全路面汽车起重机基本性能分析方法

正确确定动力性、燃料经济性是进行全路面汽车起重机动力传动系统最优匹配的重要任务。基于全路面汽车起重机动力传动系统的特点，在分析确定发动机与液力变矩器共同工作性能的基础上提出了全路面汽车起重机动力性、燃料经济性的模拟计算方法，并用实例进行了验证。     

基于Cruise的乘用车动力性经济性仿真及优化

汽车动力性经济性是汽车性能开发的重要内容。本文首先阐述了动力性经济性计算理论,然后以某型乘用车为例,对初步选定的动力传动系统参数,利用Cruise软件进行了整车动力性、经济性仿真;根据仿真计算结果,对整车动力传动系统参数进行了相应的优化,在满足整车动力性要求的前提下,提高了燃油经济性能力,使其满足国家第四阶段油耗限值的要求。论文对乘用车动力性经济性开发具有一定的指导作用。     

EQ611OHEV并联混合动力系统参数匹配及性能研究

阐述了EQ6110HEV并联混合动力总成结构和采用的控制策略,提出了并联混合动力汽车动力传动系统参数匹配方法及过程,分析了电机峰值功率及基速点的选取对汽车动力性和经济性的影响.并将匹配方案仿真结果与试验结果进行比较,结果说明该匹配方法正确可行,可为动力总成优化提供理论依据.     

EQ6110HEV并联混合动力系统参数匹配及性能研究

阐述了EQ6110HEV并联混合动力总成结构和采用的控制策略，提出了并联混合动力汽车动力传动系统参数匹配方法及过程，分析了电机峰值功率及基速点的选取对汽车动力性和经济性的影响。并将匹配方案仿真结果与试验结果进行比较，结果说明该匹配方法正确可行，可为动力总成优化提供理论依据。     

重型半挂牵引车模拟油耗试验研究

汽车燃油消耗不仅与发动机和底盘的制造水平有关,还与汽车传动系统的动力匹配有关。动力传动系统匹配合理的车辆不但动力性、经济性好,而且操纵舒适性也会得到提升。文章通过运用仿真软件,对不同动力总成配置车辆进行模拟计算对比,再用实车进行验证,得出最优的动力总成匹配方案的方法进行研究。     

纯电动汽车传动系统参数匹配及优化

纯电动汽车的传动系统参数匹配是车辆节能设计的关键,关系到整车经济性与动力性的表现。为实现纯电动汽车传动系统参数的合理匹配与优化,以整车动力性能和续驶里程要求为设计依据,实现对某纯电动汽车电机、电池、减速器的参数匹配。并运用人群搜索算法对汽车传动系统参数进行优化,优化结果在AVLCruise软件仿真中表现出较好的整车综合性能。     

某型越野载货车动力传动系统匹配与优化

本文首先选定动力性、燃油经济性为评价指标,并确定这些指标的目标值;然后依据实际情况,确定升级车型动力传动系统的结构形式和参数,并运用仿真软件,建立了整车仿真模型,对其动力性、燃油经济性进行了模拟计算和讨论,对升级车型的性能进行了实车验证,仿真计算结果和试验结果基本吻合,验证了仿真模型与结果的可信性。根据仿真分析的结果,优化了动力传动系统,并对优化方案重新仿真模拟和实车验证,结果表明,采用优化方案后,整车的动力性能有了明显提升,同时具有良好的燃油经济性能。     

汽车传动系最优匹配评价指标的探讨

本文探讨了汽车动力传动系统最优匹配的评价指标,提出了动力性发挥程度的评价指标——驱动功率损失率、经济性发挥程度的评价指标——有效效率利用率、用能量效率指标来统一汽车动力性与燃油经济性指标,并以上述三个指标作为动力传动系统最优匹配的评价指标。     

汽车传动系参数的模糊优化

在建立汽车动力性与燃料经济性模拟计算方法的基础上，提出了应用模糊数学方法描述汽车动力性限制的约束条件，以汽车多工况燃料经济性为目标函数，优化了汽车的传动系数，从而使整车燃料经济性获得改善。     

四轮驱动燃料电池汽车动力系统参数匹配与优化

针对某多电机双能源四轮驱动燃料电池汽车动力参数匹配进行了研究。根据其整车结构、行驶工况以及控制策略,对动力系统参数进行初步选择,并以动力系统各部件尺寸最小为目标函数、相应参数为设计变量、整车动力性能为约束条件进行优化计算,得出动力传动系统合理的参数匹配,不仅动力性完全满足设计要求,而且经济性得到提高。     

Fault classification method for the driving safety of electrified vehicles

A fault classification method is proposed which has been applied to an electric vehicle. Potential faults in the different subsystems that can affect the vehicle directional stability were collected in a failure mode and effect analysis. Similar driveline faults were grouped together if they resembled each other with respect to their influence on the vehicle dynamic behaviour. The faults were physically modelled in a simulation environment before they were induced in a detailed vehicle model under normal driving conditions. A special focus was placed on faults in the driveline of electric vehicles employing in-wheel motors of the permanent magnet type. Several failures caused by mechanical and other faults were analysed as well. The fault classification method consists of a controllability ranking developed according to the functional safety standard ISO 26262. The controllability of a fault was determined with three parameters covering the influence of the longitudinal, lateral and yaw motion of the vehicle. The simulation results were analysed and the faults were classified according to their controllability using the proposed method. It was shown that the controllability decreased specifically with increasing lateral acceleration and increasing speed. The results for the electric driveline faults show that this trend cannot be generalised for all the faults, as the controllability deteriorated for some faults during manoeuvres with low lateral acceleration and low speed. The proposed method is generic and can be applied to various other types of road vehicles and faults.     

集成化仿真系统在气制动TCS控制器开发中的应用

利用Simulink/xPC实时仿真软硬件环境,设计了集成化TCS仿真软硬件系统。建立了包括整车、动力传动系、制动器、轮胎、路面的动力学模型,应用离线仿真、快速原型仿真和ECU在环仿真等方法开发了气制动TCS控制器控制逻辑。经实车试验表明,系统能有效控制驱动轮的打滑趋势,提高汽车加速性能,改善发动机的工作条件。     

某6×4搅拌车传动系优化匹配

针对某6×4搅拌车产品在市场上出现的离合器早期磨损、飞轮壳开裂等现象,从离合器、传动系速比、动力总成悬置三方面对该产品进行了传动系优化匹配。结果表明,优化匹配后的车型不仅解决了上述问题,而且有效地提升了产品的动力经济性。     

Integrated modeling and optimization of a parallel hydraulic hybrid bus

Hydraulic hybrid powertrains are a critical technology used in buses to improve fuel economy and emission performance. New exploration in configuring a parallel hydraulic hybrid bus (PHHB) is developed in this paper with no changes made to the conventional base bus driveline. An integrated model and simulation of the parallel hydraulic hybrid bus is built based on AMESim, which is used to model the hydraulic powertrain and conventional bus driveline, and interlinked with a Matlab/Simulink/Stateflow model of the control unit. Compared to conventional buses, the fuel economy of the PHHB improved by 28% in real road tests at the SMVIC (National Center of Supervision and Inspection on Motor Products Quality (Shanghai)); the approximate improvement of fuel economy was 30% in simulated runs, which validates our model. Then a Non-linear Programming by Quadratic Lagrangian algorithm (NLPQL), is applied to optimize control strategies for improving fuel economy and emissions. Simulations also demonstrate that fuel economy and emission performance can be significantly improved. However, optimum parameters for maximum fuel economy and minimum emissions are not consistent. Simulation results show tradeoffs between fuel economy and emissions in PHHB, and optimal parameters can be selected by balancing design objectives.     

基于GT—DRIVE的整车动力性燃油经济性仿真

汽车的动力性和燃油经济性是其最基本与最重要的性能之一。为在汽车开发之初分析整车的动力性和燃油经济性,文章研究了动力性和燃油经济性的评价指标,合理选取整车参数,利用GTDRIVE软件对整车进行动力学和运动学建模与仿真计算。将仿真结果与试验结果对比,合理设置边界条件修正模型,最终得到较为精准的模型,使得在没有样车阶段,利用GT—DRIVE软件仿真可以得到整车的动力性和燃油经济性参数,能够对动力系统的匹配方案进行定量评价,为以后汽车的动力系统匹配优化提供一定的理论参考。     

A Fuzzy Logic Direct Yaw-Moment Control System for All-Wheel-Drive Electric Vehicles

Summary In-wheel-motors are revolutionary new electric drive systems that can be housed in vehicle wheel assemblies. Such E-wheels permit packaging flexibility by eliminating the central drive motor and the associated transmission and driveline components, including the transmission, the differential, the universal joints and the drive shaft. Apart from many advantages of such a system, unequalled independent wheel control allows vehicle dynamic improvement to assist the driver in enhancing cornering and straight-line stability on slippery roads and in adverse ground conditions. In this paper a Fuzzy logic driver-assist stability system for all-wheel-drive electric vehicles based on a yaw reference DYC is introduced. The system assists the driver with path correction, thus enhancing cornering and straight-line stability and providing enhanced safety. A feed-forward neural network is employed to generate the required yaw rate reference. The neural net maps the vehicle speed and the steering angle to give the yaw rate reference. The vehicle true speed is estimated using a multi-sensor data fusion method. Data from wheel sensors and an embedded accelerometer are fed into an estimator, where a Fuzzy logic system decides which input is more reliable. The efficiency of the proposed system is approved by conducting a computer simulation. The proposed control system is an effective and easy to implement method to enhance the stability of all-wheel-drive electric vehicles.     

A Fuzzy Logic Direct Yaw-Moment Control System for All-Wheel-Drive Electric Vehicles

Summary In-wheel-motors are revolutionary new electric drive systems that can be housed in vehicle wheel assemblies. Such E-wheels permit packaging flexibility by eliminating the central drive motor and the associated transmission and driveline components, including the transmission, the differential, the universal joints and the drive shaft. Apart from many advantages of such a system, unequalled independent wheel control allows vehicle dynamic improvement to assist the driver in enhancing cornering and straight-line stability on slippery roads and in adverse ground conditions. In this paper a Fuzzy logic driver-assist stability system for all-wheel-drive electric vehicles based on a yaw reference DYC is introduced. The system assists the driver with path correction, thus enhancing cornering and straight-line stability and providing enhanced safety. A feed-forward neural network is employed to generate the required yaw rate reference. The neural net maps the vehicle speed and the steering angle to give the yaw rate reference. The vehicle true speed is estimated using a multi-sensor data fusion method. Data from wheel sensors and an embedded accelerometer are fed into an estimator, where a Fuzzy logic system decides which input is more reliable. The efficiency of the proposed system is approved by conducting a computer simulation. The proposed control system is an effective and easy to implement method to enhance the stability of all-wheel-drive electric vehicles.     

重型汽车传动系结构参数设计

分析了基于发动机特性场的重型汽车传动系结构参数设计的原则，讨论了传动系各速比设计的评价目标和方法。通过对最大传动比、最小传动比、中间速比设计原则的讨论，阐述了传动系主要结构参数的设计思路。以某车型已确定的发动机特性场为例，根据使用要求，着重分析了在按照国家标准和实际使用情况下提高燃油经济性的传动系结构参数优化。     

CVT ratio control with consideration of CVT system loss

A modified CVT ratio map is proposed to obtain the improved fuel economy for a metal belt CVT. Since the CVT system loss, which occupies most of the drivetrain loss, depends on the engine speed, input torque, primary and secondary actuator pressure, a modified CVT ratio map is produced to realize the highest engine-CVT overall efficiency through the consideration of CVT system loss. The modified CVT ratio map is constructed with respect to the demanded vehicle power and present vehicle speed based on the steady state CVT system loss. Using the modified CVT ratio map, performance simulations are carried out using the dynamic models of the CVT powertrain. The simulation results indicate that the modified CVT ratio control provides improved engine-CVT overall system efficiency, and improves the fuel economy of the federal urban driving schedule by 4.9 percent.     

增程式电动汽车动力系统参数匹配及控制策略优化

针对增程式电动汽车动力系统参数匹配的问题,在Simulink-Cruise联合仿真平台上建立了用于匹配设计的整车初始模型,提出了基于典型工况统计分析的匹配设计方法,对增程式动力系统进行了稳态匹配.为了进一步验证设计参数的合理性,采用恒温式定点控制策略和CD-CS型最优曲线功率跟随控制策略进行了仿真对比分析,验证了匹配参...