CREATOR Case: PMSM and IM Electric Machine Data for Validation and Benchmarking of Simulation and Modeling Approaches

TL;DR

This paper provides comprehensive datasets of a PMSM and an IM electric machine, including design parameters and measurement results, to facilitate validation, benchmarking, and reproducibility of modeling approaches.

Contribution

It introduces the first publicly available complete datasets of two different electric machines for benchmarking and validation purposes.

Findings

Datasets include design parameters and measurement results.

Enables validation and benchmarking of simulation models.

Supports reproducibility and FAIR data principles.

Abstract

This paper describes the complete sets of data of two different machines, a PMSM and an IM, that are made available to the public for modeling and simulation validation and benchmarking. 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. 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. The 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. To the authors' best 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 data principle of analyses based on these data.