Abstract: An apparatus, system, and method are disclosed for determining the distribution of particulate matter on a particulate filter. The apparatus, in one embodiment, determines a first distribution of particulate matter by comparing the pressure change across the particulate filter with a change in engine operating conditions. The apparatus may include an input module for receiving input corresponding to engine operating conditions and input from a differential pressure sensor and a feedback module to determine a first distribution of particulate matter. The apparatus may further include a feed forward module for determining a particulate distribution trend and a selection control module to combine the first distribution of particulate matter with the particulate distribution trend to determine a second distribution of particulate matter. The distribution may be defined as a uniform distribution factor in certain embodiments.

Abstract: An apparatus, system, and method are disclosed for estimating ash accumulation. An interpolation module calculates a first particulate accumulation from an interpolation function. An ash feedback module calculates an ash accumulation as an ash feedback function of the first particulate accumulation and a stored first ash accumulation estimate. In one embodiment, an ash feedforward module calculates an added ash estimate. An ash accumulation module may calculate a second ash accumulation estimate as the sum of the ash accumulation and the added ash estimate. A regeneration module may deep clean the filter if the second ash accumulation estimate exceeds an ash threshold. In one embodiment, a soot calculation module calculates a soot accumulation as a second particulate accumulation minus the second ash accumulation estimate.

Abstract: An apparatus, system, and method are disclosed for determining the reliability of an estimate such as particulate accumulation on a diesel particulate filter, weighing the estimate according to a function of its reliability, weighing a prediction of particulate accumulation on the filter according to a function of the estimate's reliability, and combining the weighted estimate and weighted prediction to determine a combined particulate load estimate. The degree of reliability can be expressed as a trust factor, and a function of the trust factor can be used in a low-pass filter of the estimate. The trust factor value depends on filter air flow and particulate distribution in one embodiment. Regeneration of the particulate filter may be initiated depending on the value of the combined particulate load estimate.

Abstract: An apparatus, system, and method are disclosed for detecting and evaluating a filter regeneration event. The apparatus, in one embodiment, is configured to determine whether an oxidation rate of soot accumulated on a particulate filter has attained a level sufficient to indicate that a filter regeneration event is occurring. The apparatus may include an input module for receiving input relative to engine operating conditions and exhaust gas produced as a byproduct of engine operation, an oxidation module for communicating with the input module and for determining an oxidation rate of soot accumulated on a particulate filter from the input, and a regeneration detection module to determine whether a filter regeneration event is occurring. The apparatus may further categorize a detected filter regeneration event and to facilitate defining the actual condition of soot on a particulate filter.

Abstract: An apparatus, system, and method are disclosed for calculating a maximum back pressure for a particulate filter. An identification module identifies a target pressure function for an air flow and a pressure of the filter. A projection module projects a high air flow for the target pressure function. A calculation module calculates a maximum back pressure from the target pressure function for the high air flow. In addition, a test module may regenerate the filter if the if the maximum back pressure exceeds a pressure threshold. In one embodiment, the pressure threshold is a specified back pressure limit wherein the specified back pressure limit is the greatest filter back pressure an engine can tolerate while delivering rated power.

Abstract: An apparatus, system, and method are disclosed for providing system feedback from combined input values in a sensor-based control system wherein the reliability of a sensor response is questionable under defined conditions. The apparatus, in one embodiment, is configured to determine an output value. The apparatus may include an input module for receiving input from a sensor configured to provide a sensor response, an estimated expected response value, and a control module for determining an output value based on input from the sensor response and from the expected response value. To determine an output value, the sensor response and the expected response value may be weighted according to a predicted reliability of the sensor response or the model. The system may be embodied in an exhaust gas after-treatment system.

Abstract: An apparatus, system, and method are disclosed for providing system feedback from combined input values in a sensor-based control system wherein the reliability of a sensor response is questionable under defined conditions. The apparatus, in one embodiment, is configured to determine an output value. The apparatus may include an input module for receiving input from a sensor configured to provide a sensor response, an estimated expected response value, and a control module for determining an output value based on input from the sensor response and from the expected response value. To determine an output value, the sensor response and the expected response value may be weighted according to a predicted reliability of the sensor response or the model. The system may be embodied in an exhaust gas after-treatment system.

Abstract: An apparatus, system, and method are disclosed for determining the distribution of particulate matter on a particulate filter. The apparatus, in one embodiment, determines a first distribution of particulate matter by comparing the pressure change across the particulate filter with a change in engine operating conditions. The apparatus may include an input module for receiving input corresponding to engine operating conditions and input from a differential pressure sensor and a feedback module to determine a first distribution of particulate matter. The apparatus may further include a feed forward module for determining a particulate distribution trend and a selection control module to combine the first distribution of particulate matter with the particulate distribution trend to determine a second distribution of particulate matter. The distribution may be defined as a uniform distribution factor in certain embodiments.

Abstract: An apparatus, system, and method are disclosed for determining the reliability of an estimate such as particulate accumulation on a diesel particulate filter, weighing the estimate according to a function of its reliability, weighing a prediction of particulate accumulation on the filter according to a function of the estimate's reliability, and combining the weighted estimate and weighted prediction to determine a combined particulate load estimate. The degree of reliability can be expressed as a trust factor, and a function of the trust factor can be used in a low-pass filter of the estimate. The trust factor value depends on filter air flow and particulate distribution in one embodiment. Regeneration of the particulate filter may be initiated depending on the value of the combined particulate load estimate.

Abstract: An apparatus, system, and method are disclosed for estimating ash accumulation. An interpolation module calculates a first particulate accumulation from an interpolation function. An ash feedback module calculates an ash accumulation as an ash feedback function of the first particulate accumulation and a stored first ash accumulation estimate. In one embodiment, an ash feedforward module calculates an added ash estimate. An ash accumulation module may calculate a second ash accumulation estimate as the sum of the ash accumulation and the added ash estimate. A regeneration module may deep clean the filter if the second ash accumulation estimate exceeds an ash threshold. In one embodiment, a soot calculation module calculates a soot accumulation as a second particulate accumulation minus the second ash accumulation estimate.