CN114475609B - Method, device and storage medium for adjusting driving mode of vehicle - Google Patents
Method, device and storage medium for adjusting driving mode of vehicle Download PDFInfo
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- CN114475609B CN114475609B CN202210066999.4A CN202210066999A CN114475609B CN 114475609 B CN114475609 B CN 114475609B CN 202210066999 A CN202210066999 A CN 202210066999A CN 114475609 B CN114475609 B CN 114475609B
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- 238000000034 method Methods 0.000 title claims abstract description 59
- 230000001133 acceleration Effects 0.000 claims description 67
- 239000003205 fragrance Substances 0.000 claims description 54
- 238000007537 lampworking Methods 0.000 claims description 27
- 238000012549 training Methods 0.000 description 33
- 238000003062 neural network model Methods 0.000 description 25
- 230000008569 process Effects 0.000 description 16
- 238000012545 processing Methods 0.000 description 8
- 238000002372 labelling Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 230000002093 peripheral effect Effects 0.000 description 6
- 230000036651 mood Effects 0.000 description 5
- 230000000007 visual effect Effects 0.000 description 5
- 210000000744 eyelid Anatomy 0.000 description 4
- 239000004576 sand Substances 0.000 description 3
- 238000013473 artificial intelligence Methods 0.000 description 2
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- 238000004590 computer program Methods 0.000 description 2
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- 230000014860 sensory perception of taste Effects 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
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Classifications
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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
- B60W30/18—Propelling the vehicle
- B60W30/182—Selecting between different operative modes, e.g. comfort and performance modes
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- Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
Abstract
The embodiment of the application discloses a method, a device and a storage medium for adjusting a driving mode of a vehicle, and belongs to the technical field of automobile 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 running data of the vehicle based on the vehicle itself and intelligently adjusts the driving mode of the vehicle based on the running data, so that the vehicle itself can intelligently adjust the driving mode of the vehicle without increasing the operation of a driver. Moreover, compared with the scheme that a driver needs to manually adjust the driving mode, the scheme provided by the embodiment of the application has no potential safety hazard.
Description
Technical Field
The embodiment of the application relates to the technical field of automobile electronics, in particular to a method, a device and a storage medium for adjusting a driving mode of a vehicle.
Background
With the continuous development of science and technology, a vehicle generally supports multiple driving modes to adapt to different driving situations, such as a "power driving mode", "economic driving mode", "sand driving mode", and the like, and a driver can adjust the driving mode of the vehicle according to the current driving situation.
However, in actual driving, such as when the vehicle goes from a sand to a cement, the driver needs to manually click the driving mode adjustment button to adjust the sand driving mode to the comfort driving mode, which clearly increases the operation of the driver, and there is a certain safety hazard in manually adjusting the driving mode during driving the vehicle.
Disclosure of Invention
The embodiment of the application provides a method, a device and a storage medium for adjusting a driving mode of a vehicle, which 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 indicate the state of the vehicle and/or a driver in the vehicle during driving of the vehicle;
and controlling a driving mode of the vehicle based on the driving data.
Optionally, the driving mode includes an engine operation mode of the vehicle, the vehicle is configured with a plurality of engine operation modes, and the engine of the vehicle has different operation powers in different engine operation modes;
the controlling the driving mode of the vehicle based on the travel data includes:
Selecting a target engine operating mode from the plurality of engine operating modes that matches the travel data;
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 section, a driving speed section, a driving acceleration section, and a roof height section;
when the driving data comprise the air inflow acquired by a throttle position sensor on the vehicle, the air inflow acquired by the throttle position sensor is in an air inflow interval corresponding to the target engine working mode;
when the running data comprise the running speed of the vehicle collected by a speed sensor on the vehicle, the running speed of the vehicle collected by the speed sensor is in a running speed interval corresponding to the target engine working mode;
Under the condition that the running data comprise the running acceleration of the vehicle collected by an acceleration sensor on the vehicle, the running acceleration of the vehicle collected by the acceleration sensor is in a running acceleration section corresponding to the target engine working mode;
and under the condition that the driving data comprises the roof height collected by the height sensor on the vehicle, the roof height collected by the height sensor is in a roof height section corresponding to the target engine working mode.
Optionally, the driving mode includes a steering wheel working mode of the vehicle, the vehicle is configured with a plurality of steering wheel working modes, the steering wheel of the vehicle has different rotation friction coefficients under different steering wheel working modes, and the driving data includes a rotation angular speed of the steering wheel acquired by a steering wheel angle sensor on the vehicle;
the controlling the driving mode of the vehicle based on the travel data includes:
selecting a target steering wheel working mode matched with the rotation angular speed from the plurality of steering wheel working modes;
and controlling the steering wheel of the vehicle to work based on the rotation friction coefficient corresponding to the target steering wheel working mode.
Optionally, the driving mode 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 face image of the driver acquired by a visual sensor on the vehicle;
the controlling the 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 fragrance working mode of the vehicle to a target fragrance working mode, and/or adjusting the atmosphere lamp working mode of the vehicle to a target atmosphere lamp working mode, and/or adjusting the sound working mode of the vehicle to a target sound working mode.
Optionally, each of the plurality of engine operation modes corresponds to a steering wheel operation mode, and/or a fragrance operation mode, and/or an atmosphere lamp operation mode, and/or an audio operation mode;
after the selecting a target engine operating mode from the plurality of engine operating modes that matches the travel data, 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 comprising:
an acquisition module for acquiring travel data of a vehicle, the travel data indicating a state of the vehicle and/or a driver in the vehicle during travel of the vehicle;
and the control module is used for controlling the driving mode of the vehicle based on the driving data.
Optionally, the driving mode includes an engine operation mode of the vehicle, the vehicle is configured with a plurality of engine operation modes, and the engine of the vehicle has different operation powers in different engine operation modes;
the control module comprises:
a selection sub-module for selecting a target engine operating mode from the plurality of engine operating modes that matches the travel data;
And the first control sub-module 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 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 section, a driving speed section, a driving acceleration section, and a roof height section;
when the driving data comprise the air inflow acquired by a throttle position sensor on the vehicle, the air inflow acquired by the throttle position sensor is in an air inflow interval corresponding to the target engine working mode;
when the running data comprise the running speed of the vehicle collected by a speed sensor on the vehicle, the running speed of the vehicle collected by the speed sensor is in a running speed interval corresponding to the target engine working mode;
Under the condition that the running data comprise the running acceleration of the vehicle collected by an acceleration sensor on the vehicle, the running acceleration of the vehicle collected by the acceleration sensor is in a running acceleration section corresponding to the target engine working mode;
and under the condition that the driving data comprises the roof height collected by the height sensor on the vehicle, the roof height collected by the height sensor is in a roof height section corresponding to the target engine working mode.
Optionally, the driving mode includes a steering wheel working mode of the vehicle, the vehicle is configured with a plurality of steering wheel working modes, the steering wheel of the vehicle has different rotation friction coefficients under different steering wheel working modes, and the driving data includes a rotation angular speed of the steering wheel acquired by a steering wheel angle sensor on the vehicle;
the control module is used for:
selecting a target steering wheel working mode matched with the rotation angular speed from the plurality of steering wheel working modes;
and controlling the steering wheel of the vehicle to work based on the rotation friction coefficient corresponding to the target steering wheel working mode.
Optionally, the driving mode 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 face image of the driver acquired by a visual sensor on the vehicle;
The control module is used 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 fragrance working mode of the vehicle to a target fragrance working mode, and/or adjusting the atmosphere lamp working mode of the vehicle to a target atmosphere lamp working mode, and/or adjusting the sound working mode of the vehicle to a target sound working mode.
Optionally, each of the plurality of engine operation modes corresponds to a steering wheel operation mode, and/or a fragrance operation mode, and/or an atmosphere lamp operation mode, and/or an audio operation mode;
the control module further includes:
the determining submodule is used for 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 the second control submodule is used for controlling the vehicle to work according to the target steering wheel working mode and/or the target fragrance working mode and/or the target atmosphere lamp working mode and/or the target sound working mode.
In another aspect, there is provided 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 any of the steps of the method of adjusting a driving mode of a vehicle described above.
In another aspect, a computer readable storage medium having instructions stored thereon which when executed by a processor perform any of the steps of the method of adjusting a driving pattern of a vehicle described above is provided.
In another aspect, a computer program product is provided containing instructions that, when run on a computer, cause the computer to perform any of the steps of the method of adjusting a driving mode of a vehicle described above.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects:
in an embodiment of the present application, first, traveling data of a vehicle is acquired, the traveling data indicating a state of the vehicle during traveling of the vehicle and/or a state of a driver in the vehicle. And controlling a driving mode of the vehicle based on the driving data so that the vehicle operates based on the driving mode. The scheme in the embodiment of the application only collects the running data of the vehicle based on the vehicle itself and intelligently adjusts the driving mode of the vehicle based on the running data, so that the vehicle itself can intelligently adjust the driving mode of the vehicle without increasing the operation of a driver. Moreover, compared with the scheme that a driver needs to manually adjust the driving mode, the scheme provided by the embodiment of the application has no potential safety hazard.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
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 of logic control of a driving mode of a vehicle according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a device for adjusting a driving mode of a vehicle according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the following detailed description of the embodiments of the present application will be given with reference to the accompanying drawings.
Before explaining the method for adjusting the driving mode of the vehicle in detail, the application scenario and the implementation environment provided by the embodiment of the application are described.
Typically, the driving mode of the vehicle includes an engine operating mode and/or a steering wheel operating mode of the vehicle. The engine operating power of the vehicle is different in different engine operating modes, and the rotational friction coefficient of the steering wheel of the vehicle is also different in different steering wheel operating modes. In this way, the driver can drive the vehicle in different driving modes so that the vehicle more meets the driver's needs.
In order to improve the comfort of the vehicle, various vehicle driving modes for adjusting the mood of the driver, such as a fragrance working mode, an atmosphere lamp working mode, a sound working mode and the like, are also presented, and the working modes adjust the space atmosphere of the vehicle omnidirectionally from taste, vision and hearing, so as to provide a more comfortable driving environment for the driver.
However, in all driving modes of the vehicle, the driver is required to manually click a button to start or adjust the corresponding working mode, but it is inconvenient for the driver to manually switch the working modes of each vehicle while driving the vehicle, and most drivers do not start or adjust the working modes of the vehicle in the process of driving the vehicle, so that the user experience of the user on the vehicle is reduced. In addition, during driving of the vehicle, there is a certain safety hazard in that 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 mode of the vehicle can be intelligently adjusted based on the driving data acquired by each part of the vehicle.
Referring to fig. 1, fig. 1 is a schematic diagram illustrating an implementation environment according to an exemplary embodiment. The implementation environment includes a vehicle 101 and a terminal 102, the vehicle 101 being communicatively coupled to the terminal 102. The communication connection may be a wired or wireless connection, which is not limited by the embodiments of the present application.
The vehicle 101 includes sensors such as a vehicle body, a throttle position sensor, a vehicle speed sensor, an acceleration sensor, a vehicle body height sensor, a steering wheel angle sensor, and a visual sensor. The throttle position sensor is used for collecting running data such as air inflow 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 indicating the state of the vehicle, such as running acceleration of the vehicle. The vehicle height sensor is used for acquiring running data such as the roof height of the vehicle. The steering wheel angle sensor is used for acquiring running data such as the rotational angular speed of a steering wheel of the vehicle. The vision sensor is used for collecting driving data indicating the state of the driver, such as face images of the driver.
In some embodiments, the throttle position sensor may send the acquired travel data such as the intake air amount to the terminal 102, the vehicle speed sensor sends the acquired travel data such as the travel speed to the terminal 102, the acceleration sensor sends the acquired travel data such as the travel acceleration to the terminal 102, the vehicle body height sensor sends the acquired travel data such as the roof height to the terminal 102, the steering wheel angle sensor sends the acquired travel data such as the rotational angular speed of the steering wheel to the terminal 102, and the vision sensor sends the acquired travel data such as the face image to the terminal 102 indicating the status of the driver. The driving mode of the vehicle is controlled by the terminal 102 based on the travel data. The specific operation of the terminal 102 in controlling the driving mode of the vehicle based on the traveling data 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 needs to adjust the driving mode of the vehicle. 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 driving mode of the vehicle needs to be adjusted carried in the vehicle driving mode adjustment request.
Of course, each sensor of the vehicle may also directly send the acquired running data of the vehicle to the vehicle host. The driving mode of the vehicle is controlled by the vehicle host based on the travel data. The specific operation of the driving mode of the vehicle is controlled by the vehicle host based on the traveling data, which will be described in detail later.
The terminal 102 may be any electronic product that can perform man-machine interaction with a user through one or more modes of a keyboard, a touch pad, a touch screen, a remote controller, a voice interaction or a handwriting device, for example, a PC (Personal Computer ), a mobile phone, a smart phone, a PDA (Personal Digital Assistant, a personal digital assistant), a palm top PPC (Pocket PC), a tablet computer, etc.
Those skilled in the art will appreciate that the above-described vehicle 101 and terminal 102 are only examples, and that other vehicles or terminals that may be present in the present application or in the future are applicable to and within the scope of the embodiments of the present application and are incorporated herein by reference.
The method for adjusting the driving mode of the vehicle provided by the embodiment of the application is explained in detail below.
Fig. 2 is a flowchart of a method for adjusting a driving mode of a vehicle according to an embodiment of the present application, and it should be noted that, as shown in an implementation environment of fig. 1, the method shown in fig. 2 may be applied to a terminal, and optionally, may also be applied to a host machine of the vehicle. Fig. 2 is an illustration 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.
Wherein a plurality of sensors disposed on the vehicle collect running data indicating a state of the vehicle during running and/or a state of a driver in the vehicle, and transmit the running data to the terminal, so that the terminal obtains the running data of the vehicle.
In some embodiments, the travel data of the vehicle 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, 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 inflow collected by the throttle position sensor can indicate the power magnitude of an engine of the vehicle in the running process, and the roof height value collected by the height sensor can indicate the road surface condition of the vehicle in the running process or the vibration condition of the vehicle.
For example, after the terminal obtains the roof height values of the vehicle at each time in the driving process, the roof height value at the current time and the roof height value before the current time may be differentiated, the obtained difference is compared with the reference roof height difference, and if the obtained difference is smaller than or equal to the reference roof height difference, it is considered that the vehicle vibrates at the current time to cause the change of the roof height value. If the obtained difference is larger than the reference vehicle top height difference, the change of the vehicle top height value caused by the unevenness of the external road surface at the current time is considered. The reference vehicle roof height difference may be set in advance, which is not limited in the embodiment of the present application.
In this way, after the terminal obtains the driving data, the driving mode of the vehicle can be controlled based on the following step 202.
Step 202: based on the travel data, a driving mode of the vehicle is controlled.
Based on the description in the above application scenario, the driving mode of the vehicle includes one or more of an engine operation mode, a steering wheel operation mode, a fragrance operation mode, an atmosphere lamp operation mode, and an audio operation mode of the vehicle.
Each of the operation modes included in the vehicle driving mode will be described in detail below.
Engine operation mode:
in a scenario where the driving mode of the vehicle includes an engine operation mode of the vehicle, the vehicle is configured with a plurality of engine operation modes, and the engine operation power of the vehicle is different in different engine operation modes. That is, different operating states of the vehicle may be achieved based on different powers of the engine.
For example, the engine operation mode may be classified into an economy operation mode, a power operation mode, a standard operation mode, and the like. The engine power output of the vehicle is gentle, the transmission is positively shifted in the economical working mode, the power performance of the vehicle is reduced, the economical efficiency is improved, and the driving style of the whole vehicle is gentle. Under the power type working mode, the accelerator pedal is sensitive, the transmission delays gear shifting, the power performance of the vehicle is increased, the economy is reduced, and the driving style of the whole vehicle tends to be vigorous. And the dynamic property and economy of the whole vehicle are considered in the standard working mode, and the driving style of the whole vehicle is more conventional.
In some embodiments, the implementation procedure of the step 202 may be: a target engine operation mode matching the running data is selected from a plurality of engine operation modes, and an engine of the vehicle is controlled to operate based on an operation power corresponding to the target engine operation mode.
There may be two implementations in which the target engine operation mode matching the running data is selected from a plurality of engine operation modes.
In one possible implementation, each of the plurality of engine operating modes corresponds to an intake air amount section, a travel speed section, a travel acceleration section, a roof height section. In the case where the running data includes the intake air amount collected by the throttle position sensor on the vehicle, the intake air amount collected by the throttle position sensor is in the intake air amount section corresponding to the target engine operation mode. In the case where the running data includes 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 section corresponding to the target engine operation mode. In the case where the running data includes the vehicle running acceleration acquired by the acceleration sensor on the vehicle, the vehicle running acceleration acquired 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 a roof height collected by a height sensor on the vehicle, the roof height collected by the height sensor is in a 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 in the running data, the vehicle running speed, the vehicle running acceleration, and the roof height, or may be obtained based on a plurality of the intake air amount in the running data, the vehicle running speed, the vehicle running acceleration, and the roof height, which is not limited by the embodiment of the application.
The air inflow section, the running speed section, the running acceleration area and the roof height section corresponding to each engine working mode are obtained through research and development big data in advance. Since the process of obtaining the intake air amount section, the running speed section, the running acceleration section, and the roof height section corresponding to each engine operation mode is the same, the following method can be used for each engine operation mode to obtain the intake air amount section, the running speed section, the running acceleration section, and the roof height section corresponding to each engine operation mode. Therefore, the following description will take, as an example, an intake air amount section corresponding to the first engine operation mode.
The implementation process of obtaining the air inflow interval corresponding to the first engine working mode may be: and obtaining a plurality of air inflow corresponding to the first engine working mode based on the big data, and clustering the obtained air inflow to obtain an air inflow section in the first engine working mode. The difference between the maximum air input and the minimum air input in the air input interval does not exceed the reference air input difference, and the reference air input difference can be set in advance, which is not limited in the embodiment of the application.
After obtaining the air inflow section, the running speed section, the running acceleration section and the roof height section corresponding to each working mode, the terminal can determine the engine working mode of the vehicle based on the air inflow, the running speed, the running acceleration and the roof height of the vehicle acquired by each sensor. And when the air inflow, the running speed, the running acceleration and the roof height of the vehicle are all in the air inflow section, the running speed section, the running acceleration section and the roof height section corresponding to the target engine working mode, determining that the engine working mode of the vehicle is the target engine working 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 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 (intake air amount, vehicle running speed, vehicle running acceleration, and roof height). When determining the engine operation mode of the vehicle based on a part of the plurality of parameters, it is only necessary to determine that the part of the parameters is in the section of the part of the parameters corresponding to the operation 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 running 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 determine that the running speed of the vehicle is also located in a running speed section corresponding to the engine operation mode, the engine operation mode of the vehicle may be determined.
In another possible implementation manner, the air input collected by the throttle position sensor, the vehicle running speed collected by the vehicle speed sensor, the vehicle running acceleration collected by the acceleration sensor, and the roof height collected by the height sensor may be used as inputs of the first neural network model, so as to obtain an engine working mode output by the first neural network model.
The first neural network model is previously trained with small-scale samples including one or more of an intake air amount, a vehicle travel speed, a vehicle travel acceleration, and a roof height. Since the training of 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 roof height is the same. Therefore, the following description will be made taking an example in which the sample includes the intake air amount.
The implementation process of training the first neural network model by using the air inflow can be as follows: the method comprises the steps of obtaining a plurality of training samples and labeling each training sample in the plurality of training samples, wherein each training sample is an air inflow, 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 inputting the plurality of training samples and the labels of the training samples into an initialized neural network model, and learning the initialized neural network model to obtain the first neural network model. Through the training process, the first neural network model may determine an engine operating mode based on the intake air amount.
After obtaining the engine operation mode of the vehicle based on the running data (that is, selecting the target engine operation mode matching the running data from among the plurality of engine operation modes), the terminal may send a vehicle driving mode adjustment request to the vehicle, the vehicle driving mode adjustment request carrying information on the engine operation mode of the vehicle that needs to be adjusted. When the vehicle receives the vehicle driving mode adjustment request, the engine working mode of the vehicle is correspondingly adjusted according to the information carried in the vehicle driving mode adjustment request.
Steering wheel mode of operation:
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, the steering wheel of the vehicle having a different coefficient of rotational friction in the different steering wheel operating modes. That is, different steering feel of the vehicle steering wheel may be achieved based on different rotational friction coefficients of the steering wheel.
Illustratively, the steering wheel operation mode may be classified into a comfort operation mode, a power operation mode, a standard operation mode, and the like. The steering wheel has small rotation friction coefficient, increased steering power and light and flexible hand feeling. The rotation friction coefficient of the steering wheel of the vehicle is larger in the power-type working mode, the steering assistance of the steering wheel is reduced, and the hand feeling is stable. The rotation friction coefficient of the steering wheel of the vehicle is moderate in the standard working mode, the steering assistance of the steering wheel is moderate, and the hand feeling is moderate.
Accordingly, in this scenario, the implementation procedure 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. The steering wheel of the control vehicle operates based on the rotational friction coefficient corresponding to the target steering wheel operating 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 among 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 rotational angular velocity collected by a steering wheel angle sensor on the vehicle, the steering wheel rotational angular velocity collected by the steering wheel angle sensor is in a rotational 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. Because the process of obtaining the rotation angular velocity interval corresponding to each steering wheel working mode is the same, any steering wheel working mode can be operated according to the following method to obtain the rotation angular velocity interval corresponding to each steering wheel working mode. Therefore, the following description will take, as an example, a rotation angular velocity section corresponding to the first steering wheel operation mode.
The implementation process of obtaining the rotation angular velocity interval corresponding to the first steering wheel working mode may be: and obtaining a plurality of corresponding rotation angular speeds in the first steering wheel working mode based on the big data, and clustering the obtained rotation angular speeds to obtain a rotation angular speed section in 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 rotation angular speed of the steering wheel of the vehicle acquired by the steering wheel angle sensor. And when the steering wheel rotation angular speed of the vehicle is in the rotation 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 velocity of the vehicle is in the rotation angular velocity interval corresponding to the first steering wheel operation mode, it is determined that the steering wheel operation mode of the vehicle is the first steering wheel operation mode.
In another possible implementation, the steering wheel rotation angular velocity acquired by the steering wheel angle sensor may be used as an input of the second neural network model, so as to obtain a steering wheel working mode output by the second neural network model. The second neural network model is previously trained from small-scale samples, so that the steering wheel operating mode can be determined based on the steering wheel rotational angular velocity.
The implementation process of training the second neural network model can be as follows: the method comprises the steps of obtaining a plurality of training samples and labeling each training sample in the plurality of training samples, wherein each training sample is a steering wheel rotation angular speed, the labeling of each training sample is a steering wheel working mode corresponding to the corresponding steering wheel rotation angular speed, and the labeling of each training sample is manually calibrated. And then inputting a plurality of training samples and labels aiming at each training sample in the plurality of training samples into an initialized neural network model, and learning the initialized neural network model to obtain the second neural network model. Through this training process, the second neural network model may determine the steering wheel operating mode based on the steering wheel rotational angular velocity.
After obtaining the steering wheel operation mode of the vehicle based on the traveling data (that is, selecting the target steering wheel operation mode matching the traveling data from among the plurality of steering wheel operation modes), the terminal may send a vehicle driving mode adjustment request to the vehicle, where the vehicle driving mode adjustment request carries information that needs to adjust the steering wheel operation mode of the vehicle. When the vehicle receives the vehicle driving mode adjustment request, the steering wheel working mode of the vehicle is correspondingly adjusted according to the information carried in the vehicle driving mode adjustment request.
Fragrance operation mode, atmosphere lamp operation mode, sound operation mode:
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 face image of the driver acquired by a visual sensor on the vehicle, the implementation of the above step 202 may be divided into the following two steps:
step one: and determining whether the driver is in a fatigue driving state based on the face image.
There may be two ways of determining whether the driver is in the fatigue driving state in the first step.
In one possible implementation, 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 can be set in advance, and the embodiment of the application does not limit the method.
In another possible implementation manner, the face image of the driver acquired by the vision sensor may be used as an input of the third neural network model, so as to obtain the state of the driver output by the third neural network model. The third neural network model is trained through a small-scale sample in advance, so that the state of a 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 labeling each training sample in the plurality of training samples, wherein each training sample is a face image, the labeling of each training sample is the state of a driver corresponding to the corresponding face image, and the labeling of each training sample is manually calibrated. And inputting the plurality of training samples and the labels of the training samples into an initialized neural network model, and learning the initialized neural network model to obtain the third 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 states of the driver corresponding to the corresponding face image in the label of each training sample comprise 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 the fatigue driving state, determining that the driver corresponding to the face image is in the fatigue driving state, and adjusting the fragrance working mode and/or 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 a target fragrance working mode, and/or adjusting the atmosphere lamp working mode of the vehicle to a target atmosphere lamp working mode, and adjusting the sound working mode of the vehicle to a target sound working mode.
Wherein, under the target fragrance working mode, the fragrance is of a comfortable type, and the fragrance concentration is within the reference concentration. In the target atmosphere lamp working mode, the lamplight of the atmosphere lamp is a relaxation type lamplight, and the rotation mode of the lamplight is within the reference rotation mode. In the target sound working mode, the music types in the sound are all comfortable music, and the sound volume is within the reference volume. Wherein, the pleasant fragrance acts on taste sense, the pleasant light acts on vision, the pleasant music acts on hearing, so that the target fragrance working mode, the target atmosphere lamp working mode and the target sound working mode can properly relax the driver's mood from three aspects, eliminate the fatigue state of the driver, and enable the driver to relax the mood and operate the vehicle calmly. 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 the second step, if the driver is in the 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 operation mode, the atmosphere lamp operation mode and the sound operation mode can be adjusted at the same time. Of course, all three may be adjusted to the target operating mode. The embodiment of the present application is not limited thereto.
The engine operation mode, the steering wheel operation mode, the fragrance operation mode, the atmosphere lamp operation mode and the sound operation mode included in the vehicle driving mode are independent, that is, any one of the vehicle driving modes can be independently adjusted based on the running 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 atmosphere light operating mode, and/or an audible operating mode.
After the target engine operation mode matching 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 may be determined. The vehicle is controlled to operate in accordance with a target steering wheel operating mode, and/or a target fragrance operating mode, and/or a target atmosphere lamp operating mode, and/or a target sound operating mode.
That is, the different modes of operation of the engine correspond to respective ones of one or more of a steering wheel mode of operation, a fragrance mode of operation, an atmosphere light mode of operation, and an audio mode of operation. When the engine operation mode (target engine operation mode) is determined, the steering wheel operation mode, fragrance operation mode, atmosphere lamp operation mode, and sound operation mode corresponding thereto are also determined accordingly. At this time, one or more of the target steering wheel operation mode, the target fragrance operation mode, the target atmosphere lamp operation mode, and the target sound operation mode operation may be determined directly based on the target engine operation mode.
For example, when the vehicle running speed is not higher than 80 km/h, the vehicle running acceleration occurs at two angles of 3 m/square seconds and two angles of more than 45 degrees occur at the vehicle steering wheel within 10 seconds, at this time, the vehicle adjusts the engine operation mode to the power operation mode, and accordingly, the vehicle can adjust the steering wheel operation mode to the comfort operation mode, adjust the fragrance operation mode to release the pleasant fragrance gas, adjust the atmosphere lamp operation mode to display the green atmosphere, and adjust the sound operation mode to play the pleasant music, so that the driver of the vehicle can feel comfortable and operate the vehicle calmly.
The main body of the method for adjusting the driving mode of the vehicle may be a main body of the vehicle, in addition to the terminal. In the case where the execution body is a vehicle main body, the throttle position sensor, the vehicle speed sensor, the acceleration sensor, the vehicle body height sensor, the steering wheel angle sensor, and the vision sensor in the vehicle may directly transmit the acquired data to the vehicle main body, and the vehicle main body adjusts the driving mode of the vehicle based on the above steps 201 to 202.
In the event that the vehicle host adjusts the driving mode of the vehicle based on steps 201-202 described above, the method includes: the vehicle host acquires travel data of a vehicle indicating a state of the vehicle and/or a driver in the vehicle during travel of the vehicle. The vehicle host controls a driving mode of the vehicle based on the traveling data.
In particular, the implementation process of the method for adjusting the driving mode of the vehicle by the vehicle host machine may refer to the relevant content in the embodiment of fig. 2, which is not described herein.
For example, as shown in fig. 3, an EMS (Engine Management System ) in the host vehicle may determine an engine operation mode of the vehicle based on an intake air amount of the vehicle collected by a throttle position sensor. An EPS (Electric Power Steering, electric power steering system) in a vehicle host can determine a steering wheel operation mode of the vehicle based on a rotational angular velocity of a steering wheel of the vehicle, which is acquired by a steering wheel angle sensor. The fragrance system control module in the vehicle host can determine a fragrance operating 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 mood light operating mode of the vehicle based on the face image captured by the vision sensor. An IHU (Infotainment Head Unit, infotainment host) in the vehicle host may also determine the vehicle's acoustic mode of operation based on the face image captured 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 through various sensors on the vehicle, the terminal or the vehicle host judges the information of the power demand of the vehicle, the state of a driver and the like, and the engine working mode of the vehicle is intelligently adjusted based on the information. In addition, the embodiment of the application can simultaneously adjust the steering wheel working mode, the optimal fragrance working mode under the engine working mode, the matched atmosphere lamp working mode and the sound working mode, improve the safety of vehicles and vehicle staff, and simultaneously realize the optimal configuration of each working mode of the vehicles by comprehensively adjusting the space atmosphere of the vehicles through gustation, vision, hearing and the like, thereby improving the drivability and comfort of the vehicles and improving the charm of the vehicles.
Fig. 4 is a schematic structural diagram of a device for adjusting a driving mode of a vehicle according to an embodiment of the present application, where the device for adjusting a driving mode of a vehicle may be implemented by software, hardware, or a combination of both. Referring to fig. 4, the apparatus includes: an acquisition module 401 and a control module 402.
An acquisition module 401 for acquiring running data of a vehicle, the running data indicating a state of the vehicle and/or a driver in the vehicle during running of the vehicle;
A control module 402 for controlling a driving mode of the vehicle based on the driving data.
Optionally, the driving mode includes an engine operation mode of the vehicle, the vehicle is configured with a plurality of engine operation modes, and the engine of the vehicle has different operation powers in different engine operation modes;
a control module 402 comprising:
a selection sub-module for selecting a target engine operating mode matching the travel data from a plurality of engine operating modes;
and the first control sub-module 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 driving data includes one or more of an air inflow acquired by a throttle position sensor on the vehicle, a vehicle driving speed acquired by a vehicle speed sensor on the vehicle, a vehicle driving acceleration acquired by an acceleration sensor on the vehicle, and a roof height acquired by a height sensor on the vehicle, and each of the plurality of engine operation modes corresponds to an air inflow section, a driving speed section, a driving acceleration section, and a roof height section;
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;
When the driving data comprise the driving speed of the vehicle collected by a vehicle speed sensor on the vehicle, the driving speed of the vehicle collected by the vehicle speed sensor is in a driving speed interval corresponding to the target engine working mode;
under the condition that the driving data comprise the driving acceleration of the vehicle, which is acquired by an acceleration sensor on the vehicle, the driving acceleration of the vehicle, which is acquired by the acceleration sensor, is in a driving acceleration section corresponding to the working mode of the target engine;
in the case where the travel data includes a roof height collected by a height sensor on the vehicle, the roof height collected by the height sensor is in a roof height section corresponding to the target engine operation mode.
Optionally, the driving mode includes a steering wheel working mode of the vehicle, the vehicle is configured with a plurality of steering wheel working modes, the steering wheel of the vehicle has different rotation friction coefficients under different steering wheel working modes, and the driving data includes a rotation 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 operation mode matched with the rotation angular speed from a plurality of steering wheel operation modes;
the steering wheel of the control vehicle operates based on the rotational friction coefficient corresponding to the target steering wheel operating mode.
Optionally, the driving mode 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 face image of the driver acquired by a visual sensor on the vehicle;
a control module 402 for:
determining whether the driver is in a fatigue driving state based on the face image;
if the driver is in a fatigue driving state, the fragrance working mode of the vehicle is adjusted to be a target fragrance working mode, and/or the atmosphere lamp working mode of the vehicle is adjusted to be a target atmosphere lamp working mode, and/or the sound working mode of the vehicle is adjusted to be a target sound working mode.
Optionally, each of 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 an audio operating mode;
the control module 402 further includes:
the determining submodule is used for 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;
the second control submodule is used for controlling the vehicle to work according to the target steering wheel working mode, and/or the target fragrance working mode, and/or the target atmosphere lamp working mode, and/or 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 through various sensors on the vehicle, the terminal or the vehicle host judges the information of the power demand of the vehicle, the state of a driver and the like, and the engine working mode of the vehicle is intelligently adjusted based on the information. In addition, the embodiment of the application can simultaneously adjust the steering wheel working mode, the optimal fragrance working mode under the engine working mode, the matched atmosphere lamp working mode and the sound working mode, improve the safety of vehicles and vehicle staff, and simultaneously realize the optimal configuration of each working mode of the vehicles by comprehensively adjusting the space atmosphere of the vehicles through gustation, vision, hearing and the like, thereby improving the drivability and comfort of the vehicles and improving the charm of the vehicles.
It should be noted that: the device for adjusting the driving mode of the vehicle provided in the above embodiment is only exemplified by the division of the above functional modules when adjusting the driving mode of the vehicle, and in practical application, the above functional allocation may be performed by different functional modules according to needs, i.e. 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 provided in the foregoing embodiment belongs to the same concept as the method embodiment for adjusting the driving mode of the vehicle, and the specific implementation process is detailed in the method embodiment, which is 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.
Processor 501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 501 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 501 may also include a main processor and a coprocessor, the main processor being a processor for processing data in an awake state, also referred to as a CPU (Central Processing Unit ); 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, image processor) for taking care of rendering and rendering of content that the display screen is required to display. In some embodiments, the processor 501 may also include an AI (Artificial Intelligence ) processor for processing computing operations related to machine learning.
Memory 502 may include one or more computer-readable storage media, which may be non-transitory. Memory 502 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 502 is used to store at least one instruction for execution by processor 501 to implement a method of adjusting a driving mode of a vehicle provided by a method embodiment of the present application.
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 buses or signal lines. The individual peripheral devices may be connected to the peripheral device interface 503 by buses, signal lines or circuit boards. Specifically, the peripheral device includes: at least one of radio frequency circuitry 504, a display 505, a camera assembly 506, audio circuitry 507, a positioning assembly 508, and a power supply 509.
Those skilled in the art will appreciate that the structure shown in fig. 5 is not limiting and that more or fewer components than shown may be included or certain components may be combined or a different arrangement of components may be employed.
The embodiment of the application also provides a non-transitory computer readable storage medium, which when the instructions in the storage medium are executed by a processor of the terminal, enables the terminal to execute the method for adjusting the driving mode of the vehicle provided by the above embodiment.
The embodiment of the application also provides a computer program product containing instructions, which when run on a terminal, cause the terminal to execute the method for adjusting the driving mode of the vehicle provided by the embodiment.
It will be appreciated that in particular embodiments of the present application, related travel data such as face images indicating the status of a driver in a vehicle are involved, and when the above embodiments of the present application are applied to particular products or technologies, user approval or consent is required, and the collection, use and processing of related data is required to comply with the relevant laws and regulations and standards of the relevant country and region.
The foregoing description of the preferred embodiments of the present application is not intended to limit the embodiments of the present application, but is intended to cover any modifications, equivalents, improvements or alternatives falling within the spirit and principles of the embodiments of the present application.
Claims (6)
1. A method of adjusting a driving mode of a vehicle, the method comprising:
Acquiring driving data of a vehicle, wherein the driving data indicate 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 driving data, wherein the driving mode comprises an engine operation mode of the vehicle, the vehicle is configured with a plurality of engine operation modes, the engine of the vehicle has different operation power under different engine operation modes, and each of the plurality of engine operation modes corresponds to a steering wheel operation mode, a fragrance operation mode, an atmosphere lamp operation mode and an audio operation mode;
the controlling the driving mode of the vehicle based on the travel data includes:
selecting a target engine operating mode from the plurality of engine operating modes that matches the travel data; controlling an engine of the vehicle to work based on the working power corresponding to the target engine working mode;
wherein the driving data comprises air inflow acquired by a throttle position sensor on the vehicle, vehicle driving speed acquired by a vehicle speed sensor on the vehicle, vehicle driving acceleration acquired by an acceleration sensor on the vehicle and roof height acquired by a height sensor on the vehicle, and each of the plurality of engine working modes corresponds to an air inflow section, a driving speed section, a driving acceleration section and a roof height section; the air inflow acquired by the throttle position sensor is in an air inflow interval corresponding to the target engine working mode; the vehicle running speed acquired by the vehicle speed sensor is in a running speed interval corresponding to the target engine working mode; the vehicle running acceleration acquired by the acceleration sensor is in a running acceleration interval corresponding to the target engine working mode; the roof height acquired by the height sensor is in a roof height section corresponding to the target engine working mode;
After the selecting a target engine operating mode from the plurality of engine operating modes that matches the travel data, the method further includes:
determining a steering wheel working mode, a fragrance working mode, an atmosphere lamp working mode and a sound working mode corresponding to the target engine working mode;
and controlling the vehicle to work according to a steering wheel working mode, a fragrance working mode, an atmosphere lamp working mode and a sound working mode which correspond to the target engine working mode.
2. The method of claim 1, wherein the vehicle is configured with a plurality of steering wheel modes of operation, the steering wheel of the vehicle having a different coefficient of rotational friction for different steering wheel modes of operation, the travel data further comprising a rotational angular velocity of the steering wheel collected by a steering wheel angle sensor on the vehicle;
the controlling the driving mode of the vehicle based on the travel data further includes:
selecting a target steering wheel working mode matched with the rotation angular speed from the plurality of steering wheel working modes;
and controlling the steering wheel of the vehicle to work based on the rotation friction coefficient corresponding to the target steering wheel working mode.
3. The method of claim 1, wherein the travel data comprises a face image of the driver acquired by a vision sensor on the vehicle;
the controlling the driving mode of the vehicle based on the travel data further 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 fragrance working mode of the vehicle to a target fragrance working mode, and/or adjusting the atmosphere lamp working mode of the vehicle to a target atmosphere lamp working mode, and/or adjusting the sound working mode of the vehicle to a target sound working mode.
4. An apparatus for adjusting a driving mode of a vehicle, the apparatus comprising:
an acquisition module for acquiring travel data of a vehicle, the travel data indicating a state of the vehicle and/or a driver in the vehicle during travel of the vehicle;
the control module is used for controlling a driving mode of the vehicle based on the driving data, the driving mode comprises an engine working mode of the vehicle, the vehicle is provided with a plurality of engine working modes, the working power of an engine of the vehicle is different in different engine working modes, and each engine working mode in the plurality of engine working modes corresponds to a steering wheel working mode, a fragrance working mode, an atmosphere lamp working mode and an audio working mode;
The control module is used for: selecting a target engine operating mode from the plurality of engine operating modes that matches the travel data; controlling an engine of the vehicle to work based on the working power corresponding to the target engine working mode;
wherein the driving data comprises air inflow acquired by a throttle position sensor on the vehicle, vehicle driving speed acquired by a vehicle speed sensor on the vehicle, vehicle driving acceleration acquired by an acceleration sensor on the vehicle and roof height acquired by a height sensor on the vehicle, and each of the plurality of engine working modes corresponds to an air inflow section, a driving speed section, a driving acceleration section and a roof height section; the air inflow acquired by the throttle position sensor is in an air inflow interval corresponding to the target engine working mode; the vehicle running speed acquired by the vehicle speed sensor is in a running speed interval corresponding to the target engine working mode; the vehicle running acceleration acquired by the acceleration sensor is in a running acceleration interval corresponding to the target engine working mode; the roof height acquired by the height sensor is in a roof height section corresponding to the target engine working mode;
The control module further comprises:
the determining submodule is used for determining a steering wheel working mode, a fragrance working mode, an atmosphere lamp working mode and a sound working mode which correspond to the target engine working mode;
and the second control submodule is used for controlling the vehicle to work according to a steering wheel working mode, a fragrance working mode, an atmosphere lamp working mode and a sound working mode which correspond to the target engine working mode.
5. 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 3.
6. A computer readable storage medium having stored thereon instructions which, when executed by a processor, implement the steps of the method of any of the preceding claims 1 to 3.
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