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June 3, 2026IEEJ Transactions on Industry Applications0 citations

Scaled Roller Rig Simulation Method for Axle Load Fluctuation in Railway Vehicles and Experimental Evaluation of Adhesion Characteristics

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SUSo UenoWOWataru OhnishiTKTakafumi Koseki

Key Points

  • The aim is to understand how axle load fluctuations affect the adhesion characteristics of railway vehicles to optimize automated control.
  • Developed a scaled roller rig hardware-in-the-loop simulation system.
  • Experimentally evaluated the relationships between axle load fluctuation amplitude, frequency, slip velocity, and traction behavior.
  • Assessed the impact of traction motor torque gradient on slip velocity and adhesive force.
  • Experimental conditions led to increased slip velocity under certain axle load fluctuations.
  • The roller rig effectively reproduced real-world adhesion phenomena and variations in re-adhesion control.
  • Demonstrated that axle load fluctuations significantly impact traction behavior in railway vehicles.

Abstract

Precise vehicle control is required for improving the performance of automated operation in rail vehicles. Axle load fluctuations arising from bogie vibrations induced by traction motor torque can trigger wheel slip, highlighting the need to clarify adhesion characteristics under fluctuating axle loads. This study proposes a method to simulate axle load fluctuations using a scaled roller rig hardware-in-the-loop system (HILS). The fundamental relationships among axle load fluctuation amplitude and frequency, and slip velocity, and traction behavior were experimentally evaluated, together with the effects of the main motor torque gradient on slip velocity and adhesive force. The results identify experimental conditions that promote increased slip velocity and demonstrate that the scaled roller rig system successfully reproduces rolling stock adhesion phenomena as well as variations in re-adhesion control behavior under the influence of axle load fluctuations.

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Cite This Study

Ueno et al. (2026) studied this question.

synapsesocial.com/papers/6a1fc394dee9eb8c0dce5107https://doi.org/10.1541/ieejias.146.395
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