Abstract:

Wind noise is one of the main sources of interior noise in high-speed driving of new energy vehicles. Wind noise control by traditional structural design has problems such as difficulty in control and unclear noise reduction effect. In this article， an improved delayless frequency domain filtering active noise control algorithm based on secondary path equalization and frequency domain segmented variable step size method. This algorithm has the characteristics of lower computational complexity and less frequency dependence on system noise reduction performance compared to traditional filtering minimum mean square （FxLMS） algorithms， and can achieve good noise reduction effect over a wide frequency range. A dual channel simulation model of the algorithm is built in SIMULINK to simulate the noise reduction control effect of broadband wind noise， and a wind noise active control test bench is set up in a semi anechoic chamber for testing and verification. The results show that based on the wind noise data measured in real vehicles under high-speed conditions， the improved delayless frequency domain filtering algorithm proposed in this paper has significantly better noise reduction effect than the traditional FxLMS algorithm， with the noise reduction of about 9.42 dB（A） and 8.81 dB（A） at two target positions. This research result can provide new ideas and methods for active control and application of automotive wind noise.

Key words: automobile wind noise, active control of wind noise, delayless frequency domain algorithm, secondary path equalization, variable step size in frequency segmentation