Computational Electric Machine Laboratory
Computational Electric Machine Laboratory
Disciplines
Electrical Engineering, Electronics, Information Engineering (20%); Mathematics (50%); Physics, Astronomy (30%)
Keywords
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Computational engineering,
Cooling Of Electric Mac
For decades, electrical machines have played a central role in energy conversion, not only as generators for producing electrical energy, but also as motor s, e.g. for electric vehicles. They are estimated to account for more than half of the total electric energy consumption. Modern power electronics have brought about numerous new operating and application possibilities for such motors, and together with new materials and manufacturing techniques, as well as advances in design optimization and control technology, they hold enormous potential for achieving climate targets. Current design methods for electrical machines are based on a limited number of par ameters and operating modes, typically at constant speed or constant torque. Optimization potential thus falls by the wayside. The consortium now wants to make use of this potential and achieve a paradigm shift with the research work towards new integrat ed simulation and design approaches. The new approaches take into account all the important aspects of an electrical machine from the outset, such as shape and topology, time -dependent operating cycles, complex material behaviour, parameter uncertainties, robustness and noise development, as well as new cooling techniques for pushing thermal limits. Modelling, simulating and optimizing such a complex system poses extreme challenges for computational engineering (CE). CE is an interdisciplinary scientific discipline with links to applied mathematics, computer science and engineering sciences, and has established itself as the third pillar of gaining knowledge in engineering alongside theory and experiment. This coordinated programme is the first joint German-Austrian research association in the funding line of Collaborative Research Centres (DFG) / Special Research Centres (FWF). The consortium consists of scientists from the two strategic partner universities TU Darmstadt and TU Graz, as well as the Johannes Kepler University Linz.
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consortium member (01.03.2022 -)
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consortium member (01.03.2022 -)
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consortium member (01.03.2026 -)
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consortium member (01.03.2022 -)
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consortium member (01.03.2022 -)
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consortium member (01.03.2022 -)
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consortium member (01.03.2022 -)
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consortium member (01.03.2022 -)
- Technische Universität Graz
- Barbara Kaltenbacher, Universität Klagenfurt , national collaboration partner
- Laurent Daniel, CNRS Gif-sur-Yvette - France
- Maria Lopez Fernandez, University of Malaga - Spain
- Kendrick Shepherd, Brigham Young University - USA
Research Output
- 8 Citations
- 13 Publications
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2025
Title On nonlinear magnetic field solvers using local Quasi-Newton updates DOI 10.1016/j.camwa.2025.01.033 Type Journal Article Author Egger H Journal Computers & Mathematics with Applications Pages 20-31 Link Publication -
2025
Title Electro-thermal topology optimization of an electric machine by the topological derivative considering drive cycles DOI 10.1109/tmag.2025.3630345 Type Journal Article Author Krenn N Journal IEEE Transactions on Magnetics Pages 1-1 -
2025
Title Drop impact on a heated pre-wetted wall: Deposition-on-crater splash regime DOI 10.1063/5.0287310 Type Journal Article Author Weimar L Journal Physics of Fluids Pages 112105 Link Publication -
2025
Title A Comparative Study on Drive Cycle Performance of Laboratory PMSMs Using Efficiency Maps and Time-Stepping Approaches DOI 10.3390/en18215802 Type Journal Article Author Dhakal P Journal Energies Pages 5802 Link Publication -
2025
Title Topology optimization with arbitrarily many materials: density versus level-set applied to a hybrid excited rotor DOI 10.1109/tmag.2025.3630504 Type Journal Article Author Cherriere T Journal IEEE Transactions on Magnetics Pages 1-1 Link Publication -
2025
Title Comparative Study of Steady-State Efficiency Maps and Time-Stepping Methods for Induction Motor Drive Cycle Performance Analysis DOI 10.3390/en18225928 Type Journal Article Author Heidarikani K Journal Energies Pages 5928 Link Publication -
2025
Title Efficient evaluation of forward and inverse energy-based magnetic hysteresis operators DOI 10.1109/tmag.2025.3621134 Type Journal Article Author Egger H Journal IEEE Transactions on Magnetics Pages 1-1 Link Publication -
2025
Title A New Anhysteresis Curve for Magnetic Materials DOI 10.1109/tmag.2025.3639094 Type Journal Article Author Sauseng A Journal IEEE Transactions on Magnetics Pages 1-1 Link Publication -
2025
Title On feedback stabilization for the Cahn–Hilliard equation and its numerical approximation DOI 10.1093/imanum/draf118 Type Journal Article Author Egger H Journal IMA Journal of Numerical Analysis Link Publication -
2025
Title On the vector potential formulation with an energy-based hysteresis model and its numerical solution DOI 10.1109/tmag.2025.3602516 Type Journal Article Author Egger H Journal IEEE Transactions on Magnetics Pages 1-1 Link Publication -
2025
Title Analysis and Systematic Discretization of a Fokker–Planck Equation with Lorentz Force DOI 10.1515/cmam-2025-0061 Type Journal Article Author Bosboom V Journal Computational Methods in Applied Mathematics Pages 807-822 Link Publication -
2025
Title Data driven parameter identification of magnetic properties in steel sheets DOI 10.1049/smt2.12231 Type Journal Article Author Mušeljic E Journal IET Science, Measurement & Technology Link Publication -
2024
Title On the exponential stability of uniformly damped wave equations and their structure-preserving discretization DOI 10.1016/j.rinam.2024.100502 Type Journal Article Author Egger H Journal Results in Applied Mathematics Pages 100502 Link Publication