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94 Publications
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2023 | Journal Article | LibreCat-ID: 48092
M. Pena, M. Meyer, O. Wallscheid, and J. Böcker, “Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines,” IEEE Transactions on Power Electronics, vol. 38, no. 10, pp. 12416–12429, 2023, doi: 10.1109/tpel.2023.3286713.
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2023 | Conference Paper | LibreCat-ID: 53310
E. G. Gedlu, O. Wallscheid, J. Böcker, and O. Nelles, “Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control,” 2023, doi: 10.1109/sdemped54949.2023.10271427.
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2023 | Journal Article | LibreCat-ID: 53543
F. Winkel, P. Scholz, O. Wallscheid, and J. Böcker, “Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time,” IEEE Transactions on Automation Science and Engineering, pp. 1–11, 2023, doi: 10.1109/tase.2023.3322762.
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2022 | Conference Paper | LibreCat-ID: 30349
N. Förster, P. Rehlaender, O. Wallscheid, F. Schafmeister, and J. Böcker, “An Open-Source Transistor Database and Toolbox as an Unified Software Engineering Tool for Managing and Evaluating Power Transistors,” presented at the 37th IEEE Applied Power Electronics Conference (APEC 22), Houston, TX, USA.
LibreCat
2022 | Journal Article | LibreCat-ID: 34533
A. Brosch, O. Wallscheid, and J. Böcker, “Model Predictive Torque Control for Permanent Magnet Synchronous Motors Using a Stator-Fixed Harmonic Flux Reference Generator in the Entire Modulation Range,” IEEE Transactions on Power Electronics, 2022, doi: 10.1109/tpel.2022.3229619.
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2022 | Journal Article | LibreCat-ID: 33459
A. Brosch, O. Wallscheid, and J. Böcker, “Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control,” IEEE Transactions on Power Electronics, 2022, doi: 10.1109/tpel.2022.3206598.
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2022 | Conference Paper | LibreCat-ID: 33489
J. Lange, D. Schmies, K. S. C. Stille, J. Böcker, and O. Wallscheid, “Experimental Comparison of FPGA-Implemented Model Predictive Voltage Control to Cascaded Proportional Resonant Control for a Three-Phase Four-Wire Three-Level Grid-Forming Inverter of 250 kVA,” presented at the EPE’22 ECCE Europe, Hannover, 2022.
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2022 | Conference Paper | LibreCat-ID: 34299
M. Stender, M. Becker, O. Wallscheid, and J. Böcker, “Adaptive Operating Strategy for Induction Motors Under Changing Electrical-Thermal Conditions,” presented at the 48th Annual Conference of the Industrial Electronics Society IECON 2022 Conference, Brüssel, 2022, doi: 10.1109/IECON49645.2022.9968695.
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2022 | Conference Paper | LibreCat-ID: 35125
N. Förster, P. Rehlaender, O. Wallscheid, F. Schafmeister, and J. Böcker, “An Open-Source Transistor Database and Toolbox as a Unified Software Engineering Tool for Managing and Evaluating Power Transistors,” 2022, doi: 10.1109/apec43599.2022.9773701.
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2022 | Conference Paper | LibreCat-ID: 35127
N. Förster, T. Piepenbrock, P. Rehlaender, O. Wallscheid, F. Schafmeister, and J. Böcker, “An Open-Source FEM Magnetics Toolbox for Power Electronic Magnetic Components,” in PCIM Europe 2022; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 2022, pp. 1–10, doi: 10.30420/565822103.
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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.
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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.
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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.
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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.
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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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