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RISS 인기검색어
- 검색키워드
- 저자 : A. ROUSSEAU (검색결과 5 건)
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A. ROUSSEAU,S. SAGLINI,M. JAKLOV,D. GRAY,K. HARDY 한국자동차공학회 2003 International journal of automotive technology Vol.4 No.1
The Center for Transportation Research at the Argonne National Laboratory (ANL) supports the DOE by evaluating advanced automotive technologies in a systems conlext. ANL has developed a unique set of compatible simulation tools and test equipment to perform an integrated systems analysis project from modeling through hardware testing and validation. This project utilized these capabilities to demonstrate the trade-off in fuel economy and Oxides of Nitrogen (NOx) emissions in a so-called 'pre-transmission' parallel hybrid powertrain. The powertrain contiguration (in simulation and on the dynamometer) consists of a Compression Ignition Direct Ignition (CIDI) engine. a Continuously Variable Transmission (CVT) and an electric drive motor coupled to the CVT input shaft. The trade-off is studied in a simulated environment using PSAT with different controllers (fuzzy logic and rule based) and engine models (neural network and steady state models developed from ANL data),<br/>
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NOVEL LARGE SCALE SIMULATION PROCESS TO SUPPORT DOT’S CAFE MODELING SYSTEM
A. MOAWAD,P. BALAPRAKASH,A. ROUSSEAU,S. WILD 한국자동차공학회 2016 International journal of automotive technology Vol.17 No.6
This paper demonstrates a new process that has been specifically designed for the support of the U.S. Department of Transportation’s (DOT’s) Corporate Average Fuel Economy (CAFE) standards. In developing the standards, DOT’s National Highway Traffic Safety Administration made use of the CAFE Compliance and Effects Modeling System (the “Volpe model” or the “CAFE model”), which was developed by DOT’s Volpe National Transportation Systems Center for the 2005–2007 CAFE rulemaking and has been continuously updated since. The model is the primary tool used by the agency to evaluate potential CAFE stringency levels by applying technologies incrementally to each manufacturer’s fleet until the requirements under consideration are met. The Volpe model relies on numerous technology-related and economic inputs, such as market forecasts, technology costs, and effectiveness estimates; these inputs are categorized by vehicle classification, technology synergies, phase-in rates, cost learning curve adjustments, and technology “decision trees”. Part of the model’s function is to estimate CAFE improvements that a given manufacturer could achieve by applying additional technology to specific vehicles in its product line. A significant number of inputs to the Volpe decision-tree model are related to the effectiveness (fuel consumption reduction) of each fuel-saving technology. Argonne National Laboratory has developed a fullvehicle simulation tool named Autonomie, which has become one of the industry’s standard tools for analyzing vehicle energy consumption and technology effectiveness. Full-vehicle simulation tools use physics-based mathematical equations, engineering characteristics (e.g., engine maps, transmission shift points, and hybrid vehicle control strategies), and explicit drive cycles to predict the effectiveness of individual and combined fuel-saving technologies. The Large-Scale Simulation Process accelerates and facilitates the assessment of individual technological impacts on vehicle fuel economy. This paper will show how Argonne efficiently simulates hundreds of thousands of vehicles to model anticipated future vehicle technologies.
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Rousseau, A.,Saglini, S.,Jakov, M.,Gray, D.,Hardy, K. The Korean Society of Automotive Engineers 2003 International journal of automotive technology Vol.4 No.1
The Center for Transportation Research at the Argonne National Laboratory (ANL) supports the DOE by evaluating advanced automotive technologies in a systems context. ha has developed a unique set of compatible simulation tools and test equipment to perform an integrated systems analysis project from modeling through hardware testing and validation. This project utilized these capabilities to demonstrate the trade-off in fuel economy and Oxides of Nitrogen (NOx) emissions in a so-called ‘pre-transmission’ parallel hybrid powertrain. The powertrain configuration (in simulation and on the dynamometer) consists of a Compression Ignition Direct Ignition (CIDI) engine, a Continuously Variable Transmission (CVT) and an electric drive motor coupled to the CVT input shaft. The trade-off is studied in a simulated environment using PSAT with different controllers (fuzzy logic and rule based) and engine models (neural network and steady state models developed from ANL data).
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Toward compact and ultra-intense laser-based soft x-ray lasers
Sebban, S,Depresseux, A,Oliva, E,Gautier, J,Tissandier, F,Nejdl, J,Kozlova, M,Maynard, G,Goddet, J P,Tafzi, A,Lifschitz, A,Kim, H T,Jacquemot, S,Rousseau, P,Zeitoun, P,Rousse, A IOP 2018 Plasma physics and controlled fusion Vol.60 No.1
<P>We report here recent work on an optical field ionized (OFI), high-order harmonic-seeded EUV laser. The amplifying medium is a plasma of nickel-like krypton obtained by OFI when focusing a 1 J, 30 fs, circularly-polarized, infrared pulse into a krypton-filled gas cell or krypton gas jet. The lasing transition is the 3d<SUP>9</SUP>4d (<I>J</I>?=?0)?→?3d<SUP>9</SUP>4p (<I>J</I>?=?1) transition of Ni-like krypton ions at 32.8 nm and is pumped by collisions with hot electrons. The gain dynamics was probed by seeding the amplifier with a high-order harmonic pulse at different delays. The gain duration monotonically decreased from 7 ps to an unprecedented shortness of 450 fs full width at half-maximum as the amplification peak rose from 150 to 1200 with an increase of the plasma density from 3?×?10<SUP>18</SUP> to 1.2?×?10<SUP>20</SUP> cm<SUP>−3</SUP>. The integrated energy of the EUV laser pulse was also measured, and found to be around 2 <I>μ</I>J. It is to be noted that in the ASE mode, longer amplifiers were achieved (up to 2 cm), yielding EUV outputs up to 14 <I>μ</I>J.</P>
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N. KIM,H. LOHSE-BUSCH,A. ROUSSEAU 한국자동차공학회 2014 International journal of automotive technology Vol.15 No.2
Owing to ever more stringent regulations and customers’ expectations, auto manufacturers have beenconsidering numerous technology options to improve vehicle fuel economy. One of these is transmission technology, whichhas been shown to be one of the most cost-effective technologies. Over the past few years, transmissions have significantlyevolved and have impacted both performance and fuel efficiency. As one of the advanced tranmissions, the dual clutchtransmission (DCT) is the first automatic transmission to provide better efficiency than manual transmissions. DCTs providereduced shift shocks and better driver comfort in addition to higher top speeds and torques. In this paper, a model and shiftingcontroller for the DCT are developed in the vehicle systems context using Autonomie, a model-based vehicle simulation tool. Finally, the Autonomie DCT model and control strategy are validated using vehicle test data from Argonne’s AdvancedPowertrain Research Facility.
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