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
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