國立虎尾科技大學 |

Speciated Transient Gasoline Engine Emissions under Fuel Optimized Speed-Load Trajectories.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Speciated Transient Gasoline Engine Emissions under Fuel Optimized Speed-Load Trajectories./
作者:	Lehmier, Dylan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	103 p.
附註:	Source: Masters Abstracts International, Volume: 80-10.
Contained By:	Masters Abstracts International80-10.
標題:	Environmental Studies. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13858293
ISBN:	9781392059289

Speciated Transient Gasoline Engine Emissions under Fuel Optimized Speed-Load Trajectories.
Lehmier, Dylan.

Speciated Transient Gasoline Engine Emissions under Fuel Optimized Speed-Load Trajectories. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 103 p.

Source: Masters Abstracts International, Volume: 80-10.

Thesis (M.S.)--Marquette University, 2019.

This item must not be sold to any third party vendors.

Internal combustion engines in the transportation sector use almost 400 million gallons of gasoline every day in the United States. Burning this fuel releases harmful gases into the atmosphere that are causing adverse effects to the environment. The United States, along with innumerable other countries, have issued regulations on the fuel economy and emissions of motor vehicles. The internal combustion engine using gasoline as fuel is predicted to be the dominant driving force behind automobiles for the foreseeable future. Various methods have been implemented in order to reduce fuel consumption and engine emissions, but with the regulations becoming stricter every year, automakers must continue to innovate with technologies that involve control software to reduce fuel use and the emissions the engines release. The goal of this thesis was to develop a fuel optimization scheme for a four-cylinder gasoline engine and characterize the emissions of the engine before and after optimization. The optimization was completed to compare the effect of the optimization on fuel consumption and emission behavior in high, medium, and low transient conditions. A secondary study was completed to determine whether it was possible to estimate the speciated emissions released by the engine during experiments of transient operating conditions using two methods: steady-state maps and an artificial neural network. Performance of the optimization on the engine resulted in an average fuel consumption reduction of 2.03%. The results of the emissions characterization were consistent at lower levels of transient behavior but differed at high transients. In general, carbon monoxide emissions decreased by about 10% after the optimization in all tests and results of the combustion intermediate species examined varied from test to test. All gasoline component emissions decreased in the low and medium transients experiments after optimization by 4–19%, but the gasoline component emissions before and after optimization for the high transients tests remained nearly unchanged. Estimating engine emissions based on steady-state maps is possible when the level of transients is low. Estimation using an artificial neural network showed some reliability, but more network training should be completed to increase accuracy.

ISBN: 9781392059289Subjects--Topical Terms:

934530
Environmental Studies.

Speciated Transient Gasoline Engine Emissions under Fuel Optimized Speed-Load Trajectories.
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520 $a Internal combustion engines in the transportation sector use almost 400 million gallons of gasoline every day in the United States. Burning this fuel releases harmful gases into the atmosphere that are causing adverse effects to the environment. The United States, along with innumerable other countries, have issued regulations on the fuel economy and emissions of motor vehicles. The internal combustion engine using gasoline as fuel is predicted to be the dominant driving force behind automobiles for the foreseeable future. Various methods have been implemented in order to reduce fuel consumption and engine emissions, but with the regulations becoming stricter every year, automakers must continue to innovate with technologies that involve control software to reduce fuel use and the emissions the engines release. The goal of this thesis was to develop a fuel optimization scheme for a four-cylinder gasoline engine and characterize the emissions of the engine before and after optimization. The optimization was completed to compare the effect of the optimization on fuel consumption and emission behavior in high, medium, and low transient conditions. A secondary study was completed to determine whether it was possible to estimate the speciated emissions released by the engine during experiments of transient operating conditions using two methods: steady-state maps and an artificial neural network. Performance of the optimization on the engine resulted in an average fuel consumption reduction of 2.03%. The results of the emissions characterization were consistent at lower levels of transient behavior but differed at high transients. In general, carbon monoxide emissions decreased by about 10% after the optimization in all tests and results of the combustion intermediate species examined varied from test to test. All gasoline component emissions decreased in the low and medium transients experiments after optimization by 4–19%, but the gasoline component emissions before and after optimization for the high transients tests remained nearly unchanged. Estimating engine emissions based on steady-state maps is possible when the level of transients is low. Estimation using an artificial neural network showed some reliability, but more network training should be completed to increase accuracy.
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