초록 ▼

A predictive model is derived for subsequent use in a misfire detector in an internal combustion engine. Data collected using a test engine is curve-fitted using NARMAX techniques to obtain a computational formula for the predictive model which relates deviant acceleration at the accessible cranksha

A predictive model is derived for subsequent use in a misfire detector in an internal combustion engine. Data collected using a test engine is curve-fitted using NARMAX techniques to obtain a computational formula for the predictive model which relates deviant acceleration at the accessible crankshaft section to deviant acceleration at the inaccessible crankshaft section. Thus, the model can be used during actual misfire detection to reduce the effects of the torsional oscillations.

대표청구항 ▼

[ What is claimed is:] [1.] A method of deriving a predictive model for use in a misfire detector for an internal combustion engine having a nonrigid crankshaft, said predictive model predicting motion of a remote section of said crankshaft which is relatively damped with respect to torsional oscill

[ What is claimed is:] [1.] A method of deriving a predictive model for use in a misfire detector for an internal combustion engine having a nonrigid crankshaft, said predictive model predicting motion of a remote section of said crankshaft which is relatively damped with respect to torsional oscillations, said predictive model being based on motion sensed at a non-remote section of said crankshaft which is relative undamped with respect to torsional oscillations, said method comprising the steps of:operating a test engine with and without induced misfires over a range of speeds and loads;measuring engine operating conditions over said range of speeds and loads, said engine operating conditions including crankshaft rotation intervals measured at both said non-remote section and said remote section of said crankshaft;determining deviant acceleration values at said remote and non-remote crankshaft sections in response to said crankshaft rotation intervals; andcurve-fitting said measured engine operating conditions using nonlinear autoregressive moving average with exogenous inputs (NARMAX) techniques to obtain a computational formula for said predictive model, wherein said deviant acceleration values determined for said non-remote section of said crankshaft are related to said deviant acceleration values determined for said remote section of said crankshaft.