Abstract: A particulate filter ash loading prediction method including the steps of determining a maximum average lifetime for the particulate filter; performing a calculation of a running average of time between regenerations of the particulate filter; calculating an end-of-service-life ratio of the particulate filter dependent upon the maximum average lifetime and the running average; and comparing the end-of-service-life ratio to a predetermined minimum end-of-service-life ratio. If the end-of-service-life ratio is equal to or less than the minimum end-of-service-life ratio then indicating that at least one of service and replacement of the particulate filter is needed due to ash loading.

Abstract: A method for determining the service interval of a particulate filter including the steps of determining a normalized current pressure differential across the particulate filter and determining a normalized pressure differential across the particulate filter for clean conditions. The clean pressure normalized pressure differential is subtracted from the current differential and divided by the time between regeneration to determine a current factor. A maximum factor is predetermined and compared to the current factor to determine service life for the particulate filter.

Abstract: A particulate filter ash loading prediction method including the steps of determining a service age for the particulate filter; calculating an ash accumulation rate in the particulate filter; determining a maximum service age for the particulate filter dependent upon the ash accumulation rate; and comparing the service age to the maximum service age. If the service age exceeds the maximum service age then indicating that a service and/or replacement of the particulate filter is needed due to ash loading.

Abstract: A particulate filter (PF) ash loading prediction method includes the steps of: regenerating the PF using a first soot loading prediction model or a second soot loading prediction model; determining whether the regeneration of the PF was initiated by the first soot loading prediction model or the second soot loading prediction model; incrementing a first counter associated with the first soot loading prediction model or a second counter associated with the second soot loading prediction model, dependent on the determining step; comparing a ratio of the first counter and the second counter; and establishing whether the PF requires servicing, dependent on the ratio.

Abstract: A particulate filter ash loading prediction method including the steps of determining a maximum average time for the filter; performing a calculation of a running average of time between regenerations of the filter; calculating an end-of-service life ratio of the filter dependent upon the maximum average time and the running average. The method further includes the steps of determining a delta pressure adjustment factor to compensate for ash loading of the filter depending upon the end-of-service life ratio; and comparing the delta pressure adjustment factor to a predetermined maximum delta pressure value, and, if the delta pressure adjustment factor exceeds the predetermined maximum normalized delta pressure adjustment factor, then indicating that a service or replacement of the filter is needed due to the ash loading.

Abstract: A method for determining the service interval of a particulate filter including the steps of determining a normalized current pressure differential across the particulate filter and determining a normalized pressure differential across the particulate filter for clean conditions. The clean pressure normalized pressure differential is subtracted from the current differential and divided by the time between regeneration to determine a current factor. A maximum factor is predetermined and compared to the current factor to determine service life for the particulate filter.

Abstract: A particulate filter ash loading prediction method including the steps of determining a service age for the particulate filter; calculating an ash accumulation rate in the particulate filter; determining a maximum service age for the particulate filter dependent upon the ash accumulation rate; and comparing the service age to the maximum service age. If the service age exceeds the maximum service age then indicating that a service and/or replacement of the particulate filter is needed due to ash loading.

Abstract: A particulate filter (PF) ash loading prediction method includes the steps of: regenerating the PF using a first soot loading prediction model or a second soot loading prediction model; determining whether the regeneration of the PF was initiated by the first soot loading prediction model or the second soot loading prediction model; incrementing a first counter associated with the first soot loading prediction model or a second counter associated with the second soot loading prediction model, dependent on the determining step; comparing a ratio of the first counter and the second counter; and establishing whether the PF requires servicing, dependent on the ratio.

Abstract: A particulate filter ash loading prediction method including the steps of determining a maximum average time for the filter; performing a calculation of a running average of time between regenerations of the filter; calculating an end-of-service life ratio of the filter dependent upon the maximum average time and the running average. The method further includes the steps of determining a delta pressure adjustment factor to compensate for ash loading of the filter depending upon the end-of-service life ratio; and comparing the delta pressure adjustment factor to a predetermined maximum delta pressure value, and, if the delta pressure adjustment factor exceeds the predetermined maximum normalized delta pressure adjustment factor, then indicating that a service or replacement of the filter is needed due to the ash loading.

Abstract: A particulate filter ash loading prediction method including the steps of determining a maximum average lifetime for the particulate filter; performing a calculation of a running average of time between regenerations of the particulate filter; calculating an end-of-service-life ratio of the particulate filter dependent upon the maximum average lifetime and the running average; and comparing the end-of-service-life ratio to a predetermined minimum end-of-service-life ratio. If the end-of-service-life ratio is equal to or less than the minimum end-of-service-life ratio then indicating that at least one of service and replacement of the particulate filter is needed due to ash loading.