Special Issue "Advanced Control and Estimation Concepts, and New Hardware Topologies for Future Mobility"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "Electric Vehicles".

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editor

Prof. Dr. Francis F. Assadian
Website
Guest Editor
Department of Mechanical and Aerospace Engineering, University of California Davis, Davis, CA 95616, USA
Interests: mathematical modeling and simulation of dynamic systems—bond graph approach; vehicle dynamics; global chassis control systems; alternative powertrain; energy optimization; automatic control; robust control

Special Issue Information

Dear Colleagues,

According to the National Research Council, the use of embedded systems throughout society could dominate previous milestones in the information revolution.

Mechatronics is the synergistic combination of electronic, mechanical, controls, software, and systems engineering in the design of processes and products. Mechatronic systems put “intelligence” into physical systems. Embedded sensors/actuators/processors are integral parts of mechatronic systems.

On the one hand, the implementation of mechatronic systems is on the continuous rise, especially in the applications of Future Mobility. On the other hand, manufacturers are working hard to reduce the implementation cost of these systems while trying not to comprise product quality. One way of addressing these conflicting objectives is through automatic controls and virtual sensing.

Therefore, this Special Issue seeks to contribute to advanced control and estimation concepts and new hardware topologies for future mobility. Topics of interest for publication include, but are not limited to:

  • New sensor fusion concepts;
  • Integrated vehicle dynamics and control architectures (IVDC);
  • New energy management and vehicle controls;
  • Steer by wire and advanced steering systems and controls;
  • New topologies for braking Systems including brake system optimization;
  • New traction and anti-lock braking control methods;
  • Advanced control methods for vehicle suspensions;
  • Low calibration estimation concepts;
  • Control and optimization of electric vehicles;
  • New alternative powertrains for Future Mobility;
  • Application of energy harvesting in Future Mobility;
  • New passive and active methods for vehicle dynamics improvement of Future Mobility.

Prof. Dr. Francis F. Assadian
Guest Editor

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 papers will be 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. Energies 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 1800 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

  • estimation
  • sensor fusion
  • alternative powertrain
  • electric vehicles
  • vehicle dynamics
  • advanced control
  • energy harvesting
  • steering; suspension
  • braking systems
  • traction
  • ABS

Published Papers (1 paper)

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Research

Open AccessArticle
Active Disturbance Rejection Control of Differential Drive Assist Steering for Electric Vehicles
Energies 2020, 13(10), 2647; https://doi.org/10.3390/en13102647 - 22 May 2020
Abstract
The differential drive assist steering (DDAS) system makes full use of the advantages of independent control of wheel torque of electric vehicle driven by front in-wheel motors to achieve steering assistance and reduce the steering effort of the driver, as the electric power [...] Read more.
The differential drive assist steering (DDAS) system makes full use of the advantages of independent control of wheel torque of electric vehicle driven by front in-wheel motors to achieve steering assistance and reduce the steering effort of the driver, as the electric power steering (EPS) system does. However, as an indirect steering assist technology that applies steering system assistance via differential drive, its linear control algorithm, like existing proportion integration differentiation (PID) controllers, cannot take the nonlinear characteristics of the tires’ dynamics into account which results in poor performance in road feeling and tracking accuracy. This paper introduces an active disturbance rejection control (ADRC) method into the control issue of the DDAS. First, the third-order ADRC controller of the DDAS is designed, and the simulated annealing algorithm is used to optimize the parameters of ADRC controller offline considering that the parameters of ADRC controller are too many and the parameter tuning is complex. Finally, the 11-DOF model of the electric vehicle driven by in-wheel motors is built, and the standard working conditions are selected for simulation and experimental verification. The results show that the ADRC controller designed in this paper can not only obviously reduce the steering wheel effort of the driver like PID controller, but also have better nonlinear control performance in tracking accuracy and smooth road feeling of the driver than the traditional PID controller. Full article
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

1. Prof. Ilya Kolmanovsky,  University of Michigan, Energy-Efficient Control for Autonomous Electric Vehicles in Interactive Traffic Using Cognitive Driver Behavioral Models.

2. Prof. Junnian Wang, Jilin University, Active Disturbance Rejection Control of Differential Drive Assist Steering for EV.

3.Prof. Joško Deur, University of Zagreb, Active Disturbance Rejection Control of Differential Drive Assist Steering for EV.

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