<p>This study investigates the acoustic source characteristics and propagation mechanisms of a 120&#xa0;kW high-power DC charging station for electric vehicles using integrated numerical and experimental methodologies. Utilizing computational fluid dynamics (CFD) coupled with computational aeroacoustics (CAA), the acoustic spectrum and propagation behavior of the power module were analyzed. Experimental measurements confirmed simulation accuracy. Results indicate that the primary noise sources stem from dipole sources on internal cooling fan blades and adjacent component walls, with characteristic frequencies aligning with blade passing frequency (BPF) harmonics, demonstrating tonal dominance. The charging pile’s acoustic spectrum mirrors the module’s, with sound primarily radiating through vents in a directional pattern. A multi-factor noise reduction strategy was developed to address inherent propagation defects, achieving a 6.8 dBA reduction in overall sound pressure level (OASPL) at critical monitoring points. Acoustic experiments validated the optimized scheme’s efficacy, highlighting its potential for high-power charging system noise control.</p>

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Experimental and Numerical Study on Noise of Electric Vehicle Charging Pile

  • Bingyun Jiang,
  • Qi Pan,
  • Zhenyu Liu,
  • Shunyuan Zhou,
  • Hui Liu,
  • Kaili Wang

摘要

This study investigates the acoustic source characteristics and propagation mechanisms of a 120 kW high-power DC charging station for electric vehicles using integrated numerical and experimental methodologies. Utilizing computational fluid dynamics (CFD) coupled with computational aeroacoustics (CAA), the acoustic spectrum and propagation behavior of the power module were analyzed. Experimental measurements confirmed simulation accuracy. Results indicate that the primary noise sources stem from dipole sources on internal cooling fan blades and adjacent component walls, with characteristic frequencies aligning with blade passing frequency (BPF) harmonics, demonstrating tonal dominance. The charging pile’s acoustic spectrum mirrors the module’s, with sound primarily radiating through vents in a directional pattern. A multi-factor noise reduction strategy was developed to address inherent propagation defects, achieving a 6.8 dBA reduction in overall sound pressure level (OASPL) at critical monitoring points. Acoustic experiments validated the optimized scheme’s efficacy, highlighting its potential for high-power charging system noise control.