基于发动机在环(EIL)测试的车辆传动系最优匹配的研究

为了在整车研发过程中更有效地进行动力总成的优化匹配,本文基于发动机试验台架,利用dSPACE实时仿真系统和车辆实时动力学模型,建立了发动机在环测试系统,把实物发动机作为整个测试系统的动力源,以消除由于发动机燃烧过程的复杂性而引起的仿真误差,保证了汽车动力性和燃油经济性测试的精确性。试验结果表明,发动机在环测试系统能达到与道路试验相近的测试精度,为整车研发过程提供了有效的试验手段和数据支持,可大大降低开发费用,缩短开发周期,避免不可逆的设计缺陷。     

电控单体泵燃烧系统匹配试验研究

对新132发动机燃烧系统进行了匹配试验,阐述了供油系统改进、喷孔参数匹配、燃烧室优化的整个过程,确定了新燃烧系统合理的供油参数、喷孔方案和燃烧室方案,并对比分析了燃烧系统改进前后燃烧放热过程的差异,最终实现了原机功率提升45%的性能指标。     

天然气汽油双燃料汽车的改进设计

从目前已推广应用的天然气、汽油双燃料发动机的基础上，分析现有的进气系统、燃油供应系统的不足，设计出一套改进优化后的发动机设计方案；并重点改进进气温度、燃油喷射时间与油气混合器的设计；对控制电路、燃料储存提供了升级方案，以提升发动机的燃烧性能与使用寿命。     

天然气发动机最高转速准均质压燃特性的研究

就国产6110增压中冷发动机燃烧天然气的一些性能进行了研究。在压缩终了被少量柴油引燃的均匀天然气混合气的燃烧接近均质压燃燃烧过程。采用了发动机缸内分析以及相应工况的排放测试对比分析方式，对发动机的燃烧特性进行了试验研究。     

JL462Q汽油机的改进设计与试验分析

根据市场需要，对ＪＬ４６２Ｑ汽油机的多个系统进行了改进设计，并采用奥地利ＡＶＬ李斯特内燃机及测试设备公司的测功设备和燃烧分析仪等测试仪器，对改进设计后的汽油机进行了测试与分析，经过改进，汽油机动力性提高了１６％以上，燃油消耗率下降了２８ｇ／ｋｗ．ｈ左右。     

进气道对火花点火发动机性能影响的试验研究

提高火花点火发动机缸内空气运动的滚流与涡流强度，可以增加燃烧室中的湍流强度，加快火焰传播速度和燃烧速率，从而改善燃烧过程，提高发动机的动力性，通过对2气门TJ376Q汽油发动机进行试验，设计了新型进气道，稳流试验台检测表明，所设计的新气道涡流比，滚流比和流量系数比原气道都有较大提高，进气系统的流动特性得到改善，提高了发动机的最大扭矩和最大功率输出。     

XG1041系列轻型载货汽车的改进

为适应市场需求，提高汽车的经济性、动力性和操纵稳定性等，对XG1041系列轻型载货汽车进行了相应的改进。通过对汽车发动机燃烧过程、变速操纵机构、转向器的安装、离合器操纵系统等的改进，使该型汽车的整车性能有了很大的提高。     

单燃料天然气发动机试验研究

将一台6105Q柴油机改造为点燃式单燃料天然气发动机。对发动机的进气系统、燃烧系统等进行了优化设计。试验过程中配用了不同形式的天然气供气系统及点火系统。试验结果表明，天然气供气方式及点火系统的不同对天然气发动机的性能有较大影响。该天然气发动机采用电控多点燃气喷射技术及电控点火技术时，动力性与原柴油机相当，排放性能明显改善。     

提高燃烧速率对发动机性能的影响

针对快燃发动机逐渐增多的这种趋势，论述了提高燃烧速率对发动机性能的影响，为点燃式发动机燃烧室的设计和改进提供了理论根据。     

火花点火发动机爆震燃烧测量方法的初步研究

在一台发动机上利用光纤传感器、压力传感器、振动传感器等对火花点火发动机爆震燃烧进行控制研究，并对测试结果进行比较，同时探索了光纤传感技术在爆震测量中应用的可行性。研究结果表明，光纤传感器与压力传感器在爆震预测与识别上基本等效，但光纤传感器灵敏度与准确度较高，而且光纤传感器还有利于实现其它多项燃烧特性的测试，光纤传感器将成为电控技术中燃烧过程测控信号的重要手段。     

Development of an on-line model to predict the in-cylinder residual gas fraction by using the measured intake/exhaust and cylinder pressures

The in-cylinder RGF (residual gas fraction) of internal combustion engines for new combustion concepts, such as CAI (controlled auto ignition) or HCCI (homogenous charged compression ignition), is a major parameter that affects the combustion characteristics. Thus, measurement or prediction of the cycle-by-cycle RGF and investigation into the relation between the RGF and the combustion phenomena are critical issues. However, on-line prediction of the cycle-by-cycle RGF during engine testing is not always practical due to the requirement of expensive, fast response exhaust-gas analyzers and/or theoretical models that are just too slow for application. In this study, an on-line model that can predict the RGF of each engine cycle and cylinder during the experiment in the test cell has been developed. This enhanced model can predict the in-cylinder charge conditions of each engine cycle during the test in three seconds by using the measured dynamic pressures of the intake, exhaust, and cylinder as the boundary conditions. A Fortran77 code was generated to solve the 1-D MOC (method of characteristics). This code was linked to Labview DAQ as a form of DLL (dynamic link library) to obtain three boundary pressures for each cycle. The model was verified at various speeds and valve timings under the CAI mode by comparing the results with those of the commercial code, GT-Power.     

改善火花助然甲醇发动机小负荷经济性的研究

小负荷时经济性差，是火花助燃甲醇发动机存在的主要问题。以1130立式水冷直喷柴油单缸机为对象，研究了点火系统、压缩比、喷油嘴油线分布和喷油嘴针阀开启压力等因素对火花助燃甲醇发动机小负荷时经济性的影响，并将之与柴油发动机进行了对比分析。     

高压共轨柴油机燃烧与排放模型的研究

利用高速闪光摄影技术,对高压喷射喷雾体空间发展规律进行了试验分析,提出了一个计算高压喷射喷雾体发展的数学公式;在正确描述高压燃油喷雾的基础上,建立了一个能预测高压共轨柴油机性能和排放的准维燃烧模型,此模型改进了燃油喷射模型及碳烟的生成与氧化模型,考虑到燃烧区的区间传热和缸内工质的对流辐射传热,对一台高压共轨柴油机进行了仿真计算。计算与试验结果对比分析表明,改进后的燃烧与排放模型能较好地反映缸内各区的燃烧与排放情况。     

Combustion instabilities and nanoparticles emission fluctuations in GDI spark ignition engine

The main challenge facing the concept of gasoline direct injection is the unfavourable physical conditions at which the premixed charge is prepared and burned. These conditions include the short time available for gasoline to be sprayed, evaporated, and homogeneously mixed with air. These conditions most probably affect the combustion process and the cycle-by-cycle variation and may be reflected in overall engine operation. The aim of this research is to analyze the combustion characteristics and cycle-by-cycle variation including engine-out nanoparticulates of a turbocharged, gasoline direct injected spark ignition (DISI) engine at a wide range of operating conditions. Gasoline DISI, turbo-intercooled, 1.6L, 4 cylinder engine has been used in the study. In-cylinder pressure has been measured using spark plug mounted piezoelectric transducer along with a PC based data acquisition. A single zone heat release model has been used to analyze the in-cylinder pressure data. The analysis of the combustion characteristics includes the flame development (0–10% burned mass fraction) and rapid burn (10–90% burned mass fraction) durations at different engine conditions. The cycle-by-cycle variations have been characterized by the coefficient of variations (COV) in the peak cylinder pressure, the indicated mean effective pressure (IMEP), burn durations, and particle number density. The combustion characteristics and cyclic variability of the DISI engine are compared with data from throttle body injected (TBI) engine and conclusions are developed.     

某混合动力车型怠速不规则抖动问题的分析与解决

文章针对某混合动力车型怠速工况不规则抖动问题,采用振动测试明确了问题的抖动特征,并通过发动机怠速工况燃烧稳定性及动力总成悬置系统刚体模态测试结果,确认了产生抖动问题的原因,最终提出调整排气VVT相位来改善发动机怠速工况的燃烧稳定性,进而解决了车内不规则怠速抖动问题。该研究对解决混合动力新能源车型的怠速抖动问题具有重要参考意义。     

内燃机动态测试装置及动态试验方法研究

通过对内燃机动态测试装置的研究，并与传统的动态性能测试方法相比较，分析了基于该测试装置可进行的内燃机动态试验方法．包括模拟整车试验、电控内燃机的优化匹配试验、内燃机排放实时测试试验等。     

共轨喷射系统参数对柴油机性能影响的模拟计算

通过应用AVL公司先进的发动机模拟计算软件BOOST建立了电控D6114ZB发动机的仿真计算模型并进行试验验证;应用MCC燃烧模型,分析了在标定工况相同喷油量和喷油提前角下不同的喷油规律对发动机性能的影响;给出了共轨压力和喷油规律对发动机性能和排放等的影响规律。     

Atkinson循环发动机紧凑型燃烧系统研究

基于Atkinson理论循环建立混合动力汽油机的性能仿真模型,确定出合适的压缩比与配气正时。分别采用增加活塞顶面凸起高度(上凸型燃烧室)和减小缸盖上燃烧室高度的方式来满足Atkinson循环汽油机对压缩比的要求。同时为适应紧凑结构减小气门升程、直径(紧凑型燃烧室)。通过三维CFD计算分析,比较了两种燃烧室缸内燃烧及流动特性,发现紧凑型燃烧室能够在火核形成及扩散时期在缸内产生更高的湍动能,有利于加快火焰传播,使燃烧持续期缩短9.8%~24.4%,可显著提高燃油经济性。在混合动力用Atkinson循环发动机开发中使用紧凑型燃烧室,具有重要的应用价值。     

Artificial neural network approach to study the effect of injection pressure and timing on diesel engine performance fueled with biodiesel

This study intends to predict the influence of injection pressure and injection timing on performance, emission and combustion characteristics of a diesel engine fuelled with waste cooking palm oil based biodiesel using the artificial neural network (ANN) model. To acquire data for training and testing in the proposed ANN, experiments were carried out in a single cylinder, four stroke direct injection diesel engine at a constant speed of 1500 rpm and at full load (100%) condition. From the experimental results, it was observed that waste cooking palm oil methyl ester provided better engine performance and improved emission and combustion characteristics at injection pressure of 280 bar and timing of 25.5° bTDC. An ANN model was developed using the data acquired from the experiments. Training of ANN was performed based on back propagation learning algorithm. Multilayer perceptron (MLP) network was used for non-linear mapping of the input and output parameters. Among the various networks tested the network with two hidden layers and 11 neurons gave better correlation coefficient for the prediction of engine performance, emission and combustion characteristics. The ANN model was validated with the test data which was not used for training and was found to be very well correlated.     

Flame propagation model for a rotary Atkinson cycle SI engine

The rotary Atkinson cycle engine includes two modes of combustion: combustion initiation and propagation in ignition chamber and then flame jet entrainment and propagation in expansion chamber. The turbulent flame propagation model is a predictive model for SI engines which could be developed for this type of combustion for the rotary Atkinson engine similar to the congenital engine with pre-chamber; in split combustion chamber SI engines, small amount of fuel is burned in pre-chamber while the fuel burned in ignition chamber of rotary Atkinson cycle is considerable. In this study a mathematical modeling of spherical flame propagation inside ignition chamber and new combined conical flame and spherical flame propagation model of a new two-stroke Atkinson cycle SI engine will be presented. The mathematical modeling is carried out using two-zone combustion analysis and the model also is validated against experimental tests and compared with previous study using non-predictive Weibe function model.