Title: Multiobjective optimisation of an energy-efficient magnet track-eddy current composite brake for high-speed train

Authors: Benzhen Guo; Desheng Li; Bin Wang; Zequn Li; Tong Zhao

Addresses: Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China; College of Information Science and Engineering, Hebei North University, Zhangjiakou, 075000, China ' Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China ' Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China ' Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China ' Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China

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.

Keywords: magnetic track; eddy current; brake; high-speed train; multiobjective optimisation.

DOI: 10.1504/IJVD.2023.134750

International Journal of Vehicle Design, 2023 Vol.92 No.2/3/4, pp.316 - 335

Received: 24 Apr 2022
Received in revised form: 01 Dec 2022
Accepted: 21 Dec 2022
Published online: 09 Nov 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article