The unsteady flow around the wheel-house region of the electric vehicle can generate hydrodynamic and acoustic pressure, which can influence the interior sound field. An experimental study of pressure fluctuations inside the wheel-houses is carried out in an aeroacoustic wind tunnel. Based on the assumption of Gaussian distribution of near-field acoustic signals, and intermittent periodic fluctuations of near-field hydrodynamic pressure, the wavelet decomposition method was used to separate hydrodynamic and acoustic pressure from the near-field experimental results of only one surface microphone. Through frequency domain and scaling factor analysis, the paper demonstrates the feasibility of applying wavelet decomposition in wheel-houses, and identifies distinct frequency domain characteristics and contribution variations of aerodynamic and hydrodynamic pressure within wheel-houses.
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