[{"title":"Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning","status":"public","year":"2024","author":[{"orcid":"0000-0001-9490-1843","last_name":"Kirchgässner","first_name":"Wilhelm","full_name":"Kirchgässner, Wilhelm","id":"49265"}],"date_updated":"2025-02-21T11:41:01Z","publisher":"LibreCat University","_id":"58756","language":[{"iso":"eng"}],"user_id":"71353","doi":"10.17619/UNIPB/1-2068","citation":{"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>.","ieee":"W. Kirchgässner, <i>Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning</i>. 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>","short":"W. Kirchgässner, Data-Driven Thermal Modeling of a Permanent Magnet Synchronous Motor with Machine Learning, LibreCat University, 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>.","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} }"},"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."}],"date_created":"2025-02-21T11:38:22Z","type":"dissertation","department":[{"_id":"52"}]},{"date_created":"2025-02-21T11:40:18Z","type":"dissertation","department":[{"_id":"52"}],"citation":{"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>.","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>","ieee":"P. Rehlaender, <i>Single-stage DC-DC converters for a wide input &#38;amp; output voltage range</i>. LibreCat University, 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>.","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>","short":"P. Rehlaender, Single-Stage DC-DC Converters for a Wide Input &#38;amp; Output Voltage Range, LibreCat University, 2024.","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} }"},"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"}],"_id":"58757","language":[{"iso":"eng"}],"publisher":"LibreCat University","doi":"10.17619/UNIPB/1-2148","user_id":"71353","status":"public","year":"2024","title":"Single-stage DC-DC converters for a wide input &amp; output voltage range","author":[{"id":"69469","first_name":"Philipp","last_name":"Rehlaender","full_name":"Rehlaender, Philipp"}],"date_updated":"2025-02-21T11:40:59Z"},{"doi":"10.17619/UNIPB/1-2064","user_id":"71353","_id":"58682","language":[{"iso":"eng"}],"date_updated":"2025-02-21T11:46:13Z","title":"Time-optimal control of synchronous machines in the whole modulation range considering current and torque constraints ","year":"2024","status":"public","author":[{"last_name":"Brosch","orcid":"0000-0003-4871-1664","first_name":"Anian","full_name":"Brosch, Anian","id":"75779"}],"type":"dissertation","department":[{"_id":"52"}],"date_created":"2025-02-18T09:10:37Z","citation":{"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>","short":"A. Brosch, Time-Optimal Control of Synchronous Machines in the Whole Modulation Range Considering Current and Torque Constraints , 2024.","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} }","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."}},{"doi":"10.1109/ojies.2023.3323870","user_id":"66","page":"1-14","language":[{"iso":"eng"}],"_id":"48059","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","date_updated":"2023-10-14T12:16:35Z","publication_status":"published","year":"2023","status":"public","title":"Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays","author":[{"full_name":"Winkel, Fabian","first_name":"Fabian","last_name":"Winkel"},{"last_name":"Wallscheid","first_name":"Oliver","orcid":"https://orcid.org/0000-0001-9362-8777","full_name":"Wallscheid, Oliver","id":"11291"},{"full_name":"Scholz, Peter","first_name":"Peter","last_name":"Scholz"},{"id":"66","orcid":"0000-0002-8480-7295","last_name":"Böcker","first_name":"Joachim","full_name":"Böcker, Joachim"}],"publication_identifier":{"issn":["2644-1284"]},"type":"journal_article","keyword":["Electrical and Electronic Engineering","Industrial and Manufacturing Engineering","Control and Systems Engineering"],"department":[{"_id":"52"}],"date_created":"2023-10-14T12:03:38Z","publication":"IEEE Open Journal of the Industrial Electronics Society","citation":{"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>","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>.","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>.","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>.","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>","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} }"}},{"title":"Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning","year":"2023","status":"public","author":[{"first_name":"Fabian","last_name":"Winkel","full_name":"Winkel, Fabian"},{"first_name":"Johannes","last_name":"Deuse-Kleinsteuber","full_name":"Deuse-Kleinsteuber, Johannes"},{"id":"66","last_name":"Böcker","orcid":"0000-0002-8480-7295","first_name":"Joachim","full_name":"Böcker, Joachim"}],"publication_identifier":{"issn":["0018-9529","1558-1721"]},"date_updated":"2023-10-14T12:16:48Z","publication_status":"published","page":"1-14","_id":"48058","language":[{"iso":"eng"}],"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","doi":"10.1109/tr.2023.3255786","user_id":"66","publication":"IEEE Transactions on Reliability","citation":{"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>.","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} }","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>","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>.","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>","short":"F. Winkel, J. Deuse-Kleinsteuber, J. Böcker, IEEE Transactions on Reliability (2023) 1–14.","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>."},"date_created":"2023-10-14T12:01:41Z","keyword":["Electrical and Electronic Engineering","Safety","Risk","Reliability and Quality"],"type":"journal_article","department":[{"_id":"52"}]},{"status":"public","conference":{"end_date":"2023-09-08","location":"Aalborg, Denmark","start_date":"2023-09-04","name":"2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)"},"user_id":"34289","_id":"48352","publisher":"IEEE","quality_controlled":"1","citation":{"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>.","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>.","short":"R. Unruh, J. Böcker, F. Schafmeister, in: 2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe), IEEE, 2023.","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>","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} }"},"publication_status":"published","date_updated":"2023-10-20T10:01:02Z","year":"2023","title":"An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for all Power Factors","publication_identifier":{"isbn":["979-8-3503-1678-0"]},"author":[{"full_name":"Unruh, Roland","last_name":"Unruh","first_name":"Roland","id":"34289"},{"id":"66","last_name":"Böcker","orcid":"0000-0002-8480-7295","first_name":"Joachim","full_name":"Böcker, Joachim"},{"id":"71291","full_name":"Schafmeister, Frank","last_name":"Schafmeister","first_name":"Frank"}],"doi":"10.23919/epe23ecceeurope58414.2023.10264313","main_file_link":[{"url":"https://ieeexplore.ieee.org/abstract/document/10264313"}],"language":[{"iso":"eng"}],"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."}],"publication":"2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)","keyword":["Cascaded H-Bridge","Solid-State Transformer","Capacitor voltage ripple","Zero sequence voltage","Third harmonic injection"],"type":"conference","department":[{"_id":"52"}],"date_created":"2023-10-20T07:13:32Z"},{"publication":"2023 IEEE International Electric Machines and Drives Conference (IEMDC)","citation":{"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>.","short":"M. Pena, M. Meyer, O. Wallscheid, J. Böcker, in: 2023 IEEE International Electric Machines and Drives Conference (IEMDC), IEEE, 2023.","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). 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ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids. <i>Journal of Open Source Software</i>. 2023;8(89). doi:<a href=\"https://doi.org/10.21105/joss.05616\">10.21105/joss.05616</a>","bibtex":"@article{Wallscheid_Peitz_Stenner_Weber_Boshoff_Meyer_Chidananda_Schweins_2023, title={ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids}, volume={8}, DOI={<a href=\"https://doi.org/10.21105/joss.05616\">10.21105/joss.05616</a>}, number={895616}, journal={Journal of Open Source Software}, publisher={The Open Journal}, author={Wallscheid, Oliver and Peitz, Sebastian and Stenner, Jan and Weber, Daniel and Boshoff, Septimus and Meyer, Marvin and Chidananda, Vikas and Schweins, Oliver}, year={2023} }","mla":"Wallscheid, Oliver, et al. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric Energy Grids.” <i>Journal of Open Source Software</i>, vol. 8, no. 89, 5616, The Open Journal, 2023, doi:<a href=\"https://doi.org/10.21105/joss.05616\">10.21105/joss.05616</a>."},"_id":"46784","publisher":"The Open Journal","volume":8,"user_id":"47427","status":"public","date_created":"2023-09-04T11:05:03Z","department":[{"_id":"655"},{"_id":"52"}],"keyword":["General Earth and Planetary Sciences","General Environmental Science"],"type":"journal_article","publication":"Journal of Open Source Software","issue":"89","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://joss.theoj.org/papers/10.21105/joss.05616","open_access":"1"}],"article_number":"5616","doi":"10.21105/joss.05616","publication_identifier":{"issn":["2475-9066"]},"author":[{"full_name":"Wallscheid, Oliver","orcid":"https://orcid.org/0000-0001-9362-8777","first_name":"Oliver","last_name":"Wallscheid","id":"11291"},{"full_name":"Peitz, Sebastian","orcid":"0000-0002-3389-793X","last_name":"Peitz","first_name":"Sebastian","id":"47427"},{"id":"65520","full_name":"Stenner, Jan","first_name":"Jan","last_name":"Stenner"},{"id":"24041","last_name":"Weber","first_name":"Daniel","orcid":"0000-0003-3367-5998","full_name":"Weber, Daniel"},{"first_name":"Septimus","last_name":"Boshoff","full_name":"Boshoff, Septimus"},{"last_name":"Meyer","first_name":"Marvin","full_name":"Meyer, Marvin"},{"full_name":"Chidananda, Vikas","last_name":"Chidananda","first_name":"Vikas"},{"first_name":"Oliver","last_name":"Schweins","full_name":"Schweins, Oliver"}],"title":"ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids","year":"2023","intvolume":"         8","date_updated":"2023-09-04T11:06:06Z","publication_status":"published"}]