WO2017102740A1 - Procédé d'établissement d'une structure de données, procédé pour faire fonctionner un système de véhicule et véhicule à moteur - Google Patents
Procédé d'établissement d'une structure de données, procédé pour faire fonctionner un système de véhicule et véhicule à moteur Download PDFInfo
- Publication number
- WO2017102740A1 WO2017102740A1 PCT/EP2016/080821 EP2016080821W WO2017102740A1 WO 2017102740 A1 WO2017102740 A1 WO 2017102740A1 EP 2016080821 W EP2016080821 W EP 2016080821W WO 2017102740 A1 WO2017102740 A1 WO 2017102740A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- occupant
- model
- vehicle system
- motor vehicle
- vehicle
- 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.)
- Ceased
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Classifications
-
- 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
- B60R16/037—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 for occupant comfort, e.g. for automatic adjustment of appliances according to personal settings, e.g. seats, mirrors, steering wheel
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Definitions
- the invention relates to a method for producing a data structure to be used for adjusting at least one vehicle system, in particular a safety system, of a motor vehicle as a function of at least one occupant property of an occupant, a method for operating at least one vehicle system in a motor vehicle and a motor vehicle.
- the invention is therefore based on the object to enable a contrast, improved, automatic adjustment of vehicle systems to individual occupants of a motor vehicle.
- the invention provides a method for creating a data structure to be used for adjusting at least one vehicle system, in particular a safety system, of a motor vehicle as a function of at least one occupant property of an occupant, which is characterized in that a model parameter describing at least one occupant characteristic is parameterized.
- biomechanical human model is used, which is determined by simulations carried out for the motor vehicle for several model parameter sets and several accident records describing an accident data sets with respect to a safety descriptive of the occupant described descriptive safety value for each model parameter set optimized vehicle system parameters of the at least one vehicle system and to create the model parameters driving system parameters assigning data structure are used.
- a simulation with a (virtual, ie software-based) human model is used to derive a data structure from the simulation results, which can then be stored in a motor vehicle to automatically operate a vehicle system for adjustment to an occupant.
- occupant characteristics of a current occupant are then determined, according to which the data structure makes it possible to determine corresponding vehicle system parameters that are optimally matched to the current occupants and to use them for setting the vehicle system.
- the data structure can be determined in particular as a database and / or a data map, wherein according to the invention the use of a data map is preferred in order to enable automatic adjustment of at least one vehicle system to a current occupant as simply and quickly as possible.
- the simulation it is expedient to use a motor vehicle model which covers at least all properties relevant to the at least one vehicle system and its setting. Since the present invention particularly aims at increasing the safety of the occupant, it is proposed to use several accident data sets describing each accident in order to determine the optimal vehicle system parameters. Consequently, at least one simulation with each accident data record is carried out for each model parameter set. Thus, the available accident data base is maximally utilized in order to be able to determine comparable optimized vehicle system parameters for each model parameter set.
- human model simulations are used to construct a detailed model-specific data structure, which can also be called a simulation matrix, which can be stored in motor vehicles in order to adapt vehicle systems to current occupants.
- a simulation matrix which can be stored in motor vehicles in order to adapt vehicle systems to current occupants.
- an individual vote of the vehicle systems on the specific anatomical and medical characteristics of the occupant is allowed in the motor vehicle, which means a high comfort and safety gain.
- the individual setting of safety functions enables the optimum presetting of the occupant protection systems on the individual occupants and thus maximum personal protection potential.
- At least one occupant characteristic from the group comprising gender, height, weight, weight distribution, physique, skeletal geometry, skeletal constitution, and occupant parameters describing medical pre-damage is used as model parameter.
- the biomechanics can be depicted as correctly as possible, completely and descriptively describing the specific occupants.
- classification and abstraction systems in particular from the field of medicine, already exist for such occupant properties, which allow a compact mapping to more complex structures in only a few occupant parameters.
- a human model for example, a multi-body human model, ie in particular one that in a data structure rigid components, symbolizing, for example, limbs that are coupled, can be used.
- a multi-body human model ie in particular one that in a data structure rigid components, symbolizing, for example, limbs that are coupled
- other types of human models known in particular from medical technology are conceivable, which can be used, for example those which can image the biomechanics right down to individual muscles. It should be noted at this point that ultimately there is no time criticality in determining the data structure: It is therefore quite conceivable to carry out more complex models and thus also more complex simulations in order to obtain the most reliable database possible.
- the simulation can include a finite element simulation or be based on a finite element model.
- a finite element simulation can be offered, which, moreover, is matched with suitably adapted human models, which can also be embodied, for example, as finite element models. Therefore, medical human models are particularly preferred for safety investigations in vehicles known simulation methods combined, where, as described, the use of the human model for the first time allows the comprehensive consideration of biomechanical relationships in accident situations and possibly other driving situations.
- simulations are also carried out for at least one driving situation describing a general driving situation and / or at least some of the vehicle system parameters are also optimizing the comfort value describing the comfort of the occupant.
- the main focus of the present invention is therefore on safety aspects, it is quite conceivable, for example in the context of a secondary optimization criterion and / or a weighted optimization target function, to perform an analysis of the simulation results also with regard to comfort criteria.
- the procedure in the evaluation of the simulation results is designed so that the remaining margin for the vehicle system parameters, which remains beyond ensuring the lowest possible risk of injury, is used to optimize the comfort of the occupant (secondary optimization criterion).
- the model parameter sets may preferably cover a space formed from real human data with respect to the occupant characteristics, in particular more densely for denser human data.
- the model parameter sets are therefore based in their selection on the properties of real people, whereby preferably the random choice made on the basis of the finite number of model parameter sets simulates the frequency distribution in civilization as it were. If, for example, a large number of people have certain occupant characteristics, a higher sampling rate is chosen here by the model parameters than in the case of occupant characteristics, which have few people in order to be able to store the most suitable data for the most frequently occurring cases.
- the real human data it is particularly expedient for the real human data to be retrieved from at least one database comprising a large number of people, in particular from an anthropomorphic database and / or a medical database.
- Anthropomorphic databases are often anonymized and publicly available in states, with often medical institutions provide anonymized medical databases, so far mostly used for medical research purposes.
- Such information sources are also used with particular advantage in the context of the present invention in order to be able to compile model parameter sets as close to reality as possible.
- a particularly preferred development of the present invention provides that real accident data describing real accident data from a real accident database are used as accident data records.
- accident databases which contain a large number of real accidents of varying degrees of detail.
- Such accident databases can be used with particular advantage in the context of the present invention in order to make a judgment based on a number of real, actually occurred accidents, which settings of the vehicle system result in minimal injury to a person described by a model parameter set. This further increases the realism of the method according to the invention.
- load cases descriptive can be used. These relate in particular to experimental situations and / or situations intended for driving tests, which are used for tests of safety systems or define requirements for them. Such load cases may be defined by law or based on consumer protection requirements.
- the invention also relates to a method for operating at least one vehicle system in a motor vehicle, which is characterized in that an occupant properties of a certain seat seat assignable or assigned occupant descriptive model parameter set is received, depending on the received model parameter set from a in an inventive Creation method determined vehicle structure parameter set is determined and the vehicle system is set according to the vehicle system parameter set. All statements on the creation method according to the invention apply, of course, to the operating method according to the invention.
- the operating method according to the invention thus relates to the specific application of the determined data structure in a motor vehicle. For this purpose, a model parameter set is accepted for an occupant located at a certain seat, whereupon, based on the data structure, the optimum vehicle system parameters for this occupant at this seat can be determined automatically.
- the received model parameter set is at least partially read out from a data carrier carried by the occupant and / or at least partially determined by at least one occupant sensor of the motor vehicle and / or after identification of the occupant from an occupant database of the motor vehicle. is read. Consequently, different, also combinable, possibilities are conceivable in order to obtain a model parameter set of the current occupant.
- the model parameter set is read from a data carrier of the occupant. For this purpose, it is particularly appropriate to at least partially store the model parameter set on a vehicle key.
- At least a portion of the received model parameters were determined by measuring the occupant using a medical imaging technique.
- medical imaging methods currently exist that allow the necessary occupant properties for a biometric assessment and thus the use of the data structure to be accessed with extremely little stress.
- a geometric three-dimensional body model can be derived from the image data, from which in turn the anatomical and medical parameters relevant to the vehicle function can be derived, specifically the model parameters over which the data structure corresponding optimal vehicle system parameters can be retrieved.
- the invention also relates to a motor vehicle, comprising a trained for carrying out the operating method of the invention control unit. All statements concerning the method of creation according to the invention and the operating method according to the invention can be analogously applied to the motor vehicle according to the invention, with which the advantages already mentioned can be obtained.
- Fig. 1 is a sketch for explaining the inventive method
- Fig. 2 is a schematic diagram of a motor vehicle according to the invention.
- FIG. 1 shows how, according to the invention, optimal adjustment of vehicle systems to current occupants of a motor vehicle can take place, so that the greatest possible safety and, as a secondary optimization target, also a high level of comfort can be achieved.
- a biometric human model which is integrated into simulations of accident situations and possibly other driving situations, in order to generate a data structure from which suitable vehicle occupant properties can be derived for specific occupant characteristics of a current occupant.
- first model parameters 3 for the parameterizable, biomechanical human model are compiled, which cover the occupant characteristics occurring in the population as comprehensively as possible, whereby for ranges of values of occupant characteristics, which may occur particularly frequently, a denser occupation of the model parameter space can also be selected.
- an accident database 4 is used in which data are stored on a large number of real accidents that have occurred in reality. From these, a plurality of representative accident records are selected.
- the data structure 6, which is designed here as a characteristic map is determined.
- the optimization method 5 forms a framework for simulations 7 on which the optimization is based. Specifically, for each model parameter set 3 simulations 7 are performed with all accident records, possibly additionally with driving situation data sets that describe general, so not an accident corresponding driving situations.
- the data structure 6 is derived, which as such associates any desired model parameter sets, ie occupant characteristics of actual occupants, with correspondingly optimal vehicle system parameters.
- the data structure 6 is formed in the present example as a map.
- the map is stored in a memory device of a control device of the motor vehicle.
- a medical image data record 8 of the corresponding occupant is recorded in the exemplary embodiment illustrated here.
- the required occupant properties are derived therefrom, so that a specific model parameter set 10 relating to an actual occupant results, which in a data carrier assigned to the occupant or even in regular use of the motor vehicle by the occupant in the motor vehicle itself Inmate database can be saved.
- an optimal vehicle system parameter set is determined in a step 1 1 using the data structure 6 in a quick and simple manner.
- a step 12 symbolizes the setting of the vehicle systems in accordance with the vehicle system parameters determined in step 1 1, wherein in the present case, seats 13, airbags 14 and belt systems 15 are shown by way of example as vehicle systems. As indicated, it is of course possible to control further vehicle systems, in particular those relating to the safety of the occupant.
- occupant parameters are used as model parameters which describe the occupant characteristics according to gender, height, weight, weight distribution, physique, skeletal geometry, skeletal constitution and previous medical damage.
- model parameters which describe the occupant characteristics according to gender, height, weight, weight distribution, physique, skeletal geometry, skeletal constitution and previous medical damage.
- FIG. 2 is a schematic diagram of a motor vehicle 16 according to the invention, which has a control unit 17 for carrying out the operating method.
- a data structure 6 is stored in the control unit 17.
- the control unit 17 is connected to the vehicle systems to be controlled, here again by way of example seats 13, airbags 14 and belt systems 15.
- a connection to an interface 19 can be established via the bus system, via which model parameter sets can be received.
- model ID records relating to current occupants can also be retrieved from an occupant database 21 stored in a memory device 20 when an occupant is identified via a corresponding identification device (not shown here).
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Automation & Control Theory (AREA)
- Aviation & Aerospace Engineering (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Seats For Vehicles (AREA)
Abstract
Procédé d'établissement d'une structure de données (6) à employer pour régler au moins un système de véhicule, notamment un système de sécurité d'un véhicule à moteur (16) en fonction d'au moins une propriété passager relative à un passager. Selon l'invention, le procédé fait appel à un modèle humain biomécanique pouvant être paramétré par au moins un paramètre de modèle décrivant une propriété passager, des simulations (7) exécutées par le véhicule à moteur (16), pour plusieurs jeux de paramètres de modèle (3) et plusieurs jeux de données d'accident décrivant respectivement un accident vis-à-vis d'une valeur de sécurité décrivant la sécurité du passager décrit par le modèle humain, permettant de déterminer des paramètres de système de véhicule du ou des systèmes de véhicule, optimisés pour un jeu de paramètres de modèle (3) respectif, lesquels sont employés pour établir la structure de données (6) associée aux paramètres de modèle-paramètres de système de conduite.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102015016511.9A DE102015016511A1 (de) | 2015-12-18 | 2015-12-18 | Verfahren zur Erstellung einer Datenstruktur, Verfahren zum Betrieb eines Fahrzeugsystems und Kraftfahrzeug |
| DE102015016511.9 | 2015-12-18 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2017102740A1 true WO2017102740A1 (fr) | 2017-06-22 |
Family
ID=57590502
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/EP2016/080821 Ceased WO2017102740A1 (fr) | 2015-12-18 | 2016-12-13 | Procédé d'établissement d'une structure de données, procédé pour faire fonctionner un système de véhicule et véhicule à moteur |
Country Status (2)
| Country | Link |
|---|---|
| DE (1) | DE102015016511A1 (fr) |
| WO (1) | WO2017102740A1 (fr) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102018118129A1 (de) * | 2018-07-26 | 2020-01-30 | Automotive Safety Technologies Gmbh | Insassenschutzsystem, Kraftfahrzeug und Verfahren zum Betreiben eines Insassenschutzsystems |
| DE102022207011A1 (de) | 2022-07-08 | 2024-01-11 | Continental Automotive Technologies GmbH | Verfahren zum Betrieb eines Insassenschutzsystems für ein Kraftfahrzeug |
| DE102023104016A1 (de) * | 2023-02-17 | 2024-08-22 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren zur Vorkonditionierung von Schutzmaßnahmen in einem wenigstens teilautonomen Kraftwagen sowie eine Simulationseinrichtung |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102018214445A1 (de) | 2018-08-27 | 2020-01-02 | Audi Ag | Verfahren zur Ermittlung eines Insassenmodells und Bildaufnahmeeinrichtung |
| DE102019208646A1 (de) * | 2019-06-13 | 2020-12-17 | Audi Ag | Verfahren zum Betreiben eines Fluggeräts zur Passagierbeförderung sowie Steuereinrichtung zur Durchführung eines derartigen Verfahrens |
| DE102023129431A1 (de) | 2023-10-25 | 2025-04-30 | VAIVA GmbH | Verfahren zur Überprüfung von Fahrzeugfunktionen |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2004071816A1 (fr) * | 2003-02-14 | 2004-08-26 | Daimlerchrysler Ag | Procede pour preregler un systeme de protection des occupants d'un vehicule |
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| US4204255A (en) * | 1976-09-09 | 1980-05-20 | Keiper Automobiltechnik Gmbh & Co Kg | Apparatus for adjusting a vehicle seat |
| US9308879B2 (en) * | 2008-08-06 | 2016-04-12 | Honeywell International Inc. | Method, system, and apparatus of vehicle and fleet operator profile automation and deployment |
| DE102012208644B4 (de) * | 2011-11-23 | 2014-02-27 | Johnson Controls Gmbh | Vorrichtung und Verfahren zur Anpassung einer Sitzposition |
-
2015
- 2015-12-18 DE DE102015016511.9A patent/DE102015016511A1/de not_active Withdrawn
-
2016
- 2016-12-13 WO PCT/EP2016/080821 patent/WO2017102740A1/fr not_active Ceased
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2004071816A1 (fr) * | 2003-02-14 | 2004-08-26 | Daimlerchrysler Ag | Procede pour preregler un systeme de protection des occupants d'un vehicule |
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| ESI GROUP ET AL: "Virtual Evaluation of Seat Performance using ESI's Virtual Seat Solution Global Seat System Creator", 23 June 2015 (2015-06-23), pages 1 - 8, XP055340766, Retrieved from the Internet <URL:https://www.esi-group.com/sites/default/files/.../esi_tachi_brochure_final_lq.pdf> [retrieved on 20170131] * |
| IZTOK CIGLARIC ET AL: "PRISM WP1: Task 1.1: State of the Art and Patent Search Report", REPORT WP1 TASK 1.1, EUROPEAN PRISM PROJECT, 1 February 2005 (2005-02-01), pages 1 - 54, XP055340581, Retrieved from the Internet <URL:http://www.prismproject.com/SOTA_Final.pdf> [retrieved on 20170131] * |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102018118129A1 (de) * | 2018-07-26 | 2020-01-30 | Automotive Safety Technologies Gmbh | Insassenschutzsystem, Kraftfahrzeug und Verfahren zum Betreiben eines Insassenschutzsystems |
| DE102022207011A1 (de) | 2022-07-08 | 2024-01-11 | Continental Automotive Technologies GmbH | Verfahren zum Betrieb eines Insassenschutzsystems für ein Kraftfahrzeug |
| DE102023104016A1 (de) * | 2023-02-17 | 2024-08-22 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren zur Vorkonditionierung von Schutzmaßnahmen in einem wenigstens teilautonomen Kraftwagen sowie eine Simulationseinrichtung |
| DE102023104016B4 (de) | 2023-02-17 | 2025-01-23 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren zur Vorkonditionierung von Schutzmaßnahmen in einem wenigstens teilautonomen Kraftwagen sowie eine Simulationseinrichtung |
Also Published As
| Publication number | Publication date |
|---|---|
| DE102015016511A1 (de) | 2017-06-22 |
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