Deep Learning Applications for Electric Vehicles
A special issue of World Electric Vehicle Journal (ISSN 2032-6653).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 21026
Special Issue Editor
Interests: power electronics control; renewable energy integration; smart grid; energy management; grid-connected converters; electrical drive applications
Special Issue Information
Dear Colleagues,
As consumers look for greener transportation options, interest in electric vehicles has increased around the world. Deep learning has proven to be an effective approach for enhancing the functionality and effectiveness of electric cars. The latest knowledge in electric vehicle battery management systems, energy optimization, and autonomous driving enabled by deep learning is the focus of this Special Issue.
This Special Issue will feature a wide range of articles discussing the use of deep learning in battery management systems. In these sections, we will investigate the possibility of using deep neural networks to monitor the health and life of EV batteries. Following this, we will also explore deep learning's potential for energy optimization, with the ultimate aim of increasing EV range and performance.
Deep learning's use in autonomous driving for electric vehicles is also covered here. Recent advances in training deep neural networks to recognize and respond to a wide variety of road conditions and obstacles will be presented in these articles, paving the way towards fully autonomous driving.
Overall, this Special Issue is an excellent forum for presenting novel applications of deep learning within the subject of electric vehicles. We hope to shed light on how deep learning has the potential to significantly improve the longevity and efficiency of the electric car sector.
Dr. Ahmed F. Ebrahim
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
- deep learning
- electric vehicles
- battery management systems
- energy optimization
- autonomous driving
- neural networks
- machine learning
- predictive control
- sustainable transportation
- EV industry
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