Customizing driving cycles to support vehicle purchase and use decisions: Fuel economy estimation for alternative fuel vehicle users

Wider deployment of alternative fuel vehicles (AFVs) can help with increasing energy security and transitioning to clean vehicles. Ideally, adopters of AFVs are able to maintain the same level of mobility as users of conventional vehicles while reducing energy use and emissions. Greater knowledge of AFV benefits can support consumers’ vehicle purchase and use choices. The Environmental Protection Agency’s fuel economy ratings are a key source of potential benefits of using AFVs. However, the ratings are based on pre-designed and fixed driving cycles applied in laboratory conditions, neglecting the attributes of drivers and vehicle types. While the EPA ratings using pre-designed and fixed driving cycles may be unbiased they are not necessarily precise, owning to large variations in real-life driving. Thus, to better predict fuel economy for individual consumers targeting specific types of vehicles, it is important to find driving cycles that can better represent consumers’ real-world driving practices instead of using pre-designed standard driving cycles. This paper presents a methodology for customizing driving cycles to provide convincing fuel economy predictions that are based on drivers’ characteristics and contemporary real-world driving, along with validation efforts. The methodology takes into account current micro-driving practices in terms of maintaining speed, acceleration, braking, idling, etc., on trips. Specifically, using a large-scale driving data collected by in-vehicle Global Positioning System as part of a travel survey, a micro-trips (building block) library for California drivers is created using 54 million seconds of vehicle trajectories on more than 60,000 trips, made by 3000 drivers. To generate customized driving cycles, a new tool, known as Case Based System for Driving Cycle Design, is developed. These customized cycles can predict fuel economy more precisely for conventional vehicles vis-à-vis AFVs. This is based on a consumer’s similarity in terms of their own and geographical characteristics, with a sample of micro-trips from the case library. The AFV driving cycles, created from real-world driving data, show significant differences from conventional driving cycles currently in use. This further highlights the need to enhance current fuel economy estimations by using customized driving cycles, helping consumers make more informed vehicle purchase and use decisions.     

复杂载荷下裂纹SIF计算的子模型技术

对船舶与海洋工程结构物进行疲劳评估,首先要通过子模型技术解决复杂应力场中裂纹应力强度因子(SIF)的计算问题。针对子模型技术实现过程繁杂且效率较低的问题,分别提出"逐周分层法","转换矩阵法"及"映射划分法"并基于VBA及APDL语言编写插件MPCarrangerV1.0,FEMcoortransferV1.0及CrackmapperV1.0,解决从Patran整体有限元模型到Ansys子模型时壳体单元间MPC创建低效、不同坐标系间节点位置转换困难及裂纹自由划分的局限性问题。基于DNV及ABS相关规范,以某B型LNG燃料舱的疲劳热点为例,对改进的子模型技术进行验证,结果表明经改进的子模型技术可成功施加合理边界条件并实现SIF的求解,可为子模型技术快速实现复杂载荷下裂纹SIF的准确计算提供参考。     

基于生长曲线函数的货车运营环节碳达峰研究

货车是我国大气环境污染的重要来源之一，也是影响我国碳达峰总体目标实现的重要因 素。本文从货车运营环节入手，在运用生长曲线函数对货车保有量进行预测的基础上，对不同类 型货车的保有量和单车碳排放变化进行研究，并从货车节能技术发展、新能源货车推广和应用进 程两方面入手，分3种情景对货车运营环节中产生的碳排放总量趋势进行预判，推演货车运营环 节的碳达峰时间。研究结果表明，只有同时加快货车节能技术发展以及新能源货车推广和应用 进程，货车运营环节中产生的碳排放总量规模才能得到有效抑制并逐渐减少。若到 2030 年货 车单车燃料消耗水平较 2019 年降低 20%以上，新能源货车在货车整体保有量中的占比达到 20%，到 2060 年货车单车燃料消耗水平较 2019 年降低 50%，新能源货车占比达到 50%，则货车 运营环节碳达峰时间将缩短至2030年左右实现，2030年后货车运营环节产生的碳排放总量规 模将逐渐减少。     

4缸柴油机停缸仿真及试验研究

采用停缸技术对小型4缸柴油机的燃油消耗率和排放进行了仿真和试验研究。利用GT-Power建立模型并模拟了停缸位置对燃油消耗率的影响,结合传热损失等因素确定了试验停缸位置。在断油式停缸和断油断气式停缸模式下进行试验和燃烧分析。试验结果表明:停缸后缸内等容度降低;断油式停缸后燃油消耗率和NOx增大但炭烟减少;断油断气式停缸后部分试验点燃油消耗率降低,但NOx和炭烟排放增加。     

VVL耦合喷油策略对GDI汽油机混合气形成的影响

利用三维仿真软件Ansys Fluent建立了GDI汽油机的仿真计算模型,就变气门升程耦合不同喷油策略对缸内气流运动和混合气形成的影响进行了模拟计算。结果表明,与大气门升程工况相比,小气门升程工况的缸内湍流运动强度、燃油蒸发和湿壁情况以及点火时刻混合气质量都明显改善;在小气门升程工况,采用两段喷油会缩短油气混合时间,过度推迟二次喷油时刻会恶化混合气质量和燃油湿壁情况;在大气门升程工况,两段喷油会改善混合气均匀性,随着二次喷油时刻推迟,燃油蒸发量增加,湿壁情况加剧,混合气质量得到改善;小气门升程工况下采用二次喷油时刻为470°曲轴转角,前后两次喷油量比例为7∶3的两段喷油方案在燃油蒸发和湿壁以及点火时刻缸内混合气质量这几个方面的效果都很好,是最合理的方案。     

小型直喷式柴油机燃用生物质能燃料的性能研究

文章主要研究了生物质能混合燃料在柴油机上的应用,通过在一台小型直喷式柴油机上进行不同组分柴油-生物柴油-乙醇混合燃料的燃烧、油耗和排放性能对比试验,分析了乙醇含量的改变对混合燃料的发动机燃烧压力、滞燃期、放热规律、比油耗和排放的影响．     

柴油发动机掺烧生物柴油的经济性研究

为了更好地评价柴油机燃用生物柴油的经济性,分析了生物柴油和0#石化柴油的理化性质,分别对生物柴油的体积分数为0.2,0.5,1的B20、B50、B100 3种燃料和0#柴油在495Q3柴油机上进行了试验。试验结果显示燃用3种燃料的燃油消耗率比0#柴油在中小负荷时平均增加5.30%,9.65%,19.04%,大负荷时平均增加2.86%,4.75%,9.64%;能量等值折合油耗率在中小负荷时平均增加2.65%,2.63%,5.74%,大负荷时平均降低0.26%,1.97%,4.80%。     

Effects of rosiglitazone on rabbit atherosclerosis

We sought to validate magnetic resonance imaging(MRI) for documenting the effects of rosiglitazone on rabbit atherosclerosis and the possible mechanism by treatment on the lesions.24 New Zealand white rabbits were randomly divided into normal group, control group and treatment group.After 4 weeks, all rabbits underwent MRI.After examination, the number of circulating endothelial progenitor cells(EPCs) and level of lipid, glucose, nitric oxide(NO) and superoxide anion(O-2·) were measured.MRI demonstrated the regression of atherosclerotic lesions by rosiglitazone which has good correlation with histopathology.Treatment not only increased the level of EPCs and NO, but also raised the ability of inhibition of O2-·.MRI is a promising noninvasive technology to detect the effects of therapeutic interventions.Rosiglitazone slows the progression of atherosclerosis that may in part attribute to its improvement of mobilization of EPCs and the reduced oxidative stress.