Mass–energy relationships in multirotor unmanned aerial vehicles powered by proton exchange membrane fuel cells: An indicator-based approach

The dynamic development of hydrogen-powered unmanned aerial vehicles (UAVs) has increased the need for consistent methods to assess their mass-energy characteristics, particularly in multirotor platforms, which are characterised by high and continuous power demand during hover-dominated operation.This study aims to identify mass-energy relationships in multirotor UAVs powered by proton exchange membrane fuel cells using an indicator-based comparative framework.The analysis was based on technical data obtained from manufacturer datasheets, technical reports, catalogues, and scientific publications, including maximum take-off weight, empty weight, payload, declared flight endurance, PEMFC rated power, hydrogen tank capacity, and storage pressure.A set of normalised indicators referenced to maximum take-off weight was used, including payload fraction, structural mass fraction, specific endurance, and PEMFC power-to-weight ratio.Pearson correlation analysis, simple linear regression, confidence intervals, and bootstrap resampling were applied to support the graphical interpretation of mass-dependent trends.The results show that most analysed platforms are characterised by structural mass fractions of 75-90% of MTOW, while payload fractions are typically within 10-25% of MTOW.Specific endurance generally falls within the range of 4-10 min/kg and shows a strong negative relationship with MTOW (r=-0.75,R^2=0.56),indicating that endurance efficiency per unit mass decreases as platform mass increases.In contrast, payload fraction and structural mass fraction showed weak or negligible linear dependence on MTOW, while the power-to-weight ratio exhibited greater dispersion, reflecting manufacturer-specific PEMFC sizing strategies.In addition, a power consistency ratio was introduced to compare estimated average power demand with PEMFC rated power and to assess the internal consistency of manufacturer-declared performance data.The proposed framework provides a first-order comparative tool for identifying mass-energy trade-offs, design constraints, and potential inconsistencies in commercial hydrogen-powered multirotor UAV platforms, rather than an experimentally validated predictive model.

Authors

Institutions

Publication Details

Journal
Advances in Science and Technology – Research Journal
Published
2026-10-29
DOI
https://doi.org/10.12913/22998624/230955
Primary Topic
Advanced Aircraft Design and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mass–energy relationships in multirotor unmanned aerial vehicles powered by proton exchange membrane fuel cells: An indicator-based approach

P. Wygonik, Maciej Mrozowski, Jarosław Sęp
Advances in Science and Technology – Research Journal
Advanced Aircraft Design and Technologies
article

Mass–energy relationships in multirotor unmanned aerial vehicles powered by proton exchange membrane fuel cells: An indicator-based approach

P. Wygonik, Maciej Mrozowski, Jarosław Sęp
article en

Abstract

The dynamic development of hydrogen-powered unmanned aerial vehicles (UAVs) has increased the need for consistent methods to assess their mass-energy characteristics, particularly in multirotor platforms, which are characterised by high and continuous power demand during hover-dominated operation.This study aims to identify mass-energy relationships in multirotor UAVs powered by proton exchange membrane fuel cells using an indicator-based comparative framework.The analysis was based on technical data obtained from manufacturer datasheets, technical reports, catalogues, and scientific publications, including maximum take-off weight, empty weight, payload, declared flight endurance, PEMFC rated power, hydrogen tank capacity, and storage pressure.A set of normalised indicators referenced to maximum take-off weight was used, including payload fraction, structural mass fraction, specific endurance, and PEMFC power-to-weight ratio.Pearson correlation analysis, simple linear regression, confidence intervals, and bootstrap resampling were applied to support the graphical interpretation of mass-dependent trends.The results show that most analysed platforms are characterised by structural mass fractions of 75-90% of MTOW, while payload fractions are typically within 10-25% of MTOW.Specific endurance generally falls within the range of 4-10 min/kg and shows a strong negative relationship with MTOW (r=-0.75,R^2=0.56),indicating that endurance efficiency per unit mass decreases as platform mass increases.In contrast, payload fraction and structural mass fraction showed weak or negligible linear dependence on MTOW, while the power-to-weight ratio exhibited greater dispersion, reflecting manufacturer-specific PEMFC sizing strategies.In addition, a power consistency ratio was introduced to compare estimated average power demand with PEMFC rated power and to assess the internal consistency of manufacturer-declared performance data.The proposed framework provides a first-order comparative tool for identifying mass-energy trade-offs, design constraints, and potential inconsistencies in commercial hydrogen-powered multirotor UAV platforms, rather than an experimentally validated predictive model.

Advances in Science and Technology – Research JournalVol. 20(12)
Rzeszów University of Technology (PL)
Affordable and clean energy
Openalex Percentile: Top 17%
Advanced Aircraft Design and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon