The aim of this study is to obtain quickly thermal information on some sens
itive components of an electrical motor in a short lapse of time. The therm
al behavior of this complex system is modeled and validated. The correspond
ing detailed model leads to the resolution of a linear system of differenti
al equations of high order, but is not easy to handle for control purposes,
due to long CPU time, In order to compute faster, two model reduction tech
niques are used: the Eitelberg method and the reduction by modal identifica
tion. The reduced models effectively give good temperature accuracy on the
critical points of the motor with very fast computation time.