EP3969873A1 - Procédé d'analyse en temps réel de processus internes du moteur - Google Patents

Procédé d'analyse en temps réel de processus internes du moteur

Info

Publication number
EP3969873A1
EP3969873A1 EP20731373.5A EP20731373A EP3969873A1 EP 3969873 A1 EP3969873 A1 EP 3969873A1 EP 20731373 A EP20731373 A EP 20731373A EP 3969873 A1 EP3969873 A1 EP 3969873A1
Authority
EP
European Patent Office
Prior art keywords
real
model
measuring
time
results
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.)
Withdrawn
Application number
EP20731373.5A
Other languages
German (de)
English (en)
Inventor
Dieter Höfler
Florian SENN
Stefan MAXL
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tectos GmbH
Original Assignee
Tectos GmbH
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 Tectos GmbH filed Critical Tectos GmbH
Publication of EP3969873A1 publication Critical patent/EP3969873A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • 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
    • G01M15/042—Testing internal-combustion engines by monitoring a single specific parameter not covered by groups G01M15/06 - G01M15/12
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/02—Gearings; Transmission mechanisms
    • G01M13/028—Acoustic or vibration analysis
    • 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
    • G01M15/12—Testing internal-combustion engines by monitoring vibrations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M7/00—Vibration-testing of structures; Shock-testing of structures
    • G01M7/02—Vibration-testing by means of a shake table
    • G01M7/022—Vibration control arrangements, e.g. for generating random vibrations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M7/00—Vibration-testing of structures; Shock-testing of structures
    • G01M7/02—Vibration-testing by means of a shake table
    • G01M7/025—Measuring arrangements
    • 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
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00—Simulators for teaching or training purposes
    • G09B9/02—Simulators for teaching or training purposes for teaching control of vehicles or other craft
    • G09B9/04—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
    • G09B9/042—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles providing simulation in a real vehicle

Definitions

  • the invention relates to a method for real-time analysis of internal engine processes in a drive train.
  • the invention also relates to an analysis device for carrying out the method.
  • the object of the invention is to analyze internal engine processes in a drive train as precisely and quickly as possible.
  • this is achieved in that the following steps are carried out: a) Providing a measuring device with at least one measuring transducer - preferably with at least two measuring transducers - for measuring at least one characteristic variable of the drive train behavior, b) Providing and / or creating a real-time Model for simulating the drive train in relation to at least one defined characteristic variable, c) determining and / or providing at least one operating or control parameter of the drive machine, preferably speed, load and / or temperature, d) measuring at least one characteristic variable of the drive train behavior in at least one operating point with the measuring device, e) performing a model-based simulation of the drive train behavior in relation to the characteristic variable on the basis of the at least one operating parameter of the drive machine using the real-time model , the model-based simulation being carried out at the same time as the measurement of the at least one characteristic variable, f) comparing the results measured with the measuring device with the results of the real-time simulation determined at the same time, and g) performing a change in at
  • the comparison of the measured results and the results of the real-time simulation is carried out automatically by a comparison device. It is particularly advantageous if the change in the boundary conditions of the real-time simulation is carried out automatically by the adjustment device if the results differ. This saves a great deal of time when analyzing internal engine processes.
  • the real-time model is created or provided by a database.
  • step e a basic comparison of the real-time model to the real drive train is carried out in a test run of the drive train in order to achieve a rough adaptation of the real-time model to the drive train to be analyzed.
  • the core phase of the procedure follows the preparatory steps and the base comparison.
  • measured data and simulation data for the at least one characteristic variable are determined in parallel, i.e. simultaneously, both from the measurement device and from the real-time model in two separate paths - a measurement path and a simulation path.
  • the at least one characteristic variable is measured with corresponding measuring sensors of the measuring device - the measured data are fed to the measuring data acquisition device.
  • the measurement data are preferably processed by an evaluation device - for example a vibration and spectrum analyzer.
  • On the simulation path - based on the at least one operating or control parameter of the drive machine - simulation data for the at least one characteristic variable are calculated in a simulation with the real-time model of the drive train.
  • the calculated simulation data are preferably processed in the simulation in accordance with the measured values - for example, subjected to a vibration and spectral analysis.
  • the processed measurement data and simulation data - that is, the measurement results and simulation results - can be used for the following comparison.
  • a comparison device of the analysis device compares the simulation results with the measurement results. Using algorithms and / or artificial intelligence (KI), the corresponding influencing variables (model parameters) of the real-time model are adapted until the simulation results match the measurement results.
  • KI artificial intelligence
  • the real-time model is a real-time vibration model. It can be provided that the torsional vibrations of the drive shaft are measured as at least one characteristic measured variable, preferably at two axially spaced points on a drive shaft of the drive train.
  • vibration measurement technology and real-time vibration simulation enables sufficiently precise statements to be made about the process courses in the drive train.
  • the method is carried out with an analysis device which, according to the invention, has a measuring device with at least one measuring transducer, a measuring data acquisition device for acquiring the measured data of the measuring device, a real-time model for simulating the drive train and a calibration device.
  • the real-time model is preferably designed as a real-time vibration model.
  • At least one measuring sensor preferably at least two measuring sensors, can advantageously be designed as a torsional vibration sensor. Furthermore, at least one measuring sensor can also be designed as an acceleration sensor.
  • a variant embodiment of the invention also provides that the analysis device has an interface to a CAN bus, for example the vehicle or a test stand.
  • An interface to the CAN bus is advantageous to the to be able to use current requirements for the machine or the vehicle as boundary conditions for the analyzes and calculations.
  • the analysis device is designed as a portable unit. This enables mobile use of the analysis device and quick installation on the drive train to be examined.
  • the real-time model can either be provided by an internal or external database or, for example, can be created with a tool which can be integrated into the analysis device.
  • Fig. 1 shows schematically the inventive method for real-time analysis in engine processes in a drive machine M having to drive train AS, for example a motor vehicle.
  • the method is carried out with an analysis device 1 according to the invention, which has a measuring device 2 with at least one measuring transducer 2a, 2b, 2c, a measuring data acquisition device 21 for acquiring the measurement data of the measuring device 2, a real-time model 3 for simulating the drive train behavior and a calibration device 4 has.
  • the measuring transducers 2a, 2b can be designed, for example, as rotary vibration transducers for detecting rotary vibrations of the drive shaft (crankshaft) KW of the drive machine M designed as an internal combustion engine.
  • the measuring sensor 2c can, for example, be an acceleration sensor for detecting translational vibrations.
  • the analysis device 1 has at least one input interface 5 for connection to a CAN bus of a vehicle or a test stand and at least one output interface 6 for further use or processing of the data, in particular for visualization, editing, automation and storage.
  • the analysis device 1 has at least two measuring sensors 2a, 2b for measuring torsional vibrations. Ideally, a correspondingly large number of rotary vibration sensors and translational sensors are used as measuring sensors 2a, 2b, 2c.
  • a measurement path 20 and a simulation path 30 - measurement values are generated in parallel, that is to say simultaneously, both from the measurement device and from also determined from the real-time model 3 simulation data for the at least one characteristic variable.
  • the at least one characteristic variable is measured with corresponding measuring sensors 2a, 2b, 2c of the measuring device 2.
  • the measurement data are fed to the evaluation device 22 and processed.
  • the results of the measurement are broken down into spectral components with the help of appropriate evaluation algorithms in the evaluation device 22 - for example a vibration and spectral analyzer.
  • appropriate evaluation algorithms for example a vibration and spectral analyzer.
  • methods from acoustics are used, for example, in order to obtain the maximum level of information.
  • the vibration behavior of the drive train AS is simulated using the real-time model 3 of the simulation path 30, and a real-time simulation of the drive train is carried out in step 31.
  • the simulation data are processed analogously to the measurement path 20 in step 32 and, for example, a vibration and spectral analysis is carried out.
  • the results of the measurement and simulation are compared in an alignment device 4. If the results are sufficiently comparable, it can be assumed that the state variables used in real-time model 3 correspond to those of the measurement. If there are deviations, the model parameters of the real-time model 3 must be adapted in step 41 in such a way that a corresponding correlation occurs. This is the case when a deviation between the results of the measurement and the results of the simulation is less than or equal to a defined limit value. Once this state has been reached, a corresponding sufficient correspondence can be assumed. This adjustment is made completely automatically by the adjustment device 4 within fractions of a second. The model parameters are adjusted fully automatically using AI-supported algorithms.
  • This method is particularly suitable for the analysis of internal combustion engines, since the system is determined accordingly by the inertia and gas forces of the internal combustion engine. The same applies to electric drive motors M, but here additional information about the regulation is necessary.
  • the base comparison of the real-time model 3 is carried out, for example, by attempting to roll the vehicle.
  • the vehicle can be dragged from idle to maximum speed within a minute with a gear engaged and without ignition, or the drive train on the test bench.
  • the natural frequencies of the system are characterized with sufficient accuracy and thus enable the real-time model 3 to be coordinated.
  • the measured data MDI, MD2 are recorded and evaluated for the first crankshaft end KW1 and the second crankshaft end KW2, and the real-time simulations are carried out and simulation data SD1, SD2 are calculated.
  • the measurement data measured via the measurement transducers 2a, 2b and recorded via the measurement detection device 21 - for example a temporal course of torsional vibration amplitudes - are labeled MDI, MD2, and the measurement data evaluated via the evaluation unit 22 are labeled MAI, MA2.
  • the torsional oscillation amplitudes result from the real cylinder pressures pl, p2, p3, p4 in the individual cylinders ZI, Z2, Z3, Z4 of the internal combustion engine.
  • the adjustment device 4 If the measurement data MAI, MA2 or processed measurement data MAI, MA2 do not match the simulation data SD1, SD2, the adjustment device 4, the model parameters were corrected accordingly and the simulation calculation carried out again. If necessary, these steps are repeated until the results of the simulation agree with the results of the measurement.
  • a correspondingly long, high-resolution ring memory can be used to save the data in the analysis device 1.
  • the analysis results themselves can be transmitted via an output interface 6 to an external computer or tablet, for example.
  • the method according to the invention enables the quality of processes, for example combustion processes, to be quickly determined on the running system.
  • the method according to the invention and the analysis device 1 according to the invention can be used particularly advantageously in the field of development and production of drive trains, in particular in the field of quality assurance.

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Geometry (AREA)
  • Evolutionary Computation (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Business, Economics & Management (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • Automation & Control Theory (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Testing Of Engines (AREA)

Abstract

L'invention concerne un procédé d'analyse en temps réel des processus internes du moteur dans une chaîne cinématique comportant au moins une machine d'entraînement (M). Les étapes suivantes sont effectuées : a) fourniture d'un dispositif de mesure (2) avec au moins un capteur de mesure (2a, 2b, 2c) pour la mesure d'au moins une grandeur caractéristique du comportement de la chaîne cinématique, b) fourniture et/ou création d'un modèle en temps réel (3) pour la simulation de la chaîne cinématique par rapport à au moins une grandeur caractéristique définie, c) détermination et/ou fourniture d'au moins un paramètre de fonctionnement ou de commande du moteur d'entraînement (M), d) mesure d'au moins une grandeur caractéristique du comportement de la chaîne cinématique en au moins un point de fonctionnement avec le dispositif de mesure (2), e) réalisation d'une simulation modélisée du comportement de la chaîne cinématique par rapport à la grandeur caractéristique sur la base de l'au moins un paramètre de fonctionnement du moteur d'entraînement (M), la simulation modélisée étant réalisée en même temps que la mesure de l'au moins une grandeur caractéristique, f) comparaison des résultats mesurés avec un dispositif de mesure (2) avec les résultats de la simulation en temps réel (3) déterminés en même temps, et g) modification d'au moins un paramètre du modèle en temps réel (2) en cas d'écart entre les résultats de la mesure et les résultats de la simulation.
EP20731373.5A 2019-05-14 2020-05-11 Procédé d'analyse en temps réel de processus internes du moteur Withdrawn EP3969873A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ATA50431/2019A AT522555B1 (de) 2019-05-14 2019-05-14 Verfahren zur echtzeit-analyse innermotorischer prozesse
PCT/AT2020/060192 WO2020227746A1 (fr) 2019-05-14 2020-05-11 Procédé d'analyse en temps réel de processus internes du moteur

Publications (1)

Publication Number Publication Date
EP3969873A1 true EP3969873A1 (fr) 2022-03-23

Family

ID=71069617

Family Applications (1)

Application Number Title Priority Date Filing Date
EP20731373.5A Withdrawn EP3969873A1 (fr) 2019-05-14 2020-05-11 Procédé d'analyse en temps réel de processus internes du moteur

Country Status (4)

Country Link
EP (1) EP3969873A1 (fr)
CN (1) CN113825995A (fr)
AT (1) AT522555B1 (fr)
WO (1) WO2020227746A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116224796B (zh) * 2023-03-09 2025-08-22 中国航发沈阳发动机研究所 一种航空发动机地面起动转速上升率的修正方法
CN118968860A (zh) * 2024-09-02 2024-11-15 江苏伟创晶智能科技有限公司 一种用于教学的可扩展式小型化飞轮储能系统
DE102024138900A1 (de) * 2024-12-19 2026-06-25 Endress + Hauser Flowtec Ag (Meßgerät-)Elektronik für ein (Prozeß-)Meßgerät sowie damit gebildtes (Prozeß-)Meßgerät

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Publication number Priority date Publication date Assignee Title
ES2176660T3 (es) * 1996-12-03 2002-12-01 Avl List Gmbh Procedimiento y dispositivo para el analisis del comportamiento en conduccion de vehiculos a motor.
DE102007016420B4 (de) * 2007-04-05 2011-04-21 Dr. Ing. H.C. F. Porsche Aktiengesellschaft Prüfstand und Verfahren zum Überprüfen eines Antriebsstrangs
AT10812U3 (de) * 2009-06-16 2010-03-15 Avl List Gmbh Prüfstandsanordnung
DE102011015630A1 (de) * 2011-03-31 2011-11-10 Daimler Ag Verfahren zum Prüfen eines Geräts
CN103149027A (zh) * 2013-03-11 2013-06-12 河南科技大学 一种车辆传动系统试验方法及实施该方法的试验台
EP2886901B1 (fr) * 2013-12-18 2019-02-13 AVL List GmbH Procédé de contrôle de la transmission d'un véhicule
US10267185B2 (en) * 2015-07-30 2019-04-23 General Electric Company System and method for controlling coolant supply to an exhaust gas
AT518196B1 (de) * 2016-01-28 2017-11-15 Avl List Gmbh Verfahren und Prüfstand zur Durchführung eines Prüflaufs mit einem Prüfling
JP6906985B2 (ja) * 2017-03-07 2021-07-21 三菱重工業株式会社 振動診断システム、振動診断方法及びパラメータ設定方法
US10604278B2 (en) * 2017-04-18 2020-03-31 General Electric Company Methods and apparatus to monitor health information of a turbine engine

Also Published As

Publication number Publication date
AT522555B1 (de) 2020-12-15
AT522555A1 (de) 2020-11-15
CN113825995A (zh) 2021-12-21
WO2020227746A1 (fr) 2020-11-19

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