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 August 2025 | Viewed by 1570
Special Issue Editors
Interests: autonomous driving; intelligent transportation system; electric vehicle
Special Issues, Collections and Topics in MDPI journals
Interests: electric vehicle; chasis by wire; intelligent vehicle
Interests: Internet of Things systems; wireless networks; security; data science
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
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Keywords
- power scheduling
- electric vehicles (EVs)
- unmanned aerial vehicles (UAVs)
- energy management
- smart grids
- renewable energy integration
- sustainable transportation
- machine learning in power management
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