Determining the Effectiveness of Incorporating Geographic Information Into Vehicle Performance Algorithms

doi:10.2172/1044214

GSTDTAP > 地球科学

DOI	10.2172/1044214
报告编号	INL/EXT-12-25144
来源ID	OSTI ID: 1044214
	Determining the Effectiveness of Incorporating Geographic Information Into Vehicle Performance Algorithms
	Sera White
	2012-04-01
出版年	2012
语种	英语
国家	美国
领域	地球科学
英文摘要	This thesis presents a research study using one year of driving data obtained from plug-in hybrid electric vehicles (PHEV) located in Sacramento and San Francisco, California to determine the effectiveness of incorporating geographic information into vehicle performance algorithms. Sacramento and San Francisco were chosen because of the availability of high resolution (1/9 arc second) digital elevation data. First, I present a method for obtaining instantaneous road slope, given a latitude and longitude, and introduce its use into common driving intensity algorithms. I show that for trips characterized by >40m of net elevation change (from key on to key off), the use of instantaneous road slope significantly changes the results of driving intensity calculations. For trips exhibiting elevation loss, algorithms ignoring road slope overestimated driving intensity by as much as 211 Wh/mile, while for trips exhibiting elevation gain these algorithms underestimated driving intensity by as much as 333 Wh/mile. Second, I describe and test an algorithm that incorporates vehicle route type into computations of city and highway fuel economy. Route type was determined by intersecting trip GPS points with ESRI StreetMap road types and assigning each trip as either city or highway route type according to whichever road type comprised the largest distance traveled. The fuel economy results produced by the geographic classification were compared to the fuel economy results produced by algorithms that assign route type based on average speed or driving style. Most results were within 1 mile per gallon ({approx}3%) of one another; the largest difference was 1.4 miles per gallon for charge depleting highway trips. The methods for acquiring and using geographic data introduced in this thesis will enable other vehicle technology researchers to incorporate geographic data into their research problems.
英文关键词	Geographic Information Systems GIS Hymotion Prius PHEV Plug-In Hybrid Electric Vehicle
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来源平台	US Department of Energy (DOE)
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/5640
专题	地球科学
推荐引用方式 GB/T 7714	Sera White. Determining the Effectiveness of Incorporating Geographic Information Into Vehicle Performance Algorithms,2012.