Online Parameter Estimation of PMSM in EV Powertrain Including Thermal Measurements

This paper proposes an online motor-parameter-estimator for a permanent magnet synchronous motor (PMSM) in an electric vehicle (EV) powertrain. The proposed method uses a recursive least squares filter approach in combination with the discrete time dynamic voltage equations. Stator resistance estimation is decoupled from the estimator using thermal measurements. Compared to conventional approach, the proposed method is more reliable and less noisy since it does not rely on the low contribution of stator resistance in the voltage equation. Both simulations and experiments are carried out to validate the proposed method. A sensitivity analysis shows the approach is robust against rotor position error.