Comprehensive Modelling for Electric Machine Sizing and Performance Estimation in Aerospace Applications Enhancing Static and Dynamic Simulation

Comprehensive Modelling for Electric Machine Sizing and Performance Estimation in Aerospace Applications Enhancing Static and Dynamic Simulation

Victor J. BAHRS, Katharina KOLO, Stefanie DE GRAAF

Abstract. In order to evaluate the potential of different electrified aircraft propulsion system topologies, accurate and efficient sizing models as well as performance evaluation techniques are necessary. To accommodate for this, the presented study introduces a comprehensive methodology for electric machine sizing and performance estimation. Therein, static and dynamic modelling approaches are combined to investigate both steady-state operation as well as the transient behaviour. The dynamic model is verified against the already validated static one and both models are used for the simulation of a realistic test case from the literature, showing very good agreement for the steady-state operation phases while highlighting key differences during transient operation. Based on these results, the presented study enables a detailed static and dynamic performance analysis of electric machines while coupling it to the sizing process.

Keywords
Mathematical Model, Steady-State Approximation, Transient Performance Estimation, Clean Aviation, Electric Aircraft

Published online 7/20/2026, 6 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Victor J. BAHRS, Katharina KOLO, Stefanie DE GRAAF, Comprehensive Modelling for Electric Machine Sizing and Performance Estimation in Aerospace Applications Enhancing Static and Dynamic Simulation, Materials Research Proceedings, Vol. 69, pp 577-582, 2026

DOI: https://doi.org/10.21741/9781644904251-103

The article was published as article 103 of the book CEAS – AIDAA Conference 2025

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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