Incorporation of magnetic saturation and its aftereffects have been challenging for sub-domain based analytical electric motor models. The proposed model utilizes the direct phenomenal impact of magnetic saturation on spatial variation of the core's permeability to formulate the effective tooth width. Implementation of the proposed method does not need an additional domain or magnetic vector-potential dependent term to include the saturation and hence, provides an efficient approach. The developments derived from the proposed method are seen in better estimation of motor's power factor, breakdown torque, and additional iron loss due to tooth pulsation and surface eddy currents. Prediction capability of the model is demonstrated with the experimental and finite element results of an 11 kW, four-pole induction motor for a wide range of operation.

This paper presents an eddy current based stray loss model for induction motors taking into account the impact of motor's loading. The model uses the various motor inductances and, other nameplate data of an induction motor as primary variables. The Magnetic field distribution in a motor is prominently affected by the stator and rotor slot geometries. Distortions in the magnetic field have a direct impact on SL as well as on various inductances of the motor. The development and validation of the model is accomplished by testing total 26 numbers of induction motors of different geometries and materials at different loading conditions. In a further step, the applicability of the model in designing an IM is presented by re-designing a 75kW induction motor and comparing the experimental test results with the initial IM.

The work presents a fast and accurate empirical stray loss model for inverter fed three-phase induction motors (IMs). The model is intended to quantify the SL both at the design stage and, normal operation of the IM. The development of the model considers the variations of frequency, switching frequency and motor’s loading. Test data of 128 operating points of two training IMs are used to develop the model. The accuracy and prediction capability of the proposed model is presented with the measured SL values for 128 operating points of another set of two IMs of the same specifications and different geometries.

The work presents a fast and accurate core loss evaluation method for inverter-fed induction machines. The proposed method takes into account the influence of time variation of magnetic permeability on the eddy current loss. Furthermore, the proposed method presents an accurate approach to precisely evaluate the hysteresis loss. The results obtained from the proposed method are compared with the existing methods for a 1.5kW inverter-driven induction motor. The method shows sufficiently high accuracy with reduced complexity and implementation-time for a wide range of inverter switching frequency and motor's loading.