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Simple Comprehensive hensive Fuel Consumption and CO2 Emission Model based on Instantaneous Vehicle Power

机译:基于瞬时车辆功率的简单综合性综合油耗和二氧化碳排放模型

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The majority of fuel consumption models use vehicle tractive power and/or velocity asexplanatory variables. These models appear to be simple and easy to implement, however theysuffer from two major drawbacks, namely: (a) the use of vehicle specific power results in a bangbang control (i.e. the optimum fuel consumption results from a full throttle acceleration) if higherorders of power are not considered in the model; and (b) the calibration of the model parameterscannot be done using publicly available data and thus requires field data collection for eachvehicle. Consequently, the research presented in this paper develops two simple fuelconsumption models that do not result in a bang-bang control system and that can be calibratedeasily using publicly available data. Specifically, the models can be calibrated using theEnvironmental Protection Agency city and highway fuel economy ratings that are publiclyavailable. The models are demonstrated to estimate vehicle fuel consumption rates consistentwith in-field measurements (coefficient of determination above 0.90). Finally, a procedure forestimating CO_2 emissions is developed producing emission estimates that are highly correlatedwith field measurements (greater than 0.98). The development of this model attempts to bridgethe existing gap between traditional power-based fuel consumption models and vehicleoperational control systems such as fuel-optimized cruise control systems, real-time eco-drivingsystems, and adaptive cruise control systems on passenger cars using road topographyinformation.
机译:大多数油耗模型使用车辆牵引力和/或速度作为 解释变量。这些模型看起来很简单且易于实现,但是它们 遭受两个主要缺点,即:(a)使用车辆特定功率会导致爆炸 爆震控制(即最佳油耗来自全油门加速) 在模型中不考虑幂次; (b)校准模型参数 无法使用公开数据完成,因此需要为每个数据收集现场数据 车辆。因此,本文提出的研究开发了两种简单的燃料 不会导致爆炸式控制系统且可以校准的消耗模型 轻松使用公开数据。具体来说,可以使用 环境保护署公开发布的城市和公路燃油经济性评级 可用的。证明了这些模型可以估算出一致的车辆油耗 现场测量(确定系数高于0.90)。最后,一个程序 建立了估算CO_2排放量的方法,从而产生高度相关的排放量估算值 实地测量(大于0.98)。该模型的开发试图弥合 传统基于动力的油耗模型与车辆之间的现有差距 操作控制系统,例如燃油优化的巡航控制系统,实时生态驾驶 道路地形的乘用车系统和自适应巡航控制系统 信息。

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