Ecological awareness has spurred a renewed interest in hybrid electrical vehicles (HEV), because of their ability to combine the drive power of a combustion engine with that of electrical machines. PMSM's notoriously offer large torque/weight ratios and are therefore particularly well suited for inclusion in HEV drivetrains, where the available space is in general strictly limited. The virtual prototyping and optimizing of PMSM for HEV drive trains is, however, a repetitive and computer intensive task. This paper presents a automated methodology aiming at reducing to a minimum the design time by means of a systematic approach and parallel computing.