汽车电动助力转向与主动悬架系统的集成控制

针对基于横向和垂向动理学的电动助力转向（EPS）与主动悬架（ASS）集成系统,设计了一种基于干扰抑制指标的控制策略。首先根据控制目标,选择相应的加权函数,建立增广被控对象矩阵,将鲁棒性能控制问题转化为标准的控制问题;然后在Matlab环境下进行了仿真计算。仿真结果表明,该集成控制方法是有效的,能够使汽车转向行驶时的整车综合性能得到提高。     

Reliability Analysis Method of a Control System for Subsea All-Electric Christmas Tree

The subsea all-electric Christmas tree (XT) is a key equipment in subsea production systems. Once it fails, the marine environ-ment will be seriously polluted. ...     

高速磁浮车辆悬浮架装配关键技术研究

文章针对高速磁浮车辆悬浮架装配关键技术展开研究,通过悬浮架的功能与技术以及各结构模块组成关系对悬浮架进行分析,确定装配工艺流程、工艺重点与难点,实现了装配的技术要求。     

东莞2号线整侧车门无法关闭故障分析与处理

文章分析了东莞2号线列车客室车门开关原理,针对整侧车门无法关闭故障,开展故障调查分析,并提出了一系列解决措施。经实践检验,措施合理有效。     

电动汽车动力电池热失控过程分析及预警机制设计

文章通过实验数据对热失控发生的过程进行分析,提取出关键的信号特征。设计出一套全面完整的热失控预警系统,并总结出多个报警条件,避免出现故障的误报及漏报的情况。最后介绍了热失控预警后整车及大数据的应对措施。     

多用途乘用车侧翻稳定性能动态测试方法研究

对比分析了国内外车辆侧翻稳定性相关的标准法规的基本情况。研究了车辆发生侧翻的类型和机理,基于侧向加速度判断车辆侧翻状态的方法,通过整车道路试验对比了正弦停滞试验和鱼钩试验诱导车辆发生侧翻的效果,初步探讨了多用途乘用车侧翻稳定性动态测试方法和评价指标,为国内车辆侧翻稳定系统的开发和测评标准的制定提供了参考。     

轻型车制动磨损颗粒物排放与测试

美、欧研究显示,传统动力下LDV(Light Duty Vehicle,轻型车)制动磨损颗粒物的排放量为5~7 mg/km,此值高于国6b排放标准Ⅰ型试验PM(ParticulateMatter,颗粒物)限值。车辆技术配备是关键影响因素,制动能量回收可以显著降低PM排放数值,采用NAO(Non Asbestos Organic friction material,非石棉有机物混合纤维摩擦材料)技术相比少金属衬片配置的车辆其PM排放量会降低。虽然在2018年有关制动器衬片的标准规定了一部分危害身体健康的物质含量上限,但对人体危害显著的元素锑Sb却未在列,相关标准规范亟需补充。欧盟的测试方法已基本完成框架搭建和要素设定,预计2022年发布法规标准。在制动磨损测试中,速度循环、环境温度和冷却风设定对测量值有影响,分析WLTP-BrakeCycle(World Light-duty Vehicle Test Procedure-brake Cycle,全球轻型车测试规程-制动工况)是否符合我国轻型车使用规律。     

长周期波浪作用下斜坡式引堤结构设计分析

针对长周期波浪周期长、波能大的特点,本文以具体工程为例,分析了长周期波浪对斜坡式引堤结构稳定性的影响,并结合波浪物理模型断面试验结果和工程造价对方案进行优化设计,为该类工程提供借鉴.     

A conceptual and methdological framework for the generation of activity-travel patterns

This paper develops a conceptual framework for the generation of activity and travel patterns in the context of more general structures and presents an integrated model system as a step toward development of an improved travel demand forecasting model system. We propose a two-stage structure to model activity and travel behavior. The first stage, the stop generation and stop/auto allocation models, consists of the choices for the number of household maintenance stops and the allocation of stops and autos to household members. The second stage, the tour formation model, includes the choices for the number of tours and the assignment of stops to tours for each individual, conditional on the choices in the first stage. Empirical results demonstrate that individual and household socio-demographics are important factors affecting the first stage choices, the generation of maintenance stops and the allocation of stops and autos among household members, and the second stage choices, the number of tours and the assignment of stops to tours. This revised version was published online in June 2006 with corrections to the Cover Date.     

A Pareto-improving hybrid rationing and pricing policy with multiclass network equilibria

This paper extends the work on Pareto-improving hybrid rationing and pricing policy for general road networks by considering heterogeneous users with different values of time. Mathematical programming models are proposed to find a multiclass Pareto-improving pure road space rationing scheme (MPI-PR) and multiclass hybrid rationing and pricing schemes (MHPI and MHPI-S). A numerical example with a multimodal network is provided for comparing both the efficiency and equity of the three proposed policies. We discover that MHPI-S can achieve the largest reduction in total system delay, MHPI can induce the least spatial inequity and MHPI-S is a progressive policy which is appealing to policy makers. Furthermore, numerical results reveal that different classes of users react differently to the same hybrid policies and multiclass Pareto-improving hybrid schemes yield less delay reduction when compared to their single-class counterparts.