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Advances in Vehicle System Dynamics and Control
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Advances in Vehicle System Dynamics and Control

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: 20 May 2025 | Viewed by 3792

Special Issue Editors

Dr. Jianhua Guo

E-Mail Website
Guest Editor
State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
Interests: new energy vehicle power system modeling and matching optimization; vehicle control technology research and vehicle controller development; intelligent control and energy consumption prediction of new energy vehicles based on intelligent transportation and intelligent network
Dr. Liang Wu

E-Mail Website
Guest Editor
State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China
Interests: body attitude control; all-terrain intelligent chassis integrated control; on-board multi-dimensional vibration isolation control; all-terrain intelligent chassis design and development

Special Issue Information

Dear Colleagues,

Vehicle dynamics and control is the study of the motion and behavior of vehicles and the methods used to control their movements. It plays a vital role in enhancing vehicle performance, safety, and comfort, encompassing a wide range of technologies and principles to optimize the behavior and control of vehicles in various driving conditions.

This Special Issue focuses on some of the main research directions included in the field of vehicle dynamics and control such as vehicle kinematics and dynamics; suspension systems; tire mechanics; vehicle stability control; vehicle powertrain control; autonomous driving technologies; vehicle simulation and testing; and so on. These research directions are interconnected and aim to improve vehicle performance, safety, and driver comfort, driving forward advancements in automotive engineering and transportation technology.

Researchers from universities, research institutes, and industry are cordially invited to submit original articles on this topic.

Dr. Jianhua Guo
Dr. Liang Wu
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. Applied Sciences is an international peer-reviewed open access semimonthly 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
  • vehicle control
  • stability control
  • traction control
  • suspension systems
  • tire mechanics
  • braking systems
  • steering systems
  • powertrain control
  • autonomous vehicles
  • stability control (ESC)
  • anti-lock braking systems (ABS)
  • traction control systems (TCS)
  • vehicle stability control systems
  • active suspension systems
  • vehicle motion analysis
  • vehicle performance optimization
  • vehicle handling
  • vehicle simulation
  • vehicle testing

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Published Papers (4 papers)

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Research

17 pages, 5064 KiB  
Article
Robust Static Output Feedback Control of a Semi-Active Vehicle Suspension Based on Magnetorheological Dampers
by Fernando Viadero-Monasterio, Miguel Meléndez-Useros, Manuel Jiménez-Salas and Beatriz López Boada
Appl. Sci. 2024, 14(22), 10336; https://doi.org/10.3390/app142210336 - 10 Nov 2024
Viewed by 442
Abstract
This paper proposes a novel design method for a magnetorheological (MR) damper-based semi-active suspension system. An improved MR damper model that accurately describes the hysteretic nature and effect of the applied current is presented. Given the unfeasibility of installing sensors for all vehicle [...] Read more.
This paper proposes a novel design method for a magnetorheological (MR) damper-based semi-active suspension system. An improved MR damper model that accurately describes the hysteretic nature and effect of the applied current is presented. Given the unfeasibility of installing sensors for all vehicle states, an MR damper current controller that only considers the suspension deflection and deflection rate is proposed. A linear matrix inequality problem is formulated to design the current controller, with the objective of enhancing ride safety and comfort while guaranteeing vehicle stability and robustness against any road disturbance. A series of experiments demonstrates the enhanced performance of the proposed MR damper model, which exhibits greater accuracy than other state-of-the-art damper models, such as Bingham or bi-viscous. An evaluation of the vehicle behavior under two simulated road scenarios has been conducted to demonstrate the performance of the proposed output feedback MR damper-based semi-active suspension system. Full article
(This article belongs to the Special Issue Advances in Vehicle System Dynamics and Control)
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20 pages, 11618 KiB  
Article
Acceleration Slip Regulation Control Method for Distributed Electric Drive Vehicles under Icy and Snowy Road Conditions
by Xuemei Sun, Zehui Xiao, Zhou Wang, Xiaojiang Zhang and Jiuchen Fan
Appl. Sci. 2024, 14(15), 6803; https://doi.org/10.3390/app14156803 - 4 Aug 2024
Viewed by 828
Abstract
To achieve a rapid and stable dynamic response of the drive anti-slip system for distributed electric vehicles on low-friction surfaces, this paper proposes an adaptive acceleration slip regulation control strategy based on wheel slip rate. An attachment coefficient fusion estimation algorithm based on [...] Read more.
To achieve a rapid and stable dynamic response of the drive anti-slip system for distributed electric vehicles on low-friction surfaces, this paper proposes an adaptive acceleration slip regulation control strategy based on wheel slip rate. An attachment coefficient fusion estimation algorithm based on an improved singular value decomposition unscented Kalman filter is designed. This algorithm combines Sage–Husa with the unscented Kalman filter for adaptive improvement, allowing for the quick and accurate determination of the road friction coefficient and, subsequently, the optimal slip rate. Additionally, a slip rate control strategy based on dynamic adaptive compensation sliding mode control is designed, which introduces a dynamic weight integral function into the control rate to adaptively adjust the integral effect based on errors, with its stability proven. To verify the performance of the road estimator and slip rate controller, a model is built with vehicle simulation software, and simulations are conducted. The results show that under icy and snowy road conditions, the designed estimator can reduce estimation errors and respond rapidly to sudden changes. Compared to traditional equivalent controllers, the designed controller can effectively reduce chattering, decrease overshoot, and shorten response time. Especially during road transitions, the designed controller demonstrates better dynamic performance and stability. Full article
(This article belongs to the Special Issue Advances in Vehicle System Dynamics and Control)
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22 pages, 11126 KiB  
Article
Analytical Investigation of Vertical Force Control in In-Wheel Motors for Enhanced Ride Comfort
by Chanoknan Bunlapyanan, Sunhapos Chantranuwathana and Gridsada Phanomchoeng
Appl. Sci. 2024, 14(15), 6582; https://doi.org/10.3390/app14156582 - 27 Jul 2024
Viewed by 826
Abstract
This study explores the effectiveness of vertical force control in in-wheel motors (IWMs) to enhance ride comfort in electric vehicles (EVs). A dynamic vehicle model and a proportional ride-blending controller were used to reduce vertical vibrations of the sprung mass. By converting the [...] Read more.
This study explores the effectiveness of vertical force control in in-wheel motors (IWMs) to enhance ride comfort in electric vehicles (EVs). A dynamic vehicle model and a proportional ride-blending controller were used to reduce vertical vibrations of the sprung mass. By converting the state-space model into a transfer function, the system’s frequency response was evaluated using road profiles generated according to ISO 8608 standards and converted into Power Spectral Density (PSD) inputs. The frequency-weighted acceleration (aw) was calculated based on ISO 2631 standards to measure ride comfort improvements. The results showed that increasing the proportional gain (Kp) effectively reduced the frequency-weighted acceleration and the RMS of the vertical acceleration of the sprung mass. However, the proportional gain could not be increased indefinitely due to the torque limitations of the IWMs. Optimal proportional gains for various road profiles demonstrated significant improvements in ride comfort. This study concludes that advanced suspension technologies, including the proportional ride-blending controller, can effectively mitigate the challenges of increased unsprung mass in IWM vehicles, thereby enhancing ride quality and vehicle dynamics. Full article
(This article belongs to the Special Issue Advances in Vehicle System Dynamics and Control)
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20 pages, 2784 KiB  
Article
Path Tracking Control with Constraint on Tire Slip Angles under Low-Friction Road Conditions
by Jaepoong Lee and Seongjin Yim
Appl. Sci. 2024, 14(3), 1066; https://doi.org/10.3390/app14031066 - 26 Jan 2024
Cited by 3 | Viewed by 1047
Abstract
This paper presents a method to design a path tracking controller with a constraint on tire slip angles under low-friction road conditions. On a low-friction road surface, a lateral tire force is easily saturated and decreases as a tire slip angle increases by [...] Read more.
This paper presents a method to design a path tracking controller with a constraint on tire slip angles under low-friction road conditions. On a low-friction road surface, a lateral tire force is easily saturated and decreases as a tire slip angle increases by a large steering angle. Under this situation, a path tracking controller cannot achieve its maximum performance. To cope with this problem, it is necessary to limit tire slip angles to a value where the maximum lateral tire force is achieved. The most commonly used controllers for path tracking, linear quadratic regulator (LQR) and model predictive control (MPC), are adopted as a controller design methodology. The control inputs of LQR and MPC are front and rear steering angles and control yaw moment, which have been widely used for path tracking. The constraint derived from tire slip angles is imposed on the steering angles of LQR and MPC. To fully verify the performance of the path tracking controller with the constraint on tire slip angles, a simulation is conducted on vehicle simulation software. From the simulation results, it is shown that the path tracking controller with the constraint on tire slip angles presented in this paper is quite effective for path tracking on low-friction road surface. Full article
(This article belongs to the Special Issue Advances in Vehicle System Dynamics and Control)
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