant energy management control approaches including PID, intelligent, hybrid, and supervisory controllers under various actual operating conditions. In this investigation, a 3 kW BLDCM is used to forecast and alleviate the levels of stress under different real-world conditions.</p> Results <p>The developed energy management controllers are integrated with BLDCM to mitigate greater vibration magnitudes under a variety of operating circumstances. The experimental data show that both the PID (0.22g, 4.9g, 1.6g, 2.4g, 0.21Pa, and 0.34Pa) and intelligent (0.22g, 0.66g, 1.1g, 1.5g, 0.17Pa, and 0.29Pa) controllers exhibit the most extreme levels of stress and acoustic magnitudes at 2500 rpm under various load conditions. In addition, at 2500 rpm and varying load conditions, the vibro-acoustic noise intensities of the hybrid and supervisory controllers are 0.22g, 0.36g, 0.11g, 0.41, 0.06Pa, 0.07Pa and 0.22g, 0.13g, 0.09g, 0.36g, 0.06 Pa, 0.07Pa, respectively.</p> Conclusion <p>Based on a thorough investigation, research results suggest that the supervisory controller is more effective than the regular controllers in mitigating noise and vibration emissions in the BLDCM underneath diverse actual operating circumstances.</p>

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Experimental Investigation and Diminution of Vibration and Acoustic Emissions in BLDC Motor through Efficient Energy Management Controller for Electric Vehicle

  • 期刊论文

  • 发表日期：

    2025年1月9日

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  • Pemmareddy Saiteja,
  • Bragadeshwaran Ashok,
  • C. Kavitha

摘要

Purpose

The rapid advancement of electromobility has led to the exploration of new research avenues, including the investigation of BLDC motor (BLDCM) vibrations. The prompt reaction of the electric motor may readily induce driveshaft vibration, while the interactions between other sources further amplify the vibrations magnitudes to a more substantial extent.

Methods

This study utilises a novel technique to analyse and reduce vibration and acoustic emissions in the BLDCM for electric vehicle applications. This study examines the effectiveness of abundant energy management control approaches including PID, intelligent, hybrid, and supervisory controllers under various actual operating conditions. In this investigation, a 3 kW BLDCM is used to forecast and alleviate the levels of stress under different real-world conditions.

Results

The developed energy management controllers are integrated with BLDCM to mitigate greater vibration magnitudes under a variety of operating circumstances. The experimental data show that both the PID (0.22g, 4.9g, 1.6g, 2.4g, 0.21Pa, and 0.34Pa) and intelligent (0.22g, 0.66g, 1.1g, 1.5g, 0.17Pa, and 0.29Pa) controllers exhibit the most extreme levels of stress and acoustic magnitudes at 2500 rpm under various load conditions. In addition, at 2500 rpm and varying load conditions, the vibro-acoustic noise intensities of the hybrid and supervisory controllers are 0.22g, 0.36g, 0.11g, 0.41, 0.06Pa, 0.07Pa and 0.22g, 0.13g, 0.09g, 0.36g, 0.06 Pa, 0.07Pa, respectively.

Conclusion

Based on a thorough investigation, research results suggest that the supervisory controller is more effective than the regular controllers in mitigating noise and vibration emissions in the BLDCM underneath diverse actual operating circumstances.