**9. Conclusions**

In the literature, many core-losses models are available to select. Researchers continue developing new core losses models with specific features (core material, waveform, density flux, application, frequency range, among others), but the majority are not easy to replicate.

To develop a power core losses model that involves electrical, magnetic, thermal effects, suitable for all kinds of ferromagnetic materials, and also competent to power electronic is fundamental. Not only for advantages to calculate power core losses accurately but not to reach optimal magnetic components. The challenge is to understand the comportment of

the magnetic materials and model them differently than ferrite magnetic elements because, until now, both are very similar, although their behaviour is quite different.

Each of the core losses models in this document is a point of start for researchers. Despite promising results using Steinmetz's equations, those are not enough to calculate the core losses accuracy according to the need for the power electronic community. FEM software is indispensable nowadays to validate the power losses model as the magnetic component design. At the same time, virtual laboratories are promising to be the trend in a few years, allowing a reduction of the cost of a physical test bench to that of a virtual one and getting good approximations of the magnetic component behavior in a real environment. In addition, the option to interconnect different kinds of software to implement complete power electronics systems in platforms such as HIL, SIL, and MIL, makes the capability of design more versatile.

**Author Contributions:** Conceptualization, D.R.-S. and F.J.P.-P.; methodology, M.A.R.-L.; software, I.A.-V.; validation, J.P.-O., A.-I.B.-G. and F.J.P.-P.; formal analysis, M.A.R.-L.; investigation, D.R.-S.; resources, F.J.P.-P. and A.-I.B.-G.; data curation, J.P.-O.; writing original draft preparation, D.R.-S.; writing—review and editing, D.R.-S., M.A.R.-L., J.P.-O. and F.J.P.-P.; visualization, D.R.-S.; supervision, I.A.-V.; project administration, A.-I.B.-G.; funding acquisition, F.J.P.-P. and I.A.-V. All authors have read and agreed to the published version of the manuscript.

**Funding:** The authors thank Tecnológico Nacional de México, Instituto Tecnológico de Celaya. The work of Daniela Rodriguez-Sotelo was supported by CONACYT through a Ph.D. grant.

**Acknowledgments:** The authors thank IPN, Tecnológico Nacional de México, Instituto Tecnológico de Celaya and CONACYT.

**Conflicts of Interest:** The authors declare no conflict of interest.
