Noise Reduction Analysis of Front Compartment Sound Package of Electric Vehicle Based on SEA Method

2021-01-1063

08/31/2021

Event
Noise and Vibration Conference & Exhibition
Authors Abstract
Content
To reduce dependence on petroleum resources and pollution to the natural environment, electric vehicles as new energy vehicles have become the focus of various original equipment manufacturers and component companies. At the same time, the NVH performance of electric vehicles is the focus of attention of automobile companies, and higher requirements are placed on sound-proof packaging, which is an important part of reducing automobile noise. Compared with traditional internal combustion engine vehicles, the biggest difference between electric vehicles (EV) is their electric drive system. High-frequency noise is generated when the electric motor is used as a power device. When there is no engine noise, the problem of electric drive noise is more obvious. Generally, an sound package is used to block the transmission path of noise. Therefore, an sound package is selected to cover the electric motor to reduce the impact of noise on the interior of the vehicle. When developing an sound package, it is necessary to perform contribution analysis through the transmission path. This paper analyzes the contribution of electric vehicles, applies motor noise and tire noise to the vehicle model, and finds out the contribution of each external acoustic cavity system to the driver's head acoustic cavity noise, thereby to filter out the frequency band which have greater influence of inner cavities. Compare several different motor coating sound package solutions to determine the type of sound package required by the motor.
Meta TagsDetails
DOI
https://doi.org/10.4271/2021-01-1063
Pages
5
Citation
Wei, Z., Jiang, Y., Tian, X., Huang, W. et al., "Noise Reduction Analysis of Front Compartment Sound Package of Electric Vehicle Based on SEA Method," SAE Technical Paper 2021-01-1063, 2021, https://doi.org/10.4271/2021-01-1063.
Additional Details
Publisher
Published
Aug 31, 2021
Product Code
2021-01-1063
Content Type
Technical Paper
Language
English