On-board Diagnostic and Fault Detection Strategies for an Automotive Three-way Catalyst

نویسندگان

  • Kenneth R. Muske
  • James C. Peyton Jones
چکیده

This work presents model-based strategies for on-board catalyst monitoring and fault detection using a simplified catalyst oxygen storage and reversible deactivation model. The performance of the catalyst is inferred from the error between the post-catalyst exhaust gas oxygen sensor measurement and the model predicted value. Each of these strategies is based on the use of some test statistic that is computed from a window of post-catalyst prediction error data updated in real-time. A fault is reported when the value of this statistic exceeds a threshold that is determined from some specified confidence level. We conclude with an evaluation of these strategies.

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تاریخ انتشار 2004