A method for modeling and power decoupling analysis of a ferrite toroidal core 3D magnetic network based on vector magnetic circuit theory

By adopting a 3D magnetic network modeling method for ferrite toroidal cores based on vector magnetic circuit theory, the problems of large computational load in three-dimensional finite element analysis and the inability of traditional magnetic circuit models to characterize active power loss are solved, enabling rapid and accurate design and multi-parameter optimization of high-frequency ferrite toroidal cores.

CN122242031APending Publication Date: 2026-06-19SOUTHEAST UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTHEAST UNIV
Filing Date
2026-03-26
Publication Date
2026-06-19

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Abstract

This invention discloses a 3D magnetic network modeling and power decoupling analysis method for ferrite toroidal cores based on vector magnetic circuit theory. First, the active power loss and reactive power of the core under multiple temperature and magnetic flux density conditions are experimentally obtained, and a two-dimensional linear interpolation surface is constructed regarding temperature and magnetic flux density. The core is then discretized into a 3D structured mesh in cylindrical coordinates, and the branch geometric parameters are calculated. The winding is equivalent to a magnetomotive force source with circumferential branches connected in series. Based on the two-dimensional interpolation surface and geometric parameters, a nonlinear iterative solution is performed to obtain the converged 3D magnetic flux density distribution. Finally, the active power loss and reactive power of the branches are calculated to achieve power decoupling. This invention introduces an equivalent magnetic induction element to achieve explicit decoupling of active power loss and reactive power, significantly reducing computation time compared to three-dimensional finite element analysis. It maintains engineering-grade computational accuracy over a wide temperature and magnetic flux density range, providing an efficient tool for rapid design and loss assessment of toroidal cores.
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