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Energies 2015, 8(12), 13996-14008; doi:10.3390/en81212410

Design and Optimization of Permanent Magnet Brushless Machines for Electric Vehicle Applications

School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
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Author to whom correspondence should be addressed.
Academic Editor: Joeri Van Mierlo
Received: 19 September 2015 / Accepted: 2 November 2015 / Published: 10 December 2015
(This article belongs to the Special Issue Advances in Plug-in Hybrid Vehicles and Hybrid Vehicles)
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Abstract

In this paper, by considering and establishing the relationship between the maximum operating speed and d-axis inductance, a new design and optimization method is proposed. Thus, a more extended constant power speed range, as well as reduced losses and increased efficiency, especially in the high-speed region, can be obtained, which is essential for electric vehicles (EVs). In the first step, the initial permanent magnet (PM) brushless machine is designed based on the consideration of the maximum speed and performance specifications in the entire operation region. Then, on the basis of increasing d-axis inductance, and meanwhile maintaining constant permanent magnet flux linkage, the PM brushless machine is optimized. The corresponding performance of the initial and optimal PM brushless machines are analyzed and compared by the finite-element method (FEM). Several tests are carried out in an EV simulation model based on the urban dynamometer driving schedule (UDDS) for evaluation. Both theoretical analysis and simulation results verify the validity of the proposed design and optimization method. View Full-Text
Keywords: design optimization; electric vehicle (EV); permanent magnet brushless machine design optimization; electric vehicle (EV); permanent magnet brushless machine
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gu, W.; Zhu, X.; Quan, L.; Du, Y. Design and Optimization of Permanent Magnet Brushless Machines for Electric Vehicle Applications. Energies 2015, 8, 13996-14008.

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