Harmonic Analysis of Superconducting and Suspension Magnetic Fields in Superconducting Maglev Trains
Journal Title: Urban Mass Transit - Year 2025, Vol 28, Issue 2
Abstract
［Objective］ During the operation of superconducting maglev trains, factors such as inconsistencies in ground coil alignment and large electromagnetic air gaps often generate significant high-order higher harmonics in the magnetic field. These harmonics considerably affect the suspension performance of the train. It is essential to study the electromagnetic characteristics and the distribution of superconducting and suspension magnetic fields under high-speed operation conditions. ［Method］ Using the MLX01 train on Yamanashi Maglev Test Line as a case study, the suspension mechanism of superconducting maglev trains is introduced, and the theoretical foundations for calculating superconducting and suspension magnetic fields are explained. The magnetomotive force distribution models of coil along the train operating and suspension directions are established. The space harmonic method is used to decouple the energy conversion process of ′superconducting magnetic field—8-shaped coil induced current—suspension magnetic field′, and to analyze the proportion of high-order harmonics in the superconducting magnetic field. Based on the 8-shaped coil structure and parameters, the induced current in 8-shaped coils is calculated, and a harmonic analysis of the suspension magnetic field is performed. ［Result & Conclusion］ On the surface of 8-shaped coils, the fundamental wave and the third harmonic dominate the superconducting magnetic field magnetic flux density, with a fundamental wave amplitude of 1.113 T, and a third harmonic proportion of 19.40% of fundamental wave. In the suspension magnetic field magnetic flux density, the fundamental wave and the fifth harmonic dominate, with a fundamental wave amplitude of 0.065 T, and a fifth harmonic proportion of 46.70% of fundamental wave.
Authors and Affiliations
Zhen LI, Yan ZHOU, Qi LUO, Qingsong YU, Kai LI
Keywords
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- EP ID EP759803
- DOI 10.16037/j.1007-869x.2025.02.006
- Views 18
- Downloads 0
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