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Machines
Special Issues
Chassis Coordinated Control of Vehicles
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Chassis Coordinated Control of Vehicles

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

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 5994

Special Issue Editors

Dr. Xudong Zhang

E-Mail Website
Guest Editor
National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, and Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Institute of Technology, Beijing 100081, China
Interests: vehicle dynamics control; energy management strategy design; path planning for unmanned ground vehicles
Dr. Chen Lyu

E-Mail Website
Guest Editor
Associate Professor, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
Interests: automated driving; human–machine systems; intelligent electric vehicles; human–robot collaboration; cyber–physical systems
Special Issues, Collections and Topics in MDPI journals
Dr. Weichao Zhuang

E-Mail Website
Guest Editor
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
Interests: vehicle dynamics and control; automotive powertrain design and optimization; clean energy vehicles; connected and automated vehicles; multi-agent control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nowadays, vehicles are the most widely used means of transportation in our daily lives. The advanced control of vehicle chassis is an attractive theme that has been pursued by manufacturers and researchers, and it can certainly exert chassis configuration advantages. As a highly complex system, there are lots of actuators and sensors in a vehicle chassis, causing control difficulties. Moreover, several control objectives and function implementations greatly rely on the development of control strategies.

There are several targets for vehicle chassis control, such as handling stability, energy economy, drive comfort, and fault tolerance. However, there are difficulties with strategy developments. For example, handling and stability affect the driver and vehicle safety, respectively, and these considerably conflict when tire forces are high. Meanwhile, uncertainties in state information also affect the control performance, creating control challenges. To gain a good overall performance, coordinated control issues need to be addressed, which is challenging since the objectives are in conflict in many cases. This Special Issue encourages researchers working in this field to share their latest results for control and estimation that are relevant for the coordinated control of vehicle chassis.

As a machine applied in daily life, vehicle chassis control of great importance for driver safety and comfort. There are several issues in chassic control that need to be solved. For example, handling stability is a critical index used to evaluate the vehicle performance. Moreover, energy economy is also key, as it influences the driving mileage and customer cost. Hence, we aim to encourage researchers working in this field to share their studies on cthe oordinated control of vehicle chassis. This topic is related to machines control and thus fits the scope of Machines. 

Dr. Xudong Zhang
Dr. Chen Lv
Dr. Weichao Zhuang
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

  • coordinated control
  • chassis control
  • advanced intelligent control
  • data-driven modelling and control
  • vehicle dynamic modelling
  • machine learning algorithms and optimization
  • vehicle to everything information

Published Papers (3 papers)

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Research

25 pages, 7480 KiB  
Article
Integrated Path Tracking and Lateral Stability Control with Four-Wheel Independent Steering for Autonomous Electric Vehicles on Low Friction Roads
by Yonghwan Jeong and Seongjin Yim
Machines 2022, 10(8), 650; https://0-doi-org.brum.beds.ac.uk/10.3390/machines10080650 - 04 Aug 2022
Cited by 9 | Viewed by 2177
Abstract
This paper presents a method to design an integrated path tracking and lateral stability controller for an autonomous electric vehicle with four-wheel independent steering (4WIS) on low friction roads. Recent advances in autonomous driving have led to extensive studies on path tracking control. [...] Read more.
This paper presents a method to design an integrated path tracking and lateral stability controller for an autonomous electric vehicle with four-wheel independent steering (4WIS) on low friction roads. Recent advances in autonomous driving have led to extensive studies on path tracking control. However, path tracking is difficult on low friction roads. In this paper, path tracking control was converted to the yaw rate tracking one to cope with problems caused by low friction roads. To generate a reference yaw rate for path tracking, we present several methods using a driver model and a target path. For yaw rate tracking, we designed a controller with a two-layer control hierarchy, i.e., upper and lower layers. The control yaw moment was calculated using a direct yaw moment controller in the upper layer. In the low layer, a control allocation method was adopted to allocate the control yaw moment into steering angles of 4WIS. To verify the performance of the proposed controller, we conducted a simulation on vehicle simulation software. From the simulation results, it is shown that the proposed controller is effective for path tracking and lateral stability on low friction roads. To analyze path tracking and lateral stability performance of the proposed controller on low friction roads, the effects of the steady-state yaw rate gain are investigated from the simulation results. Full article
(This article belongs to the Special Issue Chassis Coordinated Control of Vehicles)
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15 pages, 4959 KiB  
Article
Study on the Temperature Rise Characteristics of Successive Clutch Shifting Considering the Disengaged Friction Pair Gaps
by Liangjie Zheng, Biao Ma, Man Chen, Liang Yu, Qian Wang and Jiaqi Xue
Machines 2022, 10(7), 576; https://0-doi-org.brum.beds.ac.uk/10.3390/machines10070576 - 17 Jul 2022
Cited by 2 | Viewed by 1157
Abstract
The clutch temperature rise characteristics in successive shifting conditions are crucial to its thermal stability and thermal safety. In the present paper, a comprehensive numerical model is proposed to investigate the temperature change of separator discs during successive shifting with the consideration of [...] Read more.
The clutch temperature rise characteristics in successive shifting conditions are crucial to its thermal stability and thermal safety. In the present paper, a comprehensive numerical model is proposed to investigate the temperature change of separator discs during successive shifting with the consideration of convection heat transfer in disengaged friction pair gaps, which is validated by repeated shifting experiments on the SAE#2 test bench. Since the second separator disc near the piston has the widest disengaged gaps and double-sided heat input, its temperature rise and temperature drop are the highest. The temperature rise gradually equals the temperature drop with the increasing working cycle, then the maximum clutch temperature no longer increases. The longer the shifting interval, the better the heat dissipation is, thus the lower the accumulated temperature rise. Moreover, the increasing lubrication oil temperature reduces the convection heat transfer and increases the temperature rise in an engaging process, but the accumulated temperature rise does not increase due to the widened friction pair gaps. This paper can obtain the temperature rise characteristics of a wet multi-disc clutch concerning its disengaged gaps during successive shifting, which is a promising candidate for investigating its overall performance. Full article
(This article belongs to the Special Issue Chassis Coordinated Control of Vehicles)
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17 pages, 4348 KiB  
Article
Towards Active Safety Driving: Controller Design of an Active Rear Steering System for Intelligent Vehicles
by Peng Hang and Xinbo Chen
Machines 2022, 10(7), 544; https://0-doi-org.brum.beds.ac.uk/10.3390/machines10070544 - 05 Jul 2022
Cited by 3 | Viewed by 1820
Abstract
To advance the active safety performance for vehicles, especially in extreme conditions, an active rear steering (ARS) control system is designed in this paper. A driver model is established to simulate the driving behaviour of a human driver who is in charge of [...] Read more.
To advance the active safety performance for vehicles, especially in extreme conditions, an active rear steering (ARS) control system is designed in this paper. A driver model is established to simulate the driving behaviour of a human driver who is in charge of the front steering control. In the ARS control system, the sliding mode predictive control (SMPC) approach is applied to the ARS controller design based on a 3 degrees of freedom (DoF) nonlinear vehicle model. In the ARS controller design, four kinds of active safety performances are considered, namely, path-tracking performance, handling performance, lateral stability, and rollover prevention. Furthermore, the priority of the four kinds of active safety performance is defined. According to the control priority, an event-triggered mechanism (ETM) is designed to adjust the SMPC controller of the ARS system to address different driving conditions. Finally, two simulation cases are conducted to evaluate the performance of the proposed ARS system. The results show that the ARS system is in favour of the active safety performance advancement for human drivers. Additionally, the comparative simulation indicates that the SMPC algorithm is superior to the fast terminal sliding mode control (FTSMC) algorithm. Full article
(This article belongs to the Special Issue Chassis Coordinated Control of Vehicles)
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