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Main characteristic parameters to describe driving patterns and construct driving cycles
Transportation Research Part D: Transport and Environment ( IF 7.3 ) Pub Date : 2021-07-05 , DOI: 10.1016/j.trd.2021.102959
Luis F. Quirama , Michael Giraldo , José I. Huertas , Juan E. Tibaquirá , Daniel Cordero-Moreno

At present, it is unknown which set of characteristic parameters (CPi) should be used as assessment criteria in the micro-trips method to construct driving cycles that truly represent local driving patterns and reproduce the real energy consumption and tailpipe emissions of electric and engine-powered vehicles when they are tested on a chassis dynamometer. Using 1-Hz simultaneous measurements of energy consumption, speed, and emissions from the regular operation of a vehicle's fleet, we constructed driving cycles using 1140 different combinations of CPi as assessment parameters. We reproduced the process a thousand times for each combination and observed the tendency and the dispersion of the degree of representativeness of the resulting driving cycles. We concluded that mean speed, percentage of idling time, and the standard deviation of acceleration are the CPi that must be included in the micro-trips method.



中文翻译:

描述驾驶模式和构建驾驶循环的主要特征参数

目前,尚不清楚微行程方法中应使用哪组特征参数(CP i )作为评估标准,以构建真正代表当地驾驶模式并再现电力和发动机真实能耗和尾气排放的驾驶循环。 - 动力车辆在底盘测功机上进行测试时。使用 1-Hz 同时测量来自车队正常运行的能耗、速度和排放,我们使用 1140 种不同的 CP i组合构建了驾驶循环作为评估参数。我们对每个组合重复了该过程一千次,并观察了由此产生的驾驶循环的代表性程度的趋势和离散程度。我们得出结论,平均速度、怠速时间百分比和加速度的标准偏差是必须包含在微行程方法中的 CP i

更新日期:2021-07-05
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