EP3911962A1 - Procédé et dispositif permettant de déterminer la compatibilité électromagnétique (cem) d'un système technique - Google Patents

Procédé et dispositif permettant de déterminer la compatibilité électromagnétique (cem) d'un système technique

Info

Publication number
EP3911962A1
EP3911962A1 EP20701008.3A EP20701008A EP3911962A1 EP 3911962 A1 EP3911962 A1 EP 3911962A1 EP 20701008 A EP20701008 A EP 20701008A EP 3911962 A1 EP3911962 A1 EP 3911962A1
Authority
EP
European Patent Office
Prior art keywords
emc
technical system
variable
influencing
influencing variable
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Withdrawn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
EP20701008.3A
Other languages
German (de)
English (en)
Inventor
Oussama SASSI
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.)
Volkswagen AG
Original Assignee
Volkswagen AG
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 Volkswagen AG filed Critical Volkswagen AG
Publication of EP3911962A1 publication Critical patent/EP3911962A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/08—Measuring electromagnetic field characteristics
    • G01R29/0864—Measuring electromagnetic field characteristics characterised by constructional or functional features
    • G01R29/0871—Complete apparatus or systems; circuits, e.g. receivers or amplifiers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/15—Vehicle, aircraft or watercraft design
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/001—Measuring interference from external sources to, or emission from, the device under test, e.g. EMC, EMI, EMP or ESD testing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/08—Probabilistic or stochastic CAD

Definitions

  • Electromagnetic compatibility relates to the ability of technical systems not to interfere with other systems through self-generated electrical or electromagnetic effects or with other devices.
  • EMC electromagnetic compatibility
  • EMC interference can also be calculated using numerical simulation. However, such simulations can only be carried out after the provision of
  • EMC problems ie a lack of electromagnetic compatibility, for example an EMC below a required minimum limit and / or above a permissible risk factor
  • a first finding of the invention lies in the fact that EMC risks have often been underestimated in early concept phases, since, as described above, meaningful EMC checks are only possible in the series development phase. If problems are identified at this late stage of development, the necessary countermeasures can lead to undesirable additional costs and time delays.
  • the invention is generally directed to any technical systems which, for example, have at least one radio system, but more particularly to vehicles and in particular to motor vehicles (for example passenger cars).
  • a basic idea of the invention is that a possibility is provided for specifying an influencing variable that influences an EMC of a technical system and in particular a vehicle, and that the EMC of the technical system is determined based on this predefined influencing variable. It is also preferably provided that the predefined influencing variable is also varied, for example by using statistical and / or stochastic methods (for example a Monte Carlo simulation). This takes into account the fact that in the early stages of development it is not possible to precisely quantify all the sizes relevant for EMC, but within the scope of the rest
  • the number of prototypes required can also be reduced during the development phase, since these have a higher probability of having the desired EMC properties from the outset using the solution according to the invention.
  • the solution according to the invention can be used to determine EMC with little
  • the invention relates to a method and an arrangement for determining EMC and in particular for calculating an EMC risk factor, this in each case depending on at least one physical disturbance variable (corresponds to the above-mentioned influencing variable with potential influence on EMC) and preferably also on a stochastic one Analysis is done. This preferably takes place in a concept design phase of the system.
  • This method is preferably carried out in a computer-implemented manner and in particular by means of a software tool or a software application, by means of which a user can, for example, specify the relevant variables and / or obtain information about determined EMC properties.
  • the invention also relates to an arrangement which can comprise or provide such a software tool or software application, in particular if the arrangement is or comprises a computer system on which the software tool or the
  • Software application is stored and / or executable.
  • the invention relates to a (preferably computer-based) method for determining the electromagnetic compatibility (EMC) of a technical system, with:
  • Result quantity of the technical system based on a (or through a) variation (for example the predetermined value) of the influencing variable.
  • the variation can e.g. within the framework of a stochastic and / or statistical calculation.
  • the EMC result variable determined based on the variation can also be referred to as a statistically and / or stochastically calculated EMC result variable.
  • One advantage is that this enables a possible range of changes in the influencing variable within the others
  • the EMC result variable can be an average value or an expected value of a plurality of EMC values (for example in the form of interference voltage values) determined, for example, for a specific frequency, the plurality of EMC values being obtained, for example, by varying the influencing variable can (for example, an EMC value for each variation step).
  • the EMC result variable can also be a maximum value or minimum value of a corresponding plurality of EMC values.
  • the EMC result variable can also be a (qualified) risk factor, which can be, for example, from a ratio of one of the above-mentioned example values to a predetermined, for example legal, guideline value (for example to a legally permitted maximum value).
  • any values determined here can be displayed to a user, for example via a display device of the arrangement. This can be done graphically and / or using numerical values.
  • At least one further EMC result variable is additionally calculated based on (for example the value) the predetermined influencing variable, ie preferably without the influencing variable being varied.
  • This can also be called an analytical calculation of the EMC result variable.
  • the analytically and statistically / stochastically determined EMC result variables can be displayed to a user, in particular at the same time, in order to increase the meaningfulness of the results.
  • the analytical calculation (and preferably also output) of the EMC result variable takes place in a step upstream of the statistical / stochastic calculation.
  • a user can draw conclusions for the statistical / stochastic calculation (for example, identify a suitable range of variation of an influencing variable or select potentially relevant influencing variables for the statistical / stochastic calculation).
  • a step-by-step procedure can be carried out, in which an analytical (preferably first) analytical and a statistical / stochastic determination of the EMC result variable takes place. Under statistical / stochastic is within this
  • Disclosure generally to understand a statistical and / or stochastic characteristic.
  • the influencing variable is assigned to a specific system component and the method is used for at least one further influencing variable which is assigned to the same system component.
  • the EMC result size can be based on the variations of both
  • the system component which can generally also relate to a system property, can be, for example, one of the following: a line bundle, a control device, an antenna or antenna structure, a RED (radio equipment directive), a radio system
  • Radio Equipment Directive Radio Equipment Directive
  • EMVU electromagnetic environmental compatibility
  • SAR specific absorption rate
  • It can also be a system component composed of the above-mentioned examples (for example a control unit with a line bundle connected to it).
  • Line bundles not all potential influencing variables (or parameters) are known in advance, but several of them can be varied. This can be, for example, a damping factor, a position, a line length, a line spacing or act like that. These also represent general examples of influencing variables, regardless of the further training described here. Further examples of
  • Influencing variables are an expected air impedance, a frequency band, an antenna factor or a position and in particular relative position (for example in the form of a distance specification, in particular to a measuring point or to another system component, which influence, for example, EMC properties can).
  • variable variables can be influencing variables in the sense of the present disclosure, which influence the EMC properties of the technical system and in particular at least one system component thereof. These are preferably variable quantities which can be varied in accordance with the procedure described here.
  • an EMC value can be determined for each variation step of both or just one influencing variable. If a plurality of variation steps are specified, what is within the scope of the present
  • the variation takes place within a predefined one
  • the variation can be carried out with a predetermined number of
  • the variation can take place in accordance with a predetermined distribution of the influencing variable values, in particular a statistical and / or stochastic distribution.
  • values of the EMC result variable can be determined for a plurality of frequencies in a predetermined frequency range.
  • the influencing variable is assigned to at least one of the following system components or at least indirectly describes at least one of the following system components:
  • EMVU electromagnetic environmental compatibility
  • the influencing variable can relate to or at least indirectly describe a route from a line installed in the technical system (for example signal and / or energy transmitted) and this route can be marked by a user in a computer system used to carry out the method.
  • the route (or, in other words, route) can be entered via a preferably graphical user interface, for example by marking the route in a displayed vehicle outline or section. If a line is mentioned in the context of this disclosure, this can generally relate to an electrical line (for example a cable) and additionally or alternatively to a signal and / or energy-transmitting line.
  • the invention further relates to a (in particular computer-based) arrangement for determining the electromagnetic compatibility (EMC) of a technical system, with:
  • an input device by means of which a user can specify at least one influencing variable of the technical system, the influencing variable having a potential influence on the EMC of the technical system;
  • the calculation device which is set up to determine an EMC result variable of the technical system based on a variation of the influencing variable.
  • the calculation device can be set up to determine the EMC result size by including a computer program product (for example a software program) (for example by storing it in a speech device of the calculation device), and can also be set up to execute this computer program product.
  • a method can be carried out in accordance with any of the above and below aspects, and in particular the variation of the influencing variable can be carried out.
  • the computing device (or the arrangement in general) can be one
  • Computer program product include and the calculation device is set up by executing the computer program product to perform an opening-based method and in particular to determine the EMC result variable of the technical system based on a variation of the influencing variable
  • the arrangement can be implemented as a computer system or computer network and / or generally comprise at least one microprocessor.
  • the input device can be used, for example, as a keyboard, mouse, touchscreen, microphone (for example for
  • the calculation device can comprise at least one microprocessor on which a software application or a software tool can be executed in accordance with any of the variants described herein.
  • the arrangement can comprise any further feature and any further development in order to provide all of the steps, effects and interactions described here.
  • the arrangement can be set up to carry out a method according to any of the above and below variants. All of the explanations given here regarding identical process features also apply to the corresponding arrangement features.
  • FIG. 1 shows a flow diagram of a method according to an embodiment of the
  • FIG. 2 shows an example of an analytical calculation of an EMC compatibility, for example of a system component such as a control unit;
  • FIG. 4 shows a further flow diagram that is specifically directed towards the measures for analytical and stochastic calculation of an EMC
  • FIG. 7 shows representations analogous to FIG. 6 but for a stochastic calculation
  • Figure 8 shows a schematic representation of an arrangement according to the invention.
  • FIG. 1 shows a flow diagram of a method according to an embodiment of the
  • the invention which is carried out on an arrangement, not shown, according to the invention.
  • the latter can generally be designed as a conventional PC (for example in the form of a smartphone, laptop, desktop PC or tablet).
  • the following descriptions focus on the EMC determination for a vehicle development.
  • the method is carried out by means of a software tool (also simply called a tool) that is executed on the arrangement (for example by processing program instructions of the software tools on a microprocessor of the arrangement).
  • the tool is started in a step S1.
  • a predefined EMC module of the tool is selected.
  • the EMC modules relate to various system components and / or system areas of a vehicle that the user can select in order to check their EMC in the concept phase.
  • step S3 the user will have different options in step S3
  • Influencing variables are displayed, the values of which he can determine for a preferred (but not mandatory) first analytical calculation.
  • An analytical calculation of an EMC influencing variable then takes place in step S4. Since the EMC in general
  • step S5 is frequency-dependent, this is preferably done for a plurality of frequency values within a predetermined frequency spectrum or range.
  • the determined EMC influencing variable is output via the frequency spectrum
  • step S6 the stochastic calculation is carried out in step S6. If this does not lead to the desired results, one can be carried out in step S7
  • the method can be ended in accordance with steps S8 (documentation, calculation report) and S9 (close tool).
  • FIG. 2 shows an example for the analytical calculation of the EMC of a vehicle control unit (relates to step S4 from FIG. 1). All of the formulas given in this disclosure are taken from the specialist literature, so that their variables also correspond to conventional definition or have conventional meaning. Nevertheless, the formulas are only examples and an EMC calculation could also be carried out based on other suitable forms.
  • Interference emission system module 104: line-line
  • module 106 total SA (total interference emission)).
  • the interference emission of a specific system or a system component is examined in the form of a control device which comprises an antenna.
  • variable d can be understood as a (relative) position variable.
  • P T power
  • d distance between antenna and control unit
  • P T power variable as a function of the antenna and the frequency range (is summarized in a table)
  • dsc / G T 1
  • E SG the user can specify any values for this purpose, E generally representing the electric field strength in the context of this disclosure
  • Zo 120p
  • AF antenna factor from table
  • V interference interference voltage.
  • Further input variables E of block 108 are also indicated, which can be the following: air resistance, position of the system, vehicle type, frequency band, “antenna radiated power” (radiated power of the antenna), antenna factor.
  • the specified air resistance can also be referred to as air impedance and represented by the variable Z (or Zo) .
  • Possible in advance about the vehicle type Position margins are determined and / or data or variable values are read from stored tables.
  • the input variable E can also include data “from component test / worst case TL”, which takes into account that data or values from component tests that have already taken place can be used or values according to a specified “worst case” (ie worst case scenario).
  • FIG. 3 shows formulas for an EMC calculation of a system from a control device with lines connected to it (both with only one (area 110) and with two lines, area 112). Cases of differential and common currents are considered, both of which can lead to the generation of an electric field.
  • the variable R relates (as a relative position specification) to a distance, for example between a line and a measuring point or antenna pole.
  • the other specified variables stand for the following: f: frequency; K: correction factor (5 cm, -22db); I com : common current; f r: differential current; L: cable length; d: distance to ground.
  • the current values can be derived from the worst case or entered manually.
  • the two last listed variables L, d can also be entered manually.
  • At least one influencing variable (parameter) is selected in accordance with block 113 and a variation range is defined for this (deviation between 1% and 30%).
  • a distribution is then also specified which defines how the values of the influencing variable to be varied are distributed within the range of variation (marked as input I). For this purpose only, one can choose between a Gaussian distribution and a uniform distribution.
  • a Gaussian distribution can be considered, for example, if it can be expected that the value of the influencing variable mainly fluctuates around an average value (for example, since a construction space is limited in such a way that a distance value cannot be varied significantly).
  • a uniform distribution can be considered, for example, if it can be expected that the value of the influencing variable will vary arbitrarily within the range of variation, for example because a distance value can be arbitrarily determined due to the lack of space constraints.
  • a Monte Carlo simulation is then carried out for the stochastic calculation as a preferred but not mandatory procedure (block 114).
  • a Random function and taking into account the specified distribution and the variation range, samples are taken mathematically, the number of iterations or the number of samples taken being selectable. Metaphorically speaking, this gives the information about which EMC properties are most likely to be expected, even if the influencing variable is still to be expected.
  • a mean value, a deviation from the expected value or a risk factor can in particular be obtained in block 116 and then displayed (see also the following figures). This can be frequency-dependent, ie each of these values can be determined for a specific frequency value in a predetermined frequency range.
  • a deviation or tolerance to be taken into account for example from 1% to 30%, the deviation corresponding to a difference from a maximum position minus a (current) position;
  • a maximum position for example, as an absolute position plus a tolerance value
  • a minimum position for example, as an absolute position minus a tolerance value
  • the position is regarded as m (expected value) and a disturbance as a function of the expected value.
  • Range m +/- sigm 28% in the range m +/- 2 * sigm; 4% in the range m +/- 3 * sigm. This procedure is particularly advantageous when, as is generally the case in concept phases, several influencing variables can still be subject to variations. As shown below, a corresponding range of variation and
  • EMC properties can then be determined under a simultaneous variation of all influencing factors, so to speak. As a result, the potential of the
  • Mouse-clickable virtual input objects or the like can be enabled:
  • EMC topics can be used to select the individual areas, assemblies and / or modules that are to be examined with regard to their EMC.
  • the following topics can be selected as examples: Coupling line / line; Leadership / Mass Concept Analysis; Fault emission through the position of the control unit; Fault transmission of an entire system; RED (radio equipment directive).
  • Line / line is selected.
  • Choices selected a vehicle type for example from the following classes: Small; Compact; Midsize; Fullsize. At least for the last three classes, the option "Variant" can also be offered.
  • a start and end frequency is defined via predefined input fields (by manually entering the corresponding values in MHz, for example 100 MHz to 500 MHz). Using a button, these values can be validated and a frequency interval (calculation interval) can be set (for example in kHz, for example 1100 kHz). After defining this interval, you can click on the "Apply frequency value” button and a number of measuring points (within the frequency interval) are determined and displayed (in this example, 363).
  • An EMC influencing variable is then determined for each of these measuring points, and a plurality of EMC values are preferably determined by means of the stochastic calculation, on the basis of which a final EMC influencing variable (for example the expected EMC value for at least one measuring point in the frequency interval) can then be determined.
  • FIG. 5 a top view of the vehicle (or its floor plan) is shown, which is subdivided into a uniform square grid or grid. A side view is also shown. Furthermore, a so-called circuit diagram shows a right-hand matrix-shaped area with grids analogous to the vehicle views. An operator can specify in which areas a line runs by clicking on the individual grids (for example in the circuit diagram, which is then shown graphically in the vehicle views). The line length can then be estimated by evaluating or assembling the overall activated grid (see FIG. 5).
  • a field “Recalculate route” can be activated in an input mask and any starting point in the grid (or circuit diagram) be set. Starting from this starting point, possible path directions are displayed and the path finally selected can be confirmed, whereupon the line length can be determined and adopted automatically.
  • circuit diagrams are also displayed, one for example for a floor area P and one for a (typically smaller) roof area D (see FIG. 5).
  • a floor area P and one for a (typically smaller) roof area D (see FIG. 5).
  • an operator can determine line lengths for lines that run either in the floor area or in the roof area, and this can also be shown accordingly in the top view and side view of the vehicle.
  • the tool can be used to determine the following other influencing variables: coupling length between control line and sacrificial line, which is determined analogously to the line length, although only common sections with the interference line are of interest and can therefore be selected; a distance to GND (ground); a termination impedance (sacrificial line) and internal impedance related to the interference line; a relative permittivity and relative permeability (1 equals air).
  • an input voltage can be entered as a constant voltage or PWM signal, the latter allowing further settings (for example an amplitude, sampling time, entry time, duty cycle or basic frequency).
  • EMC values in the form of interference voltages in the unit dBmV which in the context of this disclosure can apply to any EMC values (i.e. each EMC value can be determined frequency-dependently and / or in the named unit).
  • the graphic representation is deposited by horizontally extending areas 120-122, with an uppermost narrow (120) a critical value range, the middle width (121) a neutral value range (ie neither clearly critical nor clearly uncritical) and the lower wide strip 122 marked an uncritical range of values.
  • the stochastic calculation for individual influencing variables (eg cable length, coupling length, distance to GND, radius of the cable, distance between cable and cable) can then be used to determine the variation ranges and distributions explained above.
  • a maximum deviation of a previously determined value of the influencing variable represents the
  • Tolerance range or the range of variation for the calculation can be selected, which indicate the probability of the occurrence of an influencing variable value in the tolerance or variation range per iteration.
  • desired number of iterations i.e. samples
  • each measurement point i.e. each
  • FIG. 7 shows in area a) that each
  • the ultimately determined EMC result variable can preferably be the preferably frequency-dependent expected value (for example the expected EMC interference voltage per frequency) determined in the context of the stochastic consideration. This is entered in FIG. 7 in area b), namely as an essentially horizontal curve 140 with only a few swings. Also shown is a curve 142 provided with significantly larger deflections, which indicates an EMV result variable determined in an analog but analytical manner. Such a representation can also be used to assess the deviation of the analytically and stochastically determined EMC.
  • a frequency-dependent expected value for example the expected EMC interference voltage per frequency
  • an EMC result variable can also be preferred
  • frequency-dependent risk factor can be defined, which indicates the ratio of the determined (frequency-dependent) mean to a legal limit.
  • FIG. 8 finally shows a schematic illustration of an arrangement 200 according to the invention.
  • An input device 210 is shown as a conventional keyboard (alternative examples have been mentioned above) and the calculation device 220 as a conventional PC (alternative examples have been mentioned above).
  • the calculation device 220 comprises a computer program product (ie a software tool) and is configured to execute a method according to any aspect described herein when executing this computer program product (for example by means of a microprocessor of the computing device 220).

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Optimization (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Electromagnetism (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Feedback Control In General (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention concerne un procédé permettant de déterminer la compatibilité électromagnétique (CEM) d'un système technique, le procédé comprenant : - la spécification d'une grandeur d'influence du système technique, la grandeur d'influence exerçant une influence potentielle sur la CEM du système technique ; - la détermination d'au moins une grandeur de résultat CEM du système technique, sur la base d'une variation de la grandeur d'influence. L'invention concerne en outre un dispositif (200) permettant de déterminer la compatibilité électromagnétique (CEM) d'un système technique, le dispositif comprenant : - un moyen d'entrée (210) au moyen duquel un utilisateur peut spécifier au moins une grandeur d'influence du système technique, la grandeur d'influence exerçant une influence potentielle sur la CEM du système technique ; - un moyen de calcul conçu pour déterminer au moins une grandeur de résultat CEM du système technique, sur la base d'une variation de la grandeur d'influence.
EP20701008.3A 2019-01-18 2020-01-15 Procédé et dispositif permettant de déterminer la compatibilité électromagnétique (cem) d'un système technique Withdrawn EP3911962A1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE102019200660 2019-01-18
DE102019202978.7A DE102019202978A1 (de) 2019-01-18 2019-03-05 Verfahren und Anordnung zur Ermittlung der elektromagnetischen Verträglichkeit (EMV) eines technischen Systems
PCT/EP2020/050930 WO2020148344A1 (fr) 2019-01-18 2020-01-15 Procédé et dispositif permettant de déterminer la compatibilité électromagnétique (cem) d'un système technique

Publications (1)

Publication Number Publication Date
EP3911962A1 true EP3911962A1 (fr) 2021-11-24

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EP (1) EP3911962A1 (fr)
CN (1) CN113272664A (fr)
DE (1) DE102019202978A1 (fr)
WO (1) WO2020148344A1 (fr)

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CN112098756B (zh) * 2020-09-16 2023-07-18 东风柳州汽车有限公司 电磁兼容问题定位方法、装置、设备及存储介质
DE102021116576A1 (de) 2021-06-28 2022-12-29 Audi Aktiengesellschaft Kraftfahrzeug und Verfahren zur Reduktion eines elektromagnetischen Einflusses in einem Fahrzeuginnenraum
CN118501580A (zh) * 2023-09-27 2024-08-16 广州汽车集团股份有限公司 车内线束间耦合抗扰测试系统

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JP3894535B2 (ja) * 2001-07-13 2007-03-22 松下電器産業株式会社 不要輻射解析方法および不要輻射解析装置
JP2006209590A (ja) * 2005-01-31 2006-08-10 Ricoh Co Ltd 電磁界解析装置および解析方法、ならびに解析プログラム
JP5143052B2 (ja) * 2009-02-24 2013-02-13 株式会社日立製作所 ノイズ解析設計方法およびノイズ解析設計装置
US8539417B2 (en) * 2011-05-02 2013-09-17 International Business Machines Corporation Generating physical designs for electronic circuit boards
CN106503376B (zh) * 2016-10-27 2019-10-01 安徽江淮汽车集团股份有限公司 一种汽车网络架构建模仿真方法及系统

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DE102019202978A1 (de) 2020-07-23
CN113272664A (zh) 2021-08-17

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