A novel sparse reduced order formulation for modeling electromagnetic forces in electric motors

Abstract A novel model order reduction (MOR) technique is presented to achieve fast and real-time predictions as well high-dimensional parametric solutions for the electromagnetic force which will help design, analysis of performance implementation electric machines concerning industrial applications such noise, vibration, harshness in motors. The approach allows avoid long-time simulations needed analyze machine at different operation points. In addition, it facilitates computation coupling motor other physical subsystems. Specifically, we propose a formulation sparse proper generalized decomposition procedure, combining with reduced basis approach, used fit correctly numerical obtain further data compression. This can be applied construct regression from data. These come, example, finite element simulations. As shown, an excellent agreement between results proposed method models are observed.