Method to reduce engine combustion and harmonic noise for misfire detection
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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Abstract
A method and system for determining combustion and harmonic noise correction factors for current operating conditions corresponding to the actual vehicle and applying the combustion and harmonic noise correction factors to a sensor signal, thereby removing engine combustion and harmonic noise from the sensor signal and leaving a misfire data signal in the sensor signal.
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Citations
16 Claims
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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:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method to reduce engine combustion and harmonic noise for misfire detection on a sensor signal in a vehicle comprising the steps of:
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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 applying the combustion and harmonic noise correction factors to a sensor signal, thereby removing engine combustion and harmonic noise from the sensor signal and leaving a misfire data signal in the sensor signal further comprises; the engine controller receiving a raw sensor signal; and applying by the engine controller said determined correction factors to said raw sensor signal by dividing said raw sensor signal by said correction factors, thereby removing engine combustion and harmonic noise from said correction factors and leaving a clean data signal.
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9. A vehicle comprising:
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an internal combustion engine; an engine controller comprising a memory and a processor, wherein said memory stores instructions operable to cause said engine controller to perform the steps of; determining a combustion and harmonic noise correction factors for current operating conditions corresponding to the vehicle using an advanced replicated learning process; applying the combustion and harmonic noise correction factors to a sensor signal, the applying comprising dividing the sensor signal by the combustion and harmonic noise correction factors to remove engine harmonic noise from the sensor signal and leave a 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 advanced replicating learning process comprises the steps of; determining a 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 a set of 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 the engine 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 the engine controller to isolate a misfire data signal and a noise signal from said sensor signal and to determine 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. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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16. A vehicle comprising:
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an internal combustion engine; an engine controller comprising a memory and a processor, wherein said memory stores instructions operable to cause said engine controller to perform the steps of; determining a combustion and harmonic noise correction factors for current operating conditions corresponding to the vehicle using an advanced replicated learning process; applying the combustion and harmonic noise correction factors to a sensor signal, the applying comprising dividing the sensor signal by the combustion and harmonic noise correction factors to remove engine harmonic noise from the sensor signal and leave a 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 applying the combustion and harmonic noise correction factors to a sensor signal, thereby removing engine combustion and harmonic noise from the sensor signal and leaving a data signal in the sensor signal further comprises; the engine controller receiving a raw sensor signal; and applying by the engine controller said determined correction factors to said raw sensor signal by dividing said raw sensor signal by said correction factors, thereby removing engine combustion and harmonic noise from said correction factors and leaving a clean data signal.
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Specification