Prediction of mid-high frequency noise in new energy electric vehicles

Abstract

Mid-high frequency noise in new energy electric vehicles is a critical factor affecting the comfort of car occupants. Such noise is generated near the electric motor and four tires, transmitted to the cabin through airborne, and finally perceived by the car occupants. Transfer Path Analysis is widely used for predicting cabin noise, but obvious time-consuming problems exist here. In this study, a time-efficient method called Inverse Transfer Path Analysis was used to calculate the mid-high frequency noise Airborne Transfer Function of a new energy electric vehicle. Then, the mid-high frequency noise at the driver’s ear position was predicted through an operational test. The results reveal that this method can accurately and efficiently predict the noise in the cabin. Furthermore, an artificial head was used to calculate the Head-Related Transfer Function from the external ear to the eardrum. This function was used to predict the mid-high frequency noise at the driver’s eardrum position, and the role of the human ear in the propagation of mid-high frequency noise has been analyzed.