Intelligent Control and Energy Systems for Modern Mobility and Industry
A special issue of World Electric Vehicle Journal (ISSN 2032-6653).
Deadline for manuscript submissions: 30 June 2025 | Viewed by 946
Special Issue Editors
Interests: hybrid mobile robots; power systems of new energy vehicles; multi-energy complementarity and collaboration of distributed micro-grid
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent control theory and methods; machine learning and data mining; pattern recognition and artificial intelligence; granular computing and knowledge discovery; image processing; industrial intelligence
Interests: distributed cooperative sensing and control of vehicles; theory of complex systems in air and space; research on modelling simulation and parallel experiments; applied research on cooperative sensing of vehicles
Interests: hybrid electric vehicles; energy management
Special Issue Information
Dear Colleagues,
In the era of rapid technological advancement, the integration of energy systems with intelligent control mechanisms is revolutionizing modern mobility and industry. This convergence encompasses a wide array of cutting-edge technologies and methodologies, including hybrid mobile robots, new energy vehicle power systems, and multi-energy complementarity within distributed micro-grids. Additionally, advanced energy integration plays a crucial role in optimizing these systems. Research in these areas necessitates the support of diverse and comprehensive fields such as artificial intelligence, machine learning, data mining, and intelligent control theories. Scholars and experts from various domains are required to collaborate, communicate, and jointly promote the intelligentization and electrification of related fields.
As we look toward the future, the convergence of energy, intelligent sensing, and control systems within a unified model is anticipated to give rise to super-intelligent entities. These entities will be capable of revolutionizing industries through their autonomous decision-making capabilities and their ability to optimize energy use on an unprecedented scale. To achieve these ambitious goals, research must be underpinned by robust fields such as artificial intelligence, machine learning, data mining, and advanced control theories. Scholars and experts in various fields are required to communicate and jointly promote the process of intelligence in related fields. Intelligentization and electrification are crucial for ensuring that vehicles operate autonomously and are environmentally friendly.
Prof. Dr. Zonghai Chen
Prof. Dr. Huaxiong Li
Dr. Xuerong Yang
Dr. Liang Xu
Dr. Xiaojun Liang
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 1400 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 control
- energy management
- hybrid mobile robots
- distributed micro-grids
- machine learning
- artificial intelligence
- digital twin simulation
- industrial internet edge computing
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