JP4484879B2 - 自動車のディーゼルエンジンの排気ガスの中へ放出される汚染化合物の量の推定システムを評価する方法 - Google Patents
自動車のディーゼルエンジンの排気ガスの中へ放出される汚染化合物の量の推定システムを評価する方法 Download PDFInfo
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- JP4484879B2 JP4484879B2 JP2006540551A JP2006540551A JP4484879B2 JP 4484879 B2 JP4484879 B2 JP 4484879B2 JP 2006540551 A JP2006540551 A JP 2006540551A JP 2006540551 A JP2006540551 A JP 2006540551A JP 4484879 B2 JP4484879 B2 JP 4484879B2
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- 239000003344 environmental pollutant Substances 0.000 title claims abstract description 12
- 231100000719 pollutant Toxicity 0.000 title claims abstract description 12
- 150000001875 compounds Chemical class 0.000 title claims description 12
- 238000000034 method Methods 0.000 title claims description 9
- 239000002245 particle Substances 0.000 claims abstract description 20
- 239000007787 solid Substances 0.000 claims abstract description 10
- 230000008929 regeneration Effects 0.000 claims abstract description 6
- 238000011069 regeneration method Methods 0.000 claims abstract description 6
- 238000013528 artificial neural network Methods 0.000 claims description 25
- 230000015654 memory Effects 0.000 claims description 10
- 238000012795 verification Methods 0.000 claims description 2
- 238000011109 contamination Methods 0.000 claims 1
- 230000001186 cumulative effect Effects 0.000 abstract description 24
- 239000000446 fuel Substances 0.000 abstract description 21
- 239000004071 soot Substances 0.000 abstract description 19
- 238000002347 injection Methods 0.000 abstract description 15
- 239000007924 injection Substances 0.000 abstract description 15
- 210000002569 neuron Anatomy 0.000 abstract description 9
- 238000009825 accumulation Methods 0.000 abstract description 6
- 238000004364 calculation method Methods 0.000 abstract description 4
- 239000000203 mixture Substances 0.000 abstract description 4
- 229910002090 carbon oxide Inorganic materials 0.000 abstract description 3
- 238000011217 control strategy Methods 0.000 abstract description 3
- 229930195733 hydrocarbon Natural products 0.000 abstract description 3
- 150000002430 hydrocarbons Chemical class 0.000 abstract description 3
- 238000005259 measurement Methods 0.000 abstract description 2
- 238000006073 displacement reaction Methods 0.000 abstract 4
- 239000000498 cooling water Substances 0.000 abstract 2
- 238000013479 data entry Methods 0.000 abstract 2
- 239000007789 gas Substances 0.000 abstract 2
- 230000000717 retained effect Effects 0.000 abstract 2
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical class [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 abstract 1
- 238000005096 rolling process Methods 0.000 abstract 1
- 238000010200 validation analysis Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 8
- 238000013507 mapping Methods 0.000 description 8
- 239000002826 coolant Substances 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- MWUXSHHQAYIFBG-UHFFFAOYSA-N Nitric oxide Chemical compound O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 description 4
- 238000012549 training Methods 0.000 description 4
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 2
- 238000005094 computer simulation Methods 0.000 description 2
- 239000000356 contaminant Substances 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 208000016253 exhaustion Diseases 0.000 description 1
- 238000005562 fading Methods 0.000 description 1
- 230000001537 neural effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Images
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
-
- 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
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/02—Circuit arrangements for generating control signals
- F02D41/021—Introducing corrections for particular conditions exterior to the engine
- F02D41/0235—Introducing corrections for particular conditions exterior to the engine in relation with the state of the exhaust gas treating apparatus
- F02D41/027—Introducing corrections for particular conditions exterior to the engine in relation with the state of the exhaust gas treating apparatus to purge or regenerate the exhaust gas treating apparatus
- F02D41/029—Introducing corrections for particular conditions exterior to the engine in relation with the state of the exhaust gas treating apparatus to purge or regenerate the exhaust gas treating apparatus the exhaust gas treating apparatus being a particulate filter
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/02—Circuit arrangements for generating control signals
- F02D41/14—Introducing closed-loop corrections
- F02D41/1438—Introducing closed-loop corrections using means for determining characteristics of the combustion gases; Sensors therefor
- F02D41/1444—Introducing closed-loop corrections using means for determining characteristics of the combustion gases; Sensors therefor characterised by the characteristics of the combustion gases
- F02D41/1466—Introducing closed-loop corrections using means for determining characteristics of the combustion gases; Sensors therefor characterised by the characteristics of the combustion gases the characteristics being a soot concentration or content
- F02D41/1467—Introducing closed-loop corrections using means for determining characteristics of the combustion gases; Sensors therefor characterised by the characteristics of the combustion gases the characteristics being a soot concentration or content with determination means using an estimation
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D2200/00—Input parameters for engine control
- F02D2200/02—Input parameters for engine control the parameters being related to the engine
- F02D2200/08—Exhaust gas treatment apparatus parameters
- F02D2200/0812—Particle filter loading
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/02—Circuit arrangements for generating control signals
- F02D41/14—Introducing closed-loop corrections
- F02D41/1401—Introducing closed-loop corrections characterised by the control or regulation method
- F02D41/1405—Neural network control
-
- 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
Description
仮想センサ:車上診断とエンジン制御のための実時間ニューラルネットワークベースのインテリジェントパフォーマンス及び放出物予測システム ニューラルネットワークを用いた乗用車用のターボ過給機付きディーゼルエンジンからの放出物の予測 人工ニューラルネットワークを用いたディーゼルエンジン排気放出物の予測
1または複数のニューラルネットワークと、
エンジンの動作と、選択的に自動車の運動を表し、上記ニューラルネットワークに入力される入力データであって、上記入力データは、上記エンジンの動作を管理するための上記電子制御装置の中で、センサを追加することなく利用可能な入力データと、
推定された量を累積するための累積手段と、
を含む、自動車のディーゼルエンジンの排気ガスの中へ放出される汚染化合物の量の推定システムを評価する方法において、
可動な窓上で累積され、上記ニューラルネットワークへ出力される量における誤差を計算することによって、上記ニューラルネットワークの形態を評価することを特徴とする。
図1は、本発明によるシステムの構造を示すブロック図であり;
図2は、本発明による第1の実施に形態のブロック図であり;
図3は、本発明による第2の実施に形態のブロック図であり;
図4は、本発明による第3の実施に形態のブロック図である。
Claims (4)
- 固体粒子フィルタの再生手段と、データメモリを有する、エンジンの動作を管理するための電子制御装置とを含む、自動車のディーゼルエンジンの排気ガスの中へ放出される汚染化合物の量の推定システムであって、
1または複数のニューラルネットワーク(1)と、
エンジンの動作と、選択的に自動車の運動を表し、上記ニューラルネットワーク(1)に入力される入力データ(2)であって、上記入力データ(2)は、上記エンジンの動作を管理するための上記電子制御装置の中で、センサを追加することなく利用可能な入力データ(2)と、
推定された量(3)を累積するための累積手段(4)と、
を含む、自動車のディーゼルエンジンの排気ガスの中へ放出される汚染化合物の量の推定システムを評価する方法において、
可動な窓上で累積され、上記ニューラルネットワーク(1)へ出力される量(3)における誤差を計算することによって、上記ニューラルネットワーク(1)の形態を評価することを特徴とする、自動車のディーゼルエンジンの排気ガスの中へ放出される汚染化合物の量の推定システムを評価する方法。 - 上記可動な窓は、予め設定された値よりも低い推定誤差を許容しながら、そのサイズが最小であるように決められることを特徴とする、請求項1に記載の自動車のディーゼルエンジンの排気ガスの中へ放出される汚染化合物の量の推定システムを評価する方法。
- 自動車の運動に対応する上記可動な窓のサイズは、自動車による走行距離135kmごとに放出される固体粒子の5gより大きくない推定誤差を許容するように、0.5kmと1.5kmの間で変化することを特徴とする、請求項2に記載の自動車のディーゼルエンジンの排気ガスの中へ放出される汚染化合物の量の推定システムを評価する方法。
- 上記ニューラルネットワーク(1)の学習のために取って置かれるデータの一部は、使用されるデータとは独立の確認を実行するために取って置かれることを特徴とする、請求項1〜3のいずれか1つに記載の自動車のディーゼルエンジンの排気ガスの中へ放出される汚染化合物の量の推定システムを評価する方法。
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR0313549A FR2862342B1 (fr) | 2003-11-19 | 2003-11-19 | Procede et systeme d'estimation de quantites de particules emises dans les gaz d'echappement d'un moteur diesel d'un vehicule automobile |
PCT/FR2004/050574 WO2005052332A1 (fr) | 2003-11-19 | 2004-11-09 | Procede et systeme d'estimation de quantites de particules emises dans les gaz d'echappement d'un moteur diesel d'un vehicule automobile |
Publications (2)
Publication Number | Publication Date |
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JP2007511706A JP2007511706A (ja) | 2007-05-10 |
JP4484879B2 true JP4484879B2 (ja) | 2010-06-16 |
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JP2006540551A Expired - Fee Related JP4484879B2 (ja) | 2003-11-19 | 2004-11-09 | 自動車のディーゼルエンジンの排気ガスの中へ放出される汚染化合物の量の推定システムを評価する方法 |
Country Status (7)
Country | Link |
---|---|
US (1) | US7409247B2 (ja) |
EP (1) | EP1687515B1 (ja) |
JP (1) | JP4484879B2 (ja) |
AT (1) | ATE398230T1 (ja) |
DE (1) | DE602004014402D1 (ja) |
FR (1) | FR2862342B1 (ja) |
WO (1) | WO2005052332A1 (ja) |
Families Citing this family (15)
Publication number | Priority date | Publication date | Assignee | Title |
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JP4086029B2 (ja) * | 2004-10-05 | 2008-05-14 | いすゞ自動車株式会社 | エンジンの制御装置及び制御方法 |
FR2906839B1 (fr) * | 2006-10-05 | 2008-12-05 | Renault Sas | Systeme et procede d'estimation de la quantite de particules piegees par un filtre a particules |
US8135653B2 (en) * | 2007-11-20 | 2012-03-13 | Hitachi, Ltd. | Power plant control device which uses a model, a learning signal, a correction signal, and a manipulation signal |
DE602008001659D1 (de) * | 2008-01-29 | 2010-08-12 | Honda Motor Co Ltd | Steuersystem für einen Verbrennungsmotor |
JP5000539B2 (ja) * | 2008-01-29 | 2012-08-15 | 本田技研工業株式会社 | 内燃機関の排気浄化装置 |
EP2090767B1 (en) | 2008-02-13 | 2011-05-18 | GM Global Technology Operations, Inc. | Estimation of the soot load of a particulate filter |
ATE496208T1 (de) | 2008-06-25 | 2011-02-15 | Fiat Ricerche | Verfahren zur bestimmung der menge von in einem partikelfilter angesammelten partikel |
AT11332U3 (de) * | 2010-03-25 | 2011-04-15 | Avl List Gmbh | Verfahren zum automatischen betreiben eines messgerätes für die partikelmessung in gasen |
US8707677B2 (en) * | 2010-11-12 | 2014-04-29 | GM Global Technology Operations LLC | System and method for controlling a nitrogen oxide sensor |
EP2574762B1 (en) * | 2011-09-30 | 2015-01-07 | Volvo Car Corporation | Soot emission estimation method and arrangement |
TWI580596B (zh) * | 2012-07-05 | 2017-05-01 | 財團法人國家實驗研究院 | 車輛怠速警示系統及車輛怠速辨識方法 |
US9328644B2 (en) | 2013-09-24 | 2016-05-03 | GM Global Technology Operations LLC | Exhaust system and method of estimating diesel particulate filter soot loading for same using two-tier neural network |
DE102017218476A1 (de) * | 2017-10-16 | 2019-04-18 | Robert Bosch Gmbh | Verfahren und Vorrichtung zum Ermitteln von Emissionen |
JP6702389B2 (ja) * | 2018-10-09 | 2020-06-03 | トヨタ自動車株式会社 | 車両用駆動装置の制御装置、車載電子制御ユニット、学習済みモデル、機械学習システム、車両用駆動装置の制御方法、電子制御ユニットの製造方法及び出力パラメータ算出装置 |
CN117854636B (zh) * | 2024-03-07 | 2024-04-30 | 西南林业大学 | 一种柴油车瞬态过程颗粒物数量排放预测方法 |
Family Cites Families (8)
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US5625750A (en) * | 1994-06-29 | 1997-04-29 | Ford Motor Company | Catalyst monitor with direct prediction of hydrocarbon conversion efficiency by dynamic neural networks |
US6236908B1 (en) * | 1997-05-07 | 2001-05-22 | Ford Global Technologies, Inc. | Virtual vehicle sensors based on neural networks trained using data generated by simulation models |
DE19741973C1 (de) * | 1997-09-23 | 1999-04-22 | Daimler Chrysler Ag | Verfahren zur Bestimmung der Rußkonzentration von selbstzündenden Brennkraftmaschinen |
FR2804173B1 (fr) * | 2000-01-20 | 2002-05-03 | Peugeot Citroen Automobiles Sa | Sysyteme d'aide a la regeneration d'un filtre a particules integre dans une ligne d'echappement d'un moteur diesel de vehicule automobile |
US6829890B2 (en) * | 2002-08-13 | 2004-12-14 | International Engine Intellectual Property Company, Llc | Forced regeneration of a diesel particulate filter |
US7165399B2 (en) * | 2004-12-29 | 2007-01-23 | Honeywell International Inc. | Method and system for using a measure of fueling rate in the air side control of an engine |
US7765795B2 (en) * | 2006-04-28 | 2010-08-03 | Caterpillar Inc | NOx control using a neural network |
US7281518B1 (en) * | 2007-03-15 | 2007-10-16 | Detroit Diesel Corporation | Method and system of diesel engine setpoint compensation for transient operation of a heavy duty diesel engine |
-
2003
- 2003-11-19 FR FR0313549A patent/FR2862342B1/fr not_active Expired - Fee Related
-
2004
- 2004-11-09 US US10/580,004 patent/US7409247B2/en active Active
- 2004-11-09 WO PCT/FR2004/050574 patent/WO2005052332A1/fr active IP Right Grant
- 2004-11-09 EP EP04805817A patent/EP1687515B1/fr not_active Not-in-force
- 2004-11-09 AT AT04805817T patent/ATE398230T1/de not_active IP Right Cessation
- 2004-11-09 JP JP2006540551A patent/JP4484879B2/ja not_active Expired - Fee Related
- 2004-11-09 DE DE602004014402T patent/DE602004014402D1/de active Active
Also Published As
Publication number | Publication date |
---|---|
FR2862342B1 (fr) | 2006-02-17 |
WO2005052332A1 (fr) | 2005-06-09 |
EP1687515B1 (fr) | 2008-06-11 |
US20070174222A1 (en) | 2007-07-26 |
US7409247B2 (en) | 2008-08-05 |
EP1687515A1 (fr) | 2006-08-09 |
ATE398230T1 (de) | 2008-07-15 |
FR2862342A1 (fr) | 2005-05-20 |
DE602004014402D1 (de) | 2008-07-24 |
JP2007511706A (ja) | 2007-05-10 |
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