Optimal Control Strategies for Electric Vehicles
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: 25 February 2026 | Viewed by 2
Special Issue Editors
Interests: robust control; FTC; autonomous systems; electric vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: dignosis; FTC control; electrical vehicle; energy system
Interests: distributed paremeter system; optimal control and optimization
Special Issue Information
Dear Colleagues,
The Guest Editors are seeking submissions for a Special Issue of Energies on the subject of "Optimal Control Strategies for Electric Vehicles." Electric vehicles (EVs) rely heavily on advanced control techniques to ensure high performance, energy efficiency, and safety. A typical electric vehicle powertrain includes energy storage systems, power converters, electrical machines, and associated sensors and actuators. The optimal operation of these components is crucial for achieving maximum efficiency, range, and dynamic performance.
In this context, optimal control strategies aim to improve energy utilization, maintain system stability, and enhance driving performance under various operating conditions, while considering constraints such as battery health, thermal limits, and safety requirements. Research in this area is critical for the design of intelligent control architectures that can dynamically adapt to uncertainties, disturbances, and varying driving conditions.
This Special Issue welcomes original articles that address state-of-the-art research, technological developments, and future trends in (but not limited to) the following topics of interest:
- Optimal energy management strategies for EVs;
- Model predictive control and real-time optimization of EV powertrains;
- Optimal control of hybrid and multi-source electric vehicles;
- Trajectory planning and motion control for autonomous and connected EVs;
- Control strategies for battery longevity and thermal management;
- Integration of optimal control with fault-tolerant and robust control frameworks.
Dr. Ahmed Chaibet
Dr. Moussa Boukhnifer
Prof. Dr. Ahmed Maidi
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. Energies is an international peer-reviewed open access semimonthly 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 2600 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 vehicles
- optimal control
- energy management
- model predictive control
- battery management
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