电动汽车整车控制器硬件在环测试系统设计

文章研究了电动汽车整车控制器硬件在环测试系统的整体测试流程,分析在环测试的关键技术,整合系统硬件结构,具体阐述了硬件在环测试中电动汽车各系统的具体的软件模型,并基于NI PXI/LabVIEW搭建了硬件在环测试系统的软硬件测试平台。以一款电动汽车整车控制器(VCU)为被测对象,搭建了电动汽车VCU硬件在环测试系统,通过测试序列实现对整车控制器功能策略的测试验证试验。试验表明该硬件在环测试系统能够准确全面检测VCU各项功能,提高VCU产品性能,有效缩短开发周期。     

电动助力系统硬件在环试验台设计

针对目前汽车电动助力系统开发过程中研发成本较高,难度较大的问题,通过搭建硬件在环仿真试验台,利用仿真的方法,设计并搭建该试验台进行部分实验验证。利用VC模块化技术,实时参数在线调整和硬件在环仿真功能,表明该试验台具备良好的在环仿真功能,能够模拟负载实现各种工作工况,为实际试验和产品开发提供仿真依据和参考。     

基于LabVIEW的EPS转向轻便性测试软件开发

分析了转向轻便性试验条件,应用LabVIEW图形化编程语言,构建试验台数据采集系统;实时采集转向盘转角和转矩信号,并对执行元件进行控制,按照试验条件自动进行操作。在自主开发的测试系统上进行某型号电动助力转向系统(EPS)的转向轻便性试验,证明了该测试系统的有效性。     

发动机硬件在环仿真试验台搭建

针对目前汽车发动机管理系统开发过程中研发成本较高,难度较大的问题,利用仿真的方法,设计并搭建了硬件在环仿真试验台,同时进行了部分试验验证。利用matlab模块化技术,实现快速原型代码生成和硬件在环仿真功能。使用表明,该试验台具备良好的在环仿真功能,能够模拟发动机各种工作工况,为实际试验和产品开发提供仿真依据和参考。     

电动助力转向硬件在环试验台的研究

介绍了自主研发的电动助力转向硬件在环试验台的软硬件构成及工作原理,采用三自由度车辆动力学模型,永磁同步电机采用直接转矩控制（DTC）模式,驱动滚珠丝杠实时模拟转向阻力,该试验台可以用于转向系统硬件的开发、系统试验及性能评价。     

基于LabVIEW RT的硬件在环仿真

利用实时仿真环境LabVIEW RT,构建了包括整车转向盘转角、油门、制动物理信号的硬件在环仿真系统.采用实时车辆动力学软件CarSim RT建立了车辆模型,并利用所搭建的试验台架进行了HIL仿真.结果表明,利用LabVIEW RT和CarSim RT能快速搭建面向整车开发的HIL系统,所建系统性价比高,而且有很好的实时性和扩展性.     

基于Simulink的V2X硬件在环测试系统研究

V2X(Vehicle-to-Everything)技术的国际标准和国内标准已相继出台,相关的测试需求也越来越迫切。文章提出一种基于Simulink的V2X硬件在环仿真测试系统方案,该方案中V2X设备通过CAN信号与仿真模型和车机显示屏交互,从而模拟真实的V2X设备实车前装工作环境;同时,本方案中的测试系统还使用GNSS模拟器发送实时定位数据以模拟真实GPS信号衰减。该方案能快速完成大量V2X算法场景测试及验证,有效缩短测试和开发周期,并能通过简单地加入驾驶模拟器即可支持V2X驾驶员在环(DIL)仿真测试。     

EMB硬件在环仿真试验台

介绍了用于EMB系统研究的硬件在环仿真试验台的搭建方法,对试验台的总体结构设计、机械系统设计、控制电路设计以及用于仿真试验的仿真模型进行了初步的探讨,并通过试验证实了这一技术的可行性和应用前景。     

基于硬件在环的纯电动客车整车控制系统功能测试

以纯电动客车的VCU为测试对象,采用硬件在环仿真技术,基于d SPACE建立整车控制系统仿真测试平台,对整车控制系统进行功能测试,为后续实车调试提供理论依据。     

混合动力汽车动力总成试验台研究

基于混合动力汽车有串联、并联和混联等多种结构形式的特点,提出以模块化设计思想来搭建混合动力汽车动力总成试验台的方法,从而达到了在比较短的时间内、以尽量小的改动适应不同混合动力汽车动力总成结构形式组合需要的目标。根据研究需要,首先完成了混合动力汽车动力总成试验台并联形式的建设,并利用该试验台对所研制的混合动力城市客车多能源动力总成控制器进行了初步调试,验证了该控制器的软硬件设计和并联电动助力型控制策略。同时,所完成的发动机台架试验和电机台架试验也充分证明了试验台模块化设计思想的可行性和有效性。     

基于AVL台架的ISG混合动力客车扭矩优化

介绍了ISG混合动力客车各动力部件扭矩加载速率变化的设计优化过程及整车控制策略的优化,重点阐述了基于AVL台架验证扭矩加载速率变化对部件的寿命以及加速性能的影响。     

Development of an errorable car-following driver model

An errorable car-following driver model is presented in this paper. An errorable driver model is one that emulates human driver’s functions and can generate both nominal (error-free), as well as devious (with error) behaviours. This model was developed for evaluation and design of active safety systems. The car-following data used for developing and validating the model were obtained from a large-scale naturalistic driving database. The stochastic car-following behaviour was first analysed and modelled as a random process. Three error-inducing behaviours were then introduced. First, human perceptual limitation was studied and implemented. Distraction due to non-driving tasks was then identified based on the statistical analysis of the driving data. Finally, time delay of human drivers was estimated through a recursive least-square identification process. By including these three error-inducing behaviours, rear-end collisions with the lead vehicle could occur. The simulated crash rate was found to be similar but somewhat higher than that reported in traffic statistics.     

Findings from subjective evaluations and driver ratings of vehicle dynamics: steering and handling

This paper investigates subjective assessments (SA) of vehicle handling and steering feel tests, both numerical and verbal, to understand drivers’ use of judgement scales, rating tendencies and spread. Two different test methods are compared: a short multi-vehicle first-impression test with predefined-driving vs the standard extensive single-vehicle free-driving tests, both offering very similar results but with the former saving substantial testing time. Rating repeatability is evaluated by means of a blind test. Key SA questions are identified by numerical subjective assessment autocorrelations and by generating word clouds from the most used terms in verbal assessments, with both methods leading to similar key parameters. The results exposed in this paper enable better understanding of SA, allowing improving the overall subjective testing and evaluation process, and improving the data collection and analysis process needed before identifying correlations between SA and objective metrics.     

基于LabVIEW的汽车电动助力转向系统测试平台的研究

利用高性能的数据采集设备,结合个人计算机,建立系统硬件平台;采用LabVIEW软件开发平台,再结合相应的驱动程序,开发出集数据采集、测试、存储、分析和显示功能于一体的汽车电动助力转向虚拟测试平台。该平台的测试结果表明：本虚拟测试系统操作简便、快速,运行可靠,测试精度高,测试成本低,可维护性高,可扩充性好。     

基于台架试验的EPS电机控制策略设计及验证

为了使助力电机具备更好的响应特性,在实车试验前获得EPS系统的基本性能数据,可对控制器组成部件进行初步优化。基于上下位机通讯的EPS台架试验运用虚拟仪器技术提出了电机控制策略,试验台测试结果表明:助力电机具备较好的响应特性,所设计的助力控制策略基本满足EPS助力电机的控制要求。     

自动变速器控制器的测试台架开发

开发了用于测试自动变速器控制器的硬件在环测试台架。介绍了测试台架的硬件架构和软件架构,设计了应用层软件和负载箱,在Matlab/Simulink下建立了自动变速器的传动模型。以AMT TCU的2挡升3挡工况为例进行了闭环测试试验,结果表明,测试值与实际值误差在设定的范围内,该测试台架可有效地对TCU的硬件和底层软件进行测试。     

电动助力转向系统开发平台的仿真分析

本文提出了一种基于电动伺服缸加载的电动助力转向系统实验平台,并对该实验台进行数学建模,建立了其整体仿真模型,模拟分析了车辆在实际运行中轮胎力的变化以及EPS的动态特性响应。     

Application of time-variant predictive control to modelling driver steering skill

The paper addresses the need for improved mathematical models of human steering control. A multiple-model structure for a driver's internal model of a nonlinear vehicle is proposed. The multiple-model structure potentially offers a straightforward way to represent a range of driver expertise. The internal model is combined with a model predictive steering controller. The controller generates a steering command through the minimisation of a cost function involving vehicle path error. A study of the controller performance during an aggressive, nonlinear steering manoeuvre is provided. Analysis of the controller performance reveals a reduction in the closed-loop controller bandwidth with increasing tyre saturation and fixed controller gains. A parameter study demonstrates that increasing the multiple-model density, increasing the weights on the path error, and increasing the controller knowledge range all improved the path following accuracy of the controller.     

基于MATLAB/SIMULINK的汽车电动助力转向系统特性仿真

为了研究电动汽车EPS助力特性对汽车操纵稳定性的影响,在对EPS工作原理和助力特性进行分析的基础上,建立了EPS动力学方程,设计了一种能实现理想助力特性的PID控制器。基于MATLAB/SIMULINK对其进行了仿真分析,结果表明,系统加入PID控制后齿条位移、方向盘转角及检测转矩相比无控制时运行更平稳,调节时间分别缩短0.2,0.4,0.4 s;前助力转矩阶跃响应呈高频波动,电机内部的波动现象明显改善,PID控制器对于EPS的助力特性具有更好的控制效果和稳定性。