Evaluation of Drive Cycle Clustering Methods for Estimating the Drive Cycle Losses for the Design of Electrically Excited Synchronous Machines as EV Traction Drive

Evaluates different clustering methods for estimating the drive cycle losses of electric traction machines in a computionally efficient manner. Two motor types (electrically and permanent magnet excited synchronous machine, EESM and PMSM) are compared and it is highlighted for the first time in the literature that the EESM needs finer clustering in order to meet the same precision as the PMSM.