Auswahl der wissenschaftlichen Literatur zum Thema „Engine look-up tables“
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Zeitschriftenartikel zum Thema "Engine look-up tables"
Stotsky, A. A. „Data-driven algorithms for engine friction estimation“. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 221, Nr. 7 (01.07.2007): 901–9. http://dx.doi.org/10.1243/09544070jauto230.
Der volle Inhalt der QuelleBastian, Andreas. „Modeling Fuel Injection Control Maps Using Fuzzy Logic and Neural Networks“. Journal of Robotics and Mechatronics 6, Nr. 4 (20.08.1994): 340–44. http://dx.doi.org/10.20965/jrm.1994.p0340.
Der volle Inhalt der QuelleHausberg, F., M. Plöchl, M. Rupp, P. Pfeffer und S. Hecker. „Combination of map-based and adaptive feedforward control algorithms for active engine mounts“. Journal of Vibration and Control 23, Nr. 19 (20.01.2016): 3092–107. http://dx.doi.org/10.1177/1077546315626323.
Der volle Inhalt der QuelleVogt, Michael, Norbert Mu¨ller und Rolf Isermann. „On-Line Adaptation of Grid-Based Look-up Tables Using a Fast Linear Regression Technique“. Journal of Dynamic Systems, Measurement, and Control 126, Nr. 4 (01.12.2004): 732–39. http://dx.doi.org/10.1115/1.1849241.
Der volle Inhalt der QuellePuleston, P. F., G. Monsees und S. K. Spurgeon. „Air-fuel ratio and speed control for low emission vehicles based on sliding mode techniques“. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 216, Nr. 2 (01.03.2002): 117–24. http://dx.doi.org/10.1243/0959651021541480.
Der volle Inhalt der QuelleDilibe, Ifeanyi. „Computational model of the fuel consumption and exhaust temperature of a heavy duty diesel engine using MATLAB/SIMULINK“. Poljoprivredna tehnika 45, Nr. 4 (2020): 51–70. http://dx.doi.org/10.5937/poljteh2004051d.
Der volle Inhalt der QuelleZhang, Haibo, und Fengyong Sun. „Direct Surge Margin Control for Aeroengines Based on Improved SVR Machine and LQR Method“. Mathematical Problems in Engineering 2013 (2013): 1–17. http://dx.doi.org/10.1155/2013/870215.
Der volle Inhalt der QuelleZhang, Y., X. Chen, X. Zhang, H. Jiang und W. Tobler. „Dynamic Modeling and Simulation of a Dual-Clutch Automated Lay-Shaft Transmission“. Journal of Mechanical Design 127, Nr. 2 (01.03.2005): 302–7. http://dx.doi.org/10.1115/1.1829069.
Der volle Inhalt der QuelleMarinoni, Andrea Massimo, Angelo Onorati, Giacomo Manca Di Villahermosa und Simon Langridge. „Real Driving Cycle Simulation of a Hybrid Bus by Means of a Co-Simulation Tool for the Prediction of Performance and Emissions“. Energies 16, Nr. 12 (15.06.2023): 4736. http://dx.doi.org/10.3390/en16124736.
Der volle Inhalt der QuelleDowell, Peter G., Sam Akehurst und Richard D. Burke. „Characterisation and optimisation of a real-time diesel engine model“. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 231, Nr. 14 (01.02.2017): 1913–34. http://dx.doi.org/10.1177/0954407017691618.
Der volle Inhalt der QuelleDissertationen zum Thema "Engine look-up tables"
Blanco, Rodríguez David. „Modelling and observation of exhaust gas concentrations for diesel engine control“. Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/32666.
Der volle Inhalt der QuelleThe dissertation covers the problem of the online estimation of diesel engine exhaust concentrations of NOx and '1. Two information sources are utilised: ¿ on-board sensors for measuring NOx and '1, and ¿ control oriented models (COM) in order to predict NOx and '1. The evaluation of the static accuracy of these sensors is made by comparing the outputs with a gas analyser, while the dynamics are identified on-board by perform- ing step-like transitions on NOx and '1 after modifying ECU actuation variables. Different methods for identifying the dynamic output of the sensors are developed in this work; these methods allow to identify the time response and delay of the sensors if a sufficient data set is available. In general, these sensors are accurate but present slow responses. Afterwards, control oriented models for estimating NOx and '1 are proposed. Regarding '1 prediction, the computation is based on the relative fuel-to-air ratio, where fuel comes from an ECU model and air mass flow is measured by a sensor. For the case of NOx, a set-point relative model based on look-up tables is fitted for representing nominal engine emissions with an exponential correction based on the intake oxygen variation. Different corrections factor for modeling other effects such as the thermal loading of the engine are also proposed. The model is able to predict NOx fast with a low error and a simple structure. Despite of using models or sensors, model drift and sensor dynamic deficiencies affect the final estimation. In order to solve these problems, data fusion strategies are proposed by combining the steady-state accuracy of the sensor and the fast estimation of the models by means of applying Kalman filters (KF). In a first approach, a drift correction model tracks the bias between the model and the sensor but keeping the fast response of the model. In a second approach, the updating of look-up tables by using observers is coped with different versions based on the extended Kalman filter (EKF). Particularly, a simplified KF allows to observe the parameters with a low computational effort. Finally, the methods and algorithms developed in this work are combined and applied to the estimation of NOx and '1. Additionally, the dissertation covers aspects relative to the implementation of the methods in series engines.
Blanco Rodríguez, D. (2013). Modelling and observation of exhaust gas concentrations for diesel engine control [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/32666
TESIS
Premiado
Hambarek, Djamel Eddine. „Développement d'une méthodologie d'essais dynamiques appliquée à la mise au point moteur“. Electronic Thesis or Diss., Ecole centrale de Nantes, 2023. http://www.theses.fr/2023ECDN0035.
Der volle Inhalt der QuelleThe work of this thesis responds to the context of the evolution of engine depollution norms together with the increase of the clientrequirements. It proposes a complete methodology of engine calibration considering dynamic effects with the aim of an efficient control in terms of emissions and performances. The method is divided into four steps: the dynamic design of experiments generating a set of RDE (Real Driving Emissions) cycles and dynamic variations of engine parameters using low discrepancy sequences: test results are used to train a dynamical model using LSTM neural network to predict output dynamic variations(CO, HC, NOx, Exhaust flow and temperature). The trained model is used in an optimization loop to calibrate the engine parameters using a genetic algorithm. The catalyst warm-up phase is the chosen phase for the development of the method. It is the phase occuring from engine start until the catalyst is the most efficient. It is indeed the phase with the most important emissions which is coherent with the aim of the engine calibration. The results showed noticeable improvements of CO, HC and Nox reduction compared to the steady state (baseline) method
Buchteile zum Thema "Engine look-up tables"
Bentley, Peter J. „Introduction“. In Digitized. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199693795.003.0005.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Engine look-up tables"
Serrano, José Ramón, Francisco José Arnau, Luis Miguel García-Cuevas González, Alejandro Gómez-Vilanova und Stephane Guilain. „Impact of a Holistic Turbocharger Model in the Prediction of Engines Performance in Transient Operation and in Steady State With LP-EGR“. In ASME 2018 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icef2018-9550.
Der volle Inhalt der QuelleTap, Ferry, Casper Meijer, Dmitry Goryntsev, Anton Starikov, Mijo Tvrdojevic und Peter Priesching. „Predictive CFD Modeling of Diesel Engine Combustion Using an Efficient Workflow Based on Tabulated Chemistry“. In ASME 2018 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icef2018-9758.
Der volle Inhalt der QuelleSiddareddy, Reddy Babu, Tim Franken, Michal Pasternak, Larisa Leon de Syniawa, Johannes Oder, Hermann Rottengruber und Fabian Mauss. „Real-Time Simulation of CNG Engine and After-Treatment System Cold Start. Part 1: Transient Engine-Out Emission Prediction Using a Stochastic Reactor Model“. In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0183.
Der volle Inhalt der QuelleStricker, Karla, Lyle Kocher, Ed Koeberlein, D. G. Van Alstine und Greg Shaver. „Turbocharger Map Reduction for Control-Oriented Modeling“. In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-5992.
Der volle Inhalt der QuelleKong, Changduk, Youngju Koo, Seonghee Kho und Hyeok Ryu. „Study on a GUI Type Fault Diagnostic Program for a Turboshaft Engine Using Fuzzy and Neural Networks“. In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22537.
Der volle Inhalt der QuelleRencher, J. K., A. H. Massoudi und D. W. Guillaume. „CFD Analysis of the Combustion of Hydrogen in a Simulated Two Dimensional Scramjet Engine“. In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61326.
Der volle Inhalt der QuelleMarion, Flore, Fred Betz und David Archer. „Cogeneration System Modeling Based on Experimental Results“. In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90184.
Der volle Inhalt der QuelleMajoumerd, Mohammad Mansouri, Peter Breuhaus, Jure Smrekar, Mohsen Assadi, Carmine Basilicata, Stefano Mazzoni, Leila Chennaoui und Giovanni Cerri. „Impact of Fuel Flexibility Needs on a Selected GT Performance in IGCC Application“. In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-68862.
Der volle Inhalt der QuelleElmagdoub, Abdelrahman W. M., Urban Carlson, Mattias Halmearo, James Turner, Chris Brace, Sam Akehurst und Nic Zhang. „Freevalve: Control and Optimization of Fully Variable Valvetrain-Enabled Combustion Strategies for Steady-State Part Load Performance and Transient Rise Times“. In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0294.
Der volle Inhalt der QuelleSerrano, José Ramón, Francisco José Arnau, Joaquín De la Morena, Alejandro Gómez-Vilanova, Stephane Guilain und Samuel Batard. „A Methodology to Calibrate Gas-Dynamic Models of Turbocharged Petrol Engines With Variable Geometry Turbines and With Focus on Dynamics Prediction During Tip-in Load Transient Tests“. In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-15169.
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