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<p>By simulating the impact situations that may arise during actual running, the additional mass method is employed to ascertain the genuine physical parameters of railway vehicles based on a drop impact test. A mathematical model with twelve degrees of freedom was developed to investigate physical parameter identification in railway vehicle systems. Test conditions for drop impact excitation were established for parameter identification, and the state matrix of the vehicle system was derived using the state-space method. The additional mass method was then applied to identify practical physical parameters of railway vehicles. Simulations were conducted to evaluate the impact of the additional mass method on the accuracy of identified physical parameters. A sensitivity analysis of the additional mass method indicated that a 0.5% incremental percentage is necessary for enhanced identification accuracy. The experiment for identifying the physical parameters of subway vehicles utilized the additional mass method, demonstrating its effectiveness in distinguishing the actual railway vehicle parameters. The results validate the utility of the drop impact excitation method for identifying physical parameters of railway vehicle systems, which is crucial for vehicle structure design and verification.</p>

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Identification of physical parameters in railway vehicles using impact test excitation method

  • 期刊论文

  • 发表日期：

    2025年7月2日

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  • Jianyong Yu,
  • Xiaolong He,
  • Yangjun Wu,
  • Meng Xu,
  • Linling Wang

摘要

By simulating the impact situations that may arise during actual running, the additional mass method is employed to ascertain the genuine physical parameters of railway vehicles based on a drop impact test. A mathematical model with twelve degrees of freedom was developed to investigate physical parameter identification in railway vehicle systems. Test conditions for drop impact excitation were established for parameter identification, and the state matrix of the vehicle system was derived using the state-space method. The additional mass method was then applied to identify practical physical parameters of railway vehicles. Simulations were conducted to evaluate the impact of the additional mass method on the accuracy of identified physical parameters. A sensitivity analysis of the additional mass method indicated that a 0.5% incremental percentage is necessary for enhanced identification accuracy. The experiment for identifying the physical parameters of subway vehicles utilized the additional mass method, demonstrating its effectiveness in distinguishing the actual railway vehicle parameters. The results validate the utility of the drop impact excitation method for identifying physical parameters of railway vehicle systems, which is crucial for vehicle structure design and verification.