Special Issues

Passive and Active Noise Control for Vehicle

Submission Deadline: 31 August 2023 (closed) View: 46

Guest Editors

Prof. Yansong Wang, Shanghai University of Engineering Science, China
Prof. Yansong Wang has been engaged in teaching and scientific research on vehicle sound quality evaluation and control for many years and has achieved significant progress in vehicle NVH technology, environmental noise evaluation and control, acoustic material testing and noise reduction equipment. In basic theoretical research, he proposed several intelligent evaluation methods for non-stationary signals, established intelligent evaluation models of noise comprehensive annoyance based on psychoacoustic parameters, and proposed a hybrid vibro-acoustics active control method for interior sound quality. Prof. Wang has successively completed more than 40 various scientific research projects, including 4 projects from the National Natural Science Foundation of China, and has won more than 10 scientific research awards; he is the author of more than 170 papers/books/book chapters.

Prof. Hui Guo, Shanghai University of Engineering Science, China
Prof. Hui Guo has been engaged in teaching and scientific research on vehicle sound quality evaluation and control for years and has achieved significant progress in vehicle NVH technology, acoustic metamaterials and piezoelectric metamaterial. He proposed several intelligent evaluation methods for psychoacoustic parameters and proposed material/structure design and optimization methods for acoustic metamaterials. Prof. Guo has successively completed more than 30 projects from the industrial circles, and has won more than 3 scientific research awards; he is the author of more than 70 papers.

Prof. Houguang Liu, China University of Mining and Technology, China
Prof. Liu has been engaged in teaching and scientific research on sound quality evaluation and control for many years and has achieved significant progress in vehicle NVH technology, psychoacoustics, and acoustic hearing implants. In basic theoretical research, he proposed several sound quality evaluation methods based on human-ear physiological structure, developed acoustic hearing implants for treating mixed hearing loss, and proposed acoustic events recognition methods for machine fault diagnosis. Prof. Liu has successively completed more than 30 scientific research projects, including 4 projects from the National Natural Science Foundation of China; he is the author of more than 120 papers.

Dr. Haibo Huang, Southwest Jiaotong University, China
Dr. Haibo Huang obtained his Ph.D. degree in Vehicle Engineering from Southwest Jiaotong University in 2017. He later served as an assistant professor at Xi'an Jiaotong University and joined the School of Mechanical Engineering at Southwest Jiaotong University in 2021. His research interests include big data analysis of vehicles, as well as noise and vibration control. He has published more than 30 SCI/EI papers, with 18 of them as the first or corresponding author in Q1 journals (such as MSSP, JSV, ESWA) or in journals listed in the first district of Chinese Academy of Sciences. He has also applied for 12 national invention patents, all of which have been authorized or disclosed. He has led six national or provincial research projects, including the National Natural Science Foundation of China's Young Scientists Fund, the National Postdoctoral Science Foundation's General Project, and the Shaanxi Provincial Natural Science Foundation's Young Scientists Fund. He has established long-term stable cooperative relationships with key enterprises and research institutions in the automotive industry, such as Changan Automobile Co., Ltd., Guangzhou Automobile Group Co., Ltd., SAIC-GM-Wuling Automobile Co., Ltd., and China Automotive Technology and Research Center.

Summary

The new generation of road vehicles is developing towards electrification, intelligence, interconnection and sharing. Besides being a means of transportation, vehicles are expected to have more functions, such as work and entertainment. In line with these trends, vehicle interior noise control calls for more attention than just controlling physical acoustic quantities. The last decade has witnessed revolutionary progress in the materials, structures, control methods and technologies that create a quieter and more comfortable interior sound environment for vehicles. The existent challenge is that the interior noise in the running vehicle, especially under high-speed conditions, features strong time-varying and non-linear characteristics. New challenges are also emerging for interior noise control, even sound quality, when different functional zones are expected in the future cabin, like the working or entertainment zone. The special issue aims to provide readers with theoretical and engineering advances in vehicle noise control. 


This Special Issue mainly focuses on passive and active noise control for vehicle. Topics of interest include but not limited to:

  • Vehicle interior noise generation mechanism;

  • Vehicle interior noise intelligence prediction methods;

  • Vehicle vibration generation mechanism;

  • Vehicle vibration intelligence prediction methods;

  • Subjective evaluation of vehicle sound quality;

  • Objective evaluation of vehicle sound quality;

  • Passive noise control methods;

  • Active noise control methods;

  • Passive vibration control methods;

  • Active vibration control methods;

  • Active control of vehicle interior sound quality;

  • Structure research and applications of new materials;

  • Vibration signal acquisition, processing and analytical methods;

  • Noise signal acquisition, processing and analytical methods;

  • Applications of vehicle sound quality evaluation methods;

  • Applications of vehicle sound quality control methods;

  • Applications of vehicle vibration control methods.


Keywords

Noise control, Sound quality, Artificial intelligence prediction, Signal reconstruction

Published Papers


  • Open Access

    ARTICLE

    A Sound Quality Evaluation Method for Vehicle Interior Noise Based on Auditory Loudness Model

    Zhiheng He, Hui Guo, Houguang Liu, Yu Zhao, Zipeng Zhang, Shanguo Yang
    Sound & Vibration, Vol.58, pp. 47-58, 2024, DOI:10.32604/sv.2024.045470
    (This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
    Abstract When designing and optimizing the hull of vehicles, their sound quality needs to be considered, which greatly depends on the psychoacoustic parameters. However, the traditional psychoacoustic calculation method does not consider the influence of the real human ear anatomic structure, even the loudness which is most related to the auditory periphery. In order to introduce the real physiological structure of the human ear into the evaluation of vehicle sound quality, this paper first carried out the vehicle internal noise test to obtain the experimental samples. Then, the physiological loudness was predicted based on an established More >

  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Passive and Active Noise Control for Vehicle

    Hui Guo, Chao Yang
    Sound & Vibration, Vol.57, pp. 155-156, 2023, DOI:10.32604/sv.2023.043954
    (This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Adaptive Multi-Feature Fusion for Vehicle Micro-Motor Noise Recognition Considering Auditory Perception

    Ting Zhao, Weiping Ding, Haibo Huang, Yudong Wu
    Sound & Vibration, Vol.57, pp. 133-153, 2023, DOI:10.32604/sv.2023.044203
    (This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
    Abstract The deployment of vehicle micro-motors has witnessed an expansion owing to the progression in electrification and intelligent technologies. However, some micro-motors may exhibit design deficiencies, component wear, assembly errors, and other imperfections that may arise during the design or manufacturing phases. Consequently, these micro-motors might generate anomalous noises during their operation, consequently exerting a substantial adverse influence on the overall comfort of drivers and passengers. Automobile micro-motors exhibit a diverse array of structural variations, consequently leading to the manifestation of a multitude of distinctive auditory irregularities. To address the identification of diverse forms of abnormal… More >

    Graphic Abstract

    Adaptive Multi-Feature Fusion for Vehicle Micro-Motor Noise Recognition Considering Auditory Perception

  • Open Access

    ARTICLE

    Research on Human-Vehicle-Road Friendliness Based on Improved SH-GH-ADD Control

    Yangyang Bao, Mingliang Yang, Haibo Huang, Liyuan Liu, Honglin Zhu, Weiping Ding
    Sound & Vibration, Vol.57, pp. 45-68, 2023, DOI:10.32604/sv.2023.043279
    (This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
    Abstract The hub-driven virtual rail train is a novel urban transportation system that amalgamates the benefits of modern trams and buses. However, this system is plagued by issues such as decreased ride comfort and severe deformation of urban roads due to the increase in sprung mass and long-term rolling at the same position. To address these concerns and improve the human-vehicle-road friendliness of the virtual rail train, we propose an Improved Sky-Ground Hook and Acceleration-Driven Damper control (Improved SH-GH-ADD control) strategy for the semi-active suspension system. This control monitors the vibration acceleration signal of the unsprung More >

  • Open Access

    ARTICLE

    Multi-Objective Prediction and Optimization of Vehicle Acoustic Package Based on ResNet Neural Network

    Yunru Wu, Xiangbo Liu, Haibo Huang, Yudong Wu, Weiping Ding, Mingliang Yang
    Sound & Vibration, Vol.57, pp. 73-95, 2023, DOI:10.32604/sv.2023.044601
    (This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
    Abstract Vehicle interior noise has emerged as a crucial assessment criterion for automotive NVH (Noise, Vibration, and Harshness). When analyzing the NVH performance of the vehicle body, the traditional SEA (Statistical Energy Analysis) simulation technology is usually limited by the accuracy of the material parameters obtained during the acoustic package modeling and the limitations of the application conditions. In order to effectively solve these shortcomings, based on the analysis of the vehicle noise transmission path, a multi-level objective decomposition architecture of the interior noise at the driver’s right ear is established. Combined with the data-driven method, More >

  • Open Access

    ARTICLE

    Research on Narrowband Line Spectrum Noise Control Method Based on Nearest Neighbor Filter and BP Neural Network Feedback Mechanism

    Shuiping Zhang, Xi Liang, Lin Shi, Lei Yan, Jun Tang
    Sound & Vibration, Vol.57, pp. 29-44, 2023, DOI:10.32604/sv.2023.041350
    (This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
    Abstract The filter-x least mean square (FxLMS) algorithm is widely used in active noise control (ANC) systems. However, because the algorithm is a feedback control algorithm based on the minimization of the error signal variance to update the filter coefficients, it has a certain delay, usually has a slow convergence speed, and the system response time is long and easily affected by the learning rate leading to the lack of system stability, which often fails to achieve the desired control effect in practice. In this paper, we propose an active control algorithm with nearest-neighbor trap structure… More >

    Graphic Abstract

    Research on Narrowband Line Spectrum Noise Control Method Based on Nearest Neighbor Filter and BP Neural Network Feedback Mechanism

  • Open Access

    TUTORIAL

    Loss Factors and their Effect on Resonance Peaks in Mechanical Systems

    Roman Vinokur
    Sound & Vibration, Vol.57, pp. 1-13, 2023, DOI:10.32604/sv.2023.041784
    (This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
    Abstract The loss factors and their effects on the magnitude and frequency of resonance peaks in various mechanical systems are reviewed for acoustic, vibration, and vibration fatigue applications. The main trends and relationships were obtained for linear mechanical models with hysteresis damping. The well-known features (complex module of elasticity, total loss factor, etc.) are clarified for practical engineers and students, and new results are presented (in particular, for 2-DOF in-series models with hysteresis friction). The results are of both educational and practical interest and may be applied for NVH analysis and testing, mechanical and aeromechanical design, More >

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