A Prediction Model of Torque Control Parameters Considering Temperature-Dependency of IPMSM for High Speed Railway Applications

This study proposes a computationally efficient torque estimation model for interior permanent magnet synchronous motor (IPMSM), considering the temperaturedependent magnetic property of a permanent magnet (PM). The proposed model considers nonlinear characteristics such as the
$d$
$q$
cross-coupling and saturation effect based on the flux linkage mapping with the least-square method. An IPMSM for traction application is used for the validation of the proposed method. The validity is verified with comparing the results between the proposed prediction model and the transient finite element analysis at different
$PM$
temperatures.