CN114475609A - Method, device and storage medium for adjusting vehicle driving mode - Google Patents
Method, device and storage medium for adjusting vehicle driving mode Download PDFInfo
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- CN114475609A CN114475609A CN202210066999.4A CN202210066999A CN114475609A CN 114475609 A CN114475609 A CN 114475609A CN 202210066999 A CN202210066999 A CN 202210066999A CN 114475609 A CN114475609 A CN 114475609A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
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- B60W30/182—Selecting between different operative modes, e.g. comfort and performance modes
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Abstract
The embodiment of the application discloses a method, a device and a storage medium for adjusting a vehicle driving mode, and belongs to the technical field of automotive electronics. The method comprises the following steps: travel data of a vehicle is acquired, the travel data indicating a state of the vehicle and/or a driver in the vehicle during travel of the vehicle. Based on the travel data, a driving mode of the vehicle is controlled. The scheme in the embodiment of the application only collects the driving data of the vehicle based on the vehicle and intelligently adjusts the driving mode of the vehicle based on the driving data, so that the vehicle can intelligently adjust the driving mode of the vehicle without increasing the operation of a driver. Moreover, compared with a scheme that a driver needs to manually adjust the driving mode, the scheme of the embodiment of the application has no potential safety hazard.
Description
Technical Field
The embodiment of the application relates to the technical field of automotive electronics, in particular to a method and a device for adjusting a vehicle driving mode and a storage medium.
Background
With the continuous development of scientific technology, a vehicle usually supports multiple driving modes to adapt to different driving conditions, such as a "power driving mode", an "economic driving mode", a "sand driving mode", and the like, and a driver can adjust the driving modes of the vehicle according to the current driving conditions.
However, during actual driving, such as when the vehicle goes from a sand ground to a cement ground, the driver needs to manually click the driving mode adjustment button to adjust the sand driving mode to the comfortable driving mode, which will certainly increase the operation of the driver, and furthermore, during driving the vehicle, there is a certain safety risk in manually adjusting the driving mode.
Disclosure of Invention
The embodiment of the application provides a method and a device for adjusting a vehicle driving mode and a storage medium, and can solve the problem that potential safety hazards exist when the driving mode is manually adjusted. The technical scheme is as follows:
in one aspect, a method of adjusting a driving mode of a vehicle is provided, the method comprising:
acquiring driving data of a vehicle, wherein the driving data indicates the state of the vehicle and/or a driver in the vehicle during driving of the vehicle;
controlling a driving mode of the vehicle based on the travel data.
Optionally, the driving mode comprises an engine operating mode of the vehicle, the vehicle is configured with a plurality of engine operating modes, and the operating power of the engine of the vehicle is different in different engine operating modes;
the controlling a driving mode of the vehicle based on the travel data includes:
selecting a target engine operation mode matching the travel data from the plurality of engine operation modes;
and controlling an engine of the vehicle to work based on the working power corresponding to the target engine working mode.
Optionally, the driving data includes one or more of an intake air amount collected by a throttle position sensor on the vehicle, a vehicle driving speed collected by a vehicle speed sensor on the vehicle, a vehicle driving acceleration collected by an acceleration sensor on the vehicle, and a roof height collected by a height sensor on the vehicle, and each of the plurality of engine operation modes corresponds to an intake air amount interval, a driving speed interval, a driving acceleration region, and a roof height interval;
in the case where the running data includes an intake air amount collected by a throttle position sensor on the vehicle, the intake air amount collected by the throttle position sensor is in an intake air amount section corresponding to the target engine operation mode;
under the condition that the running data comprises a vehicle running speed acquired by a vehicle speed sensor on the vehicle, the vehicle running speed acquired by the vehicle speed sensor is in a running speed interval corresponding to the target engine working mode;
under the condition that the running data comprises vehicle running acceleration collected by an acceleration sensor on the vehicle, the vehicle running acceleration collected by the acceleration sensor is in a running acceleration interval corresponding to the target engine working mode;
and in the case that the running data includes a roof height acquired by a height sensor on the vehicle, the roof height acquired by the height sensor is in a roof height interval corresponding to the target engine operating mode.
Optionally, the driving mode includes a steering wheel operation mode of the vehicle, the vehicle is configured with a plurality of steering wheel operation modes, the rotational friction coefficients of the steering wheel of the vehicle in different steering wheel operation modes are different, and the driving data includes the rotational angular speed of the steering wheel collected by a steering wheel angle sensor on the vehicle;
the controlling a driving mode of the vehicle based on the travel data includes:
selecting a target steering wheel operation mode matched with the rotation angular velocity from the plurality of steering wheel operation modes;
and controlling the steering wheel of the vehicle to work based on the rotating friction coefficient corresponding to the target steering wheel working mode.
Optionally, the driving mode comprises one or more of a fragrance operating mode, an atmosphere lamp operating mode, and a sound operating mode of the vehicle, and the driving data comprises a facial image of the driver captured by a vision sensor on the vehicle;
the controlling a driving mode of the vehicle based on the travel data includes:
determining whether the driver is in a fatigue driving state based on the face image;
and if the driver is in a fatigue driving state, adjusting the working mode of the vehicle to be a target working mode, and/or adjusting the working mode of the vehicle atmosphere lamp to be a target working mode, and/or adjusting the working mode of the vehicle sound to be a target sound working mode.
Optionally, each engine operating mode of the plurality of engine operating modes corresponds to a steering wheel operating mode, and/or a fragrance operating mode, and/or an mood light operating mode, and/or a sound operating mode;
after the selecting of the target engine operation mode matching the travel data from the plurality of engine operation modes, the method further includes:
determining a target steering wheel working mode and/or a target fragrance working mode and/or a target atmosphere lamp working mode and/or a target sound working mode corresponding to the target engine working mode;
and controlling the vehicle to work according to the target steering wheel working mode, the target fragrance working mode, the target atmosphere lamp working mode and the target sound working mode.
In another aspect, there is provided an apparatus for adjusting a driving mode of a vehicle, the apparatus including:
an acquisition module for acquiring driving data of a vehicle, the driving data indicating a state of the vehicle and/or a driver in the vehicle during driving of the vehicle;
a control module to control a driving mode of the vehicle based on the travel data.
Optionally, the driving mode comprises an engine operating mode of the vehicle, the vehicle is configured with a plurality of engine operating modes, and the operating power of the engine of the vehicle is different in different engine operating modes;
the control module includes:
a selection submodule for selecting a target engine operation mode matching the travel data from the plurality of engine operation modes;
and the first control submodule is used for controlling an engine of the vehicle to work based on the working power corresponding to the target engine working mode.
Optionally, the driving data includes one or more of an intake air amount collected by a throttle position sensor on the vehicle, a vehicle driving speed collected by a vehicle speed sensor on the vehicle, a vehicle driving acceleration collected by an acceleration sensor on the vehicle, and a roof height collected by a height sensor on the vehicle, and each of the plurality of engine operation modes corresponds to an intake air amount interval, a driving speed interval, a driving acceleration region, and a roof height interval;
in the case where the running data includes an intake air amount collected by a throttle position sensor on the vehicle, the intake air amount collected by the throttle position sensor is in an intake air amount section corresponding to the target engine operation mode;
under the condition that the running data comprises a vehicle running speed acquired by a vehicle speed sensor on the vehicle, the vehicle running speed acquired by the vehicle speed sensor is in a running speed interval corresponding to the target engine working mode;
under the condition that the running data comprises vehicle running acceleration collected by an acceleration sensor on the vehicle, the vehicle running acceleration collected by the acceleration sensor is in a running acceleration interval corresponding to the target engine working mode;
and in the case that the running data includes a roof height acquired by a height sensor on the vehicle, the roof height acquired by the height sensor is in a roof height interval corresponding to the target engine operating mode.
Optionally, the driving mode includes a steering wheel operation mode of the vehicle, the vehicle is configured with a plurality of steering wheel operation modes, the rotational friction coefficients of the steering wheel of the vehicle in different steering wheel operation modes are different, and the driving data includes the rotational angular speed of the steering wheel collected by a steering wheel angle sensor on the vehicle;
the control module is configured to:
selecting a target steering wheel operation mode matched with the rotation angular velocity from the plurality of steering wheel operation modes;
and controlling the steering wheel of the vehicle to work based on the rotating friction coefficient corresponding to the target steering wheel working mode.
Optionally, the driving mode comprises one or more of a fragrance operating mode, an atmosphere lamp operating mode, and a sound operating mode of the vehicle, and the driving data comprises a facial image of the driver captured by a vision sensor on the vehicle;
the control module is configured to:
determining whether the driver is in a fatigue driving state based on the face image;
and if the driver is in a fatigue driving state, adjusting the working mode of the vehicle to be a target working mode, and/or adjusting the working mode of the vehicle atmosphere lamp to be a target working mode, and/or adjusting the working mode of the vehicle sound to be a target sound working mode.
Optionally, each engine operating mode in the plurality of engine operating modes corresponds to a steering wheel operating mode, and/or a fragrance operating mode, and/or an atmosphere lamp operating mode, and/or a sound operating mode;
the control module further comprises:
the determining submodule is used for determining a target steering wheel working mode, a target fragrance working mode, a target atmosphere lamp working mode and a target sound working mode corresponding to the target engine working mode;
and the second control submodule is used for controlling the vehicle to work according to the target steering wheel working mode, the target fragrance working mode, the target atmosphere lamp working mode and the target sound working mode.
In another aspect, there is provided an apparatus for adjusting a driving mode of a vehicle, the apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform any of the steps of the above-described method of adjusting a driving mode of a vehicle.
In another aspect, a computer-readable storage medium is provided, having instructions stored thereon, which when executed by a processor, implement any of the above-described methods of adjusting a driving mode of a vehicle.
In another aspect, a computer program product comprising instructions which, when run on a computer, cause the computer to perform any of the steps of the above-described method of adjusting a driving mode of a vehicle is provided.
The technical scheme provided by the embodiment of the application can at least bring the following beneficial effects:
in the embodiment of the present application, travel data of a vehicle, which indicates a state of the vehicle and/or a state of a driver in the vehicle during travel of the vehicle, is first acquired. And controlling a driving mode of the vehicle based on the travel data so that the vehicle operates based on the driving mode. The scheme in the embodiment of the application only collects the driving data of the vehicle based on the vehicle and intelligently adjusts the driving mode of the vehicle based on the driving data, so that the vehicle can intelligently adjust the driving mode of the vehicle without increasing the operation of a driver. Moreover, compared with a scheme that a driver needs to manually adjust the driving mode, the scheme of the embodiment of the application has no potential safety hazard.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic illustration of an implementation environment provided by an embodiment of the present application;
FIG. 2 is a flow chart of a method for adjusting a driving mode of a vehicle according to an embodiment of the present application;
FIG. 3 is a schematic diagram illustrating logic control of a vehicle driving mode provided by an embodiment of the present application;
FIG. 4 is a schematic structural diagram of an apparatus for adjusting a driving mode of a vehicle according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present application more clear, the embodiments of the present application will be further described in detail with reference to the accompanying drawings.
Before explaining the method for adjusting the driving mode of the vehicle provided by the embodiment of the present application in detail, an application scenario and an implementation environment provided by the embodiment of the present application are introduced.
Typically, the driving mode of the vehicle includes an engine operating mode and/or a steering wheel operating mode of the vehicle. The engine working power of the vehicle is different under different engine working modes, and the rotating friction coefficient of the steering wheel of the vehicle is different under different steering wheel working modes. In this way, the driver can drive the vehicle in different driving modes, so that the vehicle can meet the requirements of the driver better.
In order to improve the comfort of the vehicle, there are also various vehicle driving modes for adjusting the mood of the driver, such as a fragrance operation mode, an atmosphere lamp operation mode, and an audio operation mode, which adjust the spatial atmosphere of the vehicle from the senses of taste, vision, and hearing, and provide a more comfortable driving environment for the driver.
However, the above-mentioned various driving modes of the vehicle require the driver to manually click the button to start or adjust the corresponding operating mode, but it is inconvenient for the driver to manually switch the operating modes of the vehicles while driving the vehicle, and most drivers do not start or adjust the operating modes of the vehicles while driving the vehicles, which may reduce the user experience of the vehicles. Moreover, in the process of driving the vehicle, there is a certain potential safety hazard when the driver manually adjusts the driving mode of the vehicle.
Therefore, the embodiment of the application provides a method for adjusting the driving mode of a vehicle, in the embodiment of the application, the driving data of the vehicle is collected through each component of the vehicle, and the driving mode of the vehicle can be intelligently adjusted based on the driving data.
Referring to FIG. 1, FIG. 1 is a schematic diagram illustrating an implementation environment in accordance with an example embodiment. The implementation environment includes a vehicle 101 and a terminal 102, and the vehicle 101 can be communicatively connected with the terminal 102. The communication connection may be a wired connection or a wireless connection, which is not limited in this embodiment of the present application.
The vehicle 101 includes a vehicle body, a throttle position sensor, a vehicle speed sensor, an acceleration sensor, a vehicle height sensor, a steering wheel angle sensor, a vision sensor, and the like. The throttle position sensor is used for acquiring running data such as the air intake amount of the vehicle. The vehicle speed sensor is used for acquiring running data such as the running speed of the vehicle. The acceleration sensor is used for acquiring running data such as running acceleration of the vehicle and indicating the vehicle state. The vehicle height sensor is used for collecting running data such as the height of a vehicle roof. The steering wheel angle sensor is used for acquiring running data such as the rotational angular speed of a steering wheel of a vehicle. The vision sensor is used for acquiring driving data such as a face image of a driver and indicating the state of the driver.
In some embodiments, the throttle position sensor may transmit the collected driving data such as the intake air amount to the terminal 102, the vehicle speed sensor may transmit the collected driving data such as the driving speed to the terminal 102, the acceleration sensor may transmit the collected driving data such as the driving acceleration to the terminal 102, the body height sensor may transmit the collected driving data such as the roof height to the terminal 102, the steering wheel angle sensor may transmit the collected driving data such as the rotational angular velocity of the steering wheel to the terminal 102, and the vision sensor may transmit the collected driving data such as the face image indicating the state of the driver to the terminal 102. The driving mode of the vehicle is controlled by the terminal 102 based on the travel data. Among them, the terminal 102 controls the specific operation of the driving mode of the vehicle based on the traveling data, which will be described in detail later.
Subsequently, the terminal 102 may send a vehicle driving mode adjustment request to the vehicle 101, where the vehicle driving mode adjustment request carries information that the driving mode of the vehicle needs to be adjusted. When the vehicle 101 receives the vehicle driving mode adjustment request, the driving mode of the vehicle is adjusted accordingly according to the information that the vehicle driving mode adjustment request carries the driving mode that needs to be adjusted.
Of course, each sensor of the vehicle can also directly send the acquired driving data of the vehicle to the vehicle host. The driving mode of the vehicle is controlled by the vehicle host machine based on the travel data. The vehicle host machine controls the specific operation of the driving mode of the vehicle based on the driving data, and the detailed description is given later.
The terminal 102 may be any electronic product capable of performing human-Computer interaction with a user through one or more modes such as a keyboard, a touch pad, a touch screen, a remote controller, voice interaction, or handwriting equipment, for example, a PC (Personal Computer), a mobile phone, a smart phone, a PDA (Personal Digital Assistant), a pocket PC (pocket PC), a tablet PC, and the like.
Those skilled in the art will appreciate that the vehicle 101 and the terminal 102 are merely examples, and other existing or future vehicles or terminals may be suitable for use in the embodiments of the present application and are included within the scope of the embodiments of the present application and are herein incorporated by reference.
The following provides a detailed explanation of the method for adjusting the driving mode of the vehicle according to the embodiment of the present application.
Fig. 2 is a flowchart of a method for adjusting a driving mode of a vehicle according to an embodiment of the present disclosure, and it should be noted that, as shown in the implementation environment shown in fig. 1, the method shown in fig. 2 may be applied to a terminal, and optionally, may also be applied to a host of the vehicle. Fig. 2 is an example of an application to a terminal, and please refer to fig. 2, the method includes the following steps.
Step 201: travel data of a vehicle is acquired, the travel data indicating a state of the vehicle and/or a driver in the vehicle during travel of the vehicle.
The method comprises the steps that a plurality of sensors arranged on a vehicle acquire running data indicating the state of the vehicle and/or the state of a driver in the vehicle in the running process of the vehicle, and the running data are sent to a terminal, so that the terminal obtains the running data of the vehicle.
In some embodiments, the driving data of the vehicle includes one or more of an intake air amount collected by a throttle position sensor on the vehicle, a vehicle driving speed collected by a vehicle speed sensor on the vehicle, a vehicle driving acceleration collected by an acceleration sensor on the vehicle, a roof height collected by a height sensor on the vehicle, a rotational angular velocity of a steering wheel collected by a steering wheel angle sensor on the vehicle, and a face image of a driver collected by a vision sensor on the vehicle.
The magnitude of the air intake quantity collected by the throttle position sensor can indicate the power magnitude of an engine of the vehicle during running, and the roof height value collected by the height sensor can indicate the road surface condition or the vibration condition of the vehicle during running.
For example, after the terminal obtains the roof height value of the vehicle at each time during the driving process, the roof height value at the current time may be compared with the roof height value before the current time, and if the obtained difference is less than or equal to the reference roof height difference, it is determined that the vehicle itself vibrates at the current time to cause the change in the roof height value. If the obtained difference is larger than the reference roof height difference, the change of the vehicle roof height value caused by the unevenness of the external road surface at the current time is considered. The reference roof height difference may be set in advance, and the embodiment of the present application is not limited thereto.
In this way, after the terminal obtains the travel data, the driving mode of the vehicle can be controlled based on step 202 described below.
Step 202: based on the travel data, a driving mode of the vehicle is controlled.
Based on the description in the application scenarios above, the driving mode of the vehicle includes one or more of an engine operating mode, a steering wheel operating mode, a fragrance operating mode, an atmosphere lamp operating mode, and a sound operating mode of the vehicle.
The following will be described in detail with respect to each of the operation modes included in the driving mode of the vehicle, respectively.
The working mode of the engine is as follows:
in a scenario where the driving mode of the vehicle includes an engine operating mode of the vehicle, the vehicle is configured with a plurality of engine operating modes, and the operating power of the engine of the vehicle is different in different engine operating modes. That is, different operating states of the vehicle may be achieved based on different powers of the engine.
For example, the engine operation modes may be classified into an economy operation mode, a power operation mode, a standard operation mode, and the like. The power output of the vehicle engine is gentle in the economical working mode, the gear shifting of the transmission is active, the power performance of the vehicle is reduced, the economical efficiency of the vehicle is increased, and the driving style of the whole vehicle is gentle and mild. The accelerator pedal is sensitive in a power type working mode, the transmission delays gear shifting, the power performance of the vehicle is improved, the economy is reduced, and the driving style of the whole vehicle tends to be fierce. And under the standard working mode, the dynamic property and the economical efficiency of the whole vehicle are considered, and the driving style of the whole vehicle is more conventional.
In some embodiments, the implementation process of step 202 may be: a target engine operation mode matching the travel data is selected from a plurality of engine operation modes, and the engine of the vehicle is controlled to operate based on an operation power corresponding to the target engine operation mode.
Among them, there may be two ways of selecting the target engine operation mode matching the running data from the plurality of engine operation modes.
In one possible implementation, each of the plurality of engine operation modes corresponds to an intake air amount interval, a travel speed interval, a travel acceleration region, and a roof height interval. In the case where the travel data includes the intake air amount collected by a throttle position sensor on the vehicle, the intake air amount collected by the throttle position sensor is in an intake air amount section corresponding to the target engine operation mode. And under the condition that the running data comprises the running speed of the vehicle collected by a vehicle speed sensor on the vehicle, the running speed of the vehicle collected by the vehicle speed sensor is in a running speed interval corresponding to the target engine working mode. In the case where the running data includes the vehicle running acceleration collected by the acceleration sensor on the vehicle, the vehicle running acceleration collected by the acceleration sensor is in a running acceleration section corresponding to the target engine operation mode. In the case where the travel data includes the roof height acquired by the height sensor on the vehicle, the roof height acquired by the height sensor is in the roof height section corresponding to the target engine operation mode.
That is, the engine operation mode may be obtained based on only one of the intake air amount, the vehicle running speed, the vehicle running acceleration, and the roof height in the running data, or may be obtained based on a plurality of the intake air amount, the vehicle running speed, the vehicle running acceleration, and the roof height in the running data, which is not limited in the embodiment of the present application.
Wherein, the intake air amount interval, the running speed interval, the running acceleration region and the roof height interval corresponding to each engine working mode are obtained by researching and developing big data in advance. Since the process of obtaining the intake air amount section, the travel speed section, the travel acceleration section, and the roof height section corresponding to each engine operation mode is the same, for any engine operation mode, the following method may be performed to obtain the intake air amount section, the travel speed section, the travel acceleration region, and the roof height section corresponding to each engine operation mode. Therefore, the following description will be given taking an example in which the intake air amount section corresponding to the first engine operation mode is obtained.
The implementation process for obtaining the intake air amount interval corresponding to the first engine operating mode may be as follows: and obtaining a plurality of corresponding air inflow values under the first engine working mode based on the big data, and clustering the obtained plurality of air inflow values to obtain an air inflow interval under the first engine working mode. The difference between the maximum intake air amount and the minimum intake air amount in the intake air amount interval does not exceed the reference intake air amount difference, and the reference intake air amount difference can be set in advance, which is not limited in the embodiment of the present application.
After obtaining the intake air amount interval, the running speed interval, the running acceleration area and the roof height interval corresponding to each working mode, the terminal can determine the engine working mode of the vehicle based on the intake air amount, the running speed, the running acceleration and the roof height of the vehicle, which are acquired by each sensor. And when the air intake quantity, the running speed, the running acceleration and the roof height of the vehicle are all in the air intake quantity section, the running speed section, the running acceleration section and the roof height section corresponding to the target engine operation mode, determining that the engine operation mode of the vehicle is the target engine operation mode.
For example, if the intake air amount of the vehicle is in the intake air amount section corresponding to the first engine operation mode, the running speed of the vehicle is in the running speed section corresponding to the first engine operation mode, the running acceleration of the vehicle is in the running acceleration section corresponding to the first engine operation mode, and the roof top height section of the vehicle is in the roof height section corresponding to the first engine operation mode, the engine operation mode of the vehicle is determined to be the first engine operation mode.
The engine operation mode of the vehicle is determined based on a plurality of parameters (the intake air amount, the vehicle running speed, the vehicle running acceleration, and the roof height). When the engine operating mode of the vehicle is determined based on a part of the parameters, it is only necessary to determine the section of the part of the parameters corresponding to the operating mode of the corresponding engine.
For example, if the engine operation mode of the vehicle is determined based on the intake air amount and the traveling speed of the vehicle, it is necessary to determine that the intake air amount of the vehicle is located in an intake air amount section corresponding to a certain engine operation mode and that the traveling speed of the vehicle is also located in a traveling speed section corresponding to the engine operation mode, and thus the engine operation mode of the vehicle can be determined.
In another possible implementation manner, the air intake amount acquired by the throttle position sensor, the vehicle running speed acquired by the vehicle speed sensor, the vehicle running acceleration acquired by the acceleration sensor, and the vehicle roof height acquired by the height sensor may be used as the inputs of the first neural network model to obtain the engine operation mode output by the first neural network model.
The first neural network model is trained in advance by a small-scale sample including one or more of an intake air amount, a vehicle running speed, a vehicle running acceleration, and a roof height. Since the process of training the first neural network based on the amount of intake air in the sample, and/or the vehicle running speed, and/or the vehicle running acceleration, and/or the vehicle roof height is the same. Therefore, the following description will be given taking as an example a case where the sample includes the intake air amount.
The implementation process of training the first neural network model by using the air input amount may be as follows: the method comprises the steps of obtaining a plurality of training samples and labels of each training sample in the plurality of training samples, wherein each training sample is an air inflow once, the label of each training sample is an engine working mode corresponding to the corresponding air inflow, and the label of each training sample is calibrated manually. And then inputting the training samples and the label of each training sample in the training samples into an initialized neural network model, and obtaining the first neural network model by learning the initialized neural network model. Through the training process, the first neural network model can determine the engine working mode based on the air inflow.
After the engine operating mode of the vehicle is obtained based on the running data (that is, the target engine operating mode matched with the running data is selected from the plurality of engine operating modes), the terminal can send a vehicle driving mode adjusting request to the vehicle, wherein the vehicle driving mode adjusting request carries information of the engine operating mode of the vehicle needing to be adjusted. And when the vehicle receives the vehicle driving mode adjusting request, correspondingly adjusting the working mode of the engine of the vehicle according to the information carried in the vehicle driving mode adjusting request.
The working mode of the steering wheel is as follows:
in some embodiments, in a scenario where the driving mode of the vehicle includes a steering wheel operating mode of the vehicle, the vehicle is configured with a plurality of steering wheel operating modes, and the coefficient of rotational friction of the steering wheel of the vehicle is different in different steering wheel operating modes. That is, different steering feel of the vehicle steering wheel can be achieved based on different rotational friction coefficients of the steering wheel.
For example, the steering wheel operation mode may be classified into a comfort type operation mode, a power type operation mode, a standard type operation mode, and the like. The rotating friction coefficient of the vehicle steering wheel is small in the comfortable working mode, the steering power of the steering wheel is increased, and the hand feeling is light and flexible. The rotating friction coefficient of the steering wheel of the vehicle is large in the power type working mode, the steering power of the steering wheel is reduced, and the hand feeling is stable. The rotating friction coefficient of the vehicle steering wheel is moderate in the standard working mode, the steering power of the steering wheel is moderate, and the hand feeling is moderate.
Accordingly, in this scenario, the implementation process of step 202 may be: a target steering wheel operation mode matching the rotational angular velocity is selected from a plurality of steering wheel operation modes. And controlling the steering wheel of the vehicle to work based on the rotating friction coefficient corresponding to the target steering wheel working mode.
As described above for the engine operation mode, there may be two implementations of selecting the target steering wheel operation mode matching the rotational angular velocity from the plurality of steering wheel operation modes.
In one possible implementation, each of the plurality of steering wheel operating modes corresponds to a rotational angular velocity interval. In the case where the travel data includes a steering wheel rotation angular velocity acquired by a steering wheel angle sensor on the vehicle, the steering wheel rotation angular velocity acquired by the steering wheel angle sensor is in a rotation angular velocity section corresponding to the target steering wheel operation mode.
The rotation angular speed interval corresponding to each steering wheel working mode is obtained by researching and developing big data in advance. Since the process of obtaining the rotation angular velocity interval corresponding to each steering wheel operating mode is the same, for any steering wheel operating mode, the following method can be used to obtain the rotation angular velocity interval corresponding to each steering wheel operating mode. Therefore, the following description will be given taking an example in which a rotational angular velocity interval corresponding to the first steering wheel operation mode is obtained.
The above implementation process of obtaining the rotation angular velocity interval corresponding to the first steering wheel operating mode may be: and obtaining a plurality of corresponding rotation angular speeds under the first steering wheel working mode based on the big data, and clustering the obtained rotation angular speeds to obtain a rotation angular speed interval under the first steering wheel working mode. The difference between the maximum rotational angular velocity and the minimum rotational angular velocity in the rotational angular velocity interval does not exceed the reference rotational angular velocity difference, and the reference rotational angular velocity difference may be set in advance, which is not limited in the embodiment of the present application.
After the rotation angular speed intervals corresponding to the working modes are obtained, the terminal can determine the steering wheel working mode of the vehicle based on the steering wheel rotation angular speed of the vehicle acquired by the steering wheel rotation angle sensor. And when the rotating angular speed of the steering wheel of the vehicle is in the rotating angular speed interval corresponding to the target steering wheel working mode, determining that the steering wheel working mode of the vehicle is the target steering wheel working mode.
For example, if the steering wheel rotation angular speed of the vehicle is in the rotation angular speed interval corresponding to the first steering wheel operation mode, the steering wheel operation mode of the vehicle is determined to be the first steering wheel operation mode.
In another possible implementation manner, the steering wheel rotation angular speed acquired by the steering wheel rotation angle sensor can be used as the input of the second neural network model to obtain the steering wheel working mode output by the second neural network model. The second neural network model is trained in advance by a small-scale sample, and therefore, the steering wheel operation mode can be determined based on the steering wheel rotation angular velocity.
The implementation process of the training second neural network model may be: the method comprises the steps of obtaining a plurality of training samples and labels of each training sample in the plurality of training samples, wherein each training sample is a steering wheel rotating angular speed, the label of each training sample is a steering wheel working mode corresponding to the corresponding steering wheel rotating angular speed, and the label of each training sample is calibrated manually. And then inputting the plurality of training samples and the label aiming at each training sample in the plurality of training samples into the initialized neural network model, and obtaining the second neural network model by learning the initialized neural network model. Through the training process, the second neural network model can determine the steering wheel working mode based on the steering wheel rotating angular speed.
After the steering wheel operating mode of the vehicle is obtained based on the driving data (that is, the target steering wheel operating mode matched with the driving data is selected from the multiple steering wheel operating modes), the terminal can send a vehicle driving mode adjusting request to the vehicle, wherein the vehicle driving mode adjusting request carries information of the steering wheel operating mode of the vehicle needing to be adjusted. And when the vehicle receives the vehicle driving mode adjusting request, correspondingly adjusting the steering wheel working mode of the vehicle according to the information carried in the vehicle driving mode adjusting request.
The fragrance working mode, the atmosphere lamp working mode and the sound equipment working mode are as follows:
in some embodiments, in a scenario where the driving mode of the vehicle includes one or more of a fragrance operation mode, an atmosphere lamp operation mode, and an audio operation mode of the vehicle, and the driving data includes a facial image of the driver captured by a vision sensor on the vehicle, the implementation of step 202 can be divided into the following two steps:
the method comprises the following steps: it is determined whether the driver is in a fatigue driving state based on the face image.
There may be two ways to determine whether the driver is in the fatigue driving state in the step one.
In one possible implementation manner, the vision sensor sends the acquired face image of the driver to the terminal. The terminal determines the distance between the upper eyelid and the lower eyelid in the face image based on the face image so as to determine whether the driver is in a fatigue driving state.
When the distance between the upper eyelid and the lower eyelid in the face image is smaller than the reference distance, the driver corresponding to the face image is considered to be in a fatigue driving state, wherein the reference distance may be set in advance, which is not limited in the embodiment of the present application.
In another possible implementation manner, a face image of the driver acquired by the vision sensor may be used as an input of the third neural network model to obtain the state of the driver output by the third neural network model. The third neural network model is trained by small-scale samples in advance, so that the state of the driver corresponding to the face image can be determined based on the face image, and the terminal can determine whether the driver is in a fatigue driving state or not.
The implementation process of training the third neural network model may be: the method comprises the steps of obtaining a plurality of training samples and labels aiming at each training sample in the plurality of training samples, wherein each training sample is a face image, the label of each training sample is the state of a driver corresponding to the corresponding face image, and the label of each training sample is calibrated manually. And then inputting the training samples and the label of each training sample in the training samples into the initialized neural network model, and obtaining the third neural network model by learning the initialized neural network model. Through the training process, the third neural network model can determine the state of the driver corresponding to the face image based on the face image. The state of the driver corresponding to the corresponding face image in the label of each training sample comprises a normal driving state and a fatigue driving state.
If the state of the driver corresponding to the face image output by the third neural network model is a fatigue driving state, determining that the driver corresponding to the face image is in the fatigue driving state, namely adjusting the fragrance working mode, the atmosphere lamp working mode and/or the sound working mode of the vehicle based on the following step two.
Step two: and if the driver is in a fatigue driving state, adjusting the fragrance working mode of the vehicle to be a target fragrance working mode, and/or adjusting the atmosphere lamp working mode of the vehicle to be a target atmosphere lamp working mode and adjusting the sound working mode of the vehicle to be a target sound working mode.
Wherein, in the target fragrance operation mode, the type of the fragrance is a relaxing type fragrance, and the fragrance concentration is within the reference concentration. In the target atmosphere lamp working mode, the light of the atmosphere lamp is the light of a relieving type, and the rotating mode of the light is in the reference rotating mode. And under the working mode of the target sound box, the types of music in the sound box are all relaxing music, and the volume of the sound box is within the reference volume. The relaxing type fragrance acts on taste sense, the relaxing type lamplight acts on vision, and the relaxing type music acts on auditory sense, so that the target fragrance working mode, the target atmosphere lamp working mode and the target sound working mode properly relax the mood of a driver from three aspects, the fatigue state of the driver is eliminated, the driver is enabled to relax the mood, and the vehicle is operated quietly. The reference concentration, the reference rotation mode and the reference volume can be set in advance, so that the mood of the driver can be properly relaxed and the fatigue state of the driver can be eliminated under the reference concentration, the reference rotation mode and/or the reference volume.
In step two, if the driver is in a fatigue driving state, at this time, the fragrance operation mode of the vehicle may be adjusted to the target fragrance operation mode, or the atmosphere lamp operation mode may be adjusted to the target atmosphere lamp operation mode, or the audio operation mode may be adjusted to the target audio operation mode. Any two of the fragrance operating mode, the atmosphere lamp operating mode, and the sound operating mode may also be adjusted simultaneously. Of course, all three can be adjusted to the target operation mode. The embodiments of the present application do not limit this.
The vehicle driving modes include an engine operating mode, a steering wheel operating mode, a fragrance operating mode, an atmosphere lamp operating mode and an audio operating mode which are independent from each other, that is, any one of the vehicle driving modes can be independently adjusted based on the driving data of the vehicle.
In other embodiments, each of the plurality of engine operating modes corresponds to a steering wheel operating mode, and/or a fragrance operating mode, and/or an mood light operating mode, and/or an audible operating mode.
After the target engine operation mode matched with the running data is selected from the plurality of engine operation modes, a target steering wheel operation mode and/or a target fragrance operation mode and/or a target atmosphere lamp operation mode and/or a target sound operation mode corresponding to the target engine operation mode can be determined. And controlling the vehicle to work according to a target steering wheel working mode, and/or a target fragrance working mode, and/or a target atmosphere lamp working mode, and/or a target sound working mode.
That is, the different operating modes of the engine correspond to one or more of a corresponding steering wheel operating mode, a fragrance operating mode, an atmosphere light operating mode, and a sound operating mode. After the engine working mode (target engine working mode) is determined, the corresponding steering wheel working mode, the fragrance working mode, the atmosphere lamp working mode and the sound working mode are correspondingly determined. At this time, one or more of the target steering wheel operating mode, target fragrance operating mode, target mood light operating mode, target audio operating mode operation may be determined based directly on the target engine operating mode.
Illustratively, when the vehicle running speed is not higher than 80 km/h, the vehicle running acceleration occurs at two angles of 3 m/quadratic second within 10 seconds, and the vehicle steering wheel occurs at two angles of more than 45 degrees within 10 seconds, at this time, the vehicle adjusts the engine operation mode to the power operation mode, and accordingly, the vehicle may adjust the steering wheel operation mode to the comfort operation mode, adjust the fragrance operation mode to release the comfort fragrance gas, adjust the atmosphere lamp operation mode to display the green atmosphere, and adjust the sound operation mode to play the comfort music, so that the vehicle driver can feel comfortable and operate the vehicle cool and quiet.
The executing body of the method for adjusting the vehicle driving mode may be a vehicle host machine other than the terminal. In the case that the execution subject is a vehicle host, the throttle position sensor, the vehicle speed sensor, the acceleration sensor, the vehicle height sensor, the steering wheel angle sensor, and the vision sensor in the vehicle may directly transmit the collected data to the vehicle host, and the vehicle host adjusts the driving mode of the vehicle based on the above steps 201 and 202.
When the host vehicle adjusts the driving mode of the vehicle based on the steps 201 and 202, the method comprises the following steps: the vehicle host machine acquires running data of the vehicle, which indicates a state of the vehicle and/or a driver in the vehicle during running of the vehicle. The vehicle host machine controls a driving mode of the vehicle based on the travel data.
Specifically, the implementation process of the method for adjusting the vehicle driving mode by the vehicle host machine may refer to the relevant contents in the embodiment of fig. 2, and will not be described here.
For example, as shown in fig. 3, an EMS (Engine Management System) in the vehicle host machine may determine the Engine operation mode of the vehicle based on the intake air amount of the vehicle collected by the throttle position sensor. An EPS (Electric Power Steering) in the vehicle main body may determine a Steering wheel operation mode of the vehicle based on a rotational angular velocity of a Steering wheel of the vehicle collected by a Steering wheel angle sensor. A fragrance system control module in the vehicle host machine can determine the fragrance working mode of the vehicle based on the face image acquired by the vision sensor. The BCM (Body Control Module) in the vehicle host may also determine the vehicle's mood light operating mode based on the face images captured by the vision sensors. An IHU (information Head Unit) in the host vehicle may also determine the acoustic operating mode of the vehicle based on the face image collected by the vision sensor.
In the embodiment of the application, the acquired running data of the vehicle is sent to the terminal or the vehicle host machine through various sensors on the vehicle, the terminal or the vehicle host machine judges information such as the power demand of the vehicle and the state of a driver, and the engine working mode of the vehicle is intelligently adjusted based on the information. In addition, the embodiment of the application can also simultaneously adjust the steering wheel working mode, the optimal fragrance working mode in the engine working mode, the matched atmosphere lamp working mode and the matched sound working mode, improve the safety of vehicles and vehicle personnel, simultaneously adjust the vehicle space atmosphere in all directions through taste sense, vision, hearing and the like, and realize the optimal configuration of each working mode of the vehicle, thereby improving the driving performance and the comfort of the vehicle and enhancing the charm of the vehicle.
Fig. 4 is a schematic structural diagram of an apparatus for adjusting a vehicle driving mode according to an embodiment of the present application, where the apparatus for adjusting a vehicle driving mode may be implemented by software, hardware, or a combination of the two. Referring to fig. 4, the apparatus includes: an acquisition module 401 and a control module 402.
An obtaining module 401, configured to obtain driving data of a vehicle, where the driving data indicates a state of the vehicle and/or a driver in the vehicle during driving of the vehicle;
a control module 402 for controlling a driving mode of the vehicle based on the driving data.
Optionally, the driving mode comprises an engine operating mode of the vehicle, the vehicle is configured with a plurality of engine operating modes, and the operating power of the engine of the vehicle is different in different engine operating modes;
a control module 402 comprising:
a selection submodule for selecting a target engine operation mode matching the travel data from among the plurality of engine operation modes;
and the first control submodule is used for controlling the engine of the vehicle to work based on the working power corresponding to the target engine working mode.
Optionally, the running data includes one or more of an intake air amount collected by a throttle position sensor on the vehicle, a vehicle running speed collected by a vehicle speed sensor on the vehicle, a vehicle running acceleration collected by an acceleration sensor on the vehicle, and a roof height collected by a height sensor on the vehicle, and each of the plurality of engine operation modes corresponds to an intake air amount interval, a running speed interval, a running acceleration area, and a roof height interval;
under the condition that the driving data comprises the air inflow collected by a throttle position sensor on the vehicle, the air inflow collected by the throttle position sensor is in an air inflow interval corresponding to the target engine working mode;
under the condition that the driving data comprises the driving speed of the vehicle acquired by a vehicle speed sensor on the vehicle, the driving speed of the vehicle acquired by the vehicle speed sensor is in a driving speed interval corresponding to the working mode of the target engine;
under the condition that the running data comprises the running acceleration of the vehicle, which is acquired by an acceleration sensor on the vehicle, the running acceleration of the vehicle, which is acquired by the acceleration sensor, is in a running acceleration interval corresponding to the working mode of the target engine;
in the case where the travel data includes the roof height acquired by the height sensor on the vehicle, the roof height acquired by the height sensor is in the roof height section corresponding to the target engine operation mode.
Optionally, the driving mode includes a steering wheel operating mode of the vehicle, the vehicle is configured with a plurality of steering wheel operating modes, the rotational friction coefficients of the steering wheel of the vehicle are different in different steering wheel operating modes, and the driving data includes the rotational angular speed of the steering wheel collected by a steering wheel angle sensor on the vehicle;
a control module 402 for:
selecting a target steering wheel working mode matched with the rotation angular velocity from a plurality of steering wheel working modes;
and controlling the steering wheel of the vehicle to work based on the rotating friction coefficient corresponding to the target steering wheel working mode.
Optionally, the driving mode includes one or more of a fragrance operating mode, an atmosphere lamp operating mode, and a sound operating mode of the vehicle, and the driving data includes a facial image of the driver captured by a vision sensor on the vehicle;
a control module 402 for:
determining whether the driver is in a fatigue driving state based on the face image;
and if the driver is in a fatigue driving state, adjusting the vehicle fragrance working mode to a target fragrance working mode, and/or adjusting the vehicle atmosphere lamp working mode to a target atmosphere lamp working mode, and/or adjusting the vehicle sound working mode to a target sound working mode.
Optionally, each engine operating mode in the plurality of engine operating modes corresponds to a steering wheel operating mode, and/or a fragrance operating mode, and/or an atmosphere lamp operating mode, and/or a sound operating mode;
the control module 402, further comprising:
the determining submodule is used for determining a target steering wheel working mode, a target fragrance working mode, a target atmosphere lamp working mode and a target sound working mode corresponding to the target engine working mode;
and the second control submodule is used for controlling the vehicle to work according to the target steering wheel working mode, the target fragrance working mode, the target atmosphere lamp working mode and the target sound working mode.
In the embodiment of the application, the acquired running data of the vehicle is sent to the terminal or the vehicle host machine through various sensors on the vehicle, the terminal or the vehicle host machine judges information such as the power demand of the vehicle and the state of a driver, and the engine working mode of the vehicle is intelligently adjusted based on the information. In addition, the embodiment of the application can also simultaneously adjust the steering wheel working mode, the optimal fragrance working mode in the engine working mode, the matched atmosphere lamp working mode and the matched sound working mode, improve the safety of vehicles and vehicle personnel, simultaneously adjust the vehicle space atmosphere in all directions through taste sense, vision, hearing and the like, and realize the optimal configuration of each working mode of the vehicle, thereby improving the driving performance and the comfort of the vehicle and enhancing the charm of the vehicle.
It should be noted that: the device for adjusting the driving mode of the vehicle provided in the above embodiment is only illustrated by dividing the functional modules when adjusting the driving mode of the vehicle, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the terminal is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the device for adjusting the driving mode of the vehicle and the method embodiment for adjusting the driving mode of the vehicle provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiment and are not described herein again.
Fig. 5 shows a block diagram of a terminal 500 according to an exemplary embodiment of the present application. In general, the terminal 500 includes: a processor 501 and a memory 502.
The processor 501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 501 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), PLA (Programmable Logic Array). The processor 501 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 501 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed by the display screen. In some embodiments, processor 501 may also include an AI (Artificial Intelligence) processor for processing computational operations related to machine learning.
In some embodiments, the terminal 500 may further optionally include: a peripheral interface 503 and at least one peripheral. The processor 501, memory 502 and peripheral interface 503 may be connected by a bus or signal lines. Each peripheral may be connected to the peripheral interface 503 by a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 504, display screen 505, camera assembly 506, audio circuitry 507, positioning assembly 508, and power supply 509.
Those skilled in the art will appreciate that the configuration shown in fig. 5 is not intended to be limiting of terminal 500 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.
The embodiment of the application also provides a non-transitory computer readable storage medium, and when instructions in the storage medium are executed by a processor of the terminal, the terminal can execute the method for adjusting the vehicle driving mode provided by the embodiment.
Embodiments of the present application further provide a computer program product containing instructions, which when run on a terminal, cause the terminal to execute the method for adjusting a driving mode of a vehicle provided by the foregoing embodiments.
It is to be understood that in the embodiment mode of the present application, related driving data such as a face image indicating a driver's state in a vehicle is referred to, when the above embodiment of the present application is applied to a specific product or technology, user permission or consent needs to be obtained, and collection, use and processing of the related data need to comply with related laws and regulations and standards of related countries and regions.
The above description is only a preferred embodiment of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A method of adjusting a driving mode of a vehicle, the method comprising:
acquiring driving data of a vehicle, wherein the driving data indicates the state of the vehicle and/or a driver in the vehicle during driving of the vehicle;
controlling a driving mode of the vehicle based on the travel data.
2. The method of claim 1, wherein the driving modes include an engine operating mode of the vehicle, the vehicle being configured with a plurality of engine operating modes, operating power of an engine of the vehicle being different in different engine operating modes;
the controlling a driving mode of the vehicle based on the travel data includes:
selecting a target engine operation mode matching the travel data from the plurality of engine operation modes;
and controlling the engine of the vehicle to work based on the working power corresponding to the target engine working mode.
3. The method of claim 2, wherein the travel data includes one or more of an intake air amount collected by a throttle position sensor on the vehicle, a vehicle travel speed collected by a vehicle speed sensor on the vehicle, a vehicle travel acceleration collected by an acceleration sensor on the vehicle, a roof height collected by a height sensor on the vehicle, each of the plurality of engine operating modes corresponding to an intake air amount interval, a travel speed interval, a travel acceleration region, a roof height interval;
in the case where the running data includes an intake air amount collected by a throttle position sensor on the vehicle, the intake air amount collected by the throttle position sensor is in an intake air amount section corresponding to the target engine operation mode;
under the condition that the running data comprises a vehicle running speed acquired by a vehicle speed sensor on the vehicle, the vehicle running speed acquired by the vehicle speed sensor is in a running speed interval corresponding to the target engine working mode;
when the running data comprises vehicle running acceleration collected by an acceleration sensor on the vehicle, the vehicle running acceleration collected by the acceleration sensor is in a running acceleration interval corresponding to the target engine working mode;
and under the condition that the running data comprises the roof height collected by the height sensor on the vehicle, the roof height collected by the height sensor is in the roof height interval corresponding to the target engine working mode.
4. A method according to any one of claims 1 to 3, wherein the driving modes include a steering wheel operating mode of the vehicle, the vehicle is provided with a plurality of steering wheel operating modes, the coefficient of friction of rotation of the steering wheel of the vehicle differs for different steering wheel operating modes, and the travel data includes the angular velocity of rotation of the steering wheel collected by a steering wheel angle sensor on the vehicle;
the controlling a driving mode of the vehicle based on the travel data includes:
selecting a target steering wheel operation mode matched with the rotation angular velocity from the plurality of steering wheel operation modes;
and controlling the steering wheel of the vehicle to work based on the rotating friction coefficient corresponding to the target steering wheel working mode.
5. The method of any one of claims 1 to 3, wherein the driving mode comprises one or more of a fragrance mode of operation, an mood lamp mode of operation, a sound mode of operation of the vehicle, and the driving data comprises facial images of the driver captured by a vision sensor on the vehicle;
the controlling a driving mode of the vehicle based on the travel data includes:
determining whether the driver is in a fatigue driving state based on the face image;
and if the driver is in a fatigue driving state, adjusting the working mode of the vehicle to be a target working mode, and/or adjusting the working mode of the vehicle atmosphere lamp to be a target working mode, and/or adjusting the working mode of the vehicle sound to be a target sound working mode.
6. The method of claim 2, wherein each of the plurality of engine operating modes corresponds to a steering wheel operating mode, and/or a fragrance operating mode, and/or an mood light operating mode, and/or an audible operating mode;
after the selecting of the target engine operation mode matching the travel data from the plurality of engine operation modes, the method further includes:
determining a target steering wheel working mode and/or a target fragrance working mode and/or a target atmosphere lamp working mode and/or a target sound working mode corresponding to the target engine working mode;
and controlling the vehicle to work according to the target steering wheel working mode, the target fragrance working mode, the target atmosphere lamp working mode and the target sound working mode.
7. An apparatus for adjusting a driving mode of a vehicle, the apparatus comprising:
an acquisition module for acquiring driving data of a vehicle, the driving data indicating a state of the vehicle and/or a driver in the vehicle during driving of the vehicle;
a control module to control a driving mode of the vehicle based on the travel data.
8. The apparatus of claim 7, wherein the driving modes include an engine operating mode of the vehicle, the vehicle being configured with a plurality of engine operating modes, operating power of an engine of the vehicle being different in different engine operating modes;
the control module is configured to:
selecting a target engine operation mode matching the travel data from the plurality of engine operation modes;
and controlling an engine of the vehicle to work based on the working power corresponding to the target engine working mode.
9. An apparatus for adjusting a driving mode of a vehicle, the apparatus comprising a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the steps of the method of any of the preceding claims 1 to 6.
10. A computer-readable storage medium, having stored thereon instructions which, when executed by a processor, carry out the steps of the method of any of the preceding claims 1 to 6.
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