Hybrid Battery–Laser Wireless Power Transfer System for Range-Extended Disaster-Relief UAVs: A Coupled Thermal–Electrical Battery Sizing Optimization

Extending flight endurance is critical for unmanned aerial vehicles (UAVs) deployed in post-disaster surveillance missions. This study proposes a hybrid battery–laser power system in which a ground-based laser source continuously tracks and charges a photovoltaic (PV) array mounted on a UAV, and develops an integrated optical–thermal–electrical model coupled with a battery-sizing optimization framework. Using a realistic trajectory derived from experimentally measured UAV flight data, the results show that the proposed hybrid system reduces the required battery capacity by up to 23.8% compared with a laser-off configuration. Alternatively, for the same battery capacity, laser-assisted operation extends the achievable mission duration by approximately 23%, enabling longer disaster-relief missions without increasing the UAV payload. These findings provide practical design guidance for developing laser-powered UAV systems for extended disaster-relief operations.

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Publication Details

Journal
Energies
Published
2026-09-21
DOI
https://doi.org/10.3390/en19184475
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
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article

Hybrid Battery–Laser Wireless Power Transfer System for Range-Extended Disaster-Relief UAVs: A Coupled Thermal–Electrical Battery Sizing Optimization

Hayri Yigit, Ali Toprak, Mehmet Koruturk
Energies
UAV Applications and Optimization
article

Hybrid Battery–Laser Wireless Power Transfer System for Range-Extended Disaster-Relief UAVs: A Coupled Thermal–Electrical Battery Sizing Optimization

Hayri Yigit, Ali Toprak, Mehmet Koruturk
article en

Abstract

Extending flight endurance is critical for unmanned aerial vehicles (UAVs) deployed in post-disaster surveillance missions. This study proposes a hybrid battery–laser power system in which a ground-based laser source continuously tracks and charges a photovoltaic (PV) array mounted on a UAV, and develops an integrated optical–thermal–electrical model coupled with a battery-sizing optimization framework. Using a realistic trajectory derived from experimentally measured UAV flight data, the results show that the proposed hybrid system reduces the required battery capacity by up to 23.8% compared with a laser-off configuration. Alternatively, for the same battery capacity, laser-assisted operation extends the achievable mission duration by approximately 23%, enabling longer disaster-relief missions without increasing the UAV payload. These findings provide practical design guidance for developing laser-powered UAV systems for extended disaster-relief operations.

EnergiesVol. 19(18)
Istanbul Topkapi University (TR), Yıldız Technical University (TR), Texas A&M University (US)
Climate action
Openalex Percentile: Top 7%
UAV Applications and Optimization
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