Coupled Electromagnetic–Thermal Modelling of Dynamic Performance for Modular SPM Machines
Author:
Zhang Wei1, Li Guang-Jin1ORCID, Zhu Zi-Qiang1ORCID, Ren Bo2, Chong Yew Chuan2
Affiliation:
1. Electrical Machines & Drives Group, Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S10 2TN, UK 2. Motor Design Ltd., An Ansys Company, 5 Edison Court, Wrexham LL13 7YT, UK
Abstract
This paper presents coupled electromagnetic (EM)–thermal modelling of the steady-state dynamic performances, such as torque speed curve and the efficiency map, for surface-mounted permanent magnet machines. One important feature of such a model is that it considers the demagnetization caused by magnet temperature rise at different rotor speeds. EM-only simulations, which often assume that the machines operate under constant temperature, have been widely used in the literature. However, the interaction between EM and thermal performances could lead to very different dynamic performance prediction. This is because the material properties, e.g., magnet remanence, coercivity, and copper resistivity are temperature-dependent. The temperature rise within electrical machines reduces torque/power density, PM eddy current losses, and iron losses but increases copper loss. Therefore, the coupled EM–thermal modelling is essential to determine accurate temperature variation and to obtain accurate EM performances of electrical machines. In this paper, the coupled EM–thermal modelling is implemented for both modular and non-modular machines to reveal the advantages of the modular machine under different operating conditions. The results show that the modular machine generally has better dynamic performance than the non-modular machine because the introduced flux gaps in alternate stator teeth can boost both EM and thermal performance.
Funder
uK Engineering and Physical Science Research Council Motor Design Ltd., An Ansys Company
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
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