极端大客流乘降工况下城市轨道交通列车供风系统性能

孟繁辉1高靖添1徐云鹤1倪文波2杨洋1刘永科1

Air Supply System Performance in Urban Rail Transit Train under Extreme Mass Passenger Flow Boarding/Alighting Conditions

MENG Fanhui1GAO Jingtian1XU Yunhe1NI Wenbo2YANG Yang1LIU Yongke1
摘要:
[目的]城市轨道交通列车在换乘站会出现乘客载荷急速变化的极端客流工况。此时,如果站停时间内供风系统供风不足,将会导致空气弹簧悬挂系统无法在列车起动时将车体浮起离开紧急橡胶堆,进而影响车辆舒适性及制动安全性。因此,有必要研究极端大客流乘降工况下城市轨道交通列车的供风系统性能。[方法]通过建立列车供风系统和空气弹簧悬挂系统模型,模拟在站停时间内完成AW0(空载)到AW3(超员载荷)的极端上客工况以及AW3-AW0-AW3的极端换乘工况下供风系统在不同风缸配置时的性能。[结果及结论]配置空气弹簧风缸对空气弹簧悬挂系统在极端大客流乘降工况下负载变化时使空气弹簧压力尽快充到规定压力的作用明显,风缸容积需要根据空气弹簧及其附加风缸的容积、停站时间长短、实际客运量、车辆安装空间等多种因素确定。该方法可用于列车供风系统的参数优化,保证供风系统能够满足极端工况下的性能要求。
Abstracts:
[Objective] Extreme passenger flow conditions characterized by sudden changes in passenger load may occur at interchange stations for urban rail transit trains. During such conditions, if the air supply system fails to provide sufficient air within the station dwell time, the air spring suspension system may be unable to lift the carbody off the emergency rubber stacks upon train start-up. This can adversely affect ride comfort and braking safety. Therefore, it is necessary to study the air supply system performance in urban rail transit trains under extreme passenger boarding/alighting conditions. [Method] A model of the train air supply system and air spring suspension system is established. The performance of the air supply system under different air reservoir configurations is simulated for the extreme boarding condition of completing AW0 (empty load) to AW3 (overload) process within station dwell time, and for the extreme interchange condition of AW3-AW0-AW3 process. [Result & Conclusion] Configuring air spring reservoirs has significant effect on the air spring suspension system, enabling it rapidly restore air spring pressure to the specified level during load changes under extreme mass passenger flow boarding/alighting conditions. The volume of the air reservoir should be determined based on multiple factors, including the volume of the air springs and additional reservoirs, station dwell time, actual passenger volume, and available installation space on the vehicle. This method can be used for parameter optimization of train air supply systems to ensure performance requirements are met under extreme operating conditions.
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