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A Generic Lumped-Parameter Model for Stators with Tooth-Wound Winding

This paper introduces a thermal modeling method for the prediction of the temperature in a stator with concentrated tooth-winding using a lumped-parameter thermal network (LPTN). By analogy with the electrical circuits, the thermal network of the machine has been developed. The network consists of thermal resistances, thermal capacitances, and current sources. The different principles of heat and heat flow in all directions are taken into account. The parameters of the model are calculated based on analytical relations and experiments. Sensitivity analysis and multi-objective optimization using genetic algorithm (GA) has been conducted for tuning the parameters of the model. The optimization is intended to achieve a trade-off solution which gives the best agreement between the calculated and measured temperatures in different parts of the machine. The model is implemented on the stator of a concentrated winding PMSM. For validating the model, experimental results are presented and compared with the simulated ones.