MAZDA6 SVT2.3L发动机电控系统故障的检测与诊断

SVT 2．3L发动机使用的OBD-Ⅱ自诊断系统的诊断模式有快速试验、系统试验两种，快速试验的目的是提取故障代码，系统试验的目的是检查相关电路、传感器和执行器。详细介绍了这两种试验的步骤和方法。     

稳心高分布对集装箱船总体性能影响研究

以某支线型集装箱船为依托,针对主尺度和主要船型系数相同,稳心高分布不同的两版型线,分别对对应方案的破舱稳性、装载性能、快速性等总体性能进行评估,并对结果进行研究和分析,进而揭示了稳心高分布对集装箱船总体性能影响的一般规律,为设计者合理优化船型稳心高分布以及市场选择合理的船型方案提供了参考和建议。     

某轿车发动机冷却系统水温偏高的分析与改进

轿车发动机水温偏高会导致发动机过热,引起功率下降和油耗增加,是发动机开发过程中必须解决的问题。文章从发动机冷却系统零部件性能入手进行分析,并进行了试验方案设计,找出了引起发动机水温偏高的主要原因。提出通过修改节温器的开启温度和升程,可解决冷却系统水温偏高的难题。为发动机冷却系统故障排除指出了解决思路。     

2011年上半年发动机活塞市场分析及2011年下半年预测

通过分析我国2011年上半年发动机活塞市场产销情况和特点,预测2011年下半年发动机活塞市场产销情况。文章采用统计和对比的方法,对2011年上半年发动机活塞市场进行了分析——2011年上半年发动机活塞市场整体呈现了放缓的态势,活塞企业经营压力进一步增加。指出2011年全年发动机活塞市场呈“烟斗型”趋势,2011年下半年车用发动机活塞市场产销总体上仍将与2011年上半年持平。     

发动机前安装支架强度分析与改进设计

为保证发动机前安装支架的结构强度,对前支架进行了强度仿真分析。使用有限元方法计算前支架的应力及能承受的极限载荷,基于动力总成—悬置系统多体动力学仿真模型计算得到前支架的使用载荷。仿真结果表明,前支架的初始结构存在强度问题,基于仿真分析结果,对前支架初始结构进行了改进设计,道路试验结果表明,前支架的结构改进有效。     

串联式混合动力公交车的参数选择

根据城市公交车的工作特点,对串联式混合动力公交车动力系统主要部件发动机、电动机、电池组等,提出了选择和设计原则,实现优化匹配,提高动力性、燃油经济性以及降低排放性能.     

ISO与BSRA航速修正方法计算实例分析

介绍了ISO与BSRA航速修正方法,并通过采用ISO和BSRA航速修正方法分别对计算实例进行航速修正,得出ISO修正方法可以获得更高的航速指标,并对ISO航速修正方法的合理性和适用性提出建议。     

船用柴油机相继增压气动蝶阀切换时间研究

建立柴油机相继增压蝶阀气动控制系统的物理模型,并应用气压传动系统动力学理论建立蝶阀控制系统数学模型;然后利用MATLAB/Simulink编制的仿真程序对蝶阀转换过程进行仿真计算,结果得出了影响蝶阀切换时间的主要因素及影响规律;最后搭建了蝶阀气动控制系统的试验台,通过试验结果和仿真结果的对比,验证了仿真结果的可靠性;为深入了解蝶阀控制系统的特性提供了理论依据.     

Speed variation during peak and off-peak hours on urban arterials in Shanghai

Increased speed variation on urban arterials is associated with reductions in both operational performance and safety. Traffic flow, mean speed, traffic control parameters and geometric design features are known to affect speed variation. An exploratory study of the relationships among these variables could provide a foundation for improving the operational and safety performance of urban arterials, however, such a study has been hampered by problems in measuring speeds. The measurement of speed has traditionally been accomplished using spot speed collection methods such as radar, laser and loop detectors. These methods can cover only limited locations, and consequently are not able to capture speed distributions along an entire network, or even throughout any single road segment. In Shanghai, it is possible to acquire the speed distribution of any roadway segment, over any period of interest, by capturing data from Shanghai’s 50,000+ taxis equipped with Global Positional Systems (GPS). These data, hereafter called Floating Car Data, were used to calculate mean speed and speed variation on 234 road segments from eight urban arterials in downtown Shanghai. Hierarchical models with random variables were developed to account for spatial correlations among segments within each arterial and heterogeneities among arterials. Considering that traffic demand changes throughout the day, AM peak, Noon off-peak, and PM peak hours were studied separately. Results showed that increases in number of lanes and number of access points, the presence of bus stops and increases in mean speed were all associated with increased speed variation, and that increases in traffic volume and traffic signal green times were associated with reduced speed variation. These findings can be used by engineers to minimize speed differences during the road network planning stage and continuing through the traffic management phase.     

Eco-driver training within the City of Calgary’s municipal fleet: Monitoring the impact

This article highlights eco-driving as an available policy option to reduce climate altering GHG emissions. Recognizing the need to reduce the environmental impact of its fleet operations, the City of Calgary is a leader in developing programs and policies that aim to reduce GHG emissions and associated pollutants resulting from the use of fossil fuels. Among local action taken against climate change, the City sought to quantify CO₂ emissions reductions from their municipal fleet as a result of eco-driver training, with a specific focus on engine idling. Fifteen drivers from the Development & Building Approvals Business Unit had in-vehicle monitoring technology (CarChips®) installed into their vehicles as part of a three-phase research process. The results show that gasoline and hybrid vehicles decreased average idling between 4% and 10% per vehicle per day, leading to an average emissions decrease of 1.7 kg of CO₂ per vehicle per day.