An Uncertainty-based Framework for Technology Portfolio Selection for Future Aircraft Program

Bianchi, Davi; Amadori, Kristian; Bäckström, Erik; Jouannet, Christopher; Secco, Ney R.

doi:10.2514/6.2021-1479

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…The reason is due to the difficulty of predicting the interval of values as no hybrid-electric aircraft has reached production yet. Di Bianchi [15] and Guenov [16] presented methods, respectively based on reliability-based optimization and margin value method, for managing technological uncertainty in future concepts.…”

Section: Introductionmentioning

confidence: 99%

Set-Based Design Space Exploration to Investigate the Effect of Energy Storage Durability on the Energy Management Strategy of a Hybrid-Electric Aircraft

Spinelli

Krupa

Kipouros

2023

AIAA SCITECH 2023 Forum

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To investigate the key enabling technologies for hybrid-electric regional aircraft, several assumptions about the maturity and required level of technology are necessary. Within the EUfunded project FutPrint50, a decision-making framework based on Set-Based Design principles is being developed to address these uncertainties arising from operational requirements and technological feasibility levels. The methodology has been applied to study the effects of the energy storage durability and technology level on the energy management strategies of a regional hybrid-electric aircraft. Results highlight the key role of battery energy density on the durability of the battery pack and the viability of the hybrid-electric aircraft concept. Additionally, the trade-off between zero-day environmental compatibility and battery lifetime is identified alongside its causing mechanism. Optimal energy management strategies are suggested in light of this new information. Finally, statistical data of cell energy density is used to estimate the most probable year of feasibility of hybrid-electric propulsion for regional aircraft.

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Section: Introductionmentioning

confidence: 99%

Set-Based Design Space Exploration to Investigate the Effect of Energy Storage Durability on the Energy Management Strategy of a Hybrid-Electric Aircraft

Spinelli

Krupa

Kipouros

2023

AIAA SCITECH 2023 Forum

View full text Add to dashboard Cite

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A framework for enhanced decision-making in aircraft conceptual design optimisation under uncertainty

2020

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This paper presents a framework to support decision-making in aircraft conceptual design optimisation under uncertainty. Emphasis is given to graphical visualisation methods capable of providing holistic yet intuitive relationships between design, objectives, feasibility and uncertainty spaces. Two concepts are introduced to allow interactive exploration of the effects of (1) target probability of constraint satisfaction (price of feasibility robustness) and (2) uncertainty reduction through increased state-of-knowledge (cost of uncertainty) on design and objective spaces. These processes are tailored to handle multi-objective optimisation problems and leverage visualisation techniques for dynamic inter-space mapping. An information reuse strategy is presented to enable obtaining multiple robust Pareto sets at an affordable computational cost. A case study demonstrates how the presented framework addresses some of the challenges and opportunities regarding the adoption of Uncertainty-based Multidisciplinary Design Optimisation (UMDO) in the aerospace industry, such as design margins policy, systematic and conscious definition of target robustness and uncertainty reduction experiments selection and prioritisation.

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An Uncertainty-based Framework for Technology Portfolio Selection for Future Aircraft Program

Cited by 2 publications

References 14 publications

Set-Based Design Space Exploration to Investigate the Effect of Energy Storage Durability on the Energy Management Strategy of a Hybrid-Electric Aircraft

Set-Based Design Space Exploration to Investigate the Effect of Energy Storage Durability on the Energy Management Strategy of a Hybrid-Electric Aircraft

A framework for enhanced decision-making in aircraft conceptual design optimisation under uncertainty

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