Analysis of A Partitioned Stator Hybrid Excitation Spoke-Type Machine

This paper proposes a partitioned stator hybrid excitation spoke-type machine (PSHE-STM), which includes PM excitation and dc bias current excitation. In order to analyze the operating principle, the PSHE-STM is decomposed into two single excitation source machines. Both of them have contribution to torque generation. The proposed machine is optimized by using multi-objective genetic algorithm (MOGA) and finite element analysis (FEA), after which the effect of several structure parameters is investigated. Additionally, to further verify the electromagnetic performances, the comparison between the proposed PSHE-STM and a partitioned stator hybrid excitation consequent-pole type machine (PSHE-CPM) is conducted. The results demonstrate that the proposed PSHE-STM exhibits preferable performance in terms of larger torque density, lower torque ripple, and higher power factor.