Improved 3D hybrid thermal model for global temperature distribution prediction of interior permanent magnet synchronous motor

被引:0
作者
Liu, Feng [1 ]
Wang, Xiuhe [1 ]
Sun, Lingling [2 ]
Wei, Hongye [3 ]
Li, Changbin [4 ]
Ren, Jie [5 ]
机构
[1] Shandong Univ, Sch Elect Engn, Jinan 250061, Peoples R China
[2] Shandong Univ, Inst Vehicle Engn, Sch Mech Engn, Jinan 250061, Peoples R China
[3] Jinan Power Supply Co, State Grid Shandong Elect Power Co, Jinan 250012, Peoples R China
[4] State Grid Shandong Prov Elect Power Co, Ultra High Voltage Co, Jinan 250000, Peoples R China
[5] State Grid Shandong Elect Power Co, Elect Power Res Inst, Jinan 250003, Peoples R China
基金
中国国家自然科学基金;
关键词
3D space; Complex structure; Equivalent thermal region; Fast and exact prediction; Global temperature distribution; Interior; Permanent magnet synchronous motor; (IPMSM); Three-dimensional hybrid thermal model (3D; HTM); LUMPED-PARAMETER; ELECTRICAL MACHINES; DESIGN; TRACTION;
D O I
10.1016/j.energy.2024.134270
中图分类号
O414.1 [热力学];
学科分类号
摘要
Aiming at preventing many undesirable consequences caused by excessive temperature rise, improving the thermal management capability of interior permanent magnet synchronous motor (IPMSM), and promoting the prosperous development of IPMSM in the field of transportation electrification, this article carries out an innovative research around the highly efficient, accurate, and practical temperature prediction technique. An improved three-dimensional hybrid thermal model (3D HTM) is proposed for the fast and exact prediction of the global temperature distribution of IPMSM. First of all, to adequately account for the complex structure of IPMSM in 3D space, the equivalent thermal region is reasonably subdivided by starting from the x-y plane and the crosssection in the z-axis direction, respectively. Next, on the basis of the partial differential equation of the heat flux, the general solution for the associated temperature distribution function is derived by reference to the specific distribution characteristic of the equivalent thermal region. Afterwards, the boundary condition is deduced depending upon the interface feature between neighboring equivalent thermal regions. And further, the smooth construction and solution of 3D HTM is accomplished by incorporating the finite element analysis, lumped parameter thermal network, and iterative strategy. Thereby, the prediction of the global temperature distribution of IPMSM under various complex operating conditions is successfully realized without being constrained by the operating scenarios. Meanwhile, 3D HTM possesses very impressive prediction speed and accuracy. In particular, compared to the currently popular numerical analysis tool (computational fluid dynamics, CFD), nearly 70.00 % or more of the prediction cost, including time cost and storage cost, is saved; moreover, the prediction difference consistently stays below 4.00 %, both for the temperature variation on the comparison path and for the maximum temperatures of critical elements. Ultimately, the validity, sophistication, and practicality of this research are strongly validated by simulation calculation, comparative analysis, and prototype experiment.
引用
收藏
页数:28
相关论文
共 55 条
[41]   Optimal sizing and energy management of a novel dual-motor powertrain for electric vehicles [J].
Tian, Yang ;
Zhang, Yahui ;
Li, Hongmin ;
Gao, Jinwu ;
Swen, Austin ;
Wen, Guilin .
ENERGY, 2023, 275
[42]   Ethyl phosphoric acid grafted amino-modified polybenzimidazole with improved long-term stability for high-temperature proton exchange membrane applications [J].
Wang, Di ;
Wang, Shuang ;
Tian, Xue ;
Li, Jinsheng ;
Liu, Fengxiang ;
Wang, Xu ;
Chen, Hao ;
Mao, Tiejun ;
Liu, Geng .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (04) :3176-3185
[43]   Coupled Electromagnetic and Thermal Analysis of Permanent Magnet Rectifier Generator Based on LPTN [J].
Wang, Hanghang ;
Chen, Junquan ;
Jiang, Yapeng ;
Wang, Dong .
IEEE TRANSACTIONS ON MAGNETICS, 2022, 58 (02)
[44]   Convective Heat Transfer Characteristics on End-Winding of Stator Immersed Oil-Cooled Electrical Machines for Aerospace Applications [J].
Wang, Runyu ;
Fan, Xinggang ;
Li, Dawei ;
Qu, Ronghai ;
Li, Lei ;
Zou, Tianjie .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (04) :4265-4278
[45]   A critical review on thermal management technologies for motors in electric cars [J].
Wang, X. ;
Li, B. ;
Gerada, D. ;
Huang, K. ;
Stone, I ;
Worrall, S. ;
Yan, Y. .
APPLIED THERMAL ENGINEERING, 2022, 201
[46]  
Wang Z, 2024, Energy, P309
[47]   Comparative investigation and optimization of a direct cooling structure for the primary core and windings in permanent magnet synchronous linear motors [J].
Wang, Zheng ;
Huang, Xuzhen ;
Liu, Jizhu .
APPLIED THERMAL ENGINEERING, 2023, 228
[48]   Modelling and experimental validation of an EV torque distribution strategy towards active safety and energy efficiency [J].
Wei, Hongqian ;
Ai, Qiang ;
Zhao, Wenqiang ;
Zhang, Youtong .
ENERGY, 2022, 239
[49]   Methods of Resistance Estimation in Permanent Magnet Synchronous Motors for Real-Time Thermal Management [J].
Wilson, Simon Delamere ;
Stewart, Paul ;
Taylor, Benjamin P. .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2010, 25 (03) :698-707
[50]   Simulation and Experimental Study of Oil Injection Cooling for PMSM With Hairpin Winding [J].
Xie, Ying ;
Qi, Guoliang ;
Cai, William ;
Zhao, Xiangmin ;
Zhang, Yi ;
Wang, Zebing ;
Yang, Yanhui .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (03) :6652-6662