| DOI: | 10.2172/1044214
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| 报告号: | INL/EXT-12-25144
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| 报告题名: | Determining the Effectiveness of Incorporating Geographic Information Into Vehicle Performance Algorithms |
| 作者: | Sera White
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| 出版年: | 2012
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| 发表日期: | 2012-04-01
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| 国家: | 美国
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| 语种: | 英语
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| 英文关键词: | Geographic Information Systems
; GIS
; Hymotion Prius
; PHEV
; Plug-In Hybrid Electric Vehicle
|
| 中文主题词: | PH
|
| 主题词: | PH
|
| 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. |
| URL: | http://www.osti.gov/scitech/servlets/purl/1044214
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| Citation statistics: |
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| 资源类型: | 研究报告
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/40838
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| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
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| 1044214.pdf（67824KB） | 研究报告 | -- | 开放获取 | | View
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| Recommended Citation: | |
Sera White. Determining the Effectiveness of Incorporating Geographic Information Into Vehicle Performance Algorithms. 2012-01-01.
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