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Seasonality Effect on Electric Vehicle Miles Traveled in Electrified Vehicles

机译:在电气化车辆中电动汽车里程的季节性影响

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The efficiency of an electrified powertrain is sensitive to fluctuations in temperature. This impacts the Electric Vehicle Miles Traveled (eVMT), or the miles travelled by Plug-In Hybrid Electric Vehicles (PHEVs) using electrical grid power. In this paper, we discuss various methods used to calculate eVMT for PHEVs and propose an alternate method to calculate eVMT with higher accuracy using real world customer data. Real world customer data is obtained through telematics modems on Ford Energi products powered by the “MyFord Mobile” web and phone applications. Customer and season specific data from pure charge depleting and pure charge sustaining trips are used in this method to generate a customer and season specific conversion factor. As a result, this real world data based method helps track the effect of seasonality on eVMT obtained by customers in a combination of all charge depleting and charge sustaining trips.
机译:电气化动力系的效率对温度的波动敏感。这会影响使用电网电网的电网(EVMT)的电动车辆数英里(EVMT),或通过插入式混合动力电动车辆(PHEV)行进的里程。在本文中,我们讨论了用于计算PHEV的EVMT的各种方法,并提出了一种使用现实世界客户数据以更高的精度计算EVMT的替代方法。通过由“MyFord Mobile”Web和Phill应用程序提供技术支持的福特Energi产品的远程信息系统调制解调器获得现实世界客户数据。本方法使用来自纯电荷消耗和纯电荷维持旅行的客户和季节特定数据,以产生客户和季节特定的转换因子。因此,这种现实世界基于数据的方法有助于跟踪季节性对客户在所有电荷消耗和充电持续旅行中获得的EVMT对EVMT的影响。

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