多通道FxAP算法的电动汽车路噪控制

汽车噪声控制是主动噪声控制领域中经典的问题.伴随着电动化的普及,路噪控制将取代内燃机噪声控制,逐渐成为汽车噪声控制的主要领域.针对传统车内路噪控制系统适应性差、算法收敛速度慢、降噪量不足的问题,该文使用了多通道滤波-x仿射投影(FxAP)算法加快收敛速度,从而实现对噪声的快速追踪并控制.通过搭建了车内多通道头靠噪声控制...

Multi-channel active road noise control in electrical vehicles based on FxAP algorithm

Road noise control in electric vehicles is an important application of Active Noise Control (ANC). With the popularization of automobile electrification, road noise control will replace internal combustion engine noise control. The traditional noise reduction algorithms have a poor adaptability, slow convergence speed and bad noise reduction. To solve this problem, a Multi-channel Filtered-x Affine Projection (FxAP) algorithm to track and deduct noise in real-time is proposed in this paper. The performance of the proposed method is compared with other adaptive ANC algorithms based on the data captured from real vehicles on road. Real-time multi-channel experiment is also conducted to verify the proposed method. As the results shows, when the car is drove at a speed of 70 km/h, the total sound pressure level (SPL) at the ear positions is reduced by 8.3 dB under 500 Hz on average owing to the active headrest system with the proposed FxAP algorithm. The system shows prospective value in vehicle NVH research and applications, especially on road noise control.