混合动力汽车减振降噪控制技术分析与对策

文章分析了混合动力汽车发动机、驱动电机、发电机、动力耦合装置、变频器总成、动力电池(HV电池)的噪声及振动特性,并针对混合动力汽车特有的噪声和振动特性,提出了激励源控制和传递路线控制的减振降噪措施。     

基于CANopen协议的混合动力汽车车载网络设计

为了更好地解决混合动力汽车整车控制系统中各电子控制单元之间的通信问题,设计了基于CANopen协议的混合动力汽车分布式车载网络。在串联混合动力汽车拓扑结构模型的基础上,建立了整车CANopen控制网络,设计了基于CANopen协议的混合动力汽车车载网络平台,解决了应用层实现,并对网络主从节点设备分别进行网络化设计。针对所建立的CAN-open车载网络,通过设计算法测试,验证了网络的一致性和实时性,保证了整车设备间进行可靠的通信。     

Insight混合动力电动汽车驱动系统建模与仿真

研究了本田汽车公司Insight混合动力电动汽车驱动系统及其各单元的动态特性,运用键合图原理对该系统进行数学建模.在假定的几种运行工况下,应用Matlab/Simulink对系统进行仿真计算和研究.研究结果表明,所建模型较准确地反映了该混合动力电动汽车驱动系统的动态特性,并能根据不同的控制策略修改系统的有关参数,方便地用于同类混合动力电动汽车的研究与开发.     

混合动力汽车稳定性控制硬件在环仿真研究

建立混合动力汽车硬件在环仿真系统,研究在各种路面状况下的汽车稳定性控制算法。控制算法包括再生制动和液力制动之间的制动力矩分配、车轮滑移率的滑模控制等。在设计的混合动力汽车稳定性控制硬件在环仿真系统中,选取稳定性控制器和执行器(如制动轮缸、驱动电机)为实物,而汽车(受控对象)的运行状态由计算机仿真。仿真结果表明,基于再生制动、液力制动和滑移率联合控制的车辆稳定性控制算法能够在各种路面条件下提高制动性能,如缩短制动距离、减小侧偏角和横摆角速度的误差。     

基于模糊神经网络的混联式混合动力汽车驱动系统工作状态控制研究

通过分析混联式混合动力汽车理想工作模式的控制,提出了一种新型的汽车驱动系统工作模式的控制方法——模糊神经网络控制.采用模糊神经网络能够自适应的控制汽车驱动模式工作状态的切换,能够节能减排,提高发动机的动力.利用Matlab/Simulink建立模糊神经网络控制模型,仿真实验结果表明,该控制方法达到了预期的目的,具有较好的效果.     

混合动力汽车整车控制器开发

以某ISG(起动机/发电机一体化)型混合动力汽车为对象,对车辆转矩需求、发动机工作区优化和整车控制策略进行了分析,并开发了基于MC9S12DP256的整车控制器硬软件系统.进行了实车实验,实现了发动机启动、纯发动机驱动、混合驱动、驻车充电等多种工作模式,证明了该整车控制器和控制策略的有效性和可靠性.     

单轴并联式混合动力汽车能量分配的模糊控制策略研究

针对单轴并联式混合动力轿车,以混合驱动系统需求转矩和电池剩余电量（SOC）为输入,以发动机转矩为输出,构建了能量管理模糊控制器,基于ADVISOR的仿真研究表明,模糊控制策略与传统的逻辑门控制策略相比,能够更有效地降低混合动力汽车的燃油消耗和排放,更好地控制电池组SOC的变化。     

ISG轻度混合动力电动汽车控制策略的制定及仿真

分析了ISG轻度混合动力电动汽车(ISG-MHV)的结构和功能,制定了发动机单独驱动模式、混合驱动模式、行车充电模式、再生制动模式的控制策略。在相关分析和设计的基础上,利用Matlab/Simulink对整车关键部件进行了建模。对所匹配的车辆动力性进行了仿真,并对其在NEDC循环工况下的燃油消耗量进行仿真计算。与动力性相似的普通汽车的燃油经济性进行对比,说明了ISG轻度混合动力电动汽车动力匹配的合理性、高效性和控制策略的有效性。仿真结果表明:该控制策略使ISG轻度混合动力汽车的油耗低于传统动力汽车。     

基于Simulink-AMESim联合仿真的混合动力客车再生制动系统分析

对混合动力客车制动力分配系数的确定进行了分析。在并行再生制动系统的基础上,提出通过调节气压ABS调节单元控制汽车机械制动力,以改善混合动力客车制动力分配,提高制动稳定性,增加制动能量回收。建立了Simulink-AMESim联合仿真模型并进行了仿真分析。仿真结果表明:这种再生制动系统可有效地提高汽车制动稳定性,增加制动能量回收。     

电动车混合动力及控制系统

正所属单位航天新长征电动汽车技术有限公司产品简介该电动车混合动力及控制系统可广泛应用于混合动力客车、混合动力专用车,以及其它各类专用车辆,具有动力驱动、行车控制、能源管理、运行监控、故障诊断等功能,可为整车制造企业提供混合动力汽车动力及控制系统的一揽子解决方案。该系统结合了串联和并联混合动力两种模式的优     

Modeling and optimal energy management of a power split hybrid electric vehicle

With the combination modes of engine and two electric machines,the power split device allows higher efficiency of the engine.The operation and of a power split HEV are analyzed,and the system dynamic model HEV is established event-driven for HEV forward system simulation dynamics controller design.Considering the mode,the fact the mode that the operation modes of is the are and the the is continuous theory.time-driven this for each structure selection of the controller built and the described finite with hybrid automaton control In control structure,process is depicted by the state mode machine(FSM).The multi-mode switch controller is designed to realize power distribution.Furthermore,vehicle operations programming are optimized,and finite the prediction nonlinear model horizon.predictive control(NMPC)strategy is applied by that implementing the dynamic(DP)and in the Comparative simulation The results optimal demonstrate strategy hybrid in control structure is effective feasible for HEV energy management design.NMPC is superior improving fuel economy.     

带有模糊监视器的HEV控制策略的研究

混合动力电动汽车驱动系统是由若干复杂的子系统构成的，因此难以建立一个准确的数学模型。用模糊控制的方法实现混合动力电动汽车驱动系统的控制，可以避免建模中遇到的许多困难，并取得了较好的控制效果。文中简要介绍了典型的模糊控制方法，并应用Mat-lab仿真程序对控制结果进行了验证。     

Investigation on hierarchical control for driving stability and safety of intelligent HEV during car-following and lane-change process

The longitudinal and lateral coordinated control for autonomous vehicles is fundamental to achieve safe and comfortable driving performance. Aiming at this for hybrid electric vehicles (HEV) during the car-following (CF) and lane-change (LC) process while accelerating, a hierarchical control strategy for vehicle stability control is proposed. This new approach is different from the conventional hierarchical control. On the basis of model predictive control (MPC) theory, a two-layer MPC controller is designed at the top level of the control structure. The upper layer is a linear time-varying MPC (LTV-MPC), while the lower layer is a hybrid MPC (HMPC). For the LTV-MPC controller, a control-oriented linear discrete model for HEV is established, which integrates the dynamic model with three degrees of freedom (DOF) and the car-following model. The lower-layer HMPC controller is designed on the basis of the analysis for HEV hybrid characteristics and the modelling for the mixed logic dynamic (MLD) model of the HEV powertrain. As for the bottom level, a control plant including the HEV powertrain model and the 7 DOF nonlinear dynamics of the vehicle body is established. In addition, the system stability is proven. A deep fusion of vehicle dynamics control and energy management is achieved. Compared with LC-ACC control and conventional ACC control, the simulation and the hardware-in-the-loop (HIL) test results under different driving scenarios show that the proposed hierarchical control strategy can effectively maintain lateral stability and safety under severe driving conditions. Additionally, the HEV powertrain output torque and the gear-shift point are coordinated and controlled by the HMPC controller.

     

混合动力电动汽车能量及驱动系统的关键控制问题的研究

面对能源和环境的巨大压力,混合动力汽车（hybrid electric vehicle,HEV）已成为汽车工业发展的重要方向。混合动力电动汽车与传统汽车有很大不同,具有独特而又复杂的能量及驱动系统,故对控制系统的要求更高和依赖性更强。该系统可以归结为一类具有高度不确定性和强非线性的混杂切换动态系统,其优化控制策略的优劣直接影响车辆的经济性、可靠性、安全性和舒适性。然而混合动力电动汽车能量及驱动系统的控制器设计却面临众多挑战,现代控制理论和技术则是解决这一技术瓶颈的关键手段。本文从系统与控制科学的角度,深刻全面地综述了HEV能量及驱动系统的能量管理策略、车载动力电池状态估计、驱动系统及其优化控制等关键科学与技术问题及其研究进展,最后指出了HEV能量及驱动系统优化控制技术和理论面临的挑战和发展趋势。     

混合动力汽车系统效率的影响因素

为了在混合动力汽车(HEV)设计及应用中合理地分配及使用车载能源,对HEV几个效率影响因素进行了研究。通过对比计算和仿真,对几种结构方案及控制策略的适用性作了评价,并分析了双动力源连接方式、混合比、循环工况和控制策略等因素对系统效率的影响。分析结果表明:使用行星架作为输出轴、增大混合比、借助于模糊逻辑控制有利于提高车辆在循环工况(特别是市区工况)下的效率。     

基于Advisor的仿真软件的二次开发及其在复合电源混合动力汽车上的应用

对Advisor仿真平台进行了二次开发,获得了界面友好且适合复合电源混合动力汽车建模与仿真的专有技术平台,克服了用Advisor软件不能对由蓄电池和超级电容组成的复合电源混合动力汽车进行性能仿真的缺点。对复合电源混合动力汽车进行了性能仿真,并与原车单一蓄电池系统或超级电容系统进行了对比。仿真与对比结果表明:复合电源混合动力汽车的燃油经济性和动力性都得到了提高。     

An optimal energy management development for various configuration of plug-in and hybrid electric vehicle

Due to soaring fuel prices and environmental concerns, hybrid electric vehicle(HEV) technology attracts more attentions in last decade. Energy management system, configuration of HEV and traffic conditions are the main factors which affect HEV's fuel consumption, emission and performance. Therefore, optimal management of the energy components is a key element for the success of a HEV. An optimal energy management system is developed for HEV based on genetic algorithm. Then, different powertrain system component combinations effects are investigated in various driving cycles. HEV simulation results are compared for default rule-based, fuzzy and GA-fuzzy controllers by using ADVISOR. The results indicate the effectiveness of proposed optimal controller over real world driving cycles. Also, an optimal powertrain configuration to improve fuel consumption and emission efficiency is proposed for each driving condition. Finally, the effects of batteries in initial state of charge and hybridization factor are investigated on HEV performance to evaluate fuel consumption and emissions. Fuel consumption average reduction of about 14% is obtained for optimal configuration data in contrast to default configuration. Also results indicate that proposed controller has reduced emission of about 10% in various traffic conditions.     

Economic MPC-based transient control for a dual-mode power-split HEV

The existing research into hybrid electric vehicle(HEV) control is mainly focussed on the optimisation of the power distribution between a conventional internal combustion engine(ICE) and an alternative power source(usually a battery pack), however,transient control, which is a key technique that affects both fuel economy and the drivability of the HEV, has not been fully addressed. Especially in dual-mode power-split HE Vs, due to the different dynamic characteristics of the actuators in the transmission, and its complicated speed-torque relationship, transient control also affects the precision of power distribution and the speed of response of the electric output power. To improve the transient control performance, the design of an economic model predictive control(EMPC)-based transient controller for a dual-mode power-split HEV is developed. By incorporating an experimental identification model of a diesel ICE in a control-oriented transmission model, a better coordination among the actuators involved in HEV transmission can be achieved. Moreover, an ICE efficiency index is also added to the objective function to improve ICE fuel efficiency during this transient process. Then, a fast MPC method is applied to reduce the on-line computation effort required of the proposed control algorithm. By the flexible application of the EMPC and an innovative ICE model which is suited to the control-oriented model in EMPC, the transient control performance was improved. The effectiveness,and the real-time performance,of the control algorithm are validated by way of MATLABTM/Simulink-based simulations,as well as test-bed experiments combined with the use of the RapidECU platform.     

混合动力汽车仿真通信系统

建立一个离线仿真实验环境,仿真混合动力汽车多能源动力总成实验台架的CAN局域网络通讯,在各个网络节点之间传输信息。仿真系统实现了CAN总线协议与J1939总线协议之间的信息转换。由3台计算机模拟总成控制器与各部件ECU之间的信息传送,可动态调整通信参数,实时分析报文内容。仿真系统已用于测试混合动力汽车电机控制器的通信性能。测试结果表明:仿真系统性能稳定,显示直观,分析准确,为混合动力汽车CAN网络通讯提供了技术支持和解决方案。     

双转子电机及其在混合电动汽车中的应用

双转子电机相对于传统电机,增加了一个旋转部件,可实现两路机械能量的独立传递,不仅具有更高的功率密度和效率,而且可实现多动力源机电能量耦合输出,应用于混合动力汽车驱动系统中,通过内外电机的协调控制使发动机工作在最佳效率区,实现多种工作模式和无级变速,具有广泛的工业应用前景.介绍了双转子电机的发展,分析了几种主要类型双转子电机结构、工作原理及其在混合电动汽车驱动系统的应用特点,并针对其结构设计、系统控制等方面的技术难点和现有不足,探讨了双转子电机及其混合电动汽车领域应用的发展趋势和研究方向.