Non-Intrusive Diagnostics of Oxygen Sensors

Paper #:
  • 2017-01-1688

Published:
  • 2017-03-28
Abstract:
The usage of the universal exhaust gas oxygen (UEGO) sensor to control the the air-fuel ratio (AFR) in gasoline engines allowed to significantly improve the efficiency of the combustion process and reduce tailpipe emissions. The diagnostics of this sensor is very important to ensure proper operation and indicate the need for service when the sensor fails to accurately determine the AFR upstream of the catalyst. California air resources board (CARB) has imposed several legislations around the operation of the UEGO sensor and particularly when specific faults would cause tailpipe emissions to exceed certain limits. In this paper, the possible sensor faults are reviewed, and a non-intrusive diagnostics monitor is proposed to detect, identify and estimate the magnitude of the fault present. This paper extends the approach in [1] where technical details are emphasized and algorithm improvements are discussed. Results from online vehicle implementation of the algorithm in different experimental vehicles are shown and discussed. [1] H. Jammoussi, I. Makki, D. Filev and M. Franchek, {Statistics-Based Detection and Isolation of UEGO Sensor Faults}, Dynamic Systems and Control Conference, Palo Alto, California, 2013 This work is covered by Ford owned US Patents H. Jammoussi, I. Makki, J.M. Kerns and M. Casedy, A Passive Approach to Detect the Upstream Oxygen Sensor 6-Patterns Faults. United States Patent, Application number 13/352,931 H. Jammoussi, I. Makki, D. Filev, A. Banker, M. Uhrich, M. Casedy, "Exhaust Gas Sensor Diagnosis and Controls Adaptation", United States Patent, Application number 13/779,349 H. Jammoussi, I. Makki, D. Filev, A. Banker, M. Uhrich, M. Casedy, "Exhaust Gas Sensor Controls Adaptation For Asymmetric Degradation Responses", United States Patent, Application number 13/901,441
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