A Statistical Prediction Method of AC Copper Loss in Random Wound Windings of Electrical Machines

Due to the random behavior of conductors in machines with random windings, it is difficult to predict and calculate the AC copper loss. This paper presents a practical statistic simulation method to predict the AC copper loss in random windings, which combines a semi-analytical method to calculate the circulating current loss and eddy current loss in random windings, and can save a lot of calculation time. The conductors in each turn are gathered together, and then conductors within different turns are exchanged to form a new turn distribution. Finally, mix the conductors inside each turn to form the final conductor lay. Combined with the measured data from a limited number of coils for model parameter calibration, the proposed method can be used to fast and practically predict the AC copper loss in the early stage of the machine design.