Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
96 Publications
- 1
- 2 (current)
- 3
- 4
- 5
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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
| DOI
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.
LibreCat
| DOI
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.
LibreCat
| DOI
- 1
- 2 (current)
- 3
- 4
- 5