Wilhelm Kirchgässner

Power Electronics and Electrical Drives

Former

Machine Learning in electric drives

E-Mail:
kirchgaessner@lea.uni-paderborn.de
Phone:
+49 5251 60-5048
Web:
Homepage
Office Address:
Pohlweg 55
33098 Paderborn
Room:
E4.324

Publications

Latest Publications

Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning

W. Kirchgässner, O. Wallscheid, J. Böcker, Engineering Applications of Artificial Intelligence 117 (2022).

DOI

Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations

W. Kirchgässner, O. Wallscheid, J. Böcker, in: 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), IEEE, 2022.

DOI

Application of Thermal Neural Networks on a Small-Scale Electric Motor

W. Kirchgässner, D. Wöckinger, O. Wallscheid, G. Bramerdorfer, J. Böcker, in: IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.


Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments

G. Book, A. Traue, P. Balakrishna, A. Brosch, M. Schenke, S. Hanke, W. Kirchgässner, O. Wallscheid, IEEE Open Journal of Power Electronics (2021) 187–201.

DOI

Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark

W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Energy Conversion 36 (2021) 2059–2067.

DOI

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