“CREATOR case”: PMSM and IM electric machine data for validation and benchmarking of simulation and modeling approaches

Purpose This paper aims to describe the complete sets of data of two different machines, a permanent magnet synchronous motor and an induction motor, that are made available to the public for modeling and simulation validation and benchmarking. Design/methodology/approach For both machines, not only the complete sets of design parameters, i.e., motor geometry, electrical parameters, material properties and winding schemes as well as the measured low-frequency equivalent circuit parameters are provided, but also comprehensive measurement results on six different drive cycles to allow for transient investigations. Findings The data packages provide all the required information in terms of design parameters and measurement results that facilitate modeling and simulation validation and benchmarking results for verification of different modeling approaches. Research limitations/implications This paper serves as the key reference user manual for the extensive and comprehensive sets of data made available. It is, therefore, recommended to follow up on the reading of the paper by a study of the data packages themselves. Originality/value To the best of the authors’ knowledge, this is the first time that the complete sets of machine data of two different machines are published, allowing for benchmarking of modeling and simulation projects, and reproducibility and reusability following the FAIR (Findability, Accessibility, Interoperability and Reusability) data principle of analyses based on these data.

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Institutions

Publication Details

Journal
COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Published
2025-03-06
DOI
https://doi.org/10.1108/compel-11-2024-0462
Citations
1
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.73

Funders

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article

“CREATOR case”: PMSM and IM electric machine data for validation and benchmarking of simulation and modeling approaches

Roland Seebacher, Sebastian Schöps, Pawan Kumar Dhakal, Annette Muetze et al.
1 citations
COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
Electric Motor Design and Analysis
0.73
article

“CREATOR case”: PMSM and IM electric machine data for validation and benchmarking of simulation and modeling approaches

Roland Seebacher, Sebastian Schöps, Pawan Kumar Dhakal, Annette Muetze, Kourosh Heidarikani
article en
1 citations

Abstract

Purpose This paper aims to describe the complete sets of data of two different machines, a permanent magnet synchronous motor and an induction motor, that are made available to the public for modeling and simulation validation and benchmarking. Design/methodology/approach For both machines, not only the complete sets of design parameters, i.e., motor geometry, electrical parameters, material properties and winding schemes as well as the measured low-frequency equivalent circuit parameters are provided, but also comprehensive measurement results on six different drive cycles to allow for transient investigations. Findings The data packages provide all the required information in terms of design parameters and measurement results that facilitate modeling and simulation validation and benchmarking results for verification of different modeling approaches. Research limitations/implications This paper serves as the key reference user manual for the extensive and comprehensive sets of data made available. It is, therefore, recommended to follow up on the reading of the paper by a study of the data packages themselves. Originality/value To the best of the authors’ knowledge, this is the first time that the complete sets of machine data of two different machines are published, allowing for benchmarking of modeling and simulation projects, and reproducibility and reusability following the FAIR (Findability, Accessibility, Interoperability and Reusability) data principle of analyses based on these data.

COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic EngineeringVol. 44(4)
Technische Universität Darmstadt (DE), Graz University of Technology (AT)
TU Graz, Internationale Beziehungen und Mobilitätsprogramme, Deutsche Forschungsgemeinschaft, Austrian Science Fund, Technische Universität Darmstadt
Openalex Percentile: Top 32%
Electric Motor Design and Analysis
0.73
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