@inproceedingsHaucke-Korber_Schenke_Wallscheid_2022, title=Reinforcement Learning-Based Deep Q Direct Torque Control with Adaptable Switching Frequency Towards Six-Step Operation of Permanent Magnet Synchronous Motors, booktitle=IKMT 2022; 13. GMM/ETG-Symposium, author=Haucke-Korber, Barnabas and Schenke, Maximilian and Wallscheid, Oliver, year=2022, pages=1–6 

@articleKirchgässner_Wallscheid_Böcker_2022, title=Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning, volume=117, DOI=10.1016/j.engappai.2022.105537, number=105537, journal=Engineering Applications of Artificial Intelligence, publisher=Elsevier BV, author=Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim, year=2022 

@inproceedingsKirchgässner_Wallscheid_Böcker_2022, title=Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations, DOI=10.23919/ipec-himeji2022-ecce53331.2022.9807209, booktitle=2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), publisher=IEEE, author=Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim, year=2022 

@articleRehlaender_Wallscheid_Schafmeister_Böcker_2022, title=LLC Resonant Converter Modulations for Reduced Junction Temperatures in Half-Bridge Mode and Transformer Flux in the On-the-Fly Morphing Thereto, volume=37, DOI=10.1109/tpel.2022.3180758, number=11, journal=IEEE Transactions on Power Electronics, publisher=Institute of Electrical and Electronics Engineers (IEEE), author=Rehlaender, Philipp and Wallscheid, Oliver and Schafmeister, Frank and Böcker, Joachim, year=2022, pages=13413–13427 

@inproceedingsKirchgässner_Wöckinger_Wallscheid_Bramerdorfer_Böcker_2022, title=Application of Thermal Neural Networks on a Small-Scale Electric Motor, booktitle=IKMT 2022; 13. GMM/ETG-Symposium, author=Kirchgässner, Wilhelm and Wöckinger, Daniel and Wallscheid, Oliver and Bramerdorfer, Gerd and Böcker, Joachim, year=2022, pages=1–6 

@articleBrosch_Rauhaus_Wallscheid_Böcker_Zimmer_2022, title=Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems, DOI=10.1109/ojia.2022.3171333, journal=IEEE Open Journal of Industry Applications, publisher=Institute of Electrical and Electronics Engineers (IEEE), author=Brosch, Anian and Rauhaus, Johann and Wallscheid, Oliver and Böcker, Joachim and Zimmer, Detmar, year=2022 

@inproceedingsFörster_Hölscher_Piepenbrock_Rehlaender_Wallscheid_Schafmeister_Böcker_2022, title=An Open-Source FEM Magnetic Toolbox for Calculating Electric and Thermal Behavior of Power Electronic Magnetic Components, booktitle=2022 24th European Conference on Power Electronics and Applications (EPE’22 ECCE Europe), author=Förster, Nikolas and Hölscher, Jonas and Piepenbrock, Till and Rehlaender, Philipp and Wallscheid, Oliver and Schafmeister, Frank and Böcker, Joachim, year=2022, pages=P.1-P.9 

@articleBrosch_Wallscheid_Böcker_2021, title=Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation, volume=2, DOI=10.1109/OJIA.2021.3066105, journal=IEEE Open Journal of Industry Applications, publisher=IEEE, author=Brosch, Anian and Wallscheid, Oliver and Böcker, Joachim, year=2021, pages=47–63 

@inproceedingsGedlu_Wallscheid_Böcker_2021, title=Temperature estimation of electric machines using a hybrid model of feed-forward neural and low-order lumped-parameter thermal networks, DOI=10.1109/IEMDC47953.2021.9449548, booktitle=2021 IEEE International Electric Machines &; Drives Conference (IEMDC), author=Gedlu, Emebet Gebeyehu and Wallscheid, Oliver and Böcker, Joachim, year=2021, pages=1–8 

@articleBook_Traue_Balakrishna_Brosch_Schenke_Hanke_Kirchgässner_Wallscheid_2021, title=Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments, DOI=10.1109/ojpel.2021.3065877, journal=IEEE Open Journal of Power Electronics, author=Book, Gerrit and Traue, Arne and Balakrishna, Praneeth and Brosch, Anian and Schenke, Maximilian and Hanke, Sören and Kirchgässner, Wilhelm and Wallscheid, Oliver, year=2021, pages=187–201 

@articleWeber_Heid_Bode_Lange_Hüllermeier_Wallscheid_2021, title=Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments, volume=9, DOI=10.1109/ACCESS.2021.3062144, journal=IEEE Access, publisher=IEEE, author=Weber, Daniel and Heid, Stefan and Bode, Henrik and Lange, Jarren and Hüllermeier, Eyke and Wallscheid, Oliver, year=2021, pages=35654–35669 

@articleStender_Wallscheid_Böcker_2021, title=Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer, volume=36, DOI=10.1109/tpel.2021.3080129, number=11, journal=IEEE Transactions on Power Electronics, publisher=Institute of Electrical and Electronics Engineers (IEEE), author=Stender, Marius and Wallscheid, Oliver and Böcker, Joachim, year=2021, pages=13261–13274 

@inproceedingsStender_Wallscheid_Böcker_2021, title=Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach, DOI=10.1109/pemc48073.2021.9432615, booktitle=2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), publisher=IEEE, author=Stender, Marius and Wallscheid, Oliver and Böcker, Joachim, year=2021 

@inproceedingsStender_Wallscheid_Böcker_2021, title=Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor, DOI=10.1109/iecon48115.2021.9589225, booktitle=IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, publisher=IEEE, author=Stender, Marius and Wallscheid, Oliver and Böcker, Joachim, year=2021 

@inproceedingsStender_Wallscheid_Böcker_2021, title=Gray-Box Loss Model for Induction Motor Drives, DOI=10.1109/pemc48073.2021.9432491, booktitle=2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), publisher=IEEE, author=Stender, Marius and Wallscheid, Oliver and Böcker, Joachim, year=2021 

@inproceedingsHanke_Wallscheid_Böcker_2021, title=Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor, DOI=10.1049%2Ficp.2021.1122, publisher=IET Digital Library, author=Hanke, Sören and Wallscheid, Oliver and Böcker, Joachim, year=2021 

@articleWallscheid_2021, title=Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges, journal=IEEE Open Journal of Industry Applications, publisher=IEEE, author=Wallscheid, Oliver, year=2021 

@articleKirchgässner_Wallscheid_Böcker_2021, title=Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark, volume=36, DOI=10.1109/tec.2021.3052546, number=3, journal=IEEE Transactions on Energy Conversion, author=Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim, year=2021, pages=2059–2067 

@articleBalakrishna_Book_Kirchgässner_Schenke_Traue_Wallscheid_2021, title=gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems, DOI=10.21105/joss.02498, number=2498, journal=Journal of Open Source Software, author=Balakrishna, Praneeth and Book, Gerrit and Kirchgässner, Wilhelm and Schenke, Maximilian and Traue, Arne and Wallscheid, Oliver, year=2021 

@articleSchenke_Wallscheid_2021, title=A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors, DOI=10.1109/ojies.2021.3075521, journal=IEEE Open Journal of the Industrial Electronics Society, author=Schenke, Maximilian and Wallscheid, Oliver, year=2021, pages=388–400