Electric Vehicle Autonomous Driving Control

Special Issue Editor


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Guest Editor
Systems and Control Laboratory, Institute for Computer Science and Control (SZTAKI), Eötvös Loránd Research Network (ELKH), H-1111 Budapest, Hungary
Interests: vehicle dynamics; robust control; machine learning-based control; state estimation
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Special Issue Information

Dear Colleagues,

In recent years, the development of fully electric vehicles has become the primary focus of the automotive industry. Electric vehicles also provide a solid platform for autonomous driving due to their lower complexity compared to traditional, combustion engine-based vehicles. However, in order to reduce the manufacturing cost, expensive sensors must be avoided. Therefore, the control and estimation algorithms employed must be robust enough to deal with the inaccuracy of low-cost sensors.

This Special Issue focuses on the following problems:

  1. The lateral and longitudinal control of autonomous vehicles, which can extend the operational range of fully electric vehicles.
  2. Battery management and look-ahead control strategies.
  3. The estimation of the non-measurable or costly measurable states of the vehicle.

This Special Issue also welcomes the submission of both theoretical and experimental unpublished results.

Dr. Daniel Fenyes
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 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. World Electric Vehicle Journal 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 1400 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

  • control of autonomous vehicles
  • battery management
  • look-ahead control
  • state estimation
  • robust control
  • machine learning techniques

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Published Papers

This special issue is now open for submission.
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