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Comparison of Electric Vehicle's Energy Consumption Factors for Different Road Types

机译:不同道路类型的电动汽车能耗因子比较

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Energy-optimal route planning for electric vehicle (EV) is highly required for the wide-spread use of EV, which is hindered by limited battery capacity and relative short cruising range. Obtaining the cost for each link (i.e., link energy consumption) in road networks plays a key role in energy-optimal route planning process. The link energy consumption depends mainly on energy consumption factor, which is related to not only vehicle speed but also road type. This study aims to analyze the difference of EV's energy consumption factors for different road types. According to the floating car data (FCD) collected from the road network in Beijing, the vehicle specific power (VSP) distributions under different average travel speeds for different road types are analyzed firstly, and then the EV's energy consumption rates under different VSP-Bins are calculated. By using VSP as an intermediate variable, EV's energy consumption factor models for different road types are established and the difference of EV's energy consumption factors is analyzed.The results show that road type-based energy consumption factor should be used in EV's energy-optimal route planning process.
机译:电动汽车(EV)的广泛应用对电动汽车(EV)的能量最优路线规划提出了很高的要求,这受到电池容量有限和相对较短的续航里程的限制。在道路网络中获取每个链路的成本(即链路能耗)在能源最佳路线规划过程中起着关键作用。链路能耗主要取决于能耗因数,不仅与车速有关,而且与道路类型有关。本研究旨在分析不同道路类型的电动汽车能耗因子的差异。根据北京路网收集的浮动车数据,首先分析了不同道路类型在不同平均行驶速度下的车辆比功率(VSP)分布,然后分析了不同VSP-Bin下电动汽车的能耗率。计算。以VSP为中间变量,建立了不同道路类型的EV能耗因子模型,分析了EV能耗因子的差异,结果表明基于道路类型的能耗因子应在EV的能源最优路线中使用规划过程。

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