Title :
Design Optimization of a Novel Doubly Fed Dual-Rotor Flux-Modulated Machine for Hybrid Electric Vehicles
Author :
Yulong Liu ; Ho, S.L. ; Fu, W.N. ; Xiu Zhang
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
Abstract :
The doubly fed dual-rotor flux-modulated (DFDRFM) machine is a promising electrical continuously variable transmission (E-CVT) concept for the hybrid electric vehicles as it has two mechanical ports and two electrical ports, which are highly desirable for E-CVT. In this paper, a novel DFDRFM machine is proposed. Compared with previous designs, the most prominent merits are its compactness and robustness. In addition, it is easy to manufacture. After introducing its structure and working principle, the influence of dimensions on its torque and loss is analyzed. A genetic algorithm and finite-element method-based design optimization method, which aims to increase the efficiency of the proposed machine, is presented.
Keywords :
electric machines; finite element analysis; genetic algorithms; hybrid electric vehicles; power transmission (mechanical); torque; DFDRFM machine; E-CVT concept; design optimization method; doubly-fed dual-rotor flux-modulated machine; electrical continuously variable transmission concept; electrical port; finite-element method; genetic algorithm; hybrid electric vehicles; machine efficiency; mechanical port; torque; Copper; Core loss; Finite element analysis; Optimization; Rotors; Torque; Windings; Doubly fed dual-rotor flux-modulated (DFDRFM) machine; electric machine optimization; electrical continuously variable transmission (E-CVT); hybrid electric vehicle (HEV);
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2014.2361779
