Control of knocking combustion in spark-ignition engines is challenging due to the random nature of the knock process. In this work, a new stochastic knock control system is proposed based on the likelihood ratio of the observed knock intensities to those expected under borderline knock conditions. Unlike most prior methods which implement some form of knock event-based control or quantify the error at a specific point of the knock intensity distribution, the proposed method is sensitive to any departures from the borderline knock reference distribution. The performance of the controller is analyzed using both individual time-history instances of the response and extensive Monte Carlo simulations both with and without disturbances. The results show that the new controller has a significantly improved regulatory response relative to conventional strategies and recovers from overly retarded conditions more quickly. The method is robust to disturbances and is able to operate closer to the knock limit without increased risk of engine damage.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Likelihood Control of Knock Intensity


    Additional title:

    Sae Int. J. Engines


    Contributors:

    Published in:

    Publication date :

    2022-12-07


    Size :

    13 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    A Control-Oriented Knock Intensity Estimator

    Forte, Claudio / Corti, Enrico / Bianchi, Gian Marco et al. | SAE Technical Papers | 2017


    AUDIBILITY ANTI-KNOCK TESTS AND KNOCK-INTENSITY EVALUATION

    ROESCH, DANIEL | SAE Technical Papers | 1926


    EFFECT OF KNOCK INTENSITY ON FUEL KNOCK RATINGS

    MacCoull, Neil | SAE Technical Papers | 1937


    Consideration for evaluating knock intensity

    Nakajima,Y. / Ohoda,M. / Nagai,T. et al. | Automotive engineering | 1982


    Experimental Validation of a Likelihood-Based Stochastic Knock Controller

    Thomasson, Andreas / Shi, Haoyun / Lindell, Tobias et al. | BASE | 2016

    Free access