基于多体模型的汽车底盘分级式综合控制仿真研究

运用多体理论建立了电动助力转向系统和主动悬架系统的模型,以及整车动力学模型。根据车辆行驶过程中转向、悬架和制动系统之间的耦合关系,设计了中央控制器,对各子系统进行协调控制。针对EPS、ASS和ABS各子系统分别采用了PD控制、PID控制和滑模变结构控制,构成底层分级综合控制系统。仿真结果表明:将多体模型运用在汽车底盘集成控制研究中是方便可行的;采用分级式综合控制比单独控制,能更有效地改善整车的综合性能。     

信息网络技术 驱动汽车底盘控制系统的未来

如今汽车底盘控制技术正向电子化、信息化、网络化、集成化方向发展.汽车底盘系统是一个有机整体,随着车辆底盘系统复杂程度及人们对车辆性能要求的日益提高,单系统的控制已经无法兼顾整车性能的提高.汽车底盘动力学集成控制,因有着传统控制无法比拟的优点,成为国际汽车研究领域的热点问题之一.越来越多的新电子控制设备被应用于汽车上,其...     

汽车底盘系统分层式协调控制

随着我国汽车底盘综合控制系统的快速发展,对其进行综合控制的研究已成为当务之急。为了让汽车底盘系统分层式协同控制设计更加合理,从而提升汽车底盘系统的控制能力,本文将着重对底盘各系统之间的关系进行了讨论,之后对汽车底盘系统分层式协同控制展开了较为详尽的论述,以期为汽车底盘系统的设计提供重要参考。     

汽车底盘电控系统集成控制策略研究

汽车底盘电控系统作为整个汽车系统的重要组成部分,其电控系统控制策略会直接影响汽车的行驶安全性与稳定性。而集成控制策略在汽车底盘电控系统中的应用可以有效保障汽车行驶安全性与性能。本文通过对汽车底盘电控系统架构进行分析,探索出汽车底盘电控系统集成控制策略,并通过集成控制在采埃孚车辆底盘电控系统与某汽车底盘电控系统中的应用案例分析,明确集成控制策略在实践中的应用效果与价值,可以为汽车底盘电控系统集成控制的研究与实践提供借鉴与参考。     

面向主动安全的汽车底盘集成控制策略

研究主动安全的汽车底盘集成控制策略，可以提高汽车的行驶稳定性、操控性和安全性。主要介绍了汽车底盘的概念及其在汽车安全中的重要性，探讨目前主动安全系统在汽车底盘控制中的应用，并分析了现有控制策略存在的问题和局限性。针对面向主动安全的底盘集成控制策略提出研究方向，包括传感器数据融合、底盘系统的动态调整和主动干预控制等。强调该领域的研究对于提高汽车主动安全性的重要性，并对未来的发展和挑战进行展望。     

分布式驱动电动汽车底盘集成控制技术综述

分布式驱动电动汽车可控自由度高、响应速度快、底盘线控集成度高、车辆结构紧凑，是实现先进车辆动力学控制技术的最佳平台。线控转向系统、线控驱动/制动系统、线控悬架系统等线控系统，制动防抱死系统、车道保持系统、自适应巡航系统、变道辅助系统等不同等级的辅助驾驶系统的广泛使用，造成车辆底盘控制中出现冗余及冲突。分布式驱动结构形式为多线控系统及线控系统与辅助驾驶系统间的高效、协同控制带来了更大的可能。基于此，从集成控制策略架构、纵-横向动力学集成控制、横-垂向动力学集成控制、纵-垂向动力学集成控制、纵-横-垂向动力学集成控制、容错控制、分布式驱动智能电动汽车底盘动力学集成控制等方面重点阐述分布式驱动电动汽车底盘集成控制技术的最新进展。通过对文献分析总结可以看出：基于分层式控制架构的分布式驱动电动汽车动力学集成控制是当前研究重点；一体化集成控制目标、高级辅助驾驶系统与底盘控制系统深度融合及个性化集成控制等问题亟待解决。研究成果能为分布式驱动电动汽车底盘高性能集成控制技术发展提供参考。     

新一代线控底盘集成控制策略研究

针对汽车稳定性控制,提出了一种基于线控转向和线控制动的新一代底盘集成控制策略。分别设计制造了线控制动、线控转向系统样机,建立了相应的动力学模型。应用模型预测控制,设计了基于主动前轮转角调节和主动制动力调节的底盘集成控制系统。设计了针对目标汽车的底盘集成控制硬件在环试验台,并进行了典型工况测试试验。结果表明,本文所设计的控制策略可有效使汽车跟随期望状态,保证车辆行驶的稳定性,提升车辆的综合性能。     

多智能体理论在车辆底盘集成控制中的应用

针对目前车辆底盘各子系统协调控制的不足,提出了一种基于多智能体(Multi-Agent)理论的底盘集成控制技术.针对半主动悬架、电动助力转向、轮胎、故障诊断等智能体的属性和特点,利用分层递阶控制方法结合多智能体理论,建立了集成系统协调求解机制,解决了半主动悬架和电动助力转向的匹配和协调控制问题,为车辆底盘系统的集成控制提供了一种新的理论方法和途径.     

《汽车工程》专题:智能底盘技术征稿邀请EI北大核心CSCD

随着汽车电动化持续深入与智能化不断渗透,汽车底盘迎来了从传统底盘到电动底盘再到智能底盘的技术变革,也引发了诸多底盘技术创新,智能底盘与自动驾驶系统等的一体化集成设计、面向高级别自动驾驶的底盘子系统设计与控制、面向自动驾驶的底盘多域融合架构设计与协同控制、智能电动底盘开发与测试评价等技术成为汽车领域新的研究热点。     

汽车底盘新技术

本文重点介绍了一些最新的汽车底盘技术,包括BBW、ESP、AFS、RWS、ABC、CDC、FOUR-C等,阐述它们的结构组成和基本工作原理,并且描述未来底盘技术的发展方向。随着中国汽车工业的发展,消费者开始关注汽车底盘性能的各方面,包括安全性、电子新技术应用、新材料和新工艺等,并对汽车底盘技术提出了更高要求。目前汽车底盘新技术主要包括线控制动系统、转向控制系统、主动悬架控制系统、底盘线控系统和连续控制底盘系统。最新研究和发     

Experimental modeling of controlled suspension vehicles from onboard sensors

In this article, identification of vertical dynamics of vehicles with controlled suspensions is considered. Identification is performed from experimental data measured on a four-poster bench test of a segment C car, equipped with a CDC-Skyhook dampers control system. The measurements are obtained from the onboard accelerometers needed by the control system. A nonlinear model in regression form is identified, having the road profile and damper control currents as inputs and chassis accelerations as outputs. The model is identified by means of a set membership structured identification method, which takes advantage of physical information on the structure of the system, decomposing the system into three subsystems: one represents the chassis and engine and the other two represent the overall behavior of front and rear suspensions, wheels and tires. This decomposition allows us to avoid the complexity accuracy problems derived from the high dimension of required regression space. Indeed, the overall high-dimensional identification problem is reduced to the identification of lower dimensional subsystems and to the estimation of their interactions. An iterative scheme is used for solving the decomposed identification problem. As the chassis pitch is small for the usual road profiles, the chassis-engine block is considered linear and standard linear methods are used for its identification. The other two subsystems are the main sources of nonlinearities in the system, mainly due to the significant nonlinearities of controlled dampers and of tires. Owing to the complexity/accuracy problems of a physical modeling of these subsystems, an input–output approach is taken. In particular, a nonlinear set membership method that does not require the search of the functional form of involved nonlinearities is used for the identification of these subsystems. The iterative algorithm converged in two iterations to a model providing a quite satisfactory simulation accuracy for all the considered road profiles and CDC-Skyhook settings.     

Experimental modeling of controlled suspension vehicles from onboard sensors

In this article, identification of vertical dynamics of vehicles with controlled suspensions is considered. Identification is performed from experimental data measured on a four-poster bench test of a segment C car, equipped with a CDC-Skyhook dampers control system. The measurements are obtained from the onboard accelerometers needed by the control system. A nonlinear model in regression form is identified, having the road profile and damper control currents as inputs and chassis accelerations as outputs. The model is identified by means of a set membership structured identification method, which takes advantage of physical information on the structure of the system, decomposing the system into three subsystems: one represents the chassis and engine and the other two represent the overall behavior of front and rear suspensions, wheels and tires. This decomposition allows us to avoid the complexity accuracy problems derived from the high dimension of required regression space. Indeed, the overall high-dimensional identification problem is reduced to the identification of lower dimensional subsystems and to the estimation of their interactions. An iterative scheme is used for solving the decomposed identification problem. As the chassis pitch is small for the usual road profiles, the chassis-engine block is considered linear and standard linear methods are used for its identification. The other two subsystems are the main sources of nonlinearities in the system, mainly due to the significant nonlinearities of controlled dampers and of tires. Owing to the complexity/accuracy problems of a physical modeling of these subsystems, an input-output approach is taken. In particular, a nonlinear set membership method that does not require the search of the functional form of involved nonlinearities is used for the identification of these subsystems. The iterative algorithm converged in two iterations to a model providing a quite satisfactory simulation accuracy for all the considered road profiles and CDC-Skyhook settings.     

Improved Vehicle Performance Using Combined Suspension and Braking Forces

This work presents a preliminary investigation into the integration of particular subsystems of an automobile's chassis. The specific focus of this research is the integration of Active Suspension components with Anti-Lock braking (ABS) mechanisms. The performance objective for the integrated approach is defined as a reduction in braking distance over just anti-lock brakes. Several models, of varying degrees of complexity, are presented to determine the effect of modeling accuracy on the potential performance improvement. In the most detailed model, a four degree of freedom Half Car vehicle model is developed along with models for a hydraulic Active Suspension and an ABS system. For both subsystems, actuator dynamics are included. The tire-road interface is modeled using the Magic Formula tire model. Individual controllers are developed for the subsystems and a governing algorithm is constructed to coordinate the two controllers. Simulations of the integrated controller and an ABS system, for each system model, demonstrate a significant increase in performance.     

汽车底盘集成控制综述

介绍汽车底盘集成控制的控制目标、现状、两种基本结构以及相关的控制方法,比较了这两种结构的优缺点,指出协调控制更适合汽车工业的发展,提出实现底盘集成控制需要解决的3个关键技术。     

汽车底盘控制技术的现状和发展趋势

电子控制系统在汽车底盘技术中的广泛应用极大地改善了汽车的主动安全性。常见的底盘控制系统可分为制动控制、牵引控制、转向控制和悬挂控制。介绍通过高速网络将各控制系统联成一体形成的全方位底盘控制(GCC),汽车开放性系统构架工程(AUTOSAR)和底盘的线控技术(X-by-w ire)。     

机械式前轮主动转向系统的原理与应用

以宝马轿车上选装的主动转向系统为例,详细介绍了该系统的组成、双行星齿轮机构的结构及工作模式,以及该系统可变传动比、稳定车辆等功能的实现原理和系统安全性设计。指出通过与其他动力学控制系统一起实现底盘一体化集成控制将是主动转向技术未来的发展方向。     

电子技术在汽车工业中的应用与发展趋势

简要地介绍了现代电子技术在汽车制动防抱死系统与驱动防滑系统、汽车动态控制系统与电子制动力分配系统、汽车电控悬架、汽车电控动力转向系统、安全气囊、门锁紧急施放系统与GPS救援系统等方面的应用情况,阐述了汽车电子技术的发展趋势。     

Heuristic resource allocation and scheduling method for distributed automotive control systems

This paper presents a heuristic resource allocation and scheduling method, which is based on an integrated architecture that enables multiple missions to be embedded in a single electronic control unit (ECU) and a single mission to be distributed over multiple ECUs. The proposed design method is composed of resource(e.g. task and message) allocation, scheduling, and attribute assignments. From a given target application’s task graph, the method generates a scheduling table specifying the release, start, and completion timings of tasks and messages. After that, all relevant attributes(e.g. priority of tasks and messages) are automatically assigned. In order to guarantee the functional and temporal requirements of target applications, design constraints such as the worst case response time, deadline, precedence relations, and physical limitations are concurrently considered. A chassis control system consisting of electronic stability control, an electro-mechanical brake, continuous damping control, and electronic air suspension is employed for evaluating the proposed method. The conventional chassis control system which is composed of seven ECUs was redesigned by only four ECUs without the degradation of control performance. Consequently, it is expected that the development time and production cost of distributed automotive control systems can be significantly reduced by the proposed design method.     

汽车属盘线挖技术的应用及发展趋势

现代汽车控制技术正朝着线控的方向发展，线控系统将取代以液压、气压和机械为主的传统控制系统。本文介绍了汽车底盘线控技术的研究现状，着重介绍了线控制动和线控转向系统的结构组成和性能特点，并提出线控技术的发展趋势。     

汽车底盘线控技术的应用及发展趋势

现代汽车控制技术正朝着线控的方向发展,线控系统将取代以液压、气压和机械为主的传统控制系统。本文介绍了汽车底盘线控技术的研究现状,着重介绍了线控制动和线控转向系统的结构组成和性能特点,并提出线控技术的发展趋势。