EP0228636B1 - Procédé pour déterminer divers états de fonctionnement d'un véhicule à moteur - Google Patents
Procédé pour déterminer divers états de fonctionnement d'un véhicule à moteur Download PDFInfo
- Publication number
- EP0228636B1 EP0228636B1 EP86117348A EP86117348A EP0228636B1 EP 0228636 B1 EP0228636 B1 EP 0228636B1 EP 86117348 A EP86117348 A EP 86117348A EP 86117348 A EP86117348 A EP 86117348A EP 0228636 B1 EP0228636 B1 EP 0228636B1
- Authority
- EP
- European Patent Office
- Prior art keywords
- pattern
- sensor
- patterns
- motor vehicle
- evaluator
- 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.)
- Expired - Lifetime
Links
- 238000000034 method Methods 0.000 title claims description 16
- 238000013459 approach Methods 0.000 claims description 8
- 238000010586 diagram Methods 0.000 description 4
- 230000001133 acceleration Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000005284 excitation Effects 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- 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
- G07C5/004—Indicating the operating range of the engine
Definitions
- the invention relates to a method according to the preamble of patent claim 1.
- the invention is based on the object of significantly improving a method of the type mentioned both with regard to the amount of information received and with regard to the implementation in measures resulting therefrom.
- the at least two-dimensional pattern that is known from the fields of speech recognition.
- the output signal of the sensor is evaluated by the analyzers with regard to all or a large part of the information contained therein. Every piece of information influences the pattern in a characteristic way.
- the comparison of the features of the current pattern with the features of the predefined patterns then readily leads to a concrete statement of the extent to which the current operating state can still be tolerated or to what extent it has already approximated a critical operating state.
- a pressure sensor can be used as an application of the invention, for example, which determines the load on a chassis spring of a motor vehicle at the point of contact.
- the further information contained therein such as the fundamental frequency, excitation frequency, amplitude and change in these frequencies and amplitudes, are converted into a corresponding form of the pattern in addition to the primary information of the pressure.
- the comparison of the current pattern with the predefined patterns is carried out using conventional image comparison methods, for example with the aid of a correlation analysis. In the latter case, the correlation coefficient is a precise statement about the agreement of the current pattern with a predetermined pattern.
- other methods for image analysis are also possible, such as those used in the context of photographic images to automatically focus the image.
- a memory-consuming map is not required in the invention, since the features of the patterns can be compressed to a great extent without significant loss of content.
- Each operating state is recognizable in an image and, due to the characteristic image shape, reveals at an early stage a tendency to reach a critical operating state. This makes it possible to trigger warning or display measures for this critical operating state in good time and to avoid this operating state with certainty.
- the content of claim 2 shows a possibility to create the given pattern based on the respective specific application and thus to get a realistic picture of the operating conditions actually occurring and their effects on the information.
- this measure offers the advantage of obtaining the samples individually and thus obtaining precise information about the actual operating state at all times.
- the measure according to claim 3 extends the practical use of the invention, since with the help of the additional acoustic information the user of the motor vehicle is given additional help in avoiding a critical operating state by taking appropriate countermeasures.
- the measure which is described in claim 4, is concerned with limiting the current operating state with the aid of the further operating variables and thus speeding up and specifying the matching of the predefined pattern. This is of considerable importance, especially for rapid changes in the operating state, since even then the relevant, predetermined pattern can be found in a short and still sufficient time.
- the output signal of a single sensor is used on the one hand directly and on the other hand is analyzed in different ways in order to obtain a two-dimensional pattern.
- This sensor is, for example, a pressure sensor P, which is arranged between a wheel spring and the vehicle body. The wheel in turn can be the right front wheel.
- the analysis of the output signals supplied by such a pressure sensor in the form of a variable alternating voltage U can be carried out using a Fast Fourier transformation, a fundamental frequency analysis and an analysis of the energy content can be carried out over a predetermined frequency band.
- a Fast Fourier transformation a fundamental frequency analysis
- an analysis of the energy content can be carried out over a predetermined frequency band.
- circuits in which these three analyzes are carried out are denoted by 2, 3 and 4 in FIG. 1 and work in parallel with an analog / digital converter 1, via which the signal U is digitized.
- the output signals of circuits 1 to 4 are fed to a pattern generator 5, which works in a known manner.
- a pattern generator 5 which works in a known manner.
- Analogous to the output signal of the pressure sensor P in FIG. 1, such analyzes are also common with speech signals.
- FIG. 2 The extraction of such a pattern within the scope of the invention is shown schematically in FIG. 2.
- U contains two components, one of which (GF) represents the fundamental frequency and the other a vibration behavior which is influenced by various influencing variables. These include the condition of the road surface, tire pressure, steering angle or various acceleration factors as well as axle and wheel angles. They all result in a typical image for the frequency spectrum, which is converted into a two-dimensional pattern in the pattern generator 5.
- the dimensions of this pattern are determined by the output signals of circuits 1 to 4 and show, for example, the rectangular behavior shown.
- the corner coordinates I-IV are determined by the basic frequency f g at time t 1 (point I), the basic frequency at time t 2 (point 11), the averaged excitation frequency at time t 1 (point 111) and the excitation frequency at time tz ( Point IV).
- the abscissa value of point 111 is chosen to be the same as that of point I.
- the abscissa values of points II and IV are determined, starting from the point with an arbitrarily chosen abscissa value, in such a way that the area of the square formed by points to IV corresponds to the value of the energy content which is output as the output value of circuit 4.
- a pattern is assigned to the possible driving states of a motor vehicle, which lies on one of the six or, ideally, an infinite number of curves.
- each of these curves is characterized by a relevant parameter, the other parameters being unchanged.
- the variable parameters are e.g. Centripetal force, coefficient of adhesion, acceleration, camber angle, wheel lock and chassis constants.
- the end points of the curves are connected to each other by an envelope H, which describes all critical driving conditions that occur.
- a motor vehicle runs through a number of driving states during its operation, which are shown in the form of a two-dimensional pattern formed with the pattern generator 5. These patterns are included in the patterns shown schematically in FIG. 3. The correspondence of the current pattern with one of the patterns shown in FIG. 3 can be determined with the aid of conventional image comparison techniques, as will be explained in more detail below.
- the countermeasures to be initiated can now consist in the usual way of intervening in the engine or brake control or in some other way serving to prevent the critical driving state. This also includes an indication to the user of the motor vehicle when the operating state of the motor vehicle approaches a critical state.
- Predefined two-dimensional patterns to be used can be done in different ways. It is possible to specify the patterns shown in FIG. 3 in a pattern memory 6 in FIG. 1. In contrast to this specification of the comparison pattern, which is valid for all motor vehicles of one type, it is also possible to obtain these patterns using the respective motor vehicle.
- a teach-in circuit known per se for example from the field of production technology, is used, with which it is possible to save these patterns under predetermined operating states.
- a button 10 shown schematically, which activates the pattern memory 6 and enables it to hold the pattern supplied by the pattern generator 5 together with further information.
- This information includes, for example, the type and size of the variable parameter which assigns the pattern to one of the six curves shown in FIG. 3 or describes its change in the course of this curve.
- the pattern supplied by the pattern generator 5 is compared with all the patterns contained in the pattern memory 6. As already explained, the correspondence of the pattern originating from the pattern generator 5 with one of the stored patterns is determined with the aid of conventional image comparison techniques. This comparison takes place in a pattern comparator 7.
- the given pattern can only be found in the area of two curves in the respective operating case.
- the pattern comparator 7 thus uses only the predetermined patterns available in this area for comparison to compare the current pattern. This leads to a significant reduction in processing time.
- the pattern comparator 7 additionally determines whether this operating state is an upcoming critical operating state. This is made possible, for example, by two e.g. current successive patterns supplied by the pattern generator 5 are compared at a defined time interval and the degree of approximation to the envelope H is determined. If the operating state of the motor vehicle approaches the critical operating state, the pattern of the envelope H also approximates. In this case, the pattern comparator 7 initiates warning and auxiliary measures.
- the warning measures can consist, for example, in that warning texts are generated in a language generator (not shown) and output in the usual way.
- the auxiliary measures are taken via a device 9 which, for example, carries out a brake intervention or an intervention in the engine or drive management.
- Corresponding calculation methods are used for this purpose, which allow further dimensions of the pattern to be taken into account. These dimensions can take into account further operating parameters of the motor vehicle. These are e.g. Mass, centripetal force, coefficient of adhesion, acceleration, camber angle, wheel lock and chassis constant.
- this multidimensional pattern processing amounts to the method that is shown with reference to FIGS. 1 to 3 for a two-dimensional pattern.
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Navigation (AREA)
- Vehicle Body Suspensions (AREA)
Claims (4)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE3543940 | 1985-12-12 | ||
DE3543940 | 1985-12-12 |
Publications (2)
Publication Number | Publication Date |
---|---|
EP0228636A1 EP0228636A1 (fr) | 1987-07-15 |
EP0228636B1 true EP0228636B1 (fr) | 1990-06-27 |
Family
ID=6288283
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP86117348A Expired - Lifetime EP0228636B1 (fr) | 1985-12-12 | 1986-12-12 | Procédé pour déterminer divers états de fonctionnement d'un véhicule à moteur |
Country Status (5)
Country | Link |
---|---|
US (1) | US4849894A (fr) |
EP (1) | EP0228636B1 (fr) |
DE (1) | DE3672311D1 (fr) |
ES (1) | ES2015870B3 (fr) |
WO (1) | WO1987003720A1 (fr) |
Families Citing this family (33)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5073862A (en) * | 1987-08-26 | 1991-12-17 | Carlson Peter J | Method and apparatus for diagnosing problems with the thermodynamic performance of a heat engine |
US4933882A (en) * | 1988-11-04 | 1990-06-12 | United Technologies Corporation | Regime recognition |
GB8828877D0 (en) * | 1988-12-09 | 1989-01-18 | Atomic Energy Authority Uk | Alarm system |
US5041976A (en) * | 1989-05-18 | 1991-08-20 | Ford Motor Company | Diagnostic system using pattern recognition for electronic automotive control systems |
JP3273800B2 (ja) * | 1991-11-11 | 2002-04-15 | 茂 近藤 | 自動車運転解析診断方法及び装置 |
US9102220B2 (en) * | 1992-05-05 | 2015-08-11 | American Vehicular Sciences Llc | Vehicular crash notification system |
US5390120A (en) * | 1992-12-08 | 1995-02-14 | Eaton Corporation | Method and apparatus for determining a need for vehicle braking system maintenance |
US5479350A (en) * | 1993-08-23 | 1995-12-26 | B&D Instruments And Avionics, Inc. | Exhaust gas temperature indicator for a gas turbine engine |
US5642284A (en) * | 1994-08-12 | 1997-06-24 | Caterpillar Inc. | Maintenance monitor system |
US9008854B2 (en) | 1995-06-07 | 2015-04-14 | American Vehicular Sciences Llc | Vehicle component control methods and systems |
US9443358B2 (en) * | 1995-06-07 | 2016-09-13 | Automotive Vehicular Sciences LLC | Vehicle software upgrade techniques |
US20070135982A1 (en) | 1995-06-07 | 2007-06-14 | Automotive Technologies International, Inc. | Methods for Sensing Weight of an Occupying Item in a Vehicular Seat |
US10573093B2 (en) * | 1995-06-07 | 2020-02-25 | Automotive Technologies International, Inc. | Vehicle computer design and use techniques for receiving navigation software |
US5535131A (en) * | 1995-08-22 | 1996-07-09 | Chrysler Corporation | System for analyzing sound quality in automobile using musical intervals |
US7744122B2 (en) * | 1995-12-12 | 2010-06-29 | Automotive Technologies International, Inc. | Driver side aspirated airbags |
US5744722A (en) * | 1996-09-16 | 1998-04-28 | Chrysler Corporation | Deconvolution method of resonance detection and removal from crankshaft speed measurements |
US5805457A (en) * | 1996-12-06 | 1998-09-08 | Sanders; David L. | System for analyzing sound quality in automobiles using musical intervals |
US8209120B2 (en) | 1997-10-22 | 2012-06-26 | American Vehicular Sciences Llc | Vehicular map database management techniques |
US9177476B2 (en) * | 1997-10-22 | 2015-11-03 | American Vehicular Sciences Llc | Method and system for guiding a person to a location |
US10358057B2 (en) * | 1997-10-22 | 2019-07-23 | American Vehicular Sciences Llc | In-vehicle signage techniques |
DE19803386A1 (de) * | 1998-01-29 | 1999-08-05 | Daimler Chrysler Ag | Vorrichtung zur Überwachung des Luftdrucks eines Fahrzeugreifens |
US10240935B2 (en) | 1998-10-22 | 2019-03-26 | American Vehicular Sciences Llc | Vehicle software upgrade techniques |
US6957172B2 (en) | 2000-03-09 | 2005-10-18 | Smartsignal Corporation | Complex signal decomposition and modeling |
GB0427695D0 (en) * | 2004-12-17 | 2005-01-19 | Ncr Int Inc | A method of and system for prediction of the state of health of an apparatus |
ATE509332T1 (de) * | 2005-03-14 | 2011-05-15 | Harman Becker Automotive Sys | Automatische erkennung von fahrzeugbetrieb- geräuschsignalen |
US20060229777A1 (en) * | 2005-04-12 | 2006-10-12 | Hudson Michael D | System and methods of performing real-time on-board automotive telemetry analysis and reporting |
US8275577B2 (en) | 2006-09-19 | 2012-09-25 | Smartsignal Corporation | Kernel-based method for detecting boiler tube leaks |
US8311774B2 (en) | 2006-12-15 | 2012-11-13 | Smartsignal Corporation | Robust distance measures for on-line monitoring |
US9256224B2 (en) | 2011-07-19 | 2016-02-09 | GE Intelligent Platforms, Inc | Method of sequential kernel regression modeling for forecasting and prognostics |
US9250625B2 (en) | 2011-07-19 | 2016-02-02 | Ge Intelligent Platforms, Inc. | System of sequential kernel regression modeling for forecasting and prognostics |
US8660980B2 (en) | 2011-07-19 | 2014-02-25 | Smartsignal Corporation | Monitoring system using kernel regression modeling with pattern sequences |
US8620853B2 (en) | 2011-07-19 | 2013-12-31 | Smartsignal Corporation | Monitoring method using kernel regression modeling with pattern sequences |
TW201341775A (zh) * | 2012-04-03 | 2013-10-16 | Inst Information Industry | 車輛故障診斷方法以及系統以及其電腦可讀取記錄媒體 |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS5241015B2 (fr) * | 1972-10-13 | 1977-10-15 | ||
FR2418461A1 (fr) * | 1978-02-24 | 1979-09-21 | Telediffusion Fse | Appareil de mesure d'isolement acoustique |
DE2922371A1 (de) * | 1979-06-01 | 1980-12-11 | Bosch Gmbh Robert | Meldeeinrichtung ueber funktionsfehler bei kraftmaschinen |
DE3007747A1 (de) * | 1980-02-29 | 1981-09-24 | Robert Bosch Gmbh, 7000 Stuttgart | Sensor fuer eine physikalische groesse |
DE3212561A1 (de) * | 1982-04-03 | 1983-10-13 | Robert Bosch Gmbh, 7000 Stuttgart | Anordnung zum ueberwachen eines sensors an einer brennkraftmaschine |
JPS5952306A (ja) * | 1982-09-18 | 1984-03-26 | Honda Motor Co Ltd | 電子制御装置の異常判別方法 |
US4559602A (en) * | 1983-01-27 | 1985-12-17 | Bates Jr John K | Signal processing and synthesizing method and apparatus |
US4541115A (en) * | 1983-02-08 | 1985-09-10 | Pattern Processing Technologies, Inc. | Pattern processing system |
DE3409487C2 (de) * | 1984-03-15 | 1986-05-22 | Deutsche Forschungs- und Versuchsanstalt für Luft- und Raumfahrt e.V., 5000 Köln | Verfahren zur Ermittlung des Propellerdrucksignals aus dem im Flug mit einem am Flugzeug angeordneten Mikrofon gemessenen Propeller/Zylinder-Auslaß-Mischsignal bei Propellerflugzeugen |
US4719587A (en) * | 1985-04-16 | 1988-01-12 | Combustion Engineering, Inc. | Future behavior equipment predictive system |
-
1986
- 1986-12-12 ES ES86117348T patent/ES2015870B3/es not_active Expired - Lifetime
- 1986-12-12 US US07/110,717 patent/US4849894A/en not_active Expired - Fee Related
- 1986-12-12 DE DE8686117348T patent/DE3672311D1/de not_active Expired - Lifetime
- 1986-12-12 WO PCT/EP1986/000742 patent/WO1987003720A1/fr unknown
- 1986-12-12 EP EP86117348A patent/EP0228636B1/fr not_active Expired - Lifetime
Also Published As
Publication number | Publication date |
---|---|
DE3672311D1 (de) | 1990-08-02 |
ES2015870B3 (es) | 1990-09-16 |
US4849894A (en) | 1989-07-18 |
EP0228636A1 (fr) | 1987-07-15 |
WO1987003720A1 (fr) | 1987-06-18 |
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