Advances in Vehicle Dynamics

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 1065

Special Issue Editors


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Guest Editor
School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK
Interests: dynamics and vibration analysis of mechanical systems; wave-based control of flexible mechanical systems; mechanical design; ultrasonic guided waves; vehicle dynamics

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Guest Editor
School of Computing, Engineering & Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK
Interests: computational mechanics; artificial intelligence; acoustic analysis

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Guest Editor
School of Computing, Engineering & Digital Technologies, Department of Engineering, Teesside University, Middlesbrough TS1 3BX, UK
Interests: sustainable energy; finite element analysis; CADCAM; light weighting; automotive design; electric vehicle
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Special Issue Information

Dear Colleagues,

Vehicle system dynamics is critical for understanding and optimizing the behavior of vehicles under diverse operating conditions. It ensures efficiency and reliability by enhancing stability, control, and crashworthiness while improving performance through refined handling, ride comfort, and fuel efficiency.

This Special Issue explores experimental and theoretical challenges in the dynamics of diverse vehicles, including road, marine, aerospace, airborne, rail, and other ground-based or unconventional systems. Applications range from passenger and cargo transportation to exploration, industrial operations, spatial missions, and military use. The focus is on advancing technical insights into vehicle behavior through physical models and/or experimental validation.

Topics of interest, including but not limited to:

  • Dynamics of vehicle systems and subsystems such as suspension, steering, and braking.
  • Vibration analysis and control in chassis and rotating components.
  • Sustainable mobility through energy-efficient vehicle dynamics.
  • Motion control, force distribution, and stabilization mechanisms.
  • AI and machine learning for optimizing and predicting vehicle behavior.
  • Smart vehicle technologies, including navigation and traffic systems.
  • Advanced simulation tools, virtual prototyping, and digital twins.
  • Mathematical modeling and parameter identification for dynamic studies.
  • Vehicle-environment interactions, including terrain adaptability.
  • Safety systems such as collision avoidance and crash mitigation.
  • Experimental methods for real-world vehicle dynamics validation.

This Special Issue seeks to unite leading researchers, engineers, and industry professionals to exchange innovative insights and practical solutions in vehicle dynamics. By exploring a broad spectrum of critical topics, it aims to drive advancements in creating transportation systems that are more efficient, precise, safe, sustainable, and dependable across various applications.

We look forward to receiving your valuable contributions to this exciting field.

Dr. Hossein Habibi
Prof. Dr. Quan Bing Eric Li
Dr. Perk Lin Chong
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 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • vehicle dynamics
  • vibration control
  • AI and ML in vehicles
  • simulation tools
  • safety systems
  • environment interaction
  • dynamic modeling
  • motion control
  • smart transportation

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Published Papers (2 papers)

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Research

20 pages, 7737 KiB  
Article
Battery Electric Vehicles: A Study on State of Charge and Cost-Effective Solutions for Addressing Range Anxiety
by Jason Pollock, Perk Lin Chong, Manu Ramegowda, Nashwan Dawood, Hossein Habibi, Zhonglan Hou, Foad Faraji and Pengyan Guo
Machines 2025, 13(5), 411; https://doi.org/10.3390/machines13050411 - 14 May 2025
Viewed by 389
Abstract
While Battery Electric Vehicles (BEVs) offer environmental benefits by reducing carbon emissions during use, their range remains limited compared to conventionally fuelled vehicles. This paper focuses on identifying factors that directly influence BEV range and explores strategies to mitigate range anxiety among potential [...] Read more.
While Battery Electric Vehicles (BEVs) offer environmental benefits by reducing carbon emissions during use, their range remains limited compared to conventionally fuelled vehicles. This paper focuses on identifying factors that directly influence BEV range and explores strategies to mitigate range anxiety among potential users. Specifically, it reviews the impact of battery cell characteristics and vehicle lightweighting. Using the WLTP Class 3B drive cycle, energy consumption and Depth of Discharge (DoD) were evaluated across various battery capacities. Multiple Lithium-Ion battery models were simulated to analyse discharge behaviour, while vehicle mass composition was examined to assess the effectiveness of lightweighting in extending driving range. A lower initial State of Charge (SoC) and a standard discharge rate were used to estimate the remaining range, highlighting an approximate gain of up to 6 km at lower DoD levels. This work aims to accurately demonstrate how battery technology and structural weight impact energy consumption and usable range in BEVs. Current modelling approaches often overlook the relationship between driver discomfort and battery performance metrics. The main contribution is to address the gap by integrating Li-ion discharge modelling with vehicle dynamics to estimate range and compare cell characteristics. The ultimate goal is to support cost-effective strategies for increasing BEV usability, aligning them more closely with conventional vehicle expectations and enhancing journey flexibility. Full article
(This article belongs to the Special Issue Advances in Vehicle Dynamics)
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30 pages, 8754 KiB  
Article
Multi-Objective Optimization of Gear Design of E-Axles to Improve Noise Emission and Load Distribution
by Luciano Cianciotta, Marco Cirelli and Pier Paolo Valentini
Machines 2025, 13(4), 330; https://doi.org/10.3390/machines13040330 - 17 Apr 2025
Viewed by 383
Abstract
This paper presents a comprehensive methodology to enable the optimization of an automotive electric axle to reduce noise emissions and improve load distribution. The proposed method consists of the application of two sequential optimization procedures. The first one focuses on the gears’ macro-geometry, [...] Read more.
This paper presents a comprehensive methodology to enable the optimization of an automotive electric axle to reduce noise emissions and improve load distribution. The proposed method consists of the application of two sequential optimization procedures. The first one focuses on the gears’ macro-geometry, based on an objective function that combines the contact ratio, power loss, and center distance. The second one optimizes the micro-geometry of the teeth to reduce the sound pressure generated by tooth impacts. Mechanical stress limits are considered as a constraint in the optimization process. Shafts, joints, and the electric motor are analyzed, taking into account their deformation that influences the dynamics of the entire system. The results of the proposed procedure are verified through experimental measurements and the comparison can be considered successful. Full article
(This article belongs to the Special Issue Advances in Vehicle Dynamics)
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