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Development of fuel and emission models for high speed heavy duty trucks, light duty trucks, and light duty vehicles

机译:为高速重型卡车,轻型卡车和轻型车辆开发燃料和排放模型

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The current state-of-practice emission modeling tools, namely: MOBILE, EMFAC, the Comprehensive Modal Emission Model (CMEM), and VT-Micro model do not provide reliable emission estimates for high speeds greater than 80 mph since the models do not have supporting data at these high speeds. Consequently, the research presented in this paper gathers field data and develops models for the estimation of fuel consumption, carbon dioxide (CO2), carbon monoxide (CO), nitric oxide (NO), nitrogen dioxide (NO2), nitrogen oxides (NOX), hydrocarbon (HC), and particulate matter (PM) emissions at high speeds. A total of nine vehicles including three semi-trucks, three pick-up trucks, and three passenger cars are tested on a nine-mile test track in Pecos, Texas. The fuel consumption and emission rates are measured using two portable emission measurement systems. Models are developed using these data, producing minimum errors for fuel consumption, CO2, NO2, HC, and PM emissions. Alternatively, the NO and NOX emission models produce the highest errors with the least degree of correlation. The study demonstrates that the newly constructed models overcome the shortcomings of the state-of-practice models and can be utilized to evaluate the environmental impacts of high speed vehicles.
机译:当前的实践排放建模工具,即:MOBILE,EMFAC,综合模态排放模型(CMEM)和VT-Micro模型,不能为超过80 mph的高速提供可靠的排放估算,因为这些模型没有以如此高的速度支持数据。因此,本文提出的研究收集了现场数据,并开发了用于估计燃料消耗,二氧化碳(CO 2 ),一氧化碳(CO),一氧化氮(NO),二氧化氮( NO 2 ),氮氧化物(NO X ),碳氢化合物(HC)和颗粒物(PM)的高速排放。在德克萨斯州Pecos的9英里测试跑道上测试了总共9辆车,其中包括3辆半卡车,3辆轻型卡车和3辆乘用车。使用两个便携式排放物测量系统测量燃油消耗和排放率。使用这些数据开发模型,可产生最小的燃油消耗,CO 2 ,NO 2 ,HC和PM排放误差。或者,NO和NO X 排放模型产生的误差最高,相关程度最低。研究表明,新构建的模型克服了实践状态模型的缺点,可用于评估高速车辆的环境影响。

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