Research on Intelligent Operation and Maintenance and Key Technology of New Energy Vehicles
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: 18 February 2025 | Viewed by 602
Special Issue Editors
Interests: new energy vehicle; intelligent operation and maintenance; fault diagnosis
Interests: new energy vehicle; intelligent operation and maintenance; fault diagnosis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues
With increasing global attention being paid to environmental sustainability, the new energy vehicle industry plays a crucial role in solving the problems of traditional vehicle emissions and resource depletion. New energy vehicles use unconventional vehicle fuels as power sources, which mainly include hybrid vehicles, pure electric vehicles, fuel cell vehicles, and other new energy sources (such as supercapacitors, flywheels, and other efficient energy storage devices) vehicles. For new energy vehicles, research is of great significance to the national economy and people's travel safety. It is urgent to carry out intelligent operation and maintenance work and key technology research for new energy vehicles. The intelligent operation and maintenance of new energy vehicles aims to use data mining, machine learning, big data, and other methods to analyse and process vehicle real-time status data and vehicle record data so as to improve the operation efficiency, reliability, and environmental friendliness of new energy vehicles. This Special Issue aims to introduce and disseminate the latest research related to the intelligent operation and maintenance of new energy vehicles. The topics of interest include, but are not limited to:
- Electric vehicles;
- Low-carbon rail transit vehicles;
- Electrical engineering;
- Energy-saving optimization control;
- Monitoring and control systems;
- Batteries, fuel cells, reliability analysis;
- Electrical engineering;
- Diagnostics and prognostics of new energy vehicles;
- Power electronics.
Dr. Zhenzhen Jin
Prof. Dr. Deqiang He
Prof. Dr. Dechen Yao
Guest Editors
Manuscript Submission Information
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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
- intelligent operation and maintenance
- fault diagnosis
- new energy vehicle
- intelligent transportation system
- prediction, detection, and optimization
- emerging technologies
- internet of vehicles
- health status monitoring
- intelligent perception
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