Research on optimization Design of Suspension Parameters of railway vehicle bogies based on surrogate model

Zou, Hua; Wu, Qifeng; Zou, Xiaolong

doi:10.1007/s11042-022-14022-4

Cited by 7 publications

(1 citation statement)

References 26 publications

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“…Correlation analysis measures the extent to which different suspension parameters correlate with vertical and lateral accelerations. Sensitivity analysis studies analyze the sensitivity of changes in the vertical and lateral accelerations to changes in the primary suspension parameters, identifying parameters with a significant impact on the system or model [20], and determining the input parameters for the subsequent multi-objective optimization [26].…”

Section: Theoretical Foundationmentioning

confidence: 99%

Multi-Objective Optimization of Bogie Stability for Minimum Radius Curve of Battery Track Engineering Vehicle

Shen,

Zhao,

Wang

et al. 2024

Applied Sciences

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A battery track engineering vehicle faces challenges such as derailment and other safety concerns when navigating an R20m minimum radius curve, primarily owing to its low vertical and horizontal stabilities. To address these issues, a methodology integrating genetic optimization algorithms with a rigid and flexible coupled multi-body dynamics simulation is proposed to optimize the primary suspensions of the bogie of the vehicle. Initially, a multi-objective optimization model combining rigid and flexible coupled multi-body dynamics of battery track engineering vehicles with a genetic optimization algorithm was formulated. Subsequently, the optimal Latin hypercube design was applied to analyze the sensitivity of vertical and horizontal stability to various suspension parameters. Finally, a non-dominated sorting genetic algorithm (NSGA-II) and an archive-based micro genetic algorithm (AMGA) were applied to optimize the primary suspensions to enhance stability. Consequently, a set of optimal suspension parameter combinations was obtained. A notable enhancement was observed in the lateral stability of the optimized battery track engineering vehicles by 23.33% and in the vertical stability by 3.5% when traversing the R20m minimum radius curve, thereby establishing a theoretical foundation for further improving the running safety of railway vehicles and resolving the shortcomings of less research on the smallest radius curve.

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Section: Theoretical Foundationmentioning

confidence: 99%