汽车滚翻事故的再现分析方法

汽车滚翻事故的再现分析是一个复杂的过程,需要仔细考察汽车滚翻过程的3个阶段,包括侧滑阶段、侧翻阶段和翻滚阶段.论述了各阶段再现分析常用的模型和方法,介绍了一般计算方法或再现步骤,以及二维和三维再现的目标和技术要点,使用计算机辅助事故再现.再现分析滚翻事故中汽车运动过程及其瞬时速度和空间姿态,能够为事故处理和责任认定提供科学依据,并有助于改进车身机构和车内被动安全装置的设计.     

基于主动转向技术的汽车防侧翻控制的研究

以汽车2自由度模型作为参考模型，建立了一种汽车防侧翻的控制方法。该方法采用主动转向技术来改变转向轮的转向角度，有效地减少了汽车的侧向加速度，提高了汽车的防侧翻的能力。在8自山度汽车动力学模型的基础上，运用主动转向技术的控制策略进行了汽车的性能仿真分析。与末采用汽车防侧翻控制系统的汽车动力学分析结果相比，汽车的主动安全性得到了增强。     

基于模糊差动制动的运动型多功能汽车防侧翻控制

为了提高SUV高速紧急操纵下防侧翻性能,提出了基于模糊差动制动控制的防侧翻控制策略.研究中考虑轮胎非线性因素的影响,建立了4自由度非线性汽车侧翻模型,并通过横向载荷转移率负反馈设计了参数自整定的模糊PID控制器,以驱动电控机械制动系统(EMB)产生抗横摆力矩防止汽车侧翻.典型工况下的算例分析结果表明,该控制策略能充分发挥EMB响应快的特性,防止SUV高速紧急操纵下侧翻.     

铰接车辆转向侧翻过程仿真

建立了铰接式车辆转向侧翻过程的数学模型,根据铰接式车辆在转向侧翻过程中的一些重要特性,研究和分析了铰接车辆侧翻的影响参数,通过过程仿真,获得了实现铰按车辆安全转向的车速临界值.     

自卸车举升作业防侧翻预警系统设计

分析研究自卸车举升作业侧翻机理,运用牛顿力学理论,以横向坡度角、轮胎变形角、悬架变形角、车架变形角、货厢扭转角和货厢举升角等作为自卸车举升作业侧翻评价参数,建立自卸车举升防侧翻预警模型。以该防侧翻预警模型为基础,开发出自卸车举升作业防侧翻预警系统的软件和硬件。最后将此套防侧翻预警系统装车试验,验证系统具有较高的精度与可靠性,可以在自卸车举升作业发生侧翻前发出报警,提高自卸车举升作业的安全性。     

一种改进的汽车侧翻模型及其应用研究

为了改善汽车的抗侧翻性能,建立了考虑悬架和轮胎侧向变形影响的一种改进的汽车侧翻模型,并基于该模型,提出了一种关于弹簧刚度和减振器阻尼的调整策略.通过对某一款SUV的仿真试验验证了该调整策略的有效性,同时还研究了前轮外倾角和前束角对侧翻倾向的影响.     

主动悬架系统对汽车侧翻稳定性的改善分析

针对被动悬架系统侧翻稳定性较差的问题,提出采用主动悬架系统的方法进行改善.通过汽车侧倾运动状态分析,建立了被动悬架系统、主动悬架系统和控制系统模型.模拟分析表明,主动悬架系统使汽车在弯道行驶时的侧倾角有效值下降92.8%,侧倾角加速度有效值下降78.2%,侧翻因子有效值下降92.6%.结果表明,利用主动悬架系统可有效降低汽车非直线行驶时的侧倾角及侧倾角加速度,提高汽车的侧翻稳定性,采用主动悬架系统是提高汽车非直线行驶状态下安全性的一个合理的解决方案.     

基于车辆动态控制的防侧翻方法分析研究

本文基于49CFR Part 575法规对车辆防侧翻评价指标进行初步探索,并利用CarSim软件建立具有高质心特性的SUV车辆模型,对车身、制动系统、转向系统、轮胎及悬架等子模块进行了定义,完成非线性动力学模型的建立,结合汽车动态控制系统,建立车辆防侧翻控制策略,同时,利用CarSim与Matlab/Simulink进行联合仿真,模拟SUV在极限工况Fishhook环境下的工作情况,验证防侧翻的作用效果,结果表明:防侧翻策略有效的减小了侧向加速度,使得车辆的抗侧翻能力有所增强,汽车的安全性与稳定性得到了有效的保证,为实车试验提供科学依据。     

侧翻试验台事故分析研究

针对侧翻试验台在试验过程中出现的倾翻事故,分析了事故发生的原因,提出了侧翻试验台整改的恢复方案,为汽车侧翻安全稳定性的检测工作提供了有利的参考。     

基于仿真分析的汽车侧翻风险研究

侧翻事故是汽车产品缺陷可能引发的一种典型风险.文中应用ADAMS软件建立仿真模型,模拟车辆侧翻事故过程以研究其发生机理,并通过正交试验分析了侧翻风险与其主要影响因素之间的关系.     

基于制动与悬架系统的车辆主动侧翻控制的研究

为提高车辆抗侧翻能力,建立了10自由度整车侧翻动力学模型,应用车辆动力学和轮胎力耦合特性,提出了一种基于差动制动和半主动悬架协同工作的车辆主动抗侧翻控制策略。通过对制动力矩的差动调节和半主动悬架阻尼力的适时匹配,实现对车辆侧翻的有效控制。根据子系统运动特性,设计了制动系统基于滑移率的积分滑模控制器和悬架系统灰模糊控制器。分别对制动、悬架控制及综合控制进行的鱼钩试验仿真结果表明,综合控制策略可有效降低危险时域车辆的侧倾角,相对于单一系统控制进一步提高了车辆抗侧翻能力。     

Stability and optimised H∞ control of tripped and untripped vehicle rollover

Vehicle rollover is a serious traffic accident. In order to accurately evaluate the possibility of untripped and some special tripped vehicle rollovers, and to prevent vehicle rollover under unpredictable variations of parameters and harsh driving conditions, a new rollover index and an anti-roll control strategy are proposed in this paper. Taking deflections of steering and suspension induced by the roll at the axles into consideration, a six degrees of freedom dynamic model is established, including lateral, yaw, roll, and vertical motions of sprung and unsprung masses. From the vehicle dynamics theory, a new rollover index is developed to predict vehicle rollover risk under both untripped and special tripped situations. This new rollover index is validated by Carsim simulations. In addition, an H-infinity controller with electro hydraulic brake system is optimised by genetic algorithm to improve the anti-rollover performance of the vehicle. The stability and robustness of the active rollover prevention control system are analysed by some numerical simulations. The results show that the control system can improve the critical speed of vehicle rollover obviously, and has a good robustness for variations in the number of passengers and longitude position of the centre of gravity.     

Investigation into untripped rollover of light vehicles in the modified fishhook and the sine maneuvers. Part I: Vehicle modelling, roll and yaw instability

Vehicle rollovers may occur under steering-only maneuvers because of roll or yaw instability. In this paper, the modified fishhook and the sine maneuvers are used to investigate a vehicle's rollover resistance capability through simulation. A 9-degrees of freedom (DOF) vehicle model is first developed for the investigation. The vehicle model includes the roll, yaw, pitch, and bounce modes and passive independent suspensions. It is verified with the existing 3-DOF roll-yaw model. A rollover critical factor (RCF) quantifying a vehicle's rollover resistance capability is then constructed based on the static stability factor (SSF) and taking into account the influence of other key dynamic factors.

Simulation results show that the vehicle with certain parameters will rollover during the fishhook maneuver because of roll instability; however, the vehicle with increased suspension stiffness, which does not rollover during the fishhook maneuver, may exceed its rollover resistance limit because of yaw instability during the sine maneuver. Typically, rollover in the sine maneuver happens after several cycles.

It has been found that the proposed RCF well quantifies the rollover resistance capability of a vehicle for the two specified maneuvers. In general, the larger the RCF, the more kinetically stable is a vehicle. A vehicle becomes unstable when its RCF is less than zero. Detailed discussion on the effects of key vehicle system parameters and drive conditions on the RCF in the fishhook and the sine maneuver is presented in Part II of this study.     

Vehicle dynamic estimation with road bank angle consideration for rollover detection: theoretical and experimental studies

This article describes a method of vehicle dynamics estimation for impending rollover detection. This method is evaluated via a professional vehicle dynamics software and then through experimental results using a real test vehicle equipped with an inertial measurement unit. The vehicle dynamic states are estimated in the presence of the road bank angle (as a disturbance in the vehicle model) using a robust observer. The estimated roll angle and roll rate are used to compute the rollover index which is based on the prediction of the lateral load transfer. In order to anticipate the rollover detection, a new method is proposed in order to compute the time-to-rollover using the load transfer ratio. The used nonlinear model is deduced from the vehicle lateral dynamics and is represented by a Takagi–Sugeno (TS) fuzzy model. This representation is used in order to take into account the nonlinearities of lateral cornering forces. The proposed TS observer is designed with unmeasurable premise variables in order to consider the non-availability of the slip angles measurement. Simulation results show that the proposed observer and rollover detection method exhibit good efficiency.     

Analysis of vehicle rollover dynamics using a high-fidelity model

Recent data show that 35% of fatal crashes in sport utility vehicles included vehicle rollover. At the same time, experimental testing to improve safety is expensive and dangerous. Therefore, multi-body simulation is used in this research to improve the understanding of rollover dynamics. The majority of previous work uses low-fidelity models. Here, a complex and highly nonlinear multi-body model with 165 degrees of freedom is correlated to vehicle kinematic and compliance (K&C) measurements. The Magic Formula tyre model is employed. Design of experiment methodology is used to identify tyre properties affecting vehicle rollover. A novel, statistical approach is used to link suspension K&C characteristics with rollover propensity. Research so far reveals that the tyre properties that have the greatest influence on vehicle rollover are friction coefficient, friction variation with load, camber stiffness and tyre vertical stiffness. Key K&C characteristics affecting rollover propensity are front and rear suspension rate, front roll stiffness, front camber gain, front and rear camber compliance and rear jacking force.     

Contour line of load transfer ratio for vehicle rollover prediction

For vehicle rollover control systems, an accurate and predictive rollover index is necessary for a precise rollover threat detection and rollover prevention. In this paper, the contour line of load transfer ratio (CL-LTR) and the CL-LTR-based vehicle rollover index (CLRI) are proposed, describing LTR threshold and LTR change rate precisely, providing an accurate prediction of vehicle rollover threat. In detail, the CL-LTR is proposed via the roll dynamics phase plane analysis, and its analytical solution of one-degree-of-freedom vehicle roll model and extension for full vehicle are derived. Moreover, the predictive CLRI is proposed and evaluated via vehicle dynamics study. The results demonstrate that vehicle rollover threat is predicted accurately based on the CLRI, which shows benefits for the vehicle rollover prediction and stability control.     

Roll Dynamics of Commercial Vehicles

An analytical model is developed here for studying the roll dynamics of commercial vehicles. Large displacements and rotations are accounted for in this nonlinear model so that it can be used for the study of roll dynamics well beyond the limits of wheel lift-off. The model is used to illustrate some of the dynamic phenomena in vehicle rollover, especially the interactive coupling between the roll and the vertical modes of motion. The influence of suspension backlash on rollover resistance is demonstrated, and the phenomenon of roll motion resonance is illustrated to suggest new means for evaluating vehicle rollover sensitivity.     

Coordinated control strategies for active steering,differential braking and active suspension for vehicle stability,handling and safety improvement

ABSTRACT

In this paper, a coordinated control strategy is proposed to provide an effective improvement in handling stability of the vehicle, safety, and comfortable ride for passengers. This control strategy is based on the coordination among active steering, differential braking, and active suspension systems. Two families of controllers are used for this purpose, which are the high order sliding mode and the backstepping controllers. The control strategy was tested on a full nonlinear vehicle model in the environment of MATLAB/Simulink. Rollover avoidance and yaw stability control constraints have been considered. The control system mainly focuses on yaw stability control. When rollover risk is detected, the proposed strategy controls the roll dynamics to decrease rollover propensity. Simulation results for two different critical driving scenarios, the first one is a double lane change and the other one is a J-turn manoeuvre, show the effectiveness of the coordination strategy in stabilising the vehicle, enhancing handling and reducing rollover propensity.     

Rollover risk prediction of heavy vehicles by reliability index and empirical modelling

This paper focuses on a combination of a reliability-based approach and an empirical modelling approach for rollover risk assessment of heavy vehicles. A reliability-based warning system is developed to alert the driver to a potential rollover before entering into a bend. The idea behind the proposed methodology is to estimate the rollover risk by the probability that the vehicle load transfer ratio (LTR) exceeds a critical threshold. Accordingly, a so-called reliability index may be used as a measure to assess the vehicle safe functioning. In the reliability method, computing the maximum of LTR requires to predict the vehicle dynamics over the bend which can be in some cases an intractable problem or time-consuming. With the aim of improving the reliability computation time, an empirical model is developed to substitute the vehicle dynamics and rollover models. This is done by using the SVM (Support Vector Machines) algorithm. The preliminary obtained results demonstrate the effectiveness of the proposed approach.