Abstract

The relationship between ambient conditions and light-duty vehicle energy consumption has been widely researched. Relatively little effort, however, has been dedicated to understanding representative ambient conditions a light-duty vehicle may experience. The framework introduced in this article provides a means of quantifying ambient conditions specific to light-duty vehicle operation by incorporating both when and where vehicles are driven. The analysis presented expands the literature beyond solely focusing on temperature; distributions for humidity, solar irradiance, and air density are also included. A procedure is presented that calculates the ambient condition distributions for each metric by relating open-source data sets describing representative vehicle utilization and representative ambient conditions. While this study explores ambient conditions related to light-duty vehicle utilization, the framework may also be applied to separate vocations. Finally, the article concludes with an example use case of the ambient condition weighting process. A binning methodology is introduced that facilitates insight into vehicle energy consumption in response to ambient conditions at the national and local levels while minimizing the number of tests or simulations required.

摘要

环境条件与轻型汽车能耗之间的关系已被广泛研究。然而，相对较少的努力致力于了解轻型车辆可能遇到的代表性环境条件。本文中介绍的框架通过结合车辆的行驶时间和地点，提供了一种量化轻型车辆运行特定环境条件的方法。所提出的分析将文献扩展到仅关注温度之外。还包括湿度、太阳辐照度和空气密度的分布。提出了一种程序，该程序通过关联描述代表性车辆利用率和代表性环境条件的开源​​数据集来计算每个指标的环境条件分布。虽然本研究探讨了与轻型车辆使用相关的环境条件，但该框架也可以应用于不同的职业。最后，本文以环境条件加权过程的示例用例作为结尾。引入了一种分级方法，有助于深入了解车辆能源消耗以响应国家和地方层面的环境条件，同时最大限度地减少所需的测试或模拟次数。