Selection of solar panels for autonomous power systems of unmanned aerial vehicles

Growing military and civilian reliance on multirotor unmanned aerial vehicles (UAVs) accentuates the need for resilient, field-deployable power supplies capable of continuous operation whenever conventional grids are inaccessible or hazardous. The paper addresses this challenge by proposing the comprehensive methodology for choosing photovoltaic (PV) converters and complementary storage technologies that can sustain round-the-clock wireless charging of UAV batteries under Northern-Ukrainian insolation conditions. The problem is formulated as joint optimisation of the daily number of battery charging cycles, overall-energy demand and PV-array configuration while accounting for climatic variability and flight-mission logistics.The research objective is to substantiate the autonomous solar power plant sized to support three DJI Mavic 3 class UAVs performing uninterrupted aerial reconnaissance. Methods include energy-balance modelling, scenario scheduling of flight/charge cycles, comparative efficiency analysis of mono-, poly- and thin-film PV modules, and evaluation of two battery chemistries—LiFePO₄ and AGM/GEL—using manufacturer data and recent literature.The key results show that, for Chernihiv’s mean global tilted irradiation of 3.61 kWh m⁻² day⁻¹, a 3.5 kWh daily yield suffices to cover 35 full 100 W charges. LiFePO₄ storage (round-trip η ≈ 95 %) cuts required array area by 5–15 % versus AGM/GEL (η ≈ 85 %), enabling a lighter, cheaper and more mobile installation. Among thirteen commercially available panels analysed, high-efficiency monocrystalline modules (η > 20 %) teamed with LiFePO₄ batteries minimise total mass (≈ 55 kg) and capital cost (< 400 USD) while meeting mission autonomy. The proposed selection algorithm may be adapted to other regions and fleet sizes, and the findings facilitate rapid deployment of reliable solar-powered UAV charging outposts for de-fence, rescue and environmental monitoring tasks.

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Publication Details

Journal
TECHNICAL SCIENCES AND TECHNOLOGIES
Published
2025-08-12
DOI
https://doi.org/10.25140/2411-5363-2025-2(40)-432-444
Primary Topic
Advanced Aircraft Design and Technologies
Type
article
Field-Weighted Citation Impact
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article

Selection of solar panels for autonomous power systems of unmanned aerial vehicles

Maksym Khomenko, Dmytrii Shokodko
TECHNICAL SCIENCES AND TECHNOLOGIES
Advanced Aircraft Design and Technologies
article

Selection of solar panels for autonomous power systems of unmanned aerial vehicles

Maksym Khomenko, Dmytrii Shokodko
article en

Abstract

Growing military and civilian reliance on multirotor unmanned aerial vehicles (UAVs) accentuates the need for resilient, field-deployable power supplies capable of continuous operation whenever conventional grids are inaccessible or hazardous. The paper addresses this challenge by proposing the comprehensive methodology for choosing photovoltaic (PV) converters and complementary storage technologies that can sustain round-the-clock wireless charging of UAV batteries under Northern-Ukrainian insolation conditions. The problem is formulated as joint optimisation of the daily number of battery charging cycles, overall-energy demand and PV-array configuration while accounting for climatic variability and flight-mission logistics.The research objective is to substantiate the autonomous solar power plant sized to support three DJI Mavic 3 class UAVs performing uninterrupted aerial reconnaissance. Methods include energy-balance modelling, scenario scheduling of flight/charge cycles, comparative efficiency analysis of mono-, poly- and thin-film PV modules, and evaluation of two battery chemistries—LiFePO₄ and AGM/GEL—using manufacturer data and recent literature.The key results show that, for Chernihiv’s mean global tilted irradiation of 3.61 kWh m⁻² day⁻¹, a 3.5 kWh daily yield suffices to cover 35 full 100 W charges. LiFePO₄ storage (round-trip η ≈ 95 %) cuts required array area by 5–15 % versus AGM/GEL (η ≈ 85 %), enabling a lighter, cheaper and more mobile installation. Among thirteen commercially available panels analysed, high-efficiency monocrystalline modules (η > 20 %) teamed with LiFePO₄ batteries minimise total mass (≈ 55 kg) and capital cost (< 400 USD) while meeting mission autonomy. The proposed selection algorithm may be adapted to other regions and fleet sizes, and the findings facilitate rapid deployment of reliable solar-powered UAV charging outposts for de-fence, rescue and environmental monitoring tasks.

TECHNICAL SCIENCES AND TECHNOLOGIES(2 (40))
Openalex Percentile: Top 81%
Advanced Aircraft Design and Technologies
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