Optimal Energy Control of a Dual Fuel Vehicle Fuelled by Natural Gas and E10 [electronic resource]

Control And Diagnosis Of Automotive Systems; Energy Systems; Engine Modelling And Control; Industrial Applications Of Optimal Control; Modeling; Nonlinear And Optimal Automotive Control; Supervision.

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Bibliographic Details
Online Access: Online Access (via OSTI)
Corporate Author: Argonne National Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Energy Efficiency and Renewable Energy ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2017.

MARC

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245 0 0 |a Optimal Energy Control of a Dual Fuel Vehicle Fuelled by Natural Gas and E10  |h [electronic resource] 
260 |a Washington, D.C. :  |b United States. Department of Energy. Office of Energy Efficiency and Renewable Energy ;  |a Oak Ridge, Tenn. :  |b distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,  |c 2017. 
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500 |a Published through SciTech Connect. 
500 |a 07/01/2017. 
500 |a "134966" 
500 |a 20th World Congress of the International Federation of Automatic Control, 07/09/17 - 07/14/17, Toulouse, FR. 
500 |a Hall, Carrie; Pamminger, Michael; Sevik, James; Wallner, Thomas. 
520 3 |a Due to the increasing availability of natural gas, there is growing interest in using this fuel for transportation. Utilizing natural gas along with gasoline can provide a way to leverage the high knock resistance of natural gas while avoiding some of the ignitability challenges of this fuel. This paper leverages experimental data for a single cylinder engine to model power production on a mid-size sedan. Using this model, an optimal energy management strategy is explored. Several weighting strategies are considered including techniques which consider fuel availability, fuel cost, and carbon emissions. The effectiveness of these methods are considered over the UDDS, HWY, and US06 cycles. While there is little benefit to such a fuel blending algorithm at low loads, at high loads (such as those encountered in the US06 cycle) blending can provide up to a 7% improvement in efficiency. 
520 0 |a Control And Diagnosis Of Automotive Systems; Energy Systems; Engine Modelling And Control; Industrial Applications Of Optimal Control; Modeling; Nonlinear And Optimal Automotive Control; Supervision. 
536 |b AC02-06CH11357. 
710 2 |a Argonne National Laboratory.  |4 res. 
710 1 |a United States.  |b Department of Energy.  |b Office of Energy Efficiency and Renewable Energy.  |4 spn. 
710 1 |a United States.  |b Department of Energy.  |b Office of Scientific and Technical Information.  |4 dst. 
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