Efficiency and Core Loss Map Estimation with Machine Learning Based Multivariate Polynomial Regression Model

Efficiency mapping has an important place in examining the maximum efficiency distribution as well energy consumption of designed electric motors at torque and speed. Performing analysis all operating points with FEM motor design process requires high processing costs time. In this article, a machine learning-based multivariate polynomial regression estimation model was developed to overcome these costly processes from analysis. With proposed method, different conditions during can be predicted advance accuracy. study, two models are for map core loss interior permanent magnet synchronous design. The use few parameters predict Estimation shorten offer less complex model. Obtained results validated by comparison