Intelligent Energy Systems for Vehicles and Robots
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: closed (15 November 2019) | Viewed by 5884
Special Issue Editors
Interests: nonlinear vibrations; vehicle dynamics; robotics; nonlinear dynamic systems
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning and adaptive intelligent systems; limited and big data modelling; Industry 4.0 and Education 4.0
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Vehicle and robot systems are often nonlinear and complex dynamics. These complex systems require processing and automation control for their operation. Intelligent energy systems in vehicles and robots can deliver important benefits such as reducing energy consumption; decreasing emissions; lowering running costs; reducing noise pollution; creating clean, efficient, and improved driving performance; and ease of use.
The Special Issue aims to be a leading peer-reviewed platform that surveys the state-of-the-art and modern intelligent techniques and optimization algorithms that are deployed to achieve complex energy systems for vehicles and robots. The Special Issue covers research on energy analysis, energy modelling and prediction, integrated energy systems, energy planning, and energy management to improve the energy efficiency of vehicles and robots. In addition, papers are welcome on other related topics, such as renewable energy, electricity supply and demand, bioenergy, energy storage, and energy conservation, within the context of the broader automation control and energy efficiency of vehicle and robot systems.
Prof. Dr. Reza N. Jazar
Dr. Hamid Khayyam
Guest Editors
Manuscript Submission Information
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Keywords
- Vehicle to x
- Autonoumous Vehicle/Robot
- Artificial Intelligence in Vehicle and Robots
- Intelligent Vehicle and Robot Control
- Intelligent Energy Systems: Control and Monitoring
- Intelligent Energy Management System
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