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Modeling the effects of congestion on fuel economy for advanced power train vehicles

机译：模拟交通拥堵对高级动力火车车辆燃油经济性的影响

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摘要

Fuel-speed curves (FSC) are used to account for the aggregate effects of congestion on fuel consumption in transportation scenario analysis. This paper presents plausible FSC for conventional internal combustion engine (ICE) vehicles and for advanced vehicles such as hybrid electric vehicles, fully electric vehicles (EVs), and fuel cell vehicles (FCVs) using a fuel consumption model with transient driving schedules and a set of 145 hypothetical vehicles. The FSC shapes show that advanced power train vehicles are expected to maintain fuel economy (FE) in congestion better than ICE vehicles, and FE can even improve for EV and FCV in freeway congestion. In order to implement these FSC for long-range scenario modeling, a bounded approach is presented which uses a single congestion sensitivity parameter. The results in this paper will assist analysis of the roles that vehicle technology and congestion mitigation can play in reducing fuel consumption and greenhouse gas emissions from motor vehicles.
机译：燃料速度曲线（FSC）用于在交通情景分析中考虑交通拥堵对燃料消耗的总体影响。本文介绍了使用带有临时驾驶计划和一组燃料消耗模型的常规内燃机（ICE）车辆和混合动力电动汽车，全电动汽车（EV）和燃料电池汽车（FCV）等先进汽车的合理FSC 145辆假想车。 FSC的形状表明，与内燃机车相比，先进的动力传动系统车辆在拥堵中的燃油经济性（FE）更好，而在高速公路拥堵中，EV和FCV甚至可以改善FE。为了将这些FSC用于远程场景建模，提出了一种使用单个拥塞敏感度参数的有界方法。本文的结果将有助于分析汽车技术和缓解拥堵在减少汽车的燃料消耗和温室气体排放中所起的作用。

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