Investigation on sensitivity of optimization parameters of an electrically excited synchronous machine

As part of the ongoing NGC-project (Next Generation Car) related to the research of new technologies for future road vehicles at DLR, this paper is dedicated to the topic of increasing the speed of electrical machine optimization. Therefore a sensitivity analysis of three optimization parameter has been carried out. During this analysis the effects of these parameters have been explored. The electrically excited synchronous machine (EESM) is selected as the main drive train in an electric vehicle and rotor geometry has been designed to decrease the ripple with a low reduction of the main torque. For this study EESM has been adapted with three torque ripple reduction techniques. The torque and torque ripple ranges are compared with a sensitivity analysis. This analysis can speed up the design of electrical machines. Before design optimization some optimization parameter can be excluded based on the sensitivity analysis. An optimization with less parameter is much faster. A rising number of parameter causes an exponential increase of calculation time. The results of this paper show that skewing is most effective over all. But changing the shape of tooth in cosine form in selected regions has more effect in the parameter room.