FEA-based design study of 12-Slot 14-pole outer-rotor dual excitation flux switching machine for direct drive electric vehicle applications
This paper presents an investigation into feasibilities design of 12-Slot 14-Pole outerrotor dual excitation flux switching machine (ORDEFSM) for direct drive electric vehicle (EV) applications. The stator of the proposed machine consists of iron core made of electromagnetic steels, armature coils,...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Trans Tech Publications Inc
2014
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.4028/www.scientific.net/AMM.660.836 http://dx.doi.org/10.4028/www.scientific.net/AMM.660.836 http://eprints.uthm.edu.my/6402/1/FEA%2DBased_Design_Study_of_12%2DSlot_14%2DPole_Outer%2DRotor_Dual_Excitation.pdf |
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| Summary: | This paper presents an investigation into feasibilities design of 12-Slot 14-Pole outerrotor
dual excitation flux switching machine (ORDEFSM) for direct drive electric vehicle (EV)
applications. The stator of the proposed machine consists of iron core made of electromagnetic
steels, armature coils, permanent magnet (PM) and field excitation coils (FECs). The FECs in this
proposed machine is used as a secondary field mmf source to support the main flux source from
PM. Therefore, the proposed machine has extra advantage of variable flux control capability as
compared with the conventional flux switching machines (FSMs). The rotor is composed of only
stack of iron and hence, it is robust and suitable for high speed operation. The design target for the
maximum torque and power density, and the maximum speed are more than 333 Nm, 3.5 kW/kg,
and 20,000 r/min, respectively. The results obtained from two-dimensional (2-D) FEA study show
that the initial design of the proposed machine has achieved the maximum torque, power density
and maximum speed of 244.76 Nm, 3.47 kW/kg, and 20,000 r/min, respectively. Thus, it is
expected that the proposed machine potentially to achieve the target performances by implementing
optimization process using deterministic optimization method. |
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