Effects of fuel cost and driving behaviors on operational costs of gasoline and electric vehicles in the US

Isaac Schmidt, E. Grubert
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引用次数: 1

Abstract

Internal combustion engine vehicles have long dominated personal vehicle sales in the United States. As electric vehicles gain market share, understanding fuel costs of gasoline versus electric vehicles (EVs) is increasingly relevant for potential buyers and for researchers. In particular, understanding the influence of fuel price volatility on fuel costs is of interest. Although it is well known that fueling an EV is cheaper than fueling a gasoline vehicle, costs are less commonly expressed in explicit spatially and temporally resolved terms. This note presents an Excel model that includes state-specific gasoline and residential electricity price data for US states between 2015–2020, including both average overall electricity prices and lowest-cost time-of-use electricity rates (measured over a consecutive 8-hour potential residential charging period) for each state. This model, which we call the Fuel Cost Calculator, also allows users to evaluate the impact of several major external and driver behavior factors on fuel costs for gasoline versus electric vehicles. These combinations of these factors result in unique scenarios which make price differences for the fuel costs more variable. With the Fuel Cost Calculator, the user can create specific scenarios reflecting potential real-world conditions to create cost estimates for gasoline and residential EV fueling over user-determined time periods and distances. Fuel costs for gasoline vehicles are generally higher than for electric vehicles in the US, consistent with prior studies. We also explicitly show that fuel cost budgets are much more volatile for gasoline versus electric vehicles charged at a residence, given the much less stable price of oil versus electricity. This volatility is sufficiently large so as to be relevant for vehicle owner budgets. The FCC also shows carbon dioxide (CO2) emissions associated with vehicle use, resolved at the state level.
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燃料成本和驾驶行为对美国汽油和电动汽车运营成本的影响
长期以来,内燃机汽车一直主导着美国的个人汽车销售。随着电动汽车市场份额的增加,了解汽油和电动汽车(ev)的燃料成本对潜在买家和研究人员来说越来越重要。特别是,了解燃料价格波动对燃料成本的影响是令人感兴趣的。虽然众所周知,给电动汽车加油比给汽油车加油便宜,但成本通常不太能用明确的空间和时间解决的术语来表示。本文提供了一个Excel模型,其中包括2015-2020年美国各州特定的汽油和住宅电价数据,包括每个州的平均总电价和最低成本分时电价(在连续8小时的潜在住宅充电期内测量)。这个模型,我们称之为燃料成本计算器,还允许用户评估几个主要的外部因素和驾驶员行为因素对汽油和电动汽车燃料成本的影响。这些因素的组合导致了独特的情况,这使得燃料成本的价格差异更加可变。使用燃料成本计算器,用户可以创建反映潜在现实条件的特定场景,从而在用户确定的时间段和距离内创建汽油和住宅电动汽车加油的成本估算。在美国,汽油车的燃料成本普遍高于电动汽车,这与之前的研究结果一致。我们还明确表明,考虑到石油价格相对于电力价格的不稳定,在住宅充电的汽油车比电动汽车的燃料成本预算更不稳定。这种波动性足够大,因此与车主预算相关。FCC还显示了与车辆使用相关的二氧化碳(CO2)排放,这在州一级得到了解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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