US20130086888A1 - Exhaust gas processing device - Google Patents
Exhaust gas processing device Download PDFInfo
- Publication number
- US20130086888A1 US20130086888A1 US13/529,936 US201213529936A US2013086888A1 US 20130086888 A1 US20130086888 A1 US 20130086888A1 US 201213529936 A US201213529936 A US 201213529936A US 2013086888 A1 US2013086888 A1 US 2013086888A1
- Authority
- US
- United States
- Prior art keywords
- sensor
- exhaust gas
- amount
- trap
- particulate filter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
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Classifications
-
- 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
-
- 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
- F01N2550/00—Monitoring or diagnosing the deterioration of exhaust systems
- F01N2550/04—Filtering activity of particulate filters
-
- 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
- F01N2560/00—Exhaust systems with means for detecting or measuring exhaust gas components or characteristics
- F01N2560/05—Exhaust systems with means for detecting or measuring exhaust gas components or characteristics the means being a particulate sensor
-
- 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
- F01N2900/0601—Parameters used for exhaust control or diagnosing being estimated
-
- 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
- Y02T10/12—Improving ICE efficiencies
-
- 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 exhaust gas treatment method that effectively detects damage of a particulate filter that filters particulate matter (PM) included in exhaust gas.
- PM particulate matter
- a diesel particulate filter (DPF) has been being applied to a diesel vehicle so as to reduce PM thereof, and a pressure difference sensor is applied to detect a PM amount that is trapped in the diesel particulate filter.
- a pressure difference sensor will not be used to detect damage of a DPF according to exhaust gas regulations, and further, the detection precision of the pressure difference sensor is low.
- Various aspects of the present invention are directed to providing an exhaust gas treatment method having advantages of accurately detecting an amount of soot that is slipped from a particulate filter and using the detected signal to accurately detect damage of the particulate filter.
- an exhaust gas treatment method having a particulate matter (PM) sensor on which a part of PM exhausted from a diesel particulate filter (DPF) is attached and that generates a signal may include determining a sensor trap PM model amount that is trapped on the PM sensor in a condition that the diesel particulate filter is operated normal according to an engine driving condition and a variation thereof, determining a sensor trap PM real amount that is attached on the PM sensor by using the signal that is generated from the PM sensor, and determining a condition of the diesel particulate filter by comparing the sensor trap PM model amount and the sensor trap PM real amount.
- the diesel particulate filter is determined to be damaged when a difference between the PM trap real amount and the PM trap model is larger than a predetermined value.
- the exhaust gas treatment method may further include determining a total PM flow rate that is generated from an engine, and determining a filter slip PM flow rate by using the total PM flow rate and a trap efficiency of the DPF to determine the sensor trap PM model amount.
- the total PM flow rate is determined by using a rotation speed of the engine, a fuel injection amount, an engine torque, and an Exhaust Gas Recirculation (EGR) rate of the engine.
- EGR Exhaust Gas Recirculation
- the trap efficiency is determined by a PM trap amount that is trapped in the diesel particulate filter, an exhaust gas flow rate of the engine, and a front temperature of the diesel particulate filter.
- the sensor trap PM model amount is determined by a filter slip PM total amount that is determined by the filter slip PM flow rate.
- the filter slip PM total amount is determined after eliminating the PM that is attached to the PM sensor.
- the PM that is attached to the PM sensor is eliminated by a heater that is disposed near the PM sensor.
- the PM sensor may include electrodes that are formed along a predetermined line, and generates the signal according to amount of the PM that is attached between the electrodes.
- FIG. 1 is a schematic diagram of an exhaust gas treatment system according to an exemplary embodiment of the present invention.
- FIG. 2 is a flowchart showing an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- FIG. 3 shows overall operational logic of an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- FIG. 4 shows operational logic that calculates a total flow rate of PM that is generated from an engine in an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- FIG. 5 shows operational logic that calculates trap efficiency of a particulate filter in an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- FIG. 6 shows operational logic for determining a malfunction of a particulate filter in an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- FIG. 7 shows operational logic for calculating a particulate filter amount trapped on an electrode in an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- FIG. 8 is a graph showing signals of a PM sensor in an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- FIG. 1 is a schematic diagram of an exhaust gas treatment system according to an exemplary embodiment of the present invention.
- an exhaust gas treatment system includes an engine 100 , an exhaust line 110 , a diesel particulate filter 130 , a PM sensor 140 , a heater 150 , a pressure difference sensor 120 , and a control portion 160 .
- the exhaust gas that is generated from the engine 100 is exhausted to the outside through the exhaust line 110 , and the diesel particulate filter 130 traps PM (particulate matter) included in the exhaust gas.
- the pressure difference sensor 120 detects a front and rear pressure difference of the diesel particulate filter 130 , and the PM trapped in the diesel particulate filter 130 is periodically eliminated by an exhaust gas temperature control flow based on the detected signal.
- the heater 150 is disposed near the PM sensor 140 and periodically burns the PM 920 (see FIG. 8 ) that is attached to the PM sensor 140 . Further, the control portion 160 performs an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- the PM sensor 140 and the pressure difference sensor 120 are used to detect a condition of the diesel particulate filter 130 in an exemplary embodiment of the present invention. Accordingly, damage of the diesel particulate filter 130 is more accurately detected.
- FIG. 2 is a flowchart showing an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- a total PM amount that is generated from the engine 100 is calculated in step S 200 .
- a filter trap PM amount that is trapped in the diesel particulate filter ( 130 , DPF) is calculated in step S 210 .
- a filter slip PM amount that is exhausted or slipped from the diesel particulate filter 130 is calculated in step S 220 .
- the filter slip PM amount that is slipped from the diesel particulate filter 130 is used to calculate a sensor trap PM model amount that is trapped on the PM sensor 140 in step S 230 .
- a real sensor signal that is generated from the PM sensor 140 is used to calculate a sensor trap PM real amount in step S 240 .
- the sensor trap PM model amount and the sensor trap PM real amount are compared in step S 250 to determine a condition of the diesel particulate filter 130 .
- FIG. 3 shows overall operational logic of an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- Unit ( 1 ) performs a program for calculating a total PM amount that is generated from the engine.
- a rotation speed of the engine, a fuel injection amount, an engine torque, an EGR rate, and so on are inputted into the unit ( 1 ), these variables are used to calculate the total PM flow rate, and the trap efficiency of the diesel particulate filter 130 that is calculated in unit ( 2 ) is used to calculate a filter slip PM amount that is slipped from the diesel particulate filter 130 . Further, after the PM sensor 140 is regenerated, a total filter slip PM amount that is exhausted from the diesel particulate filter 130 is calculated.
- Unit ( 2 ) is used for calculating trap efficiency of the diesel particulate filter 130 , wherein a PM trap amount of the diesel particulate filter 130 , an exhaust gas flow rate, a front temperature of the diesel particulate filter 130 , and so on are used to calculate the trap efficiency of the diesel particulate filter 130 .
- the filter slip PM total amount that is exhausted from the diesel particulate filter 130 and the sensor signal that is outputted from the PM sensor 140 are used to determine a condition of the diesel particulate filter 130 in unit ( 3 ).
- the filter slip PM total amount is used to calculate a sensor trap model amount that is trapped on the PM sensor 140
- the sensor signal is used to calculate a sensor trap real amount that is actually trapped on the PM sensor 140 .
- the sensor trap model amount and the sensor trap real amount are compared, and if the difference thereof exceeds a predetermined value, it is determined that the diesel particulate filter 130 is damaged.
- FIG. 4 shows operational logic that calculates a total flow rate of PM that is generated from an engine in an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- a rotation speed (A) of the engine, a fuel injection amount (B), an engine torque (C), and an EGR rate (D) are inputted to a first map (E) in a condition without EGR in which exhaust gas is not recirculated (Raw PM map W/O EGR), a second map (E) in a condition with EGR in which exhaust gas is recirculated (Raw PM map W EGR), and a change rate (G) of EGR (exhaust gas recirculation) are used to determine a total PM flow rate (H) (Raw PM generation mass flow rate (mg/s)).
- FIG. 5 shows operational logic that calculates trap efficiency of a particulate filter in an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- a trap amount (I) of the diesel particulate filter 130 , an exhaust gas flow rate (J) of the engine 100 , and a front temperature (K) of the diesel particulate filter 130 are inputted, an exhaust gas flow rate variation amount (M) and time (O) are used to calculate flow compensation value (N), and a trap amount compensation value (L), a flow amount compensation value (N), and a temperature curve are used to calculate trap efficiency (P). Further, the trap efficiency (P) is used to calculate a slip ratio (Q).
- FIG. 6 shows operational logic for determining a malfunction of a particulate filter in an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- a real sensor output signal value (R) as a sensor signal of the PM sensor 140 and a PM trap amount (S) that is trapped on the PM sensor after the PM sensor 140 is regenerated are input.
- a PM trap real amount is calculated from the R value
- a PM trap model amount is calculated from the S value
- a difference value between the PM trap real amount and the PM trap model amount is used to determine damage of the diesel particulate filter 130 .
- the difference value is compared with a predetermined value (T). If the difference value is larger than a predetermined value (T), 1 is outputted, and if the difference value is less than that, 0 is outputted.
- FIG. 7 shows operational logic for calculating a particulate filter amount trapped on an electrode in an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- a filter slip PM total amount (V) that is exhausted from the diesel particulate filter 130 , an PM flow amount (W) that is exhausted from the diesel particulate filter 130 , and a time (O) are used to calculate a sensor trap model amount (S) that is trapped on the PM sensor 140 .
- FIG. 8 is a graph showing signals of a PM sensor in an exhaust gas treatment method according to an exemplary embodiment of the present invention.
- a horizontal axis denotes a time and a vertical axis denotes a sensor signal that is generated from the PM sensor 140 .
- PM 920 is attached to an electrode 910 of the PM sensor 140 , and as time passes, the attached amount of the PM 920 is increased.
- intensity or frequency of the sensor signal that is generated from the PM sensor 140 is increased, and if the value of the sensor signal reaches a predetermined threshold value, the PM sensor 140 is periodically regenerated by the heater 150 .
- the PM sensor 140 includes a plurality of electrodes 910 , and if the PM is attached between the electrodes 910 , electricity flows between the electrodes 910 such that the size of the sensor signal that is generated from the PM sensor 140 is increased or decreased.
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Processes For Solid Components From Exhaust (AREA)
- Exhaust Gas After Treatment (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020110102014A KR20130037553A (ko) | 2011-10-06 | 2011-10-06 | 배기가스 처리방법 |
KR10-2011-0102014 | 2011-10-06 |
Publications (1)
Publication Number | Publication Date |
---|---|
US20130086888A1 true US20130086888A1 (en) | 2013-04-11 |
Family
ID=46506173
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US13/529,936 Abandoned US20130086888A1 (en) | 2011-10-06 | 2012-06-21 | Exhaust gas processing device |
Country Status (5)
Country | Link |
---|---|
US (1) | US20130086888A1 (ko) |
EP (1) | EP2578827A1 (ko) |
JP (1) | JP2013083241A (ko) |
KR (1) | KR20130037553A (ko) |
CN (1) | CN103032141A (ko) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016153410A1 (en) * | 2015-03-24 | 2016-09-29 | Scania Cv Ab | An apparatus with a particulate filter and a thereto related method |
US20180016960A1 (en) * | 2015-02-02 | 2018-01-18 | Denso Corporation | Particulate detection device |
US10060829B2 (en) | 2013-09-27 | 2018-08-28 | Isuzu Motors Limited | Diagnosis device |
US10132218B2 (en) | 2014-04-16 | 2018-11-20 | Continental Automotive Gmbh | Exhaust system for a motor vehicle |
Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102013206431A1 (de) * | 2013-04-11 | 2014-10-16 | Continental Automotive Gmbh | Verfahren zur Überwachung eines Partikelfilters auf Basis eines Partikelsensors |
JP6201578B2 (ja) * | 2013-09-27 | 2017-09-27 | いすゞ自動車株式会社 | 診断装置 |
JP6202049B2 (ja) * | 2014-07-08 | 2017-09-27 | トヨタ自動車株式会社 | 内燃機関のフィルタ故障診断装置 |
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 |
US10125658B2 (en) | 2015-08-05 | 2018-11-13 | Tenneco Automotive Operating Company Inc. | Particulate sensor assembly |
EP3390789B1 (en) * | 2015-11-18 | 2020-08-19 | Volvo Truck Corporation | Method and arrangement for correcting for error of particulate matter sensors |
CN106121795B (zh) * | 2016-07-29 | 2018-11-06 | 安徽江淮汽车集团股份有限公司 | 柴油机dpf碳累积量的检测方法 |
FR3063769A1 (fr) * | 2017-03-09 | 2018-09-14 | Peugeot Citroen Automobiles Sa | Procede de surveillance de l'etat de fonctionnement d'un filtre a particules et systeme de post-traitement de gaz d’echappement |
CN110410186B (zh) * | 2018-04-26 | 2022-12-02 | 罗伯特·博世有限公司 | 颗粒物量的检测方法及系统、存储介质和控制单元 |
CN108708793B (zh) * | 2018-05-28 | 2019-09-27 | 潍柴动力股份有限公司 | 一种发动机柴油颗粒过滤器的诊断方法和装置 |
CN112943430B (zh) * | 2021-03-30 | 2023-06-30 | 东风汽车集团股份有限公司 | 降低固体颗粒排放的控制方法、系统及存储介质 |
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US20100049462A1 (en) * | 2008-08-19 | 2010-02-25 | Honeywell International Inc. | Particulate matter sensor calibration |
US20110314796A1 (en) * | 2010-06-29 | 2011-12-29 | Denso Corporation | Particulate matter detection sensor and control device of controlling the same |
US8100107B2 (en) * | 2010-07-21 | 2012-01-24 | Ford Global Technologies, Llc | Method and system for engine control |
US20120031078A1 (en) * | 2010-08-06 | 2012-02-09 | Denso Corporation | Sensor controller |
US20120031077A1 (en) * | 2009-04-27 | 2012-02-09 | Toyota Jidosha Kabushiki Kaisha | Pm sensor, pm amount sensing device for exhaust gas, and abnormality detection apparatus for internal combustion engine |
US20120180458A1 (en) * | 2010-05-17 | 2012-07-19 | Toyota Jidosha Kabushiki Kaisha | Abnormality detection apparatus for particulate filter |
US20120216507A1 (en) * | 2011-02-28 | 2012-08-30 | Ford Global Technologies, Llc | Method for determining soot mass stored with a particulate filter |
US20130192208A1 (en) * | 2010-10-22 | 2013-08-01 | Toyota Jidosha Kabushiki Kaisha | Filter failure detection apparatus of an internal combustion engine |
US8627645B2 (en) * | 2011-05-25 | 2014-01-14 | Ford Global Technologies, Llc | Emission control with a particulate matter sensor |
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DE102006029990A1 (de) * | 2006-06-29 | 2008-01-03 | Robert Bosch Gmbh | Verfahren zur Diagnose eines Partikelfilters und Vorrichtung zur Durchführung des Verfahrens |
DE102008015256A1 (de) * | 2008-03-20 | 2009-10-01 | Continental Automotive Gmbh | Diagnoseverfahren und Diagnosesystem für einen Partikelfilter eines Verbrennungsmotors, insbesondere für einen Rußfilter in einem Dieselkraftfahrzeug |
DE102009000286B4 (de) * | 2009-01-19 | 2023-02-02 | Robert Bosch Gmbh | Überwachung eines Partikelgrenzwerts im Abgas einer Brennkraftmaschine |
-
2011
- 2011-10-06 KR KR1020110102014A patent/KR20130037553A/ko not_active Application Discontinuation
-
2012
- 2012-05-09 JP JP2012107659A patent/JP2013083241A/ja active Pending
- 2012-06-21 US US13/529,936 patent/US20130086888A1/en not_active Abandoned
- 2012-06-27 EP EP12173730.8A patent/EP2578827A1/en not_active Withdrawn
- 2012-06-29 CN CN2012102235303A patent/CN103032141A/zh active Pending
Patent Citations (10)
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US20070089399A1 (en) * | 2005-10-21 | 2007-04-26 | Honeywell International Inc. | System for particulate matter sensor signal processing |
US20100049462A1 (en) * | 2008-08-19 | 2010-02-25 | Honeywell International Inc. | Particulate matter sensor calibration |
US20120031077A1 (en) * | 2009-04-27 | 2012-02-09 | Toyota Jidosha Kabushiki Kaisha | Pm sensor, pm amount sensing device for exhaust gas, and abnormality detection apparatus for internal combustion engine |
US20120180458A1 (en) * | 2010-05-17 | 2012-07-19 | Toyota Jidosha Kabushiki Kaisha | Abnormality detection apparatus for particulate filter |
US20110314796A1 (en) * | 2010-06-29 | 2011-12-29 | Denso Corporation | Particulate matter detection sensor and control device of controlling the same |
US8100107B2 (en) * | 2010-07-21 | 2012-01-24 | Ford Global Technologies, Llc | Method and system for engine control |
US20120031078A1 (en) * | 2010-08-06 | 2012-02-09 | Denso Corporation | Sensor controller |
US20130192208A1 (en) * | 2010-10-22 | 2013-08-01 | Toyota Jidosha Kabushiki Kaisha | Filter failure detection apparatus of an internal combustion engine |
US20120216507A1 (en) * | 2011-02-28 | 2012-08-30 | Ford Global Technologies, Llc | Method for determining soot mass stored with a particulate filter |
US8627645B2 (en) * | 2011-05-25 | 2014-01-14 | Ford Global Technologies, Llc | Emission control with a particulate matter sensor |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
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US10060829B2 (en) | 2013-09-27 | 2018-08-28 | Isuzu Motors Limited | Diagnosis device |
US10132218B2 (en) | 2014-04-16 | 2018-11-20 | Continental Automotive Gmbh | Exhaust system for a motor vehicle |
US20180016960A1 (en) * | 2015-02-02 | 2018-01-18 | Denso Corporation | Particulate detection device |
US10392996B2 (en) * | 2015-02-02 | 2019-08-27 | Denso Corporation | Particulate detection device |
WO2016153410A1 (en) * | 2015-03-24 | 2016-09-29 | Scania Cv Ab | An apparatus with a particulate filter and a thereto related method |
Also Published As
Publication number | Publication date |
---|---|
JP2013083241A (ja) | 2013-05-09 |
CN103032141A (zh) | 2013-04-10 |
EP2578827A1 (en) | 2013-04-10 |
KR20130037553A (ko) | 2013-04-16 |
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Legal Events
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AS | Assignment |
Owner name: HYUNDAI MOTOR COMPANY, KOREA, REPUBLIC OF Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:LEE, JIN HA;CHO, JI HO;REEL/FRAME:028422/0658 Effective date: 20120529 Owner name: KIA MOTORS CORPORATION, KOREA, REPUBLIC OF Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:LEE, JIN HA;CHO, JI HO;REEL/FRAME:028422/0658 Effective date: 20120529 |
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