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94 Publications


2022 | Conference Paper | LibreCat-ID: 40212
Haucke-Korber, Barnabas, et al. “Reinforcement Learning-Based Deep Q Direct Torque Control with Adaptable Switching Frequency Towards Six-Step Operation of Permanent Magnet Synchronous Motors.” IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.
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2022 | Journal Article | LibreCat-ID: 34065
Kirchgässner, Wilhelm, et al. “Thermal Neural Networks: Lumped-Parameter Thermal Modeling with State-Space Machine Learning.” Engineering Applications of Artificial Intelligence, vol. 117, 105537, Elsevier BV, 2022, doi:10.1016/j.engappai.2022.105537.
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2022 | Conference Paper | LibreCat-ID: 32859
Kirchgässner, Wilhelm, et al. “Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations.” 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), IEEE, 2022, doi:10.23919/ipec-himeji2022-ecce53331.2022.9807209.
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2022 | Journal Article | LibreCat-ID: 44163
Rehlaender, Philipp, et al. “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, Institute of Electrical and Electronics Engineers (IEEE), 2022, pp. 13413–27, doi:10.1109/tpel.2022.3180758.
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2022 | Conference Paper | LibreCat-ID: 42894
Kirchgässner, Wilhelm, et al. “Application of Thermal Neural Networks on a Small-Scale Electric Motor.” IKMT 2022; 13. GMM/ETG-Symposium, 2022, pp. 1–6.
LibreCat
 

2022 | Journal Article | LibreCat-ID: 31085
Brosch, Anian, et al. “Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems.” IEEE Open Journal of Industry Applications, Institute of Electrical and Electronics Engineers (IEEE), 2022, doi:10.1109/ojia.2022.3171333.
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2022 | Conference Paper | LibreCat-ID: 35126
Förster, Nikolas, et al. “An Open-Source FEM Magnetic Toolbox for Calculating Electric and Thermal Behavior of Power Electronic Magnetic Components.” 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
Brosch, Anian, et al. “Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation.” IEEE Open Journal of Industry Applications, vol. 2, IEEE, 2021, pp. 47–63, doi:10.1109/OJIA.2021.3066105.
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2021 | Conference Paper | LibreCat-ID: 29663
Gedlu, Emebet Gebeyehu, et al. “Temperature Estimation of Electric Machines Using a Hybrid Model of Feed-Forward Neural and Low-Order Lumped-Parameter Thermal Networks.” 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
Book, Gerrit, et al. “Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments.” IEEE Open Journal of Power Electronics, 2021, pp. 187–201, doi:10.1109/ojpel.2021.3065877.
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2021 | Journal Article | LibreCat-ID: 29653
Weber, Daniel, et al. “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments.” IEEE Access, vol. 9, IEEE, 2021, pp. 35654–35669, doi:10.1109/ACCESS.2021.3062144.
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2021 | Journal Article | LibreCat-ID: 30030
Stender, Marius, et al. “Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer.” IEEE Transactions on Power Electronics, vol. 36, no. 11, Institute of Electrical and Electronics Engineers (IEEE), 2021, pp. 13261–74, doi:10.1109/tpel.2021.3080129.
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2021 | Conference Paper | LibreCat-ID: 30031
Stender, Marius, et al. “Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach.” 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), IEEE, 2021, doi:10.1109/pemc48073.2021.9432615.
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2021 | Conference Paper | LibreCat-ID: 30029
Stender, Marius, et al. “Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor.” IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2021, doi:10.1109/iecon48115.2021.9589225.
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2021 | Conference Paper | LibreCat-ID: 30032
Stender, Marius, et al. “Gray-Box Loss Model for Induction Motor Drives.” 2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC), IEEE, 2021, doi:10.1109/pemc48073.2021.9432491.
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2021 | Conference Paper | LibreCat-ID: 29665
Hanke, Sören, et al. Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor. IET Digital Library, 2021, doi:10.1049%2Ficp.2021.1122.
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2021 | Journal Article | LibreCat-ID: 29664
Wallscheid, Oliver. “Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges.” IEEE Open Journal of Industry Applications, IEEE, 2021.
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2021 | Journal Article | LibreCat-ID: 21251
Kirchgässner, Wilhelm, et al. “Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark.” IEEE Transactions on Energy Conversion, vol. 36, no. 3, 2021, pp. 2059–67, doi:10.1109/tec.2021.3052546.
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2021 | Journal Article | LibreCat-ID: 21254
Balakrishna, Praneeth, et al. “Gym-Electric-Motor (GEM): A Python Toolbox for the Simulation of Electric Drive Systems.” Journal of Open Source Software, 2498, 2021, doi:10.21105/joss.02498.
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2021 | Journal Article | LibreCat-ID: 25031
Schenke, Maximilian, and Oliver Wallscheid. “A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors.” IEEE Open Journal of the Industrial Electronics Society, 2021, pp. 388–400, doi:10.1109/ojies.2021.3075521.
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