主动前轮转向的操纵稳定性研究

汽车的主动前轮转向作为汽车主动控制的一个重要组成部分,可以改善车辆的操纵稳定性;横摆角速度与质心侧偏角作为表征车辆操纵稳定性的2个主要指标,可以作为车辆处于稳定状态的参考。基于模型预测控制方法,在汽车线性二自由度模型的基础上,使用相同工况下理想的横摆角速度与质心侧偏角作为参考,设计了模型预测控制器,将二自由度汽车模型与CarSim整车模型进行了联合仿真。结果表明:模型预测控制方法相对PID控制方法更能有效地提高汽车的主动安全性。     

乘用车内饰四连杆机构设计探讨

为节约乘用车内部空间,提出了一种四连杆机构设计方法,以计算四连杆的杆长及改进桌板类机构,实现了所要求的闭合与开启位置。     

城市隧道纵向通风延迟效应的机理研究及影响因素分析

纵向隧道通风动态过程现场试验结果表明,当改变隧道射流风机的运行状态后,隧道风速需要较长的时间才能达到稳定状态,即纵向通风隧道存在延迟效应。通过理论公式推导得出的隧道流场在风机调控下的动态响应公式,可用来预测隧道延迟效应的强弱,其理论计算结果与现场实测数据吻合良好。参数化研究发现:在相同初始速度下,开启射流风机数量越多,隧道风速达到稳定的时间越短;关停射流风机数量越多,隧道风速达到稳定的时间越长。在启停相同数量射流风机的条件下,初始速度越小,隧道风速达到稳定的时间越长;隧道越长、截面积越大、隧道壁面越光滑,稳定时间越长,通风延迟效应越显著。     

混合动力商用车AMT挡位自学习控制技术优化

在混合动力商用车电控机械式自动变速器(AMT)系统中,因制造、装配、磨损、更换等导致变速器各挡位置存在差异及变化,引起选换挡成功率降低甚至工作异常,需通过AMT挡位自学习解决此问题。针对AMT静态时各挡位位置自学习控制策略提出了优化,主要包括挡位学习顺序和再次进挡学习策略,通过自整定PID技术进行自适应参数优化。经过试验验证,提高了自学习成功率、合格率、效率和一致性。     

车身轻量化方法研究

分析车身轻量化流程,界定各部门的角色任务;研究车身轻量化目标值的确定方法,简述车身轻量化的三种主要措施.     

纯电动汽车两档自动变速器换档品质研究

纯电动汽车变速器需要符合驱动电机特性并利用同步器使将要啮合的齿轮达到一致的转速而顺利啮合,从而实现电动汽车换档变速的功能。所研究的纯电动汽车变速器无离合器,仅依靠电机的调速性能和同步器共同作用换档。通过对同步器的滑磨功和换档冲击度进行分析,利用电机自身的调速特性,减小主、被动齿轮转速差,减轻同步器磨损,缩短换档时间,从而提高变速器的换档品质。     

Study on the performance of active front steering system

The performance of a steering system equipped with active front steering (AFS) device is investigated with the consideration of AFS intervention and a proposed dynamic model. Firstly, the kinematics and dynamics of AFS are illustrated based on the mechanism of AFS with planetary gear set and a detailed dynamic model. Furthermore, a basic control on the voltage of DC motor at AFS actuator is proposed. It is realized by a proportional controller that the input is the difference of desired steering ratio and a conventional gear ratio. Finally, two numerical simulations are carried out. One is on-center handling test to demonstrate the basic characteristics of AFS. The other simulation is to demonstrate the effects of vehicle speed, frequency of steering input and AFS intervention on steering system performance. It is shown that the proposed AFS dynamic model is capable to simulate dynamic performance of AFS. The effect of AFS intervention on turning efforts at hand steering wheel is inevitable and the turning comfort is deteriorated to some extent.     

Improved hot-stamping analysis of tubular boron steel with direct measurement of heat convection coefficient

There are two types of hot-stamping processes, direct and indirect, depending on the sequence of the heating, forming, and quenching steps and the method used for each step. In this study, an indirect hot-stamping process consisting of forming at room temperature, heating, and water quenching was applied to develop a coupled torsion beam axle. The analysis results indicated that the application of the heat convection coefficient is critical in the simulations and must take into account the temperature and specific location in the model to ensure the accuracy of the heating and quenching analysis. The heat convection coefficients used in the analysis were directly measured at various positions of the tube (e.g., outside, inside, and bending region) using thermocouples, and the final values were determined through correlation between the actual tests and numerical analysis. The experimental and simulated final deformed shape and temperature distribution were in good agreement.     

Highly reliable driving workload analysis using driver electroencephalogram (EEG) activities during driving

Traffic accidents are caused by various factors, which can be classified into human factors, vehicle factors and environmental factors. Recently, human factors have been drawing particular attention as efforts are being made to enhance the safety performance of vehicles and improve road conditions. Driving distraction caused by an increased driving workload is a representative human factor. Various studies in the past have attempted to quantify the driving workload by using EEG activities. However, they have failed to consider vibration properties generated from vehicle engines. A number of noise signals were included in brainwave signal processing, which resulted in a failure to obtain reliable outcomes. Thus, this study suggests driver EEG activities free of vehicle engine secondary vibration in order to develop a method that analyzes the driving workload with high statistical reliability. By using the analytical method developed in this study, standard values of driving workload for straight and left-turn driving that has statistical significance could be calculated. The analytical method for driving workload created by this study can be applied to HVI and road design.