Vehicle Interior Noise and Vibration Reduction Using Experimental Structural Dynamics Modification

1997 ◽  
Author(s):  
Yong-Hwa Park ◽  
Youn-sik Park
Keyword(s):  
Structural Dynamics ◽  
Vibration Reduction ◽  
Interior Noise ◽  
Vehicle Interior ◽  
Noise And Vibration ◽  
Vehicle Interior Noise ◽  
Noise And Vibration Reduction

Vehicle Interior Noise Measurement and Analysis

2011 ◽  
Vol 467-469 ◽  
pp. 1072-1077
Author(s):  
Zhong Xin Li ◽  
Guang Ping Wang ◽  
Shen Xu Wang ◽  
Hong Jiang
Keyword(s):  
Internal Noise ◽  
Interior Noise ◽  
Vibration Acceleration ◽  
Vehicle Interior ◽  
Noise Sources ◽  
Noise And Vibration ◽  
Order Analysis ◽  
Vehicle Interior Noise ◽  
Measurement And Analysis ◽  
Acceleration Signals

A method of vehicle interior noise order analysis was presented to resolve the loud noise problem in a new indigenous vehicle. Sound and vibration properties of the vehicle were tested. The interior noise and vibration acceleration signals at different positions were obtained, and the major sources of noise and vibration were identified. Base on these results, modifications were proposed for different noise sources. The results provide a reference for the optimal design of vehicle motor and transmission system and the internal noise control.

Vehicle interior noise and vibration prediction by combination analyses of Component and Operational TPA

2021 ◽  
Vol 263 (5) ◽  
pp. 1833-1844
Author(s):  
Takuma Tanioka ◽  
Junji Yoshida
Keyword(s):  
Test Bench ◽  
Noise Source ◽  
The Body ◽  
Interior Noise ◽  
Vehicle Model ◽  
Vehicle Interior ◽  
Noise And Vibration ◽  
Vehicle Interior Noise ◽  
Vibration Prediction ◽  
Operational Test

In this study, we propose an analytical method consisting of Operational TPA (OTPA) and Component TPA (CTPA) to predict the vehicle interior noise and vibration without the vehicle operational test in case the noise source such as engine was modified. In the proposed method, the blocked force of the noise source was obtained at a test bench and the vibration at the source attachment point on the vehicle was calculated by CTPA. After then, the response point signal (interior noise / vibration) is estimated from several reference point signals including the calculated vibration by OTPA. For the verification of this method, a simple vehicle model which is composed of four tires and a motor was prepared in addition to a test bench. OTPA was firstly applied to the vehicle model to analyze the contribution from tires and a motor to the body vibration (response point). The blocked force of a modified motor was obtained by CTPA at the test bench and the force was used to predict the response point by OTPA. Finally, the estimated interior vibration was compared with the actual measured response point vibration when the motor was replaced on the vehicle model and the accuracy was verified.

Plane Wave Resonance in the Tire Air Cavity as a Vehicle Interior Noise Source

1995 ◽  
Vol 23 (1) ◽  
pp. 2-10 ◽  
Author(s):  
J. K. Thompson
Keyword(s):  
Closed Form Solution ◽  
Form Solution ◽  
Interior Noise ◽  
Cavity Resonance ◽  
Test Results ◽  
Vehicle Interior ◽  
Air Cavity ◽  
Vehicle Interior Noise ◽  
Wave Resonance ◽  
Resonance Frequencies

Abstract Vehicle interior noise is the result of numerous sources of excitation. One source involving tire pavement interaction is the tire air cavity resonance and the forcing it provides to the vehicle spindle: This paper applies fundamental principles combined with experimental verification to describe the tire cavity resonance. A closed form solution is developed to predict the resonance frequencies from geometric data. Tire test results are used to examine the accuracy of predictions of undeflected and deflected tire resonances. Errors in predicted and actual frequencies are shown to be less than 2%. The nature of the forcing this resonance as it applies to the vehicle spindle is also examined.

Active control for vehicle interior noise using the improved iterative variable step-size and variable tap-length LMS algorithms

2019 ◽  
Vol 67 (6) ◽  
pp. 405-414 ◽  
Author(s):  
Ningning Liu ◽  
Yuedong Sun ◽  
Yansong Wang ◽  
Hui Guo ◽  
Bin Gao ◽  
...  
Keyword(s):  
Steady State ◽  
Noise Control ◽  
Convergence Speed ◽  
Interior Noise ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Vehicle Interior ◽  
Vehicle Interior Noise ◽  
Variable Step

Active noise control (ANC) is used to reduce undesirable noise, particularly at low frequencies. There are many algorithms based on the least mean square (LMS) algorithm, such as the filtered-x LMS (FxLMS) algorithm, which have been widely used for ANC systems. However, the LMS algorithm cannot balance convergence speed and steady-state error due to the fixed step size and tap length. Accordingly, in this article, two improved LMS algorithms, namely, the iterative variable step-size LMS (IVS-LMS) and the variable tap-length LMS (VT-LMS), are proposed for active vehicle interior noise control. The interior noises of a sample vehicle are measured and thereby their frequency characteristics. Results show that the sound energy of noise is concentrated within a low-frequency range below 1000 Hz. The classical LMS, IVS-LMS and VT-LMS algorithms are applied to the measured noise signals. Results further suggest that the IVS-LMS and VT-LMS algorithms can better improve algorithmic performance for convergence speed and steady-state error compared with the classical LMS. The proposed algorithms could potentially be incorporated into other LMS-based algorithms (like the FxLMS) used in ANC systems for improving the ride comfort of a vehicle.

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