Application of probabilistic principles to set-based design for the optimisation of a hybrid-electric propulsion system

Simple item page
dc.contributor.authorSpinelli, Andrea
dc.contributor.authorAnderson, Luchien
dc.contributor.authorBalaghi Enalou, Hossein
dc.contributor.authorZaghari, Bahareh
dc.contributor.authorKipouros, Timoleon
dc.contributor.authorLaskaridis, Panagiotis
dc.date.accessioned2022-02-22T09:40:10Z
dc.date.available2022-02-22T09:40:10Z
dc.date.issued2022-02-15
dc.description.abstractCurrent research in hybrid-electric aircraft propulsion has outlined the increased complexity in design when compared with traditional propulsion. However, current design methodologies rely on aircraft-level analysis and do not include the consideration of the impact of new technologies and their uncertainty. This can be a key factor for the development of future hybrid-electric propulsion systems. In this paper, we present a methodology for exploring the design space using the principles of Set-Based Design, which incorporates probabilistic assessment of requirements and multidisciplinary optimisation with uncertainty. The framework can explore every design parameter combination using a provided performance model of the system under design and evaluate the probability of satisfying a minimum required figure of merit. This process allows to quickly discard configurations incapable of meeting the goals of the optimiser. A multidisciplinary optimiser then is used to obtain the best points in each surviving configuration, together with their uncertainty. This information is used to discard undesirable configurations and build a set of Pareto optimal solutions. We demonstrate an early implementation of the framework for the design of a parallel hybrid-electric propulsion system for a regional aircraft of 50 seats. We achieve a considerable reduction to the required function evaluations and optimisation run time by avoiding the ineffective areas of the design space but at the same time maintaining the optimality potential of the selected sets of design solutions.en_UK
dc.description.sponsorshipEuropean Union funding: 875551en_UK
dc.identifier.citationSpinelli A, Anderson L, Balaghi Enalou H, et al., (2022) Application of probabilistic principles to set-based design for the optimisation of a hybrid-electric propulsion system. In: International Conference on Innovation in Aviation & Space to the Satisfaction of the European Citizens (11th EASN 2021), 1-3 September 2021, Virtual event, Volume 1226, Article number 012064en_UK
dc.identifier.eissn1757-899X
dc.identifier.issn1757-8981
dc.identifier.urihttps://doi.org/10.1088/1757-899X/1226/1/012064
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17590
dc.language.isoenen_UK
dc.publisherIOPen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleApplication of probabilistic principles to set-based design for the optimisation of a hybrid-electric propulsion systemen_UK
dc.typeConference paperen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Optimisation_of_a_hybrid-electric-2022.pdf
Size:
2.98 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)