This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Modeling and Analysis of Temperature Field of Permanent Magnet Synchronous Motor Considering High Frequency Magnetic Field Characteristics
Technical Paper
2020-01-0457
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
The vehicle permanent magnet synchronous motor has the advantages of high power density, compact structure and small size, which makes it generate heat obviously in the process of energy conversion, which seriously affects the service life of the motor and the performance of permanent magnet. Predicting magnet temperature is a challenging task, in lab and various specialized applications, infrared sensors or thermocouples are used to measure the temperature, but it cost a lot. In order to predict the temperature field of the motor, the hysteresis characteristic test of the core material of the motor is carried out in this paper. The hysteresis characteristic and loss of electrical steel under different temperature, magnetic field intensity and magnetic field frequency are tested. It is found that the loss of electrical steel increases with the increase of magnetic induction intensity and magnetic field frequency. Then based on the Preisach theory, the hysteresis model of the core material is established, and analyses the advantages and disadvantages of the limiting magnetic hysteresis loop density function separation method and the symmetric minor loops density function of discretization method. Finally, a three-dimensional temperature field model of the motor was established to simulate and calculate the temperature rise of each component, and the temperature rise test of the motor was carried out on the test bench to verify the comparison with the simulation results. The experimental results and simulation results are basically consistent to prove the accuracy of motor loss calculation and temperature field simulation. The main conclusions of this paper show that considering the influence of magnetic field intensity and magnetic field frequency on the magnetization characteristics of the core can effectively improve the defects in the electromagnetic calculation of the motor core and improve the accuracy of the prediction of the electromagnetic field, loss and temperature of the motor, which is of great significance for the design and control of the motor.
Citation
Xu, J., Zhang, L., and Meng, D., "Modeling and Analysis of Temperature Field of Permanent Magnet Synchronous Motor Considering High Frequency Magnetic Field Characteristics," SAE Technical Paper 2020-01-0457, 2020, https://doi.org/10.4271/2020-01-0457.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| [Unnamed Dataset 1] | ||
| [Unnamed Dataset 2] |
Also In
References
- Lopez, I., Ibarra, E., Matallana, A. et al., “Next Generation Electric Drives for HEV/EV Propulsion Systems: Technology, Trends and Challenges,” Renewable and Sustainable Energy Reviews 114(10):1364-1389, 2019, doi:10.1016/j.rser.2019.109336.
- Sajid, H. and David, L., “An Efficient Implementation of the Classical Preisach Model,” IEEE Transactions on Magnetics 54(3):1-4, 2018, doi:10.1109/TMAG.2017.2748100.
- Li, Z., Shan, J., and Gabbert, U., “Development of Reduced Preisach Model using Discrete Empirical Interpolation Method,” IEEE Transactions on Industrial Electronics 10(99):8072-8079, 2018, doi:10.1109/TIE.2018.2807413.
- Downen, L., Glover, T., Hallock, L. et al., “Efficient Algorithms for Implementation of Hysteresis Models,” in Proceedings of SPIE - The International Society for Optical Engineering no. 7289, 2009, 72-81, doi:10.1117/12.815777.
- Vahid, H., Tegoeh, T., and Thanh, N., “A Survey on Hysteresis Modeling, Identification and Control,” Mechanical Systems and Signal Processing 49(1-2):209-233, 2014, doi:10.1016/j.ymssp.2014.04.012.
- Starodubtsev, Y., Kataev, V., and Besson, K., “Hysteresis Losses in Nanocrystalline Alloys with Magnetic-Field-Induced Anisotropy,” Journal of Magnetism and Magnetic Materials 17(10):276-305, 2019, doi:10.1016/j.jmmm.2019.02.018.
- Dupr, E., Melkebeek, J., and Keepr, R., “On a Numerical Method for the Evaluation of Electromagnetic Losses in Electric Machinery,” International Journal for Numerical Methods in Engineering 39(9):1535-1553, 2015, doi:10.1002/(SICI)1097-0207(19960515)39:93.0.CO;2-O.
- Perkkio, L., Upadhaya, B., Hannukainen, A. et al., “Stable Adaptive Method to Solve FEM Coupled with Jiles-Atherton Hysteresis Model,” IEEE Transactions on Magnetics 54(2):1-8, 2018, doi:10.1109/TMAG.2017.2782214.
- Rahim, M., Alireza, M., Mohammad, M. et al., “A Review of Thermal Analysis Methods in Electromagnetic Devices,” in IEEE 23rd International Symposium on Industrial Electronics, 2014, 739-744, doi:10.1109/ISIE.2014.6864704.
- Armor, A. and Chari, M., “Heat Flow in the Stator Core of Large Turbine-Generators, by the Method of Three-Dimensional Finite Elements Part II: Temperature Distribution in the Stator Iron,” IEEE Transactions on Power Apparatus and Systems 95(5):1657-1668, 1976, doi:10.1109/T-PAS.1976.32265.
- Felix, W., Alexander, S., Stefan, J. et al., “Modeling and Measurement of Creep- and Rate-Dependent Hysteresis in Ferroelectric Actuators,” Sensors and Actuators A: Physical 172(1):245-252, 2011, doi:10.1016/j.sna.2011.02.026.
- Xi, N., and Sulivan, C., “An Improved Calculation of Proximity-Effect Loss in High-Frequency Windings of Round Conductors,” Paper presented at in 2003 IEEE 34th Annual Conference on Power Electronics Specialist, Acapulco, Mexico, June 15-19, 2003.
- Stermecki, A., Biro, O., Bakhsk, I. et al., “3-D Finite Element Analysis of Additional Eddy Current Losses in Induction Motors,” IEEE Transactions on Magnetics 48(2):959-962, 2012, doi:10.1109/TMAG.2011.2173919.
- Wming, S., Shsun, M., and Peijen, W., “Estimation of the Core Losses of Induction Machines Based on the Corrected Epstein Test Method,” IEEE Transactions on Magnetics 55(3), March 2019, doi:10.1109/TMAG.2018.2886155.
- Atallah, K., and Howe, D., “The Calculation of Iron Losses in Brushless Permanent Magnet DC Motors,” 133(3): 578-582, 1994, doi:10.1016/0304-8853(94)90627-0.