@inproceedings{29871,
  abstract     = {{LLC resonant converters typically employ power
MOSFETs in their inverter stage. The generally weak reverse
recovery behaviour of the intrinsic body diodes of those
MOSFETs causes significant turn-on losses when being forced
to hard commutations. Continuous operation in this way will
lead to self-destruction of the transistors. Consequently,
zero-voltage switching (ZVS) is essential in a MOSFET-based
inverter stage. To ensure ZVS, the LLC converter is operated in
the inductive region. On the contrary, IGBTs show dominant
turn-off losses and are therefore conventionally not applied in
LLC converters typically requiring high switching frequencies
to achieve low output voltages. However, if the LLC converter
is intentionally designed for capacitive operation, zero-current
switching (ZCS) is enabled and thus robust and cost-efficient
IGBTs can be applied in the inverter stage. The aim of this work
is to investigate the use IGBTs in the inverter of an LLC
converter. The theory behind the capacitive operated LLC is
derived using a switched simulation model and compared with
the fundamental harmonic approximation (FHA). The results
prove FHA to be useless for practical converter design. Instead,
a stress value analysis based on switched model simulations is
proposed to the design a capacitive operated LLC utilizing ZCS.
A 2 kW prototype for on-board EV applications was built to
verify the theory and design approach. The prototype confirms
the derived theory and thus the deployment of IGBTs in the
inverter stage of LLC resonant converters. Synchronous
rectification turns out to require a specific control solution, but
if given the resulting efficiency in the most critical operation
point exceeds the value of a MOSFET-based (inductive
operated) LLC-design of an identical application. Therefore,
this concept should be further developed.}},
  author       = {{Urbaneck, Daniel and Rehlaender, Philipp and Böcker, Joachim and Schafmeister, Frank}},
  booktitle    = {{2021 IEEE Applied Power Electronics Conference and Exposition (APEC)}},
  location     = {{Arizona}},
  title        = {{{LLC Converter in Capacitive Operation Utilizing ZCS for IGBTs – Theory, Concept and Verification of a 2 kW DC-DC Converter for EVs}}},
  year         = {{2021}},
}

@article{30030,
  author       = {{Stender, Marius and Wallscheid, Oliver and Böcker, Joachim}},
  issn         = {{0885-8993}},
  journal      = {{IEEE Transactions on Power Electronics}},
  keywords     = {{Electrical and Electronic Engineering}},
  number       = {{11}},
  pages        = {{13261--13274}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer}}},
  doi          = {{10.1109/tpel.2021.3080129}},
  volume       = {{36}},
  year         = {{2021}},
}

@inproceedings{30031,
  author       = {{Stender, Marius and Wallscheid, Oliver and Böcker, Joachim}},
  booktitle    = {{2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)}},
  publisher    = {{IEEE}},
  title        = {{{Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach}}},
  doi          = {{10.1109/pemc48073.2021.9432615}},
  year         = {{2021}},
}

@inproceedings{30029,
  author       = {{Stender, Marius and Wallscheid, Oliver and Böcker, Joachim}},
  booktitle    = {{IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society}},
  publisher    = {{IEEE}},
  title        = {{{Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor}}},
  doi          = {{10.1109/iecon48115.2021.9589225}},
  year         = {{2021}},
}

@inproceedings{30032,
  author       = {{Stender, Marius and Wallscheid, Oliver and Böcker, Joachim}},
  booktitle    = {{2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)}},
  publisher    = {{IEEE}},
  title        = {{{Gray-Box Loss Model for Induction Motor Drives}}},
  doi          = {{10.1109/pemc48073.2021.9432491}},
  year         = {{2021}},
}

@inproceedings{29665,
  author       = {{Hanke, Sören and Wallscheid, Oliver and Böcker, Joachim}},
  publisher    = {{IET Digital Library}},
  title        = {{{Comparison of Artificial Neural Network and Least Squares Prediction Models for Finite-Control-Set Model Predictive Control of a Permanent Magnet Synchronous Motor}}},
  doi          = {{10.1049%2Ficp.2021.1122}},
  year         = {{2021}},
}

@article{29664,
  author       = {{Wallscheid, Oliver}},
  journal      = {{IEEE Open Journal of Industry Applications}},
  publisher    = {{IEEE}},
  title        = {{{Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges}}},
  year         = {{2021}},
}

@article{21251,
  author       = {{Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim}},
  issn         = {{0885-8969}},
  journal      = {{IEEE Transactions on Energy Conversion}},
  number       = {{3}},
  pages        = {{2059 -- 2067}},
  title        = {{{Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning: A Benchmark}}},
  doi          = {{10.1109/tec.2021.3052546}},
  volume       = {{36}},
  year         = {{2021}},
}

@article{21254,
  author       = {{Balakrishna, Praneeth and Book, Gerrit and Kirchgässner, Wilhelm and Schenke, Maximilian and Traue, Arne and Wallscheid, Oliver}},
  issn         = {{2475-9066}},
  journal      = {{Journal of Open Source Software}},
  title        = {{{gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems}}},
  doi          = {{10.21105/joss.02498}},
  year         = {{2021}},
}

@article{25031,
  author       = {{Schenke, Maximilian and Wallscheid, Oliver}},
  issn         = {{2644-1284}},
  journal      = {{IEEE Open Journal of the Industrial Electronics Society}},
  pages        = {{388--400}},
  title        = {{{A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors}}},
  doi          = {{10.1109/ojies.2021.3075521}},
  year         = {{2021}},
}

@article{29662,
  author       = {{Schenke, Maximilian and Wallscheid, Oliver}},
  journal      = {{arXiv preprint arXiv:2105.08990}},
  title        = {{{Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning}}},
  year         = {{2021}},
}

@article{21557,
  author       = {{Brosch, Anian and Wallscheid, Oliver and Böcker, Joachim}},
  issn         = {{1551-3203}},
  journal      = {{IEEE Transactions on Industrial Informatics}},
  title        = {{{Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors}}},
  doi          = {{10.1109/tii.2021.3060469}},
  year         = {{2021}},
}

@inproceedings{30340,
  author       = {{Hagemeyer, Marc and Wallmeier, Peter and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{Proc. 36th IEEE Applied Power Electronics Conference (APEC)}},
  location     = {{Phoenix, AZ, USA}},
  pages        = {{569 -- 576}},
  publisher    = {{IEEE}},
  title        = {{{Comparison of unidirectional Three- and Four-Wire based Boost PFC-Rectifier Topologies for Non-Isolated Three-Phase EV On-Board Chargers under Common-Mode Aspects}}},
  year         = {{2021}},
}

@misc{30348,
  author       = {{Schafmeister, Frank}},
  booktitle    = {{Power System Design (PSD) Web Magazine}},
  title        = {{{Transformerless On-Board Chargers at Three- and Single-Phase Operation: Compensation of LF Common-Mode Noise by the Internal DC/DC-Stage}}},
  year         = {{2021}},
}

@phdthesis{30849,
  author       = {{Henkenius, Carsten}},
  title        = {{{Entwurf netzfreundlicher Synchrongleichrichter mit integriertem Synchronwandler}}},
  doi          = {{10.17619/UNIPB/1-1109}},
  year         = {{2021}},
}

@article{22925,
  author       = {{Claes, Leander and Chatwell, René Spencer and Baumhögger, Elmar and Hetkämper, Tim and Zeipert, Henning and Vrabec, Jadran and Henning, Bernd}},
  issn         = {{0263-2241}},
  journal      = {{Measurement}},
  title        = {{{Measurement procedure for acoustic absorption and bulk viscosity of liquids}}},
  doi          = {{10.1016/j.measurement.2021.109919}},
  year         = {{2021}},
}

@inproceedings{32125,
  abstract     = {{Fault coverage analysis and fault simulation are well-established methods for the qualification of test vectors in hardware design. However, their role in virtual prototyping and the correlation to later steps in the design process need further investigation. We introduce a metric for RISC-V instruction and register coverage for binary software. The metric measures if RISC-V instruction types are executed and if GPRs, CSRs, and FPRs are accessed. The analysis is applied by the means of a virtual prototype which is based on an abstract instruction and register model with direct correspondence to their bit level representation. In this context, we analyzed three different openly available test suites: the RISC-V architectural testing framework, the RISC-V unit tests, and programs which are automatically generated by the RISC-V Torture test generator. We discuss their tradeoffs and show that by combining them to a unified test suite we can arrive at a 100% GPR and FPR register coverage and a 98.7% instruction type coverage.}},
  author       = {{Adelt, Peer and Koppelmann, Bastian and Müller, Wolfgang and Scheytt, Christoph}},
  booktitle    = {{MBMV 2021 - Methods and Description Languages for Modelling and Verification of Circuits and Systems; GMM/ITG/GI-Workshop}},
  isbn         = {{978-3-8007-5500-4}},
  publisher    = {{VDE}},
  title        = {{{Register and Instruction Coverage Analysis for Different RISC-V ISA Modules}}},
  year         = {{2021}},
}

@article{28196,
  abstract     = {{We show that narrow trenches in a high-contrast silicon-photonics slab can act as lossless power dividers for semi-guided waves. Reflectance and transmittance can be easily configured by selecting the trench width. At sufficiently high angles of incidence, the devices are lossless, apart from material attenuation and scattering due to surface roughness. We numerically simulate a series of devices within the full 0-to-1-range of splitting ratios, for semi-guided plane wave incidence as well as for excitation by focused Gaussian wave bundles. Straightforward cascading of the trenches leads to concepts for 1×M-power dividers and a polarization beam splitter.}},
  author       = {{Hammer, Manfred and Ebers, Lena and Förstner, Jens}},
  issn         = {{2578-7519}},
  journal      = {{OSA Continuum}},
  keywords     = {{tet_topic_waveguide}},
  number       = {{12}},
  pages        = {{3081}},
  title        = {{{Configurable lossless broadband beam splitters for semi-guided waves in integrated silicon photonics}}},
  doi          = {{10.1364/osac.437549}},
  volume       = {{4}},
  year         = {{2021}},
}

@inproceedings{32132,
  abstract     = {{Die Werkzeugdemonstration des QEMU Timing Analyzers (QTA) stellt eine Erweiterung des quelloffenen CPU Emulators QEMU zur Simulation von Softwareprogrammen und deren Worst-Case Zeitverhaltens vor, das durch eine statische Zeitanalyse vorher aus dem Softwareprogramm extrahiert wurde. Der Ablauf der Analyse gliedert sich in mehrere Schritte: Zunächst wird für das zu simulierende Binärprogramm eine WCET-Analyse mit aiT durchgeführt. Im Preprocessing des aiT-Reports wird daraufhin ein WCET-annotierter Kontrollflussgraph erzeugt. Dabei entsprechen die Knoten im Kontrollflussgraph den aiT-Blöcken und die Kanten dem jeweiligen Worst-Case-Zeitverbrauch, um das Programm im aktuellen Ausführungskontext vom Quell- bis zum Zielblock laufen zu lassen. Nach dem Preprocessing werden Binärprogramm und der zuvor erzeugte, zeitannotierte Kontrollflussgraph von QEMU geladen und gemeinsam simuliert.

Die Implementierung des QTA basiert auf der Standard TGI Plugin API (Tiny Code Generator Plugin API), die seit Ende 2019 mit QEMU V4.2 verfügbar ist. Dieses API erlaubt die Entwicklung von versionsunabhängigen QEMU-Erweiterungen. Die QEMU-QTA-Erweiterung wird zum Zeitpunkt der Werkzeugdemonstration inklusive des ait2qta-Preprozessors unter github.com im Quellcode frei verfügbar sein.

Die Demonstration geht von einer existierenden aiT-Analyse eines für TriCore© kompilierten binären Softwareprograms aus, erläutert das Kontrollflusszwischenformat und zeigt die zeitannotierte Simulation der Software.}},
  author       = {{Adelt, Peer and Koppelmann, Bastian and Müller, Wolfgang and Scheytt, Christoph}},
  booktitle    = {{MBMV 2021 - Methods and Description Languages for Modelling and Verification of Circuits and Systems; GMM/ITG/GI-Workshop}},
  keywords     = {{QEMU, aiT, Zeitannotation, WCET}},
  publisher    = {{VDE}},
  title        = {{{QEMU zur Simulation von Worst-Case-Ausführungszeiten}}},
  year         = {{2021}},
}

@inproceedings{24551,
  abstract     = {{Access to precise meteorological data is crucial to be able to plan and install renewable energy systems 
such as solar power plants and wind farms. In case of solar energy, knowledge of local irradiance and air temperature 
values is very important. For this, various methods can be used such as installing local weather stations or using 
meteorological data from different organizations such as Meteonorm or official Deutscher Wetterdienst (DWD). An 
alternative is to use satellite reanalysis datasets provided by organizations like the National Aeronautics and Space 
Administration (NASA) and European Centre for Medium-Range Weather Forecasts (ECMWF). In this paper the 
“Modern-Era Retrospective analysis for Research and Applications” dataset version 2 (MERRA-2) will be presented, 
and its performance will be evaluated by comparing it to locally measured datasets provided by Meteonorm and DWD. 
The analysis shows very high correlation between MERRA-2 and local measurements (correlation coefficients of 0.99) 
for monthly global irradiance and air temperature values. The results prove the suitability of MERRA-2 data for 
applications requiring long historical data. Moreover, availability of MERRA-2 for the whole world with an acceptable 
resolution makes it a very valuable dataset.}},
  author       = {{Khatibi, Arash and Krauter, Stefan}},
  booktitle    = {{Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021)}},
  isbn         = {{3-936338-78-7}},
  keywords     = {{Energy potential estimation, Photovoltaic, Solar radiation, Temperature measurement, Satellite data, Meteonorm, MERRA-2, DWD}},
  pages        = {{1141 -- 1147}},
  title        = {{{Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD)}}},
  doi          = {{10.4229/EUPVSEC20212021-5BV.4.11}},
  year         = {{2021}},
}