汽车弯道制动试验响应分析

汽车弯道制动是一种危险而复杂的工况，其复杂性表现在影响因素多和评价方法两方面。文中通过试验，分析了影响汽车弯道制动性能的主要因素。从试验结果来看，用稳定性和偏移量两个评价指标，可以较全面评价汽车弯道制动性能。     

多参数检测下载货汽车制动过程危险状态辨识

制动系统相关故障和行车间距不足是导致载货汽车追尾和侧翻事故的主要原因，通过制动危险状态及其影响因素的分析，搭建车辆在途状态检测装置，获取载货汽车载荷、车速、制动系统状态数据；基于传感器数据进行了制动蹄片磨损程度异常、制动蹄片温度异常状态和制动灯故障等单参数制动危险状态辨识；通过对制动过程中车辆进行动力学分析，建立了多参数制动距离计算模型，为标定模型参数，设计并完成了车辆滑行试验；通过仿真及实车试验，对载货汽车制动距离模型的有效性进行了验证。基于多参数制动距离模型，提出了一种检测载货汽车制动过程中的危险状态的方法。     

半挂汽车列车弯道制动效能分析

利用简化的半挂汽车列车弯道制动力学模型，分析了车辆参数，使用因素对汽车弯道制动效能的影响，并用实车弯道制动效能试验进行了验证。     

平板式检测系统在汽车性能测试研究中的应用

介绍了平板式车辆检测系统的基本结构和功能，以典型的VAMAG系统为例，对平板式车辆检测系统在汽车制动性能、悬架减振性能和整车质心高度及簧上质量纵向转动惯量等性能指标测试中的作用作了分析说明，并给出了实车试验结果，研究表明，平板式车辆检测系统可为汽车综合性能测试研究提供新的方法。     

利用汽车制动性能分析下行高速公路平纵设计指标

从汽车制动性能出发,通过对汽车下坡制动功能转换的分析,提出从汽车制动功能角度来考虑下坡纵断面设计极限值的计算模型和试验方法;通过对汽车在下坡转弯处制动的力学分析,提出从计算制动侧滑值的角度来计算下坡平曲线处的极限值。     

中重型商用车装用ABS对制动器热衰退的影响

分析了中重型商用车装用ABS系统对制动器抗热衰退性能的影响,并结合实车试验结果分析,提出了装用ABS的制动系统时,应尽可能的采用高热容量的制动器和辅助制动系统等建议。     

机器人在车辆制动试验中的应用

介绍运用制动机器人,按照GB/T 12534-1990 《汽车道路试验方法通则》和GB 12676-1999 《汽车制动系统结构、性能和试验方法》规定,对某型汽车在安装制动机器人后进行制动试验,并对制动试验数据进行测量、计算、分析、比较。试验结果分析表明,安装制动机器人后的试验数据准确度和重复性都有了很大提高,达到研发要求。本文为提高汽车试验自动化水平、缩短试验时间、降低试验成本、提高试验精度提供了一种切实有效的方法。     

并行再生制动系统控制器的设计与开发

分析了混合动力汽车再生制动系统的特点及其应用前景,提出了一种基于并行控制的再生制动控制策略;针对某款并联式混合动力轿车,采用并行再生制动控制策略,进行了制动控制器的软硬件开发;搭建了硬件在环仿真试验系统对控制器进行了硬件在环仿真验证,并对控制器进行了实车测功机试验和实车道路试验。试验结果表明:该控制器运行稳定、可靠,整车平均制动能量回收效率达15%左右,显著提高了汽车的能源利用效率。     

直拉杆与板簧运动干涉对制动跑偏的影响分析

直拉杆与板簧的运动干涉是汽车设计中无法避免的问题,当干涉量过大时会造成制动跑偏。本文在一系列假设的前提下,综合考虑板簧纵扭,几何干涉,找到一种粗略的估算这种运动干涉对制动跑偏的影响的方法,并根据两个典型车型的数据进行验证计算,结论与实车状态一致。     

某轻型载货汽车制动性能分析与改进设计

将某轻型载货汽车制动系统中前制动器改为盘式制动器,对采用不同配置制动系统的整车进行路试制动性能试验,结果表明制动性能得到很大改善.在该制动系统中加装制动力自动调节装置来调整前、后轮制动器的输入压力,并对改进设计后的整车制动性能进行实车道路试验.结果表明,该轻型货车制动力分配更加合理,制动性能明显提高,制动稳定性和安全性得到改善.     

低地板城市客车车身结构有限元分析

利用标准的CAE软件平台，对低地板城市客车车射结构进行数值建模和静动态特性分析，计算时考虑客车实际运行中出现的多种典型工况，如直线匀速行驶，路面高低不平出现单轮瞬间悬空、紧急制动及急转弯等工况，并详细讨论了相应载荷及边界条件的施加方法。     

Co-operative control for regenerative braking and friction braking to increase energy recovery without wheel lock

This paper presents a regenerative braking co-operative control algorithm to increase energy recovery without wheel lock. Considering the magnitude of the braking force available between the tire and road surface, the control algorithm was designed for the regenerative braking force at the front wheel and friction braking force at the rear wheel to be increased following the friction coefficient line. The performance of the proposed regenerative braking co-operative control algorithm was evaluated by the hardware in the loop simulation (HILS) with an electronic wedge brake on its front wheels and an electronic mechanical brake on its rear wheels. The HILS results showed that a proper braking force on the front and rear wheels on a low μ road prevented the lock of the front wheels that was connected to the motor, and maintained the regenerative braking and increased energy recovery.     

Cooperative control of the motor and the electric booster brake to improve the stability of an in-wheel electric vehicle

A cooperative control algorithm for an in-wheel motor and an electric booster brake is proposed to improve the stability of an in-wheel electric vehicle. The in-wheel system was modeled by dividing it into motor and mechanical parts, and the electric booster brake was modeled through tests. In addition, the response characteristics of the in-wheel system and the electric booster brake were compared through a frequency response analysis. In the cooperative control, the road friction coefficient was estimated using the wheel speed, motor torque, and braking torque of each wheel, and the torque limit of the wheel to the road was determined using the estimated road friction coefficient. Based on the estimated road friction coefficient and torque limit, a cooperative algorithm to control the motor and the electric booster brake was proposed to improve the stability of the in-wheel electric vehicle. The performance of the proposed cooperative control algorithm was evaluated through a hardware-in-the-loop simulation (HILS). Furthermore, to verify the performance of the proposed cooperative control algorithm, a test environment was constructed for the anti-lock braking system (ABS) hydraulic module hardware, and the performance of the cooperative control algorithm was compared with that of the ABS by means of a HILS test.     

Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation

This paper presents a regenerative anti-lock braking system control method with road detection capability. The aim of the proposed methodology is to improve electric vehicle safety and energy economy during braking maneuvers. Vehicle body longitudinal deceleration is used to estimate a road surface. Based on the estimation results, the controller generates an appropriate braking torque to keep an optimal for various road surfaces wheel slip and to regenerate for a given motor the maximum possible amount of energy during vehicle deceleration. A fuzzy logic controller is applied to fulfill the task. The control method is tested on a four in-wheel-motor drive sport utility electric vehicle model. The model is constructed and parametrized according to the specifications provided by the vehicle manufacturer. The simulation results conducted on different road surfaces, including dry, wet and icy, are introduced.     

New Control Technique for Maximizing Braking Force on Antilock Braking System

In this paper, we propose a new control strategy for an antilock braking system (ABS) to maintain the braking force at maximum. The popularization of the ABS that prevents the wheels from locking has resulted in an improvement of the vehicle stability and shortening of the braking distance. Further improvement is anticipated if the maximization of the braking force is realized. We found an interesting phenomenon in which the characteristics of the resonance system composed of the vehicle body and the wheel and road surface reflects the slip condition of the road surface. Using this phenomenon, we realized a control method for maintaining the maximum value of the braking force.     

New Control Technique for Maximizing Braking Force on Antilock Braking System

In this paper, we propose a new control strategy for an antilock braking system (ABS) to maintain the braking force at maximum. The popularization of the ABS that prevents the wheels from locking has resulted in an improvement of the vehicle stability and shortening of the braking distance. Further improvement is anticipated if the maximization of the braking force is realized. We found an interesting phenomenon in which the characteristics of the resonance system composed of the vehicle body and the wheel and road surface reflects the slip condition of the road surface. Using this phenomenon, we realized a control method for maintaining the maximum value of the braking force.     

制动器台试减速度评定及制动衬片摩擦系数允差的确定

本文分析了制动器台试减速度允差评定方法，为了有效制动和改善轿车制动稳定性，讨论了摩擦材料的摩擦系数与制动减速度和前后制动分配比的关系，根据设计要求之制动减速度和制动力分配比，提供摩擦系数计算方法和顺序，用于合理确定台试时的摩擦系数允差，本文可供制动器设计和摩擦材料选用作参考。     

A practical identifier design of road variations for anti-lock brake system

Emergency brake technologies have always been a major interest of vehicle active safety-related studies. On homogeneous surfaces, traditional anti-lock brake system (ABS) can achieve efficient braking performance and maintain the handling capability as well. However, when road conditions are time variant during the braking process, or different at the bilateral wheels, braking stability performance is likely to be degraded. To address this problem and enhance ABS performances, a practical identifier of road variations is developed in this study. The proposed identifier adopts a statechart-based approach and is hierarchically constructed with a wheel layer and a full vehicle layer identifier. Based on the identification results, modifications are made to a four-phase wheel-behaviour-based ABS controller to enhance its performance. The feasibility and effectiveness of the proposed identifier in collaborating with the modified ABS controller are examined via simulations and further validated by track tests under various practical braking scenarios.     

随机不平路面上的ABS制动研究

在ADAMS中建立整车和各种等级随机不平路面的模型,在MATLAB/simu link中建立逻辑门限值ABS控制方法,利用联合仿真技术研究随机不平路面对ABS的影响,得到随机不平路面上ABS制动过程中轮胎纵向力、角速度和制动距离等重要参数的变化规律,为ABS在随机不平路面上的抗干扰措施提供依据。     

防抱制动系统控制算法的仿真研究

本文用要平面法分析了目前汽车上广泛使用的Ｐ１Ｒ３逻辑控制算法在不同条件下的收敛性，因这种算法只能使车轮的滑移率在μ－Ｓ曲线的峰值点变化，故采用逻辑控制的ＡＢＳ系统不能充分发挥它的最佳效能，本文进一步通过仿真研究了基于滑移率Ｓ的控制算法，并根据逻辑控制和滑移率控制的缺陷，提出了基于路面附着系数μ的控制算法，在理想状态下的证实了所提算法的有效性。