View source for 17809233. SYSTEM AND METHOD FOR DIAGNOSING AN EXHAUST GAS SENSOR simplified abstract (Ford Global Technologies, LLC)

=SYSTEM AND METHOD FOR DIAGNOSING AN EXHAUST GAS SENSOR=


==Organization Name==

[[:Category:Ford Global Technologies, LLC|Ford Global Technologies, LLC]]


[[Category:Ford Global Technologies, LLC]]

==Inventor(s)==

[[:Category:Jose Francisco Martinez Leyva of Mexico City (MX)|Jose Francisco Martinez Leyva of Mexico City (MX)]][[Category:Jose Francisco Martinez Leyva of Mexico City (MX)]]

[[:Category:Andrew Bagnasco of Plymouth MI (US)|Andrew Bagnasco of Plymouth MI (US)]][[Category:Andrew Bagnasco of Plymouth MI (US)]]

[[:Category:Tyler Dewine of Ann Arbor MI (US)|Tyler Dewine of Ann Arbor MI (US)]][[Category:Tyler Dewine of Ann Arbor MI (US)]]

[[:Category:Hassene Jammoussi of Canton MI (US)|Hassene Jammoussi of Canton MI (US)]][[Category:Hassene Jammoussi of Canton MI (US)]]

[[:Category:Adam Krach of Canton MI (US)|Adam Krach of Canton MI (US)]][[Category:Adam Krach of Canton MI (US)]]

[[:Category:Gladys Galicia of Shelby Township MI (US)|Gladys Galicia of Shelby Township MI (US)]][[Category:Gladys Galicia of Shelby Township MI (US)]]

==SYSTEM AND METHOD FOR DIAGNOSING AN EXHAUST GAS SENSOR - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17809233 titled 'SYSTEM AND METHOD FOR DIAGNOSING AN EXHAUST GAS SENSOR

==Simplified Explanation==

The abstract describes a method and system for monitoring an exhaust gas sensor in an engine exhaust. The method involves estimating the time constant of an exhaust gas oxygen sensor based on the correlation between the rate of change of a Lambda value (a measure of air-fuel ratio) and a system time constant.

* The method and system monitor an exhaust gas sensor in an engine exhaust.
* The method estimates the time constant of an exhaust gas oxygen sensor.
* The estimation is based on the correlation between the rate of change of a Lambda value and a system time constant.

Potential applications of this technology:

* Automotive industry: This technology can be used in vehicles to monitor and optimize the performance of exhaust gas sensors, ensuring efficient combustion and reducing emissions.
* Environmental monitoring: The method and system can be applied in monitoring systems for industrial exhausts, helping to maintain compliance with environmental regulations and reduce pollution.

Problems solved by this technology:

* Inaccurate sensor readings: By estimating the time constant of the exhaust gas oxygen sensor, this technology can help identify and correct any inaccuracies in sensor readings, ensuring accurate air-fuel ratio measurements.
* Emission control: The method and system enable continuous monitoring of exhaust gas sensors, allowing for timely detection and correction of any issues that may lead to increased emissions.

Benefits of this technology:

* Improved engine performance: By accurately monitoring the exhaust gas sensor, this technology can optimize the air-fuel ratio, leading to improved engine efficiency and performance.
* Emission reduction: Continuous monitoring and adjustment of the exhaust gas sensor can help reduce emissions, contributing to environmental sustainability and compliance with emission standards.


==Original Abstract Submitted==

A method and system for monitoring an exhaust gas sensor coupled in an engine exhaust is provided. In one example, the method determines an estimate of an exhaust gas oxygen sensor time constant according to a correlation between a rate of change of a Lambda value and a system time constant.



[[Category:G01M15/10]]