SAE Technical Paper Series 2001
DOI: 10.4271/2001-01-0558
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A Production Wide-Range AFR Sensor Response Diagnostic Algorithm for Direct-Injection Gasoline Application

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Cited by 9 publications
(4 citation statements)
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“…In Guardiola, Pla, Blanco-Rodriguez, Mazer, and Hayat (2013) an algorithm is presented that estimates the sensor offset using a Kalman filter. Algorithms that estimate the parameters that describe the dynamics of the sensor are presented in Michalske and Auth (2008), Umehara (2010), Rupp and Guzzella (2010a), Rupp and Guzzella (2010b), Maloney (2001). However, the latter approaches require specific excitation scenarios to work properly.…”
Section: Application: Wide-range Oxygen Sensor In a Diesel Enginementioning
confidence: 99%
“…In Guardiola, Pla, Blanco-Rodriguez, Mazer, and Hayat (2013) an algorithm is presented that estimates the sensor offset using a Kalman filter. Algorithms that estimate the parameters that describe the dynamics of the sensor are presented in Michalske and Auth (2008), Umehara (2010), Rupp and Guzzella (2010a), Rupp and Guzzella (2010b), Maloney (2001). However, the latter approaches require specific excitation scenarios to work properly.…”
Section: Application: Wide-range Oxygen Sensor In a Diesel Enginementioning
confidence: 99%
“…For highly accurate λ control, noise caused by pumping effect must be filtered. This can be achieved by proper sampling strategy [7] and by the choice of pass-band of UEGO sensor signal's digital filter according to frequency domain analysis [8].…”
Section: Signals Acquisition and Frequency-domain Analysismentioning
confidence: 99%
“…In such an application the feedback provided by a UEGO lambda sensor should be used to adaptively modify the RNN estimator to take into account exogenous effects. Moreover, RNN-based estimators are well suited for diagnosis of injection/air intake system and lambda sensor failures (Maloney, 2001). Differently from control applications, in this case it is envisioned that the AFR prediction includes the measuring delay.…”
Section: Potentialities Of Rnn For Afr Estimationmentioning
confidence: 99%