Modeling, Optimization, and Analysis of Segmented Stator Flux Switching Linear Hybrid Excited Machine for Electric Power Train

Abstract

This article proposes a segmented and double stator flux switching linear hybrid excited machine (SDSFSLHEM). To reduce the machine’s iron loss and overall cost, the proposed SDSFSLHEM utilizes a segmented stator. At both ends of the mover, assistant teeth compensate for the unbalance in the three-phase flux, which is a common problem in linear machines. Field excitation (FE) is used, which adds flux regulation capability to the proposed machine and allows it to operate at a wide range of speeds. A magnetic equivalent model (MEM) is used to find the best coil combination and no-load flux linkage, to reduce computational time. The leading design parameters of the machine are globally optimized by multiobjective genetic global optimization, while keeping the slot area, electric, and magnetic loadings constant. The optimization improved peak-to-peak flux linkage by 12%, thrust force by 34.7%, thrust ripples by 17.97%, and detent force by 10.07%. Compared to the flux switching permanent magnet (PM) machine proposed in the literature, the proposed machine reduces the volume of the PM by 39.18% and provides 31.2% higher thrust force and thrust density.