SE9402687D0 - Method and system for the control of internal combustion engines - Google Patents

Method and system for the control of internal combustion engines

Info

Publication number
SE9402687D0
SE9402687D0 SE9402687A SE9402687A SE9402687D0 SE 9402687 D0 SE9402687 D0 SE 9402687D0 SE 9402687 A SE9402687 A SE 9402687A SE 9402687 A SE9402687 A SE 9402687A SE 9402687 D0 SE9402687 D0 SE 9402687D0
Authority
SE
Sweden
Prior art keywords
neural net
learning
value
primary
control
Prior art date
Application number
SE9402687A
Other languages
Swedish (sv)
Other versions
SE9402687L (en
SE509805C2 (en
Inventor
Jan Nytomt
Original Assignee
Mecel Ab
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 Mecel Ab filed Critical Mecel Ab
Priority to SE9402687A priority Critical patent/SE509805C2/en
Publication of SE9402687D0 publication Critical patent/SE9402687D0/en
Priority to PCT/SE1995/000914 priority patent/WO1996005421A1/en
Publication of SE9402687L publication Critical patent/SE9402687L/en
Publication of SE509805C2 publication Critical patent/SE509805C2/en

Links

Classifications

    • 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
    • F02D41/26—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means using computer, e.g. microprocessor
    • F02D41/266—Electrical control of supply of combustible mixture or its constituents characterised by the use of digital means using computer, e.g. microprocessor the computer being backed-up or assisted by another circuit, e.g. analogue
    • 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
    • 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
    • F02D41/1473—Introducing closed-loop corrections using means for determining characteristics of the combustion gases; Sensors therefor characterised by the regulation method
    • 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
    • F02D41/2432—Methods of calibration
    • 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
    • F02P—IGNITION, OTHER THAN COMPRESSION IGNITION, FOR INTERNAL-COMBUSTION ENGINES; TESTING OF IGNITION TIMING IN COMPRESSION-IGNITION ENGINES
    • F02P5/00—Advancing or retarding ignition; Control therefor
    • F02P5/04—Advancing or retarding ignition; Control therefor automatically, as a function of the working conditions of the engine or vehicle or of the atmospheric conditions
    • F02P5/145—Advancing or retarding ignition; Control therefor automatically, as a function of the working conditions of the engine or vehicle or of the atmospheric conditions using electrical means
    • F02P5/15—Digital data processing
    • F02P5/1502—Digital data processing using one central computing unit
    • 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
    • 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
    • F02D2041/1433—Introducing closed-loop corrections characterised by the control or regulation method using a model or simulation of the system
    • 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
    • F02D41/1454—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 an oxygen content or concentration or the air-fuel ratio
    • F02D41/1456—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 an oxygen content or concentration or the air-fuel ratio with sensor output signal being linear or quasi-linear with the concentration of oxygen
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Theoretical Computer Science (AREA)
  • Signal Processing (AREA)
  • Electrical Control Of Ignition Timing (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)

Abstract

The invention relates to a method for a combustion engine using a neural net controlling the primary values, preferably ignition timing or amount of fuel but also the charge pressure, and a learning system for the neural net used. By using at least engine speed and engine load as input signals supplied to a neural net, and learning the neural net to create the necessary value for the primary value in concern dependent of the input parameters, is a smoother control of the combustion engine obtained without steep transitions between different operating cases. The control based upon a neural net exhibit considerable advantages compared to the conventional method having current amount of fuels or ignition timings of interest stored in a map containing primary values thereof. The neural net is trained by using a temporary connected learning computer (10) having an additional linear lambda sensor (5), and the current value of the primary value calculated by the learning computer is used as a target value when optimising the weight factors of the neural net, which optimisation is performed in order to reduce the deviation between the output signal from the neural net and the output signal from the learning computer. When disconnecting the learning computer, which is done when the learning process of the neural net is completed and the deviation is within acceptable limits, is a switch device (12) connecting the neural net for further control of the primary value.
SE9402687A 1994-08-11 1994-08-11 Method and system for the control of internal combustion engines SE509805C2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
SE9402687A SE509805C2 (en) 1994-08-11 1994-08-11 Method and system for the control of internal combustion engines
PCT/SE1995/000914 WO1996005421A1 (en) 1994-08-11 1995-08-08 Method and system for controlling combustion engines

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
SE9402687A SE509805C2 (en) 1994-08-11 1994-08-11 Method and system for the control of internal combustion engines

Publications (3)

Publication Number Publication Date
SE9402687D0 true SE9402687D0 (en) 1994-08-11
SE9402687L SE9402687L (en) 1996-02-12
SE509805C2 SE509805C2 (en) 1999-03-08

Family

ID=20394895

Family Applications (1)

Application Number Title Priority Date Filing Date
SE9402687A SE509805C2 (en) 1994-08-11 1994-08-11 Method and system for the control of internal combustion engines

Country Status (2)

Country Link
SE (1) SE509805C2 (en)
WO (1) WO1996005421A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111520241A (en) * 2019-02-01 2020-08-11 丰田自动车株式会社 Internal combustion engine control device and method, vehicle-mounted electronic control unit and manufacturing method, machine learning system, and output parameter calculation device

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6098012A (en) * 1995-02-13 2000-08-01 Daimlerchrysler Corporation Neural network based transient fuel control method
GB2315133A (en) * 1996-07-08 1998-01-21 Richard Nigel Bushell Control system for internal combustion engine
DE19706750A1 (en) * 1997-02-20 1998-08-27 Schroeder Dierk Prof Dr Ing Dr Method for controlling the mixture in an internal combustion engine and device for carrying it out
FR2772427B1 (en) * 1997-12-12 2000-01-28 Renault NEURON NETWORK ENGINE CONTROL SYSTEM
DE102004031006A1 (en) * 2003-07-23 2005-04-28 Daimler Chrysler Ag Combustion monitoring system for common rail direct injection diesel engine has pressure readings from sensor in common rail filtered through neural net
FR2864155B1 (en) * 2003-12-19 2006-02-17 Renault Sas METHOD AND SYSTEM FOR ESTIMATING THE EXHAUST GAS TEMPERATURE AND INTERNAL COMBUSTION ENGINE EQUIPPED WITH SUCH A SYSTEM
FR2876152B1 (en) 2004-10-06 2006-12-15 Renault Sas IMPROVED METHOD AND SYSTEM FOR ESTIMATING EXHAUST GAS TEMPERATURE AND INTERNAL COMBUSTION ENGINE EQUIPPED WITH SUCH A SYSTEM
CN103999073B (en) * 2011-12-12 2017-04-05 丰田自动车株式会社 Engine control system
FR2987403B1 (en) * 2012-02-24 2015-08-21 Peugeot Citroen Automobiles Sa ANTI-CLICED IGNITION CONTROL DEVICE OF A MOTOR VEHICLE COMBUSTION ENGINE
JP6501018B1 (en) * 2018-04-20 2019-04-17 トヨタ自動車株式会社 Machine learning device for unburned fuel
JP6702380B2 (en) * 2018-09-14 2020-06-03 トヨタ自動車株式会社 Control device for internal combustion engine
FR3136864B1 (en) * 2022-06-17 2024-08-09 Vitesco Technologies System and method for determining a quantity in a vehicle drive system

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2717665B2 (en) * 1988-05-31 1998-02-18 株式会社豊田中央研究所 Combustion prediction determination device for internal combustion engine
JPH0711256B2 (en) * 1989-09-06 1995-02-08 本田技研工業株式会社 Control device for internal combustion engine
JP2792633B2 (en) * 1990-02-09 1998-09-03 株式会社日立製作所 Control device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111520241A (en) * 2019-02-01 2020-08-11 丰田自动车株式会社 Internal combustion engine control device and method, vehicle-mounted electronic control unit and manufacturing method, machine learning system, and output parameter calculation device
CN111520241B (en) * 2019-02-01 2022-04-26 丰田自动车株式会社 Internal combustion engine control device and method, vehicle-mounted electronic control unit and manufacturing method, machine learning system, and output parameter calculation device

Also Published As

Publication number Publication date
SE9402687L (en) 1996-02-12
WO1996005421A1 (en) 1996-02-22
SE509805C2 (en) 1999-03-08

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