A method to analyze and optimize hybrid electric architectures applied to unmanned aerial vehicles
Aircraft Engineering and Aerospace Technology
ISSN: 0002-2667
Article publication date: 19 June 2018
Issue publication date: 12 September 2018
Abstract
Purpose
This paper addressed some critical issues in the development of hybrid electric powertrains for aircraft and propose a design methodology based on multi-objective optimization algorithms and mission-based simulations.
Design/methodology/approach
Scalable models were used for the main components of the powertrain, namely, the (two stroke diesel) engine, the (lithium) batteries and the (permanent magnet) motor. The optimization was performed with the NSGA-II genetic algorithm coupled with an in-house MATLAB tool. The input parameters were the size of engine, the hybridization degree and the specification of the battery (typology, nominal capacity, bus voltage, etc.). The outputs were electric endurance, additional volume, performance parameters and fuel consumption over a specified mission.
Findings
Electric endurance was below 30 min in the two test cases (unmanned aerial vehicles [UAVs]) but, thanks to the recharging of the batteries on-board, the total electric time was higher. Fuel consumption was very high for the largest UAV, while an improvement of 11 per cent with respect to a conventional configuration was obtained for the smallest one.
Research limitations/implications
The research used a simplified approach for flight mechanics. Some components were not sized in the proposed test cases.
Practical implications
The results of the test cases stressed the importance of improving energy density and power density of the electric path.
Social implications
The proposed methodology is aimed at minimizing the environmental impact of aircraft.
Originality/value
The proposed methodology was obtained from the automotive field with several original contributions to account for the aircraft application.
Keywords
Acknowledgements
The investigation has been funded by the Italian Ministry for Education, University and Research (project code PON03_00067_8) and is part of a research project of the Aerospace Technological District (DTA-Scarl).
Citation
Donateo, T., Ficarella, A. and Spedicato, L. (2018), "A method to analyze and optimize hybrid electric architectures applied to unmanned aerial vehicles", Aircraft Engineering and Aerospace Technology, Vol. 90 No. 5, pp. 828-842. https://doi.org/10.1108/AEAT-11-2016-0202
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited