行驶循环
航程(航空)
再生制动器
环境科学
汽车工程
能源消耗
电池(电)
灵敏度(控制系统)
练习场
地铁列车时刻表
燃料效率
能量(信号处理)
计算机科学
电动汽车
功率(物理)
工程类
电气工程
航空航天工程
数学
统计
制动器
热力学
物理
电子工程
操作系统
作者
Paolo Iora,Laura Tribioli
摘要
In this paper, a general quasi-steady backward-looking model for energy consumption estimation of electric vehicles is presented. The model is based on a literature review of existing approaches and was set up using publicly available data for Nissan Leaf. The model has been used to assess the effect of ambient temperature on energy consumption and range, considering various reference driving cycles. The results are supported and validated using data available from an experimental campaign where the Nissan Leaf was driven to depletion across a broad range of winter ambient temperatures. The effect of ambient temperature and the consequent accessories consumption due to cabin heating are shown to be remarkable. For instance, in case of Federal Urban Driving Schedule (FUDS), simplified FUDS (SFUDS), and New European Driving Cycle (NEDC) driving cycles, the range exceeds 150 km at 20 °C, while it reduces to about 85 km and 60 km at 0 °C and −15 °C, respectively. Finally, a sensitivity analysis is reported to assess the impact of the hypotheses in the battery model and of making different assumptions on the regenerative braking efficiency.
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