Adaptive air charge estimation based on support vector regression
First Claim
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1. A method of estimating an air charge for an engine, the method comprising:
- providing an air model for the engine, the air model including both a throttle model and a cylinder flow model,the cylinder flow model being a linear programming support vector regression (LP-SVR) model including a plurality of support vectors having associated weighting parameters;
transforming the air model to a linear parametric air model to allow online support vector regression learning;
determining the support vectors and the weighting parameters for the LP-SVR model using steady-state engine operation data;
adjusting the weighting parameters, while online, using a set of transient driving cycle data; and
estimating the air charge during engine operation using the air model,wherein the linear parametric air model is established without using signal derivatives and expressed as;
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Abstract
Examples of the present invention include air charge estimation models using linear programming support vector regression (LP-SVR). Air model parameters may be updated during operation of a vehicle, allowing the air model performance to be improved in the presence of part-to-part variation and part aging.
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16 Claims
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1. A method of estimating an air charge for an engine, the method comprising:
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providing an air model for the engine, the air model including both a throttle model and a cylinder flow model, the cylinder flow model being a linear programming support vector regression (LP-SVR) model including a plurality of support vectors having associated weighting parameters; transforming the air model to a linear parametric air model to allow online support vector regression learning; determining the support vectors and the weighting parameters for the LP-SVR model using steady-state engine operation data; adjusting the weighting parameters, while online, using a set of transient driving cycle data; and estimating the air charge during engine operation using the air model, wherein the linear parametric air model is established without using signal derivatives and expressed as; - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An apparatus, the apparatus being an engine controller for an engine,
the engine controller being operable to receive engine data including engine speed data, valve data, and throttle data, the engine controller being operable to determine an air charge for the engine using an air charge model including both a throttle model and a cylinder flow model, the cylinder flow model being a linear programming support vector regression (LP-SVR) model including a plurality of support vectors having associated weighting parameters, the weighting parameters being adjusted while online using a linear parametric air model configured to allow online support vector regression learning, and wherein the linear parametric air model is established without using signal derivatives and expressed as:
Specification