Paper
27 September 2024 A model for the NVH analysis of electric vehicles based on electromechanical coupling vibration
Xiaogang Liu, Yi Xiong
Author Affiliations +
Proceedings Volume 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024); 132614U (2024) https://doi.org/10.1117/12.3046614
Event: 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 2024, Wuhan, China
Abstract
With the rapid development of electric vehicle industry, the noise, vibration, and harshness (NVH) problem of electric vehicles is drawing more attention. In order to address this problem, experiments are conducted in this research on a test rig of electric drive system, and the results show that there are four evident frequencies on the sound spectrum. In order to investigate this phenomenon, a model of an electric drive system consisting of a transmission and motor system is developed. The torsional vibration acquired with this model also has four dominant frequencies, which are quite close to frequencies of experimental measurement. Further analysis based on this model shows that these four dominant frequencies are due to the fundamental, doubled, tripled frequency of gear meshing, and the 6th order current harmonics of the d-axis current, respectively. The results of the model analysis are quite close to experimental measurements, and the difference is less than 3%, indicating that this model can be applied to predict the NVH of electric vehicles. It seems that the vibration is affected not only by the mechanical parts but also by the current harmonics, and the model can be applied to analyse the mechanism of the NVH phenomena of electric vehicles.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaogang Liu and Yi Xiong "A model for the NVH analysis of electric vehicles based on electromechanical coupling vibration", Proc. SPIE 13261, Tenth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), 132614U (27 September 2024); https://doi.org/10.1117/12.3046614
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KEYWORDS
Vibration

Analytical research

Electrical phenomena

Mathematical optimization

Transducers

Electromagnetism

Systems modeling

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