MX2020008752A - Sistema de control de aprendizaje de vehiculo, dispositivo de control de vehiculo y dispositivo de aprendizaje de vehiculo. - Google Patents

Sistema de control de aprendizaje de vehiculo, dispositivo de control de vehiculo y dispositivo de aprendizaje de vehiculo.

Info

Publication number
MX2020008752A
MX2020008752A MX2020008752A MX2020008752A MX2020008752A MX 2020008752 A MX2020008752 A MX 2020008752A MX 2020008752 A MX2020008752 A MX 2020008752A MX 2020008752 A MX2020008752 A MX 2020008752A MX 2020008752 A MX2020008752 A MX 2020008752A
Authority
MX
Mexico
Prior art keywords
vehicle
learning
data
mapping
control
Prior art date
Application number
MX2020008752A
Other languages
English (en)
Inventor
Yohsuke Hashimoto
Akihiro Katayama
Yuta Oshiro
Kazuki Sugie
Naoya Oka
Original Assignee
Toyota Motor Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Toyota Motor Co Ltd filed Critical Toyota Motor Co Ltd
Publication of MX2020008752A publication Critical patent/MX2020008752A/es

Links

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D45/00—Electrical control not provided for in groups F02D41/00 - F02D43/00
    • 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
    • F02D41/22—Safety or indicating devices for abnormal conditions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808—Diagnosing performance data
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W10/00—Conjoint control of vehicle sub-units of different type or different function
    • B60W10/04—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
    • B60W10/06—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units including control of combustion engines
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/02—Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
    • B60W50/0205—Diagnosing or detecting failures; Failure detection models
    • 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
    • F02D41/1497—With detection of the mechanical response of the engine
    • 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
    • F02D41/24—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means
    • F02D41/2406—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means using essentially read only memories
    • F02D41/2425—Particular ways of programming the data
    • F02D41/2429—Methods of calibrating or learning
    • F02D41/2441—Methods of calibrating or learning characterised by the learning conditions
    • F02D41/2445—Methods of calibrating or learning characterised by the learning conditions characterised by a plurality of learning conditions or ranges
    • 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
    • F02D41/24—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means
    • F02D41/2406—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means using essentially read only memories
    • F02D41/2425—Particular ways of programming the data
    • F02D41/2429—Methods of calibrating or learning
    • F02D41/2451—Methods of calibrating or learning characterised by what is learned or calibrated
    • 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
    • F02D41/24—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means
    • F02D41/2406—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means using essentially read only memories
    • F02D41/2425—Particular ways of programming the data
    • F02D41/2429—Methods of calibrating or learning
    • F02D41/2477—Methods of calibrating or learning characterised by the method used for learning
    • 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
    • F02D41/24—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means
    • F02D41/2406—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means using essentially read only memories
    • F02D41/2425—Particular ways of programming the data
    • F02D41/2429—Methods of calibrating or learning
    • F02D41/2477—Methods of calibrating or learning characterised by the method used for learning
    • F02D41/248—Methods of calibrating or learning characterised by the method used for learning using a plurality of learned values
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M15/00—Testing of engines
    • G01M15/04—Testing internal-combustion engines
    • G01M15/11—Testing internal-combustion engines by detecting misfire
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841—Registering performance data
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0001—Details of the control system
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0001—Details of the control system
    • B60W2050/0019—Control system elements or transfer functions
    • B60W2050/0026—Lookup tables or parameter maps
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/02—Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
    • B60W50/0205—Diagnosing or detecting failures; Failure detection models
    • B60W2050/021—Means for detecting failure or malfunction
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2510/00—Input parameters relating to a particular sub-units
    • B60W2510/06—Combustion engines, Gas turbines
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Y—INDEXING SCHEME RELATING TO ASPECTS CROSS-CUTTING VEHICLE TECHNOLOGY
    • B60Y2400/00—Special features of vehicle units
    • B60Y2400/30—Sensors
    • 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
    • F02D2200/10—Parameters related to the engine output, e.g. engine torque or engine speed
    • F02D2200/1015—Engines misfires
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
    • G07C5/0825—Indicating performance data, e.g. occurrence of a malfunction using optical means

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical & Material Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Transportation (AREA)
  • Automation & Control Theory (AREA)
  • Human Computer Interaction (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)
  • Electrical Control Of Air Or Fuel Supplied To Internal-Combustion Engine (AREA)

Abstract

Un dispositivo de almacenamiento en un vehículo almacena los datos de mapeo prácticos y datos de mapeo de evaluación, y una CPU determina una presencia o ausencia de un fallo de encendido basándose en un mapeo definido por cada uno de los datos de mapeo. Cuando hay una falta de coincidencia entre dos resultados de determinación, la CPU transmite, a un centro de análisis de datos, los datos utilizados como entrada del mapeo definido por los datos de mapeo de evaluación. El centro de análisis de datos verifica una validez del resultado de la determinación utilizando los datos de mapeo de evaluación.
MX2020008752A 2019-08-22 2020-08-20 Sistema de control de aprendizaje de vehiculo, dispositivo de control de vehiculo y dispositivo de aprendizaje de vehiculo. MX2020008752A (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2019152133A JP2021032114A (ja) 2019-08-22 2019-08-22 車両用学習制御システム、車両用制御装置、および車両用学習装置

Publications (1)

Publication Number Publication Date
MX2020008752A true MX2020008752A (es) 2021-02-23

Family

ID=72178365

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2020008752A MX2020008752A (es) 2019-08-22 2020-08-20 Sistema de control de aprendizaje de vehiculo, dispositivo de control de vehiculo y dispositivo de aprendizaje de vehiculo.

Country Status (13)

Country Link
US (1) US20210056781A1 (es)
EP (1) EP3816420A3 (es)
JP (1) JP2021032114A (es)
KR (1) KR20210023702A (es)
CN (1) CN112412646A (es)
AU (1) AU2020217421B2 (es)
BR (1) BR102020016214A2 (es)
CA (1) CA3090571A1 (es)
MX (1) MX2020008752A (es)
PH (1) PH12020050282A1 (es)
RU (1) RU2743186C1 (es)
SG (1) SG10202007944QA (es)
TW (1) TW202108874A (es)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6593560B1 (ja) * 2019-02-15 2019-10-23 トヨタ自動車株式会社 内燃機関の失火検出装置、内燃機関の失火検出システム、データ解析装置、および内燃機関の制御装置
JP6744597B1 (ja) 2019-10-18 2020-08-19 トヨタ自動車株式会社 車両用制御データの生成方法、車両用制御装置、車両用制御システム、および車両用学習装置
JP6705544B1 (ja) * 2019-10-18 2020-06-03 トヨタ自動車株式会社 車両用制御装置、車両用制御システム、および車両用学習装置
JP6705545B1 (ja) * 2019-10-18 2020-06-03 トヨタ自動車株式会社 車両用制御データの生成方法、車両用制御装置、車両用制御システム、および車両用学習装置
JP6809587B1 (ja) * 2019-10-18 2021-01-06 トヨタ自動車株式会社 車両用制御装置
KR102726697B1 (ko) * 2019-12-11 2024-11-06 현대자동차주식회사 빅데이터 기반 운행 정보 제공 시스템 및 방법
JP7243642B2 (ja) 2020-01-09 2023-03-22 トヨタ自動車株式会社 車両用制御データの生成方法、車両用制御装置、車両用制御システム、および車両用学習装置
JP7331704B2 (ja) 2020-01-09 2023-08-23 トヨタ自動車株式会社 車両用制御データの生成方法、車両用制御装置、および車両用制御システム
JP7287287B2 (ja) 2020-01-09 2023-06-06 トヨタ自動車株式会社 車両用制御データの生成方法、車両用制御装置、車両用制御システム、および車両用学習装置
JP7390433B1 (ja) * 2022-06-10 2023-12-01 本田技研工業株式会社 内燃機関の制御装置
WO2024111682A1 (ko) * 2022-11-21 2024-05-30 엘지전자 주식회사 인공지능 장치 및 그 제어 방법
CN116246367A (zh) * 2022-12-20 2023-06-09 联合汽车电子有限公司 一种失火检测数据处理方法、试验装置、介质及标定设备

Family Cites Families (43)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5942355A (ja) * 1982-09-02 1984-03-08 Banyu Pharmaceut Co Ltd ３−カルバモイルオキシアルキルプロピオ−ル酸誘導体およびその製造法
JP2825939B2 (ja) * 1990-06-20 1998-11-18 富士通株式会社 ニューラルネットワーク学習装置
JPH0491348A (ja) * 1990-08-01 1992-03-24 Hitachi Ltd 自動車制御装置
JP3922468B2 (ja) * 1995-02-02 2007-05-30 株式会社デンソー 内燃機関の失火検出装置
JPH10254505A (ja) * 1997-03-14 1998-09-25 Toyota Motor Corp 自動制御装置
US6993427B2 (en) * 2002-09-03 2006-01-31 Toyota Jidosha Kabushiki Kaisha Combustion state estimating apparatus for internal combustion engine
DE102004007343A1 (de) * 2004-02-14 2005-09-01 Robert Bosch Gmbh Vorrichtung zur Erkennung von Verbrennungsaussetzern einer Brennkraftmaschine
US7366589B2 (en) * 2004-05-13 2008-04-29 General Motors Corporation Method and system for remote reflash
US7415389B2 (en) * 2005-12-29 2008-08-19 Honeywell International Inc. Calibration of engine control systems
JP4270218B2 (ja) * 2006-03-31 2009-05-27 株式会社日立製作所 燃焼装置を有する制御対象物の制御装置、及びボイラを有するプラントの制御装置
US7593796B2 (en) * 2006-11-27 2009-09-22 Toyota Motor Engineering & Manufacturing North America, Inc. Torque estimator for internal combustion engine
CN101285426B (zh) * 2007-04-09 2010-10-06 山东申普汽车控制技术有限公司 组合脉谱对发动机怠速控制的方法
JP4367529B2 (ja) * 2007-05-29 2009-11-18 トヨタ自動車株式会社 内燃機関の点火時期制御装置
JP4930389B2 (ja) * 2008-01-18 2012-05-16 三菱自動車工業株式会社 空燃比制御装置及び空燃比制御方法
US7945370B2 (en) * 2008-02-07 2011-05-17 Caterpillar Inc. Configuring an engine control module
DE102009002403A1 (de) * 2008-04-17 2009-10-22 Denso Corporation, Kariya-City Ventilsteuerzeitsteuervorrichtung und Ventilsteuerzeitsteueranordnung
JP4600510B2 (ja) * 2008-04-23 2010-12-15 株式会社デンソー 制御装置およびプログラム
US8060290B2 (en) * 2008-07-17 2011-11-15 Honeywell International Inc. Configurable automotive controller
CN101363382A (zh) * 2008-10-09 2009-02-11 张和君 用于电控汽油发动机工作系统的ecu
JP2013072313A (ja) * 2011-09-27 2013-04-22 Suzuki Motor Corp 内燃機関の触媒早期暖機制御装置
EP2806146B8 (en) * 2012-01-19 2016-12-14 Honda Motor Co., Ltd. Control apparatus for internal combustion engine
JP6001503B2 (ja) * 2013-05-31 2016-10-05 株式会社日本自動車部品総合研究所 内燃機関の失火検出装置
US9371792B2 (en) * 2013-06-27 2016-06-21 Hondata, Inc. Active tuning system for engine control unit
US10030602B2 (en) * 2014-07-22 2018-07-24 The Regents Of The University Of Michigan Adaptive machine learning method to predict and control engine combustion
JP6384590B2 (ja) * 2015-03-26 2018-09-05 日本電気株式会社 学習モデル生成システム、方法およびプログラム
US20200026268A1 (en) * 2015-11-11 2020-01-23 Hitachi, Ltd. Control device and diagnosis system
JP6395116B2 (ja) * 2016-03-23 2018-09-26 マツダ株式会社 エンジンの失火判定装置
JP6414143B2 (ja) * 2016-06-16 2018-10-31 トヨタ自動車株式会社 内燃機関の制御装置
JP6268261B1 (ja) * 2016-10-26 2018-01-24 本田技研工業株式会社 内燃機関の制御装置
US10825266B2 (en) * 2017-01-10 2020-11-03 Cummins Inc. Wireless ECU configuration updating
DE112018000477B4 (de) * 2017-01-23 2023-03-02 Panasonic Intellectual Property Management Co., Ltd. Ereignisvorhersagesystem, Ereignisvorhersageverfahren, Programm und Aufzeichnungsmedium, auf dem dieses aufgezeichnet ist
JP6595555B2 (ja) * 2017-10-23 2019-10-23 ファナック株式会社 仕分けシステム
JP6733707B2 (ja) * 2017-10-30 2020-08-05 株式会社デンソー 路面状態判別装置およびそれを備えたタイヤシステム
WO2019099228A1 (en) * 2017-11-14 2019-05-23 Tula Technology, Inc. Machine learning for misfire detection in a dynamic firing level modulation controlled engine of a vehicle
JP6693938B2 (ja) * 2017-11-17 2020-05-13 ファナック株式会社 外観検査装置
CN111386563B (zh) * 2017-12-11 2022-09-06 本田技研工业株式会社 教师数据生成装置
WO2019135274A1 (ja) * 2018-01-04 2019-07-11 株式会社Ａｂｅｊａ ニューラル・ネットワークを有するデータ処理システム
JP6915553B2 (ja) * 2018-01-18 2021-08-04 トヨタ自動車株式会社 内燃機関の失火検出装置
JP6580174B2 (ja) * 2018-02-23 2019-09-25 三菱電機株式会社 内燃機関の制御装置及び制御方法
JP6547991B1 (ja) * 2019-02-20 2019-07-24 トヨタ自動車株式会社 触媒温度推定装置、触媒温度推定システム、データ解析装置、および内燃機関の制御装置
JP2021032115A (ja) * 2019-08-22 2021-03-01 トヨタ自動車株式会社 車両用学習制御システム、車両用制御装置、および車両用学習装置
JP6705540B1 (ja) * 2019-08-22 2020-06-03 トヨタ自動車株式会社 車両用学習システム、車両用制御装置、および車両用学習装置
US11459962B2 (en) * 2020-03-02 2022-10-04 Sparkcognitton, Inc. Electronic valve control

Also Published As

Publication number Publication date
KR20210023702A (ko) 2021-03-04
SG10202007944QA (en) 2021-03-30
BR102020016214A2 (pt) 2021-10-19
PH12020050282A1 (en) 2021-11-08
TW202108874A (zh) 2021-03-01
RU2743186C1 (ru) 2021-02-16
EP3816420A3 (en) 2021-06-02
AU2020217421B2 (en) 2022-01-13
EP3816420A2 (en) 2021-05-05
CN112412646A (zh) 2021-02-26
US20210056781A1 (en) 2021-02-25
CA3090571A1 (en) 2021-02-22
AU2020217421A1 (en) 2021-03-11
JP2021032114A (ja) 2021-03-01

Similar Documents

Publication Publication Date Title
MX2020008752A (es) Sistema de control de aprendizaje de vehiculo, dispositivo de control de vehiculo y dispositivo de aprendizaje de vehiculo.
WO2019199475A3 (en) Training machine learning model based on training instances with: training instance input based on autonomous vehicle sensor data, and training instance output based on additional vehicle sensor data
EP4589479A3 (en) Machine-learning based gesture recognition using multiple sensors
WO2019137566A3 (en) Methods and devices for validating transaction in blockchain system
EP4246321A3 (en) Smart assist for repeated actions
WO2021096935A3 (en) Systems and methods for determining road safety
EP4478349A3 (en) Adaptive text-to-speech outputs
BR112021006363A2 (pt) sistema robótico cirúrgico para aumentar a representação de um sítio cirúrgico e método para aumentar uma representação de um sítio cirúrgico
EP4300381A3 (en) Systems and methods for distributed training of deep learning models
EP4549279A3 (en) Rules-based navigation
EP4254169A3 (en) Using corrections, of automated assistant functions, for training of on-device machine learning models
WO2018160240A3 (en) Method and system for doppler detection and doppler correction of optical chirped range detection
EP3624002A3 (en) Training data generating method for image processing, image processing method, and devices thereof
WO2020250247A3 (en) Method and system for industrial anomaly detection
PH12022553614A1 (en) Federated learning of autoencoder pairs for wireless communication
WO2020005871A8 (en) Virtual assistant guidance based on category familiarity
GB2574757A (en) Training self-driving vehicle
ATE520105T1 (de) System und verfahren zum trainieren eines lernfähigen übertragungsgerätes
GB2522579A (en) Computing device with force-triggered non-visual responses
HK1220790A1 (zh) 根据简档数据配对一个网络的用户
SG196783A1 (en) Systems and methods for analyzing learner?s roles and performance and for intelligently adapting the delivery of education
PH12020050407A1 (en) Vehicle control device, vehicle control system, and vehicle control method
EP3992431A3 (en) Systems and methods of servicing equipment
WO2014018244A3 (en) Intelligence data analysis by hypothesis evaluation
AU2018253963A1 (en) Detection system, detection device and method therefor