Volume 23 Issue 5
Oct.  2023
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2023  >  23(5): 152-162
GUO Lei, CAI Feng-lin, YUAN Shuai, ZHU Qiu-yue, WANG Dong-yang, ZHOU Li-jun. Mass and hot spot temperature rise balance optimization of dry-type on-board traction transformers for EMUs[J]. Journal of Traffic and Transportation Engineering, 2023, 23(5): 152-162. doi: 10.19818/j.cnki.1671-1637.2023.05.010
Citation: GUO Lei, CAI Feng-lin, YUAN Shuai, ZHU Qiu-yue, WANG Dong-yang, ZHOU Li-jun. Mass and hot spot temperature rise balance optimization of dry-type on-board traction transformers for EMUs[J]. Journal of Traffic and Transportation Engineering, 2023, 23(5): 152-162. doi: 10.19818/j.cnki.1671-1637.2023.05.010
shu

Mass and hot spot temperature rise balance optimization of dry-type on-board traction transformers for EMUs

doi: 10.19818/j.cnki.1671-1637.2023.05.010

  • School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, Sichuan, China

Funds:

National Natural Science Foundation of China U1834203

Science and Technology Project of Sichuan Province 2020JDTD0009

Fundamental Research Funds for the Central Universities 2682022CX015

More Information
  • Author Bio:

    GUO Lei(1981-), female, associate professor, PhD, guolei_mail@swjtu.edu.cn

    ZHOU Li-jun(1978-), male, professor, PhD, ljzhou10@163.com

  • Received Date: 2023-04-11
    Available Online: 2023-11-17
  • Publish Date: 2023-10-25
    Abstract
  • To address the mutual constraint between the mass and hot spot temperature rise of dry-type on-board traction transformers during the optimization process, an optimization method combining the simplified computational fluid dynamics (CFD) model simulation with the multi-objective algorithm was proposed. To enhance the computational efficiency of the CFD temperature rise simulation, a simplified modeling method for the CFD of dry-type on-board traction transformer winding was proposed based on the thermal-electric transfer analogical equivalence principle. A temperature rise test platform for simulating the operating conditions was established to validate the effectiveness of the simplified modeling method. Based on the simulation results of temperature rise and response surface method using the simplified model under the coupling of multiple fields, a mathematical explicit model reflecting the intrinsic relationship between the hot spot temperature rise and mass structural parameters of the dry-type on-board traction transformer was constructed. Furthermore, in view of the constraints of electricity, magnetism, and dimensions of the on-board traction transformer, an equilibrium optimization method based on the non-dominated sorting multi-objective genetic algorithm was proposed, and the optimized scheme was compared with the initial scheme. Research results demonstrate that the equivalent simplified modeling method is rapid and concise, and it has a high computational accuracy. In the simulation model with 170 turns of winding, the simulation time reduces from 4.00 h to 0.67 h. The average relative difference between the simplified model and the specific model in the temperature rise simulation results is 0.609%, and the maximum relative difference is 2.169%. The simplified modeling method eliminates the tiny spacing of the CFD model by using the equivalent principle and significantly reduces the number of solid region grids while ensuring the grid quality. The improvement of the computational efficiency is positively correlated with the number of winding turns to be simplified. Compared with the initial scheme, the optimized scheme reduces the hot spot temperature rise of the dry-type on-board traction transformer by 33.57% and decreases the mass by 29.20 %.

     

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