Machine Learning-Based E-Motor Thermal Metamodeling: Replacing FE Models for Fast System-Level EV Simulation
The Challenge with E-Motor Thermal Simulation Thermal simulation of electric motors sits at the intersection of two competing demands: the need for spatial accuracy at the component level, and the speed required for system-level scenario exploration. High‑fidelity 3D Finite Element (FE) thermal models of electric machines are essential for predicting hotspot temperatures, validating cooling strategies, […]