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Real drive cycles analysis by ordered power methodology applied to fuel consumption, CO 2 , NO x and PM emissions estimation
Frontiers of Environmental Science & Engineering ( IF 6.1 ) Pub Date : 2020-07-12 , DOI: 10.1007/s11783-020-1296-z
Pol Masclans Abelló , Vicente Medina Iglesias , M. Antonia de los Santos López , Jesús Álvarez-Flórez

In this work three fuel consumption and exhaust emission models, ADVISOR, VT-MICRO and the European Environmental Agency Emission factors, have been used to obtain fuel consumption (FC) and exhaust emissions. These models have been used at micro-scale, using the two signal treatment methods presented. The manuscript presents: 1) a methodology to collect data in real urban driving cycles, 2) an estimation of FC and tailpipe emissions using some available models in literature, and 3) a novel analysis of the results based on delivered wheel power. The results include Fuel Consumption (FC), CO2, NOx and PM10 emissions, which are derived from the three simulators. In the first part of the paper we present a new procedure for incomplete drive cycle data treatment, which is necessary for real drive cycle acquisition in high density cities. Then the models are used to obtain second by second FC and exhaust emissions. Finally, a new methodology named Cycle Analysis by Ordered Power (CAbOP) is presented and used to compare the results. This method consists in the re-ordering of time dependant data, considering the wheel mechanical power domain instead of the standard time domain. This new strategy allows the 5 situations in drive cycles to be clearly visualized: hard breaking zone, slowdowns, idle or stop zone, sustained speed zone and acceleration zone. The complete methodology is applied in two real drive cycles surveyed in Barcelona (Spain) and the results are compared with a standardized WLTC urban cycle.



中文翻译:

通过有序动力方法进行的实际驾驶周期分析可应用于燃料消耗,CO 2,NO x和PM排放估算

在这项工作中,使用了三种燃料消耗和废气排放模型,即ADVISOR,VT-MICRO和欧洲环境署排放因子,以获取燃料消耗(FC)和废气排放。这些模型已使用所介绍的两种信号处理方法在微观规模上使用。该手稿提出:1)一种在实际城市驾驶周期中收集数据的方法,2)使用文献中的一些可用模型估算FC和尾气排放,以及3)基于传递的车轮功率对结果进行新颖的分析。结果包括燃料消耗量(FC),CO 2,NO x和PM 10排放,这是从三个模拟器得出的。在本文的第一部分中,我们提出了一种用于不完整驾驶周期数据处理的新程序,这对于在高密度城市中实际驾驶周期的采集是必需的。然后,使用这些模型来获得第二FC和废气排放。最后,提出了一种称为有序功率循环分析(CAbOP)的新方法,并将其用于比较结果。该方法包括对时间相关数据进行重新排序,其中考虑了车轮机械功率域而不是标准时域。这种新的策略可以清晰地显示出驾驶循环中的5种情况:硬断裂区,减速区,怠速或停止区,持续速度区和加速区。

更新日期:2020-07-16
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