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| 1 | 地铁列车紧急制动故障特征再现仿真显示文摘介绍了地铁列车紧急制动环路工作原理与紧急制动气动系统特点,提出了以综合制动指令和中继阀容积室压力为参数的紧急电磁阀故障特征判定法则,分析了有紧急制动指令时紧急制动不施加、无紧急制动指令时紧急制动异常触发与无紧急制动指令时的中继阀容积室压力异常3类紧急电磁阀故障特征,研究了紧急电磁阀的故障诊断流程,运用AMESim软件建立了制动系统仿真模型,基于故障再现的模型驱动仿真法模拟了3类紧急电磁阀故障,并在气路控制试验台上进行了第1类故障对比试验。试验结果表明:在正常情况下触发紧急制动信号时,中继阀容积室压力延时1.1s后达到目标压力;人为断开紧急电磁阀信号线并触发紧急制动信号时,中继阀容积室压力为0,并维持不变,2.6s后系统报警紧急电磁阀故障。可见,运用AMESim建立的制动系统模型能有效再现紧急制动的故障特征,以制动指令与中继阀容积室压力为参数的紧急制动故障识别分析方法可用于紧急制动在途故障监测与服役性能跟踪。 | 左建勇 韩飞 胡薇 | 2015 | 交通运输工程学报2015，15，5： | 6 |
| 2 | 高速列车制动力分配优化控制算法研究显示文摘针对当列车制动力大于粘着限制时,将产生严重滑行问题,提出了一种高性能的制动力动态分配的优化控制算法。通过建立单节列车受力模型,计算各节列车当前轨面状态下的粘着力。在电制动优先的控制策略下,考虑列车施加的制动力受到粘着力的约束条件,可得动车和拖车分别应施加的总的制动力大小。然后,各节列车按照粘着力的正比例关系,对动车和拖车总的制动力进行再分配。各节列车应施加的制动力均小于其粘着力约束,粘着力大的列车承担更大的制动力。通过仿真软件对该算法进行仿真和分析,说明提出的制动力分配优化控制算法的优越性。 | 张昌凡 殷晓飞 刘建华 何静 豆兵兵 | 2018 | 电子测量与仪器学报2018，32，3： | 5 |
| 3 | 机车编组方式对列车再充气特性的影响显示文摘为量化机车编组方式对重载列车再充气特性的影响,结合神华铁路万吨重载列车纵向动力学试验结果,对万吨重载列车再充气特性进行分析,并利用基于气体流动理论的空气制动系统仿真方法,建立列车空气制动系统模型,通过试验对比验证仿真系统的准确性,对不同机车编组、多机车不同滞后时间和不同减压量的再充气过程进行仿真。计算结果表明:列车头部机车数目增加对首车再充气特性影响较小,2种编组列车的副风缸压强差值小于15kPa;单编列车充风时间是3辆机车编组充风时间的2.4倍;当机车集中于列车前部时,充风时间缩短量与机车数目增加量非正比关系,即3辆机车集中编组的充风时间不是单编列车充风时间的3/10;机车数目对于充风时间的影响完全取决于编组方式,分散编组减压50kPa的充风时间较集中编组节省37%~75%,机车集中编组减压110kPa的充风时间是分散编组的1.5~3.5倍,分散编组常用全制动的充风时间为机车集中编组的30%~63%;从控机车滞后时间对充风时间影响较小,充风时间增长量与滞后时间相近;得到4种机车编组方式不同减压量的充风时间的二次拟合函数,随着减压量的增加,4种机车编组的充风时间增长缓慢。 | 胡杨 魏伟 张渊 | 2017 | 交通运输工程学报2017，17，3： | 5 |
| 4 | Real-time multibody modeling and simulation of a scaled bogie test rig显示文摘In wheel–rail adhesion studies,most of the test rigs used are simplified designs such as a single wheel or wheelset,but the results may not be accurate.Alternatively,representing the complex system by using a full vehicle model provides accurate results but may incur complexity in design.To trade off accuracy over complexity,a bogie model can be the optimum selection.Furthermore,only a real-time model can replicate its physical counterpart in the time domain.Developing such a model requires broad expertise and appropriate software and hardware.A few published works are available which deal with real-time modeling.However,the influence of the control system has not been included in those works.To address these issues,a real-time scaled bogie test rig including the control system is essential.Therefore,a 1:4 scaled bogie roller rig is developed to study the adhesion between wheel and roller contact.To compare the performances obtained from the scaled bogie test rig and to expand the test applications,a numerical simulation model of that scaled bogie test rig is developed using Gensys multibody software.This model is the complete model of the test rig which delivers more precise results.To exactly represent the physical counterpart system in the time domain,a real-time scaled bogie test rig(RT-SBTR)is developed after four consecutive stages.Then,to simulate the RT-SBTR to solve the internal state equations and functions representing the physical counterpart system in rigs used are simplified designs such as a single wheel or wheelset,but the results may not be accurate.Alternatively,representing the complex system by using a full vehicle model provides accurate results but may incur complexity in design.To trade off accuracy over complexity,a bogie model can be the optimum selection.Furthermore,only a real-time model can replicate its physical counterpart in the time domain.Developing such a model requires broad expertise and appropriate software and hardware.A few published works are available which deal with real-time modeling.However,the influence of the control system has not been included in those works.To address these issues,a real-time scaled bogie test rig including the control system is essential.Therefore,a 1:4 scaled bogie roller rig is developed to study the adhesion between wheel and roller contact.To compare the performances obtained from the scaled bogie test rig and to expand the test applications,a numerical simulation model of that scaled bogie test rig is developed using Gensys multibody software.This model is the complete model of the test rig which delivers more precise results.To exactly represent the physical counterpart system in the time domain,a real-time scaled bogie test rig(RT-SBTR)is developed after four consecutive stages.Then,to simulate the RT-SBTR to solve the internal state equations and functions representing the physical counterpart system in equal or less than actual time,the real-time simulation environment is prepared in two stages.To such end,the computational time improved from 4 times slower than real time to 2 times faster than real time.Finally,the real-time scaled bogie model is also incorporated with the braking control system which slightly reduces the computational performances without affecting real-time capability. | Sundar Shrestha Maksym Spiryagin Qing Wu | 2020 | Railway Engineering Science2020，28，2： | 2 |
| 5 | 重载列车制动力判断标准及纵向冲动研究显示文摘使用列车空气制动与纵向动力学联合仿真系统,对重载列车在长大下坡道区段制动力的判断标准与调整方法进行探究,并对列车在长大下坡道循环制动时产生较大车钩力的问题进行分析.提出了适合朔黄铁路2万t重载列车的制动力判断标准,并分析循环制动中列尾压强对车钩力的影响.结果表明:列尾压强是判断制动力时不可或缺的因素.在长大下坡道循环制动中,初始列尾压强为585 kPa、589 kPa的工况与593 kPa工况相比,最大拉钩力分别减小44.5%与20.9%.低列尾压强下制动缓解列车,虽然列车制动力较弱,但列车缓解同步性有所提高且循环制动缓解过程中的拉钩力有所下降. | 刘博阳 魏伟 豆飞 | 2022 | 大连交通大学学报2022，43，6： | 2 |
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