轻型客车动力总成悬置系统NVH优化与试验研究

动力总成悬置系统的设计是汽车隔振和降噪的关键技术之一。本文以某轻型客车动力总成悬置系统为研究对象,对其进行NVH优化。首先,通过锤击法刚体模态试验,得到动力总成的转动惯量与惯性积及质心位置;对动力总成悬置系统进行解耦布置,确定后悬置的安装位置;建立动力总成悬置系统六自由度刚体动力学模型,对悬置刚度参数进行能量解耦优化,通过悬置系统的频率分布、振动能量分布以及位移限值的计算,验证优化效果;最后,进行整车试验验证。     

内燃动车组动力总成构架优化设计

通过有限元手段，对内燃动车组动力总成构架进行了对比分析与优化设计，同时，对优化后的构架开展了静强度及疲劳强度的试验验证，实现了预期目标。     

重型自卸车动力总成悬置优化设计

为降低重型自卸车底盘振动,提高乘坐舒适性,建立了动力总成四点悬置系统模型.利用打击中心和能量解耦理论对悬置软垫的位置及刚度进行了优化,计算并分析了优化前后动力总成悬置系统的模态频率及能量分布.优化后动力总成悬置系统模态频率有效地避开了发动机的怠速激励从而避免了共振,同时各自由度下的解耦率也大幅提高.通过定置试验对优化方...     

6DY柴油机机油冷却器的试验研究与设计优化

为验证6DY柴油机机油冷却器的冷却效果,对该机油冷却器进行发动机台架试验研究,获取散热量和总成压阻数据;在对试验数据进行综合分析的基础上,针对总成阻力过大的情况,对该机油冷却器的基本结构进行设计优化,使其满足发动机的使用要求。     

D4114柴油机动力总成悬置系统的分析与优化

以D4114柴油机和专用压路机变速箱组成的振动压路机动力总成为研究对象,建立了该动力总成的动力学模型.以提高上下移动和绕曲轴中心线转动模态解耦率为主要目标,调整悬置的刚度.经过试验验证,优化后的悬置有效地改善了该动力总成悬置系统的隔振性能.     

动力总成动力吸振器特性研究

采用合适的动力吸振器对汽车动力总成的弯曲共振有较好的抑制作用,动力总成工况复杂,吸振器选择不合理反而可能适得其反。通过对动力总成吸振器进行试验研究,分析了动力总成吸振器的温度特性和激励特性,并应用于动力吸振器设计,成功解决了某车型由于动力总成弯曲共振导致的车内振动噪声大的问题。     

利用能量解耦法解决某款轻卡怠速抖动问题的研究

利用能量解耦法对北汽福田BJ1049轻卡动力总成悬置进行优化,在不改变悬置安装位置及安装角度的情况下,通过改变悬置软垫三方向刚度值,使动力总成空间六自由度运动方向能量相互解耦,减小动力总成振动向外界传递。     

某电控发动机匹配30吨挖掘机应用研究

基于一台30 t挖掘机开展某电控发动机的匹配研究,掌握30 t挖掘机动力系统总成匹配和发动机优化方法。本项目针对原装挖掘机动力系统各主要零部件进行改装设计和试制加工,完成对动力系统总成的优化匹配及换装。对改装后的挖掘机进行全面的性能试验验证,并与原装挖掘机性能进行对比分析,达到并超越原装机的技术水平。     

基于Cruise的客车动力总成匹配及仿真分析

介绍了运用AVL公司Cruise软件对客车动力匹配进行模拟计算。该软件将发动机、变速箱、后桥等影响整车动力性、经济性的相关因素整合成一整套动力总成系统。通过大量的实践证明,这种对于动力总成系统的优化,可以更好满足整车厂对于整车经济型和动力型的要求。     

基于整车性能的重型车用发动机优化配置

以一款载重卡车动力总成选配为例,根据国家标准和实际使用状况,以动力性和经济性为评价目标,通过模拟计算和试验对可供选配的三款发动机进行匹配计算和分析。结果表明：样车配置A款发动机的性能优于B款发动机,而配置经改进后的B款发动机(C款)其性能有了明显的提高;若实现整车和发动机的同步开发,可以大幅提高整车的动力性、经济性。为整车动力总成优化和车用发动机的特性优化提供了可行的技术路线。     

基于重型并联混合动力车辆混合度的性能分析

动力系统的匹配直接关系到车辆的性能,在对混合动力车辆的研究中有着非常重要的地位,而混合度的研究是动力系统匹配中的关键.本文基于已选定的额定功率为220kw的柴油发动机,对混合动力车辆的电机进行匹配,对不同混合度下的车辆模型进行性能分析.通过Avl-Cruise软件对各混合度下的车辆模型进行仿真对比,选用等效油耗以及比排放量为评价指标,对不同混合度下混合动力车辆的性能进行了比较,研究了随着混合度的变化,车辆的经济性以及排放性能变化的规律,提出了适用于本混合动力系统的最佳混合度.     

Model-based power control strategy development of a fuel cell hybrid vehicle

An integrated procedure for math modeling and power control strategy design for a fuel cell hybrid vehicle (FCHV) is presented in this paper. Dynamic math model of the powertrain is constructed firstly, which includes four modules: fuel cell engine, DC/DC inverter, motor-driver, and power battery. Based on the mathematic model, a power control principle is designed, which uses full-states closed-loop feedback algorithm. To implement full-states feedback, a Luenberger state observer is designed to estimate open circuit voltage (OCV) of the battery, which make the control principle not sensitive to the battery SOC (state of charge) estimated error. Full-states feedback controller is then designed through analyzing step responding of the powertrain and test data. At last of the paper, the results of simulation and field test are illustrated. The results show that the power control strategy designed takes into account the performance and economy characteristics of components of the FCHV powertrain and achieves the control object excellently.     

Drive-train simulator for a fuel cell hybrid vehicle

The model formulation, development process, and experimental validation of a new vehicle powertrain simulator called LFM (Light, Fast, and Modifiable) are presented. The existing powertrain simulators were reviewed and it was concluded that there is a need for a new, easily modifiable simulation platform that will be flexible and sufficiently robust to address a variety of hybrid vehicle platforms. First, the structure and operating principle of the LFM simulator are presented, followed by a discussion of the subsystems and input/output parameters. Finally, a validation exercise is presented in which the simulator's inputs were specified to represent the University of Delaware's fuel cell hybrid transit vehicle and “driven” using an actual drive cycle acquired from it. Good agreement between the output of the simulator and the physical data acquired by the vehicle's on-board sensors indicates that the simulator constitutes a powerful and reliable design tool.     

汽车动力总成的区间模糊多目标优化

在研究发动机动力总成时,考虑系统参数的稳健区间,结合能量解耦,系统固有频率的合理配置,动反力和力矩最小各项指标,运用模糊数学模型,加入人的主观判决,使数学模型更真实地满足设计者在不同情况下提出的不同要求。计算实例表明,该方法有效。     

Fuel cell hybrid powertrains for use in Southern Italian railways

This paper analyses the use of a fuel cell hybrid powertrain for different uses on rail. Four vehicles are numerically tested on suitable tracks. The implemented model calculates the vehicle power demand, starting from track altitude, train speed and vehicle characteristics. For each track, a powertrain composed of a fuel cell system and an energy storage system, battery and/or supercapacitor, is used, suitable for the purpose. Each component is modelled separately and is validated. It should be underlined that the whole system is validated, by means of experimental data found in the literature. A comparison analysis between the simulation results is done: the H₂ consumption varies between 5 kg/cycle and 160 kg/cycle, according to the track energy consumption, while the fuel cell efficiency is between 50% and 47%, since the fuel cell works at different power rates.     

电源车动力系统控制策略研究

介绍了新型电源车动力系统中发动机和液压系统的控制策略。通过对整车运行状况分析，总结了发动机和液压系统控制的主要任务。以电子调速器为基础，借鉴有限状态机理论设计了发动机管理系统。采用前馈与反馈控制相结合的方法设计了液压系统控制器。最后通过停车发电试验对系统性能进行了验证，结果表明该电源车能够稳定的达到三级移动电站标准，同时具备行车发电潜力。新的动力系统结构很好的保证了整车机动性，具有广泛的应用前景。     

超轻度混合动力汽车怠速启停启步控制研究

对各动力元件进行选型和参数设计，分析怠速启停启步各阶段的控制流程和平稳启步的控制方法。利用Matlab／Simulink建立整车仿真模型，并对汽车怠速启停启步过程进行仿真分析，验证了所制定控制策略的可行性，为汽车的进一步试验和开发研究奠定基础。     

Electric vehicle energy consumption modelling and estimation—A case study

Electric vehicles (EVs) have a limited driving range compared to conventional vehicles. Accurate estimation of EV's range is therefore a significant need to eliminate “range anxiety” that refers to drivers' fear of running out of energy while driving. However, the range estimators used in the currently available EVs are not sufficiently accurate. To overcome this issue, more accurate range estimation techniques are investigated. Nonetheless, an accurate power‐based EV energy consumption model is crucial to obtain a precise range estimation. This paper describes a study on EV energy consumption modelling. For this purpose, EV modelling is carried out using MATLAB/Simulink software based on a real EV in the market, the BMW i3. The EV model includes vehicle powertrain system and longitudinal vehicle dynamics. The powertrain is modelled using efficiency maps of the electric motor and the power electronics' data available for BMW i3. It also includes a transmission and a battery model (ie, Thevenin equivalent circuit model). A driver model is developed as well to control the vehicle's speed and to represent human driver's behaviour. In addition, a regenerative braking strategy, based on a series brake system, is developed to model the behaviour of a real braking controller. Auxiliary devices are also included in the EV model to improve energy consumption estimation accuracy as they can have a significant impact on that. The vehicle model is validated against published energy consumption values that demonstrates a satisfactory level of accuracy with 2% to 6% error between simulation and experimental results for Environmental Protection Agency and NEDC tests.