Intelligent energy management for solar-powered unmanned
Based on previous studies, a complete simulated environment of a solar-powered UAV using multi-objective genetic algorithm was proposed in this study to realize high-altitude
Based on previous studies, a complete simulated environment of a solar-powered UAV using multi-objective genetic algorithm was proposed in this study to realize high-altitude
Abstract—This letter introduces a photovoltaic (PV)-battery wireless charger tailored for unmanned aerial vehicles (UAVs), enabling seamless automatic charging. Sharing the resonant...
To address the challenges posed by the large-scale integration of electric vehicles and new energy sources on the stability of power system operations and the efficient utilization
Based on previous studies, a complete simulated environment of a solar-powered UAV using multi-objective genetic algorithm was proposed in this study to realize high-altitude
In light of the significant challenge posed by the limited battery capacity of UAVs, this paper addresses the deployment of charging stations within a UAV operational
The present work seeks to overcome these limitations by proposing an intelligent automatic charging system (Intelligent Charging Network) created using PC Engines Alix and
In this project, we propose to investigate the development of a battery-free UAV that can survive in the air and sustain long-term missions by harvesting solar energy, eliminating the need for...
[0003] US 9 272 783 B2 discloses a long endurance powered aircraft including a fuselage, a propeller coupled to the fuselage, a wing coupled to the fuselage, and an energy storage
In this study, a grid-integrated solar PV-based electric car charging station with battery backup is used to demonstrate a unique hybrid approach for rapid charging electric
Abstract: This letter introduces a photovoltaic (PV)-battery wireless charger tailored for unmanned aerial vehicles (UAVs), enabling seamless automatic charging. Sharing the resonant tank
The present work seeks to overcome these limitations by proposing an intelligent automatic charging system (Intelligent Charging
An automated navigation system is proposed for Unmanned Aerial Vehicles (UAV) to charge batteries according to their State of Charge (SoC). A compact charging pad suitable
To address the challenges posed by the large-scale integration of electric vehicles and new energy sources on the stability of power system operations and the efficient utilization
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In light of the significant challenge posed by the limited battery capacity of UAVs, this paper addresses the deployment of charging stations within a UAV operational environment to minimize energy consumption during recharge trips and mitigate frequent interruptions in UAV operations.
Charging station placement is commonly addressed through mathematical modeling and heuristic algorithms. In , a system utilizing unmanned aerial vehicles (UAVs) was introduced to optimize the placement of charging stations while improving the planning of UAV routes.
By conducting a systematic analysis of the operational area, the proposed algorithm determines the optimal number and locations of charging stations, ensuring that UAVs can efficiently access a charging station within the specified distance limit.
In the field of aviation, solar-powered unmanned aerial vehicles (UAVs) have attracted attention owing to their high-altitude cruise and the availability of renewable energy , .