刚柔耦合多体车辆操纵稳定性研究

利用多体动力学方法建立了基于ADAMS软件平台的整车刚柔耦合多体系统操纵动力学仿真分析模型。并分别对多刚体模型和刚柔耦合多体模型进行了“转向盘脉冲输入”、“ISO移线”仿真，分析了构件的柔性对汽车操纵稳定性的评价指标值的影响。     

汽车发动机曲轴扭振的多体动力学分析

采用结合有限元法(FEM)的多体系统仿真(MSS)方法对汽车发动机曲轴进行扭转振动分析。建立了包括柔性曲轴的车用发动机曲轴系统的多体动力学模型。根据多体动力学仿真计算结果,分析了曲轴的扭转振动,测量了曲轴自由端的扭转振动,与仿真计算结果吻合较好。     

汽车悬架多刚体动力学分析及九点控制

汽车机械系统的建模、分析与求解始终是动力学的关键问题,为快速准确地求解分析,文章借助多刚体系统动力学的拉格朗日法对汽车悬架进行分析,建立了基于多刚体系统动力学的主动悬架系统模型,并采用九点控制策略进行了理论分析和计算机仿真。仿真结果表明,以多刚体动力学方法同九点控制策略相结合的汽车悬架系统性能良好。     

汽车动力学特性仿真分析与ADAMS软件

章讨论了多体动力学的概念、方法在汽车设计领域中的应用，阐明了ADAMS软件的理论基础和计算、求解方法及其应用于整车系统动力学特性仿真模型建立，分析优化的关键步骤和原则。     

双轴转向8×4货车多体动力学仿真分析及系统开发

以多体系统动力学理论为基础,建立了双轴转向8×4货车的多体系统动力学模型,建模过程中考虑了弹簧、阻尼器以及橡胶衬套的非线性特性,并以ADAMS软件为二次开发平台,建立了整车非线性多体动力学仿真分析系统,实现了以下功能:对双轴转向8×4货车整车模型的参数化自动建模功能;按照国标试验工况的自动仿真分析功能;符合汽车评价标准的仿真结果数据后处理功能。最后通过实车试验验证了模型的正确性,在此基础上进行了整车的随机输入平顺性分析。     

汽车制动颤振的研究

本文对汽车制动过程中产生的振动及噪声问题进行了分类，对汽车制动颤振问题的发生机理、研究方法和影响因素进行了分析：制动颤振的产生是由制动盘和摩擦衬片之间的粘滑运动造成的。制动颤振的研究方法主要分为试验研究和理论研究，理论研究又包含线性和非线性系统动力学方法、多体系统动力学方法和有限元法，其影响因素包括系统的摩擦因素、机械系统参数和动力传动系的参数等。研究制动颤振的产生机理、振源以及传递环节上各种参数的影响，对汽车制动系统的参数匹配和优化具有十分重要的指导意义。     

采用多体系统动力学的平衡悬架牵引车平顺性研究

采用多体系统动力学理论及相应软件ADAMS，对具有平衡悬架的3轴牵引车平顺性进行研究。建立了其多体系统动力学模型，并经过二次开发形成一套能够进行参数化自动建模的软件系统。对仿真模型进行时域、频域的仿真分析，并研究平衡悬架的一些主要设计参数对平顺性的影响。     

弹性元件对奥迪轿车前悬架力学特性及顺从性的影响

本文分析了奥迪１００轿车前悬架的结构特点，应用多体系统动力学理论和结构力学方法建立了设及导向构件和橡胶铰链弹性变形的悬架多体系统模型，并对其进行了计算分析。探讨了这两类变形元件对悬架力学特性和汽车顺从性的影响。     

用柔性多体动力学方法预测悬架对汽车转向特性的影响系数

利用柔性多体动力学方法建立了基于ADAMS软件平台的麦弗逊式独立悬架动力学仿真分析模型。并根据所建立的模型，对某轿车麦弗逊式前独立悬架的力变形特性进行了仿真和试验对比分析。通过仿真计算出了决定汽车不足转向度相关参数的相关系数。     

柔性体衬套模型对四连杆悬架K&C特性的影响

基于柔性多体系统动力学的基本思想,提出了一种充分考虑衬套在不同方向上刚度耦合的新柔性体悬架衬套模型.采用模态综合法计算出变形量,解算出衬套模态.然后生成模态中性文件,并导入ADAMS/Car中以建立四连杆悬架的刚柔耦合动力学模型,并进行仿真和实车试验.结果表明,所采用的衬套柔性体模型要比传统衬套模型更精确,能在设计阶段更真实地预测与分析汽车悬架的性能.     

8×4重型自卸车制动性能分析

以某8×4重型自卸车为分析对象,建立了四轴汽车的制动力学模型,对该车在满载、超载情况下进行各轴载荷的计算,前、中、后桥制动力矩和制动力分配分析,在此基础上,提出了多轴汽车的行车制动性能分析方法,并与该车制动性能O型试验结果数据进行对比。实例分析结果表明,该方法简单、实用,能对四轴汽车行车制动性能进行有效分析。     

基于虚拟迭代技术的中型货车驾驶室载荷谱的求取

某货车驾驶室疲劳载荷激励输入位置位于驾驶室与悬置连接处,在进行整车强化道路耐久试验时无法安装设备直接采集。为获取较为准确的驾驶室疲劳寿命分析载荷谱,对强化耐久路面下整车加速度响应信号进行虚拟迭代。虚拟迭代时需调用整车多体动力学模型,为提高整车模型精度,基于Craig-Bampton综合模态理论生成柔性体车架,建立刚柔耦合的整车多体动力学模型。将Femfat-lab与ADAMS/Car进行联合仿真计算,以白噪声为初始输入,求解刚柔耦合整车多体动力学模型的非线性传递函数,基于循环迭代原理,进行各种典型强化路况下驾驶室悬置附近加速度响应信号的虚拟迭代。利用时域信号对比法及损伤阈值法作为迭代收敛判据,获得满足精度需求的位移驱动信号。将位移驱动信号导入到ADAMS/Car中,对整车多体动力学模型进行驱动仿真,提取驾驶室疲劳分析所需激励载荷谱,将虚拟迭代求得的载荷谱用于疲劳寿命分析所得结果与驾驶室疲劳强化台架试验结果进行对比。研究结果表明：出现疲劳破坏的部位相同度达75%,疲劳寿命误差在20%左右,表明虚拟迭代过程中基于柔性体车架建立的刚柔耦合多体动力学模型的仿真计算,可获得较高精度的迭代结果;以位移谱驱动整车多体动力学模型进行仿真能够有效避免六分力直接驱动时模型翻转等不稳定现象,并且整车模型仿真加速度响应结果与实测相应位置加速度响应吻合度较高;相比于传统的疲劳分析载荷获取方法,虚拟迭代技术可以在较低试验成本的情况下获取较高精度的载荷谱,并能够提取由于连接位置导致的无法直接进行载荷测量部位的疲劳分析载荷。     

Handling qualities evaluation method based on actual driver characteristics

The present study proposes an objective handling qualities evaluation method using driver-in-the-loop analysis. The driving simulator experiments were performed for various driving conditions, drivers and vehicle dynamics. The response characteristics of the driver model and the closed-loop system were analyzed. The analysis revealed the driving strategies clearly, indicating the importance of closed-loop analysis. Using the identified driver model and its strategies, a cost function of the handling qualities was constructed. The cost function can be used to estimate the handling qualities analytically from the vehicle dynamics. The proposed method was validated by comparison with the handling qualities evaluation rated by the driver's comments.     

Handling qualities evaluation method based on actual driver characteristics

The present study proposes an objective handling qualities evaluation method using driver-in-the-loop analysis. The driving simulator experiments were performed for various driving conditions, drivers and vehicle dynamics. The response characteristics of the driver model and the closed-loop system were analyzed. The analysis revealed the driving strategies clearly, indicating the importance of closed-loop analysis. Using the identified driver model and its strategies, a cost function of the handling qualities was constructed. The cost function can be used to estimate the handling qualities analytically from the vehicle dynamics. The proposed method was validated by comparison with the handling qualities evaluation rated by the driver's comments.     

Model reduction in vehicle dynamics using importance analysis

Previous work by the authors developed a novel model reduction method, namely importance analysis, that offered a unique set of properties: concurrent dynamic and kinematic reduction, applicability to nonlinear systems, preservation of realisation, and trajectory dependence. This paper investigates the utility of importance analysis as a model reduction tool within the context of vehicle dynamics. To this end, a high-fidelity model of a High Mobility Multipurpose Wheeled Vehicle (HMMWV) is considered, and this model is reduced for three different scenarios. Reduction is achieved in both dynamics and kinematics while preserving the original definition and interpretation of state variables and parameters. Furthermore, the resulting reduced models are very different in terms of complexity, containing only what is necessary for their respective scenarios, and providing important insight and computational savings. The conclusion is that importance analysis can be an invaluable reduction tool in vehicle dynamics, offering the aforementioned unique set of properties.     

Sliding window method for vehicles moving on a long track

The rail is modelled as a simply supported beam in the vehicle–track coupled dynamics. The beam is formulated by a partial differential equation that is transformed into an ordinary differential equation by the method of mode superposition for numerical calculation. However, the size of the matrix that is formed by the mode-superposition method increases significantly with track length, which limits the calculation efficiency. Some methods have been developed to solve this calculation issue, but they diminish the merits of the vehicle–track coupled dynamics, which would systematically investigate the dynamics of a vehicle and a track from the entire vehicle–track system. A new method is developed to resolve this contradiction. First, a theory based on a sliding window is established to improve the computational stability with respect to the length and the window-movement ratio. Then, two methods, namely finite element method analysis and an analytical solution, are used to verify the accuracy of the new method, which is highly efficient when used in a vertical half-vehicle–track coupled model to calculate the vehicle response when the vehicle moves on a long track. The results of the vehicle response calculated with and without the sliding window show good consistency.     

Vehicle handling dynamics modelling by a data-driven identification method

Modelling of vehicle handling dynamics has received a renewed attention in recent years. Different from traditional vehicle modelling, a novel data-driven identification method for vehicle handling dynamics is proposed, which can avoid the problems of the under-modelling and parameter uncertainties in the first-principle modelling process. By first-order Taylor expansion, the nonlinear vehicle system can be linearised as a slowly linear time-varying system with fourth-order. In order to identify the derived identifiable model structure, a recursive subspace method is presented. Derived by optimal version of predictor-based subspace identification (PBSID_opt) and projection approximation subspace tracking (PAST), the identification method is numerical stability and gives an unbiased estimation for the closed-loop system. Based on standard road tests, the proposed modelling method is proven effective and the obtained model has good predictive ability. Additionally, it is noted that the model obtained from the initial phase of straight driving is just a mathematical model to describe the relationship between input and output. And when the vehicle is steering, the model can converge to a stable phase quickly and represent vehicle dynamic performance.     

基于模态应力恢复的汽车零部件虚拟疲劳试验方法

基于有限元模态分析、柔性多体动力学求解和疲劳寿命预测的相关理论,通过模态应力恢复得到了汽车零部件疲劳载荷历程,并将其应用于虚拟疲劳试验,解决了汽车设计过程中无法快速、准确预知零部件疲劳寿命的难题。该试验方法应用于某车双横臂独立前悬中的下横臂,在较短的时间内获得了该零件的预测疲劳寿命、寿命安全系数及危险部位等信息。结果表明该虚拟疲劳试验方法可作为汽车设计过程中的有效试验手段。     

Dynamic Stability of Vehicle Systems via Poincaré Maps

Computer simulations of a driven vehicle are performed to assess and quantify the automobile stability. The analytical methodology is based on PoincarS maps and Floquet theory, which are commonly used to investigate the stability of periodic systems. The approach accommodates the study of the complex dynamics of vehicle locomotion under various configurations of the system. The proposed method does not require any knowledge regarding the inner structure of the vehicle model. Kinematic data is simply collected at the specific instants to conduct the analysis. It is found that this method has the potential for real time warning and control of vehicle instabilities.     

动力总成悬置元件特性对整车振动的影响

本文建立了轿车整车动力学模型，通过仿真计算和实车测试分析了怠速工况下液压悬置和橡胶悬置元件对整车振动的影响。试验测试结果与理论计算结果基本吻合，证明所建模型与分析方法是正确的，可用于分析轿车动力学问题。