Energy-Efficient and Data-Driven Technologies and Controllers for Electric Vehicles
A special issue of World Electric Vehicle Journal (ISSN 2032-6653).
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 248
Special Issue Editors
Interests: model predictive control; multiphase AC drive system; railway traction system; PMSM; wireless power transmission
Interests: electric machines and drives; electric vehicles and aircraft; electric robotics and ships; renewables and microgrids; power electronics and wireless power transfer
Special Issues, Collections and Topics in MDPI journals
Interests: electric vehicle technologies; wireless power transfer; power electronics; machines and drives; biomedical power electronics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The shift to electric-powered transport is a major step in the attainment of a greener future, with fewer greenhouse gases and cleaner air. This Special Issue is devoted to investigating recent developments in data-driven control and configuration approaches for electric engines and power electronics in transportation electrification.
The integration of data analytics, AI, and machine learning into control and design solutions enables a complete system of electric machines and power electronics to be optimized in terms of performance, reliability, and efficiency. Topics of interest include, but are not limited to, the following:
- Data-enabled predictive controller design;
- Data or neural-network-based tuning methods;
- Data-driven design optimization of a traction system and its components;
- Design and control of electric machines for special applications in electrical transportation, such as electric buses, maglev, e-bikes, railways, and electric aircraft.
This Special Issue aims to gather scholarly articles that can offer meaningful insights and help to develop data-driven control and design procedures for transportation electrification. This Special Issue will also catalyze the advancement of creative data-driven technologies and approaches by encouraging communication among various fields of study.
Dr. Senyi Liu
Dr. Chunhua Liu
Dr. Wei Liu
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. 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
- electric machines
- power electronics
- data-driven control
- data-driven design optimization
- model predictive control
