Vehicle control method, control equipment, vehicle and readable storage medium

Abstract

The invention discloses a vehicle control method and device, a vehicle and a computer readable storage medium, and the vehicle control method comprises the steps that configuration determination factors are obtained, and the configuration determination factors comprise at least one of operation information, biological characteristic information and received remote control information; taking a preset configuration strategy as a target configuration strategy in response to the condition that the configuration determination factor meets a preset condition; and performing personalized configuration on the vehicle according to the target configuration strategy. Thus, according to the technical scheme, the matching function of the configuration strategy can be achieved, the proper configuration strategy can be conveniently matched for the current driver so as to carry out personalized configuration on the vehicle, and the driving experience is improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a vehicle control method, a control device, a vehicle, and a computer-readable storage medium. Background Art

[0002] The current situation of car ownership in China is that a family generally has only one car, and family members take turns using the car, and occasionally someone else temporarily uses the car, so a car may be used by multiple drivers. Since everyone has different car usage habits, each user can manually personalize various functions in the vehicle (such as functions related to driving control, functions related to the interior environment, etc.) according to their own habits and preferences after getting in the car.

[0003] Therefore, every time a different driver changes the car, it is necessary to reconfigure the various functions in the vehicle one by one according to the current driver's habits and preferences. For example, after the owner lends the car to another person for temporary use, the configuration of the various functions of the vehicle may be different from the original configuration of the owner, resulting in the owner having to spend a lot of time and energy to reconfigure the various functions in the vehicle one by one according to his own habits and preferences to restore the original configuration when he uses the car again. Therefore, how to conveniently match the appropriate configuration strategy for the driver to personalize the vehicle is a technical problem that technicians in this field need to solve urgently. Summary of the invention

[0004] The purpose of the present application is to provide a vehicle control method, a control device, a vehicle and a computer-readable storage medium, which can conveniently match a suitable configuration strategy for the driver to personalize the vehicle, thereby improving the driving experience.

[0005] To achieve the above objectives: An embodiment of the present application provides a vehicle control method, comprising: obtaining a configuration determination factor, the configuration determination factor including at least one of operation information, biometric information, and received remote control information; in response to the configuration determination factor meeting a preset condition, directly using a preset configuration strategy as a target configuration strategy; and performing personalized configuration of the vehicle according to the target configuration strategy.

[0006] In one embodiment, the preset condition includes at least one of the following: Determining that the operation information corresponds to a preset operation of selecting a preset configuration strategy; Determine that the biometric information is stored in association with a preset configuration policy; It is determined that the remote control information corresponds to switching to a preset configuration strategy.

[0007] In one embodiment, the preset condition includes determining that the remote control information corresponds to switching to a preset configuration strategy, and before the step of obtaining the configuration determination factor, it includes: obtaining person-vehicle distance information; when the person-vehicle distance information meets the determination condition of driving intention, obtaining the current user information corresponding to the person-vehicle distance information and the first user information of the last time the car was used; when the current user information is different from the first user information, sending a configuration change request to the mobile terminal corresponding to the current user information to remind the user of the mobile terminal to trigger the remote control information of the switching configuration.

[0008] In one embodiment, the method provided in the present application also includes: in response to receiving an activation operation corresponding to a big data recommendation function, determining a new target configuration strategy based on biometric information and big data, and executing the step of personalizing the vehicle according to the target configuration strategy.

[0009] In one embodiment, the step of determining a new target configuration strategy based on biometric information and big data includes one of the following: Based on the biometric information, searching a first recommended configuration strategy matching the biometric information from a driving configuration library as a new target configuration strategy, wherein the driving configuration library is obtained by analyzing and processing the big data of the correspondence relationship between the collected biometrics and the configuration strategy; The biometric information is imported into a pre-built configuration matching model to obtain a recommended configuration strategy, and the recommended configuration strategy is used as a new target configuration strategy, wherein the configuration matching model is trained based on a large data set of the correspondence between biometrics and configuration strategies.

[0010] In one embodiment, after the step of personalizing the vehicle according to the target configuration strategy, the method includes: detecting adjustment information of the vehicle configuration when the vehicle is used; searching for a second recommended configuration strategy that matches the biometric information and the adjustment information from a driving configuration library; updating the target configuration strategy according to the second recommended configuration strategy, and returning to the step of personalizing the vehicle according to the target configuration strategy.

[0011] In one embodiment, after the step of personalizing the vehicle according to the target configuration strategy, the method includes: detecting the driving data of the vehicle and determining the corresponding driving style; obtaining recommended driving configuration information according to the driving style; updating the driving configuration information in the target configuration strategy according to the recommended driving configuration information to obtain an updated target configuration strategy, and returning to the step of personalizing the vehicle according to the target configuration strategy.

[0012] An embodiment of the present application also provides a control device, including: a processor and a memory storing a computer program, and when the processor runs the computer program, the vehicle control method steps described in any one of the above items are implemented.

[0013] An embodiment of the present application also provides a vehicle equipped with the above-mentioned control device.

[0014] An embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the steps of the vehicle control method described in any one of the above items are implemented.

[0015] The vehicle control method, control device, vehicle and computer-readable storage medium provided in the embodiments of the present application, the vehicle control method includes: obtaining configuration determination factors, the configuration determination factors include at least one of operation information, biometric information, and received remote control information; in response to the configuration determination factors meeting the preset conditions, directly using the preset configuration strategy as the target configuration strategy; and personalizing the vehicle according to the target configuration strategy. In this way, the technical solution of the present application can realize the convenient personalized settings directly using the preset configuration strategy in the vehicle, adapting to the current driver's habits and preferences, so as to conveniently perform personalized settings. Therefore, the technical solution of the present application can realize the configuration strategy matching function, conveniently matching the appropriate configuration strategy for the driver to personalize the vehicle, and improving the driving experience.

[0016] Furthermore, the technical solution of this embodiment can predict the habits and preferences of the current driver based on big data recommendation technology combined with the current driver's biometric information when the current driver has a big data recommendation demand for configuration strategies, so as to recommend new configuration strategies suitable for the current driver, thereby realizing convenient personalized setting changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A first flow chart of a vehicle control method provided in an embodiment of the present application.

[0018] Figure 2 A second flow chart of the vehicle control method provided in an embodiment of the present application.

[0019] Figure 3 A schematic diagram of the configuration strategy corresponding to the vehicle owner mode of an example embodiment of the present application.

[0020] Figure 4 A schematic diagram of the structure of a control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0021] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0022] It should be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0023] It should be understood that, although the terms first, second, third, etc. may be used to describe various information in this article, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this article, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein can be interpreted as "at the time of..." or "when..." or "in response to determination". Furthermore, as used in this article, the singular forms "one", "one" and "the" are intended to also include plural forms, unless there is an opposite indication in the context. It should be further understood that the terms "comprising", "including" indicate that there are described features, steps, operations, elements, components, projects, kinds, and / or groups, but do not exclude the existence, occurrence or addition of one or more other features, steps, operations, elements, components, projects, kinds, and / or groups. The terms "or" and "and / or" used herein are interpreted as inclusive, or mean any one or any combination. Thus, “A, B, or C” or “A, B and / or C” means “any of the following: A; B; C; A and B; A and C; B and C; A, B, and C.” An exception to this definition will occur only when a combination of elements, functions, steps, or operations are inherently mutually exclusive in some manner.

[0024] It should be understood that, although the various steps in the flowchart in the embodiment of the present application are displayed in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and it can be performed in other orders. Moreover, at least a portion of the steps in the figure may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and their execution order is not necessarily performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0025] It should be noted that in this article, step codes such as S1 and S2 are used for the purpose of expressing the corresponding content more clearly and concisely, and do not constitute a substantial limitation on the order. When implementing the step, those skilled in the art may execute S2 first and then S1, etc., but these should all be within the scope of protection of this application.

[0026] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0027] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present application, and have no specific meanings. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0028] See also Figure 1 , is a vehicle control method provided in an embodiment of the present application. The method can be executed by a control device provided in an embodiment of the present application. The control device can be implemented in software and / or hardware.

[0029] The vehicle control method provided in this embodiment includes the following steps (for example, steps S1 to S3): Step S1: Acquire configuration determination factors, where the configuration determination factors include at least one of operation information, biometric information, and received remote control information.

[0030] It should be understood that the configuration determination factors include but are not limited to at least one of the operation information, biometric information, and received remote control information, and may also be other factors that can guide the determination of the configuration strategy, such as time information, parking location information, etc.

[0031] In one embodiment, the operation information may represent the operation of a physical button of a specific function in the vehicle or the operation of an operation interface of a control device. The operation of a physical button in the vehicle may include, for example, pressing a function button on a cockpit seat or a function button on a center console. The operation of an operation interface of a control device may include, but is not limited to, click operations, gesture / slide operations, etc., such as click operations on virtual buttons corresponding to specific functions in the operation interface; for example, performing a multi-click operation, a specific slide action, or a gesture action on any area or a specific area in the operation interface, and determining a specific function associated therewith based on the multi-click operation, the specific slide action, or the gesture action.

[0032] In one embodiment, the biometric information may represent information related to various physical features of a human body. The biometric information may include identification-type biometric information and classification-type biometric information.

[0033] In one embodiment, the identification type biometric information may represent information related to various physical features that can uniquely identify / identify a user. The identification type biometric information includes but is not limited to at least one of the biometric features with unique identification, such as face information, fingerprint information, iris information, etc.

[0034] In one embodiment, the biometric information of different types may represent information related to physical features that can classify human bodies, other than the identification biometric information. The biometric information of different types includes, but is not limited to, at least one of height information, weight information, age information, and gender.

[0035] In one embodiment, the classified biometric information may be obtained by inputting information by a user through an interactive interface in the vehicle.

[0036] In one embodiment, the biometric information of different types can also be obtained by sensing and analyzing various sensing devices in the vehicle. For example, height information and weight information can be obtained by detecting the electric seat; for another example, age information and gender information can be obtained by collecting portrait information through an image sensor and performing appearance analysis and / or clothing analysis on the portrait information.

[0037] In one embodiment, the received remote control information may represent various information for controlling specific functions of the vehicle, which is sent from a device other than the vehicle (eg, a server, a mobile terminal, etc.) to the vehicle or a control device of the vehicle.

[0038] In one embodiment, see Figure 2, when the configuration determination factor includes the received remote control information, or when the subsequent preset condition includes determining that the remote control information corresponds to switching to the preset configuration strategy, the vehicle control method provided by this embodiment (for example, before step S1: the step of obtaining the configuration determination factor) may also include: step S11: obtaining the person-vehicle distance information; step S12: when the person-vehicle distance information meets the determination condition of the driving intention, obtaining the current user information corresponding to the person-vehicle distance information and the first user information of the last use of the vehicle; step S13: when the current user information is different from the first user information, sending a configuration change request to the mobile terminal corresponding to the current user information to remind the user of the mobile terminal to trigger the switching of the configured remote control information. In this way, the technical solution of this embodiment can determine that the user (for example, the owner of the vehicle or other relevant persons pre-bound to the vehicle) has the intention to drive when the user is close to the preset range of the vehicle, and remind the user through the mobile terminal to remotely switch to the preset configuration strategy corresponding to the user when the vehicle was used for others last time, so that the quick recovery function can be configured for the owner of the vehicle and other relevant persons pre-bound to the vehicle. Therefore, the technical solution of this embodiment can configure the vehicle in advance through the remote control function to avoid waiting before getting on the vehicle, or avoid configuring it when getting on the vehicle, which affects the computing power of the vehicle's control device, thereby improving the driving experience.

[0039] In one embodiment, the person-vehicle distance information includes information such as the relative distance between the person and the vehicle and the moving direction.

[0040] In one implementation, the step of obtaining the person-vehicle distance information may include at least one of the following: Detecting nearby associated mobile terminals through short-range communication technology, and when an associated mobile terminal is detected, using preset user information corresponding to the associated mobile terminal as current user information, and obtaining person-vehicle distance information; The information of people outside the vehicle is detected by a camera device installed on the vehicle. When the information of people outside the vehicle matches the preset user information, the preset user information is used as the current user information, and the person-vehicle distance information is obtained.

[0041] In one embodiment, the mobile terminal associated with the vehicle may be a mobile phone, a smart wearable device (such as a smart watch, a smart bracelet, etc.) or a smart car key, etc.

[0042] In one embodiment, the manner of associating the mobile terminal with the vehicle may be a user account association manner or a communication connection association manner.

[0043] In one embodiment, the determination conditions of driving intention include but are not limited to at least one of the following: Determining that the relative distance between the person and the vehicle is less than a preset distance; Determine the preset range of the vehicle that the person has entered; It is determined that the moving direction corresponds to the position of the host vehicle.

[0044] In this way, the technical solution of this embodiment can accurately identify the driving intention and avoid accidental triggering of subsequent operations.

[0045] In one embodiment, after the mobile terminal corresponding to the current user information receives a configuration change request, a reminder operation can be performed, for example, a prompt message of the configuration switch is displayed through the display interface of the mobile phone; for example, the smart car key vibrates to remind, and / or the reminder light of the corresponding function button is turned on.

[0046] In one embodiment, the mobile terminal corresponding to the current user information performs a reminder operation, and after receiving the user's configuration switching operation, sends remote control information for switching the configuration to the vehicle or the control device of the vehicle.

[0047] Step S2: In response to the configuration determination factor meeting the preset condition, a preset configuration strategy is used as a target configuration strategy.

[0048] In one embodiment, the configuration strategy may represent configuration information of fixed parameters or configuration information of control rules for one or more specific functions in the vehicle.

[0049] In one embodiment, the fixed parameter configuration information may represent configuration information for configuring fixed parameters for specific functions, such as configuration information for adjusting the back height of a seat back height adjustment function of an electric seat to a preset height; for another example, configuration information for adjusting the front and rear distance of a front and rear distance adjustment function of an electric seat to a preset distance; for another example, configuration information for adjusting the braking mode of a braking function of a vehicle to a specific mode (e.g., comfort mode, standard mode, or sport mode, etc.); for another example, configuration information for adjusting the steering mode of a steering function of a vehicle to a specific mode (e.g., comfort mode, standard mode, or sport mode, etc.); for another example, configuration information for adjusting the power recovery mode of a driving power function of a vehicle to a specific mode (e.g., strong energy recovery, standard energy recovery, or weak energy recovery, etc.); for another example, configuration information for adjusting the power mode of a driving power function of a vehicle to a specific mode (e.g., comfort mode, standard mode, or sport mode, etc.); for another example, configuration information for adjusting the light color and / or projected light and shadow form of a welcome light function of a vehicle to a preset color and / or preset light and shadow form.

[0050] In one embodiment, the configuration information of the control rules may represent the configuration information for adjusting parameters of specific functions based on changes in the vehicle environment and preset rules. For example, the configuration information of the control rules of the air conditioning function of the vehicle: when the perceived temperature in the vehicle predicted based on the temperature difference between the inside and outside of the vehicle is greater than the first calibration temperature, the air conditioning function operates with the first parameter information; when the perceived temperature in the vehicle predicted based on the temperature difference between the inside and outside of the vehicle is less than the second calibration temperature, the air conditioning function operates with the second parameter information; when the perceived temperature in the vehicle predicted based on the temperature difference between the inside and outside of the vehicle is greater than the second calibration temperature and less than the first calibration temperature, the air conditioning function operates with the third parameter information; for another example, the configuration information of the control rules of the driving power function of the vehicle: based on the first road condition information (such as a flat and open road and / or a highway, etc.), the power mode of the driving power function is configured as a sports mode; based on the second road condition information (such as a low-lying road and / or a rural road, etc.), the power mode of the driving power function is configured as a comfort mode or a standard mode.

[0051] In one embodiment, the configuration information of the control rules can make the vehicle configuration more intelligent and improve the driving experience.

[0052] In one embodiment, the configuration information can be divided into driving configuration information and vehicle environment configuration information. The driving configuration information can represent the configuration information of functions related to driving control, such as driving power function, braking function, steering function, and functions related to the electric seat of the main cockpit. The vehicle environment configuration information can represent the configuration information of functions related to the driving environment setting, such as the scene mode function, fragrance function, welcome light function, multimedia function, air conditioning function, window function, sunroof / skylight function, seat heating function, etc.

[0053] In the vehicle control method provided in this embodiment, the configuration strategy can be pre-set and stored (i.e., the preset configuration strategy is obtained) according to the habits and preferences of the preset user. Optionally, the preset configuration strategy in the vehicle can be stored in association with the preset user, so that when the current driver is identified as the preset user, the preset configuration strategy stored in association can be directly called to perform personalized configuration on the vehicle. Optionally, specific physical function buttons or virtual function buttons can be set in the vehicle to bind with the preset configuration strategy, so that when the physical function buttons or virtual function buttons are operated, the vehicle can be directly configured in a personalized manner with the bound preset configuration strategy.

[0054] In one embodiment, the preset configuration strategy can be automatically generated after collecting and memorizing the long-term configuration record information of the preset user and performing statistical analysis on the configuration record information. In this way, the technical solution of this embodiment can learn the user's habits and preferences based on the long-term configuration record information of the preset user to automatically set the configuration strategy and store it in association with the preset user.

[0055] In one embodiment, the preset configuration strategy may also be generated by the vehicle providing a configuration operation interface and receiving a configuration operation of the user. In this way, the technical solution of this embodiment may obtain and store the preset configuration strategy in a manual configuration manner.

[0056] In one embodiment, the preset conditions include, but are not limited to, at least one of the following: Determining that the operation information corresponds to a preset operation of selecting a preset configuration strategy; Determine that the biometric information is stored in association with a preset configuration policy; determining that the remote control information corresponds to switching to a preset configuration strategy; Determining whether the current time information corresponds to a configuration time of a preset configuration strategy; It is determined whether the current parking location information corresponds to a configuration start location of a preset configuration strategy.

[0057] In one embodiment, corresponding to a preset operation of selecting a preset configuration strategy, for example, a function button of the owner mode in the operation interface of the vehicle computer is clicked to select the preset configuration strategy corresponding to the owner mode; for another example, a function button of the memory function on the electric seat in the vehicle cockpit is pressed to select the preset configuration strategy corresponding to the owner mode.

[0058] In one embodiment, it is determined that the biometric information is stored in association with a preset configuration policy. For example, if the currently detected biometric information matches the preset biometric information, and the preset biometric information matches the preset configuration policy, then it is determined that the currently detected biometric information is stored in association with the preset configuration policy.

[0059] In one embodiment, when it is determined that the current time information corresponds to the configuration time information of the preset configuration strategy, the preset configuration strategy is selected as the target configuration strategy. In this way, the technical solution of this embodiment can automatically select the preset configuration strategy corresponding to the current time as the target configuration strategy according to the change of time when multiple drivers set different times to use the same vehicle, so as to facilitate the subsequent convenient and different personalized configurations according to the change of time to adapt to the habits and preferences of the drivers using the vehicle at the current time. For example, the configuration time information corresponding to Zhang San's preset configuration strategy corresponds to 8 o'clock in the morning, and the configuration time information corresponding to Li Si's preset configuration strategy corresponds to 18:30 in the evening. Then, when the current time is 8 o'clock in the morning, the vehicle uses Zhang San's preset configuration strategy as the target configuration strategy, or when the current time is 18:30 in the evening, the vehicle uses Li Si's preset configuration strategy as the target configuration strategy.

[0060] In one implementation, this embodiment may store the set configuration time information in association with a preset configuration policy.

[0061] In one implementation, the current time information includes but is not limited to at least one of a specific month, a specific date, a specific time point, time range information, and the like.

[0062] In one embodiment, when it is determined that the current parking location information corresponds to the configuration start location of the preset configuration strategy, the preset configuration strategy is selected as the target configuration strategy. In this way, the technical solution of this embodiment can automatically select the preset configuration strategy corresponding to the current parking location as the target configuration strategy when multiple drivers set different parking locations to hand over and use the same vehicle, so as to facilitate different personalized configurations to be performed according to the current parking location in the future, so as to adapt to the habits and preferences of the drivers who hand over and use the vehicle at the current parking location.

[0063] In one implementation, this embodiment may store the set configuration start location in association with a preset configuration strategy.

[0064] Step S3: Personalize the vehicle according to the target configuration strategy.

[0065] In one embodiment, the vehicle control method provided in this embodiment (for example, step S3: after personalizing the vehicle according to the target configuration strategy) may also include: in response to receiving an activation operation corresponding to the big data recommendation function, determining a new target configuration strategy according to biometric information and big data, and executing step S3: personalizing the vehicle according to the target configuration strategy.

[0066] In one embodiment, the operation corresponding to starting the big data recommendation function is, for example, a click operation on a function button of the big data recommendation function in the operation interface of the vehicle computer; or, for another example, a press operation on a function button of the big data recommendation function on an electric seat in the vehicle cockpit.

[0067] In one embodiment, the step of determining a new target configuration strategy based on biometric information (e.g., categorized biometric information) and big data includes one of the following: Based on the biometric information, searching a first recommended configuration strategy matching the biometric information from a driving configuration library as a new target configuration strategy, wherein the driving configuration library is obtained by analyzing and processing the big data of the correspondence relationship between the collected biometrics and the configuration strategy; The biometric information is imported into a pre-built configuration matching model to obtain a recommended configuration strategy, and the recommended configuration strategy is used as a new target configuration strategy, wherein the configuration matching model is trained based on a large data set of biometric-configuration strategy correspondences.

[0068] In one embodiment, the driving configuration library includes the correspondence between the biometric information of different types and the recommended configuration strategy, and the correspondence between the biometric information of different types combined with other configuration influencing factors and the recommended configuration strategy. Optionally, the other configuration influencing factors include at least one of the driving style, the configuration information that has been manually adjusted, etc.

[0069] In one embodiment, the driving configuration library can be automatically updated according to the update of big data.

[0070] In one embodiment, the driving configuration library includes a correspondence between the classified biometric information and the recommended configuration strategy, for example: male, corresponds to the first recommended configuration strategy with the highest frequency of use by males in big data, etc.; male, young age group, corresponds to the second recommended configuration strategy with the highest frequency of use by young males in big data.

[0071] In one embodiment, in big data, gender and age information are usually strong related factors affecting the driving configuration information in the configuration strategy. In big data, height information and weight information are usually strong related factors affecting the parameters of the electric seat in the vehicle environment configuration information in the configuration strategy.

[0072] In one implementation, the big data set of correspondence between biometric features and configuration strategies may be obtained by screening and processing big data related to vehicle configuration.

[0073] The technical solution of this embodiment can realize the fuzzy matching function of the configuration strategy through the driving configuration library or the pre-built configuration matching model, so as to predict the habits and preferences of the current driver through the classified biometric information, so as to recommend the configuration strategy suitable for the current driver, thereby conveniently performing personalized settings.

[0074] In one embodiment, the more biometric features the classified biometric feature information contains, the more accurately the current driver's habits and preferences can be predicted, thereby recommending a more appropriate configuration strategy for the current driver.

[0075] In one embodiment, the preset configuration strategy is different from the configuration strategy determined based on biometric information and big data. The preset configuration strategy may be specific, and it can directly correspond to a specific preset operation, a specific preset user, a specific identification type biometric information, and a specific remote control information (or remote control instruction). The configuration strategy determined based on biometric information and big data is open to a certain extent, and it needs to be matched based on one or more biometric features in unspecified biometric information (such as categorized biometric information) using big data analysis technology.

[0076] In one embodiment, step S3: after the vehicle is personalized according to the target configuration strategy, it can include: detecting adjustment information of the vehicle configuration when the vehicle is used; searching for a second recommended configuration strategy that matches the biometric information and the adjustment information from a driving configuration library; updating the target configuration strategy according to the second recommended configuration strategy, and returning to the step of personalizing the vehicle according to the target configuration strategy.

[0077] In one implementation, the adjustment information may represent configuration information that has completed manual adjustment.

[0078] The technical solution of this embodiment is that after completing the initial personalized configuration, if the current driver manually makes a secondary adjustment to part of the configuration, a more accurate form-based search can be performed from the driving configuration library based on the adjustment information corresponding to the secondary adjustment combined with the classified biometric information to obtain a recommended configuration strategy that is more closely matched with the current driver's habits and preferences, thereby re-optimizing the initial personalized configuration (that is, other functions except the functions corresponding to the adjustment information can be re-optimized).

[0079] In one embodiment, step S3: after the vehicle is personalized according to the target configuration strategy, it may include: detecting the driving data of the vehicle and determining the corresponding driving style; obtaining recommended driving configuration information according to the driving style; updating the driving configuration information in the target configuration strategy according to the recommended driving configuration information to obtain an updated target configuration strategy, and returning to the step of personalized configuring the vehicle according to the target configuration strategy.

[0080] In one embodiment, the driving data includes at least one of braking intensity, braking frequency, instantaneous vehicle speed, etc.

[0081] In one embodiment, the driving style includes one of smooth driving, aggressive driving, and the like.

[0082] In one embodiment, the recommended driving configuration information may represent configuration information of functions related to driving control, such as configuration information of one or more of a driving power function, a braking function, a steering function, and the like.

[0083] The technical solution of this embodiment can determine the corresponding driving style according to the current driver's driving data, thereby obtaining recommended driving configuration information based on the driving style, and after updating the driving configuration information in the target configuration strategy to the recommended driving configuration information, the vehicle is personalized again to more accurately adapt to the current driver's driving control habits and improve user experience.

[0084] The vehicle control method provided in this embodiment includes the following steps (e.g., steps S1 to S3): Step S1: Acquire configuration determination factors, the configuration determination factors include at least one of operation information, biometric information, and received remote control information; Step S2: In response to the configuration determination factors meeting the preset conditions, select the preset configuration strategy as the target configuration strategy; Step S3: Personalize the vehicle according to the target configuration strategy. In this way, the technical solution of the present application can directly select the preset configuration strategy in the vehicle to conveniently perform personalized settings to adapt to the current driver's habits and preferences. Further, when the current driver has a big data recommendation demand for configuration strategies, the technical solution of this embodiment can predict the current driver's habits and preferences based on the big data recommendation technology combined with the current driver's biometric information to recommend a new configuration strategy that adapts to the current driver, thereby realizing convenient personalized settings changes. Therefore, the technical solution of the present application can realize the configuration strategy matching function, conveniently match the appropriate configuration strategy for the driver to personalize the vehicle, and improve the driving experience.

[0085] Based on the same inventive concept as the above embodiments, this embodiment describes the above embodiments in detail by taking a specific application scenario as an example. See also Figure 3 In this example, the function of the owner mode is added to the vehicle, and the owner mode is associated with the memory custom mode (i.e., the preset configuration strategy). The memory custom mode includes the preset braking mode (sports), the preset steering mode (standard), the preset driving mode (including the preset power mode-standard, the preset power recovery mode-weak energy recovery), and the preset seat adjustment state (owner mode).

[0086] (1) Add a physical function button for the owner mode to the multiple memory mode buttons of the electric seat. Clicking the physical function button will personalize the seat according to the preset braking mode (sport), preset steering mode (standard), preset driving mode (including preset power mode-standard, preset power recovery mode-weak energy recovery), and preset seat adjustment state (owner mode). This will enable personalized configuration with one click, saving the owner time in adjusting multiple function modes.

[0087] (2) Add a virtual function button for the owner mode on the control interface of the vehicle computer. Clicking the virtual function button will enable personalized configuration according to the preset braking mode (sport), preset steering mode (standard), preset driving mode (including preset power mode - standard, preset power recovery mode - weak energy recovery), and preset seat adjustment configuration (owner mode). This will enable personalized configuration with one click, saving the owner time in adjusting multiple function modes.

[0088] The owner mode in this example can correspond to a memory custom mode that sets specific modes including braking, power, power energy recovery, steering, and electric steering wheel adjustment functions. Using the owner mode can quickly adapt to the owner's car usage habits and preferences, and perform one-click personalized configuration, eliminating the need for multiple manual configurations, so it can achieve convenient configuration functions and enhance the driving experience.

[0089] The setting method of the owner mode in this example can effectively solve the problem of the original owner resetting the braking mode, driving mode, steering mode and electric steering wheel adjustment function after changing the driver, so that the original owner can complete the personalized configuration faster and improve the driving experience.

[0090] Based on the same inventive concept as the above embodiments, the present application embodiment provides a control device, such as Figure 4 As shown, the device includes: a processor 310 and a memory 311 storing a computer program; wherein, Figure 4 The processor 310 shown in the figure is not used to indicate that the number of the processor 310 is one, but is only used to indicate the positional relationship of the processor 310 relative to other devices. In actual applications, the number of the processor 310 may be one or more; similarly, Figure 4 The memory 311 shown in the figure has the same meaning, that is, it is only used to refer to the position relationship of the memory 311 relative to other devices. In practical applications, the number of memories 311 can be one or more. When the processor 310 runs the computer program, the control method of the vehicle applied to the above device is implemented, for example, see Figure 1 Step S1: acquiring configuration determination factors, the configuration determination factors including at least one of operation information, biometric information, and received remote control information; step S2: in response to the configuration determination factors meeting preset conditions, selecting a preset configuration strategy as a target configuration strategy; step S3: performing personalized configuration on the vehicle according to the target configuration strategy.

[0091] The device may also include: at least one network interface 312. The various components in the device are coupled together via a bus system 313. It is understood that the bus system 313 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 313 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, Figure 4 Various buses are labeled as bus system 313.

[0092] The memory 311 may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. The non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic random access memory (FRAM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM); the magnetic surface memory may be a disk memory or a tape memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM, SyncLink Dynamic Random Access Memory), and direct RAMbus random access memory (DRRAM, Direct Rambus Random Access Memory).The memory 311 described in the embodiments of the present application is intended to include but is not limited to these and any other suitable types of memories.

[0093] The memory 311 in the embodiment of the present application is used to store various types of data to support the operation of the device. Examples of these data include: any computer program used to operate on the device, such as an operating system and an application program. Among them, the operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., which are used to implement various basic services and handle hardware-based tasks. The application program may include various applications, such as a media player (MediaPlayer), a browser (Browser), etc., which are used to implement various application services. Here, the program that implements the method of the embodiment of the present application may be included in the application program.

[0094] The control device provided in this embodiment can select the preset configuration strategy in the vehicle to conveniently perform personalized settings to adapt to the current driver's habits and preferences. Furthermore, when the current driver has a big data recommendation demand for configuration strategies, the control device provided in this embodiment can predict the current driver's habits and preferences based on big data recommendation technology combined with the current driver's biometric information to recommend a new configuration strategy that is suitable for the current driver, thereby enabling convenient personalized setting changes. Therefore, the control device provided in this embodiment can implement a configuration strategy matching function, conveniently match the appropriate configuration strategy for the driver to personalize the vehicle, and can be applied to the vehicle to enhance the driving experience.

[0095] Based on the same inventive concept as the above-mentioned embodiment, this embodiment also provides a vehicle, which is equipped with the above-mentioned control device. In this way, the vehicle provided by this embodiment can select the preset configuration strategy in itself to conveniently perform personalized settings to adapt to the habits and preferences of the current driver. Further, when the current driver has a big data recommendation demand for configuration strategies, the vehicle provided by this embodiment can predict the habits and preferences of the current driver based on the big data recommendation technology combined with the current driver's biometric information to recommend a new configuration strategy adapted to the current driver, so as to realize convenient personalized setting changes. Therefore, the vehicle provided by this embodiment can realize the configuration strategy matching function, conveniently match the appropriate configuration strategy for the driver to personalize the vehicle and improve the driving experience.

[0096] Based on the same inventive concept as the above-mentioned embodiment, this embodiment further provides a computer-readable storage medium, in which a computer program is stored. The computer-readable storage medium may be a ferromagnetic random access memory (FRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM); it may also be various devices including one or any combination of the above-mentioned memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant, etc. When the computer program stored in the computer-readable storage medium is executed by the processor, the above-mentioned vehicle control method is implemented. For the specific steps implemented when the computer program is executed by the processor, please refer to Figure 1 The control method of the vehicle shown, for example, see Figure 1 Step S1: acquiring configuration determination factors, the configuration determination factors including at least one of operation information, biometric information, and received remote control information; step S2: in response to the configuration determination factors meeting preset conditions, selecting a preset configuration strategy as a target configuration strategy; step S3: performing personalized configuration on the vehicle according to the target configuration strategy.

[0097] When the computer program in the computer-readable storage medium provided in this embodiment is executed by the processor, it can realize the selection of the preset configuration strategy in the vehicle to conveniently perform personalized settings to adapt to the habits and preferences of the current driver. Further, when the computer program in the computer-readable storage medium provided in this embodiment is executed by the processor, when the current driver has a big data recommendation demand for configuration strategies, it can be based on the big data recommendation technology combined with the current driver's biometric information to predict the current driver's habits and preferences to recommend a new configuration strategy adapted to the current driver, so that convenient personalized settings can be changed. Therefore, when the computer program in the computer-readable storage medium provided in this embodiment is executed by the processor, it can realize the configuration strategy matching function, conveniently match the appropriate configuration strategy for the driver to personalize the vehicle, and can be applied to the vehicle to improve the driving experience.

[0098] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0099] In this document, the terms "comprises," "comprising," or any other variations thereof, are intended to cover a non-exclusive inclusion of elements other than those listed and may also include additional elements not expressly listed.

[0100] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A vehicle control method, characterized in that: include: Acquiring a configuration determination factor, the configuration determination factor comprising at least one of operation information, biometric information, and received remote control information; In response to the configuration determination factor meeting a preset condition, taking a preset configuration strategy as a target configuration strategy; The vehicle is personalized according to the target configuration strategy.

2. The method according to claim 1, characterized in that: The preset conditions include at least one of the following: determining that the operation information corresponds to a preset operation of selecting a preset configuration strategy; Determining that the biometric information is stored in association with a preset configuration strategy; It is determined that the remote control information corresponds to switching to a preset configuration strategy.

3. The method according to claim 2, characterized in that The preset condition includes determining that the remote control information corresponds to switching to a preset configuration strategy, before the step of obtaining the configuration determination factor, including: Get person-vehicle distance information; When the person-vehicle distance information meets the determination condition of driving intention, obtaining the current user information corresponding to the person-vehicle distance information and the first user information of the last use of the vehicle; When the current user information is different from the first user information, a configuration change request is sent to the mobile terminal corresponding to the current user information to remind the user of the mobile terminal to trigger the remote control information of the switch configuration.

4. The method according to claim 1, characterized in that: Also includes: In response to receiving an activation operation corresponding to a big data recommendation function, a new target configuration strategy is determined according to the biometric information and the big data, and the step of performing personalized configuration of the vehicle according to the target configuration strategy is performed.

5. The method according to claim 4, characterized in that The step of determining a new target configuration strategy based on the biometric information and big data includes one of the following: Based on the biometric information, searching a driving configuration library for a first recommended configuration strategy that matches the biometric information as the new target configuration strategy, wherein the driving configuration library is obtained by analyzing and processing the collected big data of the correspondence between the biometrics and the configuration strategies; The biometric information is imported into a pre-built configuration matching model to obtain a recommended configuration strategy, and the recommended configuration strategy is used as the new target configuration strategy, wherein the configuration matching model is trained based on a large data set of biometric-configuration strategy correspondences.

6. The method according to claim 5, characterized in that After the step of performing personalized configuration on the vehicle according to the target configuration strategy, the method further comprises: Detect the adjustment information of vehicle configuration when using the vehicle; searching, from the driving configuration library, a second recommended configuration strategy that matches the biometric information and the adjustment information; The target configuration strategy is updated according to the second recommended configuration strategy, and the process returns to the step of performing personalized configuration of the vehicle according to the target configuration strategy.

7. The method according to claim 5, characterized in that After the step of performing personalized configuration on the vehicle according to the target configuration strategy, the method further comprises: detecting driving data of the vehicle and determining a corresponding driving style; obtaining recommended driving configuration information according to the driving style; According to the recommended driving configuration information, the driving configuration information in the target configuration strategy is updated to obtain an updated target configuration strategy, and the step of performing personalized configuration of the vehicle according to the target configuration strategy is returned.

8. A control device, characterized in that: include: A processor and a memory storing a computer program, wherein when the processor runs the computer program, the steps of the vehicle control method according to any one of claims 1 to 7 are implemented.

9. A vehicle, characterized in that: The control device according to claim 8 is provided.

10. A computer-readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the steps of the vehicle control method according to any one of claims 1 to 7 are implemented.

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