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Future Powertrain Technologies

Special Issue Information

Dear Colleagues,

In recent years, we have been able to follow exciting progress in the research area of future powertrain technologies. Driven by problems and trends of huge public interest—such as climate change and digitalization—new, disruptive technologies have been of great interest. The increasing number of alternative powertrain solutions as well as the growing use of new methodologies like machine learning, optimization, and the use of big data within powertrain applications are promising developments for addressing pertinent topics. Prominent examples include sustainable individual mobility regarding efficiency and emissions, passenger comfort, and powertrain applications for autonomous driving.

For this Special Issue of Vehicles entitled “Future Powertrain Technologies”, we are seeking original contributions within this research area. Topics include but are not limited to new powertrain topologies and concepts, developments to increase efficiency and reduce emissions, naturalistic driving studies, and the application of modern methods in powertrain applications and design.

Prof. Dr. Stephan Rinderknecht
Guest Editor

Philippe Jardin
Arved Esser
Guest Editor Assistants

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 250 words) can be sent to the Editorial Office for assessment.

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

  • new powertrain concepts
  • optimization for powertrain design
  • naturalistic driving
  • machine learning
  • vehicle efficiency

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Published Papers

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Vehicles - ISSN 2624-8921