车载导航系统陀螺的自适应校正方法

分析了低成本压电振动陀螺误差及其影响因素,在实验的基础上得出采用温度补偿陀螺误差的可行性。建立了联合卡尔曼滤波方程融合GPS和INS信息,估计定位信息和陀螺误差。提出车载GPS/INS组合导航系统中陀螺零漂误差和标度因子误差的校正过程启动条件,当条件满足时,以估计的陀螺误差为输入,采用温度误差校正表学习算法对陀螺误差模型进行训练。用道路实验数据对提出的陀螺校正算法进行验证,结果表明该算法精度高、收敛快、可操作性好。     

新能源汽车车载终端下线检测系统设计

在车辆的生产过程中,除了需要确保车辆装配正常,还需要确保各个零件功能正常才能确保车辆正常下线。传统的车辆下线检测系统,需要人为的对车辆的识别码、车载终端的各路参数进行人工记录和比对,再将参数录入后台系统,耗费人力较多,检测耗时也较长,车辆下线检测的效率也较低。同时,通常的下线检测过程中,未对车载设备的正常运行进行判断,如果将问题车载终端装车下发,会导致监控平台无法对该车辆进行正常监控,存在安全隐患,也不满足相关要求,同时增加售后维护成本。基于此,本文设计开发了一种新能源汽车车载终端下线检测系统,实现了新能源车辆在出厂时,通过检测时,由检测人员操作该系统来查看终端工作状态,系统自动根据终端返回平台信息判断该终端工作是否正常,然后把结果反馈至生产系统。     

天然气掺氢发动机试验用混合气配比系统研制

为满足天然气掺氢发动机试验要求,开发应用于发动机台架试验的定掺氢比混合气配制系统。首先对定压配比系统结构组成及误差进行了分析,提出了适合天然气掺氢发动机试验用的在线混合系统,并对其组成、掺氢比控制方法及系统误差进行了分析,证明该系统能够满足发动机掺氢比试验要求。     

Transportation — “Current on-board vehicle systems”

The paper reviews the current situation on-board microprocessor applications. It first describes the aspects of vehicle technology and performance that are the focus for on-board computing equipment, from engine management systems through to fully intergrated driver decision support. In the second section a wider perspective is taken by examining the interaction of the vehicle and its environment. The third and final section of the paper considers elements of communication which permit extensive transmission of vehicle and journey data for public and private use. The conclusion identifies factors which will influence the speed with which further applications will be adopted.     

城市轨道交通列车紧急自牵引方案研究

目前,城市轨道交通列车的行驶完全依赖于外部电力供应,这就限制了断电情况下列车移动的灵活性。提出了基于车载储能装置的运营列车在外部供电瘫痪的紧急情况下的自行牵引移车方案,并对系统架构、储能装置的设计及列车运行工况等进行了分析。该方案可极大地提高列车移动的灵活性,将会在紧急救援中发挥积极作用。随着储能技术、电力电子技术日益成熟及其成本的降低,自牵引技术将会在列车上逐步得到实际应用。     

西门子信号系统车载设备头尾冗余功能简述

通过电路介绍的方式使读者能够了解西门子信号系统车载设备冗余功能的实现方式,有助于理解地铁信号系统相关接口的设计原理.     

An overview: modern techniques for railway vehicle on-board health monitoring systems

Health monitoring systems with low-cost sensor networks and smart algorithms are always needed in both passenger trains and heavy haul trains due to the increasing need for reliability and safety in the railway industry. This paper focuses on an overview of existing approaches applied for railway vehicle on-board health monitoring systems. The approaches applied in the data measurement systems and the data analysis systems in railway on-board health monitoring systems are presented in this paper, including methodologies, theories and applications. The pros and cons of the various approaches are analysed to determine appropriate benchmarks for an effective and efficient railway vehicle on-board health monitoring system. According to this review, inertial sensors are the most popular due to their advantages of low cost, robustness and low power consumption. Linearisation methods are required for the model-based methods which would inevitably introduce error to the estimation results, and it is time-consuming to include all possible conditions in the pre-built database required for signal-based methods. Based on this review, future development trends in the design of new low-cost health monitoring systems for railway vehicles are discussed.     

有轨电车储能式系统配置方案及供电系统研究

超级电容能量密度低,以超级电容为储能元件的储能式有轨电车储能能量较少,有可能出现由于能量不足而故障停车。为解决该类问题,基于对有轨电车超级电容系统和供电系统的分析,提出车载储能系统配置改进方案。通过对改进方案的仿真分析及经济性分析,认为基于锂离子电池的储能系统方案在满足有轨电车原有牵引特性不变的前提下,具有更好的经济性。在有轨电车全寿命周期(30年)内,该方案供电系统的建设成本、储能系统一次性采购及更换成本,以及运营成本都大幅下降,全寿命周期成本降低了51.14%,具有良好的工程应用前景。     

基于集成学习模型的城市轨道交通车载数据分析与列车停车误差预测

提出了一种基于Stacking策略的集成学习模型算法。通过基础模型算法评估阶段和基础模型算法集成阶段,成功选出K个基础模型,并基于模型集成策略完成了模型的集成工作,最终得到了基于Stacking策略的集成预测模型。基于实际案例,使用该集成模型对列车停车误差进行预测,并对预测结果进行验证。验证结果显示,基于Stacking策略的集成学习算法模型的训练效率高、预测精度高,与其他传统模型相比具有较强优势。     

城市轨道交通信号系统改造中的兼容性车载信号系统方案

介绍了城市轨道交通信号系统升级改造中的兼容性车载信号系统方案。通过兼容性车载信号系统,列车可在既有信号系统制式和CBTC(基于通信的列车控制)系统制式下运行,无需车载信号系统倒接,边改造边投用,进而实现安全平稳的升级改造。既有信号系统还可作为备用模式,以供列车降级运行时使用,并维持较高运行效率和确保运营安全。