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

Annette Mütze, Kourosh Heidarikani, Pawan Kumar Dhakal, Roland Seebacher, Sebastian Schöps

TL;DR

The paper tackles the need for reproducible benchmarking in electric machine modeling by providing complete public data sets for two machines, a PMSM and an IM. It details design parameters, material properties, winding schemes, low-frequency equivalent circuit parameters, and six drive-cycle measurements to support validation across modeling approaches. The authors present a data-organization framework and down-scaling methodology to adapt real-world drive cycles for lab-scale machines, reinforcing FAIR data principles. As a first-of-its-kind publication, the work enables verification, reproducibility, and cross-study benchmarking for various modeling tools and optimization studies.

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.

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

TL;DR

The paper tackles the need for reproducible benchmarking in electric machine modeling by providing complete public data sets for two machines, a PMSM and an IM. It details design parameters, material properties, winding schemes, low-frequency equivalent circuit parameters, and six drive-cycle measurements to support validation across modeling approaches. The authors present a data-organization framework and down-scaling methodology to adapt real-world drive cycles for lab-scale machines, reinforcing FAIR data principles. As a first-of-its-kind publication, the work enables verification, reproducibility, and cross-study benchmarking for various modeling tools and optimization studies.

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.

Paper Structure

This paper contains 25 sections, 11 figures, 12 tables.

Figures (11)

  • Figure 1: 2D CAD diagram of the IM with dimensions.
  • Figure 2: Measured magnetization characteristic of the IM: (a) $\lambda_\mathrm{{m}}$ vs $I_\mathrm{{m}}$, (b) $L_\mathrm{{m}}$ vs $I_\mathrm{{m}}$.
  • Figure 3: Measured rotor resistance and leakage inductances as a function of frequency: (a) $R_{\mathrm{r}}$, (b) $L_{\mathrm{\sigma s}}$ and $L_{\mathrm{\sigma r}}$.
  • Figure 4: Measurement results of WLTP class 3 drive cycle for the IM: (a) speed profile of the down-scaled drive cycle, (b) torque profile of the down-scaled drive cycle, (c) measured input and output powers, (d) calculated total losses.
  • Figure 5: 2D CAD diagram of the PMSM with dimensions.
  • ...and 6 more figures