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Author:

Guo, Benzhen (Guo, Benzhen.) | Li, Desheng (Li, Desheng.) (Scholars:李德胜) | Wang, Bin (Wang, Bin.) | Li, Zequn (Li, Zequn.) | Zhao, Tong (Zhao, Tong.)

Indexed by:

EI SCIE

Abstract:

An energy-efficient magnetic track-eddy current composite brake (MT-ECB) for high-speed trains is proposed in this study. It has two modes: the magnetic track working mode and eddy current working mode. First, the structure and operating principle of the composite brake are introduced. Subsequently, a multiobjective optimisation process of the major structural parameters was conducted with the consumed PM volume, electrical excitation, and magnetic attraction force as optimisation objectives. A Kriging surrogate model for the MT-ECB was established. Optimal Pareto front solutions were acquired by adopting the non-dominated sorting genetic algorithm II (NSGAII), and the optimisation results were verified via a 3-D finite element simulation. After the optimisation of the MT-ECB, the consumed PM volume decreased by 18%, and the power consumption was reduced by 21%. The electric energy consumed per 1000 N of the eddy current braking force decreased from 4 kW to approximately 2 kW, resulting in a remarkable energy-efficient effect.

Keyword:

multiobjective optimisation magnetic track brake high-speed train eddy current

Author Community:

  • [ 1 ] [Guo, Benzhen]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 2 ] [Li, Desheng]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 3 ] [Wang, Bin]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Zequn]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 5 ] [Zhao, Tong]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 6 ] [Guo, Benzhen]Hebei North Univ, Coll Informat Sci & Engn, Zhangjiakou 075000, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF VEHICLE DESIGN

ISSN: 0143-3369

Year: 2023

Issue: 2-4

Volume: 92

Page: 316-335

0 . 5 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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