Matrix Interpolation-Based Parametric Model Order Reduction of a Miniaturized Electromagnetic Energy Harvester Model

This work reports the efficient modeling and simulation of a miniaturized vibration-based electromagnetic energy harvester via the finite element and model order reduction methods. In such devices, components are moving relative to each other. Commonly, the motion is implemented via dynamical coupling, which means that two independent components are coupled via coupling matrices. To construct the model with motion increment, one can interpolate several sampled and already coupled models. In this work, we apply a superior approach of interpolating the coupling matrices instead of the already coupled matrices. This approach is further accelerated via model order reduction.