Energy-Saving Control and Intelligent Technologies for Electric and Hybrid Vehicles
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: 25 May 2026 | Viewed by 577
Special Issue Editors
Interests: decision making and control; system of new energy intelligent connected vehicles driven by big data
Special Issues, Collections and Topics in MDPI journals
Interests: zero-carbon power system
Special Issues, Collections and Topics in MDPI journals
Interests: lithium-ion battery; electrochemistry; battery aging prognosis; state estimation; degradation trajectory early prediction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the growing global demand for new energy vehicles (NEVs), a wide variety of models have been introduced onto the market, yet their energy efficiency levels differ significantly. As the next-generation vehicle paradigm, intelligent connected vehicles (ICVs) prioritize energy-saving control as a critical factor in optimizing overall performance. The rapid advancement of Internet of Vehicles (IoV) and autonomous driving technologies has not only enhanced vehicle data processing capabilities but also expanded application scenarios. To achieve more efficient energy management, energy-saving control must be deeply integrated with these cutting-edge technologies. Factors such as users' driving patterns, charging habits, and usage environments all influence battery consumption. Analyzing and optimizing these behaviors have become key research priorities. Overall, the energy-saving control of new energy intelligent connected vehicles holds substantial significance in terms of economic benefits, environmental protection, and technological progress. However, realizing its full potential requires in-depth investigation into user behavior, external influencing factors, and the synergistic application of advanced technological solutions. Future research should emphasize data-driven approaches and focus on enhancing user experience to ensure the effectiveness and feasibility of energy-saving strategies.
This Special Issue aims to introduce and disseminate the latest progress related to the theory, design, modeling, application, control, materials and energy saving for new energy intelligent connected vehicles.
Topics of interest for publication include the following:
- AI and machine learning for intelligent electric and hybrid vehicle systems.
- AI-driven optimization and control strategies in electric and hybrid electric vehicles.
- Energy-saving control strategies driven by big data.
- Energy-saving control based on machine learning algorithms.
- Energy management strategies for complex traffic flows.
- Energy-saving materials.
Dr. Tianjun Sun
Dr. Zezhou Guo
Dr. Siyan Chen
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 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. 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
- new energy intelligent connected vehicles
- humanized energy-saving control strategy
- zero-carbon power system
- lithium-ion battery
- battery aging prognosis
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