Study on the Sound Quality of Steady and Unsteady Exhaust Noise

Fa-lin, Zeng; Sun, Sunmin

doi:10.1155/2018/6205140

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…Zeng, FL. et al [ 30 ] used the ZSSTV method to establish a GA-BP sound prediction model, based on objective parameters and a sound quality parameter SQP-WRW. Their test results demonstrated that the model enjoyed higher accuracy in predicting the quality.…”

Section: Introductionmentioning

confidence: 99%

Research on the parameter design and calibration and control of EV in-vehicle active sound generation system

Zhang,

Li,

Jiang

et al. 2024

Heliyon

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Section: Introductionmentioning

confidence: 99%

Research on the parameter design and calibration and control of EV in-vehicle active sound generation system

Zhang,

Li,

Jiang

et al. 2024

Heliyon

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“…Finally, a comparison of relevant aspects between present and past factors was carried out to verify the value of the proposed index. Zeng and Sun 27 took the advantage of the Zwicker steady-state time-varying method to predict a sound quality on the basis of psychoacoustic parameters, through which a new sound quality parameter, SQP-WRW (sound quality parameter base on wavelet and then proceed to RNR-WVD), was developed. The SQP-WRW-based model enjoyed benefits of the improvement of accuracy in prediction for the sound quality when the signal of acceleration was sent out.…”

Section: Introductionmentioning

confidence: 99%

Research on active sound control in EV in-vehicle based on engine order sound fitting

Zhang

Cao

et al. 2023

Advances in Mechanical Engineering

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In order to upgrade the comfort and dynamic feeling of the sound in the cabin of electric vehicle acceleration and uniform driving, this paper conducted a study on active sound making control in EVs based on sound fitting. Sound fitting was analyzed by short-time Fourier technique (STFT), sound extraction and synthesis was tested by STFT and synthesis method was conducted by Kaiser window function. A study on the sound requirements of a Class A EV was completed, in which a sound design method integrated three objective dimensions of sound amplitude strengthening, energy distribution, and order composition in the vehicle speed range, so as to determine the sound design scheme of accelerated driving with both comfort and dynamic sense. By comparing the characteristics of two kinds of engine sound extraction, the correlation between dynamic sensation and engine sound amplitude was analyzed, and the active sound parameter selection was confirmed under two conditions of acceleration and uniform speed. Efforts were devoted to conduct the active sound system program workflow diagram and system hardware design and testing, and to complete the active sound generation system (ASGS) formation and accuracy testing of the electric vehicle based on the audio system speaker, and additionally the sound calibration and target verification of the ASGS under the static conditions of the real vehicle were carried out. The objective test shows that the ASGS reduces the sharpness under the two working conditions of acceleration and constant speed to 1.0 and 0.52 acum respectively, which effectively alleviates the uncomfortable feeling brought by the high-frequency order sound, and proves that the ASGS can enhance the comfort and dynamic quality characteristics of the electric vehicle interior sound.

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“…Its psychoacoustic objective parameters are timevarying and fluctuate drastically; thus, they cannot be calculated based on the frequency domain model [11]. In addition, the time domain or frequency domain analysis alone cannot accurately reflect the characteristics of vehicle noise, so the time domain and frequency domain signal features should be studied and extracted simultaneously [12]. Wang found that the traditional frequency-based techniques were not applicable to sound quality evaluation (SQE) in the case of the nonstationary vehicle noises [13].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Objective Parameters of Vehicle Door Closing Transient Sound Quality Based on Complex Analytic Wavelet Method

Xie

Zeng

Shen

2018

Shock and Vibration

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In view of the deficiency of psychoacoustic objective parameters in prediction of nonstationary vehicle sound quality, we propose an innovative method to extract the transient acoustic time-frequency characteristic parameters as objective parameters to evaluate the quality of vehicle door closing sound based on complex analytic wavelet. The signal is decomposed by empirical mode decomposition (EMD) and the decomposed intrinsic mode function (IMF) components are analyzed by the spectrum analysis. On the basis of human auditory frequency range, some IMF components are eliminated and the main frequency bands of the effective IMF components are extracted as the analytical frequency bands of the complex analytic wavelet. The center frequencies of the complex analytic wavelet analysis are extracted according to the critical bands, thereby determining wavelet parameters (band width, center frequency, scale factor, etc.,). To highlight the influence of high-frequency components and balance the data discrepancy, we extract the energy ratio coefficient as the objective parameter after weighting the time-frequency components. By comparing with the extracted objective parameters of traditional psychoacoustics, the correlation between the subjective evaluation results and the energy ratio coefficients is analyzed. The results demonstrate that the energy ratio coefficients extracted based on the complex analytic wavelet transform have a greater correlation with subjective evaluation results than the traditional psychoacoustic objective parameters. In addition, the frequency components of 1720 Hz∼3150 Hz have a strong negative correlation with the vehicle door closing sound quality.

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Study on the Sound Quality of Steady and Unsteady Exhaust Noise

Cited by 3 publications

References 12 publications

Research on the parameter design and calibration and control of EV in-vehicle active sound generation system

Research on the parameter design and calibration and control of EV in-vehicle active sound generation system

Research on active sound control in EV in-vehicle based on engine order sound fitting

Investigation of Objective Parameters of Vehicle Door Closing Transient Sound Quality Based on Complex Analytic Wavelet Method

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