汽车电子巡航系统的应用

汽车巡航系统在汽车上的使用越来越普及，应用的车型更加广泛。文中介绍了电子巡航系统的原理、组成和一种电子巡航系统的应用，并展望未来的电子巡航系统的发展。     

汽车电子巡航控制系统（上）

汽车巡航控制系统可使汽车在运行中不需踩动加速踏板，就能按所设定的车速，自动地恒速行驶，有利于减轻驾驶员操作疲劳强度，已被国外一些高级轿车作为选配设备。本文着重介绍了汽车电子巡航控制系统及其各主要部件的结构、原理。     

汽车自适应巡航控制系统

随着电子技术发展,越来越多的新电子系统在整车中使用,自适应巡航控制被广泛认为是智能汽车的关键系统。文中介绍自适应巡航控制系统概述、控制原理、以及在整车中实现。     

汽车自适应巡航控制系统

随着电子技术发展,越来越多的新电子系统在整车中使用,自适应巡航控制被广泛认为是智能汽车的关键系统.文中介绍自适应巡航控制系统概述、控制原理、以及在整车中实现.     

汽车电子巡航控制系统

概述了汽车电子巡航控制系统的组成、工作原理和使用注意事项,分析了丰田凌志LEXU 400型轿车巡航控制系统控制部件的组成和安装位置。     

汽车电子巡航控制系统故障速查（二）

一、巡航控制系统的基本组成（上期已登） （续前） 二、电子巡航控制系统的故障诊断 电子巡航控制系统的故障诊断，因车型不同，执行器不同，因此在检测时要区别对待。现以丰田凌志LS400型轿车为例，介绍巡航控制装置故障的诊断方法。     

讲座：汽车电子巡航控制系统故障速查（一）

汽车巡航控制系统，又称恒速（稳速）或经济车速系统，虽然名称各不相同，但都源于英文Cruise Control system，简写为CCS，是可使汽车工作在发动机有利的转速范围内．减轻驾驶员的驾驶操纵强度，提高舒适性的汽车自动行驶装置。随着高速公路的快速发展，汽车巡航控制装置安装逐年增多。     

汽车电子巡航控制系统故障速查（三）

（续前）三、巡航控制执行器故障诊断 （1）伺服电动机电路 伺服电动机与ECU的连接电路如图11所示。     

汽车自动巡航技术

目前，汽车巡航系统已经在较高级的汽车上成熟应用，但这种 巡航系统功能较单一，对驾驶人员来讲，只相当于一个高级手油门而已。近几年发展起来的自动巡航技术在原有的汽车巡航系统基础上有很大进步，是电子计算机控制技术与汽车技术的完美结合，它的开发成功，便汽车应用向真正安全、舒适、操作简单迈出了一大步。本文以Ｂｏｓｃｈ公司是最新开发的ＡＣＣ系统为例，简要介绍了自动巡航系统的技术概况。     

本田思域巡航系统故障诊断与维修

本田思域巡航控制系统由信号输入装置、巡航控制单元和巡航控制执行器组成。信号输入装置包括巡航控制主开关和巡航控制开关、车速传感器、制动灯开关、档位开关（自动变速器）或离合器开关（手动变速器）。巡航控制系统的故障诊断可以通过检测巡航控制单元输入信号的方法判断故障部位，然后进行部件检查与维修。     

Human driving data-based design of a vehicle adaptive cruise control algorithm

This paper presents a vehicle adaptive cruise control algorithm design with human factors considerations. Adaptive cruise control (ACC) systems should be acceptable to drivers. In order to be acceptable to drivers, the ACC systems need to be designed based on the analysis of human driver driving behaviour. Manual driving characteristics are investigated using real-world driving test data. The goal of the control algorithm is to achieve naturalistic behaviour of the controlled vehicle that would feel natural to the human driver in normal driving situations and to achieve safe vehicle behaviour in severe braking situations in which large decelerations are necessary. A non-dimensional warning index and inverse time-to-collision are used to evaluate driving situations. A confusion matrix method based on natural driving data sets was used to tune control parameters in the proposed ACC system. Using a simulation and a validated vehicle simulator, vehicle following characteristics of the controlled vehicle are compared with real-world manual driving radar sensor data. It is shown that the proposed control strategy can provide with natural following performance similar to human manual driving in both high speed driving and low speed stop-and-go situations and can prevent the vehicle-to-vehicle distance from dropping to an unsafe level in a variety of driving conditions.     

Self-tuning control algorithm design for vehicle adaptive cruise control system through real-time estimation of vehicle parameters and road grade

The main purpose of this paper is to design a self-tuning control algorithm for an adaptive cruise control (ACC) system that can adapt its behaviour to variations of vehicle dynamics and uncertain road grade. To this aim, short-time linear quadratic form (STLQF) estimation technique is developed so as to track simultaneously the trend of the time-varying parameters of vehicle longitudinal dynamics with a small delay. These parameters are vehicle mass, road grade and aerodynamic drag-area coefficient. Next, the values of estimated parameters are used to tune the throttle and brake control inputs and to regulate the throttle/brake switching logic that governs the throttle and brake switching. The performance of the designed STLQF-based self-tuning control (STLQF-STC) algorithm for ACC system is compared with the conventional method based on fixed control structure regarding the speed/distance tracking control modes. Simulation results show that the proposed control algorithm improves the performance of throttle and brake controllers, providing more comfort while travelling, enhancing driving safety and giving a satisfactory performance in the presence of different payloads and road grade variations.     

Smooth motion control of the adaptive cruise control system by a virtual lead vehicle

The adaptive cruise control system maintains the appropriate distance to the lead vehicle when the lead vehicle exists and maintains the desired speed when no lead vehicle is detected. A virtual lead vehicle scheme is introduced to make the switching between the speed control algorithm and the distance control algorithm unnecessary and simplify the structure of the control system. The speed and the position of the virtual vehicle can be decided by the control system according to the current situation. Smoother responses are achieved by the virtual lead vehicle scheme compared to the conventional mode switching scheme. This method is also shown to provide a good reaction for when a lead vehicle cuts in or out. A linear quadratic controller with variable weights is suggested to control the virtual lead vehicle. This scheme shows improved performance in terms of passenger comfort and fuel efficiency of the host vehicle.     

电动汽车充电接口的电子锁的研究

充电接口的电子锁是电动汽车推广的前提条件之一,电子锁是电动汽车充电的安全性保证。本文介绍了国外充电接口电子锁的发展和现状,结合中国电网行业和电动汽车行业的实际情况,本文分别对国内车辆端、桩端的电子锁的应用和技术细节做了简要描述。     

A comprehensive review of the development of adaptive cruise control systems

It has been 15 years since the first generation of adaptive cruise control (ACC)-equipped vehicles was available on the market and 7 years since the ISO standard for the first generation of ACC systems was produced. Since the next generation of ACC systems and more advanced driver-assistant systems are at the verge of complete introduction and deployment, it is necessary to summarise the development and research achievements of the first generation of ACC systems in order to provide more useful experiential guidance for the new deployment. From multidimensional perspectives, this paper looks into the related development and research achievements to objectively and comprehensively introduce an ACC system to researchers, automakers, governments and consumers. It attempts to simply explain what an ACC system is and how it operates from a systematic perspective. Then, it clearly draws a broad historical picture of ACC development by splitting the entire history into three different phases. Finally, the most significant research findings-related ACC systems have been reviewed and summarised from the human, traffic and social perspectives respectively.     

Real-time weighted multi-objective model predictive controller for adaptive cruise control systems

In this paper, a novel spacing control law is developed for vehicles with adaptive cruise control (ACC) systems to perform spacing control mode. Rather than establishing a steady-state following distance behind a newly encountered vehicle to avoid collision, the proposed spacing control law based on model predictive control (MPC) further considers fuel economy and ride comfort. Firstly, a hierarchical control architecture is utilized in which a lower controller compensates for nonlinear longitudinal vehicle dynamics and enables to track the desired acceleration. The upper controller based on the proposed spacing control law is designed to compute the desired acceleration to maintain the control objectives. Moreover, the control objectives are then formulated into the model predictive control problem using acceleration and jerk limits as constrains. Furthermore, due to the complex driving conditions during in the transitional state, the traditional model predictive control algorithm with constant weight matrix cannot meet the requirement of improvement in the fuel economy and ride comfort. Therefore, a real-time weight tuning strategy is proposed to solve time-varying multi-objective control problems, where the weight of each objective can be adjusted with respect to different operating conditions. In addition, simulation results demonstrate that the ACC system with the proposed real-time weighted MPC (RW-MPC) can provide better performance than that using constant weight MPC (CW-MPC) in terms of fuel economy and ride comfort.     

Model predictive control with constraints for a nonlinear adaptive cruise control vehicle model in transition manoeuvres

A vehicle following control law, based on the model predictive control method, to perform transition manoeuvres (TMs) for a nonlinear adaptive cruise control (ACC) vehicle is presented in this paper. The TM controller ultimately establishes a steady-state following distance behind a preceding vehicle to avoid collision, keeping account of acceleration limits, safe distance, and state constraints. The vehicle dynamics model is for continuous-time domain and captures the real dynamics of the sub-vehicle models for steady-state and transient operations. The ACC vehicle can execute the TM successfully and achieves a steady-state in the presence of complex dynamics within the constraint boundaries.     

Optimization and integration of ground vehicle systems

This article deals with the optimal design of ground vehicles and their subsystems, with particular reference to 'active' safety and comfort. A review of state-of-the-art optimization methods for solving vehicle system design problems, including the integration of electronic controls, is given, thus further encouraging the use of such methods as standard tools for automotive engineers. Particular attention is devoted to the class of methods pertaining to complex system design optimization, as well as approaches for the optimal design of complex systems under uncertainty. Some examples of design optimizations are given in the fields of vehicle system dynamics, powertrain/internal combustion engine design, active safety and ride comfort, vehicle system design and lightweight structures, advanced automotive electronics, and smart vehicles.     

汽车制动防抱死系统的检测与维修

本文重点介绍了汽车制动防抱死系统（ABS）检修时注意事项、基本维修程序及常见故障的检修技巧等维修经验。     

五轴混动汽车电子差速控制策略研究

随着新能源汽车的深入研发,电机驱动控制技术的要求也越来越高,文章主要针对多轴增程式混合动力汽车驱动控制策略进行研究,提出电机驱动控制器设计架构以及电子差速控制策略,通过仿真以及实车测试对文章所提出的驱动控制策略进行验证.