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 PDFInfo
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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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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N9/00—Electrical control of exhaust gas treating apparatus
- F01N9/002—Electrical control of exhaust gas treating apparatus of filter regeneration, e.g. detection of clogging
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N11/00—Monitoring or diagnostic devices for exhaust-gas treatment apparatus, e.g. for catalytic activity
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N3/00—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust
- F01N3/02—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for cooling, or for removing solid constituents of, exhaust
- F01N3/021—Exhaust 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
- F01N3/023—Exhaust 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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N9/00—Electrical control of exhaust gas treating apparatus
- F01N9/005—Electrical 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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N2900/00—Details of electrical control or of the monitoring of the exhaust gas treating apparatus
- F01N2900/06—Parameters used for exhaust control or diagnosing
- F01N2900/16—Parameters used for exhaust control or diagnosing said parameters being related to the exhaust apparatus, e.g. particulate filter or catalyst
- F01N2900/1606—Particle filter loading or soot amount
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine 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
Description
- 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. 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.
-
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 inFIG. 1 . - Referring to the drawings, wherein like reference numbers correspond to like or similar components throughout the several figures, a
vehicle 10 is shown schematically inFIG. 1 . Thevehicle 10 includes ahost machine 40 having analgorithm 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 toFIG. 2 . -
Vehicle 10 includes aninternal combustion engine 12, such as a diesel engine or a direct injection gasoline engine, an oxidation catalyst (OC)system 13 having theparticulate filter 34, and atransmission 14. Theengine 12combusts fuel 16 drawn from afuel tank 18. In one possible embodiment, thefuel 16 is diesel fuel, theoxidation catalyst system 13 is a diesel oxidation catalyst (DOC) system, and theparticulate filter 34 is a diesel particulate filter (DPF), although gasoline or other fuel types may be used depending on the design ofengine 12. - As noted above,
algorithm 100 is executed by thehost machine 40 in order to detect a condition in which a frequency of regeneration of theparticulate filter 34 is higher than a threshold level required by design standards, doing so using first andsecond soot models 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 andsecond soot models particulate filter 34 in different ways, and by comparing the calculated ratio to a calibrated threshold as explained below with reference toFIG. 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 byhost machine 40 to provide the functions described below with reference toFIG. 2 . -
Vehicle 10 also includes athrottle 20 which selectively admits a predetermined amount of thefuel 16 and air intoengine 12 as needed. Combustion offuel 16 by theengine 12 generates anexhaust 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 offuel 16 ultimately produces torque on aninput member 24 oftransmission 14. Thetransmission 14 in turn transfers torque from theengine 12 to anoutput member 26 in order to propel thevehicle 10 via a set ofwheels 28, only one of which is shown inFIG. 1 for simplicity. - The
OC system 13 as shown inFIG. 1 cleans and conditions theexhaust stream 22 as it passes fromexhaust ports 17 ofengine 12 through the vehicle's exhaust system. To this end,OC system 13 may include anoxidation catalyst 30, a selective catalytic reduction (SCR)device 32, and theparticulate filter 34 noted above.SCR device 32 may be positioned between theoxidation catalyst 30 and theparticulate 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 theexhaust 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 theexhaust stream 22 increases, particulate matter previously entrapped within theparticulate filter 34 is burned or oxidized by the hot exhaust gas to form soot within the particulate filter. -
Vehicle 10 may also include afuel injection device 36 in electronic communication with thehost machine 40 viacontrol signals 15, and in fluid communication withfuel tank 18.Fuel injection device 36 selectively injectsfuel 16 into theoxidation catalyst 30 or engine cylinders (not shown) when determined by thehost machine 40. The injectedfuel 16 is then ignited and burned in a controlled manner to generate the increased levels of heat necessary for regenerating theparticulate filter 34. - Still referring got
FIG. 1 , the respective first andsecond soot models particulate filter 34. In one embodiment, thefirst soot model 50 provides a measured or actual soot mass value using the measured or calculated differential pressure across theparticulate 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 theparticulate filter 34.Second soot model 60 uses feedback signals 44 describing the operating point ofengine 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 receivessignals 11 fromvarious sensors 42 positioned throughout thevehicle 10 describing various measured values, e.g., exhaust temperatures, pressure, oxygen levels, etc., at different locations within theOC system 13, including directly upstream and downstream of theoxidation catalyst 30 and directly upstream and downstream of theparticulate filter 34. Thesesignals 11 are each transmitted by or relayed to thehost machine 40.Host machine 40 is also in communication with theengine 12 to receive the feedback signals 44 indentifying the operating point of the engine, values which are used in particular by thesecond soot model 60 as described below. - Referring to
FIG. 2 , thehost machine 40 executesalgorithm 100 aboard thevehicle 10 ofFIG. 1 to monitor regeneration frequency of theparticulate filter 34. In general, thehost machine 40 determines a measured or actual soot mass using thefirst soot model 50, with the actual soot mass being based on a differential pressure across theparticulate filter 34 according to one possible embodiment. Thehost machine 40 then determines a modeled soot mass in theparticulate filter 34, e.g., by referencing thesecond 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 thehost 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. Thealgorithm 100 proceeds to step 104 after detection of the regeneration trigger signal or other initialization condition. - At
step 104, thehost machine 40 determines the actual soot mass in theparticulate filter 34. In one possible embodiment, thehost machine 40 directly reads or calculates the differential pressure across theparticulate filter 34 usingsignals 11 from thesensors 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 thefirst soot model 50 using the pressure drop to determine an actual soot mass value. This value is temporarily recorded in memory, and thealgorithm 100 proceeds to step 106. - At
step 106, thehost machine 40 processes the feedback signals 44 and any other requiredsignals 11 to calculate a change in the modeled soot mass, with the modeled soot mass determined with reference to thesecond 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 theparticulate filter 34 over the same time interval, this time with reference tofirst soot model 50, and then proceeds to step 108 after temporarily recording the two change values in memory. - At
step 108, thehost machine 40 calculates a ratio of the change values calculated atstep 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, thehost machine 40 compares the ratio fromstep 108 to a calibrated threshold. If the recorded ratio exceeds the calibrated threshold, thehost 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 theparticulate filter 34 than expected by thesecond 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 atstep 112 may include activating anindicator device 38 to alert an operator, transmitting a message withinvehicle 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 theparticulate filter 34. - At
step 114, thehost 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)
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
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US12/844,991 US20120023903A1 (en) | 2010-07-28 | 2010-07-28 | Apparatus and method for monitoring regeneration frequency of a vehicle particulate filter |
DE102011108238A DE102011108238A1 (en) | 2010-07-28 | 2011-07-21 | Method and device for monitoring a regeneration frequency of a vehicle particle filter |
CN2011102132143A CN102345492A (en) | 2010-07-28 | 2011-07-28 | Apparatus and method for monitoring regeneration frequency of a vehicle particulate filter |
Applications Claiming Priority (1)
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Citations (32)
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)
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 |
-
2010
- 2010-07-28 US US12/844,991 patent/US20120023903A1/en not_active Abandoned
-
2011
- 2011-07-21 DE DE102011108238A patent/DE102011108238A1/en not_active Withdrawn
- 2011-07-28 CN CN2011102132143A patent/CN102345492A/en active Pending
Patent Citations (34)
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 |
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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 |
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