Abstract
Spatially tuning core permeability of an electromagnetic device enables superior performance. A permeability profile can be heuristically selected to improve the flux distribution in a device with a given geometry, but in order to fully leverage the capacity of spatial dependent permeability engineering, the geometry and the permeability should be optimized simultaneously. The work in this article herein presented sets forth a multiphysics design optimization paradigm that includes the permeability profile tuning in the context of both inductor and converter design. This approach enables the determination of Pareto optimal fronts consisting of a set of optimal solutions against competing objectives (e.g., mass and loss) under imposed constraints. To this end, computationally efficient analytical solutions of the heat transfer and electromagnetic formulations are derived for toroidal inductors, which are validated with finite-element analysis-based simulations. The software implemented in MATLAB 2018b is available online as an attachment to this article.
Highlights
P OWER conversion equipment utilizes energy storage devices to manage power flow during switching cycles
The object of study in this article, metal amorphous nanocomposite (MANC) alloys are a soft magnetic material with properties determined by its composition optimization and controlled annealing treatments, which produce a nanocomposite structure of nanocrystals in an amorphous precursor material
From the core flux density, the core loss is computed using the method of choice, MSE, in the results presented in this article
Summary
P OWER conversion equipment utilizes energy storage devices to manage power flow during switching cycles. The object of study in this article, MANC alloys are a soft magnetic material with properties determined by its composition optimization and controlled annealing treatments, which produce a nanocomposite structure of nanocrystals in an amorphous precursor material These alloys are produced through a rapid solidification process to form long amorphous metal ribbons (AMRs) of approximately 13–25 μm in thickness. The contribution of this article is twofold: the evaluation of spatial permeability engineering in contextual multiobjective optimization and the introduction of a computationally efficient multiphysics model for toroidal inductors design. Note that the model introduced can, be applied to design inductors using any magnetic core, those that enable spatial permeability optimization. A computationally efficient inductor design model can be introduced in an overarching power electronic converter optimization problem In such paradigm, the converter components and operational parameters are simultaneously optimized with the inductor geometry and permeability profile.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
