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Impacts of Driving Patterns on Well-to-wheel Performance of Plug-in Hybrid Electric Vehicles
Raykin;Leonid
出版年2012
英文摘要The well-to-wheel (WTW) environmental performance of plug-in hybrid electric vehicles (PHEVs) is sensitive to driving patterns, which vary within and across regions. This thesis develops and applies a novel approach for estimating specific regional driving patterns. The approach employs a macroscopic traffic assignment model linked with a vehicle motion model to construct driving cycles, which is done for a wide range of driving patterns. For each driving cycle, the tank-to-wheel energy use of two PHEVs and comparable non-plug-in alternatives is estimated. These estimates are then employed within a WTW analysis to investigate implications of driving patterns on the energy use and greenhouse gas emission of PHEVs, and the WTW performance of PHEVs relative to non-plug-in alternatives for various electricity generation scenarios. The results of the WTW analysis demonstrate that driving patterns and the electricity generation supply interact to substantially impact the WTW performance of PHEVs.
英文关键词Light duty vehicles Plug-in hybrid electric vehicles Life cycle assessment Well-to-wheel Energy Petroleum Greenhouse gas emissions Electricity generation Driving patterns Driving conditions Driving cycles Travel demand modeling Transportation Tomorrow Survey Ontario Greater Toronto Area Emme CALMOB6 Autonomie GREET 0775
语种英语
URLhttp://hdl.handle.net/1807/42882
资源类型学位论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/246773
推荐引用方式
GB/T 7714		 Raykin;Leonid. Impacts of Driving Patterns on Well-to-wheel Performance of Plug-in Hybrid Electric Vehicles[D],2012.
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