Haucke-Korber, Barnabas, Maximilian Schenke, and Oliver Wallscheid. “Reinforcement Learning-Based Deep Q Direct Torque Control with Adaptable Switching Frequency Towards Six-Step Operation of Permanent Magnet Synchronous Motors.” In IKMT 2022; 13. GMM/ETG-Symposium, 1–6, 2022.
LibreCat: /record/40212

Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Thermal Neural Networks: Lumped-Parameter Thermal Modeling with State-Space Machine Learning.”https://doi.org/10.1016/j.engappai.2022.105537__Engineering Applications of Artificial Intelligence 117 (2022).https://doi.org/10.1016/j.engappai.2022.105537 .
LibreCat: /record/34065
DOI: 10.1016/j.engappai.2022.105537

Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations.”https://doi.org/10.23919/ipec-himeji2022-ecce53331.2022.9807209__In 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia). IEEE, 2022.https://doi.org/10.23919/ipec-himeji2022-ecce53331.2022.9807209 .
LibreCat: /record/32859
DOI: 10.23919/ipec-himeji2022-ecce53331.2022.9807209

Rehlaender, Philipp, Oliver Wallscheid, Frank Schafmeister, and Joachim Böcker. “LLC Resonant Converter Modulations for Reduced Junction Temperatures in Half-Bridge Mode and Transformer Flux in the On-the-Fly Morphing Thereto.”https://doi.org/10.1109/tpel.2022.3180758__IEEE Transactions on Power Electronics 37, no. 11 (2022): 13413–27.https://doi.org/10.1109/tpel.2022.3180758 .
LibreCat: /record/44163
DOI: 10.1109/tpel.2022.3180758

Kirchgässner, Wilhelm, Daniel Wöckinger, Oliver Wallscheid, Gerd Bramerdorfer, and Joachim Böcker. “Application of Thermal Neural Networks on a Small-Scale Electric Motor.” In IKMT 2022; 13. GMM/ETG-Symposium, 1–6, 2022.
LibreCat: /record/42894

Brosch, Anian, Johann Rauhaus, Oliver Wallscheid, Joachim Böcker, and Detmar Zimmer. “Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems.”https://doi.org/10.1109/ojia.2022.3171333__IEEE Open Journal of Industry Applications, 2022.https://doi.org/10.1109/ojia.2022.3171333 .
LibreCat: /record/31085
DOI: 10.1109/ojia.2022.3171333

Förster, Nikolas, Jonas Hölscher, Till Piepenbrock, Philipp Rehlaender, Oliver Wallscheid, Frank Schafmeister, and Joachim Böcker. “An Open-Source FEM Magnetic Toolbox for Calculating Electric and Thermal Behavior of Power Electronic Magnetic Components.” In 2022 24th European Conference on Power Electronics and Applications (EPE’22 ECCE Europe), P.1-P.9, 2022.
LibreCat: /record/35126

Brosch, Anian, Oliver Wallscheid, and Joachim Böcker. “Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation.”https://doi.org/10.1109/OJIA.2021.3066105__IEEE Open Journal of Industry Applications 2 (2021): 47–63.https://doi.org/10.1109/OJIA.2021.3066105 .
LibreCat: /record/29657
DOI: 10.1109/OJIA.2021.3066105

Gedlu, Emebet Gebeyehu, Oliver Wallscheid, and Joachim Böcker. “Temperature Estimation of Electric Machines Using a Hybrid Model of Feed-Forward Neural and Low-Order Lumped-Parameter Thermal Networks.”https://doi.org/10.1109/IEMDC47953.2021.9449548__In 2021 IEEE International Electric Machines &; Drives Conference (IEMDC), 1–8, 2021.https://doi.org/10.1109/IEMDC47953.2021.9449548 .
LibreCat: /record/29663
DOI: 10.1109/IEMDC47953.2021.9449548

Book, Gerrit, Arne Traue, Praneeth Balakrishna, Anian Brosch, Maximilian Schenke, Sören Hanke, Wilhelm Kirchgässner, and Oliver Wallscheid. “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments.”https://doi.org/10.1109/ojpel.2021.3065877__IEEE Open Journal of Power Electronics, 2021, 187–201.https://doi.org/10.1109/ojpel.2021.3065877 .
LibreCat: /record/22162
DOI: 10.1109/ojpel.2021.3065877

Weber, Daniel, Stefan Heid, Henrik Bode, Jarren Lange, Eyke Hüllermeier, and Oliver Wallscheid. “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments.”https://doi.org/10.1109/ACCESS.2021.3062144__IEEE Access 9 (2021): 35654–35669.https://doi.org/10.1109/ACCESS.2021.3062144 .
LibreCat: /record/29653
DOI: 10.1109/ACCESS.2021.3062144

Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer.”https://doi.org/10.1109/tpel.2021.3080129__IEEE Transactions on Power Electronics 36, no. 11 (2021): 13261–74.https://doi.org/10.1109/tpel.2021.3080129 .
LibreCat: /record/30030
DOI: 10.1109/tpel.2021.3080129

Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach.”https://doi.org/10.1109/pemc48073.2021.9432615__In 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE, 2021.https://doi.org/10.1109/pemc48073.2021.9432615 .
LibreCat: /record/30031
DOI: 10.1109/pemc48073.2021.9432615

Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor.”https://doi.org/10.1109/iecon48115.2021.9589225__In IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2021.https://doi.org/10.1109/iecon48115.2021.9589225 .
LibreCat: /record/30029
DOI: 10.1109/iecon48115.2021.9589225

Stender, Marius, Oliver Wallscheid, and Joachim Böcker. “Gray-Box Loss Model for Induction Motor Drives.”https://doi.org/10.1109/pemc48073.2021.9432491__In 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC). IEEE, 2021.https://doi.org/10.1109/pemc48073.2021.9432491 .
LibreCat: /record/30032
DOI: 10.1109/pemc48073.2021.9432491

Hanke, Sören, Oliver Wallscheid, and Joachim Böcker. “Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor.”https://doi.org/10.1049%2Ficp.2021.1122__IET Digital Library, 2021.https://doi.org/10.1049%2Ficp.2021.1122 .
LibreCat: /record/29665
DOI: 10.1049%2Ficp.2021.1122

Wallscheid, Oliver. “Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges.” IEEE Open Journal of Industry Applications, 2021.
LibreCat: /record/29664

Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark.”https://doi.org/10.1109/tec.2021.3052546__IEEE Transactions on Energy Conversion 36, no. 3 (2021): 2059–67.https://doi.org/10.1109/tec.2021.3052546 .
LibreCat: /record/21251
DOI: 10.1109/tec.2021.3052546

Balakrishna, Praneeth, Gerrit Book, Wilhelm Kirchgässner, Maximilian Schenke, Arne Traue, and Oliver Wallscheid. “Gym-Electric-Motor (GEM): A Python Toolbox for the Simulation of Electric Drive Systems.”https://doi.org/10.21105/joss.02498__Journal of Open Source Software, 2021.https://doi.org/10.21105/joss.02498 .
LibreCat: /record/21254
DOI: 10.21105/joss.02498

Schenke, Maximilian, and Oliver Wallscheid. “A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors.”https://doi.org/10.1109/ojies.2021.3075521__IEEE Open Journal of the Industrial Electronics Society, 2021, 388–400.https://doi.org/10.1109/ojies.2021.3075521 .
LibreCat: /record/25031
DOI: 10.1109/ojies.2021.3075521