Patent Application
20100313629
The present patent relates to engine exhaust particulate filters, and more particularly to methods for estimating the soot levels of a particulate filter in the exhaust of a diesel engine.
Many factors including environmental responsibility and modern environmental regulations on engine exhaust emissions have reduced allowable acceptable levels of certain pollutants that may enter the atmosphere following the combustion of fossil fuels. Increasingly more stringent emission standards require greater control over both the combustion of fuel within the engine, and may require post combustion treatment of the exhaust. For example, the allowable levels of nitrogen oxides (NOX) and particulate matter have been greatly reduced over the last several years. To address, among other issues, environmental concerns, many diesel engines now have an exhaust particulate filter within an exhaust system of the engine purposed to reduce the amount of particulate matter released into the atmosphere.
In order to increase the service life of the exhaust particulate filter, an engine may be instructed by an engine control module to perform a regeneration cycle for the exhaust particulate filter that causes exhaust gas temperatures to rise to a level to regenerate the exhaust particulate filter by burning the trapped particulate matter. The regeneration cycle increases the fuel usage of the engine. Thus, it is important to accurately estimate how much particulate matter is within the exhaust gas particulate filter, also referred to as the soot load of the exhaust particulate filter, to prevent premature regeneration of the particulate filter and the increased fuel usage that accompanies the regeneration.
According to one process, a method estimates a soot level within an exhaust gas particulate filter. The method generates a pressure change based soot load estimate within the exhaust gas particulate filter at the first time based upon a pressure change from the input to the output of an exhaust gas particulate filter. A pressure change based soot load estimate within the exhaust gas particulate filter at a second time is generated based upon the pressure change from the input to the output of an exhaust gas particulate filter. The method calculates a restriction sensitivity of the exhaust gas particulate filter utilizing restriction amounts within the exhaust gas particulate filter and the soot load estimates within the exhaust gas particulate filter at the first time and the second time. A model based soot load estimate for the exhaust gas particulate filter is selected when the restriction sensitivity falls below a predetermined threshold.
According to another process, a method determines a need to perform regeneration of a diesel particulate filter in a diesel engine exhaust. The method predicts a soot load of a diesel particulate filter with a pressure change based soot load estimate based upon a pressure change across the diesel particulate filter at a first time and a second time. A restriction sensitivity for the diesel particulate filter is calculated based upon the pressure change across the diesel particulate filter at the first time and the second time. The method transitions from the pressure change based soot load estimate to a model based soot accumulation estimate of the soot load of the diesel particulate filter upon the restriction sensitivity falling below a predetermined threshold. Regeneration of the diesel particulate filter is requested after the estimated soot level reaches a preset level based upon the soot accumulation model.
According to a further process, a method selects a soot estimation model for a diesel particulate filter. The method monitors a volumetric flow rate of engine exhaust. Temperature information of the diesel particulate filter is obtained. The method measures a pressure change from an input to an output of the diesel particulate filter at a first time. A pressure change based soot load estimate within the diesel particulate filter at the first time is generated based upon the pressure change from the input to the output of an exhaust gas particulate filter. The method compares the pressure change based soot load estimate at the first time to a predetermined threshold. A model based soot load estimate for the diesel particulate filter is selected when the pressure change based soot load estimate at the first time is above a predetermined threshold. The method measures a pressure change from an input to an output of the diesel particulate filter at a second time. A pressure change based soot load estimate within the diesel particulate filter is generated at the second time based upon the pressure change from the input to the output of an exhaust gas particulate filter. The method calculates a restriction sensitivity for the diesel particulate filter utilizing the pressure change across the diesel particulate filter at the first time and a second time and the pressure change based soot load estimates within the diesel particulate filter at the first time and the second time. A model based soot load estimate for the diesel particulate filter is selected when the restriction sensitivity is below a preset threshold.
According to one embodiment, an exhaust gas particulate filter comprises an input, an output, a filtering element; and at least one measurement node. The at least one measurement node obtains an input measurement indicative of a pressure change from the input to the output of the exhaust gas particulate filter.
Other features the processes will be apparent from the following specification taken in conjunction with the following drawings.
To understand the present invention, it will now be described by way of example, with reference to the accompanying drawings in which:
a is a flow diagram depicting a sampling and recording sub-loop utilized with the method of selecting a model of estimating a soot load of an exhaust gas particulate filter.
While this process is susceptible of being performed in many different forms, there is shown in the drawings and will herein be described in detail certain processes of the method with the understanding that the present disclosure is to be considered as an exemplification of the principles of the process and is not intended to limit the broad aspect of the method to the process illustrated.
According to one process as shown in
As shown in
The process next determines if the sample time is a predetermined time at block 112. If the sample time is not a predetermined time, the process reinitiates the sampling and recording sub-loop 100. If the sample time is the predetermined time, the process samples and records a restriction level of the exhaust gas particulate filter (R) and calculates and records a pressure change based soot load estimate for a soot load within the particulate filter (DPSLE) at block 114.
The restriction level of the exhaust gas particulate filter is calculated according to the following formula:
Where ΔP of Exhaust Gas Particulate Filter is the pressure change from the input to the output of the exhaust gas particulate filter.
The pressure change based soot load estimate for the soot load within the particulate filter is estimated based on the change in pressure between the input of the exhaust gas particulate filter and the output of the exhaust gas particulate filter. A greater amount of soot within the exhaust gas particulate filter will create a larger pressure change through the exhaust gas particulate filter.
Turning back to
Once the second sample and recording sub-loop 100 is preformed, the process calculates a restriction sensitivity (RS) for the exhaust gas particulate filter as shown at block 26. The restriction sensitivity is calculated using the following formula:
where R1 is the restriction level of the exhaust gas particulate filter recorded from block 18 at a first time, and R2 is the restriction level of the exhaust gas particulate filter recorded from block 24 at a second time. Similarly, DPSLE1 is the pressure change based soot load estimate generated at block 18 at the first time, and DPSLE2 is the pressure change based soot load estimate generated at block 24 at the second time.
The restriction sensitivity is compared to a stored restriction sensitivity threshold level at block 28. If the restriction sensitivity is below the stored restriction sensitivity threshold level, a model based soot load estimate is initiated, as shown at block 30. The model based soot load estimate is used to determine when regeneration of the exhaust gas particulate filter is required. Once the model based soot load estimate is initiated, regeneration of the exhaust gas particulate filter will occur based once the model based soot load estimate indicates that the particulate filter is reaching capacity and requires regeneration. As the model based soot load estimate is contained within the electronic control module, the electronic control module will initiate the regeneration as indicated by the model based soot load estimate.
However, if the restriction sensitivity is above the stored restriction sensitivity threshold level, the pressure change based soot load estimate is continued, shown at block 32, and the process resets the recorded values and restarts the process 10 as shown at block 16.
The restriction sensitivity is utilized to select the model used to estimate the soot load of the exhaust particulate filter in order to more accurately indicate when regeneration is required. A model based soot load estimate may be created using data generated from physical testing of the exhaust particulate filter under various conditions so that an accurate representation of the amount of soot within the filter is predicted. The model based soot load estimate is only utilized once the restriction sensitivity falls below a certain level, therefore, the model based soot load estimate may be optimized for soot loads above a predetermined value. As the model based soot load estimate does not have to cover all levels of soot loading within the filter, the model based soot load estimate may provide accurate soot load estimates above a predetermined soot load, helping to prevent premature regeneration of the exhaust gas particulate filter.
The pressure change based soot load estimate similarly may be tailored to soot loadings below a certain estimated soot load level. The pressure change based soot load estimate is calculated and monitored continuously, therefore, the electronic control module may switch to the model based soot load estimate at any time it is determined that the restriction sensitivity is below the threshold level. This process prevents unnecessary regenerations of the exhaust gas particulate filter, while also ensuring that the exhaust gas particulate filter operates effectively throughout its lifecycle without compromising the emissions released into the atmosphere or shortening the service life of the filter.
The above process has been described in connection with an engine, more specifically a diesel engine, but is adapted to be used on many combustion process, such as electricity generating stations that utilize fossil fuels to generate electricity, manufacturing plant furnaces, building boilers, heating oil furnaces, and other sources of particulate matter from combustion of fossil fuels.
While the specific embodiments have been illustrated and described, numerous modifications come to mind without significantly departing from the spirit of the invention, and the scope of protection is only limited by the scope of the accompanying Claims.
