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US 2012/0232772 A1Published application
Adaptive air charge estimation based on support vector regression
AssigneeToyota Motor Engineering & Manufacturing North America, Inc.
InventorsJing Sun, Kenneth R. Butts, Jacob Edward Faust
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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.
Claims16
A method of estimating an air charge for an engine, the method comprising:
- providing an air model for the engine, the air model including a throttle model and a cylinder flow model,
- the cylinder flow model being a linear programming support vector regression (LP-SVR) model including support vectors having associated weighting parameters;
- determining the support vectors and the weighting parameters for the LP-SVR model using steady-state engine operation data;
- adjusting the weighting parameters using transient driving cycle data;
- and
- estimating the air charge during engine operation using the air model.
3 more elements
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 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.
Dependencies are inferred from the claim text.