国V柴油对车用柴油机排放影响的试验研究

采用AVL全流采样(CVS)系统,在3台国Ⅳ重型柴油机上进行了国Ⅳ、国Ⅴ柴油油品对排放影响的对比试验,试验使用ESC,ETC以及ELR测试循环。3台发动机均采用增压中冷+SCR技术路线,供油系统包括高压共轨和电控单体泵系统,排量范围为3.8～11.9 L。研究发现,无论是ESC循环还是ETC循环,国Ⅴ柴油相对于国Ⅳ柴油,均可以降低重型柴油机的PM和CO排放,但对NO_x,THC和ELR烟度没有明显影响。     

热插拔控制器在汽车电路中的应用

介绍一种用于汽车这种具有强电源干扰环境的热插拔控制器。它既能够为微控制器提供干净稳定的电源,又能保证在自身模块更换时不对蓄电池电源造成干扰。     

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。     

一种减轻装有EPS汽车转向扭矩的控制策略

本文提出了一种新的电动助力转向系统的控制策略,以减小车辆静止时改变方向所需的转向力。以前尝试通过减少不良的转向振动来减少转向扭矩失败的原因是因为高辅助增益往往会产生震荡或增加噪声敏感性。为了消除此种振动,开发出一种基于控制齿轮角速度的控制策略,它是在简化的转向模型的基础上开发出来的。这个实验获得了很好的齿轮角速度的估计值,这样就有可能消除方向盘所有旋转速度下的振动。实验证明在方向盘大转速变换下,转向扭矩显著降低,无振动传输给司机。所提出的控制策略使用一个辅助来获得超过原来的三倍以上的增益。此外,所提出的控制策略不需要补充传感器。     

基于系统效率最优的CVT混合动力轿车转矩优化分配方法

无级变速器CVT消除了挡位概念,其速比在一定范围内连续可调。配备CVT的混合动力汽车能够实现动力源转矩和传动系统的优化匹配。针对此问题,提出了基于系统效率最优的CVT中度混合动力轿车动力源转矩优化分配方法:。该方法:综合考虑了各个关键部件的效率,以混合动力系统的总体效率为优化目标,以车速、车辆加速度、电池SOC为状态变量,优化分配了驱动工况下各动力源输出转矩,为整车能量管理策略的制定奠定了基础。     

国Ⅳ之后柴油机三种燃油喷射系统对比及其技术发展趋势

系统地介绍了电控泵喷嘴系统、电控单体泵系统、电控共轨系统的结构及牛寺｜点。阐述了电控燃油喷射系统的技术发展趋势。     

硫含量对柴油车排放的影响与减排措施的研究

分析硫含量对柴油车排放物PM、NOx、CO的影响,并通过分析硫含量对氧化催化转化(DOC)、柴油颗粒过滤(DPF)、NOx排放控制等排气后处理技术的影响,提出相应的有效减排措施。     

纯电动客车在线诊断系统设计及应用

目前大部分纯电动客车生产时的整车性能调试依赖技术开发人员,非常不利于纯电动客车的批量生产。本文详述一种能够对纯电动客车进行快速调试和在线诊断的系统,有利于纯电动客车的批量生产。     

Stability enhancement and fuel economy of the 4-wheel-drive hybrid electric vehicles by optimal tyre force distribution

In this paper, vehicle stability control and fuel economy for a 4-wheel-drive hybrid vehicle are investigated. The integrated controller is designed within three layers. The first layer determines the total yaw moment and total lateral force made by using an optimal controller method to follow the desired dynamic behaviour of a vehicle. The second layer determines optimum tyre force distribution in order to optimise tyre usage and find out how the tyres should share longitudinal and lateral forces to achieve a target vehicle response under the assumption that all four wheels can be independently steered, driven, and braked. In the third layer, the active steering, wheel slip, and electrical motor torque controllers are designed. In the front axle, internal combustion engine (ICE) is coupled to an electric motor (EM). The control strategy has to determine the power distribution between ICE and EM to minimise fuel consumption and allowing the vehicle to be charge sustaining. Finally, simulations performed in MATLAB/SIMULINK environment show that the proposed structure could enhance the vehicle stability and fuel economy in different manoeuvres.     

Design of safety-oriented control allocation strategies for overactuated electric vehicles

The new vehicle platforms for electric vehicles (EVs) that are becoming available are characterised by actuator redundancy, which makes it possible to jointly optimise different aspects of the vehicle motion. To do this, high-level control objectives are first specified and solved with appropriate control strategies. Then, the resulting virtual control action must be translated into actual actuator commands by a control allocation layer that takes care of computing the forces to be applied at the wheels. This step, in general, is quite demanding as far as computational complexity is considered. In this work, a safety-oriented approach to this problem is proposed. Specifically, a four-wheel steer EV with four in-wheel motors is considered, and the high-level motion controller is designed within a sliding mode framework with conditional integrators. For distributing the forces among the tyres, two control allocation approaches are investigated. The first, based on the extension of the cascading generalised inverse method, is computationally efficient but shows some limitations in dealing with unfeasible force values. To solve the problem, a second allocation algorithm is proposed, which relies on the linearisation of the tyre–road friction constraints. Extensive tests, carried out in the CarSim simulation environment, demonstrate the effectiveness of the proposed approach.