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94 Publications
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2022 | Conference Paper | LibreCat-ID: 40212
B. Haucke-Korber, M. Schenke, and O. 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, 2022, pp. 1–6.
LibreCat
2022 | Journal Article | LibreCat-ID: 34065
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning,” Engineering Applications of Artificial Intelligence, vol. 117, Art. no. 105537, 2022, doi: 10.1016/j.engappai.2022.105537.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 32859
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations,” 2022, doi: 10.23919/ipec-himeji2022-ecce53331.2022.9807209.
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2022 | Journal Article | LibreCat-ID: 44163
P. Rehlaender, O. Wallscheid, F. Schafmeister, and J. Böcker, “LLC Resonant Converter Modulations for Reduced Junction Temperatures in Half-Bridge Mode and Transformer Flux in the On-the-Fly Morphing Thereto,” IEEE Transactions on Power Electronics, vol. 37, no. 11, pp. 13413–13427, 2022, doi: 10.1109/tpel.2022.3180758.
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2022 | Conference Paper | LibreCat-ID: 42894
W. Kirchgässner, D. Wöckinger, O. Wallscheid, G. Bramerdorfer, and J. Böcker, “Application of Thermal Neural Networks on a Small-Scale Electric Motor,” in IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.
LibreCat
2022 | Journal Article | LibreCat-ID: 31085
A. Brosch, J. Rauhaus, O. Wallscheid, J. Böcker, and D. Zimmer, “Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems,” IEEE Open Journal of Industry Applications, 2022, doi: 10.1109/ojia.2022.3171333.
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2022 | Conference Paper | LibreCat-ID: 35126
N. Förster et al., “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), 2022, p. P.1-P.9.
LibreCat
2021 | Journal Article | LibreCat-ID: 29657
A. Brosch, O. Wallscheid, and J. Böcker, “Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation,” IEEE Open Journal of Industry Applications, vol. 2, pp. 47–63, 2021, doi: 10.1109/OJIA.2021.3066105.
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2021 | Conference Paper | LibreCat-ID: 29663
E. G. Gedlu, O. Wallscheid, and J. Böcker, “Temperature estimation of electric machines using a hybrid model of feed-forward neural and low-order lumped-parameter thermal networks,” in 2021 IEEE International Electric Machines & Drives Conference (IEMDC), 2021, pp. 1–8, doi: 10.1109/IEMDC47953.2021.9449548.
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2021 | Journal Article | LibreCat-ID: 22162
G. Book et al., “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments,” IEEE Open Journal of Power Electronics, pp. 187–201, 2021, doi: 10.1109/ojpel.2021.3065877.
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2021 | Journal Article | LibreCat-ID: 29653
D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, and O. Wallscheid, “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments,” IEEE Access, vol. 9, pp. 35654–35669, 2021, doi: 10.1109/ACCESS.2021.3062144.
LibreCat
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2021 | Journal Article | LibreCat-ID: 30030
M. Stender, O. Wallscheid, and J. Böcker, “Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer,” IEEE Transactions on Power Electronics, vol. 36, no. 11, pp. 13261–13274, 2021, doi: 10.1109/tpel.2021.3080129.
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2021 | Conference Paper | LibreCat-ID: 30031
M. Stender, O. Wallscheid, and J. Böcker, “Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach,” 2021, doi: 10.1109/pemc48073.2021.9432615.
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2021 | Conference Paper | LibreCat-ID: 30029
M. Stender, O. Wallscheid, and J. Böcker, “Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor,” 2021, doi: 10.1109/iecon48115.2021.9589225.
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2021 | Conference Paper | LibreCat-ID: 30032
M. Stender, O. Wallscheid, and J. Böcker, “Gray-Box Loss Model for Induction Motor Drives,” 2021, doi: 10.1109/pemc48073.2021.9432491.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 29665
S. Hanke, O. Wallscheid, and J. Böcker, “Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor,” 2021, doi: 10.1049%2Ficp.2021.1122.
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2021 | Journal Article | LibreCat-ID: 29664
O. Wallscheid, “Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges,” IEEE Open Journal of Industry Applications, 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 21251
W. Kirchgässner, O. Wallscheid, and J. Böcker, “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark,” IEEE Transactions on Energy Conversion, vol. 36, no. 3, pp. 2059–2067, 2021, doi: 10.1109/tec.2021.3052546.
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2021 | Journal Article | LibreCat-ID: 21254
P. Balakrishna, G. Book, W. Kirchgässner, M. Schenke, A. Traue, and O. Wallscheid, “gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems,” Journal of Open Source Software, Art. no. 2498, 2021, doi: 10.21105/joss.02498.
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2021 | Journal Article | LibreCat-ID: 25031
M. Schenke and O. Wallscheid, “A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors,” IEEE Open Journal of the Industrial Electronics Society, pp. 388–400, 2021, doi: 10.1109/ojies.2021.3075521.
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