Parasitic extraction is a powerful tool in the design process of electromechanical devices, specifically as part of workflows that check electromagnetic compatibility. A novel scheme to extract impedances from CAD device models, suitable for a finite element implementation, is derived from Maxwell's equations in differential form. It provides a foundation for parasitic extraction across a broad frequency range and is able to handle inhomogeneous permittivities and permeabilities, making it more flexible than existing integral equation approaches. The approach allows for the automatic treatment of multi-port models of arbitrary conductor geometry without requiring any significant manual user interaction. This is achieved by computing a connecting source current density that supplies current to the model's terminals, whatever their location in the model, subsequently using this current density to compute the electric field, and finally calculating the impedance via a scalar potential. A mandatory low-frequency stabilization scheme is outlined, ensuring a stable evaluation of the model at low frequencies as well. Two quasistatic approximations and the special case of perfect electric conductors are treated theoretically. The magnetoquasistatic approximation is validated against an analytical model in a numerical experiment. Moreover, the intrinsic capability of the method to treat inhomogeneous permittivities and permeabilities is demonstrated with a simple capacitor-coil model including dielectric insulation and magnetic core materials. Finally, the method's practicality is exemplified with a common mode choke model in a comparison of simulated and measured results.
Sensitivity analysis enables powerful gradient-based mathematical programming techniques in the optimization of electromechanical products with respect to electromagnetic compatibility requirements. We present a sensitivity analysis method based on finite element solutions of both a magnetoquasistatic system in a tree-cotree gauge and an electrostatic system. A repeated application of the adjoint method ensures a high computational efficiency, which is showcased in a comparison with an earlier approach. Application examples provided are the optimization of a noise filter and the sensitivity computation of a choke with dispersive magnetic core.
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