Towards Digital Twinning of Electrical Motors – Simulation Models

This paper presents a methodological framework for building a digital shadow of an induction motor based on standardized tests and a two‑axis (dq) simulation model. Tests were carried out according to IEEE Std 112 and IEC 60034‑2‑1 [10, 11]. Parameters of the equivalent circuit were identified and entered into the model. Validation was performed by comparing torque–speed and current–speed curves at 180 V and 220 V, while nominal behavior at 400 V was estimated using the model and voltage scaling. The model was then calibrated to reduce the discrepancy between simulation and measurements and the error was quantified using the root‑mean‑square error (RMSE) and mean absolute percentage error (MAPE). An automated load‑simulation setup that reproduces the torque test is also presented, enabling rapid evaluation of parameter influence. Results show a very good match in the current channel, with larger deviations in the prediction of characteristic torque points, indicating the limitations of linearized parameters and motivating nonlinear model extensions. The approach enables reliable estimates at nominal voltage when direct measurements are not feasible.

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Publication Details

Journal
Journal of Energy Technology
Published
2025-09-29
DOI
https://doi.org/10.18690/jet.18.2.65-74.2025
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
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article

Towards Digital Twinning of Electrical Motors – Simulation Models

Tin Benšić, Željko Hederić, Marinko Stojkov, Goran Kurtović et al.
Journal of Energy Technology
Sensorless Control of Electric Motors
article

Towards Digital Twinning of Electrical Motors – Simulation Models

Tin Benšić, Željko Hederić, Marinko Stojkov, Goran Kurtović, Luka Živković
article en

Abstract

This paper presents a methodological framework for building a digital shadow of an induction motor based on standardized tests and a two‑axis (dq) simulation model. Tests were carried out according to IEEE Std 112 and IEC 60034‑2‑1 [10, 11]. Parameters of the equivalent circuit were identified and entered into the model. Validation was performed by comparing torque–speed and current–speed curves at 180 V and 220 V, while nominal behavior at 400 V was estimated using the model and voltage scaling. The model was then calibrated to reduce the discrepancy between simulation and measurements and the error was quantified using the root‑mean‑square error (RMSE) and mean absolute percentage error (MAPE). An automated load‑simulation setup that reproduces the torque test is also presented, enabling rapid evaluation of parameter influence. Results show a very good match in the current channel, with larger deviations in the prediction of characteristic torque points, indicating the limitations of linearized parameters and motivating nonlinear model extensions. The approach enables reliable estimates at nominal voltage when direct measurements are not feasible.

Journal of Energy TechnologyVol. 18(2)
University of Slavonski Brod (HR), University of Osijek (HR)
Openalex Percentile: Top 74%
Sensorless Control of Electric Motors
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