Computational Magnetics
Many electro-technical devices such as e.g. printed circuit boards, electrical drives and antenna systems can be simulated on the basis of electrical circuits. However, the increasing frequencies and the decreasing size force designers to account for wave propagation effects, eddy-current effects, ferromagnetic saturation and hysteresis. For wave propagation effects and eddy-current effects, the results of stand-alone field simulation can be represented by an order-reduced equivalent model, which is then inserted in the overall circuit model. The representation of field-dependent nonlinearities and hysteresis effects, however, is not straightforward.

2D Simulation of a Transformer
The coupled field and circuit simulation becomes troublesome when a large number of time steps is required. This occurs when e.g. simulating an electrical drive where the machine requires 10 periods of 50 Hz to reach nominal speed whereas the switching of the Insulated Gate Bipolar Transistors in the frequency converter switches at 20 kHz, necessitating a time steps in the order of a microsecond to be used in the simulation. Since the field model consists typically of a few million degrees of freedom, all those unknowns have to be solved in every time step. Fortunately, the relevant time constants in electrical-energy converter are in the range 50 Hz. Hence the field model does not have to be time-stepped at the same rate as the circuit model, in which fast switches are present. The use of adaptive multirate time-integration schemes can reduce the numerical complexity of the problem substantially.
Research Questions
- Efficiency of the time-integration for field devices in pulsed circuits (multirate, dynamic iteration)
- DAE-index of the coupled system
- Existence and Uniqueness of the solution
Cooperation
- Herbert De Gersem, Katholieke Universiteit Leuven
- Markus Clemens, Bergische Universität Wuppertal
- Sascha Baumanns, Universität zu Köln
Former and ongoing projects
Publications
- 2021
4567.
Günther, Michael; Bartel, Andreas; Jacob, Birgit; Reis, Timo
Dynamic iteration schemes and port-Hamiltonian formulation in coupled differential-algebraic equation circuit simulation
International Journal of Circuit Theory and Applications, 49 (2) :430–452
2021
Herausgeber: John Wiley & Sons4566.
Günther, Michael; Bartel, Andreas; Jacob, Birgit; Reis, Timo
Dynamic iteration schemes and port-Hamiltonian formulation in coupled differential-algebraic equation circuit simulation
International Journal of Circuit Theory and Applications, 49 (2) :430–452
2021
Herausgeber: John Wiley & Sons4565.
[german] Grandrath, Rebecca; Bohrmann-Linde, Claudia
E-Book-flankiertes Experimentalkonzept zu mikrobiellen Brennstoffzellen in der Sekundarstufe II
Digitalisation in Chemistry Education. Digitales Lehren und Lernen an Hochschule und Schule im Fach Chemie
Seite 133-141
Herausgeber: Johannes Huwer, Amitabh Banerji und Nicole Graulich, Waxmann, Münster
2021
133-141ISBN: 978-3-8309-4418-8
4564.
Felpel, M.; Kienitz, J.; McWalter, T. A.
Effective stochastic volatility: Applications to {ZABR}-type models
Quantitative Finance, 21 (5) :837-852
2021
Herausgeber: Routledge4563.
Felpel, M.; Kienitz, J.; McWalter, T. A.
Effective stochastic volatility: applications to ZABR-type models
Quantitative Finance, 21 (5) :837–852
2021
Herausgeber: Routledge4562.
Haussmann, N.; Zang, M.; Stroka, S.; Mease, R.; Schmuelling, B.; Clemens, M.
Efficient Assessment of the Human Exposure to Low-Frequency Magnetic Fields Based on Free Space Field Measurements
23rd International Conference on the Computation of Electromagnetic Fields (COMPUMAG 2021), Cancun, Mexico, Online Conference, 16.-21.01.2022. Two-page digest submitted.
20214561.
Acu, Ana-Maria; Heilmann, Margareta; Raşa, Ioan
Eigenstructure and iterates for uniquely ergodic Kantorovich modifications of operators II
Positivity, 25 :1585-1599
20214560.
[german] Grandrath, Rebecca; Bohrmann-Linde, Claudia
Eine Lehrkräfte-Fortbildung im Portrait: Lowcost Experimente zu verschiedenen Brennstoffzelltypen für den Einsatz im Chemieunterricht.
CHEMKON
20214559.
Alameddine, Jean-Marco; others
Electromagnetic Shower Simulation for CORSIKA 8
PoS, ICRC2021 :428
20214558.
Viviani, Emma; Di Persio, Luca; Ehrhardt, Matthias
Energy markets forecasting. From inferential statistics to machine learning: The German case
Energies, 14 (2) :364
2021
Herausgeber: MDPI4557.
Viviani, Emma; Di Persio, Luca; Ehrhardt, Matthias
Energy markets forecasting. From inferential statistics to machine learning: The German case
Energies, 14 (2) :364
2021
Herausgeber: MDPI4556.
Viviani, Emma; Di Persio, Luca; Ehrhardt, Matthias
Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case
Energies, 14 (2) :364
Januar 2021
Herausgeber: MDPI
ISSN: 1996-10734555.
Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case. Energies 2021, 14, 364
20214554.
Kossaczk{\'a}, Tatiana; Ehrhardt, Matthias; Günther, Michael
Enhanced fifth order {WENO} shock-capturing schemes with deep learning
Res. Appl. Math., 12 :100201
2021
Herausgeber: Elsevier4553.
Kossaczká, Tatiana; Ehrhardt, Matthias; Günther, Michael
Enhanced fifth order WENO shock-capturing schemes with deep learning
Results in Applied Mathematics, 12 :100201
2021
Herausgeber: Elsevier4552.
Kossaczká, Tatiana; Ehrhardt, Matthias; Günther, Michael
Enhanced fifth order WENO shock-capturing schemes with deep learning
Results in Applied Mathematics, 12 :100201
2021
Herausgeber: Elsevier4551.
Kossaczká, Tatiana; Ehrhardt, Matthias; Günther, Michael
Enhanced fifth order WENO shock-capturing schemes with deep learning
Results in Applied Mathematics, 12 :100201
2021
Herausgeber: Elsevier4550.
Kossaczká, Tatiana; Ehrhardt, Matthias; Günther, Michael
Enhanced fifth order WENO shock-capturing schemes with deep learning
Results in Applied Mathematics, 12 :100201
2021
Herausgeber: Elsevier4549.
Farkas, Bálint; Csomós, Petra; Kovács, Balázs
Error estimates for a splitting integrator for semilinear boundary coupled systems
IMA J. Numerical Analysis
20214548.
Stapmanns, J.; Hahne, J.; Helias, M.; Bolten, Matthias; Diesmann, M.; Dahmen, D.
Event-based update of synapses in voltage-based learning rules
Front. Neuroinform., 15 :15
20214547.
Stapmanns, J.; Hahne, J.; Helias, M.; Bolten, M.; Diesmann, M.; Dahmen, D.
Event-based update of synapses in voltage-based learning rules
Front. Neuroinform., 15 :15
20214546.
Stapmanns, J.; Hahne, J.; Helias, M.; Bolten, M.; Diesmann, M.; Dahmen, D.
Event-based update of synapses in voltage-based learning rules
Front. Neuroinform., 15 :15
20214545.
Glück, Jochen; Mugnolo, Delio
Eventual domination for linear evolution equations
Math. Z., 299 (3-4) :1421--1443
20214544.
Abreu, Pedro; others
Expected performance of the AugerPrime Radio Detector
PoS, ICRC2021 :262
20214543.
Tovar, Carmen M.; Haack, Alexander; Barnes, Ian; Bejan, Iustinian Gabriel; Wiesen, Peter
Experimental and theoretical study of the reactivity of a series of epoxides with chlorine atoms at 298 K
Physical Chemistry Chemical Physics, 23 (9) :5176-5186
2021