US20120023903A1 - Apparatus and method for monitoring regeneration frequency of a vehicle particulate filter - Google Patents

Apparatus and method for monitoring regeneration frequency of a vehicle particulate filter Download PDF

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US20120023903A1
US20120023903A1 US12/844,991 US84499110A US2012023903A1 US 20120023903 A1 US20120023903 A1 US 20120023903A1 US 84499110 A US84499110 A US 84499110A US 2012023903 A1 US2012023903 A1 US 2012023903A1
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Prior art keywords
soot
particulate filter
host machine
vehicle
modeled
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US12/844,991
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Rebecca A. Oemke
Cheryl J. Stark
Steve L. Melby
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GM Global Technology Operations LLC
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GM Global Technology Operations LLC
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Priority to US12/844,991 priority Critical patent/US20120023903A1/en
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Assigned to WILMINGTON TRUST COMPANY reassignment WILMINGTON TRUST COMPANY SECURITY AGREEMENT Assignors: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
Assigned to GM Global Technology Operations LLC reassignment GM Global Technology Operations LLC CHANGE OF NAME (SEE DOCUMENT FOR DETAILS). Assignors: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
Priority to DE102011108238A priority patent/DE102011108238A1/en
Priority to CN2011102132143A priority patent/CN102345492A/en
Publication of US20120023903A1 publication Critical patent/US20120023903A1/en
Abandoned legal-status Critical Current

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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01NGAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N9/00Electrical control of exhaust gas treating apparatus
    • F01N9/002Electrical control of exhaust gas treating apparatus of filter regeneration, e.g. detection of clogging
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01NGAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N11/00Monitoring or diagnostic devices for exhaust-gas treatment apparatus, e.g. for catalytic activity
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01NGAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N3/00Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust
    • F01N3/02Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust
    • F01N3/021Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust by means of filters
    • F01N3/023Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust by means of filters using means for regenerating the filters, e.g. by burning trapped particles
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01NGAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N9/00Electrical control of exhaust gas treating apparatus
    • F01N9/005Electrical control of exhaust gas treating apparatus using models instead of sensors to determine operating characteristics of exhaust systems, e.g. calculating catalyst temperature instead of measuring it directly
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01NGAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N2900/00Details of electrical control or of the monitoring of the exhaust gas treating apparatus
    • F01N2900/06Parameters used for exhaust control or diagnosing
    • F01N2900/16Parameters used for exhaust control or diagnosing said parameters being related to the exhaust apparatus, e.g. particulate filter or catalyst
    • F01N2900/1606Particle filter loading or soot amount
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/40Engine management systems

Definitions

  • the present invention relates to an apparatus and method for monitoring the regeneration frequency of a particulate filter adapted for removing soot from a vehicle exhaust stream.
  • Particulate filters are designed to remove microscopic particles of soot, ash, metal, and other suspended matter from an exhaust stream of a vehicle. Over time, the particulate matter accumulates on a substrate within the filter. In order to extend the life of the particulate filter and to further optimize engine functionality, some filters are designed to be selectively regenerated using heat.
  • Temperatures within the particulate filter can be temporarily increased to between approximately 450° C. to 600° C. by directly injecting and igniting fuel, either in the engine's cylinder chambers or in the exhaust stream upstream of the filter.
  • the spike in exhaust gas temperature may be used in conjunction with a suitable catalyst, e.g., palladium or platinum, wherein the catalyst and heat act together to reduce the accumulated particulate matter to relatively inert carbon soot via a simple exothermic oxidation process.
  • a vehicle as disclosed herein includes an engine, a particulate filter that is regenerable using heat, and a host machine.
  • the host machine accesses a first soot model to determine an actual soot mass in the particulate filter, e.g., a lookup table indexed by a calculated or measured differential pressure across the filter, and a second soot model to determine a modeled soot mass in the filter.
  • the second soot model provides the modeled soot mass relative to a set of current vehicle operating points or conditions.
  • the host machine then calculates a ratio of a change in the actual soot mass to a change in the modeled soot mass.
  • the host machine compares the calculated ratio to a calibrated threshold, and automatically executes a control action when the calculated ratio exceeds the calibrated threshold.
  • the method may be embodied as an algorithm executable by the host machine.
  • the host machine can account for varying filter regeneration trigger points, i.e., sets of generated or related signals initiating a heat-based regeneration of the particulate filter.
  • the host machine can also account for the varying soot masses remaining in the particulate filter subsequent to an immediately prior filter regeneration event.
  • Suitable control actions may include setting a first diagnostic code when the calculated ratio exceeds the calibrated threshold, activating an indicator device, transmitting a message, etc.
  • a first diagnostic code when the calculated ratio exceeds the calibrated threshold
  • activating an indicator device when the calculated ratio exceeds the calibrated threshold
  • transmitting a message etc.
  • conventional monitoring methods that set an arbitrary threshold to cover a worst case scenario may be less than optimal. The present method may therefore improve the robustness of any regeneration frequency monitoring algorithm.
  • a system is also provided for use aboard the vehicle noted above.
  • the system includes a host machine and a particulate filter, which is regenerable using heat.
  • the host machine accesses a first soot model which provides an actual soot mass remaining in the particulate filter, and a second soot model which provides a modeled soot mass remaining in the filter using a set of current vehicle operating conditions.
  • the host machine also calculates a ratio of a change in the measured soot mass to a change in the modeled soot mass.
  • the host machine compares the calculated ratio to a calibrated threshold, and executes a suitable control action when the ratio exceeds the threshold.
  • a method is also provided that may be embodied as an algorithm and used aboard the vehicle noted above.
  • the method includes using a first soot model to determine an actual soot mass remaining in the particulate filter, and using a second soot model to determine a modeled soot mass remaining in the filter, with the second soot model using a set of current vehicle operating conditions.
  • the method also includes calculating a ratio of a change in the actual soot mass to a change in the modeled soot mass, comparing the ratio to a calibrated threshold, and executing a control action when the ratio exceeds the calibrated threshold.
  • FIG. 1 is a schematic illustration of a vehicle having an internal combustion engine and a regenerable particulate filter
  • FIG. 2 is a flow chart describing a method for monitoring filter regeneration frequency aboard the vehicle shown in FIG. 1 .
  • a vehicle 10 is shown schematically in FIG. 1 .
  • the vehicle 10 includes a host machine 40 having an algorithm 100 adapted to monitor a frequency of regeneration of a heat-regenerable particulate filter 34 as explained below, and to execute a control action as needed depending on the frequency of regeneration.
  • Algorithm 100 is explained in detail below with reference to FIG. 2 .
  • Vehicle 10 includes an internal combustion engine 12 , such as a diesel engine or a direct injection gasoline engine, an oxidation catalyst (OC) system 13 having the particulate filter 34 , and a transmission 14 .
  • the engine 12 combusts fuel 16 drawn from a fuel tank 18 .
  • the fuel 16 is diesel fuel
  • the oxidation catalyst system 13 is a diesel oxidation catalyst (DOC) system
  • the particulate filter 34 is a diesel particulate filter (DPF), although gasoline or other fuel types may be used depending on the design of engine 12 .
  • DOC diesel oxidation catalyst
  • DPF diesel particulate filter
  • algorithm 100 is executed by the host machine 40 in order to detect a condition in which a frequency of regeneration of the particulate filter 34 is higher than a threshold level required by design standards, doing so using first and second soot models 50 and 60 , respectively, as set forth herein.
  • host machine 40 directly monitors regeneration frequency using a calculated ratio of the difference in a measured or actual soot level to a simulated or modeled soot level from the first and second soot models 50 and 60 , respectively, with the two models determining soot levels remaining in the particulate filter 34 in different ways, and by comparing the calculated ratio to a calibrated threshold as explained below with reference to FIG. 2 .
  • Host machine 40 may be configured as a digital computer acting as a vehicle controller, and/or as a proportional-integral-derivative (PID) controller device having a microprocessor or central processing unit (CPU), read-only memory (ROM), random access memory (RAM), electrically erasable programmable read only memory (EEPROM), a high-speed clock, analog-to-digital (A/D) and/or digital-to-analog (D/A) circuitry, and any required input/output circuitry and associated devices, as well as any required signal conditioning and/or signal buffering circuitry.
  • PID proportional-integral-derivative
  • CPU microprocessor or central processing unit
  • ROM read-only memory
  • RAM random access memory
  • EEPROM electrically erasable programmable read only memory
  • A/D analog-to-digital
  • D/A digital-to-analog
  • Algorithm 100 and any required reference calibrations are stored within or readily accessed by host machine 40 to provide the functions
  • Vehicle 10 also includes a throttle 20 which selectively admits a predetermined amount of the fuel 16 and air into engine 12 as needed. Combustion of fuel 16 by the engine 12 generates an exhaust stream 22 , which passes through the exhaust system of the vehicle before it is ultimately discharged into the surrounding atmosphere as shown. Energy released by the combustion of fuel 16 ultimately produces torque on an input member 24 of transmission 14 .
  • the transmission 14 in turn transfers torque from the engine 12 to an output member 26 in order to propel the vehicle 10 via a set of wheels 28 , only one of which is shown in FIG. 1 for simplicity.
  • OC system 13 as shown in FIG. 1 cleans and conditions the exhaust stream 22 as it passes from exhaust ports 17 of engine 12 through the vehicle's exhaust system.
  • OC system 13 may include an oxidation catalyst 30 , a selective catalytic reduction (SCR) device 32 , and the particulate filter 34 noted above.
  • SCR device 32 may be positioned between the oxidation catalyst 30 and the particulate filter 34 .
  • an SCR device converts nitrogen oxide (NOx) gasses into water and nitrogen as inert byproducts using an active catalyst.
  • SCR device 32 may be configured as a ceramic brick or a ceramic honeycomb structure, a plate structure, or any other suitable design.
  • Regeneration of the particulate filter 34 may be active or passive. As understood in the art, passive regeneration requires no additional control action for regeneration. Instead, the particulate filter is installed in place of the muffler, and at idle or low power operations, particulate matter is collected on the filter. As the engine exhaust temperatures increase, the collected material is then burned or oxidized by the exhaust stream 22 . Active regeneration adds an external source of heat to complete the regeneration, along with additional control methodology.
  • the particulate filter 34 may be constructed of a suitable substrate constructed of, by way of example, ceramic, metal mesh, pelletized alumina, or any other temperature and application-suitable material(s). As the temperature of the exhaust stream 22 increases, particulate matter previously entrapped within the particulate filter 34 is burned or oxidized by the hot exhaust gas to form soot within the particulate filter.
  • Vehicle 10 may also include a fuel injection device 36 in electronic communication with the host machine 40 via control signals 15 , and in fluid communication with fuel tank 18 .
  • Fuel injection device 36 selectively injects fuel 16 into the oxidation catalyst 30 or engine cylinders (not shown) when determined by the host machine 40 . The injected fuel 16 is then ignited and burned in a controlled manner to generate the increased levels of heat necessary for regenerating the particulate filter 34 .
  • the respective first and second soot models 50 , 60 may be in the form of lookup tables and/or a series of calculations suitable for determining in different respective manners the remaining mass of soot in the particulate filter 34 .
  • the first soot model 50 provides a measured or actual soot mass value using the measured or calculated differential pressure across the particulate filter 34 , with the first soot model indexing a differential pressure across the particulate filter to the actual soot mass.
  • the second soot model 60 provides the modeled soot mass in a different manner, i.e., doing so using a set of current vehicle operating conditions and not using the differential pressure across the particulate filter 34 .
  • Second soot model 60 uses feedback signals 44 describing the operating point of engine 12 and other suitable vehicle operating data points. Such points may include oxygen levels, throttle position, engine speed, accelerator pedal position, fueling quantity, requested engine torque, exhaust temperatures, elapsed time since the start of the last regeneration event, the particular driving mode such as highway driving, city driving, and/or other recognized modes or combinations of modes as determined by monitoring parameters such as engine speed, engine loading, braking, etc.
  • Host machine 40 also receives signals 11 from various sensors 42 positioned throughout the vehicle 10 describing various measured values, e.g., exhaust temperatures, pressure, oxygen levels, etc., at different locations within the OC system 13 , including directly upstream and downstream of the oxidation catalyst 30 and directly upstream and downstream of the particulate filter 34 . These signals 11 are each transmitted by or relayed to the host machine 40 . Host machine 40 is also in communication with the engine 12 to receive the feedback signals 44 indentifying the operating point of the engine, values which are used in particular by the second soot model 60 as described below.
  • signals 11 are each transmitted by or relayed to the host machine 40 .
  • Host machine 40 is also in communication with the engine 12 to receive the feedback signals 44 indentifying the operating point of the engine, values which are used in particular by the second soot model 60 as described below.
  • the host machine 40 executes algorithm 100 aboard the vehicle 10 of FIG. 1 to monitor regeneration frequency of the particulate filter 34 .
  • the host machine 40 determines a measured or actual soot mass using the first soot model 50 , with the actual soot mass being based on a differential pressure across the particulate filter 34 according to one possible embodiment.
  • the host machine 40 determines a modeled soot mass in the particulate filter 34 , e.g., by referencing the second soot model 60 using vehicle operating data.
  • a ratio of a change in the actual soot mass is calculated and compared to a change in the modeled soot mass, with the ratio compared to a calibrated threshold.
  • Host machine 40 can execute a control action when the ratio exceeds the threshold.
  • Step 102 the host machine 40 first determines whether a set of initialization conditions are present, i.e., whether a regeneration event is presently commanded. Step 102 may be satisfied by detecting a discrete on/off regeneration trigger signal generated internally by the host machine if the host machine is configured to control the regeneration process, or by another vehicle controller if configured otherwise. The algorithm 100 proceeds to step 104 after detection of the regeneration trigger signal or other initialization condition.
  • the host machine 40 determines the actual soot mass in the particulate filter 34 .
  • the host machine 40 directly reads or calculates the differential pressure across the particulate filter 34 using signals 11 from the sensors 42 positioned at the inlet and outlet sides of the particulate filter, in this case configured as temperature transducers or other suitable temperature sensors, and then references the first soot model 50 using the pressure drop to determine an actual soot mass value. This value is temporarily recorded in memory, and the algorithm 100 proceeds to step 106 .
  • the host machine 40 processes the feedback signals 44 and any other required signals 11 to calculate a change in the modeled soot mass, with the modeled soot mass determined with reference to the second soot model 60 described above. This change occurs over the time interval between the present regeneration trigger signal and the initiation of the immediately prior filter regeneration event. Host machine 40 also calculates the change in actual soot mass within the particulate filter 34 over the same time interval, this time with reference to first soot model 50 , and then proceeds to step 108 after temporarily recording the two change values in memory.
  • the host machine 40 calculates a ratio of the change values calculated at step 106 , i.e., the change in modeled soot mass and the change in actual soot mass in the elapsed interval since the last regeneration event, and temporarily records the value of this ratio in memory before proceeding to step 110 .
  • the host machine 40 compares the ratio from step 108 to a calibrated threshold. If the recorded ratio exceeds the calibrated threshold, the host machine 40 proceeds to step 112 , and otherwise proceeds to step 114 .
  • step 112 host machine 40 sets a first diagnostic code indicating that the ratio exceeds the calibrated threshold.
  • a result could mean that there is more soot present within the particulate filter 34 than expected by the second soot model 60 , a result which may be caused by an air leak or an engine malfunction, and which therefore warrants further investigation.
  • Additional control actions at step 112 may include activating an indicator device 38 to alert an operator, transmitting a message within vehicle 10 , transmitting a message outside of the vehicle using a vehicle telematics unit, and/or taking any other action suitable for signaling the need to inspect, maintain, or replace the particulate filter 34 .
  • the host machine 40 sets a second diagnostic code indicating that the calculated ratio does not exceed the calibrated threshold.
  • Algorithm 100 may continue to execute in a suitable control loop to minimize variability, i.e., all regeneration events must maintain at least a minimum level of efficiency, thus making the algorithm robust for any given control system calibration, as well as a wider variety of control system calibrations.

Abstract

A vehicle includes an engine, a regenerable exhaust stream particulate filter, and a host machine. The host machine has a pair of soot models providing respective actual and modeled soot mass values for the soot contained in the particulate filter, calculates a ratio of a change in the actual and modeled soot masses, and executes a control action when the ratio exceeds a calibrated threshold. A diagnostic code and/or activation of an indicator device may be part of the control action. A system includes the particulate filter and host machine noted above. A method for use aboard the vehicle includes determining the actual and modeled soot mass values using first and second soot models, respectively, calculating a ratio of a change in the actual and modeled soot mass, comparing the ratio to a calibrated threshold, and executing a control action when the ratio exceeds the threshold.

Description

    TECHNICAL FIELD
  • The present invention relates to an apparatus and method for monitoring the regeneration frequency of a particulate filter adapted for removing soot from a vehicle exhaust stream.
  • BACKGROUND
  • Particulate filters are designed to remove microscopic particles of soot, ash, metal, and other suspended matter from an exhaust stream of a vehicle. Over time, the particulate matter accumulates on a substrate within the filter. In order to extend the life of the particulate filter and to further optimize engine functionality, some filters are designed to be selectively regenerated using heat.
  • Temperatures within the particulate filter can be temporarily increased to between approximately 450° C. to 600° C. by directly injecting and igniting fuel, either in the engine's cylinder chambers or in the exhaust stream upstream of the filter. The spike in exhaust gas temperature may be used in conjunction with a suitable catalyst, e.g., palladium or platinum, wherein the catalyst and heat act together to reduce the accumulated particulate matter to relatively inert carbon soot via a simple exothermic oxidation process.
  • SUMMARY
  • A vehicle as disclosed herein includes an engine, a particulate filter that is regenerable using heat, and a host machine. The host machine accesses a first soot model to determine an actual soot mass in the particulate filter, e.g., a lookup table indexed by a calculated or measured differential pressure across the filter, and a second soot model to determine a modeled soot mass in the filter. The second soot model provides the modeled soot mass relative to a set of current vehicle operating points or conditions. The host machine then calculates a ratio of a change in the actual soot mass to a change in the modeled soot mass. The host machine compares the calculated ratio to a calibrated threshold, and automatically executes a control action when the calculated ratio exceeds the calibrated threshold.
  • The method may be embodied as an algorithm executable by the host machine. By executing the algorithm as disclosed herein, the host machine can account for varying filter regeneration trigger points, i.e., sets of generated or related signals initiating a heat-based regeneration of the particulate filter. The host machine can also account for the varying soot masses remaining in the particulate filter subsequent to an immediately prior filter regeneration event.
  • Suitable control actions may include setting a first diagnostic code when the calculated ratio exceeds the calibrated threshold, activating an indicator device, transmitting a message, etc. As the actual and modeled soot values can vary with vehicle operating conditions, conventional monitoring methods that set an arbitrary threshold to cover a worst case scenario may be less than optimal. The present method may therefore improve the robustness of any regeneration frequency monitoring algorithm.
  • A system is also provided for use aboard the vehicle noted above. The system includes a host machine and a particulate filter, which is regenerable using heat. The host machine accesses a first soot model which provides an actual soot mass remaining in the particulate filter, and a second soot model which provides a modeled soot mass remaining in the filter using a set of current vehicle operating conditions. The host machine also calculates a ratio of a change in the measured soot mass to a change in the modeled soot mass. The host machine then compares the calculated ratio to a calibrated threshold, and executes a suitable control action when the ratio exceeds the threshold.
  • A method is also provided that may be embodied as an algorithm and used aboard the vehicle noted above. The method includes using a first soot model to determine an actual soot mass remaining in the particulate filter, and using a second soot model to determine a modeled soot mass remaining in the filter, with the second soot model using a set of current vehicle operating conditions. The method also includes calculating a ratio of a change in the actual soot mass to a change in the modeled soot mass, comparing the ratio to a calibrated threshold, and executing a control action when the ratio exceeds the calibrated threshold.
  • The above features and advantages and other features and advantages of the present invention are readily apparent from the following detailed description of the best modes for carrying out the invention when taken in connection with the accompanying drawings.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is a schematic illustration of a vehicle having an internal combustion engine and a regenerable particulate filter; and
  • FIG. 2 is a flow chart describing a method for monitoring filter regeneration frequency aboard the vehicle shown in FIG. 1.
  • DESCRIPTION
  • Referring to the drawings, wherein like reference numbers correspond to like or similar components throughout the several figures, a vehicle 10 is shown schematically in FIG. 1. The vehicle 10 includes a host machine 40 having an algorithm 100 adapted to monitor a frequency of regeneration of a heat-regenerable particulate filter 34 as explained below, and to execute a control action as needed depending on the frequency of regeneration. Algorithm 100 is explained in detail below with reference to FIG. 2.
  • Vehicle 10 includes an internal combustion engine 12, such as a diesel engine or a direct injection gasoline engine, an oxidation catalyst (OC) system 13 having the particulate filter 34, and a transmission 14. The engine 12 combusts fuel 16 drawn from a fuel tank 18. In one possible embodiment, the fuel 16 is diesel fuel, the oxidation catalyst system 13 is a diesel oxidation catalyst (DOC) system, and the particulate filter 34 is a diesel particulate filter (DPF), although gasoline or other fuel types may be used depending on the design of engine 12.
  • As noted above, algorithm 100 is executed by the host machine 40 in order to detect a condition in which a frequency of regeneration of the particulate filter 34 is higher than a threshold level required by design standards, doing so using first and second soot models 50 and 60, respectively, as set forth herein. In particular, host machine 40 directly monitors regeneration frequency using a calculated ratio of the difference in a measured or actual soot level to a simulated or modeled soot level from the first and second soot models 50 and 60, respectively, with the two models determining soot levels remaining in the particulate filter 34 in different ways, and by comparing the calculated ratio to a calibrated threshold as explained below with reference to FIG. 2.
  • Host machine 40 may be configured as a digital computer acting as a vehicle controller, and/or as a proportional-integral-derivative (PID) controller device having a microprocessor or central processing unit (CPU), read-only memory (ROM), random access memory (RAM), electrically erasable programmable read only memory (EEPROM), a high-speed clock, analog-to-digital (A/D) and/or digital-to-analog (D/A) circuitry, and any required input/output circuitry and associated devices, as well as any required signal conditioning and/or signal buffering circuitry. Algorithm 100 and any required reference calibrations are stored within or readily accessed by host machine 40 to provide the functions described below with reference to FIG. 2.
  • Vehicle 10 also includes a throttle 20 which selectively admits a predetermined amount of the fuel 16 and air into engine 12 as needed. Combustion of fuel 16 by the engine 12 generates an exhaust stream 22, which passes through the exhaust system of the vehicle before it is ultimately discharged into the surrounding atmosphere as shown. Energy released by the combustion of fuel 16 ultimately produces torque on an input member 24 of transmission 14. The transmission 14 in turn transfers torque from the engine 12 to an output member 26 in order to propel the vehicle 10 via a set of wheels 28, only one of which is shown in FIG. 1 for simplicity.
  • The OC system 13 as shown in FIG. 1 cleans and conditions the exhaust stream 22 as it passes from exhaust ports 17 of engine 12 through the vehicle's exhaust system. To this end, OC system 13 may include an oxidation catalyst 30, a selective catalytic reduction (SCR) device 32, and the particulate filter 34 noted above. SCR device 32 may be positioned between the oxidation catalyst 30 and the particulate filter 34. As understood in the art, an SCR device converts nitrogen oxide (NOx) gasses into water and nitrogen as inert byproducts using an active catalyst. SCR device 32 may be configured as a ceramic brick or a ceramic honeycomb structure, a plate structure, or any other suitable design.
  • Regeneration of the particulate filter 34 may be active or passive. As understood in the art, passive regeneration requires no additional control action for regeneration. Instead, the particulate filter is installed in place of the muffler, and at idle or low power operations, particulate matter is collected on the filter. As the engine exhaust temperatures increase, the collected material is then burned or oxidized by the exhaust stream 22. Active regeneration adds an external source of heat to complete the regeneration, along with additional control methodology.
  • However configured, the particulate filter 34 may be constructed of a suitable substrate constructed of, by way of example, ceramic, metal mesh, pelletized alumina, or any other temperature and application-suitable material(s). As the temperature of the exhaust stream 22 increases, particulate matter previously entrapped within the particulate filter 34 is burned or oxidized by the hot exhaust gas to form soot within the particulate filter.
  • Vehicle 10 may also include a fuel injection device 36 in electronic communication with the host machine 40 via control signals 15, and in fluid communication with fuel tank 18. Fuel injection device 36 selectively injects fuel 16 into the oxidation catalyst 30 or engine cylinders (not shown) when determined by the host machine 40. The injected fuel 16 is then ignited and burned in a controlled manner to generate the increased levels of heat necessary for regenerating the particulate filter 34.
  • Still referring got FIG. 1, the respective first and second soot models 50, 60 may be in the form of lookup tables and/or a series of calculations suitable for determining in different respective manners the remaining mass of soot in the particulate filter 34. In one embodiment, the first soot model 50 provides a measured or actual soot mass value using the measured or calculated differential pressure across the particulate filter 34, with the first soot model indexing a differential pressure across the particulate filter to the actual soot mass.
  • The second soot model 60 provides the modeled soot mass in a different manner, i.e., doing so using a set of current vehicle operating conditions and not using the differential pressure across the particulate filter 34. Second soot model 60 uses feedback signals 44 describing the operating point of engine 12 and other suitable vehicle operating data points. Such points may include oxygen levels, throttle position, engine speed, accelerator pedal position, fueling quantity, requested engine torque, exhaust temperatures, elapsed time since the start of the last regeneration event, the particular driving mode such as highway driving, city driving, and/or other recognized modes or combinations of modes as determined by monitoring parameters such as engine speed, engine loading, braking, etc.
  • Host machine 40 also receives signals 11 from various sensors 42 positioned throughout the vehicle 10 describing various measured values, e.g., exhaust temperatures, pressure, oxygen levels, etc., at different locations within the OC system 13, including directly upstream and downstream of the oxidation catalyst 30 and directly upstream and downstream of the particulate filter 34. These signals 11 are each transmitted by or relayed to the host machine 40. Host machine 40 is also in communication with the engine 12 to receive the feedback signals 44 indentifying the operating point of the engine, values which are used in particular by the second soot model 60 as described below.
  • Referring to FIG. 2, the host machine 40 executes algorithm 100 aboard the vehicle 10 of FIG. 1 to monitor regeneration frequency of the particulate filter 34. In general, the host machine 40 determines a measured or actual soot mass using the first soot model 50, with the actual soot mass being based on a differential pressure across the particulate filter 34 according to one possible embodiment. The host machine 40 then determines a modeled soot mass in the particulate filter 34, e.g., by referencing the second soot model 60 using vehicle operating data. Next, a ratio of a change in the actual soot mass is calculated and compared to a change in the modeled soot mass, with the ratio compared to a calibrated threshold. Host machine 40 can execute a control action when the ratio exceeds the threshold.
  • In particular, beginning at step 102 the host machine 40 first determines whether a set of initialization conditions are present, i.e., whether a regeneration event is presently commanded. Step 102 may be satisfied by detecting a discrete on/off regeneration trigger signal generated internally by the host machine if the host machine is configured to control the regeneration process, or by another vehicle controller if configured otherwise. The algorithm 100 proceeds to step 104 after detection of the regeneration trigger signal or other initialization condition.
  • At step 104, the host machine 40 determines the actual soot mass in the particulate filter 34. In one possible embodiment, the host machine 40 directly reads or calculates the differential pressure across the particulate filter 34 using signals 11 from the sensors 42 positioned at the inlet and outlet sides of the particulate filter, in this case configured as temperature transducers or other suitable temperature sensors, and then references the first soot model 50 using the pressure drop to determine an actual soot mass value. This value is temporarily recorded in memory, and the algorithm 100 proceeds to step 106.
  • At step 106, the host machine 40 processes the feedback signals 44 and any other required signals 11 to calculate a change in the modeled soot mass, with the modeled soot mass determined with reference to the second soot model 60 described above. This change occurs over the time interval between the present regeneration trigger signal and the initiation of the immediately prior filter regeneration event. Host machine 40 also calculates the change in actual soot mass within the particulate filter 34 over the same time interval, this time with reference to first soot model 50, and then proceeds to step 108 after temporarily recording the two change values in memory.
  • At step 108, the host machine 40 calculates a ratio of the change values calculated at step 106, i.e., the change in modeled soot mass and the change in actual soot mass in the elapsed interval since the last regeneration event, and temporarily records the value of this ratio in memory before proceeding to step 110.
  • At step 110, the host machine 40 compares the ratio from step 108 to a calibrated threshold. If the recorded ratio exceeds the calibrated threshold, the host machine 40 proceeds to step 112, and otherwise proceeds to step 114.
  • At step 112, host machine 40 sets a first diagnostic code indicating that the ratio exceeds the calibrated threshold. Such a result could mean that there is more soot present within the particulate filter 34 than expected by the second soot model 60, a result which may be caused by an air leak or an engine malfunction, and which therefore warrants further investigation. Additional control actions at step 112 may include activating an indicator device 38 to alert an operator, transmitting a message within vehicle 10, transmitting a message outside of the vehicle using a vehicle telematics unit, and/or taking any other action suitable for signaling the need to inspect, maintain, or replace the particulate filter 34.
  • At step 114, the host machine 40 sets a second diagnostic code indicating that the calculated ratio does not exceed the calibrated threshold. Algorithm 100 may continue to execute in a suitable control loop to minimize variability, i.e., all regeneration events must maintain at least a minimum level of efficiency, thus making the algorithm robust for any given control system calibration, as well as a wider variety of control system calibrations.
  • While the best modes for carrying out the invention have been described in detail, those familiar with the art to which this invention relates will recognize various alternative designs and embodiments for practicing the invention within the scope of the appended claims.

Claims (15)

1. A vehicle comprising:
an engine;
a particulate filter which collects particulate matter from an exhaust stream of the engine, and which is selectively regenerable using heat; and
a host machine having a first soot model and a second soot model, with the first and the second soot models respectfully providing an actual soot mass and a modeled soot mass contained in the particulate filter;
wherein the host machine is operable for calculating a ratio of a change in the actual soot mass to a change in the modeled soot mass since an immediately prior regeneration event of the particulate filter, and for executing a control action when the ratio exceeds a calibrated threshold.
2. The vehicle of claim 1, wherein the first soot model indexes a differential pressure across the particulate filter to the actual soot mass, and wherein the second soot model determines the modeled soot mass with respect to a set of current vehicle operating conditions not including the differential pressure across the particulate filter.
3. The vehicle of claim 1, wherein the host machine generates a diagnostic code as at least part of the control action.
4. The vehicle of claim 3, wherein the host machine activates an indicator device as an additional part of the control action.
5. The vehicle of claim 1, wherein the engine is a diesel engine and the particulate filter is a diesel particulate filter.
6. A system for use aboard a vehicle having an internal combustion engine, the system comprising:
a particulate filter which collects particulate matter from an exhaust stream of the engine, and which is selectively regenerable using heat; and
a host machine having a first soot model and a second soot model, with the first and the second soot models respectfully providing an actual soot mass and a modeled soot mass contained in the particulate filter;
wherein the host machine is operable for calculating a ratio of a change in the actual soot mass to a change in the modeled soot mass since an immediately prior regeneration event of the particulate filter, and for executing a control action when the ratio exceeds a calibrated threshold.
7. The system of claim 6, wherein the first soot model indexes differential pressure across the particulate filter to the actual soot mass, and wherein the second soot model determines the modeled soot mass with respect to a set of vehicle operating conditions not including the differential pressure across the particulate filter.
8. The vehicle of claim 6, wherein the host machine generates a diagnostic code as at least part of the control action.
9. The vehicle of claim 8, wherein the host machine activates an indicator device as an additional part of the control action.
10. The vehicle of claim 6, wherein the engine is a diesel engine and the particulate filter is a diesel particulate filter.
11. A method for use aboard a vehicle having an internal combustion engine, a particulate filter which is regenerable using heat, and a host machine, the method comprising:
determining an actual soot mass value in the particulate filter using a first soot model;
determining a modeled soot mass value in the particulate filter using a second soot model, wherein the second soot model provides an estimated soot mass value contained in the particulate filter;
calculating a ratio of a change in the actual soot mass to a change in the modeled soot mass;
comparing the ratio to a calibrated threshold; and
executing a control action when the ratio exceeds a calibrated threshold.
12. The method of claim 11, wherein the first soot model indexes differential pressure across the particulate filter to the actual soot mass value.
13. The method of claim 12, further comprising determining a set of current vehicle operating conditions not including the differential pressure across the particulate filter, wherein the second soot model determines the modeled soot mass with respect to the set of current vehicle operating conditions.
14. The method of claim 11, further comprising:
generating a diagnostic code as at least part of the control action.
15. The method of claim 14, further comprising:
activating an indicator device as an additional part of the control action.
US12/844,991 2010-07-28 2010-07-28 Apparatus and method for monitoring regeneration frequency of a vehicle particulate filter Abandoned US20120023903A1 (en)

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9482124B2 (en) 2012-06-21 2016-11-01 Mack Trucks, Inc. Method for detecting abnormally frequent diesel particulate filter regeneration, engine and exhaust aftertreatment system, and warning system and method
US20160350986A1 (en) * 2010-12-02 2016-12-01 Zonar Systems, Inc. Method and apparatus for implementing a vehicle inspection waiver program
CN107132161A (en) * 2017-06-15 2017-09-05 浙江大学 A kind of novel portable Diesel exhaust particles extracts road detection apparatus and method
CN110273772A (en) * 2018-03-16 2019-09-24 Fev欧洲有限责任公司 To method, controller and the combustion engine of the particulate filter load of combustion engine
WO2020179854A1 (en) * 2019-03-07 2020-09-10 いすゞ自動車株式会社 Residual soot amount calculation method and residual soot amount calculation device
CN112135958A (en) * 2018-05-10 2020-12-25 沃尔沃卡车集团 Method and system for assessing engine faults
CN113669142A (en) * 2021-08-31 2021-11-19 东风商用车有限公司 Method and device for estimating mass flow of soot in original exhaust of engine
CN115059533A (en) * 2022-08-16 2022-09-16 潍柴动力股份有限公司 Method, device, equipment and medium for determining original soot emission of engine

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9080494B2 (en) 2011-06-07 2015-07-14 GM Global Technology Operations LLC Particulate filter monitoring methods and systems
JP5907123B2 (en) * 2012-07-13 2016-04-20 井関農機株式会社 Soot deposition calculation display device
US9114344B2 (en) 2012-12-12 2015-08-25 GM Global Technology Operations LLC Particulate filter regeneration management
US9702284B2 (en) * 2015-01-15 2017-07-11 Tenneco Automotive Operating Company Inc. System and method for detecting face-plugging of an exhaust aftertreatment component
FR3071274B1 (en) * 2017-09-19 2020-08-21 Psa Automobiles Sa CONTROL PROCEDURE OF A THERMAL ENGINE
DE102018209860A1 (en) * 2018-06-19 2019-12-19 Robert Bosch Gmbh Procedure for the calibration of a HWL quality sensor
CN116771479B (en) * 2023-08-25 2023-11-17 潍柴动力股份有限公司 Carbon loading correction method and device, electronic equipment and storage medium

Citations (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6032461A (en) * 1995-10-30 2000-03-07 Toyota Jidosha Kabushiki Kaisha Exhaust emission control apparatus for internal combustion engine
US6276130B1 (en) * 1999-02-02 2001-08-21 Toyota Jidosha Kabushiki Kaisha Internal combustion engine
US6405528B1 (en) * 2000-11-20 2002-06-18 Ford Global Technologies, Inc. Method for determining load on particulate filter for engine exhaust, including estimation of ash content
US6718757B2 (en) * 1999-06-23 2004-04-13 Southwest Research Institute Integrated method for controlling diesel engine emissions in CRT-LNT system
US6928809B2 (en) * 2003-01-08 2005-08-16 Nissan Motor Co., Ltd. Exhaust gas purification system and method
US6947831B2 (en) * 2003-04-11 2005-09-20 Ford Global Technologies, Llc Pressure sensor diagnosis via a computer
US7031827B2 (en) * 2003-04-11 2006-04-18 Ford Global Technologies, Llc Computer algorithm to estimate particulate filter regeneration rates
US7147688B2 (en) * 2003-03-07 2006-12-12 Nissan Motor Co., Ltd. Engine exhaust gas purification device
US7146805B2 (en) * 2003-09-17 2006-12-12 Nissan Motor Co., Ltd. Regeneration control of diesel particulate filter
US20070056271A1 (en) * 2005-09-15 2007-03-15 Berryhill Ross C Apparatus, system, and method for determining the distribution of particulate matter on a particulate filter
US7231291B2 (en) * 2005-09-15 2007-06-12 Cummins, Inc. Apparatus, system, and method for providing combined sensor and estimated feedback
US7231761B2 (en) * 2004-04-05 2007-06-19 Denso Corporation Exhaust gas purification system of internal combustion engine
US7281369B2 (en) * 2004-02-27 2007-10-16 Nissan Motor Co., Ltd. Deterioration diagnosis of diesel particulate filter
US7322182B2 (en) * 2003-12-19 2008-01-29 Nissan Motor Co., Ltd. Filter regeneration control
US7412822B2 (en) * 2005-01-27 2008-08-19 Southwest Research Institute Regeneration control for diesel particulate filter for treating diesel engine exhaust
US7484357B2 (en) * 2005-09-15 2009-02-03 Cummins, Inc Apparatus, system, and method for determining and implementing estimate reliability
US7533523B2 (en) * 2006-11-07 2009-05-19 Cummins, Inc. Optimized desulfation trigger control for an adsorber
US20090151330A1 (en) * 2007-12-18 2009-06-18 Ford Global Technologies, Llc Determination of diesel particulate filter load under both transient and steady state drive cycles
US7562524B2 (en) * 2005-09-15 2009-07-21 Cummins, Inc. Apparatus, system, and method for estimating particulate consumption
US20090188243A1 (en) * 2008-01-28 2009-07-30 Williams John D Method for controlling catalyst and filter temperatures in regeneration of a catalytic diesel particulate filter
US20090222189A1 (en) * 2008-02-28 2009-09-03 Books Martin T Apparatus, system, and method for determining a regeneration availability profile
US7587888B2 (en) * 2004-12-27 2009-09-15 Nissan Motor Co., Ltd. Engine control apparatus
US7594392B2 (en) * 2006-11-07 2009-09-29 Cummins, Inc. System for controlling adsorber regeneration
US20100212298A1 (en) * 2009-02-26 2010-08-26 Delphi Technologies, Inc. Method of regenerating an exhaust after treatment device
US20100229538A1 (en) * 2009-03-12 2010-09-16 Caterpillar Inc. Diesel particulate filter regeneration control and method
US20110047982A1 (en) * 2009-08-28 2011-03-03 Ford Global Technologies, Llc Control of diesel particulate filter regeneration duration
US20110072788A1 (en) * 2009-09-29 2011-03-31 Ford Global Technologies, Llc Gasoline particulate filter regeneration and diagnostics
US20110209460A1 (en) * 2010-02-26 2011-09-01 Suhao He Systems And Methods For Determining A Particulate Load In A Particulate Filter
US8011180B2 (en) * 2007-08-16 2011-09-06 Ford Global Technologies, Llc Particulate filter regeneration
US8151560B2 (en) * 2005-12-06 2012-04-10 Ford Global Technologies, Llc System and method for monitoring particulate filter performance
US8181449B2 (en) * 2005-07-15 2012-05-22 Isuzu Motors Limited Control method of exhaust gas purification system and exhaust gas purification system
US8209962B2 (en) * 2005-09-28 2012-07-03 Detroit Diesel Corporation Diesel particulate filter soot permeability virtual sensors

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8434299B2 (en) * 2003-02-19 2013-05-07 International Engine Intellectual Property Company, Llc. Strategy employing exhaust back-pressure for burning soot trapped by a diesel particulate filter

Patent Citations (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6032461A (en) * 1995-10-30 2000-03-07 Toyota Jidosha Kabushiki Kaisha Exhaust emission control apparatus for internal combustion engine
US6276130B1 (en) * 1999-02-02 2001-08-21 Toyota Jidosha Kabushiki Kaisha Internal combustion engine
US6718757B2 (en) * 1999-06-23 2004-04-13 Southwest Research Institute Integrated method for controlling diesel engine emissions in CRT-LNT system
US6405528B1 (en) * 2000-11-20 2002-06-18 Ford Global Technologies, Inc. Method for determining load on particulate filter for engine exhaust, including estimation of ash content
US6928809B2 (en) * 2003-01-08 2005-08-16 Nissan Motor Co., Ltd. Exhaust gas purification system and method
US7147688B2 (en) * 2003-03-07 2006-12-12 Nissan Motor Co., Ltd. Engine exhaust gas purification device
US7031827B2 (en) * 2003-04-11 2006-04-18 Ford Global Technologies, Llc Computer algorithm to estimate particulate filter regeneration rates
US6947831B2 (en) * 2003-04-11 2005-09-20 Ford Global Technologies, Llc Pressure sensor diagnosis via a computer
US7146805B2 (en) * 2003-09-17 2006-12-12 Nissan Motor Co., Ltd. Regeneration control of diesel particulate filter
US7322182B2 (en) * 2003-12-19 2008-01-29 Nissan Motor Co., Ltd. Filter regeneration control
US7281369B2 (en) * 2004-02-27 2007-10-16 Nissan Motor Co., Ltd. Deterioration diagnosis of diesel particulate filter
US7231761B2 (en) * 2004-04-05 2007-06-19 Denso Corporation Exhaust gas purification system of internal combustion engine
US7587888B2 (en) * 2004-12-27 2009-09-15 Nissan Motor Co., Ltd. Engine control apparatus
US7412822B2 (en) * 2005-01-27 2008-08-19 Southwest Research Institute Regeneration control for diesel particulate filter for treating diesel engine exhaust
US8181449B2 (en) * 2005-07-15 2012-05-22 Isuzu Motors Limited Control method of exhaust gas purification system and exhaust gas purification system
US7231291B2 (en) * 2005-09-15 2007-06-12 Cummins, Inc. Apparatus, system, and method for providing combined sensor and estimated feedback
US7484357B2 (en) * 2005-09-15 2009-02-03 Cummins, Inc Apparatus, system, and method for determining and implementing estimate reliability
US7562524B2 (en) * 2005-09-15 2009-07-21 Cummins, Inc. Apparatus, system, and method for estimating particulate consumption
US7677032B2 (en) * 2005-09-15 2010-03-16 Cummins, Inc. Apparatus, system, and method for determining the distribution of particulate matter on a particulate filter
US20070056271A1 (en) * 2005-09-15 2007-03-15 Berryhill Ross C Apparatus, system, and method for determining the distribution of particulate matter on a particulate filter
US8209962B2 (en) * 2005-09-28 2012-07-03 Detroit Diesel Corporation Diesel particulate filter soot permeability virtual sensors
US8151560B2 (en) * 2005-12-06 2012-04-10 Ford Global Technologies, Llc System and method for monitoring particulate filter performance
US7533523B2 (en) * 2006-11-07 2009-05-19 Cummins, Inc. Optimized desulfation trigger control for an adsorber
US7594392B2 (en) * 2006-11-07 2009-09-29 Cummins, Inc. System for controlling adsorber regeneration
US8011180B2 (en) * 2007-08-16 2011-09-06 Ford Global Technologies, Llc Particulate filter regeneration
US8051645B2 (en) * 2007-12-18 2011-11-08 Ford Global Technologies, Llc Determination of diesel particulate filter load under both transient and steady state drive cycles
US20090151330A1 (en) * 2007-12-18 2009-06-18 Ford Global Technologies, Llc Determination of diesel particulate filter load under both transient and steady state drive cycles
US20090188243A1 (en) * 2008-01-28 2009-07-30 Williams John D Method for controlling catalyst and filter temperatures in regeneration of a catalytic diesel particulate filter
US20090222189A1 (en) * 2008-02-28 2009-09-03 Books Martin T Apparatus, system, and method for determining a regeneration availability profile
US20100212298A1 (en) * 2009-02-26 2010-08-26 Delphi Technologies, Inc. Method of regenerating an exhaust after treatment device
US20100229538A1 (en) * 2009-03-12 2010-09-16 Caterpillar Inc. Diesel particulate filter regeneration control and method
US20110047982A1 (en) * 2009-08-28 2011-03-03 Ford Global Technologies, Llc Control of diesel particulate filter regeneration duration
US20110072788A1 (en) * 2009-09-29 2011-03-31 Ford Global Technologies, Llc Gasoline particulate filter regeneration and diagnostics
US20110209460A1 (en) * 2010-02-26 2011-09-01 Suhao He Systems And Methods For Determining A Particulate Load In A Particulate Filter

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160350986A1 (en) * 2010-12-02 2016-12-01 Zonar Systems, Inc. Method and apparatus for implementing a vehicle inspection waiver program
US10706647B2 (en) * 2010-12-02 2020-07-07 Zonar Systems, Inc. Method and apparatus for implementing a vehicle inspection waiver program
US9482124B2 (en) 2012-06-21 2016-11-01 Mack Trucks, Inc. Method for detecting abnormally frequent diesel particulate filter regeneration, engine and exhaust aftertreatment system, and warning system and method
CN107132161A (en) * 2017-06-15 2017-09-05 浙江大学 A kind of novel portable Diesel exhaust particles extracts road detection apparatus and method
CN110273772A (en) * 2018-03-16 2019-09-24 Fev欧洲有限责任公司 To method, controller and the combustion engine of the particulate filter load of combustion engine
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WO2020179854A1 (en) * 2019-03-07 2020-09-10 いすゞ自動車株式会社 Residual soot amount calculation method and residual soot amount calculation device
JP2020144040A (en) * 2019-03-07 2020-09-10 いすゞ自動車株式会社 Remaining soot amount calculation method and remaining soot amount calculation device
JP7044084B2 (en) 2019-03-07 2022-03-30 いすゞ自動車株式会社 Soot residual amount calculation method and soot residual amount calculation device
CN113669142A (en) * 2021-08-31 2021-11-19 东风商用车有限公司 Method and device for estimating mass flow of soot in original exhaust of engine
CN115059533A (en) * 2022-08-16 2022-09-16 潍柴动力股份有限公司 Method, device, equipment and medium for determining original soot emission of engine

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