插电式混合动力汽车实车优化控制策略研究

针对目前优化控制策略由于寻优时间长,难以应用于实车控制的问题,提出了近似极小值原理优化控制策略,在Matlab/Simulink/Stateflow开发环境下,开发了基于该优化控制策略的实车控制软件。选取一段随机路况进行实车道路试验,结果表明,提出的优化控制策略实时性好,能够应用于实际车辆,且能合理分配发动机和电机扭矩。     

电动汽车整车控制器快速原型开发

整车控制器是电动汽车运行的核心单元。为实现电动汽车整车控制器快速原型的建模和开发,文章基于ASCET-MD和ASCET-RP软件平台,通过处理试验数据,分析和设计电动汽车整车控制器的控制策略,将控制策略实现为快速原型模型,载入ES910快速原型。通过与实车试验数据对比,验证了所建模型能够还原实车的整车控制器,实现其控制策略。该方法使基于ASCET和ES910平台的电动汽车整车控制器快速原型开发的可行性和有效性得到验证。     

基于横摆角速度变门限值的车辆稳定性控制策略及实车场地试验

进行了基于横摆角速度变逻辑门限值的车辆稳定性控制策略研究,分析该策略的Matlab/Simulink仿真结果,开发了基于DSP的车辆稳定性控制器ECU,实现该控制策略.实车场地试验表明,基于该控制策略的控制器实用且有效,能够大大提高汽车在极限状态下曲线行驶的车辆稳定性.     

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。     

提升车辆百公里加速性能的AT控制策略研究

对装有AT(液力自动变速箱)变速器的车辆加速过程进行受力分析,研究车辆百公里加速过程不同挡位加速时间的分布规律;通过对换挡规律、液力变矩器闭锁时机、发动机降扭程度控制策略进行优化,初步形成8组组合优化方案,通过CRUISE仿真分析筛选出2组优化方案,最后通过实车测试确定最优AT组合控制策略。实车百公里加速试验结果表明,采用该AT组合控制策略,车辆百公里加速性能提升10.6%。     

电子驻车系统动态制动功能切换策略

简要介绍了电子驻车系统动态制动功能的控制策略,以及这些控制策略之间的切换策略。利用实车试验验证了各种切换策略的优缺点,并且给出了最佳的切换策略。     

电动化车辆主动防抖控制策略的研究

为了在保证电动化车辆整车平顺性的同时,提高其动力响应性能,针对其传动系统的欠阻尼特性,文章基于整车控制系统开发了两种主动防抖控制策略,即驾驶性扭矩滤波控制和主动阻尼控制。通过搭建整车动力学仿真验证环境,对主动防抖控制策略进行了仿真分析,并将主动防抖控制策略移植到实时控制系统上,进行了实车试验。仿真和实车试验结果表明,与驾驶性扭矩滤波策略相比,主动阻尼控制策略能更好地避免整车起步抖动的问题,并实现更快速的动力响应。     

复合功率分流变速器的设计与验证

基于拉维娜行星齿轮系,设计了结构紧凑的新型复合功率分流变速器,应用等效杠杆法对其进行结构简化与分析。建立了搭载该变速器的动力系统数学模型,对整车工作模式进行分析并优化了各工作模式下的控制策略。最终利用离线仿真和实车试验对其设计方案和控制策略的有效性进行了验证。     

低速无人驾驶汽车电子助力转向系统的应用研究

实现转向系统的控制是实现无人驾驶横向控制的基础。文章介绍了一种低速无人驾驶汽车转向系统的控制方案,提供了上位机与转向系统的交互逻辑和控制策略,以及相应的转向性能指标。基于该设计方案,针对不同测试工况进行了实车试验,并分析了不同工况下转向系统的响应性能。道路测试结果表明,该方案可以实现特定道路工况下低速无人驾驶对转向系统的要求。     

油门踏板快速松开时自动变速器换挡控制

针对装备自动变速器的车辆在油门踏板快速松开时的意外换挡问题,通过采集车速、油门和制动信号并结合2参数换挡规律,找到了该车辆意外换挡的原因.对该车TCU换挡控制策略进行了优化.建立整车纵向动力学仿真模型,以实车采集到的油门、制动信号作为模型的输入量进行了仿真试验,并通过实车试验对优化后策略进行了验证.结果表明,优化后策略...     

Adaptive Throttle Control for Speed Tracking

Electronic throttle control is an important part of every advanced vehicle control system. In this paper we design an adaptive control scheme for electronic throttle that achieves good tracking of arbitrary constant speed commands in the presence of unknown disturbances. The design is based on a simplified linear vehicle model which is derived from a validated nonlinear one. The designed control scheme is simulated using the validated full order nonlinear vehicle model and tested on an actual vehicle. The simulation and vehicle test results are included in this paper to show the performance of the controller. Due to the learning capability of the adaptive control scheme, changes in the vehicle dynamics do not affect the performance of the controller in any significant manner.     

Adaptive Throttle Control for Speed Tracking

SUMMARY

Electronic throttle control is an important part of every advanced vehicle control system. In this paper we design an adaptive control scheme for electronic throttle that achieves good tracking of arbitrary constant speed commands in the presence of unknown disturbances. The design is based on a simplified linear vehicle model which is derived from a validated nonlinear one. The designed control scheme is simulated using the validated full order nonlinear vehicle model and tested on an actual vehicle. The simulation and vehicle test results are included in this paper to show the performance of the controller. Due to the learning capability of the adaptive control scheme, changes in the vehicle dynamics do not affect the performance of the controller in any significant manner.     

基于太阳能的车载温度控制系统开发

提出将太阳能应用于车载温度控制系统。在车载温度控制系统中，太阳能电池安装于汽车车顶，吸收太阳能，给车载蓄电池充电；蓄电池给车载降温元件提供能量，从而实现汽车换气降温及制冷。设计了车载温度控制系统及其控制策略，以指导降温元件的运转状态。针对不同的车载温度工况，车载温度控制系统能够自动调节降温元件的运行，具有较好的经济性和适应性。最后，通过试验对设计的控制策略进行了验证。     

双离合器式自动变速器低温静态进档控制策略

制定了低温时湿式双离合器式自动变速器静态进档控制策略。通过实车测试，验证了静态进档控制策略的有效性，优化了整车进档性能。     

氢燃料电池电电混合汽车能量管理控制策略研究

氢燃料电池电电混合汽车的整车能量管理采用滞环控制策略,以提高燃料电池的经济性与耐久性,并搭建该能量管理控制策略模型用于实际道路工况测试.     

轮毂液驱车辆助力模式温度补偿控制策略

轮毂液驱车辆是在传统重型商用车基础上加装一套轮毂液压驱动系统，使其在低附着路面下具有较高的牵引性能。在轮毂液驱车辆助力模式下，针对液压系统油液温度升高引起的系统泄漏量增加、控制精度降低等问题，提出一种温度补偿控制策略。根据考虑系统损失的流量连续性原理和轮速跟随思想，提出了基于温度补偿的多因素泵排量控制策略，并通过MATLAB/Simulink和AMESim联合仿真平台对该控制策略进行了验证。仿真结果表明：温度补偿策略补偿了系统的流量损失，满足了实际轮速跟随需求，提高了总牵引力。同时，通过HIL试验证明了温度补偿策略在实车上依然能达到仿真时的控制效果，对轮毂液驱车辆的实际开发具有理论指导意义。     

Direct yaw moment control and power consumption of in-wheel motor vehicle in steady-state turning

Driving force distribution control is one of the characteristic performance aspects of in-wheel motor vehicles and various methods have been developed to control direct yaw moment while turning. However, while these controls significantly enhance vehicle dynamic performance, the additional power required to control vehicle motion still remains to be clarified. This paper constructed new formulae of the mechanism by which direct yaw moment alters the cornering resistance and mechanical power of all wheels based on a simple bicycle model, including the electric loss of the motors and the inverters. These formulation results were validated by an actual test vehicle equipped with in-wheel motors in steady-state turning. The validated theory was also applied to a comparison of several different driving force distribution mechanisms from the standpoint of innate mechanical power.     

Modeling and ratio control of an electromechanical continuously variable transmission

A new type of electromechanical continuously variable transmission (EMCVT) was investigated. The EMCVT uses a direct current (DC) motor to push the driving pulley, which in turn changes the transmission ratio without a hydraulic system. This paper introduces the principle of the EMCVT and establishes a dynamic ratio control model. Ratio control strategies using both position and speed closed-loop control are proposed. Simulation results show that the simulation ratio curves of the EMCVT follow pre-designed ratios well for ramp and sine curves. Control software is based on MATLAB/Simulink/Stateflow and MotoHawk platforms. A prototype vehicle equipped with an EMCVT has been developed. Vehicle test results show that the control performance of the EMCVT satisfies the requirements of vehicle operation. The effectiveness of the EMCVT ratio control strategy proposed in this paper is validated with test data for the prototype vehicle.     

油气主动悬架非线性模型的建立、仿真与试验验证

本文通过分析油气悬架中存在的气体弹簧刚度非线性特性和摩擦力，建立了主动悬架的非线性模型。分析了悬架的非线性特性对悬架运动的影响。仿真和试验结果表明，非线性模型比线性模型更接近油气悬架的实际情况，根据非线性模型设计的车身高度控制策略比根据线性模型设计的控制策略具有更好的控制效果。     

Human driving data-based design of a vehicle adaptive cruise control algorithm

This paper presents a vehicle adaptive cruise control algorithm design with human factors considerations. Adaptive cruise control (ACC) systems should be acceptable to drivers. In order to be acceptable to drivers, the ACC systems need to be designed based on the analysis of human driver driving behaviour. Manual driving characteristics are investigated using real-world driving test data. The goal of the control algorithm is to achieve naturalistic behaviour of the controlled vehicle that would feel natural to the human driver in normal driving situations and to achieve safe vehicle behaviour in severe braking situations in which large decelerations are necessary. A non-dimensional warning index and inverse time-to-collision are used to evaluate driving situations. A confusion matrix method based on natural driving data sets was used to tune control parameters in the proposed ACC system. Using a simulation and a validated vehicle simulator, vehicle following characteristics of the controlled vehicle are compared with real-world manual driving radar sensor data. It is shown that the proposed control strategy can provide with natural following performance similar to human manual driving in both high speed driving and low speed stop-and-go situations and can prevent the vehicle-to-vehicle distance from dropping to an unsafe level in a variety of driving conditions.