Dossier: New Trends on Engine Control, Simulation and Modelling
Open Access
Issue
Oil & Gas Science and Technology - Rev. IFP
Volume 62, Number 4, July-August 2007
Dossier: New Trends on Engine Control, Simulation and Modelling
Page(s) 427 - 435
DOI https://doi.org/10.2516/ogst:2007054
Published online 06 December 2007
  • Papers from “model-based” mini-survey: [Google Scholar]
  • Anders, J.W. and Franchek, M.A. (2005) Nonlinear adaptive engine speed control using an instrumental variables approach and a truncated volterra series. Proceedings of IMECE. [Google Scholar]
  • Antory, D. (2005) Application of a data-driven monitoring technique to diagnose air leaks in an automotive diesel engine: A Case study. Mech. Syst. Signal Process, 21, 2, 795-808. [CrossRef] [Google Scholar]
  • Arsie, I.,Pianese, C. and Sorrentino, M. (2006) A procedure to enhance identification of recurrent neural networks for simulating air-fuel ratio dynamics in SI engines. Eng. Appl. Artificial Intelligence, 19, 1, 65-77. [CrossRef] [Google Scholar]
  • Bauer, A., Broy, M., Romberg, J., Schätz, B., Braun, P., Freund, U., Mata, N., Sandner, R. and Ziegenbein, D. (2005) AutoMoDe-Notations, Methods and Tools for Model-based development of automotive software. SAE paper No. 05AE-268, in Proceedings of the 2005 SAE World Congress, Detroit, MI, April 2005, Society of Automotive Engineers. [Google Scholar]
  • Bengtsson, J.,Strandh, P.,Johansson, R.,Tunestal, P. and Johansson, B. (2006) Hybrid control of homogeneous charge compression ignition (HCCI) engine dynamics. Int. J. Control, 79, 5, 422-448. [CrossRef] [Google Scholar]
  • Cipollone, R. and Sughayyer, M. (2003) Transient air/fuel ratio control in si engines, The Institute of measurement and control. [Google Scholar]
  • Hafner, M. and Isermann, R. (2003) Multiobjective optimiza-tion of feedforward control maps in engine management systems towards low consumption and low emissions. ICEF. Trans. Inst. Meas. Control, 25, 57-74. [CrossRef] [MathSciNet] [Google Scholar]
  • Jeutter, R. and Heppner, B. (2004) Model-based system Development – Is it the solution to control the expanding sys-tem complexity in the vehicle. SAE World Congress. [Google Scholar]
  • Johnsson, R. (2005) Cylinder pressure reconstruction based on complex radial basis function networks from vibration and speed signals. Mech. Syst. Signal Process, 20, 8, 1923-1940. [CrossRef] [Google Scholar]
  • Kech, J.M. and Klotz, H. (2002) Model-based sequential tur-bocharging optimization for series 8000 M70/M90 engines, SAE World Congress. [Google Scholar]
  • Kimmich, F.,Schwarte, A. and Isermann, R. (2005) Fault detection for modern diesel engines using signal-and process model-based methods. Control Eng. Pract., 13, 2, 189-203. [CrossRef] [Google Scholar]
  • Jong, Min Choi, Il Sang, Yoo, Young, Won Park and Joong, Yong Park (2002) Model-based architecting of reliability, availability and maintainability applications. SAE World Congress. [Google Scholar]
  • Mutz, M., Huhn, M., Goltz, U. and Krömke, C. (2003) Model based system development in automotive. SAE World Congress. [Google Scholar]
  • Park, S., Yoo, H., Park, Y., Lee, S., Park, S., Kim, S. and Lee, K. (2006) Model-based development of engine control system from concept to vehicle. SAE World Congress. [Google Scholar]
  • Ranville, S. (2002) Practical application of model-based soft-ware design for automotive. SAE World Congress. [Google Scholar]
  • Rappl, M., Braun, P., Von Der Beeck, M. and Schröder, C. (2002) Automotive software development: A model based approach. SAE World Congress. [Google Scholar]
  • Schwarzmann, D., Nitsche, R. and Lunze, J. (2006) Diesel boost pressure control using Flatnes-based internal model control. SAE World Congress. [Google Scholar]
  • Shaver, G.M.,Roelle, M.J. and Gerdes, J.C. (2006) Modeling cycle-to-cycle dynamics and mode transition in HCCI engines with variable valve actuation. Control Eng. Pract., 14, 3, 213-222. [CrossRef] [Google Scholar]
  • Turin, R., Mills, J., Fowlern, S. and Myers, C. (2005) Enabling virtual development for practical engine control. SAE World Congress. [Google Scholar]
  • OTHER REFERENCES: [Google Scholar]
  • Abida, J. (2000) Brevet FR2789731 : Procédé de détermina-tion du débit d'air entrant dans un moteur à combustion interne équipé d'un circuit de recirculation des gaz d'échappement. [Google Scholar]
  • Aimard, F. (1995) Modélisation de pots catalytiques trifonc-tionnels. Utilisation en contrôle moteur et diagnostic. PhD thesis, Université Paris IX Dauphine. [Google Scholar]
  • Astrom, K.J. and Wittenmark, B. (1984) Computer Controlled Systems, Theory and Design, Prentice Hall. [Google Scholar]
  • Boutin, S. (2005) A modular architecture for embedded applicative software. VDI Congress, Baden. [Google Scholar]
  • Buzy, A., Cotte, P. and Visconti, J. (2005) Online Adaptive DOEs and global modelling for Diesel engines and DPF cali-bration. IAV Berlin Conference: Design of Experiments in Engine Development. [Google Scholar]
  • Colin, H. (2004) Renault's Universal HIL for Powertrain. Conférence utilisateurs dSPACE. [Google Scholar]
  • Dauron, A. (1991) Modélisation et commande d'un moteur à combustion interne : application à la régulation de richesse. PhD Thesis, Université Paris IX Dauphine. [Google Scholar]
  • Di Penta, D., Bencherif, K. and Sorine, M. (2005) A Reduced Fuel Cell Stack Model for Control and Fault Diagnosis. ASME European Fuel Cell Technology and Applications Conference. [Google Scholar]
  • Dspace: http://www.dspaceinc.com [Google Scholar]
  • Emery, P. (2002) Modélisation simplifiée des moteurs essence à injection directe par réduction des modèles physiques multidimensionnels. PhD Thesis, Université de Paris VI. [Google Scholar]
  • Goodwin, G.C. and Sin, K.S. (1984) Adaptive, filtering and Control, Prentice Hall. [Google Scholar]
  • Heinecke, H. et al. (2006) AUTOSAR – Current results and preparations for exploitation. 7th EUROFORUM conference `Software in the vehicle'. [Google Scholar]
  • Ketfi-Cherif, A. (1999) Modélisation mathématique d'or-ganes de véhicules automobiles à basse consommation. Applications en simulation, estimation et commande. PhD Thesis, Université Paris IX Dauphine. [Google Scholar]
  • Ketfi-Cherif, A., von Wissel, D., Beurthey, S., and Sorine, M. (2000) Modeling and control of a NOx trap catalyst. SAE World Congress. [Google Scholar]
  • Martinez, A., Rieuneau, F., Cochepin, D. and Vallée, F. (2006) Construction des méthodes et outils pour la SdF des systèmes de contrôle embarqués. Lambda-Mu 15 to be pre-sented in Poster session. [Google Scholar]
  • Matlab/Simulink: http://www.mathworks.com [Google Scholar]
  • Millet, J.-B., Maroteaux, F., Emery, P. and Sorine, M. (2006) A reduced model of HCCI combustion in view of application to model based engine control systems. to be presented in SAE Powertrain & Fluid Systems Conference, Toronto. [Google Scholar]
  • Royer, L. and Le Vaillant, C. (2006) Pilot software Integration plateform for transmission. Conference: `Virtual Product Development (VPD) in Automotive Engineering'. [Google Scholar]
  • Sadai, S. (2006) Improved diesel particle filter thermal man-agement using simulation tools. to be presented in IFP Conference: New Trends on Engine Control, Simulation and Modelling. [Google Scholar]
  • Talon, V., Tabet, T., Castric, S. and Emery, P. (2006) Engine control model based design with achille Library. to be pre-sented in IFP Conference: New Trends on Engine Control, Simulation and Modelling. [Google Scholar]
  • Villeneuve, A. (2004) Dual mode electric infinitely variable transmission. Aachener Kolloquium Fahrzeug und Motorentechnik. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.