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In: <i>SPEEDAM 2024; 27th International Symposium on Power Electronics, Electrical Drives, Automation and Motion</i>. doi:<a href=\"https://doi.org/10.1109/SPEEDAM61530.2024.10609111\">10.1109/SPEEDAM61530.2024.10609111</a>","bibtex":"@inproceedings{Piepenbrock_Schafmeister_Böcker, place={Ischia}, title={FEM Modelling of Dimensional-Resonant Inductors for LLC Converters in MHz Range}, DOI={<a href=\"https://doi.org/10.1109/SPEEDAM61530.2024.10609111\">10.1109/SPEEDAM61530.2024.10609111</a>}, booktitle={SPEEDAM 2024; 27th International Symposium on Power Electronics, Electrical Drives, Automation and Motion}, author={Piepenbrock, Till and Schafmeister, Frank and Böcker, Joachim} }"},"publication":"SPEEDAM 2024; 27th International Symposium on Power Electronics, Electrical Drives, Automation and Motion","related_material":{"link":[{"relation":"confirmation","url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10609111"}]}},{"date_created":"2026-01-06T08:06:24Z","type":"conference","keyword":["MOSFET","Thermal resistance","Surface resistance","Bridge circuits","Zero voltage switching","Pareto optimization","Capacitance","Numerical simulation","Optimization","Resistance heating","Pareto Optimization","Dual-Active Bridge","ZVS","Inductor Optimization","Transformer Optimization","Heat Sink Optimization"],"department":[{"_id":"52"}],"publication":"2024 IEEE Design Methodologies Conference (DMC)","citation":{"mla":"Förster, Nikolas, et al. “Dual-Active Bridge Sequential Pareto Optimization for Fast Pre-Design and Final Component Selection.” <i>2024 IEEE Design Methodologies Conference (DMC)</i>, 2024, pp. 1–8, doi:<a href=\"https://doi.org/10.1109/DMC62632.2024.10812131\">10.1109/DMC62632.2024.10812131</a>.","ama":"Förster N, Wallscheid O, Schafmeister F. Dual-Active Bridge Sequential Pareto Optimization for Fast Pre-Design and Final Component Selection. In: <i>2024 IEEE Design Methodologies Conference (DMC)</i>. ; 2024:1-8. doi:<a href=\"https://doi.org/10.1109/DMC62632.2024.10812131\">10.1109/DMC62632.2024.10812131</a>","bibtex":"@inproceedings{Förster_Wallscheid_Schafmeister_2024, title={Dual-Active Bridge Sequential Pareto Optimization for Fast Pre-Design and Final Component Selection}, DOI={<a href=\"https://doi.org/10.1109/DMC62632.2024.10812131\">10.1109/DMC62632.2024.10812131</a>}, booktitle={2024 IEEE Design Methodologies Conference (DMC)}, author={Förster, Nikolas and Wallscheid, Oliver and Schafmeister, Frank}, year={2024}, pages={1–8} }","apa":"Förster, N., Wallscheid, O., &#38; Schafmeister, F. (2024). Dual-Active Bridge Sequential Pareto Optimization for Fast Pre-Design and Final Component Selection. <i>2024 IEEE Design Methodologies Conference (DMC)</i>, 1–8. <a href=\"https://doi.org/10.1109/DMC62632.2024.10812131\">https://doi.org/10.1109/DMC62632.2024.10812131</a>","ieee":"N. Förster, O. Wallscheid, and F. Schafmeister, “Dual-Active Bridge Sequential Pareto Optimization for Fast Pre-Design and Final Component Selection,” in <i>2024 IEEE Design Methodologies Conference (DMC)</i>, 2024, pp. 1–8, doi: <a href=\"https://doi.org/10.1109/DMC62632.2024.10812131\">10.1109/DMC62632.2024.10812131</a>.","short":"N. Förster, O. Wallscheid, F. Schafmeister, in: 2024 IEEE Design Methodologies Conference (DMC), 2024, pp. 1–8.","chicago":"Förster, Nikolas, Oliver Wallscheid, and Frank Schafmeister. “Dual-Active Bridge Sequential Pareto Optimization for Fast Pre-Design and Final Component Selection.” In <i>2024 IEEE Design Methodologies Conference (DMC)</i>, 1–8, 2024. <a href=\"https://doi.org/10.1109/DMC62632.2024.10812131\">https://doi.org/10.1109/DMC62632.2024.10812131</a>."},"page":"1-8","language":[{"iso":"eng"}],"_id":"63497","doi":"10.1109/DMC62632.2024.10812131","user_id":"83383","status":"public","year":"2024","title":"Dual-Active Bridge Sequential Pareto Optimization for Fast Pre-Design and Final Component Selection","author":[{"full_name":"Förster, Nikolas","first_name":"Nikolas","last_name":"Förster"},{"full_name":"Wallscheid, Oliver","first_name":"Oliver","last_name":"Wallscheid"},{"full_name":"Schafmeister, Frank","last_name":"Schafmeister","first_name":"Frank"}],"date_updated":"2026-01-06T08:07:50Z"},{"doi":"https://doi.org/10.1109/ECCEEurope62508.2024.10751954","main_file_link":[{"url":"https://ieeexplore.ieee.org/abstract/document/10751954"}],"language":[{"iso":"eng"}],"date_updated":"2024-11-28T14:16:05Z","publication_status":"accepted","year":"2024","title":"Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter","publication_identifier":{"isbn":["979-8-3503-6444-6"]},"author":[{"full_name":"Unruh, Roland","last_name":"Unruh","first_name":"Roland","id":"34289"},{"full_name":"Böcker, Joachim","last_name":"Böcker","orcid":"0000-0002-8480-7295","first_name":"Joachim","id":"66"},{"id":"71291","full_name":"Schafmeister, Frank","first_name":"Frank","last_name":"Schafmeister"}],"keyword":["Cascaded H-Bridge","Converter Losses","Decentralized Control","Full-Bridge Converter","LLC Resonant Converter"],"type":"conference","department":[{"_id":"52"}],"date_created":"2024-05-19T14:26:29Z","abstract":[{"lang":"eng","text":"Although there are numerous design and control methodologies for the LLC resonant converter,\r\nthey often do not consider decentralized control strategies to operate them as isolated DC-DC converters within a\r\ncascaded H-bridge. The total output power of all LLC converters must be constant to supply a load such as a wa-\r\nter electrolyzer. However, each individual LLC converter can vary its output power as long as the total output\r\npower remains constant. This opens new possibilities in increasing the system efficiency and robustness. Usually,\r\nthe DC-link voltage of each module capacitor shows a 2nd harmonic voltage ripple. However, the total stored energy\r\nin all DC-link capacitors is constant within a grid period for a balanced three-phase system. By controlling each\r\nLLC converter’s output power locally to be proportional to the energy stored in its DC-link capacitor, modules with\r\na lower instantaneous DC-link voltage transfer less power to the load than modules with a higher DC-link voltage.\r\nAs a result, a higher efficiency, voltage gain and lower peak resonant capacitor voltage can be achieved with the\r\nsame components. The 22.2kW experimental prototype of the LLC converter reaches an efficiency of over 97% at\r\nresonance which is similar to the precalculated value."}],"publication":"ECCE Europe 2024; IEEE Energy Conversion Congress & Exposition Europe","user_id":"34289","_id":"54356","publisher":"IEEE","status":"public","conference":{"end_date":"2024-09-06","name":"ECCE Europe 2024","start_date":"2024-09-02","location":"Darmstadt, Germany"},"place":"Darmstadt","citation":{"mla":"Unruh, Roland, et al. “Experimentally Verified 22 KW, 40 KHz LLC Resonant Converter Design with New Control for a 1 MW Cascaded H-Bridge Converter.” <i>ECCE Europe 2024; IEEE Energy Conversion Congress &#38; Exposition Europe</i>, IEEE, doi:<a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">https://doi.org/10.1109/ECCEEurope62508.2024.10751954</a>.","ama":"Unruh R, Böcker J, Schafmeister F. Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter. In: <i>ECCE Europe 2024; IEEE Energy Conversion Congress &#38; Exposition Europe</i>. IEEE. doi:<a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">https://doi.org/10.1109/ECCEEurope62508.2024.10751954</a>","bibtex":"@inproceedings{Unruh_Böcker_Schafmeister, place={Darmstadt}, title={Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter}, DOI={<a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">https://doi.org/10.1109/ECCEEurope62508.2024.10751954</a>}, booktitle={ECCE Europe 2024; IEEE Energy Conversion Congress &#38; Exposition Europe}, publisher={IEEE}, author={Unruh, Roland and Böcker, Joachim and Schafmeister, Frank} }","apa":"Unruh, R., Böcker, J., &#38; Schafmeister, F. (n.d.). Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter. <i>ECCE Europe 2024; IEEE Energy Conversion Congress &#38; Exposition Europe</i>. ECCE Europe 2024, Darmstadt, Germany. <a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">https://doi.org/10.1109/ECCEEurope62508.2024.10751954</a>","ieee":"R. Unruh, J. Böcker, and F. Schafmeister, “Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter,” presented at the ECCE Europe 2024, Darmstadt, Germany, doi: <a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">https://doi.org/10.1109/ECCEEurope62508.2024.10751954</a>.","short":"R. Unruh, J. Böcker, F. Schafmeister, in: ECCE Europe 2024; IEEE Energy Conversion Congress &#38; Exposition Europe, IEEE, Darmstadt, n.d.","chicago":"Unruh, Roland, Joachim Böcker, and Frank Schafmeister. “Experimentally Verified 22 KW, 40 KHz LLC Resonant Converter Design with New Control for a 1 MW Cascaded H-Bridge Converter.” In <i>ECCE Europe 2024; IEEE Energy Conversion Congress &#38; Exposition Europe</i>. Darmstadt: IEEE, n.d. <a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">https://doi.org/10.1109/ECCEEurope62508.2024.10751954</a>."}},{"status":"public","conference":{"name":" Energy Conversion Congress & Expo (ECCE Europe)","start_date":"2024-09-02","location":"Darmstadt","end_date":"2024-09-06"},"has_accepted_license":"1","_id":"58648","publisher":"IEEE","user_id":"71291","ddc":["620"],"file_date_updated":"2025-02-14T15:32:17Z","citation":{"short":"R. Unruh, J. Böcker, F. Schafmeister, in: Proceedings of the Energy Conversion Congress &#38; Expo (ECCE Europe), IEEE, 2024.","chicago":"Unruh, Roland, Joachim  Böcker, and Frank Schafmeister. “Experimentally Verified 22 KW, 40 KHz LLC Resonant Converter Design with New Control for a 1 MW Cascaded H-Bridge Converter.” In <i>Proceedings of the Energy Conversion Congress &#38; Expo (ECCE Europe)</i>. IEEE, 2024. <a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">https://doi.org/10.1109/ECCEEurope62508.2024.10751954</a>.","ieee":"R. Unruh, J. Böcker, and F. Schafmeister, “Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter,” presented at the  Energy Conversion Congress &#38; Expo (ECCE Europe), Darmstadt, 2024, doi: <a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">10.1109/ECCEEurope62508.2024.10751954</a>.","apa":"Unruh, R., Böcker, J., &#38; Schafmeister, F. (2024). Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter. <i>Proceedings of the Energy Conversion Congress &#38; Expo (ECCE Europe)</i>.  Energy Conversion Congress &#38; Expo (ECCE Europe), Darmstadt. <a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">https://doi.org/10.1109/ECCEEurope62508.2024.10751954</a>","bibtex":"@inproceedings{Unruh_Böcker_Schafmeister_2024, title={Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter}, DOI={<a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">10.1109/ECCEEurope62508.2024.10751954</a>}, booktitle={Proceedings of the Energy Conversion Congress &#38; Expo (ECCE Europe)}, publisher={IEEE}, author={Unruh, Roland and Böcker, Joachim  and Schafmeister, Frank}, year={2024} }","ama":"Unruh R, Böcker J, Schafmeister F. Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter. In: <i>Proceedings of the Energy Conversion Congress &#38; Expo (ECCE Europe)</i>. IEEE; 2024. doi:<a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">10.1109/ECCEEurope62508.2024.10751954</a>","mla":"Unruh, Roland, et al. “Experimentally Verified 22 KW, 40 KHz LLC Resonant Converter Design with New Control for a 1 MW Cascaded H-Bridge Converter.” <i>Proceedings of the Energy Conversion Congress &#38; Expo (ECCE Europe)</i>, IEEE, 2024, doi:<a href=\"https://doi.org/10.1109/ECCEEurope62508.2024.10751954\">10.1109/ECCEEurope62508.2024.10751954</a>."},"title":"Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter","year":"2024","author":[{"id":"34289","full_name":"Unruh, Roland","first_name":"Roland","last_name":"Unruh"},{"full_name":"Böcker, Joachim ","first_name":"Joachim ","last_name":"Böcker"},{"last_name":"Schafmeister","first_name":"Frank","full_name":"Schafmeister, Frank","id":"71291"}],"publication_status":"published","date_updated":"2025-02-14T15:33:10Z","language":[{"iso":"eng"}],"doi":"10.1109/ECCEEurope62508.2024.10751954","publication":"Proceedings of the Energy Conversion Congress & Expo (ECCE Europe)","file":[{"date_created":"2025-02-14T15:32:17Z","creator":"schafmei","content_type":"application/pdf","success":1,"file_id":"58649","file_size":3829411,"access_level":"closed","file_name":"EPE_2024_09_02-Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter.pdf","date_updated":"2025-02-14T15:32:17Z","relation":"main_file"}],"date_created":"2025-02-14T15:30:36Z","type":"conference","department":[{"_id":"52"}]},{"date_created":"2025-02-21T11:38:22Z","department":[{"_id":"52"}],"type":"dissertation","citation":{"ieee":"W. Kirchgässner, <i>Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning</i>. LibreCat University, 2024.","apa":"Kirchgässner, W. (2024). <i>Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning</i>. LibreCat University. <a href=\"https://doi.org/10.17619/UNIPB/1-2068\">https://doi.org/10.17619/UNIPB/1-2068</a>","mla":"Kirchgässner, Wilhelm. <i>Data-Driven Thermal Modeling of a Permanent Magnet Synchronous Motor with Machine Learning</i>. LibreCat University, 2024, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2068\">10.17619/UNIPB/1-2068</a>.","bibtex":"@book{Kirchgässner_2024, title={Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-2068\">10.17619/UNIPB/1-2068</a>}, publisher={LibreCat University}, author={Kirchgässner, Wilhelm}, year={2024} }","chicago":"Kirchgässner, Wilhelm. <i>Data-Driven Thermal Modeling of a Permanent Magnet Synchronous Motor with Machine Learning</i>. LibreCat University, 2024. <a href=\"https://doi.org/10.17619/UNIPB/1-2068\">https://doi.org/10.17619/UNIPB/1-2068</a>.","short":"W. Kirchgässner, Data-Driven Thermal Modeling of a Permanent Magnet Synchronous Motor with Machine Learning, LibreCat University, 2024.","ama":"Kirchgässner W. <i>Data-Driven Thermal Modeling of a Permanent Magnet Synchronous Motor with Machine Learning</i>. LibreCat University; 2024. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2068\">10.17619/UNIPB/1-2068</a>"},"abstract":[{"lang":"eng","text":"Der Permanentmagnet-Synchronmotor (PMSM) ist aufgrund seiner hohen Leistungs- und Drehmomentdichte bezogen auf Volumen und Gewicht ein häufig verwendeter Traktionsmotor in Automobilanwendungen. Jene Charakteristika werden jedoch maßgeblich durch Temperaturhöchstwerte begrenzt. Hinzu kommt, dass die Temperatur wichtiger Rotorkomponenten nicht wirtschaftlich messbar ist. Temperaturschätzverfahren wie modellbasierte Ansätze sind potentiell in der Lage, das Problem der fehlenden Temperaturinformation zu relativieren, ohne zusätzliche Geräte zu erfordern. Diese Arbeit stellt ein Portfolio von thermischen Modellen aus dem Bereich des maschinellen Lernens zusammen. Die Untersuchung basiert auf einem PMSM-Datensatz, der auf einem Prüfstand aufgezeichnet wurde. Neben dem durchschnittlichen Schätzfehler diktiert die erforderliche Anzahl von Modellparametern zahlreiche Auslegungsentscheidungen. Der gesamte Entwurfsprozess eines Modells aus dem maschinellen Lernen wird beleuchtet und für verschiedene lineare, sowie baumbasierte Modelle; vorschiebende, rekurrente und faltende neuronale Netze als auch für verschiedene hybride Modellierungsansätze durchgeführt. Desweiteren wird der hybride Modellierungsansatz über thermische neuronale Netze besonders hervorgehoben. Sie setzen sich aus neuronalen Netzen und einem thermischen Ersatzschaltbild zusammen und wurden erstmals vom Autor dieser Arbeit veröffentlicht. Schließlich wird ein von Experten entworfenes, datengetriebenes thermisches Netz mit konzentrierten Parametern über verschiedene Algorithmen optimiert und als Stand der Technik herangezogen."},{"lang":"eng","text":"The permanent magnet synchronous motor (PMSM) is a commonly used traction motor in automotive applications due to its high power and torque density with respect to volume and weight. These characteristics are constrained by the maximum temperature at which vital components can still operate without harm. Moreover, important rotor component temperatures cannot be measured economically. Temperature estimation methods such as model-based approaches can alleviate the problem of missing thermal information at potentially no additionally required equipment. This work collates a portfolio of data-driven thermal models from the domain of machine learning and investigates their feasibility for the task of accurate thermal modeling on the example of a PMSM data set recorded on a test bench. Aside from the average estimation error, the required amount of model parameters as an approximation for the computational demand dictates design decisions throughout. The whole process of designing a machine learning model is illuminated and carried out for varying linear models; tree-based models; feed-forward, recurrent, and convolutional neural networks, as well as various hybrid gray-box modeling approaches. Moreover, a hybrid modeling paradigm with thermal neural networks is highlighted, which was first introduced by this work's author. Eventually, an expert-designed, data-driven lumped-parameter thermal network is optimized under different algorithms in order to put machine learning models to the test against the state of the art of thermal modeling."}],"_id":"58756","language":[{"iso":"eng"}],"publisher":"LibreCat University","user_id":"71353","doi":"10.17619/UNIPB/1-2068","author":[{"first_name":"Wilhelm","orcid":"0000-0001-9490-1843","last_name":"Kirchgässner","full_name":"Kirchgässner, Wilhelm","id":"49265"}],"status":"public","title":"Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning","year":"2024","date_updated":"2025-02-21T11:41:01Z"},{"year":"2024","status":"public","title":"Single-stage DC-DC converters for a wide input &amp; output voltage range","author":[{"first_name":"Philipp","last_name":"Rehlaender","full_name":"Rehlaender, Philipp","id":"69469"}],"date_updated":"2025-02-21T11:40:59Z","publisher":"LibreCat University","_id":"58757","language":[{"iso":"eng"}],"user_id":"71353","doi":"10.17619/UNIPB/1-2148","citation":{"ieee":"P. Rehlaender, <i>Single-stage DC-DC converters for a wide input &#38;amp; output voltage range</i>. LibreCat University, 2024.","apa":"Rehlaender, P. (2024). <i>Single-stage DC-DC converters for a wide input &#38;amp; output voltage range</i>. LibreCat University. <a href=\"https://doi.org/10.17619/UNIPB/1-2148\">https://doi.org/10.17619/UNIPB/1-2148</a>","mla":"Rehlaender, Philipp. <i>Single-Stage DC-DC Converters for a Wide Input &#38;amp; Output Voltage Range</i>. LibreCat University, 2024, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2148\">10.17619/UNIPB/1-2148</a>.","bibtex":"@book{Rehlaender_2024, title={Single-stage DC-DC converters for a wide input &#38;amp; output voltage range}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-2148\">10.17619/UNIPB/1-2148</a>}, publisher={LibreCat University}, author={Rehlaender, Philipp}, year={2024} }","chicago":"Rehlaender, Philipp. <i>Single-Stage DC-DC Converters for a Wide Input &#38;amp; Output Voltage Range</i>. LibreCat University, 2024. <a href=\"https://doi.org/10.17619/UNIPB/1-2148\">https://doi.org/10.17619/UNIPB/1-2148</a>.","short":"P. Rehlaender, Single-Stage DC-DC Converters for a Wide Input &#38;amp; Output Voltage Range, LibreCat University, 2024.","ama":"Rehlaender P. <i>Single-Stage DC-DC Converters for a Wide Input &#38;amp; Output Voltage Range</i>. LibreCat University; 2024. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2148\">10.17619/UNIPB/1-2148</a>"},"abstract":[{"lang":"eng","text":"On-bord DC-DC-Konverter sind das Bindeglied zwischen der Traktionsbatterie und der Hilfsbatterie und versorgen wichtige Komponenten des Elektrofahrzeugs. Diese Arbeit adressiert den weiten Spannungsbereich des Wandlers, der eine Folge der variierenden Spannungen der Batterien ist. Als potentielle Topologien werden der LLC Resonanzwandler, der aktiv geklemmte Flusswandler und der isolierte Vollbrücken-Konverter untersucht.Zunächst wird hierbei der LLC untersucht und verschiedene Modulationstechniken zur Abdeckung des weiten Spannungsbereichs gegenübergestellt, um zu zeigen, dass die Frequenzverdoppler-Modulation und die alternierende Phasenverschiebungsmodulation die maximale Temperatur der Halbleiter deutlich senken. Zum Wechsel zwischen Voll- und Halbbrückenmodulation wird eine Modulationstechnik vorgeschlagen, welche den transienten Magnetisierungsfluss um über 70 % respektive des konventionellen Konzept senkt. Für den aktiv geklemmten Flusswandler wird ein verbessertes Modell vorgestellt, das die Blockierspannung sehr genau modelliert. Zudem wird eine Snubber-Schaltung vorgeschlagen, welche die sekundärseitige transiente Blockierspannung deutlich reduziert. Für den isolierten Vollbrücken-Konverter werden hart- und weichschaltende Modulationstechniken analysiert und eine hartschaltende Frequenz-Verdoppler-Modulationstechnik vorgeschlagen, welche die maximale Schaltertemperatur deutlich reduziert und eine Modulationstechnik mit Beschaltung vorgestellt, um zwischen dem Voll- und Halbbrückenmodus zu wechseln. Die zuvor erarbeiteten Konverter werden unter Anwendung einer vorgestellten Designmethodik verglichen und messtechnisch evaluiert."},{"text":"On-board DC-DC converters are the connecting link between the traction battery and the auxiliary battery and supply energy to the crucial components of an electrical vehicle. This work addresses DC-DC converters of a wide conversion range necessary to cover the voltage-transfer ratio resulting from the varying state of charge of the traction and auxiliary battery and investigates three topologies for this application: the LLC resonant converter, the active-clamp forward converter and the isolated full-bridge converter. At first, the LLC resonant converter is analyzed and several operating modes are investigated and proposed to better cover the wide transfer ratio. The operating modes are benchmarked showing that the alternating-asymmetrical phase shift modulation and the frequency-doubler modulations can significantly reduce the MOSFET temperature. To switch from full-bridge mode to half-bridge mode, an improved morphing modulation is proposed that reduces the flux by about 70 % compared to the conventional concept. Finally, an integrated planar transformer is proposed to increase the power density of the LLC.The active-clamp forward converter is investigated to propose an accurate steady-state model. A snubber circuitry is presented to limit the voltage overshoot of the synchronous rectifier. The isolated full-bridge converter is investigated in its hard- and soft-switching operation. A hard-switched frequency-doubler modulation is proposed to reduce the maximum temperature significantly. Additionally, a steady-state model is derived to accurately calculate the current shape of the converter and a topology morphing concept is proposed to limit the blocking voltage of the secondary-side semiconductors during mode transition. Finally, a topology comparison and design methodology is proposed that enables a fair topology comparison. The three aforementioned topologies are experimentally evaluated.","lang":"eng"}],"date_created":"2025-02-21T11:40:18Z","type":"dissertation","department":[{"_id":"52"}]},{"user_id":"71353","doi":"10.17619/UNIPB/1-2064","language":[{"iso":"eng"}],"_id":"58682","date_updated":"2025-02-21T11:46:13Z","author":[{"id":"75779","last_name":"Brosch","orcid":"0000-0003-4871-1664","first_name":"Anian","full_name":"Brosch, Anian"}],"title":"Time-optimal control of synchronous machines in the whole modulation range considering current and torque constraints ","year":"2024","status":"public","department":[{"_id":"52"}],"type":"dissertation","date_created":"2025-02-18T09:10:37Z","citation":{"mla":"Brosch, Anian. <i>Time-Optimal Control of Synchronous Machines in the Whole Modulation Range Considering Current and Torque Constraints </i>. 2024, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2064\">10.17619/UNIPB/1-2064</a>.","apa":"Brosch, A. (2024). <i>Time-optimal control of synchronous machines in the whole modulation range considering current and torque constraints </i>. <a href=\"https://doi.org/10.17619/UNIPB/1-2064\">https://doi.org/10.17619/UNIPB/1-2064</a>","ieee":"A. Brosch, <i>Time-optimal control of synchronous machines in the whole modulation range considering current and torque constraints </i>. 2024.","short":"A. Brosch, Time-Optimal Control of Synchronous Machines in the Whole Modulation Range Considering Current and Torque Constraints , 2024.","ama":"Brosch A. <i>Time-Optimal Control of Synchronous Machines in the Whole Modulation Range Considering Current and Torque Constraints </i>.; 2024. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-2064\">10.17619/UNIPB/1-2064</a>","chicago":"Brosch, Anian. <i>Time-Optimal Control of Synchronous Machines in the Whole Modulation Range Considering Current and Torque Constraints </i>, 2024. <a href=\"https://doi.org/10.17619/UNIPB/1-2064\">https://doi.org/10.17619/UNIPB/1-2064</a>.","bibtex":"@book{Brosch_2024, title={Time-optimal control of synchronous machines in the whole modulation range considering current and torque constraints }, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-2064\">10.17619/UNIPB/1-2064</a>}, author={Brosch, Anian}, year={2024} }"}},{"publication_status":"published","date_updated":"2023-10-14T12:16:35Z","publication_identifier":{"issn":["2644-1284"]},"author":[{"full_name":"Winkel, Fabian","last_name":"Winkel","first_name":"Fabian"},{"id":"11291","last_name":"Wallscheid","first_name":"Oliver","orcid":"https://orcid.org/0000-0001-9362-8777","full_name":"Wallscheid, Oliver"},{"last_name":"Scholz","first_name":"Peter","full_name":"Scholz, Peter"},{"id":"66","last_name":"Böcker","orcid":"0000-0002-8480-7295","first_name":"Joachim","full_name":"Böcker, Joachim"}],"status":"public","year":"2023","title":"Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays","user_id":"66","doi":"10.1109/ojies.2023.3323870","language":[{"iso":"eng"}],"_id":"48059","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","page":"1-14","citation":{"short":"F. Winkel, O. Wallscheid, P. Scholz, J. Böcker, IEEE Open Journal of the Industrial Electronics Society (2023) 1–14.","chicago":"Winkel, Fabian, Oliver Wallscheid, Peter Scholz, and Joachim Böcker. “Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays.” <i>IEEE Open Journal of the Industrial Electronics Society</i>, 2023, 1–14. <a href=\"https://doi.org/10.1109/ojies.2023.3323870\">https://doi.org/10.1109/ojies.2023.3323870</a>.","ieee":"F. Winkel, O. Wallscheid, P. Scholz, and J. Böcker, “Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays,” <i>IEEE Open Journal of the Industrial Electronics Society</i>, pp. 1–14, 2023, doi: <a href=\"https://doi.org/10.1109/ojies.2023.3323870\">10.1109/ojies.2023.3323870</a>.","apa":"Winkel, F., Wallscheid, O., Scholz, P., &#38; Böcker, J. (2023). Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays. <i>IEEE Open Journal of the Industrial Electronics Society</i>, 1–14. <a href=\"https://doi.org/10.1109/ojies.2023.3323870\">https://doi.org/10.1109/ojies.2023.3323870</a>","bibtex":"@article{Winkel_Wallscheid_Scholz_Böcker_2023, title={Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays}, DOI={<a href=\"https://doi.org/10.1109/ojies.2023.3323870\">10.1109/ojies.2023.3323870</a>}, journal={IEEE Open Journal of the Industrial Electronics Society}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Winkel, Fabian and Wallscheid, Oliver and Scholz, Peter and Böcker, Joachim}, year={2023}, pages={1–14} }","ama":"Winkel F, Wallscheid O, Scholz P, Böcker J. Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays. <i>IEEE Open Journal of the Industrial Electronics Society</i>. Published online 2023:1-14. doi:<a href=\"https://doi.org/10.1109/ojies.2023.3323870\">10.1109/ojies.2023.3323870</a>","mla":"Winkel, Fabian, et al. “Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays.” <i>IEEE Open Journal of the Industrial Electronics Society</i>, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–14, doi:<a href=\"https://doi.org/10.1109/ojies.2023.3323870\">10.1109/ojies.2023.3323870</a>."},"publication":"IEEE Open Journal of the Industrial Electronics Society","department":[{"_id":"52"}],"keyword":["Electrical and Electronic Engineering","Industrial and Manufacturing Engineering","Control and Systems Engineering"],"type":"journal_article","date_created":"2023-10-14T12:03:38Z"},{"department":[{"_id":"52"}],"keyword":["Electrical and Electronic Engineering","Safety","Risk","Reliability and Quality"],"type":"journal_article","date_created":"2023-10-14T12:01:41Z","citation":{"ama":"Winkel F, Deuse-Kleinsteuber J, Böcker J. Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning. <i>IEEE Transactions on Reliability</i>. Published online 2023:1-14. doi:<a href=\"https://doi.org/10.1109/tr.2023.3255786\">10.1109/tr.2023.3255786</a>","bibtex":"@article{Winkel_Deuse-Kleinsteuber_Böcker_2023, title={Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning}, DOI={<a href=\"https://doi.org/10.1109/tr.2023.3255786\">10.1109/tr.2023.3255786</a>}, journal={IEEE Transactions on Reliability}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Winkel, Fabian and Deuse-Kleinsteuber, Johannes and Böcker, Joachim}, year={2023}, pages={1–14} }","mla":"Winkel, Fabian, et al. “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning.” <i>IEEE Transactions on Reliability</i>, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–14, doi:<a href=\"https://doi.org/10.1109/tr.2023.3255786\">10.1109/tr.2023.3255786</a>.","chicago":"Winkel, Fabian, Johannes Deuse-Kleinsteuber, and Joachim Böcker. “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning.” <i>IEEE Transactions on Reliability</i>, 2023, 1–14. <a href=\"https://doi.org/10.1109/tr.2023.3255786\">https://doi.org/10.1109/tr.2023.3255786</a>.","short":"F. Winkel, J. Deuse-Kleinsteuber, J. Böcker, IEEE Transactions on Reliability (2023) 1–14.","apa":"Winkel, F., Deuse-Kleinsteuber, J., &#38; Böcker, J. (2023). Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning. <i>IEEE Transactions on Reliability</i>, 1–14. <a href=\"https://doi.org/10.1109/tr.2023.3255786\">https://doi.org/10.1109/tr.2023.3255786</a>","ieee":"F. Winkel, J. Deuse-Kleinsteuber, and J. Böcker, “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning,” <i>IEEE Transactions on Reliability</i>, pp. 1–14, 2023, doi: <a href=\"https://doi.org/10.1109/tr.2023.3255786\">10.1109/tr.2023.3255786</a>."},"publication":"IEEE Transactions on Reliability","user_id":"66","doi":"10.1109/tr.2023.3255786","language":[{"iso":"eng"}],"_id":"48058","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","page":"1-14","publication_status":"published","date_updated":"2023-10-14T12:16:48Z","author":[{"full_name":"Winkel, Fabian","last_name":"Winkel","first_name":"Fabian"},{"first_name":"Johannes","last_name":"Deuse-Kleinsteuber","full_name":"Deuse-Kleinsteuber, Johannes"},{"first_name":"Joachim","orcid":"0000-0002-8480-7295","last_name":"Böcker","full_name":"Böcker, Joachim","id":"66"}],"publication_identifier":{"issn":["0018-9529","1558-1721"]},"year":"2023","status":"public","title":"Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning"},{"date_created":"2023-10-20T07:13:32Z","department":[{"_id":"52"}],"keyword":["Cascaded H-Bridge","Solid-State Transformer","Capacitor voltage ripple","Zero sequence voltage","Third harmonic injection"],"type":"conference","publication":"2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)","abstract":[{"lang":"eng","text":"Star-connected cascaded H-bridge Converters require large DC-link capacitors to buffer the second-order harmonic voltage ripple. First, it is analytically proven that the DC-link voltage ripple is proportional to the apparent converter power and does not depend on the power factor for nominal operation with sinusoidal reference arm voltages and currents. A third-harmonic zero-sequence voltage injection with an optimal amplitude and phase angle transforms the 2nd harmonic to a 4th harmonic DC-link voltage ripple. This reduces the voltage ripple by exactly 50% for all power factors at steady-state at balanced conditions. However, this requires 54% additional modules for unity power factor operation and even 100% for pure reactive power operation to account for the increased reference arm voltages due to the large amplitude of the optimal third-harmonic injection. If not enough modules are available, an adaptive discontinuous PWM is utilized to still minimize the voltage ripple for the given number of modules and power factor. With a very limited number of modules (modulation index is 1.15), the proposed method still reduces the DC-link voltage ripple by 24.4% for unity power factor operation. It requires the same number of modules as the commonly utilized 3rd harmonic injection with 1/6 of the grid voltage amplitude and achieves superior results. Simulations of a 10 kV/1 MVA system confirm the analysis."}],"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://ieeexplore.ieee.org/abstract/document/10264313"}],"doi":"10.23919/epe23ecceeurope58414.2023.10264313","publication_identifier":{"isbn":["979-8-3503-1678-0"]},"author":[{"full_name":"Unruh, Roland","last_name":"Unruh","first_name":"Roland","id":"34289"},{"orcid":"0000-0002-8480-7295","first_name":"Joachim","last_name":"Böcker","full_name":"Böcker, Joachim","id":"66"},{"id":"71291","full_name":"Schafmeister, Frank","last_name":"Schafmeister","first_name":"Frank"}],"title":"An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for all Power Factors","year":"2023","date_updated":"2023-10-20T10:01:02Z","publication_status":"published","citation":{"ama":"Unruh R, Böcker J, Schafmeister F. An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for all Power Factors. In: <i>2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe)</i>. IEEE; 2023. doi:<a href=\"https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313\">10.23919/epe23ecceeurope58414.2023.10264313</a>","short":"R. Unruh, J. Böcker, F. Schafmeister, in: 2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe), IEEE, 2023.","chicago":"Unruh, Roland, Joachim Böcker, and Frank Schafmeister. “An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for All Power Factors.” In <i>2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe)</i>. IEEE, 2023. <a href=\"https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313\">https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313</a>.","bibtex":"@inproceedings{Unruh_Böcker_Schafmeister_2023, title={An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for all Power Factors}, DOI={<a href=\"https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313\">10.23919/epe23ecceeurope58414.2023.10264313</a>}, booktitle={2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe)}, publisher={IEEE}, author={Unruh, Roland and Böcker, Joachim and Schafmeister, Frank}, year={2023} }","mla":"Unruh, Roland, et al. “An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for All Power Factors.” <i>2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe)</i>, IEEE, 2023, doi:<a href=\"https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313\">10.23919/epe23ecceeurope58414.2023.10264313</a>.","apa":"Unruh, R., Böcker, J., &#38; Schafmeister, F. (2023). An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for all Power Factors. <i>2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe)</i>. 2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe), Aalborg, Denmark. <a href=\"https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313\">https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313</a>","ieee":"R. Unruh, J. Böcker, and F. Schafmeister, “An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for all Power Factors,” presented at the 2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe), Aalborg, Denmark, 2023, doi: <a href=\"https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313\">10.23919/epe23ecceeurope58414.2023.10264313</a>."},"quality_controlled":"1","_id":"48352","publisher":"IEEE","user_id":"34289","conference":{"location":"Aalborg, Denmark","start_date":"2023-09-04","name":"2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)","end_date":"2023-09-08"},"status":"public"},{"type":"conference","department":[{"_id":"52"}],"date_created":"2023-10-16T12:29:32Z","publication":"2023 IEEE International Electric Machines and Drives Conference (IEMDC)","citation":{"ieee":"M. Pena, M. Meyer, O. Wallscheid, and J. Böcker, “Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control,” presented at the 2023 IEEE International Electric Machines and Drives Conference (IEMDC), San Francisco, 2023, doi: <a href=\"https://doi.org/10.1109/iemdc55163.2023.10239056\">10.1109/iemdc55163.2023.10239056</a>.","apa":"Pena, M., Meyer, M., Wallscheid, O., &#38; Böcker, J. (2023). Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control. <i>2023 IEEE International Electric Machines and Drives Conference (IEMDC)</i>. 2023 IEEE International Electric Machines and Drives Conference (IEMDC), San Francisco. <a href=\"https://doi.org/10.1109/iemdc55163.2023.10239056\">https://doi.org/10.1109/iemdc55163.2023.10239056</a>","short":"M. Pena, M. Meyer, O. Wallscheid, J. Böcker, in: 2023 IEEE International Electric Machines and Drives Conference (IEMDC), IEEE, 2023.","chicago":"Pena, Mario, Michael Meyer, Oliver Wallscheid, and Joachim Böcker. “Fade-Over Strategy for Use of Model Predictive Direct Self-Control with Field-Oriented Control.” In <i>2023 IEEE International Electric Machines and Drives Conference (IEMDC)</i>. IEEE, 2023. <a href=\"https://doi.org/10.1109/iemdc55163.2023.10239056\">https://doi.org/10.1109/iemdc55163.2023.10239056</a>.","mla":"Pena, Mario, et al. “Fade-Over Strategy for Use of Model Predictive Direct Self-Control with Field-Oriented Control.” <i>2023 IEEE International Electric Machines and Drives Conference (IEMDC)</i>, IEEE, 2023, doi:<a href=\"https://doi.org/10.1109/iemdc55163.2023.10239056\">10.1109/iemdc55163.2023.10239056</a>.","bibtex":"@inproceedings{Pena_Meyer_Wallscheid_Böcker_2023, title={Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control}, DOI={<a href=\"https://doi.org/10.1109/iemdc55163.2023.10239056\">10.1109/iemdc55163.2023.10239056</a>}, booktitle={2023 IEEE International Electric Machines and Drives Conference (IEMDC)}, publisher={IEEE}, author={Pena, Mario and Meyer, Michael and Wallscheid, Oliver and Böcker, Joachim}, year={2023} }","ama":"Pena M, Meyer M, Wallscheid O, Böcker J. Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control. In: <i>2023 IEEE International Electric Machines and Drives Conference (IEMDC)</i>. IEEE; 2023. doi:<a href=\"https://doi.org/10.1109/iemdc55163.2023.10239056\">10.1109/iemdc55163.2023.10239056</a>"},"doi":"10.1109/iemdc55163.2023.10239056","user_id":"66","_id":"48093","language":[{"iso":"eng"}],"publisher":"IEEE","date_updated":"2023-10-20T11:28:44Z","publication_status":"published","title":"Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control","year":"2023","status":"public","conference":{"name":"2023 IEEE International Electric Machines and Drives Conference (IEMDC)","start_date":"2023-05-15","location":"San Francisco","end_date":"2023-05-18"},"author":[{"id":"82862","full_name":"Pena, Mario","orcid":"0000-0001-5381-3660","first_name":"Mario","last_name":"Pena"},{"full_name":"Meyer, Michael","first_name":"Michael","last_name":"Meyer"},{"id":"11291","full_name":"Wallscheid, Oliver","first_name":"Oliver","last_name":"Wallscheid","orcid":"https://orcid.org/0000-0001-9362-8777"},{"first_name":"Joachim","last_name":"Böcker","orcid":"0000-0002-8480-7295","full_name":"Böcker, Joachim","id":"66"}]},{"citation":{"chicago":"Pena, Mario, Michael Meyer, Oliver Wallscheid, and Joachim Böcker. “Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines.” <i>IEEE Transactions on Power Electronics</i> 38, no. 10 (2023): 12416–29. <a href=\"https://doi.org/10.1109/tpel.2023.3286713\">https://doi.org/10.1109/tpel.2023.3286713</a>.","short":"M. Pena, M. Meyer, O. Wallscheid, J. Böcker, IEEE Transactions on Power Electronics 38 (2023) 12416–12429.","ieee":"M. Pena, M. Meyer, O. Wallscheid, and J. Böcker, “Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines,” <i>IEEE Transactions on Power Electronics</i>, vol. 38, no. 10, pp. 12416–12429, 2023, doi: <a href=\"https://doi.org/10.1109/tpel.2023.3286713\">10.1109/tpel.2023.3286713</a>.","apa":"Pena, M., Meyer, M., Wallscheid, O., &#38; Böcker, J. (2023). Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines. <i>IEEE Transactions on Power Electronics</i>, <i>38</i>(10), 12416–12429. <a href=\"https://doi.org/10.1109/tpel.2023.3286713\">https://doi.org/10.1109/tpel.2023.3286713</a>","bibtex":"@article{Pena_Meyer_Wallscheid_Böcker_2023, title={Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines}, volume={38}, DOI={<a href=\"https://doi.org/10.1109/tpel.2023.3286713\">10.1109/tpel.2023.3286713</a>}, number={10}, journal={IEEE Transactions on Power Electronics}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Pena, Mario and Meyer, Michael and Wallscheid, Oliver and Böcker, Joachim}, year={2023}, pages={12416–12429} }","ama":"Pena M, Meyer M, Wallscheid O, Böcker J. Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines. <i>IEEE Transactions on Power Electronics</i>. 2023;38(10):12416-12429. doi:<a href=\"https://doi.org/10.1109/tpel.2023.3286713\">10.1109/tpel.2023.3286713</a>","mla":"Pena, Mario, et al. “Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines.” <i>IEEE Transactions on Power Electronics</i>, vol. 38, no. 10, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 12416–29, doi:<a href=\"https://doi.org/10.1109/tpel.2023.3286713\">10.1109/tpel.2023.3286713</a>."},"status":"public","page":"12416-12429","_id":"48092","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","user_id":"82862","volume":38,"issue":"10","publication":"IEEE Transactions on Power Electronics","date_created":"2023-10-16T12:29:20Z","type":"journal_article","keyword":["Electrical and Electronic Engineering"],"department":[{"_id":"52"}],"title":"Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines","year":"2023","author":[{"id":"82862","full_name":"Pena, Mario","last_name":"Pena","orcid":"0000-0001-5381-3660","first_name":"Mario"},{"first_name":"Michael","last_name":"Meyer","full_name":"Meyer, Michael"},{"id":"11291","last_name":"Wallscheid","orcid":"https://orcid.org/0000-0001-9362-8777","first_name":"Oliver","full_name":"Wallscheid, Oliver"},{"last_name":"Böcker","orcid":"0000-0002-8480-7295","first_name":"Joachim","full_name":"Böcker, Joachim","id":"66"}],"publication_identifier":{"issn":["0885-8993","1941-0107"]},"publication_status":"published","date_updated":"2023-10-18T10:39:07Z","intvolume":"        38","language":[{"iso":"eng"}],"doi":"10.1109/tpel.2023.3286713"},{"publication_status":"published","date_updated":"2023-12-18T09:55:19Z","intvolume":"        38","year":"2023","title":"Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes","publication_identifier":{"issn":["0885-8993","1941-0107"]},"author":[{"full_name":"Jakobeit, Darius","last_name":"Jakobeit","first_name":"Darius"},{"full_name":"Schenke, Maximilian","last_name":"Schenke","first_name":"Maximilian"},{"last_name":"Wallscheid","first_name":"Oliver","full_name":"Wallscheid, Oliver"}],"doi":"10.1109/tpel.2023.3256424","language":[{"iso":"eng"}],"issue":"7","publication":"IEEE Transactions on Power Electronics","type":"journal_article","keyword":["Electrical and Electronic Engineering"],"department":[{"_id":"52"}],"date_created":"2023-12-18T09:54:18Z","status":"public","user_id":"52638","volume":38,"page":"8062-8074","_id":"49760","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","citation":{"apa":"Jakobeit, D., Schenke, M., &#38; Wallscheid, O. (2023). Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes. <i>IEEE Transactions on Power Electronics</i>, <i>38</i>(7), 8062–8074. <a href=\"https://doi.org/10.1109/tpel.2023.3256424\">https://doi.org/10.1109/tpel.2023.3256424</a>","mla":"Jakobeit, Darius, et al. “Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes.” <i>IEEE Transactions on Power Electronics</i>, vol. 38, no. 7, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 8062–74, doi:<a href=\"https://doi.org/10.1109/tpel.2023.3256424\">10.1109/tpel.2023.3256424</a>.","ieee":"D. Jakobeit, M. Schenke, and O. Wallscheid, “Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes,” <i>IEEE Transactions on Power Electronics</i>, vol. 38, no. 7, pp. 8062–8074, 2023, doi: <a href=\"https://doi.org/10.1109/tpel.2023.3256424\">10.1109/tpel.2023.3256424</a>.","chicago":"Jakobeit, Darius, Maximilian Schenke, and Oliver Wallscheid. “Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes.” <i>IEEE Transactions on Power Electronics</i> 38, no. 7 (2023): 8062–74. <a href=\"https://doi.org/10.1109/tpel.2023.3256424\">https://doi.org/10.1109/tpel.2023.3256424</a>.","short":"D. Jakobeit, M. Schenke, O. Wallscheid, IEEE Transactions on Power Electronics 38 (2023) 8062–8074.","ama":"Jakobeit D, Schenke M, Wallscheid O. Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes. <i>IEEE Transactions on Power Electronics</i>. 2023;38(7):8062-8074. doi:<a href=\"https://doi.org/10.1109/tpel.2023.3256424\">10.1109/tpel.2023.3256424</a>","bibtex":"@article{Jakobeit_Schenke_Wallscheid_2023, title={Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes}, volume={38}, DOI={<a href=\"https://doi.org/10.1109/tpel.2023.3256424\">10.1109/tpel.2023.3256424</a>}, number={7}, journal={IEEE Transactions on Power Electronics}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Jakobeit, Darius and Schenke, Maximilian and Wallscheid, Oliver}, year={2023}, pages={8062–8074} }"}},{"year":"2023","title":"Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control","status":"public","author":[{"id":"77572","first_name":"Emebet Gebeyehu","last_name":"Gedlu","full_name":"Gedlu, Emebet Gebeyehu"},{"id":"11291","full_name":"Wallscheid, Oliver","orcid":"https://orcid.org/0000-0001-9362-8777","last_name":"Wallscheid","first_name":"Oliver"},{"id":"66","first_name":"Joachim","last_name":"Böcker","orcid":"0000-0002-8480-7295","full_name":"Böcker, Joachim"},{"full_name":"Nelles, Oliver","first_name":"Oliver","last_name":"Nelles"}],"publication_status":"published","date_updated":"2024-04-06T14:00:07Z","_id":"53310","publisher":"IEEE","language":[{"iso":"eng"}],"user_id":"66","doi":"10.1109/sdemped54949.2023.10271427","publication":"2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","citation":{"mla":"Gedlu, Emebet Gebeyehu, et al. “Online System Identification and Excitation for Thermal Monitoring of Electric Machines Using Machine Learning and Model Predictive Control.” <i>2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)</i>, IEEE, 2023, doi:<a href=\"https://doi.org/10.1109/sdemped54949.2023.10271427\">10.1109/sdemped54949.2023.10271427</a>.","bibtex":"@inproceedings{Gedlu_Wallscheid_Böcker_Nelles_2023, title={Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control}, DOI={<a href=\"https://doi.org/10.1109/sdemped54949.2023.10271427\">10.1109/sdemped54949.2023.10271427</a>}, booktitle={2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)}, publisher={IEEE}, author={Gedlu, Emebet Gebeyehu and Wallscheid, Oliver and Böcker, Joachim and Nelles, Oliver}, year={2023} }","ama":"Gedlu EG, Wallscheid O, Böcker J, Nelles O. Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control. In: <i>2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)</i>. IEEE; 2023. doi:<a href=\"https://doi.org/10.1109/sdemped54949.2023.10271427\">10.1109/sdemped54949.2023.10271427</a>","ieee":"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: <a href=\"https://doi.org/10.1109/sdemped54949.2023.10271427\">10.1109/sdemped54949.2023.10271427</a>.","apa":"Gedlu, E. G., Wallscheid, O., Böcker, J., &#38; Nelles, O. (2023). Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control. <i>2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)</i>. <a href=\"https://doi.org/10.1109/sdemped54949.2023.10271427\">https://doi.org/10.1109/sdemped54949.2023.10271427</a>","chicago":"Gedlu, Emebet Gebeyehu, Oliver Wallscheid, Joachim Böcker, and Oliver Nelles. “Online System Identification and Excitation for Thermal Monitoring of Electric Machines Using Machine Learning and Model Predictive Control.” In <i>2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)</i>. IEEE, 2023. <a href=\"https://doi.org/10.1109/sdemped54949.2023.10271427\">https://doi.org/10.1109/sdemped54949.2023.10271427</a>.","short":"E.G. Gedlu, O. Wallscheid, J. Böcker, O. Nelles, in: 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), IEEE, 2023."},"date_created":"2024-04-06T13:55:29Z","type":"conference","department":[{"_id":"52"}]}]