Modeling and Analysis of UAV Charging Scheduling in Fixed/Mobile Charging Station Systems

This paper proposes two novel mathematical models for optimizing the charging schedules of Unmanned Aerial Vehicles (UAVs) within systems featuring either fixed or mobile charging stations. The primary objective is to minimize the total charging time for all UAVs. Initially, the fixed charging station (FCS) system is modeled, followed by a comparison of four different algorithms. Subsequently, the model is extended to consider a mobile charging station (MCS) system, where the station can relocate as necessary. In this scenario, an algorithm is proposed to optimize the charging station's position to enhance charging efficiency. Finally, a numerical example is presented to compare the performance of different algorithms in both fixed and mobile charging station systems. The simulation results demonstrate that the proposed algorithm effectively improves charging efficiency by strategically positioning the charging station.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/icist63249.2024.10805255
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling and Analysis of UAV Charging Scheduling in Fixed/Mobile Charging Station Systems

Jiahe Wang, Sining Zhang, Wenying Xu, Xinyuan Huang et al.
UAV Applications and Optimization
article

Modeling and Analysis of UAV Charging Scheduling in Fixed/Mobile Charging Station Systems

Jiahe Wang, Sining Zhang, Wenying Xu, Xinyuan Huang, Rong Hu, Zeyu Guo
article en

Abstract

This paper proposes two novel mathematical models for optimizing the charging schedules of Unmanned Aerial Vehicles (UAVs) within systems featuring either fixed or mobile charging stations. The primary objective is to minimize the total charging time for all UAVs. Initially, the fixed charging station (FCS) system is modeled, followed by a comparison of four different algorithms. Subsequently, the model is extended to consider a mobile charging station (MCS) system, where the station can relocate as necessary. In this scenario, an algorithm is proposed to optimize the charging station's position to enhance charging efficiency. Finally, a numerical example is presented to compare the performance of different algorithms in both fixed and mobile charging station systems. The simulation results demonstrate that the proposed algorithm effectively improves charging efficiency by strategically positioning the charging station.

Southeast University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 59%
UAV Applications and Optimization
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Modeling and Analysis of UAV Charging Scheduling in Fixed/Mobile Charging Station Systems — Jiahe Wang, Sining Zhang, et al. · (2024) | TGRS Research Map | TGRS