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Method to reduce engine combustion and harmonic noise for misfire detection

  • US 9,523,322 B2
  • Filed: 12/14/2012
  • Issued: 12/20/2016
  • Est. Priority Date: 12/14/2012
  • Status: Active Grant
First Claim
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1. A method to reduce engine combustion and harmonic noise for misfire detection on a sensor signal in a vehicle comprising the steps of:

  • determining by an engine controller combustion and harmonic noise correction factors for current operating conditions of an engine corresponding to the vehicle;

    applying by the engine controller the combustion and harmonic noise correction factors to the sensor signal, the applying comprising dividing the sensor signal by the combustion and harmonic noise correction factors to remove engine combustion and harmonic noise from the sensor signal and leave a misfire data signal in the sensor signal;

    wherein the combustion noise correction factors relate to corrections due to imbalances in one or more of fueling, intake air, and spark timing factors of the internal combustion engine;

    wherein said step of determining combustion and harmonic noise correction factors corresponding to the actual vehicle uses an advanced replicating learning process to determine said correction factors;

    wherein said advanced replicating learning process comprises the steps of;

    determining new correction factors for said sensor signal in an initial learning region of engine operating conditions;

    propagating said new correction factors for said sensor signal to an adjacent learning region adjacent to said initial learning region as learning correction factors;

    using said learning correction factors to remove a portion of combustion and harmonic noise from said sensor signal when said engine begins operating in the adjacent learning region, thereby allowing a controller to isolate a misfire data signal and a noise signal from said sensor signal and to determine a new correction factors for said sensor signal in said adjacent engine operating region of said engine based on said data signal and said noise signal; and

    repeating the steps of propagating said new correction factors for said sensor signal to an adjacent learning region adjacent to said initial learning region as learning correction factors and using said learning correction factors to remove a portion of combustion and harmonic noise from said sensor signal when said engine begins operating in the adjacent learning region, thereby allowing a controller to isolate a misfire data signal and a noise signal from said sensor signal and to determine a new correction factors for said sensor signal in said adjacent engine operating region of said engine based on said data signal and said noise signal until correction factors corresponding to the actual vehicle are learned for each operating condition of the vehicle.

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