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Статті в журналах з теми "Automobiles Fuel consumption Mathematical models"
Micklem, J. D., D. K. Longmore, and C. R. Burrows. "Modelling of the Steel Pushing V-Belt Continuously Variable Transmission." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 208, no. 1 (January 1994): 13–27. http://dx.doi.org/10.1243/pime_proc_1994_208_094_02.
Повний текст джерелаIlyanov, S. V., N. A. Kuzmin, and G. V. Borisov. "EXPERIMENTAL RESULTS OF FUEL CONSUMPTIONS CONSIDERING THE SPEEDS OF CITY BUSES." Intelligence. Innovations. Investment, no. 3 (2021): 72–80. http://dx.doi.org/10.25198/2077-7175-2021-3-72.
Повний текст джерелаKurganov, V. M., M. V. Gryaznov, A. N. Dorofeev, and A. A. Aduvalin. "METHODOLOGY FOR RATIONING MATERIAL RESOURCES FOR BUSES." Intelligence. Innovations. Investment, no. 1 (2022): 102–16. http://dx.doi.org/10.25198/2077-7175-2022-1-102.
Повний текст джерелаGumerov, I. F., L. I. Fardeev, S. M. Andriyanov, A. V. Kozlov, A. A. Matveev, and K. V. Milov. "Thermodynamic analysis of an engine with compression ignition according to the controlled Miller cycle." Trudy NAMI, no. 3 (October 3, 2022): 27–35. http://dx.doi.org/10.51187/0135-3152-2022-3-27-35.
Повний текст джерелаMatveev, A. A., I. Kh Israfilov, V. N. Nikishin, and S. M. Andriyanov. "Thermodynamic analysis of working process effective indicators of a diesel engine with an open and closed crankcase ventilation system." Trudy NAMI, no. 4 (January 5, 2022): 22–30. http://dx.doi.org/10.51187/0135-3152-2021-4-22-30.
Повний текст джерелаÇapraz, Ahmet Gürcan, Pınar Özel, Mehmet Şevkli, and Ömer Faruk Beyca. "Fuel Consumption Models Applied to Automobiles Using Real-time Data: A Comparison of Statistical Models." Procedia Computer Science 83 (2016): 774–81. http://dx.doi.org/10.1016/j.procs.2016.04.166.
Повний текст джерелаSabo, Kristian, Rudolf Scitovski, Ivan Vazler, and Marijana Zekić-Sušac. "Mathematical models of natural gas consumption." Energy Conversion and Management 52, no. 3 (March 2011): 1721–27. http://dx.doi.org/10.1016/j.enconman.2010.10.037.
Повний текст джерелаZhang, Qian, Shaopeng Tian, and Xinyan Lin. "Recent Advances and Applications of AI-Based Mathematical Modeling in Predictive Control of Hybrid Electric Vehicle Energy Management in China." Electronics 12, no. 2 (January 14, 2023): 445. http://dx.doi.org/10.3390/electronics12020445.
Повний текст джерелаYeom, Chan-Uk, and Keun-Chang Kwak. "Performance Evaluation of Automobile Fuel Consumption Using a Fuzzy-Based Granular Model with Coverage and Specificity." Symmetry 11, no. 12 (December 4, 2019): 1480. http://dx.doi.org/10.3390/sym11121480.
Повний текст джерелаShkrabak, V. S., and N. I. Dzhabborov. "Method for determining probabilistic estimates of the specific fuel consumption of a gas turbine engine as a part of arable unit." Izvestiya MGTU MAMI 11, no. 1 (March 15, 2017): 72–77. http://dx.doi.org/10.17816/2074-0530-66933.
Повний текст джерелаДисертації з теми "Automobiles Fuel consumption Mathematical models"
Yen, Jeffrey Lee. "A system model for assessing water consumption across transportation modes in urban mobility networks." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39527.
Повний текст джерелаWatson, Cody. "Modeling of pressure transients in fuel injection lines." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/16869.
Повний текст джерелаLinde, Florian. "3D modelling of ship resistance in restricted waterways and application to an inland eco-driving prototype." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2389/document.
Повний текст джерелаAn eco-driving prototype, named EcoNav, is developed with the aim of optimizing a vessel speed in order to reduce fuel consumption for a given itinerary. EcoNav is organized in several modules : - a 2D hydraulic model simulating the flow conditions (current speed and water depth) along the itinerary; - a ship resistance model calculating the thrust necessary to counteract the hydrodynamic forces ; - a fuel consumption model calculating the fuel consumption corresponding to the thrust input; - a non linear optimization algorithm calculating the optimal speed profile. In order to evaluate the fuel consumption of an inland vessel, a ship resistance numerical model is developed in the first part of this PhD. This 3D numerical model simulates the flow around an inland self-propelled vessel and evaluates the hydrodynamic forces acting on the hull. A RANS solver is coupled with a quasi-Newton approach to find the equilibrium position and calculate ship sinkage. This method is validated by comparing the results of numerical simulations to towing tank tests. The numerical results with and without sinkage are also compared to study the influence of sinkage on ship resistance and on the accuracy of the method. Additionally, some empirical models are investigated and compared with the accuracy of the numerical method. Finally, the numerical model is used to determine if channel with and water depth restriction contribute to the same amount of ship resistance increase for the same level of restriction. The results of that investigation give insight to whether channel restriction can be characterized by a unique parameter (for instance the blockage ratio) or two parameters to distinguish water depth and channel with effects. In the second part of this PhD, the numerical methods used in the speed optimization model are described and validated. The speed optimization model is then used to simulate a real case: the itinerary of the self-propelled ship Oural on river Seine, between Chatou and Poses (153 km). The optimized fuel consumption is compared with the non-optimized fuel consumption, based on AIS speed profile retrieved on this itinerary. The effects of the ship trajectory and travel duration on fuel consumption are also investigated. The results of those investigations showed that optimizing the ship speed lead to an average fuel saving of 8 % and that using an optimal track and including real time information such as lock availability and river traffic can lead to additional fuel savings
Iorga-Simăn, Victor. "Etude par simulation numérique des écoulements dans le conduit d’admission d’un moteur à levée de soupape d’admission variable." Thesis, Paris, CNAM, 2012. http://www.theses.fr/2012CNAM0800/document.
Повний текст джерелаThe negative impact of automobiles on the environment has led to increased severity in the legislation concerning environmental protection. The problems encountered in the efforts intended to improve the efficiency of the spark ignition engine are derived from its inefficient operation under partial loads. The variable intake valve lift is capable of significant changes aiming at lower fuel consumption, especially in the frequent use area: low torque, low speed. An alternative to the experimental study of fluid flow is the approach by numerical simulation, CFD, using the software ANSYS-Fluent. The main purpose of the present doctoral thesis was to determine the fluid flow velocity during the intake, for two intake valve lift laws, when the engine is running at 815 rpm, and with an opening of the throttle plate at 21.6°. To do this, we have used two numerical simulation models: one two-dimensional, and one three-dimensional. The study by numerical simulation made it possible to clarify some important issues regarding the air flow velocity into the cylinder, and the level of turbulence
Rea, Jeremy Ryan. "An investigation of fuel optimal terminal descent." 2009. http://hdl.handle.net/2152/18393.
Повний текст джерелаtext
Quigley, Christopher John 1962. "Refueling and evaporative emissions of volatile organic compounds from gasoline powered motor vehicles." Thesis, 2007. http://hdl.handle.net/2152/3642.
Повний текст джерелаКниги з теми "Automobiles Fuel consumption Mathematical models"
McGill, R. Fuel consumption and emission values for traffic models. McLean, Va: U.S. Dept. of Transportation, Federal Highway Administration, 1985.
Знайти повний текст джерелаHensher, David A. Predicting automobile fuel consumption in the household sector: A disaggregate approach. [North Ryde, N.S.W.]: Macquarie University, School of Economic and Financial Studies, 1985.
Знайти повний текст джерелаGommersbach, Manfred. Ökonomische Analyse der PKW-Kraftstoffnachfrage in der Bundesrepublik Deutschland. Köln: Müller Botermann, 1988.
Знайти повний текст джерелаInternational Federation of Automobile Engineers' and Technicians' Associations. International Congress. The vehicle and the environment: Technical papers : XXIV FISITA Congress, 7-11 June, 1992, London : automotive technology serving society. London: published by Mechanical Engineering Publications Ltd. for the Institution of Mechanical Engineers, 1992.
Знайти повний текст джерелаFranzén, Mikael. The demand for gasoline in the OECD. [Göteborg, Sweden]: Gothenburg University School of Economics and Legal Science, 1990.
Знайти повний текст джерелаGaudry, Marc J. I. DRAG-2, un modèle économétrique appliqué au kilométrage, aux accidents et à leur gravité au Québec. Québec: Société de l'assurance automobile du Québec, 1994.
Знайти повний текст джерелаConniffe, Denis. Energy elasticities: Responsiveness of demands for fuels to income and price changes. Dublin: Economic and Social Research Institute, 1990.
Знайти повний текст джерелаConniffe, Denis. Energy elasticities: Responsiveness of demands for fuels to income and price changes : Executive summary. Dublin: Economic and Social Research Institute, 1990.
Знайти повний текст джерелаMalarz, Adam. Electricity generation in Japan: A fossil fuel demand model. Canberra: Australian Bureau of Agricultural and Resource Economics, 1992.
Знайти повний текст джерелаIzumi, K. H. A conflict analysis of 4D descent strategies in a metered, multiple-arrival route environment. Hampton, Va: NASA Langley Research Center, 1990.
Знайти повний текст джерелаЧастини книг з теми "Automobiles Fuel consumption Mathematical models"
Stennikov, Valery A., and Ivan V. Postnikov. "Problems of Modeling and Optimization of Heat Supply Systems." In Sustaining Power Resources through Energy Optimization and Engineering, 102–26. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9755-3.ch005.
Повний текст джерелаBurlaka, Serhiy, and Natalia Telekalo. "MODERNIZATION OF THE POWER SUPPLY SYSTEM OF A DIESEL POWER PLANT." In Modernization of research area: national prospects and European practices. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-221-0-10.
Повний текст джерелаТези доповідей конференцій з теми "Automobiles Fuel consumption Mathematical models"
Nguyen, The, Mohammad Elahinia, and Constantin Ciocanel. "A Magnetorheological Mount for Hydraulic Hybrid Vehicles." In ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2009. http://dx.doi.org/10.1115/smasis2009-1362.
Повний текст джерелаCasoli, Paolo, Luca Riccò, Federico Campanini, Antonio Lettini, and Cesare Dolcin. "Mathematical Model of a Hydraulic Excavator for Fuel Consumption Predictions." In ASME/BATH 2015 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/fpmc2015-9566.
Повний текст джерелаIgor, Egorov N., Kretinin V. Gennady, Leshchenko A. Igor, and Kuptzov V. Sergey. "Multi-Objective Robust Optimization of Air Engine Using IOSO Technology." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-53504.
Повний текст джерелаMills, Val D., John R. Wagner, and Darren M. Dawson. "Nonlinear Modeling and Analysis of Steering Systems for Hybrid Vehicles." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/de-23270.
Повний текст джерелаAli, Fakhre, Ioannis Goulos, Konstantinos Tzanidakis, Vassilios Pachidis, and Roberto d’Ippolito. "A Multidisciplinary Approach for the Comprehensive Assessment of Integrated Rotorcraft–Powerplant Systems at Mission Level." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-25037.
Повний текст джерелаGoulos, Ioannis, Panos Giannakakis, Vassilios Pachidis, and Pericles Pilidis. "Mission Performance Simulation of Integrated Helicopter–Engine Systems Using an Aeroelastic Rotor Model." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-94798.
Повний текст джерелаParkar, Omkar, Benjamin Snyder, and Sohel Anwar. "Optimization of Powertrain Energy Management for Range Extended Electric Vehicle Using Modified Particle Swarm Algorithm." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-69605.
Повний текст джерелаMahmoud, K. G., O. Knaus, T. Parikyan, and M. Patete. "Three Dimensional Ring Dynamics Modeling Approach for Analyzing Lubrication, Friction and Wear of Piston Ring-Pack." In ASME 2017 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icef2017-3586.
Повний текст джерелаJaved, Salman, Farhan Javed, and Samsher. "Effect of Boat Tail Profile on Drag Coefficient of a Sedan Using CFD." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-72653.
Повний текст джерелаSisca, Lorenzo, Alessandro Messana, Henrique de Carvalho Pinheiro, Alessandro Ferraris, Andrea Giancarlo Airale, and Massimiliana Carello. "Validation of a Numerical-Experimental Methodology for Structural Health Monitoring on Automotive Components." In ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/smasis2021-68159.
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