轿车中央闭锁系统中闭锁器典型结构的研究

轿车中央闭涣系统是目前最先进的一种轿车车门锁控制系统， 锁器是其中核心部件，本文分析三种在国外高级轿车上最为常用的闭锁器典型结构及其工作原理，通过实验测试得出它们的性能指标，依据轿车电动门锁的整体性能要求比较分析各个闭锁器的性能特性。     

轿车中央智能控制系统的组成和分级递阶结构模型

智能控制技术在轿车中的应用已成为一个重要的研究方向。本文基于轿车中央控制的任务，在研究轿车中央智能控制系统组成的基础上，利用分级递阶智能控制策略，提出轿车分级递阶中央智能控制系统的结构，并对其进行了设计。     

奥迪A6型轿车发动机集中控制系统的维修

奥迪A6型轿车的发动机为信可控制汽油直接喷射式V6发动机，其控制系统包括点火控制系统，燃油喷射控制系统，怠速控制系统及排放控制系统等，介绍了奥迪A6型轿车发动机的传感器和输出装置在车上的位置，及其控制系统的故障代码表等。     

电控发动机ECU电源供给方式分析

通过对典型轿车电源供给控制系统的分析，提出电控发动机电子控制系统具体的检测和诊断方法。     

广州本田雅阁轿车安全防护系统及其检修

广州本田雅阁轿车安全防护系统主要包括车辆防起动控制系统、遥控开启车门/防盗安全报警系统，安全气囊（SRS）系统和安全带控制系统等部分组成，本文主要介绍广州本田雅阁轿车防起动控制系统的结构、工作及故障排除方法。     

红旗世纪星轿车CA7202E3的使用与维修

轿车电气和控制系统维修所包括的内容很多，轿车电气系统多数是各自独立的，各个系统主要由供电电源、保险丝或继电器、用电器和驱动电机以及控制系统所组成。     

马自达系列轿车巡航控制系统故障的诊断

马自达轿车上采用了两种结构型式的控制系统：马自达323、马自达HX-6和626型非涡轮增压型轿车，采用真空膜片式控制系统，而马自达HX-6和626型涡轮增压型轿车，则采用伺服步进电动机控制系统。真空膜片式控制系统，是根据设定的车速信号和车速传感器输送给巡航控制ECU的实际车速信号相比较。由巡航控制ECU发出控制信号去控制真空膜片式执行器的真空系统，以控制节气门开度。     

轿车空调微机控制系统研究

本文介绍了一般轿车空调器针对舒适性要求所采用的控制方式和手段，并制作了以通用汽车公司某型轿车为实验对象的单片机控制系统，同时对控制策略作了深入研究，为轿车空调热舒适性控制提供一些方法。     

奥迪AB型矫车发动机集电控制系统的维修

奥迪A6型轿车的发动机为集中控制汽油直接喷射式V6发动机。其控制系统包括点火控制系统、燃油喷射控制系统、怠速控制系统及排放控制系统等。介绍了奥迪A6型轿车发动机的传感器和输出装置在车上的位置，及其控制系统的故障代码表等。     

汽车制动电子控制系统介绍及发展

汽车制动系统是汽车主动安全的重要组成部分，直接影响汽车的安全性，目前的轿车均采用液压制动控制系统。本文主要介绍了目前轿车制动控制系统的发展现状及未来的发展趋势。[编者按]     

基于CAN总线的汽车倒车控制系统研究

汽车倒车控制系统是一种智能电子监控系统。在驾驶员停车或倒车时,检测车辆侧面和后面的障碍物距离并输出方向盘转向提示,当障碍物与车之间的距离超过设定的域值及安全驾驶距离时倒车系统会发出声音报警,提醒驾驶员控制汽车与障碍物保持一定的安全距离。这样一来即使驾驶员视野处于盲区也能使车辆有效躲避障碍物,避免发生碰撞,从而实现安全倒车。     

基于驾驶人视觉感知的高速公路速度控制措施效果分析

为了从驾驶人视觉感知角度了解4种控制措施(限速标志、警告标志、减速标线、彩色路面)对驾驶人行车速度控制的效果,基于驾驶人动态视觉特性,建立了视觉信息负荷模型,将驾驶人前方视觉区域划分成1个中央视野和4个周边视野,量化了速度控制措施对驾驶人视觉感知影响。基于实车试验数据分析表明:行车速度与驾驶人感知到的速度控制设施的视觉信息量显著相关,信息量越大,减速幅度越大;在速度控制措施的持续影响下,减速频率不会超过,而后趋于稳定。     

Evaluation of preview G-Vectoring control to decelerate a vehicle prior to entry into a curve

This paper describes the development of the braking assistance system based on a “G-Vectoring” concept. The present work focuses in particular on “Preview G-Vectoring Control” (PGVC), which is based on the “G-Vectoring Control” (GVC) scheme. In GVC, the longitudinal-acceleration control algorithm is based on the actual lateral jerk. PGVC decelerates a vehicle before it enters a curve, and is based on a new longitudinal-acceleration control algorithm which uses predicted and actual lateral jerk. Using the predicted lateral jerk makes it possible to decelerate the vehicle prior to curve entry. This deceleration can emulate a driver’s deceleration as the vehicle approaches a curve entry. PGVC is based on such deceleration algorithms and enables automatic deceleration similar to the action of a driver. It is thus possible to significantly improve the driver’s feeling when this system is activated. Driving tests with this new control system on snowy-winding course confirmed that the automatic brake control quality improved considerably compared to manual driver control considering both lap time and ride quality. These results indicate that PGVC can be a useful braking assistance system not only to improve the driver’s handling performance but also to reduce the brake-task during driving on winding roads.     

基于双模式执行器的商用车自适应巡航控制系统

为实现商用车自适应巡航控制(ACC)系统的功能,开发了双模式制动执行装置和电子油门控制装置,即基于高速开关阀的商用车气压电控辅助制动系统和双模式油门控制系统,可以实现驾驶员和ACC系统的协同切换控制。在此基础上,以某商用车为对象,设计了ACC系统,结合比例-积分控制器和Smith预估补偿器设计了ACC的下位控制算法。结果表明:该ACC系统速度稳态跟踪误差小于1 m.s-1,距离稳态跟踪误差小于1.5 m;同时油门执行器和制动执行器具有安装方便、与原车电子油门及气压制动系统兼容性好的优点。     

Driver curve speed model and its application to ACC speed control in curved roads

A speed control algorithm for an ACC (Adaptive Cruise Control) system for curved roads is proposed based on driver behavior characteristics. As the foundation of this research, a driver speed model for curved roads is developed using a series of experimental data regarding driver behavior. To adapt the model to each driver’s individual curve speed behavior, the coefficients of the model are identified in real time from the data sequences collected during drivers’ manual operation stage by a self-learning algorithm based on a Recursive Least-Square (RLS) method with a forgetting factor. Using this algorithm, the parameters of the driver model can be identified from the data collected in the manual operation phase, and the identification results are applied during the ACC automatic control phase. Based on the developed model, the ACC speed control algorithm is modified to provide each individual driver with a customized speed profile for the scenario of a curved road with no car ahead. Tests verify the applicability of the modified system.     

基于ADAMS/CAR软件的轻型客车悬架系统优化设计

文章以某轻型客车为研究对象,利用ADAMS、Car软件建立了该车虚拟仿真模型,取驾驶员座椅处的垂向加速度的均方根值为目标函数(响应),并基于ADAMS/Insight软件进行了优化;将优化前仿真结果与优化后得到的仿真结果进行了对比,结果表明优化后的仿真结果有效地改善了车辆的行驶平顺性。该研究对在车辆产品开发设计过程中提高其行驶平顺性、降低开发成本及缩短产品研发周期有着一定的指导意义。     

A Research on Analytical Method of Driver-Vehicle-Environment System for Construction of Intelligent Driver Support System

In this study, a driver model with the multiple regression and the neural network is constructed to analyze the relationship between the driver's control action and the information that includes data of vehicle behavior and environment. Using these models, effectiveness of the information to control the action of a driver is examined. To evaluate the intelligent driver support systems, Mental Work Load (MWL) model is constructed with the multiple regression and the neural network. MWL is expressed as Heart Rate Variability (HRV). Measured HRV data and calculated HRV data with MWL model show good agreement. Effectiveness of information is examined using the MWL model. From these results, it is shown that the analytical method with the driver's MWL can be used to assess and improve the intelligent driver support systems as the next stage of this research.     

AMT车辆自动巡航控制系统

车辆自动巡航即指当车辆在高速公路上行驶时，驾驶员即使不踏加速踏板，车辆仍可按驾驶员所希望的车速自动保持行驶的功能。运用该系统可以减轻驾驶员因长时间控制油门而产生的疲劳，从而减少或避免了交通事故的发生；同时又避免了不必要的油门变动，从而改善了车辆的燃料经济性和排放。本文开发了基于机械式自动变速器的车辆巡航电控系统，并且在装有机械式自动变速器的桑塔纳２０００试验样车上进行了道路巡航试验，取得满意结果。     

日本的二手车流通体系

日本汽车市场起步于上世纪60年代,二手车市场从上世纪70年代初开始迅速成长,并于90年代中期达到相对饱和状态,汽车保有量不再大幅度增长,基本维持在7500多万辆。     

In-vehicle display HMI safety evaluation using a driving simulator

Recently, telematics services and in-vehicle display devices such as the CNS (Car Navigation System) have become new causes of traffic accidents. These accidents are caused by ‘Inattention’ from the increase of the driver’s mental workload while he/she is driving. The driver of a vehicle (except for emergency or police vehicles) must not use a hand-held mobile phone while the vehicle is moving. To address this problem, Australia, England, Italy, Brazil and some states in the US have banned the use of hand-held mobile devices during driving. However, there are no restrictions on the use of in-vehicle displays or on the display’s positions. The position of a navigation system in a vehicle should be assessed objectively, and the effect of the position on the driver’s attention should be studied. Some existing research reports that in-vehicle distraction not only leads to reduced speeds and more frequent lane switching, but also more gazing by the driver to the centre of the road. In this study, to develop an assessment method and to propose the proper position of a CNS, an experiment is carried out in a driving simulator environment. Different methods to track the gaze and physical parameters of the driver are used for HMI (Human-Machine Interface) assessment. The experiment is carried out in a driving simulator to observe the glancing distribution during driving according to the position of the navigation system. Fourteen subjects participated in this experiment. Changes in subjects’ physiological signals and glancing distribution rates were collected.