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Vehicles
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Dynamics and Control of Automated Vehicles
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Dynamics and Control of Automated Vehicles

A special issue of Vehicles (ISSN 2624-8921).

Deadline for manuscript submissions: closed (5 June 2021) | Viewed by 42840

Special Issue Editors

Dr. Barys Shyrokau

E-Mail Website
Guest Editor
Department of Cognitive Robotics, Delft University of Technology, 2628 CD Delft, The Netherlands
Interests: vehicle dynamics and control; automated driving; model predictive control; optimal control
Special Issues, Collections and Topics in MDPI journals
Dr. Valentin Ivanov

E-Mail Website
Guest Editor
Automotive Engineering Group, Technische Universität Ilmenau, 98693 Ilmenau, Germany
Interests: vehicle dynamics; automotive control systems; electric vehicles; automated vehicles; chassis design; alternative powertrains; vehicle testing; motion control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

For the coming decades, automated driving (AD) is probably the most promising but also the most challenging area of innovation in the automotive industry. The relevant Roadmaps and Action Plans worldwide predict the exploitation of high automation within the 2020s, stating that safety, comfort, and user acceptance are the topics with the most research focus. Increasing requirements lead to the development of complex vehicle subsystems to achieve better operation characteristics. Another challenge related to AD is the amount of testing required. Based on Toyota studies, approximately 14.2 billion kilometers of testing are needed to make conclusions about AD safety. Large amounts of testing with diverse participants will also be needed to test and ensure AD comfort and acceptance.

For this Special Issue of Vehicles entitled “Dynamics and Control of Automated Vehicles”, we are looking for original research within this domain. The topics of interest within the scope of this Special Section include (but are not limited to) the following:

  • Novel design of AD powertrain and chassis subsystems;
  • Predictive and learning based methods to improve AD safety and performance;
  • Estimation and sensing for AD vehicle;
  • User-automated vehicle interaction focusing on AD comfort and acceptance;
  • New testing and assessment methods for rapid AD evaluation;
  • Fail-safety aspects of AD design.

Dr. Valentin Ivanov
Dr. Barys Shyrokau
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. Vehicles is an international peer-reviewed open access quarterly 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 1600 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

  • Automated driving
  • New vehicle concepts
  • Vehicle dynamics
  • Vehicle control
  • Driving comfort
  • Human–machine interaction
  • Driving simulator
  • Chassis engineering
  • Fail-safety
  • Testing

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Published Papers (7 papers)

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Research

15 pages, 22256 KiB  
Article
Radar Target Simulation for Vehicle-in-the-Loop Testing
by Axel Diewald, Clemens Kurz, Prasanna Venkatesan Kannan, Martin Gießler, Mario Pauli, Benjamin Göttel, Thorsten Kayser, Frank Gauterin and Thomas Zwick
Vehicles 2021, 3(2), 257-271; https://doi.org/10.3390/vehicles3020016 - 19 May 2021
Cited by 30 | Viewed by 6994
Abstract
Automotive radar sensors play a vital role in the current development of autonomous driving. Their ability to detect objects even under adverse conditions makes them indispensable for environment-sensing tasks in autonomous vehicles. As their functional operation must be validated in-place, a fully integrated [...] Read more.
Automotive radar sensors play a vital role in the current development of autonomous driving. Their ability to detect objects even under adverse conditions makes them indispensable for environment-sensing tasks in autonomous vehicles. As their functional operation must be validated in-place, a fully integrated test system is required. Radar Target Simulators (RTS) are capable of executing end-of-line, over-the-air validation tests by looping back a received and afterward modified radar signal and have been incorporated into existing Vehicle-in-the-Loop (ViL) test beds before. However, the currently available ViL test beds and the RTS systems that they consist of lack the ability to generate authentic radar echoes with respect to their complexity. The paper at hand reviews the current development stage of the research as well as commercial ViL and RTS systems. Furthermore, the concept and implementation of a new test setup for the rapid prototyping and validation of ADAS functions is presented. This represents the first-ever integrated radar validation test system to comprise multiple angle-resolved radar target channels, each capable of generating multiple radar echoes. A measurement campaign that supports this claim has been conducted. Full article
(This article belongs to the Special Issue Dynamics and Control of Automated Vehicles)
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21 pages, 23355 KiB  
Article
Study on Friction in Automotive Shock Absorbers Part 1: Friction Simulation Using a Dynamic Friction Model in the Contact Zone of an FEM Model
by Ludwig Herzog and Klaus Augsburg
Vehicles 2021, 3(2), 212-232; https://doi.org/10.3390/vehicles3020014 - 14 May 2021
Cited by 3 | Viewed by 5309
Abstract
The important change in the transition from partial to high automation is that a vehicle can drive autonomously, without active human involvement. This fact increases the current requirements regarding ride comfort and dictates new challenges for automotive shock absorbers. There exist two common [...] Read more.
The important change in the transition from partial to high automation is that a vehicle can drive autonomously, without active human involvement. This fact increases the current requirements regarding ride comfort and dictates new challenges for automotive shock absorbers. There exist two common types of automotive shock absorber with two friction types: The intended viscous friction dissipates the chassis vibrations, while the unwanted solid body friction is generated by the rubbing of the damper’s seals and guides during actuation. The latter so-called static friction impairs ride comfort and demands appropriate friction modeling for the control of adaptive or active suspension systems. In this article, a simulation approach is introduced to model damper friction based on the most friction-relevant parameters. Since damper friction is highly dependent on geometry, which can vary widely, three-dimensional (3D) structural FEM is used to determine the deformations of the damper parts resulting from mounting and varying operation conditions. In the respective contact zones, a dynamic friction model is applied and parameterized based on the single friction point measurements. Subsequent to the parameterization of the overall friction model with geometry data, operation conditions, material properties and friction model parameters, single friction point simulations are performed, analyzed and validated against single friction point measurements. It is shown that this simulation method allows for friction prediction with high accuracy. Consequently, its application enables a wide range of parameters relevant to damper friction to be investigated with significantly increased development efficiency. Full article
(This article belongs to the Special Issue Dynamics and Control of Automated Vehicles)
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15 pages, 6357 KiB  
Article
Study on Friction in Automotive Shock Absorbers Part 2: Validation of Friction Simulations via Novel Single Friction Point Test Rigs
by Ludwig Herzog and Klaus Augsburg
Vehicles 2021, 3(2), 197-211; https://doi.org/10.3390/vehicles3020013 - 13 May 2021
Cited by 4 | Viewed by 2322
Abstract
The most important change in the transition from partial to high automation is that the vehicle can drive autonomously, without active human involvement. This fact increases the current requirements regarding ride comfort and dictates new challenges for automotive shock absorbers. There exist two [...] Read more.
The most important change in the transition from partial to high automation is that the vehicle can drive autonomously, without active human involvement. This fact increases the current requirements regarding ride comfort and dictates new challenges for automotive shock absorbers. There exist two common types of automotive shock absorbers with two friction types. The intended viscous friction dissipates the chassis’ vibrations, while the unwanted solid body friction is generated by the rubbing of the damper’s seals and guides during actuation. The latter so-called static friction impairs ride comfort and demands appropriate friction modeling for the control of adaptive or active suspension systems. In the current article, the simulation approach introduced in part 1 of this study is validated against a single friction point and full damper friction measurements. To achieve that, a friction measurement method with novel test rigs has been developed, which allows for reliable determination of the friction behavior of each single friction point, while appropriately resembling the operating conditions of the real damper. The subsequent presentation of a friction simulation using friction model parameters from different geometry shows the general applicability of the overall friction investigation methodology. Accordingly, the presented simulation and measurement approaches enable the investigation of dynamic friction in automotive shock absorbers with significantly increased development efficiency. Full article
(This article belongs to the Special Issue Dynamics and Control of Automated Vehicles)
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17 pages, 4732 KiB  
Article
Integrated Braking Control for Electric Vehicles with In-Wheel Propulsion and Fully Decoupled Brake-by-Wire System
by Marius Heydrich, Vincenzo Ricciardi, Valentin Ivanov, Matteo Mazzoni, Alessandro Rossi, Jože Buh and Klaus Augsburg
Vehicles 2021, 3(2), 145-161; https://doi.org/10.3390/vehicles3020009 - 25 Mar 2021
Cited by 28 | Viewed by 8088
Abstract
This paper introduces a case study on the potential of new mechatronic chassis systems for battery electric vehicles, in this case a brake-by-wire (BBW) system and in-wheel propulsion on the rear axle combined with an integrated chassis control providing common safety features like [...] Read more.
This paper introduces a case study on the potential of new mechatronic chassis systems for battery electric vehicles, in this case a brake-by-wire (BBW) system and in-wheel propulsion on the rear axle combined with an integrated chassis control providing common safety features like anti-lock braking system (ABS), and enhanced functionalities, like torque blending. The presented controller was intended to also show the potential of continuous control strategies with regard to active safety, vehicle stability and driving comfort. Therefore, an integral sliding mode (ISM) and proportional integral (PI) control were used for wheel slip control (WSC) and benchmarked against each other and against classical used rule-based approach. The controller was realized in MatLab/Simulink and tested under real-time conditions in IPG CarMaker simulation environment for experimentally validated models of the target vehicle and its systems. The controller also contains robust observers for estimation of non-measurable vehicle states and parameters e.g., vehicle mass or road grade, which can have a significant influence on control performance and vehicle safety. Full article
(This article belongs to the Special Issue Dynamics and Control of Automated Vehicles)
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18 pages, 4492 KiB  
Article
Comparison of Typical Controllers for Direct Yaw Moment Control Applied on an Electric Race Car
by Andoni Medina, Guillermo Bistue and Angel Rubio
Vehicles 2021, 3(1), 127-144; https://doi.org/10.3390/vehicles3010008 - 27 Feb 2021
Cited by 13 | Viewed by 5622
Abstract
Direct Yaw Moment Control (DYC) is an effective way to alter the behaviour of electric cars with independent drives. Controlling the torque applied to each wheel can improve the handling performance of a vehicle making it safer and faster on a race track. [...] Read more.
Direct Yaw Moment Control (DYC) is an effective way to alter the behaviour of electric cars with independent drives. Controlling the torque applied to each wheel can improve the handling performance of a vehicle making it safer and faster on a race track. The state-of-the-art literature covers the comparison of various controllers (PID, LPV, LQR, SMC, etc.) using ISO manoeuvres. However, a more advanced comparison of the important characteristics of the controllers’ performance is lacking, such as the robustness of the controllers under changes in the vehicle model, steering behaviour, use of the friction circle, and, ultimately, lap time on a track. In this study, we have compared the controllers according to some of the aforementioned parameters on a modelled race car. Interestingly, best lap times are not provided by perfect neutral or close-to-neutral behaviour of the vehicle, but rather by allowing certain deviations from the target yaw rate. In addition, a modified Proportional Integral Derivative (PID) controller showed that its performance is comparable to other more complex control techniques such as Model Predictive Control (MPC). Full article
(This article belongs to the Special Issue Dynamics and Control of Automated Vehicles)
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16 pages, 2272 KiB  
Article
Musculoskeletal Driver Model for the Steering Feedback Controller
by Lydia Schenk, Tushar Chugh, Fredrik Bruzelius and Barys Shyrokau
Vehicles 2021, 3(1), 111-126; https://doi.org/10.3390/vehicles3010007 - 24 Feb 2021
Cited by 3 | Viewed by 3716
Abstract
This paper aims to find a mathematical justification for the non-linear steady state steering haptic response as a function of driver arm posture. Experiments show that different arm postures, that is, same hands location on the steering wheel but at different initial steering [...] Read more.
This paper aims to find a mathematical justification for the non-linear steady state steering haptic response as a function of driver arm posture. Experiments show that different arm postures, that is, same hands location on the steering wheel but at different initial steering angles, result in a change in maximum driver arm stiffness. This implies the need for different steering torque response as a function of steering angle, which is under investigation. A quasi-static musculoskeletal driver model considering elbow and shoulder joints is developed for posture analysis. The torque acting in the shoulder joint is higher than in the elbow. The relationship between the joint torque and joint angle is linear in the shoulder, whereas the non-linearity occurs in the elbow joint. The simulation results qualitatively indicate a similar pattern as compared to the experimental muscle activity results. Due to increasing muscle non-linearity at high steering angles, the arm stiffness decreases and then the hypothesis suggests that the effective steering stiffness is intentionally reduced for a consistent on-center haptic response. Full article
(This article belongs to the Special Issue Dynamics and Control of Automated Vehicles)
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23 pages, 6697 KiB  
Article
MPC-Based Motion-Cueing Algorithm for a 6-DOF Driving Simulator with Actuator Constraints
by Yash Raj Khusro, Yanggu Zheng, Marco Grottoli and Barys Shyrokau
Vehicles 2020, 2(4), 625-647; https://doi.org/10.3390/vehicles2040036 - 2 Dec 2020
Cited by 28 | Viewed by 9289
Abstract
Driving simulators are widely used for understanding human–machine interaction, driver behavior and in driver training. The effectiveness of simulators in this process depends largely on their ability to generate realistic motion cues. Though the conventional filter-based motion-cueing strategies have provided reasonable results, these [...] Read more.
Driving simulators are widely used for understanding human–machine interaction, driver behavior and in driver training. The effectiveness of simulators in this process depends largely on their ability to generate realistic motion cues. Though the conventional filter-based motion-cueing strategies have provided reasonable results, these methods suffer from poor workspace management. To address this issue, linear MPC-based strategies have been applied in the past. However, since the kinematics of the motion platform itself is nonlinear and the required motion varies with the driving conditions, this approach tends to produce sub-optimal results. This paper presents a nonlinear MPC-based algorithm which incorporates the nonlinear kinematics of the Stewart platform within the MPC algorithm in order to increase the cueing fidelity and use maximum workspace. Furthermore, adaptive weights-based tuning is used to smooth the movement of the platform towards its physical limits. Full-track simulations were carried out and performance indicators were defined to objectively compare the response of the proposed algorithm with classical washout filter and linear MPC-based algorithms. The results indicate a better reference tracking with lower root mean square error and higher shape correlation for the proposed algorithm. Lastly, the effect of the adaptive weights-based tuning was also observed in the form of smoother actuator movements and better workspace use. Full article
(This article belongs to the Special Issue Dynamics and Control of Automated Vehicles)
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