Pena, M., Meyer, M., Wallscheid, O., &; Böcker, J. (2023). Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control. 2023 IEEE International Electric Machines and Drives Conference (IEMDC). 2023 IEEE International Electric Machines and Drives Conference (IEMDC), San Francisco.https://doi.org/10.1109/iemdc55163.2023.10239056 

Pena, M., Meyer, M., Wallscheid, O., &; Böcker, J. (2023). Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines. IEEE Transactions on Power Electronics, 38(10), 12416–12429.https://doi.org/10.1109/tpel.2023.3286713 

Jakobeit, D., Schenke, M., &; Wallscheid, O. (2023). Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes. IEEE Transactions on Power Electronics, 38(7), 8062–8074.https://doi.org/10.1109/tpel.2023.3256424 

Gedlu, E. G., Wallscheid, O., Böcker, J., &; Nelles, O. (2023). Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control. 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED).https://doi.org/10.1109/sdemped54949.2023.10271427 

Winkel, F., Scholz, P., Wallscheid, O., &; Böcker, J. (2023). Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time. IEEE Transactions on Automation Science and Engineering, 1–11.https://doi.org/10.1109/tase.2023.3322762 

Urbaneck, D., Böcker, J., &; Schafmeister, F. (2023). Advanced Synchronous Rectification for an IGBT-Based ZCS LLC Converter with High Output Currents for a 2 kW Automotive DC-DC Stage. PCIM Europe 2023; IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management .

Schafmeister, F. (n.d.). Compensation of LF Common-Mode Noise by the internal DC/DC-Stage for transformerless On-Board Chargers at Three- and Single-Phase Operation. International Conference on Electric &; Electronic in Hybrid and Electric Vehicles and Electric Energy Management (EEHE),. International Conference on Electric &; Electronic in Hybrid and Electric Vehicles and Electric Energy Management (EEHE 22) , Bamberg, Germany.

Förster, N., Rehlaender, P., Wallscheid, O., Schafmeister, F., &; Böcker, J. (n.d.). An Open-Source Transistor Database and Toolbox as an Unified Software Engineering Tool for Managing and Evaluating Power Transistors. Proc. 37th IEEE Applied Power Electronics Conference (APEC). 37th IEEE Applied Power Electronics Conference (APEC 22), Houston, TX, USA.

Keuck, L., Schafmeister, F., &; Böcker, J. (n.d.). Robust Hysteresis Control for LLC Resonant Converters Using a Fully Isolated Measurement Scheme. Proc. IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM).  IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM 22), Nuremberg, Germany.

Huber, J., Wallmeier, P., Pieper, R., Schafmeister, F., &; Kolar, J. (n.d.). Comparative Evaluation of MVAC-LVDC SST and Hybrid Transformer Concepts for Future Datacenters. Proc. 9th IEEJ International Power Electronics Conference (IPEC). 9th IEEJ International Power Electronics Conference (IPEC), Himeji, Japan.

Brosch, A., Wallscheid, O., &; Böcker, J. (2022). 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.https://doi.org/10.1109/tpel.2022.3229619 

Böcker, J. (2022). Concept Study of an LLC Converter with Magnetically Resonant Inductor. 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). SPEEDAM, Sorrento, Italy.https://doi.org/10.1109/speedam53979.2022.9842047 

Brosch, A., Wallscheid, O., &; Böcker, J. (2022). 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.https://doi.org/10.1109/tpel.2022.3206598 

Lange, J., Schmies, D., Stille, K. S. C., Böcker, J., &; Wallscheid, O. (2022). 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. EPE’22 ECCE Europe. EPE’22 ECCE Europe, Hannover.

Förster, N., Rehlaender, P., Wallscheid, O., Schafmeister, F., &; Böcker, J. (2022). An Open-Source Transistor Database and Toolbox as a Unified Software Engineering Tool for Managing and Evaluating Power Transistors. 2022 IEEE Applied Power Electronics Conference and Exposition (APEC).https://doi.org/10.1109/apec43599.2022.9773701 

Förster, N., Piepenbrock, T., Rehlaender, P., Wallscheid, O., Schafmeister, F., &; Böcker, J. (2022). An Open-Source FEM Magnetics Toolbox for Power Electronic Magnetic Components. PCIM Europe 2022; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 1–10.https://doi.org/10.30420/565822103 

Kirchgässner, W., Wallscheid, O., &; Böcker, J. (2022). Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. Engineering Applications of Artificial Intelligence, 117, Article 105537.https://doi.org/10.1016/j.engappai.2022.105537 

Kirchgässner, W., Wallscheid, O., &; Böcker, J. (2022). Learning Thermal Properties and Temperature Models of Electric Motors with Neural Ordinary Differential Equations. 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia).https://doi.org/10.23919/ipec-himeji2022-ecce53331.2022.9807209 

Rehlaender, P., Wallscheid, O., Schafmeister, F., &; Böcker, J. (2022). 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, 37(11), 13413–13427.https://doi.org/10.1109/tpel.2022.3180758 

Kirchgässner, W., Wöckinger, D., Wallscheid, O., Bramerdorfer, G., &; Böcker, J. (2022). Application of Thermal Neural Networks on a Small-Scale Electric Motor. IKMT 2022; 13. GMM/ETG-Symposium, 1–6.