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Article type: Research Article
Authors: Wang, Haoxianga | Chen, Longa; | Sun, Xiaodonga; | Cai, Yingfenga | Diao, Kaikaia
Affiliations: [a] Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, Jiangsu, China
Correspondence: [*] Corresponding authors: Long Chen, Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, Jiangsu, China. E-mail: [email protected]. Xiaodong Sun, Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, Jiangsu, China. E-mail: [email protected]
Abstract: This work presents the development of an optimal segmented-rotor switched reluctance machine (SSRM) for the application as belt-driven starter/generators in hybrid electric vehicles. Different from conventional switched reluctance machines, the stator of the SSRM consists of two types of poles, i.e., exciting and auxiliary poles, and the rotor consists of a series of discrete segments. The initial design of this new SSRM is obtained based on the specifications of the belt-driven starter/generators. To improve the steady-state and dynamic performances in the practical operation, six important parameters, including two coefficients of stator and rotor poles, the stator inner diameter, radial height of rotor segment, and the turn-on and turn-off angles are optimized to maximize the output torque and minimize the core loss. Then, the overall performances before and after optimization are compared. It is found that the obtained optimal SSRM exhibits better flux linkage and inductance characteristics, and higher torque and output power within the whole speed range. Moreover, for the generator performance, the SSRM after optimization exhibits higher power and efficiency under the same speed. Finally, to validate the analysis method, a prototype is built and its steady-state and dynamic performances are verified by the experimental results.
Keywords: Finite element method, optimization design, segmented-rotor switched reluctance machine, belt-driven starter/generator (BSG), hybrid electric vehicle (HEV)
DOI: 10.3233/JAE-200013
Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 63, no. 3, pp. 529-550, 2020
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