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| Research on sound quality of electric vehicle gear whine noise based on gear modification |
| FANG Yuan1,2 ZHANG Tong1,2,3 LENG Yi 1,2 CHEN Feifei 1,2 GUO Rong1,2 |
1. New Clean Energy Automotive Engineering Center, Tongji University, Shanghai 201804;
2. School of Automotive Studies, Tongji University, Shanghai 201804;
3.Sino-German College of Applied Sciences, Tongji University, Shanghai 201804 |
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Abstract Gear whine levels have long been known to contribute to driver annoyance and perceptions in cars, especially electric vehicles. In this paper, experimental investigations were done to analyze acoustic performance of the reducer to identify the source of the gear whine noise. The characteristics of frequency spectrum of the gear whine was studied with a correlation analysis between the objective data and the subjective rating. Sensitive frequency band energy ratio was defined as an evaluation parameter. In order to improve the sound quality of gear whine, a multi-parameter optimization with multi-objective is performed based on genetic algorithm to obtain the optimal modification scheme. Then a co-simulation analysis based on finite element modeling (FEM) and boundary element method (BEM) for the acoustic radiation analysis of the reducer was presented to predict noise improvement after gear modification. Based on the frequency spectrum characteristics analyzed before, the sound quality of gear whine is improved effectively by tooth modification.
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Received: 17 April 2015
Published: 25 April 2016
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