Advanced NVH, Human Factors, and Intelligent Control in New Energy Vehicles
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 206
Special Issue Editors
Interests: human factors acoustics; vibration engineering; vehicles; transportation tools; intelligent acoustic; vibration control
Interests: human factors in acoustics; vibration engineering; vehicle; suspension seat dynamics; active/semi-active vibration control
Interests: human vibration; biodynamics; seating dynamics; structural dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid electrification and intelligence of the automotive industry have brought unprecedented changes to the driving and riding experience. As New Energy Vehicles (NEVs) become mainstream, the traditional noise, vibration, and harshness (NVH) challenges are evolving. The disappearance of internal combustion engine noise has unmasked other sources, such as wind noise, road noise, and electric powertrain harmonics, making the acoustic environment more sensitive to occupants. Furthermore, the shift toward intelligent cockpits and autonomous driving significantly alters the biomechanical interaction between the vehicle and passengers, bringing human factors—such as ride comfort and motion sickness—to the forefront of vehicle development.
Traditional passive NVH control methods are often limited by weight and space constraints and struggle to meet the personalized and dynamic needs of modern users. However, emerging technologies in artificial intelligence, multi-source sensing, and active control offer new pathways for optimizing the vehicle vibro-acoustic environment.
This Special Issue, “Advanced NVH, Human Factors, and Intelligent Control in New Energy Vehicles,” aims to bridge the gap between mechanical engineering, biomedical engineering, and control theory. We invite researchers to submit original research and review articles that explore the latest advancements in NVH prediction, evaluation, and control, with a special emphasis on human-centric design and intelligent systems.
Topics of Interest
Potential topics include, but are not limited to, the following:
- NVH in electric powertrains;
- Human factors in vibro-acoustics;
- Motion sickness prediction and mitigation;
- Vehicle–seat–human interaction;
- Active and semi-active control;
- Smart cockpit acoustics;
- AI and data-driven NVH;
- Sound quality and psychoacoustic engineering in Evs;
- Intelligent diagnosis of abnormal noise (squeak & rattle);
- Sound field zoning and independent sound zones;
- Immersive audio and virtual acoustic reproduction;
- Multi-modal comfort and holistic sensing.
Dr. Xu Zheng
Dr. Zunming Wang
Dr. Chi Liu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- new energy vehicles (NVH)
- human factors
- electric powertrains
- intelligent control
- electric vehicle
- sound field
- smart cockpit acoustics
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