Application of Emerging Techniques for Electric Vehicles: The Drive towards Green Environment
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: closed (15 June 2023) | Viewed by 11587
Special Issue Editors
Interests: sustainable development goals; energy storage; thermal energy storage; demand-side management; techno-economic analysis of RE systems
Special Issues, Collections and Topics in MDPI journals
Interests: energy systems; smart grids; machine learning; big data analytics; power electronics; advanced control system
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The air pollution and recent climate change are severe threats to our environment and society. The major causes of air pollution come from the transportation sector, and a clean and energy-efficient transportation and green environment must be developed to minimize air pollution. Emerging techniques such as artificial intelligence (AI), machine learning (ML), and deep learning (DL) can be implemented to achieve improvements in energy storage devices, which can help significantly toward reducing environmental issues. Research on safe and clean transportation is essential to improve the reliability of hybrid electric vehicles.
The objective of this Special Issue is to publish state-of-the-art research on current trends in the application of AI, ML, DL, and other optimization techniques to smart electric vehicles. We therefore invite papers on novel technical developments, reviews, case studies, and analytical as well as assessment papers from different disciplines, which can potentially contribute to the design of electric vehicles. This Special Issue will accept original research articles/reviews on novel and innovative approaches that address (but are not limited to) the following topics:
- Energy infrastructure for electrical transportation, charging systems;
- Power electronics for electric traction;
- Energy management and control systems;
- Charging infrastructure;
- AI, ML, and DL for electric vehicles;
- Optimization techniques for electric vehicles;
- Next-generation energy storage technologies;
- Hybrid electric vehicles;
- Wireless technologies for charging stations;
- Design of converters for electric vehicles.
Prof. Rajvikram Madurai Elavarasan
Prof. Dr. Eklas Hossain
Dr. Kaliaperumal Rukmani Devabalaji
Guest Editors
Manuscript Submission Information
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Keywords
- Electric Vehicles
- Artificial Intelligence
- Energy storage Device
- Power Electronics
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