Estimation of Air-Fuel Ratio of a SI Engine From Exhaust Gas Temperature At Cold-Start Condition

Abstract

Wall wetting of injected fuel onto the intake manifold and cylinder wall causes unpredictable transient behavior of air-fuel mixing which results in a significant emission of unburned hydrocarbon (HC) emission during cold-start operation. Heated exhaust gas oxygen (HEGO) sensors cannot measure the air-fuel ratio (A/F) of exhaust gas during cold-start condition. Precise and fast estimation of air/fuel ratio of the exhaust gas is required to elucidate the wall-wetting phenomena and subsequent HC formation. Refined A/F estimation can enable the control of fuel injection minimizing HC emissions during cold-start conditions so that HC emissions can be minimized.

A new estimator for A/F of the exhaust gas has been developed. The A/F estimator described in this study utilizes measured exhaust gas temperature and general engine parameters such as engine speed, airflow, coolant temperature, etc. A fast response, fine-wire thermocouple was used to measure exhaust gas temperatures and a fast response flame ionization detector was used to measure HC emissions during the cold-start period. A Generalized Regression Neural Network Function Approximation (GRNN) was used to estimate the A/F of exhaust gas. The A/F traces generated by the GRNN algorithm agree very well with measurements.