Wilhelm Kirchgässner
Power Electronics and Electrical Drives
Research Associate
Machine Learning in electric drives
- 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).
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.
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.
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark
Show all publications
W. Kirchgässner, O. Wallscheid, J. Böcker, IEEE Transactions on Energy Conversion 36 (2021) 2059–2067.