作者
Jackeline Rios-Torres, Jun Liu, Asad Khattak
发表日期
2019/2/7
期刊
International Journal of Sustainable Transportation
卷号
13
期号
2
页码范围
123-137
出版商
Taylor & Francis
简介
Improving fuel economy and lowering emissions are key societal goals. Standard driving cycles, pre-designed by the US Environmental Protection Agency (EPA), have long been used to estimate vehicle fuel economy in laboratory-controlled conditions. They have also been used to test and tune different energy management strategies for hybrid electric vehicles (HEVs). This paper aims to estimate fuel consumption for a conventional vehicle and a HEV using personalized driving cycles extracted from real-world data to study the effects of different driving styles and vehicle types on fuel consumption when compared to the estimates based on standard driving cycles. To do this, we extracted driving cycles for conventional vehicles and HEVs from a large-scale U.S. survey that contains real-world GPS-based driving records. Next, the driving cycles were assigned to one of three categories: volatile, normal, or calm …
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J Rios-Torres, J Liu, A Khattak - International Journal of Sustainable Transportation, 2019