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Fault Diagnosis by Estimating the In-Cylinder Pressure Progression of a Gasoline Engine

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15th European Workshop on Advanced Control and Diagnosis (ACD 2019) (ACD 2019 2018)

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Abstract

Being able to monitor the state of health for a system like the combustion engine is an essential aspect to reduce warranty costs and to increase the availability of the vehicle. As the combustion engine is a highly complex system, advanced model based methods need to be established to avoid false alarms and wrong repairs in the workshop. In the presented study, a method is introduced to meet these requirements. To demonstrate the application, faults with a similar effect on the vehicle, causing engine roughness, are investigated. Through a process model of the combustion and its transmission path, the engine speed can be calculated with its corresponding cylinder pressure. By evaluating the process parameters which define the simulated pressure in the combustion chamber, a conclusion regarding the faulty input can be drawn.

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Notes

  1. 1.

    This process behaves in a binary way, which means that either there is enough energy to combust the air-fuel mixture and the pressure progression behaves normal. Or, in the other case, no work at all is produced. Hence to be able to monitor trends in the ignition system, a detailed process analysis of the electric circuit has to be conducted. This was also figured out in [3].

  2. 2.

    The single cycles can be averaged to get a higher accuracy. However, the model can then no longer consider stochastic errors.

References

  1. Williams, J.: A n Overview of misfiring cylinder engine diagnostic techniques based on crankshaft angular velocity measurements. SAE Technical Paper 960039 (1996) https://doi.org/10.4271/960039

  2. Merkisz, J., Bogus, P., Grzeszcyk, R.: Overview of engine misfire detection methods used in on board diagnostics. J. Kones. Combust. Engines 8(1–2) (2001)

    Google Scholar 

  3. Isermann, R.: Combustion Engine Diagnosis. Springer, Berlin Heidelberg (2017).https://doi.org/10.1007/978-3-662-49467-7

  4. Khac, B., Jiri, T.: Approach to gasoline engine faults diagnosis based on crankshaft instantaneous angular acceleration. In: Proceedings of the 2012 13th International Carpathian Control Conference, ICCC (2012). https://doi.org/10.1109/CarpathianCC.2012.6228612

  5. Foerster, J., Lohmann, A., Mezger, M., and Ries-Müller, K.: Advanced engine misfire detection for SI-engines. SAE Technical Paper 970855 (1997). https://doi.org/10.4271/970855

  6. Fuehrer, J., Sinsel, S., Isermann, R.: Erkennung von Zuendaussetzern aus Drehzahlsignalen mit Hilfe eines Frequenzbereichsverfahrens. Proceedings 13. Tagung Elektronik im Kraftfahrzeug, Haus der Technik Essen (1993)

    Google Scholar 

  7. Fehrenbach, H., Hohmann, C., Schmidt, T., Schultalbers, W., Rasche, H.: Bestimmung des Motordrehmoments aus dem Drehzahlsignal. MTZ Motortechnische Zeitung 12 (2002). https://doi.org/10.1007/BF03226669

  8. Kallenberger, C., Hamedovi, H., Zoubir, A.: Evaluation of torque estimation using gray-box and physical crankshaft modeling. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 3 (2008). https://doi.org/10.1109/ICASSP.2008.4517913

  9. Hirahara, H., Yoshida, K., Iwase, M.: Torque Estimation based on Nonlinear Engine Model Considering Crankshaft Torsion. IEEE/ASME International Conference on Advanced Intelligent Mechatronics (2010). https://doi.org/10.1109/AIM.2010.5695893

  10. Al-Durra, A., Fiorentini, L., Canova, M., Yurkovich, S.: A Model-based estimator of engine cylinder pressure imbalance for combustion feedback control applications. Proceedings of the 2011 American Control Conference (2011) https://doi.org/10.1109/ACC.2011.5991196

  11. Taglialatela, F., Cesario, N., Lavorgna, M., Merola, S.S., Vaglieco, B.M.: Use of Engine Crankshaft Speed for Determination of Cylinder Pressure Parameters. SAE Technical Paper Series (2010). https://doi.org/10.4271/2009-24-0108

  12. Basshuysen, R.V.: Handbuch Verbrennungsmotoren. Springer Vieweg, Wiesbaden (2017) https://doi.org/10.1007/978-3658-10902-8

  13. Kuentscher, V., Hoffmann, W.: Kraftfahrzeugmotoren: Auslegung und Konstruktion, pp. 978–3834330000. Vogel, Vogel-Fachbuch (2006)

    Google Scholar 

  14. Hartl, F., Dlask, A., Grasreiner, S.: Online Identifikation von Laufunruhe an einem Vierzylinder Otto DI Motor als Beitrag zur Ueberwachung des SOH und zur praediktiven Wartung. Technical report, TUDpress (2018) ISBN 978-3-95908-050-7

    Google Scholar 

  15. Hartl, F., Brueckner, J., Ament, C.: Rail pressure estimation for fault diagnosis in high pressure fuel supply and injection system. IFAC Conference on Nonlinear Control and Mechatronic Systems (2019)

    Google Scholar 

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Correspondence to Florian Hartl .

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Hartl, F., Ament, C. (2022). Fault Diagnosis by Estimating the In-Cylinder Pressure Progression of a Gasoline Engine. In: Zattoni, E., Simani, S., Conte, G. (eds) 15th European Workshop on Advanced Control and Diagnosis (ACD 2019). ACD 2019 2018. Lecture Notes in Control and Information Sciences - Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-030-85318-1_6

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