The University of British Columbia

Physics-based modeling of laminated magnetic devices accurately represents underlying dynamic characteristics. However, these models are hard to formulate, oversimplified with crude approximations, and computationally intensive. In this paper, a high-fidelity magnetic equivalent circuit of steel lamination is set forth based on geometrical and material data. The nonlinearity imposed by saturation is also considered. Automated linear and nonlinear order-reduction techniques are introduced to mathematically extract the essential system dynamics in the desired bandwidth, thus preserving both accuracy and computational efficiency. The resulting reduced-order system is validated with hardware measurements and full-order simulation in both time and frequency domains.