Mathematical Modeling of Fast and Accurate Coupled Electromagnetic-Thermal Analysis

被引:13
|
作者
Ryu, Jun-Yeol [1 ]
Hwang, Sung-Woo [1 ]
Chin, Jun-Woo [1 ]
Hwang, Yong-Suk [2 ]
Yoon, Sang Won [1 ]
Lim, Myung-Seop [1 ]
机构
[1] Hanyang Univ, Dept Automot Engn, Seoul 04763, South Korea
[2] MANDO Corp, Seongnam Si 13486, South Korea
基金
新加坡国家研究基金会;
关键词
Mathematical model; Electric variables; Computational modeling; Temperature distribution; Magnetic cores; Thermal analysis; Integrated circuit modeling; Coupled electromagnetic-thermal analysis; electric brake; lumped parameter magnetic circuit; lumped parameter thermal network; mathematical modeling; permanent magnet synchronous motor (PMSM); EFFICIENCY; MOTOR; PARAMETERS; DESIGN; TORQUE;
D O I
10.1109/TIA.2021.3086823
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article proposes a fast and accurate coupled electromagnetic-thermal analysis method for a permanent magnet synchronous motor. In conventional design methods, the electric and thermal characteristics are calculated simultaneously using a finite element analysis (FEA). However, FEA requires considerable computational time. Therefore, in order to reduce the computational time, mathematical models of the electric parameters and characteristics were proposed as an alternative. Accordingly, the models of the electric parameter, such as d- and q-axis inductance and flux linkage, were obtained using a modified lumped parameter magnetic circuit containing a reluctance of an iron core. Furthermore, the models were fitted according to the formula type to consider nonlinearity according to variations in current and temperature. The electric parameters calculated by FEA were used for curve fitting. A greater number of FEA points were required to determine the effect of current and temperature on the electric parameters. Curve fitting using an appropriate formula type was performed considering the accuracy and minimum number of analysis points. Mathematical modeling of the electric characteristics, including efficiency and losses, was performed. The models of losses were coupled as heat sources to the lumped parameter thermal network, which is well known for its low computational time. The proposed coupled analysis method was applied to a reference motor; through this analysis, the electric characteristics and temperature distribution were calculated simultaneously, considering changes in losses and temperature distribution. The experimental validation was conducted with an acceptable error of 4.4%.
引用
收藏
页码:4636 / 4645
页数:10
相关论文
共 50 条
  • [41] Coupled Electromagnetic-Thermal Analysis of a Surface-Mounted Permanent-Magnet Motor with Overhang Structure
    Yeo, Han-Kyeol
    Park, Hyeon-Jeong
    Seo, Jung-Moo
    Ro, Jong-Suk
    Jung, Hvun-Kyo
    2016 IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (CEFC), 2016,
  • [42] Coupled Electromagnetic-Thermal Analysis for Temperature-Dependent Materials with Physics-Informed Neural Networks
    Qi, Shutong
    Sarris, Costas D.
    2024 IEEE/MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM, IMS 2024, 2024, : 466 - 469
  • [43] Electromagnetic-Thermal Modeling of Multi-Turn Electromagnetic Rail Launcher with Phase Transition
    Sun, Jian
    Xiong, Ling
    Cong, Yuantao
    Cheng, Junsheng
    PROGRESS IN ELECTROMAGNETICS RESEARCH M, 2024, 125 : 31 - 40
  • [44] FE analysis of coupled electromagnetic-thermal phenomena in the squirrel cage motor working at high ambient temperature
    Baranski, Mariusz
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2019, 38 (04) : 1120 - 1132
  • [45] The Temperature Variation Characteristic Analysis Based on the Electromagnetic-Thermal Coupled Method for the Dry-type Transformer
    Li, Na
    Sun, Yuanyuan
    Hu, Yiru
    Zhang, Lina
    Zhong, Hui
    Wang, Erdong
    2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019), 2019, : 665 - 669
  • [46] Fast and Accurate Multiscale Electromagnetic Modeling Framework
    Chew, W. C.
    Cangellaris, A. C.
    Schutt-Aine, J.
    Braunisch, H.
    Qian, Z. G.
    Aydiner, A. A.
    Ayguen, K.
    Jiang, L. J.
    Ma, Z. H.
    Meng, L. L.
    Naeem, M.
    2013 17TH IEEE WORKSHOP ON SIGNAL AND POWER INTEGRITY (SPI), 2013,
  • [47] Coupled Electromagnetic-Thermal Analysis for Predicting Traction Motor Characteristics According to Electric Vehicle Driving Cycle
    Hwang, Sung-Woo
    Ryu, Jun-Yeol
    Chin, Jun-Woo
    Park, Soo-Hwan
    Kim, Dae-Kee
    Lim, Myung-Seop
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (05) : 4262 - 4272
  • [48] Calculation of Stray Losses and Temperature Distribution in Power Transformer Using Coupled Electromagnetic-Thermal Field Analysis
    Yan, Xiuke
    Yu, Xiangdong
    Shen, Min
    PROCEEDINGS OF THE 2015 INTERNATIONAL POWER, ELECTRONICS AND MATERIALS ENGINEERING CONFERENCE, 2015, 17 : 317 - 322
  • [49] Coupled Electromagnetic-Thermal Analysis of Electric Machines Including Transient Operation Based on Finite Element Techniques
    Jiang, Wenying
    Jahns, T. M.
    2013 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2013, : 4356 - 4363
  • [50] Lightweight design of the in-wheel motor considering the coupled electromagnetic-thermal effect
    Tan, Di
    Wu, Yanshou
    Feng, Jie
    Yang, Kun
    Jia, Xijie
    Ma, Chao
    MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, 2022, 50 (03) : 935 - 953