Power Scheduling System for Electric Vehicles and Unmanned Aerial Vehicles

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: 15 January 2025 | Viewed by 26

Special Issue Editors


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Guest Editor
Department of Computer Science, University of Virginia, Charlottesville, VA, USA
Interests: autonomous driving; intelligent transportation system; electric vehicle
Special Issues, Collections and Topics in MDPI journals
School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an, China
Interests: electric vehicle; chasis by wire; intelligent vehicle

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Guest Editor
Department of Computing Sciences, University of Houston-Clear Lake, Houston, TX, USA
Interests: Internet of Things systems; wireless networks; security; data science

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Guest Editor
Department of Vehicle Engineering, Beijing Institute of Technology, Beijing, China
Interests: electric vehicle

Special Issue Information

Dear Colleagues,

The Special Issue on "Power Scheduling System for Electric Vehicles and Unmanned Aerial Vehicles" aims to explore innovative solutions and cutting-edge research in the efficient management of power for electric vehicles (EVs) and unmanned aerial vehicles (UAVs). The primary focus is to address the challenges associated with power scheduling, optimizing energy consumption, and enhancing the performance and sustainability of these systems. This Special Issue seeks to provide a comprehensive overview of the latest advancements, methodologies, and applications in this dynamic field, fostering a deeper understanding and promoting the integration of advanced power scheduling systems.

Focus:

The focus of this topical collection is to delve into the critical aspects of power scheduling systems for EVs and UAVs. This includes the development of algorithms and models for efficient power management, the integration of renewable energy sources, and the implementation of smart grid technologies. Additionally, the issue will cover the impact of these systems on reducing carbon emissions and promoting sustainable transportation and logistics solutions. The aim is to create a holistic view of how these technologies can be harmonized to achieve maximum efficiency and sustainability.

Scope:

The collection scope encompasses various topics related to power scheduling for EVs and UAVs. Key areas of interest include:

  • Advanced algorithms and models for dynamic power scheduling;
  • Integration of EVs and UAVs with smart grids and renewable energy sources;
  • Charging schemes and infrastructures for EVs and UAVs;
  • Energy storage solutions and their optimization;
  • Impact of power scheduling on battery life and performance;
  • Real-time data analytics and machine learning applications in power management;
  • Security and resilience measures for power scheduling systems;
  • Case studies and practical implementations of power scheduling systems;
  • Regulatory and policy considerations for the deployment of power scheduling systems;
  • Interoperability standards and frameworks for EVs and UAVs

Purpose:

This Special Issue aims to gather and disseminate high-quality research that addresses the current challenges and future opportunities in power scheduling for EVs and UAVs. The issue aims to foster collaboration and innovation in this field by bringing together contributions from leading experts and researchers. It seeks to provide valuable insights and practical solutions that can be applied in real-world scenarios, ultimately contributing to the advancement of sustainable transportation and energy systems. The issue will serve as a platform for sharing knowledge, best practices, and emerging trends, helping to shape the future direction of research and development in this area.

Relation to Existing Literature:

This Special Issue will supplement existing literature by offering a focused collection of research that specifically addresses the unique challenges and opportunities in power scheduling for EVs and UAVs. While there is a substantial body of work on power management in general, this issue will provide a targeted exploration of the intersection between electric and aerial vehicle technologies. It will highlight the latest developments, emerging trends, and practical applications not covered in broader energy management research. By doing so, it will serve as a valuable resource for researchers, practitioners, and policymakers interested in the future of sustainable transportation and energy optimization. This Special Issue aims to bridge the gap between theoretical research and practical implementation, providing a comprehensive reference that enhances existing knowledge and stimulates further investigation.

Dr. Liuwang Kang
Dr. Shiwei Xu
Dr. Yalong Wu
Dr. Shuo Zhang
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Electronics 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 2400 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

  • power scheduling
  • electric vehicles (EVs)
  • unmanned aerial vehicles (UAVs)
  • energy management
  • smart grids
  • renewable energy integration
  • sustainable transportation
  • machine learning in power management

Published Papers

This special issue is now open for submission.
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