Design Optimization ofSynRMDrives for1EV PowerTrain Applications

Thisworkinvestigates thefeasibility ofutilizing a similar tothat ofaconventional AC machine. Thiscomplex TeamArtificial Intelligence-Electromagnetic, TAI-EM,environ-geometry results inspaceharmonics inthemagnetic flux mentforthecharacterization anddesign optimization ofsyn-waveforms ofthemachine. Inaddition, theuseofvariable chronous reluctance motors, SynRM,withAxially Laminated drives intraction applications results intimeharmonics. Anisotropic, ALA,rotor configurations. Themainobjective of speed this optimization istominimize thetorque ripple, aswellasOh- Accordingly, proper modeling oftheelectric drive undercon- micandcorelosses atagiven torque-speed condition. Thisenvi-sideration mustaccount foranisotropic effects, saturation ef- ronment isapplied forthecharacterization anddesign optimiza- fects, aswellasspace andtimeharmonics effects. Thistaskis tion ofaprototype 100KW,6000rev/min ALARotor SynRM veryinvolving asitrequires extensive computations ifoneto drive system fortraction applications. TheTAI-EMenvironment useconventional computational electromagnetics indesign resulted inanoptimized machine design. Theresults areverified bycomparing majorperformance indices ofthepredicted opti-optimizaticas. Furterm te i desgmethodologyiof mizeddesign tothose obtained fromtheprototype measure-electromechancal systems mustinclude arobust identifier ments. coupled withadesign optimization modelthat"accurately" and"quickly" predict theperformance andoptimize thedesign I.INTRODUCTION ofthesystem. Inthis work, aTAI-EM, environment isdevel- hedemandfor moreenvironmentally friendly andfuel-oped forthecharacterization ofelectromechanical systems as efficient vehicles hasincreased inresponsetogrowing well asforsetting uparobust identifier toimplement adesign