比较和参数化 SUMO 中的电能消耗模型

M. Behrisch, Y. Flötteröd, Peter Wagner
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摘要

本文研究了 SUMO 中现有四种电池模型的性能。同时还研究了扩展模型参数化的可能性,并对 PHEMlight 进行了相应的扩展。因此,可以更公平地对模型进行比较。使用了三种场景,即全球统一的轻型汽车测试周期、恒定的高速高速公路场景和交通状况相对复杂的区域场景。结果表明,所有模型都能解决再生和推进问题,并在极低加速度时提供相似的结果。基于平均车辆数据的模型通常会比针对具体车辆类型进行参数设置的模型(尤其是 PHEMlight5)提供更高的电池消耗量,而 HBEFA4 模型只有一个电动汽车类别,因此对各种车辆特性并不敏感。此外,Kurczveil 和 López 的模型(EVM)似乎是所有模型中耗电量最低的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing and Parameterizing the Electrical Energy Consumption Models in SUMO
This paper examined the performances of the current four battery models in SUMO. The possibility of expanding the model parameterization was also investigated and the corresponding extension was carried out for PHEMlight. Accordingly, the models can be compared more fairly. Three scenarios were used, namely the Worldwide harmonized Light vehicles Test Cycle, a constant high-speed highway scenario and an area scenario with a relatively complex traffic situation. The results show that all models can address recuperation and propulsion, and deliver the similar result at very low acceleration. The models based on average vehicle data generally tend to deliver higher battery consumption than the models with individual vehicle type-specific parameterization, especially PHEMlight5, while HBEFA4 only has one electric vehicle class and is therefore not sensitive to various vehicle characteristics. Moreover, the model by Kurczveil and López (EVM) seems to tend to have the lowest consumption of all models.
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