[HTML][HTML] A review of compensation topologies and control techniques of bidirectional wireless power transfer systems for electric vehicle applications

M Venkatesan, N Rajamanickam, P Vishnuram… - Energies, 2022 - mdpi.com
Owing to the constantly rising energy demand, Internal Combustion Engine (ICE)-equipped
vehicles are being replaced by Electric Vehicles (EVs). The other advantage of using EVs is …

Consensus mechanism for blockchain-enabled vehicle-to-vehicle energy trading in the internet of electric vehicles

HN Abishu, AM Seid, YH Yacob, T Ayall… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Electric Vehicles (EVs) have emerged as one of the most promising solutions for reducing
carbon emissions in smart cities. However, due to the limited battery life of EVs and the …

Orchestrated scheduling and multi-agent deep reinforcement learning for cloud-assisted multi-UAV charging systems

S Jung, WJ Yun, MJ Shin, J Kim… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper proposes a cloud-assisted joint charging scheduling and energy management
framework for unmanned aerial vehicle (UAV) networks. For charging the UAVs those are …

A blockchain-based byzantine consensus algorithm for information authentication of the internet of vehicles

W Hu, Y Hu, W Yao, H Li - IEEE Access, 2019 - ieeexplore.ieee.org
This paper attempts to solve the security problems in communication, consensus-making
and authentication of nodes in the Internet of vehicles (IoV) for intelligent transport …

A secure and efficient wireless charging scheme for electric vehicles in vehicular energy networks

Y Wang, HT Luan, Z Su, N Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To address the limited driving range of electric vehicles (EVs) and promote EVs' penetration,
vehicular energy networks (VENs) have emerged and opened possibility to charge EVs in …

Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes

S Park, H Lee, C Park, S Jung, M Choi, J Kim - ETRI Journal, 2023 - Wiley Online Library
This paper surveys recent multiagent reinforcement learning and neural Myerson auction
deep learning efforts to improve mobility control and resource management in autonomous …

Joint mobile charging and coverage-time extension for unmanned aerial vehicles

S Park, WY Shin, M Choi, J Kim - IEEE Access, 2021 - ieeexplore.ieee.org
In modern networks, the use of drones as mobile base stations (MBSs) has been discussed
for coverage flexibility. However, the realization of drone-based networks raises several …

[HTML][HTML] A Measurement Method of Power Transferred to an Electric Vehicle Using Wireless Charging

Ž Nakutis, R Lukočius, V Girdenis, K Kroičs - Sensors, 2023 - mdpi.com
The increasing number of zero-emission vehicles on the roads demands novel vehicle
charging solutions that ensure convenience, safety, increased charging infrastructure …

[PDF][PDF] 区块链下基于蛛网模型的新能源汽车能源交易机制研究

张海波, 徐蓬勃, 王汝言, 贺晓帆, 刘富 - 电子与信息学报, 2023 - jeit.ac.cn
针对在新能源汽车有限的车载能源资源约束条件下, 如何解决行驶时效性不足的问题,
该文提出一种区块链下的分布式能源交易机制. 首先基于区块链构建新能源汽车能源交易网络 …

[HTML][HTML] Joint message-passing and convex optimization framework for energy-efficient surveillance UAV scheduling

S Jung, J Kim, JH Kim - Electronics, 2020 - mdpi.com
In modern surveillance systems, the use of unmanned aerial vehicles (UAVs) has been
actively discussed in order to extend target monitoring areas, even for an extreme …