Volume 23 Issue 6
Dec.  2023
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2023  >  23(6): 232-243
LIU Qing-hui, MA Wei-hua, SHAN Lei, LUO Shi-hui, LIU Jing, QIN Long-quan. Analysis of electromagnet structure parameters of medium and low speed maglev train based on test data[J]. Journal of Traffic and Transportation Engineering, 2023, 23(6): 232-243. doi: 10.19818/j.cnki.1671-1637.2023.06.015
Citation: LIU Qing-hui, MA Wei-hua, SHAN Lei, LUO Shi-hui, LIU Jing, QIN Long-quan. Analysis of electromagnet structure parameters of medium and low speed maglev train based on test data[J]. Journal of Traffic and Transportation Engineering, 2023, 23(6): 232-243. doi: 10.19818/j.cnki.1671-1637.2023.06.015
shu

Analysis of electromagnet structure parameters of medium and low speed maglev train based on test data

doi: 10.19818/j.cnki.1671-1637.2023.06.015
  • 1.

    State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

  • 2.

    Shandong Heshun Electric Co., Ltd., Feicheng 271600, Shandong, China

Funds:

National Natural Science Foundation of China 51875483

Science and Technology Program of Sichuan Province 2021YJ0002

More Information
  • Author Bio:

    LIU Qing-hui(1993-), male, doctoral student, 932095973@qq.com

    MA Wei-hua(1979-), male, professor, PhD, mwh@swjtu.edu.cn

  • Received Date: 2023-06-11
  • Publish Date: 2023-12-25
    Abstract
  • To improve the carrying capacity of medium and low speed maglev trains, based on the equivalent magnetic circuit method, a full-size levitation electromagnet magnetic circuit model was established. In addition, the vertical electromagnetic force expression containing the levitation electromagnet structure parameters was deduced. According to the influence factor analysis method, the influences of structure parameters such as the number of coil turns, electromagnet width, and pole plate length on the vertical electromagnetic force of the levitation electromagnet were comparatively investigated. Through the single electromagnet test bench, the changes in the vertical electromagnetic forces and lift-to-weight ratios of levitation electromagnets with 410 and 320 coil turns were compared under different levitation gaps and coil currents. The feasibility of optimizing the coil turns to improve the levitation performance of medium and low speed maglev trains was verified. Research results show that compared with the electromagnet width and pole plate length, the coil turns is the main factor affecting the levitation performance of maglev trains, but in the small current range of 10-30 A and the large levitation gap (>10 mm), changing the coil turns has a weak effect on the enhancement of vertical electromagnetic force of the levitation electromagnet. When the levitation gap is 8 mm, and the current of the coil is 30-50 A, the levitation electromagnet with 410 coil turns is more effective than that with 320 coil turns in improving the vertical electromagnetic force of the levitation electromagnet, and the average vertical electromagnetic force increases by about 2.94 kN, with an enhancement ratio of about 27.8%. The average lift-to-weight ratio increases by about 2.83, and the enhancement ratio is about 15.33%. As the coil current further increases, and the levitation gap further reduces, the average vertical electromagnetic force increases by about 3.38 kN, and the enhancement ratio is about 25.5%. The average lift-to-weight ratio improves by about 3.06, and the enhancement ratio is about 13.22%. It shows that the levitation electromagnet with 410 coil turns has the best effect on improving the levitation performance of medium and low speed maglev trains when the levitation gap is 8 mm, and the coil current is 30-50 A. The variance and standard deviation of vertical electromagnetic force of the levitation electromagnet with 410 coil turns are greater than those with 320 coil turns, indicating that increasing the coil turns will make the vertical electromagnetic force of the levitation electromagnet more sensitive to parameter changes.

     

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