Noise Reduction of Two-Speed Automatic Transmission for Pure Electric Vehicles
Zhaoyao Shi,
Bo Liu,
Huijun Yue,
Xiaoxiao Wu,
Shuhan Wang
Affiliations
Zhaoyao Shi
Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, No. 100, Pingleyuan, Chaoyang District, Beijing 100124, China
Bo Liu
Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, No. 100, Pingleyuan, Chaoyang District, Beijing 100124, China
Huijun Yue
Beijing Engineering Research Center of Precision Measurement Technology and Instruments, Beijing University of Technology, No. 100, Pingleyuan, Chaoyang District, Beijing 100124, China
Xiaoxiao Wu
Department of Automotive Engineering, School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
Shuhan Wang
Department of Automotive Engineering, School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
At present, the noise of pure electric vehicles is a research hotspot, especially the noise of automatic transmission. In order to reduce the noise problem in the test, this paper proposes a method to optimize the local structure of the gearbox housing. First, the noise is evaluated and analyzed by combining subjective and objective methods, and the subjective score and noise order information are obtained. Then the factors that have great influence on the transmission error are explored, and the gearbox housing is finally determined as the optimization objective. Through finite element analysis, the weak position of the gearbox housing can be located quickly and accurately, and then the static and dynamic stiffness of the housing can be improved by adding and changing stiffeners. The simulation results show that the performance of the optimized housing is significantly improved. After the noise test of the whole vehicle, the noise of the two-speed automatic transmission is significantly reduced, and the subjective evaluation results are good.