Electromechanical Coupling Dynamics Modeling and Analysis of Superconducting Electrodynamic Suspension Train Under Random Irregularities

Superconducting electrodynamic suspension (EDS) systems show great promise for high-speed transportation. However, they are subjected to random vibrations due to spatial magnetic field higher harmonics and geometric irregularities from the ground levitation and guidance coils (LGCs), which affect the magnetic-thermal stability of superconducting coils (SCs) and overall vehicle operation. Therefore, the vibration characteristics of the EDS system is crucial for vehicle design. This article presents a comprehensive electromechanical coupling co-simulation of a three-car, four-bogie train, integrating a dynamic circuit equation with a dynamics equation. Random excitations from lateral and vertical irregularities serve as inputs for the dynamic magnetic-track relations. The dynamic responses are simulated at medium-low speed, high speed, and ultra-high speed (200, 400, and 600 km/h). The analysis focuses on both the time domain and frequency domain vibration characteristics of the bogie and car body. Additionally, the stability of the vehicle body is evaluated using acceleration and the Sperling stability index. Results indicate that the maximum lateral and vertical accelerations remain within acceptable limits, demonstrating that the EDS train maintains good riding comfort even at high speeds. The model developed in this article could be extended to analyze additional scenarios, such as irregularities in the electrical parameters of track coils or curved track transitions.

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Publication Details

Journal
IEEE Transactions on Applied Superconductivity
Published
2024-11-29
DOI
https://doi.org/10.1109/tasc.2024.3509392
Citations
6
Primary Topic
Superconducting Materials and Applications
Type
article
Field-Weighted Citation Impact
1.11
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article

Electromechanical Coupling Dynamics Modeling and Analysis of Superconducting Electrodynamic Suspension Train Under Random Irregularities

Huan Huang, Hanlin Zhu, Li Wang, Haitao Li et al.
6 citations
IEEE Transactions on Applied Superconductivity
Superconducting Materials and Applications
1.11
article

Electromechanical Coupling Dynamics Modeling and Analysis of Superconducting Electrodynamic Suspension Train Under Random Irregularities

Huan Huang, Hanlin Zhu, Li Wang, Haitao Li, Yan Xu, Guobin Lin
article en
6 citations

Abstract

Superconducting electrodynamic suspension (EDS) systems show great promise for high-speed transportation. However, they are subjected to random vibrations due to spatial magnetic field higher harmonics and geometric irregularities from the ground levitation and guidance coils (LGCs), which affect the magnetic-thermal stability of superconducting coils (SCs) and overall vehicle operation. Therefore, the vibration characteristics of the EDS system is crucial for vehicle design. This article presents a comprehensive electromechanical coupling co-simulation of a three-car, four-bogie train, integrating a dynamic circuit equation with a dynamics equation. Random excitations from lateral and vertical irregularities serve as inputs for the dynamic magnetic-track relations. The dynamic responses are simulated at medium-low speed, high speed, and ultra-high speed (200, 400, and 600 km/h). The analysis focuses on both the time domain and frequency domain vibration characteristics of the bogie and car body. Additionally, the stability of the vehicle body is evaluated using acceleration and the Sperling stability index. Results indicate that the maximum lateral and vertical accelerations remain within acceptable limits, demonstrating that the EDS train maintains good riding comfort even at high speeds. The model developed in this article could be extended to analyze additional scenarios, such as irregularities in the electrical parameters of track coils or curved track transitions.

IEEE Transactions on Applied SuperconductivityVol. 35(5)
Tongji University (CN), Southwest Jiaotong University (CN)
Openalex Percentile: Top 24%
Superconducting Materials and Applications
1.11
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