Dynamic Control of Traction Motors for EVs
A special issue of World Electric Vehicle Journal (ISSN 2032-6653).
Deadline for manuscript submissions: 31 December 2024 | Viewed by 2400
Special Issue Editors
2. Energy Intelligence Research and Innovation Center (CR2ie), 175, Rue De La Vérendrye, Sept-Îles, QC, Canada
Interests: control and design of microgrids; renewable energy generation and applications; energy storage systems; digital twin
Interests: UPQC; power quality; harmonic compensation; active power filters; statcom; dstatcom; renewable energy; wind energy; solar energy; integration with grid
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We invite researchers, academicians, and industry experts to contribute to our Special Issue focusing on the "Dynamic Control of Traction Motors for EVs". As electric vehicles continue to revolutionize the automotive landscape, the efficient and dynamic control of traction motors becomes paramount for achieving optimal performance, energy efficiency, and overall sustainability.
This Special Issue aims to explore advancements in the dynamic control strategies, algorithms, and technologies employed in traction motors for electric vehicles. Topics of interest include, but are not limited to, the following:
- Advanced control algorithms:
- Model predictive control (MPC);
- Adaptive control strategies;
- Machine learning-based approaches.
- Real-time optimization techniques:
- Dynamic programming;
- Sliding mode control;
- Nonlinear control methods.
- Fault diagnosis and tolerance:
- Fault detection and isolation;
- Fault-tolerant control;
- Reliability analysis.
- Integration with vehicle systems:
- Powertrain control integration;
- Energy management strategies;
- Cooperative control with other vehicle components.
- Hardware and software solutions:
- Embedded systems for traction motor control;
- Hardware-in-the-loop (HIL) simulations;
- Cyber–physical systems for EVs.
- Energy efficiency and sustainability:
- Regenerative braking systems;
- Energy harvesting techniques;
- Life cycle assessment of control strategies.
- Battery charging technologies:
- Onboard–offboard charging technologies;
- Fast charging techniques;
- Wireless charging technologies;
- Green chargers.
- Battery management systems (BMSs):
- Active and passive technologies for BMSs;
- Architecture and advancements in BMSs;
- Battery twinning systems for BMSs.
- Digital twins for EVs:
- Intelligent transportation system;
- Autonomous vehicles;
- Internet of things and big data.
Prof. Dr. Rezkallah Miloud
Prof. Dr. Ambrish Chandra
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
- dynamic control
- motor
- EV
- autonomous vehicles
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