Design Comparison of Inner and Outer Rotor of Permanent Magnet Flux Switching Machine for Electric Bicycle Application

International Research and Innovation Summit 2017

Jusoh, L.I.^1 ; Sulaiman, E.^1 ; Bahrim, F.S.^1 ; Kumar, R.^1

Research Centre for Applied Electromagnetic, University of Tun Hussein Onn Malaysia, Locked Bag 101, Batu Pahat

86400, Malaysia^1

关键词: Comprehensive analysis;    Design performance;    Deterministic optimization method;    Field excitation coils;    Flux-switching machines;    Inner and outer rotors;    Permanent magnets (pm);    Permanent-magnet flux-switching machines;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/226/1/012129/pdf
DOI  :  10.1088/1757-899X/226/1/012129

来源: IOP

【 摘 要 】

Recent advancements have led to the development of flux switching machines (FSMs) with flux sources within the stators. The advantage of being a single-piece machine with a robust rotor structure makes FSM an excellent choice for speed applications. There are three categories of FSM, namely, the permanent magnet (PM) FSM, the field excitation (FE) FSM, and the hybrid excitation (HE) FSM. The PMFSM and the FEFSM have their respective PM and field excitation coil (FEC) as their key flux sources. Meanwhile, as the name suggests, the HEFSM has a combination of PM and FECs as the flux sources. The PMFSM is a simple and cheap machine, and it has the ability to control variable flux, which would be suitable for an electric bicycle. Thus, this paper will present a design comparison between an inner rotor and an outer rotor for a single-phase permanent magnet flux switching machine with 8S-10P, designed specifically for an electric bicycle. The performance of this machine was validated using the 2D- FEA. As conclusion, the outer-rotor has much higher torque approximately at 54.2% of an innerrotor PMFSM. From the comprehensive analysis of both designs it can be conclude that output performance is lower than the SRM and IPMSM design machine. But, it shows that the possibility to increase the design performance by using "deterministic optimization method".