Charging Demand Prediction - Small All-Electric Aircraft and Electric Vertical Takeoff and Landing Aircraft

Journal Article (2024)
Author(s)

Yawen Liang (TU Delft - DC systems, Energy conversion & Storage)

David Bodnar (Technická Univerzita v Košiciach, TU Delft - DC systems, Energy conversion & Storage)

Gautham Ram Chandra Mouli (TU Delft - DC systems, Energy conversion & Storage)

Daniele Ragni (TU Delft - Wind Energy)

Pavol Bauer (TU Delft - DC systems, Energy conversion & Storage)

Research Group
DC systems, Energy conversion & Storage
DOI related publication
https://doi.org/10.1109/TTE.2024.3427841
More Info
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Publication Year
2024
Language
English
Research Group
DC systems, Energy conversion & Storage
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Issue number
1
Volume number
11
Pages (from-to)
2732-2747
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Abstract

Electric aircraft (EA) is a promising alternative to conventional fuel-based aircraft, offering reduced greenhouse gas emissions and enhanced operational efficiency. To ensure seamless operations and optimize energy management, accurate EA charging demand prediction becomes imperative. This article presents a study on forecasting the charging demand for future small- and short-range EA. First, battery sizes are determined for various types of small all-EA (AEA) and electric vertical takeoff and landing (eVTOL) aircraft. Utilizing the electrical circuit model (ECM) for lithium-ion batteries (LIBs), this study derives the charging power curve of EA under the constant current-constant voltage (CC-CV) charging strategy. Subsequently, the charging demand prediction is conducted using the flight schedule of a selected airport, allowing for a realistic assessment of the power requirements for charging EA. Finally, case studies exploring charging demand under different scenarios are conducted. The results highlight the substantial power demand associated with the charging process, emphasizing the essential infrastructure needs and potential approaches for managing charging power in electric flight.

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