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

Sangjun Park, Hesham A Rakha, M. Farzaneh, J. Zietsman, Doh-Won Lee
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引用次数: 19

Abstract

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.
开发高速重型卡车、轻型卡车和轻型车辆的燃料和排放模型
目前使用的排放建模工具,即:MOBILE、EMFAC、综合模态排放模型(CMEM)和vert - micro模型,无法提供超过80英里/小时的高速行驶时的可靠排放估计,因为这些模型没有这些高速行驶时的支持数据。因此,本文中介绍的研究收集了现场数据,并开发了用于估计高速行驶时燃料消耗、二氧化碳(CO2)、一氧化碳(CO)、一氧化氮(NO)、二氧化氮(NO2)、氮氧化物(NOX)、碳氢化合物(HC)和颗粒物(PM)排放的模型。包括三辆半挂车、三辆皮卡和三辆乘用车在内的九辆车在德克萨斯州佩科斯的一条9英里的测试轨道上进行了测试。使用两个便携式排放测量系统测量燃料消耗和排放率。利用这些数据开发模型,使燃料消耗、CO2、NO2、HC和PM排放的误差最小。另外,NO和NOX排放模型产生的误差最大,相关性最小。研究表明,新建立的模型克服了现有模型的不足,可用于高速车辆环境影响评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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