Periodic Reporting for period 3 - MULTIMAG (Multiscale Magnetic Models for Emerging Energy Conversion Applications)
Reporting period: 2023-03-01 to 2024-08-31
Losses arising in the magnetic cores and windings comprise a major part of the total losses in a power electronic converter. At the moment, the losses cannot be accurately analyzed, since the physical phenomena related to the loss mechanisms in the magnetic materials are not properly understood and since existing computational models are too heavy to account for the fine geometrical details in the materials and windings. The developed modeling tools are expected to bring new understanding on the loss mechanisms, which is important since the use of power electronics in the electricity system is rapidly increasing. Improved loss models allow designing for more material- and cost-efficient energy-conversion systems.
In magnetic cores wound from hundreds of layers of thin (e.g. 20 um thick) amorphous tapes, the power losses at high frequencies arise both because of eddy currents in the tape layers and the magnetization dynamics at the level of magnetic domains. To model such effects, a 2-D simulation model has been coupled to a 1-D model of the eddy currents in a single tape layer which also accounts for the magnetization dynamics at the level of magnetic domains. The approach allows considering the tape-wound inductor or transformer cores in a homogenized manner without the need of modeling each tape layer separately.
For windings, we have developed efficient numerical techniques to account for several thin parallel conductors in the simulation of complete wound components. 3-D effects in an inductor have been modeled by coupling several 2-D slices together instead of building a full 3-D model. The approach allows performing calculations for such coil geometries which would be impossible to model with a 3-D model. We have also developed methods for modeling wireless power transfer coils with multistrand windings by starting from a sub-model of an individual conductor and recursively constructing higher-level models by utilizing pre-computed results from the sub-models. This makes it possible to perform accurate but very fast calculations of multistrand windings.