The use of an artificial neural network for assessing tone perception in electric powertrain noise, vibration and harshness
The use of an artificial neural network for assessing tone perception in electric powertrain noise, vibration and harshness
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DOI：
10.1007/s11012-024-01753-x
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发表时间：
2024-02
期刊：
影响因子：
2.7
通讯作者：
Marcos Ricardo Souza;A. Haris;Leon Rodrigues;G. Offner;M. Sopouch;Franz Diwoky;M. Mohammadpour;S. Theodossiades
中科院分区：
文献类型：
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作者：
Marcos Ricardo Souza;A. Haris;Leon Rodrigues;G. Offner;M. Sopouch;Franz Diwoky;M. Mohammadpour;S. Theodossiades
从内燃机到电动动力系统的过渡为这些车辆的噪声、振动和声振粗糙度（NVH）分析带来了新的挑战。电磁激励和齿轮啮合机构的音调性质反映在电动动力系的辐射噪声中，通常导致驾驶员和乘客对来自电动车辆的噪声进行评价，即使电动车辆比内燃机驱动的动力系更安静，噪声也会增加。本文建立了一个柔性多体动力学模型，用于计算电动动力传动系统的振动和从轴承传递到壳体的力。加速度，力和声谱数据被用来训练人工神经网络，以评估基于结构模拟的结果的噪声中的音调的突出性。结果表明，它是可能的，以确定心理声学指标，从多体动力学模拟单独。通过这种新方法，可以快速研究动力系统的变化如何影响噪声的音调感知，而无需新的声学模拟和实验。对于音调感知分析，突出率被用作度量。这种将多体动力学仿真与初始声学数据和神经网络相结合的框架也可以适当地应用于不同的NVH指标。
The transition from internal combustion engines to electric powertrains brings new challenges for the Noise, Vibration, and Harshness (NVH) analysis of these vehicles. The tonal nature of the electromagnetic excitations and of the gear meshing mechanism are reflected in the radiated noise of electric powertrains, often leading drivers and passengers to rate the noise from electric vehicles with an increased nuisance even if they are quieter than internal combustion driven powertrains. In this paper, a flexible multi-body dynamics model is developed to calculate the vibration and forces transmitted from the bearings to the housing of an electric powertrain. Acceleration, force and sound spectra data are used to train an artificial neural network to assess the prominence of tones in the noise based on the results of the structural simulation. The results show it is possible to identify psychoacoustic metrics from the multibody dynamics simulation alone. With this new approach, it is feasible to quickly investigate how changes in the powertrain will affect the tonal perception of the noise without the need of new acoustic simulations and experiments. For the tonal perception analysis, the Prominence Ratio is used as a metric. This framework of combining multibody dynamics simulation with initial acoustic data and neural networks can be also applied to different NVH metrics as appropriate.