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设计了神经网络诊断系统,并用于融合分析废气含量、发动机转速、氧传感器信号及某些工作状态信息诊断汽车故障.设计方法为应用遗传算法的复制、交换、变异过程代替BP网络的反向传播过程,并对遗传算法进行改进研究.实践证明,这种基于遗传神经网络方法的故障诊断系统具有收敛速度快、推广性能强的特点,提高了汽车故障诊断系统的效率和准确性. 相似文献
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CO2排放是汽车污染物排放检测的一项重要技术指标,它表征的是汽车排出污染物的多少和车辆能耗高低的参考标准之一,用以控制汽车使用中产生的污染物排放量,避免对环境产生损害。按照GB 18352.6-2016《轻型汽车污染物排放限值及测量方法(中国第六阶段)》的规定使用全球统一的轻型车测试循环工况进行常温下冷启动后污染物排放试验,并对测量结果进行不确定度评定。文章阐述了轻型汽油车CO2排放测试所用的测试原理、法规工况曲线、测试设备、数学模型等,通过分析影响试验结果的各因素来源,综合计算得出轻型车CO2排放测试结果的扩展不确定度和相对扩展不确定度。 相似文献
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The sub-chamber type gasoline engine was suggested to be a type of clean engine, but the presence of residual gas in the sub-chamber
was a serious fault. In this experimental study, the CNG direct injection method was applied to scavenge residual gas from
the sub-chamber. The CVC (constant volume chamber) is divided into the sub-chamber and main-chamber and used as the main experimental
apparatus. Because each combustion chamber of the CVC has an injector, the injector can be used freely, at the same time or
individually. Therefore, the scavenging efficiency can be improved by changing injection times for the sub-chamber. The experimental
results demonstrated that when all the fuel was injected into the sub-chamber, the combustion duration was shortened by 30%
compared to that of injection into the main-chamber. Although residual gas was observed in the CVC, when the frequency of
injections into the sub-chamber increased, good combustion characteristics were obtained. 相似文献
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在研究制定我国摩托车燃油蒸发排放标准时,不仅要考虑我国摩托车工业的现状,还要最大限度地与国际排放法规接轨.由于燃油蒸发排放标准在我国是首次制定,并且加装摩托车燃油蒸发排放控制装置后,会对摩托车原来的起动性能、怠速性能、尾气排放等产生一定影响,建议摩托车生产企业在技术上积极应对,做好匹配工作,生产满足国家标准要求的产品. 相似文献
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H. Oliver Gao Lynn Schooley Johnson 《Transportation Research Part A: Policy and Practice》2009,43(8):744-754
Vehicle soak time, the duration of time a vehicle’s engine is at rest prior to being started, and its distribution function are important transportation activity data inputs for mobile emissions inventory estimation due to their impacts on vehicle start and evaporative emissions. This paper provides vehicle emission researchers with an overview of statistical analysis methods relevant to analyzing vehicle soak time data. Many of these methods are already in use in emissions research and have appeared in the literature. These methods are reviewed and further details regarding the implementation and interpretation of these methods are provided. Statistical methods relevant to the analysis of soak time data that have yet to appear in the emissions literature, including kernel density estimation and generalized linear models, are also introduced. Advantages and disadvantages of the methods are compared and theoretical justification is provided. Issues of correlated observations and censored data are discussed. General guidelines for the analysis of soak time data, such as stratification by start type and geographical region, are established. Finally, a subset of the statistical methods discussed is used to analyze the US Environmental Protection Agency’s 3-city data. 相似文献