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A Fuel Cost Comparison of Electric and Gas-Powered Vehicles

机译:电动和汽油动力车辆的燃料成本比较

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In this study, we estimate variable fuel costs and total energy consumption for grid-powered electric cars using eight-year forecasts of cost per kilowatt hour for US national data coupled with real data distributions derived by daily electronic tracking the performance of a single Nissan Leaf located in Texas. These fuel costs are estimated based on a stochastic driving distance, then costs are estimated for various fuel efficiencies, with predicted gasoline cost structure based on a simple, deterministic forecasting model. We also use time series analysis of the average cost per gallon of gasoline and the same driving distribution to estimate the cost for several gas-powered cars. We incorporate two Design of Experiment factors that might be adjusted during the vehicle manufacturing process, estimated average miles per gallon for gas-powered cars operating under fixed conditions, and estimated average miles per kilowatt hour for electric cars operating under fixed conditions. We develop a Monte Carlo simulation to analyze the cost differential between electric versus gas-powered cars. Using data from the simulation, we compare the fuel cost structure and provide some limited discussion of vehicle acquisition and residual costs.
机译:在这项研究中,我们使用美国国家数据每千瓦时的八年预测以及每日通过电子跟踪单个日产Leaf的性能得出的实际数据分布,来估算电网驱动的电动汽车的可变燃料成本和总能耗位于德克萨斯州。这些燃料成本是根据随机行驶距离估算的,然后针对各种燃料效率估算成本,并基于简单的确定性预测模型预测汽油成本的结构。我们还使用时间序列分析来分析每加仑汽油的平均成本和相同的驾驶分配,以估算几辆汽油动力汽车的成本。我们并入了两个在车辆制造过程中可能会调整的实验设计因素,分别是在固定条件下运行的汽油动力汽车的平均每加仑行驶里程和在固定条件下运行的电动汽车的平均每千瓦小时里程。我们开发了蒙特卡洛模拟,以分析电动汽车与汽油动力汽车之间的成本差异。使用来自仿真的数据,我们比较了燃料成本结构,并对车辆购置和剩余成本进行了有限的讨论。

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