混联式混合动力汽车动力系统参数匹配的研究

混合动力汽车动力总成参数的合理匹配是混合动力汽车产品开发的重要前提和基础性工作.在对混联式混合动力汽车动力总成结构和整车控制策略分析的基础上,分别进行发动机、电动机和蓄电池等动力总成部件的选型和参数设计,并对传动系统进行参数设计.针对发动机、永磁同步电动机和镍氢蓄电池的工作特性建立模型,并基于NEBC工况进行仿真,得出发动机扭矩、电动机扭矩和蓄电池荷电状态的变化曲线.结果表明,混联式混合动力汽车动力系统的参数匹配合理.     

ECVT型混合动力城市客车动力系统设计与验证

针对传统客车集成启动/发电机一体化(integrated starter/generator, ISG)混合动力系统节油效果不理想的问题,选用电控无极自动变速(electronic continuously variable transmission, ECVT)混合动力系统方案,在插电式混合动力城市客车上应用并验证。在单行星排运动学特性的等效杠杆分析基础上,对某插电式ECVT动力系统关键部件进行参数匹配与计算;根据标定试验数据,采用Matlab/Simulink软件建立发动机仿真模型、驱动电机仿真模型和发电机仿真模型,搭建整车仿真模型;在中国典型城市公交循环工况下,研究目标车型的燃油经济性、动力性、纯电最大续航特性,完成经济性、动力性等道路测试试验。结果表明,本研究设计的ECVT混合动力系统汽车相较于传统汽车节油率达到57.47%,相较于ISG混合动力系统汽车节油率提高了24.12%。因此,插电式混合动力城市客车采用ECVT混合动力系统方案是可行有效的,且节油效果明显。     

插电式混合动力汽车动力传动系统参数匹配优化

以基于CVT并联式插电混合动力汽车为研究对象,首先采用理论和工况相结合的分析法,分别匹配电机峰值功率和电机额定功率;然后采用理论分析法对发动机参数和电池参数进行匹配,以整车油耗和排放为目标函数,采用遗传算法对主减速器速比进行优化;最后用MATLAB建立整车动力传动系统仿真模型,制定基于逻辑门限值的能量管理控制策略,并进行整车动力性能和经济性能仿真分析。结果表明匹配的参数满足整车动力性能的设计要求,动力传动系统参数匹配合理,为插电式混合动力汽车的设计提供了理论依据。     

基于遗传算法的PHEV动力参数优化与仿真

分析了插电式混合动力汽车(Plug-in Hybrid Electric Vehicle,简称PHEV)的动力系统结构,提出了将发动机功率、电机功率、动力电池功率、动力电池容量作为变量来优化PHEV动力系统.将3大动力部件成本总和作为目标函数,整车质量及动力性能作为限制条件,建立数学模型,运用遗传算法进行优化.运用Autonomie汽车仿真软件建立PHEV仿真模型,进行仿真实验.结果表明:发动机、电机、动力电池参数与遗传算法最优解基本相符,验证了所用遗传算法匹配动力参数的适用性.     

基于ADVISOR的混联型混合动力汽车研究

提出了一种混联型混合动力系统,采用杠杆模拟方法对其运行工况进行分析,并确定动力总成参数.最后将某公司的SUV动力系统改为这种混联型动力系统,利用仿真软件ADVISOR对该混合动力系统进行燃油经济性仿真.仿真结果表明,在UDDS循环工况下的混联型混合动力系统比传统的动力系统整车燃油经济性有明显地提高.     

串联混合动力汽车控制策略

为了提高串联混合动力汽车的燃油经济性和排放性，延长动力系统部件的寿命，对串联混合动力汽车控制策略进行了研究。仿真分析了动力系统控制策略对整车性能的影响。结果表明：作者所采用的功率跟随 恒温器的控制策略充分利用了发动机和电池的高效区，既减少了蓄电池的过度循环和大电流放电，又避免了发动机的频繁起停，同时发动机的工作点主要集中在经济性和排放性较好的区域，使动力系统达到整体效率最高。     

混合动力客车动力系统参数匹配与仿真优化

针对目前混合动力城市客车所具有的优势,本文以某款城市客车为例,在3种混合动力驱动形式的基础上,确定了本车串联混合动力的驱动形式;并对动力系统各部件参数进行了匹配设计,同时利用ADVISOR软件及其自动尺寸设计功能进行优化仿真。仿真结果表明,优化后的参数,虽电池组数目相差不大,但发动机、发电机和电动机的功率均有所减小,从而使3个部件的尺寸、质量和体积都有所减小,因此,整车的总质量也将随之减小,整车的经济性比参数优化前好。该研究满足了混合动力城市客车对动力性能的要求,达到了参数优化的目的。该研究为发展混合动力客车提供了理论依据。     

串联混合动力汽车控制策略

为了提高串联混合动力汽车的燃油经济性和排放性,延长动力系统部件的寿命,对串联混合动力汽车控制策略进行了研究。仿真分析了动力系统控制策略对整车性能的影响。结果表明:作者所采用的功率跟随+恒温器的控制策略充分利用了发动机和电池的高效区,既减少了蓄电池的过度循环和大电流放电,又避免了发动机的频繁起停,同时发动机的工作点主要集中在经济性和排放性较好的区域,使动力系统达到整体效率最高。     

混合动力电动汽车的动力系统参数设计与仿真

针对混合动力电动汽车低油耗、低排放的优势,将原车型改装成并联混合动力汽车,并对其动力系统参数进行设计.基于汽车专用仿真软件ADVISOR,选用NEDC典型道路循环工况对所匹配车辆的动力性、燃油经济性及电池的荷电状态SOC等进行了仿真分析.仿真结果表明,改装后的混合动力汽车燃油经济性有较大改善,动力性能基本不变,实现了在...     

电液混合动力客车动力传动系统匹配研究

为解决纯电动汽车存在的冲击电流对蓄电池造成的损害问题,本文以国内某款燃料电池城市客车为研究对象,采用复合储能系统,对电液混合动力客车的动力传动系统进行研究。对整车结构性能参数进行匹配,并对汽车动力驱动系统及动力系统的主要部件进行设计,同时对驱动电机、动力电池和液压动力参数进行匹配。研究结果表明,液压系统和蓄电池系统可以良好的协调配合,增加了混合动力汽车的行驶里程,避免了充放电大电流对动力电池的冲击问题。而且节约了电动汽车的电力消耗,减轻了电池组容量和质量,减小了电动机额定功率和质量,实现零排放,提高了回收效率。该研究为混合动力汽车的发展提供了一种新思路,具有较好的应用前景。     

基于ADVISOR二次开发的复杂混合动力汽车仿真系统

基于ADVIOSR软件,对混合动力汽车仿真系统进行二次开发,建立某特定布置形式的复杂混合动力汽车整车仿真模型和相关控制策略模型,并通过循环工况仿真分析汽车的燃油经济性和动力性。     

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.

     

混合动力汽车发动机起停控制策略

应用PSAT前向仿真软件,对自主开发的双离合器并联混合动力车建立了整车仿真模型。并利用该模型对其发动机起停控制策略进行了仿真优化研究。结果表明:对于该混合动力车型,当发动机起动控制功率为10 kW/1200 r.min-1、停止控制功率为4 kW/800 r.min-1时,整车经济性能最佳,且在该起停功率下发动机、电机工作协调,动力总成工作模式切换平顺;将优化仿真结果应用到实车,验证了该控制策略的实用性。     

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.     

Fuzzy energy management strategy for parallel HEV based on pigeon-inspired optimization algorithm

Improvements in fuel consumption and emissions of hybrid electric vehicle (HEV) heavily depend upon an efficient energy management strategy (EMS). This paper presents an optimizing fuzzy control strategy of parallel hybrid electric vehicle employing a quantum chaotic pigeon-inspired optimization (QCPIO) algorithm. In this approach, the torque of the engine and the motor is assigned by a fuzzy torque distribution controller which is based on the battery state of charge (SoC) and the required torque of the hybrid powertrain. The rules and membership functions of the fuzzy torque distribution controller are optimized simultaneously through the use of QCPIO algorithm. The simulation ground on ADVISOR demonstrates that this EMS improves fuel economy more effectually than original fuzzy and PSO_Fuzzy EMS.     

混合动力轿车振动噪声控制技术

针对混合动力轿车匹配了动力电机、动力电池等新总成和新驱动模式从而导致振动噪声更复杂的问题,研究了混合动力轿车整车振动噪声控制的关键技术。在阐述汽车振动噪声控制原理的基础上,分析了混合动力轿车的结构特点,从振动噪声激励源、结构模态分布、传递路径、评价工况等多个角度阐述了混合动力轿车振动噪声控制的方法,并介绍了某国产混合动力轿车在产品开发中NVH问题的分析和解决途径,为今后混合动力轿车产品开发的振动噪声性能控制提供了比较清晰的技术方向。     

基于动力性与经济性的两挡纯电动汽车传动比优化

为实现纯电动汽车动力系统高效匹配,充分发挥关键部件的最大效用,以实现整车动力性与经济性最佳为目标进行研究,通过对纯电动汽车行业标准和整车参数的收集整理,确定XH2型纯电动汽车基本性能参数,根据前期已做的整车匹配选型工作,确定以动力系统传动比为优化变量的优化方案,利用matlab软件建立动力系统多目标优化数学模型,设定目标函数,引入4种非线性求解方式对模型求解。对比分析结果,得到该车的最佳传动比方案,该方案使整车动力性改善明显,经济性略有提高。     

Development and experimental validation of a novel hybrid powertrain with dual planetary gear sets for transit bus applications

Given that energy conservation and environmental protection are two important goals for the automotive industry, the application of a hybrid electric powertrain can improve vehicle energy efficiency while decreasing fuel consumption and engine emissions. Planetary gear-based power-split hybrid powertrains have become widely used in passenger vehicles, but remain rarely employed on transit buses. This study proposes a novel hybrid powertrain based on two planetary gear sets(CHS) and presents its operating principles along with development of a control strategy for the powertrain. The CHS hybrid powertrain operates in electric mode when the driving power demand is low, and changes to a hybrid electric mode according to the power-split principle of the planetary gear set. To validate the feasibility of the designed CHS hybrid powertrain, a prototype transit bus equipped with the designed hybrid powertrain system was built, and the operating characteristics of the system were analyzed through a performance test conducted on a chassis dynamometer. Compared with a conventional powertrain, the CHS hybrid powertrain can reduce fuel consumption by 39%. Thus, the CHS hybrid powertrain is a good solution for heavy-duty applications such as hybrid transit buses because of its simple structure and excellent fuel efficiency.     

系统效率最优的功率分流式混合动力汽车非线性预测控制

针对一种基于双行星排构型的功率分流式混合动力汽车,建立系统动态模型,准确描述其转速转矩耦合关系,通过建立各部件的效率模型,分析不同模式下系统的工作效率. 设计控制器结构框架,以系统工作效率和电池充放电平衡为目标,构建基于模型预测控制的优化问题,采用一步马尔科夫链模型预测驾驶员需求转矩及车速,将有限时域内的优化问题转化为非线性规划问题,基于序列二次规划算法实现优化求解. 仿真研究表明,基于系统效率最优的预测控制器能够维持电池的充放电平衡,在美国城市驾驶循环（UDDS）下,当电池初始电池荷电状态（SOC）分别为0.50、0.55和0.60时,相较于以发动机燃油消耗最优为目标,车辆等效燃油经济性分别提高了7.17%、5.73%和10.11%,验证了控制器的有效性和优越性.