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2022 | OriginalPaper | Chapter

Traction Control Algorithms Versus Dynamic Performance in Light Rail Vehicle Design Architectures

Authors : Esteban Bernal, Maksym Spiryagin, Ingemar Persson, Sanjar Ahmad, Qing Wu, Colin Cole

Published in: Advances in Dynamics of Vehicles on Roads and Tracks II

Publisher: Springer International Publishing

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Abstract

Light rail vehicles (LRV) are becoming more attractive for urban centres as a sustainable mass transportation solution. The tight curves and short transitions that characterise urban LRV networks lead to high wear and undesirable vehicle dynamics that can be avoided with active suspensions or traction control algorithms. This paper presents a comparison on the dynamic performance and curve negotiation of LRV with solid wheelsets and independently rotating wheels (IRW) with different traction control systems. Two multibody simulations were conducted to compare slip, angle of attack (AoA) and other vehicle dynamics parameters. The traction control was set to operate at the maximum traction conditions with a slip set point. The wheel-rail contact model included the effects of slip-dependent friction variations. It was found that the LRV with IRW reduced the lateral wheel-rail contact forces, traction coefficients and wheel torque when negotiating a curve, while maintaining the AoA performance. The results indicate that with an appropriate traction control algorithm, a LRV with IRW can be more track friendly than a solid wheelsets LRV when negotiating a curve in maximum traction conditions.

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Metadata
Title
Traction Control Algorithms Versus Dynamic Performance in Light Rail Vehicle Design Architectures
Authors
Esteban Bernal
Maksym Spiryagin
Ingemar Persson
Sanjar Ahmad
Qing Wu
Colin Cole
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-031-07305-2_9

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