CN116039547A

CN116039547A - Method and device for vehicle, vehicle and system

Info

Publication number: CN116039547A
Application number: CN202111260961.2A
Authority: CN
Inventors: 李佳谊
Original assignee: Bayerische Motoren Werke AG
Current assignee: Bayerische Motoren Werke AG
Priority date: 2021-10-28
Filing date: 2021-10-28
Publication date: 2023-05-02

Abstract

The present disclosure relates to a method for a vehicle, the method comprising: acquiring user identification data; providing a first control file associated with said user identification data, in which first control file a control data set for controlling a functional device within the first vehicle is provided; acquiring a first vehicle parameter of a first vehicle; acquiring a second vehicle parameter of a second vehicle; and generating a second control file for the second vehicle based on the first vehicle parameter, the second vehicle parameter, and the first control file and establishing an association between the second control file and the user identification data, the second control file having provided therein a control data set for controlling the functional device within the second vehicle. Furthermore, the disclosure relates to a device for a vehicle, a vehicle and a system. Methods, devices, vehicles, and systems according to the present disclosure may improve user experience.

Description

Method and device for vehicle, vehicle and system

Technical Field

The present disclosure relates generally to a method for a vehicle, an apparatus for a vehicle, and a system.

Background

In daily life, as a vehicle user, either a driver or a passenger may drive or ride a plurality of vehicles with which they are unfamiliar. For example, with the development of vehicle rental and vehicle sharing services, a driver may often drive a plurality of vehicles with which he is unfamiliar. In everyday life, a passenger may ride a number of vehicles with which he is unfamiliar, such as in the case of taxis. Whenever a person gets on his unfamiliar vehicle, the person is required to set up the vehicle by his hand in order to adapt the functional devices in the vehicle to his usage habits. However, each time it is necessary to manually set up the vehicle not only time consuming but also laborious, which may reduce the user experience of the vehicle user when using the vehicle.

In addition, a vehicle user may use vehicles of different vehicle series or vehicle models (e.g., different series of BMW models). Since vehicles of different vehicle series or vehicle models often have different design parameters, especially when the vehicle is first used, the user may not be able to adjust to the adapted use state in a short time. Therefore, how to further improve the user experience of a vehicle user when using a vehicle is a task to be solved by those skilled in the art.

Disclosure of Invention

It is an object of the present disclosure to provide a method for a vehicle, an apparatus for a vehicle, a vehicle and a system that overcome at least one of the drawbacks of the prior art. With such a method, device, vehicle or system, the user experience may be further improved.

According to a first aspect of the present disclosure, there is provided a method for a vehicle, the method comprising:

acquiring user identification data;

providing a first control file associated with said user identification data, in which first control file a control data set for controlling a functional device within the first vehicle is provided;

acquiring a first vehicle parameter, in particular a vehicle series parameter and/or a vehicle design parameter, of a first vehicle;

Acquiring a second vehicle parameter, in particular a vehicle series parameter and/or a vehicle design parameter, of a second vehicle; and

generating a second control file for the second vehicle based on the first vehicle parameter, the second vehicle parameter and the first control file and establishing an association between the second control file and the user identification data, wherein a control data set for controlling the functional device within the second vehicle is provided in the second control file.

According to the present disclosure, by obtaining a control file associated with a user for a particular vehicle (e.g., BMW three), a control file for a different vehicle, particularly a vehicle of a different vehicle family or vehicle model (e.g., BMW X3 or business vehicle family), may be created for the user. The control file group generated based on the control file group can be prestored in a remote server for remote access and calling by a user. Advantageously, the functional device of the vehicle can be automatically set for the user across a plurality of different vehicles, eliminating cumbersome manual operations by the user. For example, even if a user logs on to a vehicle that he is unfamiliar with, he may call a control file for that vehicle from a remote server to be automatically implemented on the vehicle. Preferably, the series of settings may be automatically implemented in only one step (i.e. the step of obtaining user identification data, that is to say, for example, the step of inputting fingerprint data by a user), thereby improving the user's experience.

According to a second aspect of the present disclosure, there is provided a method for a vehicle, the method comprising:

acquiring user identification data;

ascertaining whether the user identification data is associated with a first control file in which a control data set for controlling a functional device in the first vehicle is provided;

if the user identification data is associated with a first control file for the first vehicle: acquiring a first control file and controlling functional equipment in a first vehicle based on a control data set in the first control file;

if the user identification data is not associated with a first control file for the first vehicle, ascertaining whether the user identification data is associated with a user desired parameter:

if the user identification data is associated with a user desired parameter: obtaining user desired parameters associated with the user identification data, the user desired parameters being configured to characterize a user desired body part position in a vehicle, preferably the user desired parameters comprising: a desired eye position parameter, a desired head position parameter, and/or a desired hip position parameter; acquiring a first vehicle parameter; generating a first control file for the first vehicle based on the first vehicle parameter and the user desired parameter; and establishes an association between the first control file and the user identification data.

According to a third aspect of the present disclosure, there is provided an apparatus for a vehicle, characterized in that the apparatus comprises:

a memory configured to store a series of computer-executable instructions; and

a processor configured to execute the series of computer-executable instructions,

wherein the series of computer executable instructions, when executed by a processor, cause the processor to perform the steps of the method according to any of the some embodiments of the disclosure.

According to a fourth aspect of the present disclosure, there is provided a vehicle characterized by comprising:

an identification device configured to acquire user identification data;

a controller configured to:

If the user identification data is associated with a user desired parameter: obtaining user desired parameters associated with the user identification data, the user desired parameters being configured to characterize a user desired body part position in a vehicle, preferably the user desired parameters comprising: a desired eye position parameter, a desired head position parameter, and/or a desired hip position parameter; acquiring a first vehicle parameter; generating a first control file for the first vehicle based on the first vehicle parameter and the user desired parameter; and establishing a correlation between the first control file and the user identification data;

a transceiver that transmits and receives communication data to a remote server via a network.

According to a fifth aspect of the present disclosure, there is provided a system for a vehicle, the system comprising a vehicle and a server, characterized in that,

the vehicle comprises an identification device, a controller, a transceiver and a memory, wherein the identification device is configured to acquire user identification data and to send the user identification data to the controller, the transceiver being controlled by the controller to send the user identification data and vehicle parameters associated with the vehicle, in particular vehicle series parameters and/or vehicle design parameters, to a server via a network;

The server comprises a transceiver, a memory and a processor, wherein the transceiver is configured to receive user identification data and vehicle parameters, wherein a set of control files associated with different user identification data and different vehicle parameters are stored in the memory, wherein the processor retrieves control files associated with the user identification data and vehicle parameters based on the user identification data and the vehicle parameters and sends the control files to the vehicle via the transceiver of the server, wherein a control data set for controlling functional devices within the vehicle is provided in the control files.

Drawings

The foregoing and other aspects and advantages of the present disclosure will become apparent from the following detailed description of exemplary embodiments, taken in conjunction with the accompanying drawings, illustrating by way of example the principles of the disclosure. It is noted that the drawings are not necessarily drawn to scale.

Fig. 1 illustrates a block diagram of a system according to some exemplary embodiments of the present disclosure.

Fig. 2 illustrates a flow chart of a method according to some exemplary embodiments of the present disclosure.

FIG. 3 illustrates some exemplary setup parameters, vehicle parameters, and user desired parameters within a vehicle.

FIG. 4 illustrates an example block diagram for creating a control file.

Fig. 5 illustrates a flowchart of a method according to some exemplary embodiments of the present disclosure.

Detailed Description

The present disclosure will be described below with reference to the accompanying drawings, which illustrate several embodiments of the present disclosure. It should be understood, however, that the present disclosure may be presented in many different ways and is not limited to the embodiments described below; indeed, the embodiments described below are intended to provide a more complete disclosure and to fully illustrate the scope of the disclosure to those skilled in the art. It should also be understood that the embodiments disclosed herein can be combined in various ways to provide yet additional embodiments.

It should be understood that the terminology herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. Well-known functions or constructions may not be described in detail for brevity and/or clarity.

In this document, the term "a or B" includes "a and B" and "a or B", and does not include exclusively only "a" or only "B", unless otherwise specifically indicated.

In this document, the term "exemplary" means "serving as an example, instance, or illustration. Any implementation described herein by way of example is not necessarily to be construed as preferred or advantageous over other implementations. Furthermore, this disclosure is not limited by any expressed or implied theory presented in the preceding technical field, background, brief summary or the detailed description.

In addition, for reference purposes only, the terms "first," "second," and the like may also be used herein, and the terms "first," "second," and the like may also refer to a plurality of the terms "first," "second," and the like. For example, the terms "first," "second," and other such numerical terms referring to structures or elements do not imply a sequence or order unless clearly indicated by the context.

It will be further understood that the terms "comprises" and/or "comprising," when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, and/or components, and/or groups thereof. Unless otherwise defined, all terms (including technical and scientific terms) are used herein to their ordinary meaning in the art to which examples belong.

It should be noted that: the order of the method steps may be flexibly configured in this document, and steps are labeled with numbers for convenience of description only and are not limiting.

Aspects in accordance with the present disclosure are described in detail below with reference to fig. 1-3.

Referring initially to FIG. 1, a block diagram of a system 10 is shown, according to some exemplary embodiments of the present disclosure. The system 10 may include a vehicle 12, a network 14, and a remote server 16. The vehicle 12 may establish communication with a remote server 16 via a network 14. The network may be a wireless network supporting communication between the vehicle and a remote server. For example, the network may be a mobile communication network, such as a 3G, 4G or 5G network, e.g. a CDMA network, or may be a WLAN, such as a WiFi network. The remote server may be a distributed system maintained by a vehicle service provider. The remote server may comprise a cloud server.

The remote server may manage a series of control files or profiles associated with different users and different vehicles, and may store a plurality of control files or profiles associated with a plurality of vehicles, particularly vehicle models and/or vehicle series, for each user. A control data set for controlling the corresponding functional device in the vehicle is provided in the control file or configuration file.

The remote server 16 may include a transceiver 20, a memory 22, and a processor 24. The transceiver may be configured to receive the user identification data and at least a portion of a vehicle parameter, particularly a parameter characterizing a vehicle family or model. In some embodiments, the user identification data and the vehicle parameters may be characterized by a predetermined serial number or code. The processor may retrieve control files associated with the user identification data and the vehicle parameters based on the user identification data and the vehicle parameters and transmit the corresponding control files to the vehicle via the transceiver of the server. Thus, the remote server manages the set of control files associated with different user identification data and different vehicle parameters for remote access and recall.

In this context, the vehicle may be a movable conveyance, such as a car, a passenger car, a truck, a van, a train, a ship, a motorcycle, or other movable conveyance. It should be appreciated that the vehicle user may be any person within the vehicle, either an occupant or a driver.

The vehicle 12 may include an identification device 30, a controller 32, a transceiver 34, and a memory 36. The identification means may be configured to obtain user identification data and send it to the controller. The controller may ascertain whether a control file associated with the user identification data is stored in the memory: if the associated control file exists, directly calling the control file to control the function equipment in the vehicle; if no associated control file exists, the transceiver controller 32 is controlled to send the user identification data and vehicle parameters associated with the vehicle, in particular vehicle series parameters and/or vehicle design parameters, to the remote server 16 via the network 14 to request the control file associated with the user identification data and vehicle parameters stored in the remote server 16 from the remote access remote server 16.

The user identification data may be data that uniquely identifies the user. For example, the user identification data may be identification data uniquely assigned to the user by the vehicle manufacturer or vehicle service provider, such as an electronic card or code characterizing the identity. As another example, the user identification data may be biometric data obtained from a user, such as a fingerprint, iris, face, voice, etc.

The vehicle parameter may be data that uniquely identifies the vehicle or the vehicle model or series of vehicles, which may be stored at least in part in a memory of the vehicle, for example. Of course, the vehicle parameters may also be stored at least in part in the remote server. For example, the vehicle parameter may be a vehicle family parameter and/or a vehicle design parameter uniquely assigned to the vehicle or the vehicle model or family by a vehicle manufacturer or a vehicle service provider.

In some embodiments, the identification means may be a fingerprint identification touch panel for acquiring a fingerprint of the user. In some embodiments, the recognition device may be a camera for capturing features of the iris or face of the user. In some embodiments, the recognition device may be a microphone for capturing voice characteristics of the user. It should be understood that each device within the vehicle, for example the identification device, may be an identification device integrated on the vehicle, or it may be an identification device integrated on a mobile device that may be portable to be carried into the vehicle. For example, the mobile device may be a smart phone, a PC, a tablet, a key fob, a smart watch, etc.

Methods for vehicles according to some exemplary embodiments of the present disclosure will be described in detail below in order to create a control file for a user for different vehicles for the user to invoke when using the different vehicles.

The steps of the methods presented below are intended to be illustrative. In some embodiments, the method may be accomplished with one or more additional undescribed steps, and/or without one or more discussed steps. Furthermore, the order in which the steps of a method are illustrated in the figures and described below is not intended to be limiting.

In some embodiments, the method may be implemented in one or more processing devices (e.g., a digital processor, an analog processor, a digital circuit designed to process information, an analog circuit designed to process information, a state machine, and/or other mechanisms for electronically processing information). The one or more processing devices may include one or more modules that perform some or all of the steps of the method in response to instructions stored electronically on an electronic storage medium. The one or more processing modules may include one or more devices configured by hardware, firmware, and/or software specifically designed for the execution of one or more steps of the method.

The method may be performed by an apparatus for a vehicle, such as a remote server 16, according to the present disclosure. The device may include a memory 22 configured to store a series of computer-executable instructions; and a processor 24 configured to execute the series of computer-executable instructions, wherein the series of computer-executable instructions, when executed by the processor, cause the processor to perform the steps of the method. The series of control files created by the device, in particular by performing the steps of the method, may be stored in a remote server for remote access and recall by the user when using different vehicles.

In some embodiments, the device may be installed at a vehicle manufacturer, vehicle seller, or vehicle service provider (e.g., itself may be configured as a remote server 16) and create its own service profile, including control files, for a vehicle purchaser (i.e., future vehicle user). The device may establish a network connection with the user's vehicle and the user's mobile device, such as a smart phone, to obtain the desired parameters, such as any parameters about the user and/or the vehicle, from the user's vehicle and the user's mobile device.

Referring to fig. 2, a flow chart of a method according to some exemplary embodiments of the present disclosure is shown. As shown in fig. 2, the method may include the steps of:

step 101: acquiring user identification data;

step 102: providing a first control file associated with said user identification data, in which first control file a control data set for controlling a functional device within the first vehicle is provided;

step 103: acquiring a first vehicle parameter, in particular a vehicle series parameter and/or a vehicle design parameter, of a first vehicle;

step 104: acquiring a second vehicle parameter, in particular a vehicle series parameter and/or a vehicle design parameter, of a second vehicle;

step 105: generating a second control file for the second vehicle based on the first vehicle parameter, the second vehicle parameter and the first control file and establishing an association between the second control file and the user identification data, wherein a control data set for controlling the functional device within the second vehicle is provided in the second control file.

According to the method for the vehicle, the control file aiming at different vehicles can be created for specific vehicle users, so that the functional equipment in the vehicle can be automatically adjusted for the users only by inputting user identification data of the users when the vehicles of different vehicle series or vehicle models are used, and manual setting of the users is not needed or reduced. In other words, the method according to the present disclosure may enable automatic adjustment across vehicles, particularly across different vehicle families or vehicle models, for a particular vehicle user, significantly improving the user experience.

According to the present disclosure, the function device of the vehicle can be automatically set for the user across a plurality of different vehicles, without troublesome manual operations of the user. Furthermore, a control file group for different vehicles can be created for the user to invoke in a computationally efficient and reliable manner.

To create each control file, it is necessary to determine the control file of the user for the first vehicle. In order to provide the first control file for the first vehicle for the user, the following sub-steps may be performed in step 102:

step 1021: acquiring setting parameters of a user for functional equipment in a first vehicle;

step 1022: a first control file for the first vehicle is created based on the setting parameters and an association between the first control file and the user identification data is established.

The first vehicle may be a vehicle that is manually set by the user using the method for the first time. For example, a vehicle that a user first purchases or rents. In some embodiments, the first vehicle may be a vehicle at a vehicle manufacturer, a vehicle seller, or a vehicle service provider. The apparatus for a vehicle according to the present disclosure may be integrated within or communicatively coupled to the first vehicle.

By manually setting the functional device in the first vehicle, such as a seat, a rear view mirror, an air conditioner, a steering wheel, a display, etc., the setting parameters of the user for the functional device in the first vehicle can be obtained. Taking seat adjustment as an example, assume that a seat in a vehicle may be controlled by an automatic control system that includes one or more motors and/or one or more gear structures for driving the seat to a desired state, and one or more sensors for detecting the state of the seat. The construction of automatic control systems for seats in vehicles is known to the person skilled in the art. The longitudinal position of the seat in the vehicle (i.e., the position in the front-rear direction of the vehicle), the seating surface angle and/or the height, and the reclining angle of the seatback may be controlled by an automatic control system for the seat in the vehicle. Thus, the set-up parameters for the seat may include the following parameters: longitudinal position of the seat, seat surface angle and/or height, and reclining angle of the seat back. The seat may be a driver's seat or a passenger's seat, such as a co-pilot's seat.

In addition, the angle of the rear view mirror may be set as a setting parameter for the rear view mirror. The desired temperature in the vehicle may be set as a setting parameter for the air conditioner. Also, a desired fan speed may be set as a setting parameter for the fan. It is to be noted that the setting parameters are not limited to the parameters listed above. More parameters or fewer parameters may be used for each function to be driven or controlled.

It is to be noted that the relevant functions of the vehicle are not limited to the functions listed above. Overall functional control can be achieved. For example, the vehicle related functions may also include a navigation setting function that may set a series of preferred navigation settings, a video and/or audio entertainment setting function that may set a series of preferred entertainment settings, and so forth. As another example, the related functions of the vehicle may further include at least one of a window control function, a door control function, a lighting control function, and the like. Some exemplary setting parameters are shown with reference to fig. 3. As an example, these setting parameters may include: a seat hinge position setting parameter 1, a seat back angle setting parameter 2, a seat surface angle and/or height setting parameter 3, a pedal position setting parameter 4, a steering wheel center position setting parameter 5 and/or a steering wheel angle setting parameter 5 and a rearview mirror angle setting parameter 6. These setting parameters may be obtained from a control system for the respective functional device. For example, the angle of the seat movement or the height of the rise can be calculated from the rotation of the motor. Of course, it can also be obtained directly on the basis of the corresponding sensor. In step 1022, a first control file for the first vehicle may be created based on the setting parameters for the different function device, in which the setting parameters currently in effect for the different function device may be recorded. As an example, the first control files are associated with first user identification data, that is to say a unique user code is set for each first control file, which user code can uniquely characterize the user identification data. The first control file records setting parameters set by a user for various types of functional devices, such as seats, rearview mirrors, displays, atmosphere lamps, air conditioners, and the like, in the first vehicle. Of course, in order to update the corresponding setting parameters, the user may be able to reenter in a predetermined manner, which will not be described in detail here.

The process of creating a control file is described in detail next with reference to fig. 3 and 4, wherein fig. 3 shows some exemplary vehicle parameters and user desired parameters, and fig. 4 shows an exemplary block diagram for creating a control file.

According to the method of the present disclosure, in order to automatically generate a control file for a second vehicle (e.g., BMW class five, seven or X3) from a first control file created based on manual settings of a user within the first vehicle (e.g., BMW class three), vehicle parameters, particularly design parameters, of the first and second vehicles need to be obtained.

In step 103, at least one of the following vehicle parameters of the first vehicle may be obtained: vehicle model, vehicle series, instrument panel position, center control panel position, rear view mirror center position, and vehicle reference point.

In step 104, at least one of the following vehicle parameters of the second vehicle may be obtained: instrument panel position, center control panel position, mirror center position, and vehicle datum point.

Typically, vehicles manufactured by the same manufacturer will employ the same vehicle datum point and datum coordinate system. For example, the contact point between the front wheel and the ground is usually set as a reference point when the reference test is performed. For this purpose, the above-mentioned vehicle parameters may be described based on the same vehicle coordinate system. If the vehicle coordinate systems are different, the unification process can be performed by means of coordinate transformation. Reference may be made to related art documents and reference books in vehicle manufacture for this purpose, which are not described in detail herein. In summary, a transfer model between the first vehicle and the second vehicle needs to be established so that a first control file for the first vehicle can be converted into a second control file for the second vehicle.

According to the method of some embodiments of the present disclosure, in order to create the second control file, the following sub-steps may be performed in step 105:

step 1051: based on the first vehicle parameters and the first control file, user desired parameters are generated, which are configured for characterizing a user desired body part position, for example a desired eye position parameter 12, a desired head position parameter and/or a desired hip position parameter 11.

Step 1052: a second control file for the second vehicle is generated based on the second vehicle parameter and the user desired parameter.

According to the method of some embodiments of the present disclosure, through the transfer application across vehicles based on the user desired parameters, the computational complexity and associated computational expense of the overall method flow may be reduced. In addition, relatively accurate tuning performance may also be ensured by the transfer across the vehicle based on user desired parameters. Additionally or alternatively, the user may make a local readjustment, e.g. a fine adjustment, after having made an automatic adjustment based on the second control file while riding the second vehicle. Advantageously, readjusted setting parameters may be obtained and iteratively updated.

Methods according to some embodiments of the present disclosure may be performed in step 1052: the second vehicle parameters and the user desired parameters are input into a trained machine learning module, preferably an artificial neural network module, and the machine learning module, preferably the artificial neural network module, generates a second control file or can derive output data of the second control file based on this, that is to say generates setting parameters for controlling the functional devices in the second vehicle.

According to methods of some embodiments of the present disclosure, a machine learning system based on machine learning, preferably an artificial neural network, is proposed so that the second control file can be efficiently exported. Machine learning may use one or more models, rules, semantic understanding, workflow, or other structured or semi-structured understanding of the world for automatic optimization of control of a system or process based on feedback or feedforward to the working model of the system or process, etc.

Machine learning, and particularly artificial neural networks, can effectively establish correlations between numerous parameters so as to perform computation in a more comprehensive and accurate manner; in addition, machine learning, especially an artificial neural network, has the capability of searching an optimal solution at a high speed, so that a large amount of calculation is often required for searching an optimal solution of a complex problem, and the high-speed computing capability of a computer is exerted by utilizing the artificial neural network designed for a certain problem, so that the optimal solution can be found quickly.

In some embodiments, the step 1052 may be performed: the second vehicle parameter and the user desired parameter are input into a mathematical model-based calculation module, and the mathematical model-based calculation module calculates the second control file or can derive output data of the second control file based thereon. For example, a transfer function of the first vehicle to the second vehicle may be established based on the vehicle parameters and the user desired parameters in order to calculate a second control file for the second vehicle, that is to say to generate setting parameters for controlling the functional devices in the second vehicle.

Additionally or alternatively, methods according to some embodiments of the present disclosure may further comprise: a user body parameter is obtained and a second control file is generated based on the user body parameter (e.g., height, torso length, and/or race), a second vehicle parameter, and a user desired parameter. Therefore, more accurate control files can be provided in a mode which is more in line with the individual users, so that the subsequent unnecessary adjustment of the users is avoided, and the user experience is further improved.

Additionally or alternatively, methods according to some embodiments of the present disclosure may further comprise: the user body parameters, the first vehicle parameters and the setting parameters and/or the first control file are input into a trained machine learning module, preferably an artificial neural network module, and the machine learning module, preferably the artificial neural network module, generates the user desired parameters based thereon, or the user body parameters, the first vehicle parameters and the first control file are input into a mathematical model-based calculation module, and the mathematical model-based calculation module calculates the user desired parameters based thereon.

Methods for a vehicle according to some exemplary embodiments of the present disclosure will be described in detail below to illustrate other possible alternatives of the present disclosure. In this alternative, the corresponding control file is not generated in advance when the user first uses a particular vehicle, but is generated in real-time based on associated user desired parameters (which may be created in advance when control files are generated for other vehicles). Fig. 5 shows a flow chart of this alternative method.

When the user uses or needs to use the first vehicle, the method for the first vehicle may include the steps of:

step 310: acquiring user identification data;

step 320: ascertaining whether the user identification data is associated with a first control file in which a control data set for controlling a functional device in the first vehicle is provided;

step 330: if the user identification data is associated with a first control file for the first vehicle: acquiring a first control file and controlling functional equipment in a first vehicle based on a control data set in the first control file;

step 340: if the user identification data is not associated with a first control file for the first vehicle, ascertaining whether the user identification data is associated with a user desired parameter;

step 350: if the user identification data is associated with a user desired parameter: acquiring a user expected parameter associated with the user identification data, and acquiring a first vehicle parameter; generating a first control file for the first vehicle based on the first vehicle parameter and the user desired parameter; and establishes an association between the first control file and the user identification data.

In step 330, if a first control file is associated, it is indicated that the user has previously used the vehicle. The corresponding first control file is thus already stored in the memory of the vehicle. The system need only automatically invoke the corresponding first control file in response to a determination of the user identification data in order to automatically adjust the functional devices within the vehicle for the user.

In step 340, if a first control file is not associated, it indicates that the user has used the vehicle for the first time. For this purpose, it can be ascertained whether the user is associated with a user-desired parameter which is generated when using the other second vehicle and which can be used not only for the second vehicle but also for the first vehicle.

Additionally or alternatively, the method may further comprise step 360: if the user identification data is not associated with the user desired parameter: acquiring first setting parameters of a user for the functional equipment in a first vehicle; creating a first control file for the first vehicle based on the first setting parameters and establishing an association between the first control file and the user identification data; acquiring a first vehicle parameter; generating a user desired parameter based on the first vehicle parameter and the first control file, the user desired parameter configured to characterize a user desired body part position; and associating the user desired parameter with user identification data.

Additionally or alternatively, the method may further comprise step 370: acquiring a second vehicle parameter; a second control file for the second vehicle is generated based on the second vehicle parameter and the user desired parameter, and an association between the second control file and the user identification data is established. The generating of the second control file for the second vehicle based on the second vehicle parameter and the user desired parameter may be performed: the second vehicle parameter and the user desired parameter are input into a trained machine learning module, preferably an artificial neural network module, and the machine learning module, preferably the artificial neural network module, generates a second control file or can derive output data of the second control file based thereon, or the second vehicle parameter and the user desired parameter are input into a mathematical model-based calculation module, and the mathematical model-based calculation module calculates the second control file or can derive output data of the second control file based thereon.

Having thus described the present disclosure, it will be apparent that the present disclosure may be varied in a number of ways. Such variations are not to be regarded as a departure from the spirit and scope of the present disclosure, and all such modifications as would be obvious to one skilled in the art are intended to be included within the scope of the following claims.

Claims

1. A method for a vehicle, the method comprising:

acquiring user identification data;

2. The method of claim 1, wherein providing a first control file associated with the user identification data comprises:

Acquiring setting parameters of a user for functional equipment in a first vehicle;

a first control file for the first vehicle is created based on the setting parameters and an association between the first control file and the user identification data is established,

preferably, at least one of the following setting parameters is obtained: the seat hinge position setting parameters, the seat back angle setting parameters, the seat face angle and/or height setting parameters, the pedal position setting parameters, the steering wheel center position setting parameters, the steering wheel angle setting parameters, and the rearview mirror angle setting parameters.

3. The method of claim 1, wherein generating a second control file for the second vehicle based on the first vehicle parameter, the second vehicle parameter, and the first control file comprises:

generating a user desired parameter based on the first vehicle parameter and the first control file, the user desired parameter being configured to characterize a user desired body part position, preferably associating the user desired parameter with user identification data; and

a second control file for the second vehicle is generated based on the second vehicle parameter and the user desired parameter,

preferably, "generating the second control file for the second vehicle based on the second vehicle parameter and the user desired parameter" includes:

The second vehicle parameter and the user desired parameter are input into a trained machine learning module, preferably an artificial neural network module, and the machine learning module, preferably the artificial neural network module generates a second control file or can derive output data of the second control file based thereon, or the second vehicle parameter and the user desired parameter are input into a mathematical model-based calculation module, and the mathematical model-based calculation module calculates the second control file or can derive output data of the second control file based thereon,

preferably, the method further comprises: a user body parameter is obtained and a second control file is generated based on the user body parameter, the second vehicle parameter, and the user desired parameter.

4. The method of claim 3, wherein generating the user desired parameter based on the first vehicle parameter and the first control file comprises:

inputting the first vehicle parameter and the first control file into a trained machine learning module, preferably an artificial neural network module, and the machine learning module, preferably the artificial neural network module generating the user desired parameter based thereon, or inputting the first vehicle parameter and the first control file into a mathematical model-based calculation module, and the mathematical model-based calculation module calculating the user desired parameter based thereon,

Preferably, the method further comprises: acquiring a user body parameter and generating a user desired parameter based on the user body parameter, the first vehicle parameter and the first control file,

preferably, the user body parameters, the first vehicle parameters and the first setting parameters and/or the first control file are input into a trained machine learning module, preferably an artificial neural network module, and the machine learning module, preferably the artificial neural network module, generates the user desired parameters based thereon, or the user body parameters, the first vehicle parameters and the first control file are input into a mathematical model-based calculation module, and the mathematical model-based calculation module calculates the user desired parameters based thereon,

preferably, the user desired parameters include: a desired eye position parameter, a desired head position parameter and/or a desired hip position parameter,

preferably, the user physical parameters include at least one of the following: the height, the length of the trunk and the species of the person,

preferably, the functional device comprises at least one of: seats, rearview mirrors, air conditioners and fans.

5. A method according to any one of claims 1 to 4, wherein,

"acquiring user identification data" includes acquiring at least one of the following identification data of the user: a fingerprint, iris, face, voice, electronic card or code characterizing an identity;

"acquiring the first vehicle parameter of the first vehicle" includes acquiring at least one of the following vehicle parameters of the first vehicle: vehicle model, vehicle series, instrument panel position, center control panel position, rear view mirror center position, vehicle datum point; and

"acquiring the second vehicle parameter of the second vehicle" includes acquiring at least one of the following vehicle parameters of the second vehicle: instrument panel position, center control panel position, mirror center position, and vehicle datum point.

6. The method according to one of claims 1 to 4, characterized in that it comprises:

acquiring a third vehicle parameter, in particular a vehicle series parameter and/or a vehicle design parameter, of a third vehicle; and

generating a third control file for the third vehicle based on the first vehicle parameter, the third vehicle parameter and the first control file and establishing an association between the third control file and the user identification data, wherein a control data set for controlling the functional devices within the third vehicle is provided in the third control file,

Preferably, a user desired parameter is generated based on the first vehicle parameter and the first control file, the user desired parameter being configured for characterizing a user desired body part position; and generating a third control file for the third vehicle based on the third vehicle parameters and the user desired parameters.

7. A method for a first vehicle, the method comprising:

acquiring user identification data;

8. The method of claim 7, wherein if the user identification data is not associated with a user desired parameter:

acquiring first setting parameters of a user for the functional equipment in a first vehicle;

creating a first control file for the first vehicle based on the first setting parameters and establishing an association between the first control file and the user identification data;

acquiring a first vehicle parameter;

generating a user desired parameter based on the first vehicle parameter and the first control file, the user desired parameter configured to characterize a user desired body part position; and

the user desired parameter is associated with user identification data.

9. The method of claim 8, wherein generating the user desired parameter based on the first vehicle parameter and the first control file comprises:

the first vehicle parameters and the first control file are input into a trained machine learning module, preferably an artificial neural network module, and the machine learning module, preferably the artificial neural network module generates the user desired parameters based thereon, or the first vehicle parameters and the first control file are input into a mathematical model-based calculation module, and the mathematical model-based calculation module calculates the user desired parameters based thereon.

10. The method according to claim 8, characterized in that the method comprises:

acquiring a second vehicle parameter;

generating a second control file for the second vehicle based on the second vehicle parameter and the user desired parameter, and

an association between the second control file and the user identification data is established.

11. The method of claim 10, wherein generating a second control file for the second vehicle based on the second vehicle parameter and the user desired parameter "

Inputting the second vehicle parameter and the user desired parameter into a trained machine learning module, preferably an artificial neural network module, and the machine learning module, preferably the artificial neural network module, generates a second control file or can derive output data of the second control file based thereon, or inputting the second vehicle parameter and the user desired parameter into a mathematical model-based calculation module, and the mathematical model-based calculation module calculates the second control file or can derive output data of the second control file based thereon,

preferably, the method further comprises: a user body parameter is obtained and a second control file for the second vehicle is generated based on the user body parameter, the second vehicle parameter, and the user desired parameter.

12. An apparatus for a vehicle, the apparatus comprising:

a memory configured to store a series of computer-executable instructions; and

wherein the series of computer executable instructions, when executed by a processor, cause the processor to perform the steps of the method of any one of claims 1-11.

13. A first vehicle, the first vehicle comprising:

an identification device configured to acquire user identification data;

a controller configured to:

14. The first vehicle of claim 13, wherein the controller is configured to:

if the user identification data is not associated with the user desired parameter:

acquiring a first vehicle parameter;

Associating the user desired parameter with user identification data,

preferably, the controller is configured to:

acquiring a second vehicle parameter;

an association between the second control file and the user identification data is established,

preferably, the controller is configured to:

15. A system for a vehicle, the system comprising a vehicle and a server, characterized in that,

the server comprises a transceiver, a memory and a processor, wherein the transceiver is configured to receive user identification data and vehicle parameters, wherein a set of control files associated with different user identification data and different vehicle parameters are stored in the memory, wherein the processor retrieves control files associated with the user identification data and vehicle parameters based on the user identification data and vehicle parameters and sends the control files to the vehicle via the transceiver of the server, wherein a control data set for controlling functional devices within the vehicle is provided in the control files, preferably the server is configured as a device according to claim 12.