Vehicle crosswind stability detection method and device, vehicle and storage medium

Abstract

The invention relates to the technical field of vehicles, in particular to a vehicle crosswind stability detection method and device, a vehicle and a storage medium, and the method comprises the steps: controlling the vehicle to enter a crosswind stability monitoring mode under the condition that the vehicle is detected to be in a preset bridge road condition, the actual vehicle speed, the steering wheel angle, the lateral acceleration and the yaw velocity of the vehicle are obtained, the wind power grade of the area where the vehicle is located currently is determined, the crosswind stability factor of the vehicle is generated according to at least one of the obtained information, and when the actual distance between the vehicle and the front vehicle is larger than the preset distance, the crosswind stability factor is generated. And performing crosswind stability control on the vehicle by using the crosswind stability factor until the vehicle exits the crosswind stability monitoring mode. Therefore, the problems that in the prior art, only the yaw velocity of the vehicle is used as the judgment basis of the yaw of the vehicle, limitation exists, errors exist in the detection result of the yaw of the vehicle, the detection requirements of complex road conditions cannot be met, and the stability and safety of the vehicle are reduced are solved.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a method, device, vehicle and storage medium for detecting vehicle sidewind stability. Background Art

[0002] With the development of the automobile industry, vehicles are traveling at higher and higher speeds. In complex natural environments where vehicles are traveling, the faster speed of vehicles in a natural environment with fast wind speeds will cause the vehicle to be more affected by the crosswind. When the vehicle is affected by the crosswind to a certain extent, it will cause the vehicle to deviate from the driving lane. In more serious cases, it will cause the vehicle to lose control, skid or roll over.

[0003] In the related art, the actual yaw velocity of the vehicle is obtained through actual detection, and the target yaw velocity is calculated, the difference between the actual yaw velocity and the target yaw velocity is compared, and the difference is compared with the yaw velocity threshold range, and the counter-braking force provided to the wheels of the vehicle is controlled according to the comparison result. By providing a counter-braking force formed at the rotation center of the vehicle in the opposite direction of the yaw direction, the yaw state of the vehicle is corrected, the vehicle is returned to the correct driving lane, and the vehicle is prevented from losing control.

[0004] However, the related art only uses the vehicle's yaw angular velocity as the basis for judging the vehicle's yaw, which has limitations and leads to errors in the detection results of the vehicle's yaw. It cannot be applied to the detection requirements of complex road conditions, reduces the stability and safety of the vehicle, and needs to be solved urgently. Summary of the invention

[0005] The present application provides a method, device, vehicle and storage medium for detecting the crosswind stability of a vehicle, so as to solve the problem that the related art only uses the yaw angular velocity of the vehicle as the basis for judging the vehicle yaw, which has limitations, leads to errors in the detection results of the vehicle yaw, cannot be applied to the detection requirements of complex road conditions, and reduces the stability and safety of the vehicle.

[0006] The first aspect of the present application provides a method for detecting the sidewind stability of a vehicle, comprising the following steps: detecting whether the vehicle is in a preset bridge road condition; when it is detected that the vehicle is in the preset bridge road condition, controlling the vehicle to enter a sidewind stability monitoring mode, obtaining the actual vehicle speed, steering wheel angle, lateral acceleration and yaw angular velocity of the vehicle, and determining the wind force level of the area where the vehicle is currently located; generating a sidewind stability factor of the vehicle according to at least one of the actual vehicle speed, the steering wheel angle, the lateral acceleration, the yaw angular velocity and the wind force level, and determining whether the actual distance between the vehicle and the vehicle in front is greater than the preset distance, wherein if the actual distance is greater than the preset distance, the sidewind stability factor is used to control the sidewind stability of the vehicle until the vehicle exits the sidewind stability monitoring mode.

[0007] Optionally, in one embodiment of the present application, the detecting whether the vehicle is in a preset bridge road condition includes: acquiring road navigation information in an onboard navigation of the vehicle; and detecting whether the vehicle is in the preset bridge road condition based on the road navigation information.

[0008] Optionally, in one embodiment of the present application, the sidewind stability control of the vehicle is performed using the sidewind stability factor until the vehicle exits the sidewind stability monitoring mode, including: determining whether the sidewind stability factor is greater than a preset threshold; if the sidewind stability factor is greater than the preset threshold, determining that the vehicle is disturbed by the sidewind, so as to perform the sidewind stability control of at least one of steering control, braking control, power output control and suspension control on the vehicle, and detecting whether the vehicle leaves the preset bridge road condition; if it is detected that the vehicle leaves the preset bridge road condition, exiting the sidewind stability monitoring mode.

[0009] Optionally, in one embodiment of the present application, before using the sidewind stability factor to perform sidewind stability control on the vehicle, it also includes: if the actual distance is less than or equal to the preset distance, setting the sidewind stability factor to 0 and exiting the sidewind stability monitoring mode.

[0010] Optionally, in one embodiment of the present application, after using the sidewind stability factor to control the sidewind stability of the vehicle, it also includes: determining the sidewind stability level of the vehicle according to the wind force level and the sidewind stability factor; using the sidewind stability level to match the safety reminder method of the vehicle, wherein the safety reminder method includes a voice reminder method and a pop-up screen reminder method.

[0011] The second aspect of the present application provides a device for detecting the sidewind stability of a vehicle, comprising: a detection module for detecting whether the vehicle is in a preset bridge road condition; an acquisition module for controlling the vehicle to enter a sidewind stability monitoring mode when detecting that the vehicle is in a preset bridge road condition, acquiring the actual vehicle speed, steering wheel angle, lateral acceleration and yaw angular velocity of the vehicle, and determining the wind force level of the area where the vehicle is currently located; a control module for generating a sidewind stability factor of the vehicle based on at least one of the actual vehicle speed, the steering wheel angle, the lateral acceleration, the yaw angular velocity and the wind force level, and determining whether the actual distance between the vehicle and the vehicle in front is greater than the preset distance, wherein if the actual distance is greater than the preset distance, the sidewind stability factor is used to control the sidewind stability of the vehicle until the vehicle exits the sidewind stability monitoring mode.

[0012] Optionally, in one embodiment of the present application, the detection module includes: an acquisition unit, used to acquire road navigation information in the vehicle's onboard navigation; and a first detection unit, used to detect whether the vehicle is in the preset bridge road condition based on the road navigation information.

[0013] Optionally, in one embodiment of the present application, the control module includes: a judgment unit, used to judge whether the sidewind stability factor is greater than a preset threshold; a judgment unit, used to judge that the vehicle is disturbed by sidewind if the sidewind stability factor is greater than the preset threshold, so as to perform the sidewind stability control of at least one of steering control, braking control, power output control and suspension control on the vehicle, and detect whether the vehicle leaves the preset bridge road condition; a second detection unit, used to exit the sidewind stability monitoring mode when it is detected that the vehicle leaves the preset bridge road condition.

[0014] Optionally, in one embodiment of the present application, the device of the embodiment of the present application also includes: a processing module, which is used to set the sidewind stability factor to 0 and exit the sidewind stability monitoring mode if the actual distance is less than or equal to the preset distance before using the sidewind stability factor to perform sidewind stability control on the vehicle.

[0015] Optionally, in one embodiment of the present application, the device of the embodiment of the present application also includes: a determination module, used to determine the sidewind stability level of the vehicle according to the wind force level and the sidewind stability factor after using the sidewind stability factor to control the sidewind stability of the vehicle; a reminder module, used to match the safety reminder method of the vehicle using the sidewind stability level after using the sidewind stability factor to control the sidewind stability of the vehicle, wherein the safety reminder method includes a voice reminder method and a pop-up screen reminder method.

[0016] A third aspect of the present application provides a vehicle, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle sidewind stability detection method as described in the above embodiment.

[0017] A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned method for detecting vehicle sidewind stability.

[0018] A fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned vehicle side wind stability detection method.

[0019] The embodiment of the present application can control the vehicle to enter the crosswind stability monitoring mode when it is detected that the vehicle is in a preset bridge road condition, obtain the actual vehicle speed, steering wheel angle, lateral acceleration and yaw angular velocity of the vehicle, and determine the wind force level of the area where the vehicle is currently located, and generate the vehicle's crosswind stability factor based on at least one of the acquired information, and when the actual distance between the vehicle and the vehicle in front is greater than the preset distance, use the crosswind stability factor to control the vehicle's crosswind stability until the vehicle exits the crosswind stability monitoring mode, effectively improving the stability and safety of the vehicle. Thus, the problem of the related art that only uses the vehicle's yaw angular velocity as the basis for judging the vehicle's yaw is solved, which has limitations, resulting in errors in the detection results of the vehicle's yaw, and cannot be applied to the detection requirements of complex road conditions, reducing the stability and safety of the vehicle.

[0020] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0022] Figure 1 A flow chart of a method for detecting vehicle sidewind stability provided according to an embodiment of the present application;

[0023] Figure 2 This is a schematic diagram of the detection principle of vehicle side wind stability according to a specific embodiment of the present application;

[0024] Figure 3 A schematic diagram of the structure of a vehicle sidewind stability detection device provided according to an embodiment of the present application;

[0025] Figure 4 It is a schematic diagram of the structure of a vehicle provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0027] The following describes the detection method, device, vehicle and storage medium of the vehicle sidewind stability of the embodiment of the present application with reference to the accompanying drawings. In view of the limitations of the related art mentioned in the background technology center, which only uses the yaw angular velocity of the vehicle as the basis for judging the yaw of the vehicle, the detection result of the vehicle yaw is error-prone, and it cannot be applied to the detection requirements of complex road conditions, and the stability and safety of the vehicle are reduced. The present application provides a detection method for the sidewind stability of the vehicle. In the method, when it is detected that the vehicle is in a preset bridge road condition, the vehicle can be controlled to enter the sidewind stability monitoring mode, the actual vehicle speed, steering wheel angle, lateral acceleration and yaw angular velocity of the vehicle are obtained, and the wind force level of the area where the vehicle is currently located is determined, and the sidewind stability factor of the vehicle is generated according to at least one of the obtained information, and when the actual distance between the vehicle and the front vehicle is greater than the preset distance, the sidewind stability factor is used to control the sidewind stability of the vehicle until the vehicle exits the sidewind stability monitoring mode, effectively improving the stability and safety of the vehicle. Therefore, the problem that the yaw angular velocity of the vehicle is used as the basis for judging the yaw of the vehicle in the related art is solved, which has limitations, cannot be applied to the detection requirements of complex road conditions, and reduces the stability and safety of the vehicle.

[0028] Specifically, Figure 1 A schematic flow chart of a method for detecting vehicle sidewind stability provided in an embodiment of the present application.

[0029] like Figure 1 As shown, the vehicle side wind stability detection method comprises the following steps:

[0030] In step S101, it is detected whether the vehicle is in a preset bridge road condition.

[0031] In the embodiment of the present application, the preset bridge road condition is an area where vehicles need to "pay attention to crosswinds" when traveling on bridges, elevated roads, open areas, tunnel exits, and other areas.

[0032] It can be understood that the embodiments of the present application can detect whether the vehicle is in a preset bridge road condition. For example, the embodiments of the present application can determine whether the vehicle is driving on a bridge road condition through the vehicle navigation, and when it is detected that the vehicle is driving on a bridge road condition, the vehicle stability control can be performed to improve the safety of the vehicle.

[0033] Optionally, in one embodiment of the present application, detecting whether the vehicle is in a preset bridge road condition includes: acquiring road navigation information in the vehicle's onboard navigation; and detecting whether the vehicle is in a preset bridge road condition based on the road navigation information.

[0034] In the actual implementation process, Figure 2 As shown, the embodiment of the present application can obtain road navigation information in the vehicle's on-board navigation, for example, match the vehicle's current position with the bridge position in the bridge database, and determine whether the vehicle is within the range of a certain bridge. When the vehicle is traveling within the range of a certain bridge, it can be determined that the vehicle is in a bridge road condition, effectively improving the timeliness of vehicle stability control.

[0035] In addition, if Figure 2 As shown, the embodiment of the present application can also use the vehicle body camera to collect road signs on the side of the road. When a sign with "Beware of Crosswinds" is collected, it can be determined that the vehicle is in a bridge road condition, effectively improving the diversity of vehicle stability control.

[0036] In step S102, when it is detected that the vehicle is in a preset bridge road condition, the vehicle is controlled to enter a crosswind stability monitoring mode, the actual vehicle speed, steering wheel angle, lateral acceleration and yaw angular velocity of the vehicle are obtained, and the wind force level of the vehicle's current area is determined.

[0037] It is understandable that the embodiment of the present application can control the vehicle to enter the crosswind stability monitoring mode when it is detected that the vehicle is in a bridge condition, for example, Figure 2 As shown, the embodiment of the present application can activate the vehicle sidewind stability judgment process, and set the sidewind stability monitoring activation flag position to 1, receive vehicle sensor information, obtain the vehicle's actual speed, steering wheel angle, lateral acceleration and yaw angular velocity, and determine the wind force level of the vehicle's current area through weather forecasts and other information, effectively improving the comprehensiveness and reliability of the vehicle's sidewind stability monitoring.

[0038] In step S103, a crosswind stability factor of the vehicle is generated according to at least one of the actual vehicle speed, steering wheel angle, lateral acceleration, yaw angular velocity and wind force level, and it is determined whether the actual distance between the vehicle and the vehicle in front is greater than a preset distance. If the actual distance is greater than the preset distance, the crosswind stability factor is used to control the crosswind stability of the vehicle until the vehicle exits the crosswind stability monitoring mode.

[0039] It can be understood that the embodiment of the present application can generate the crosswind stability factor of the vehicle according to at least one of the actual vehicle speed, steering wheel angle, lateral acceleration, yaw rate and wind force level. In addition, the crosswind stability factor of the vehicle can be generated according to multiple information of the actual vehicle speed, steering wheel angle, lateral acceleration, yaw rate and wind force level to improve the accuracy of the crosswind stability factor. Then, it can be determined whether the actual distance between the vehicle and the leading vehicle is greater than a certain distance, for example, Figure 2 As shown, the embodiment of the present application can determine the distance between the vehicle and the vehicle directly in front through the vehicle's front camera or radar information. When the actual distance is greater than a certain distance, the sidewind stability factor is used to control the vehicle's sidewind stability until the vehicle exits the sidewind stability monitoring mode. For example, when it is determined based on the vehicle's navigation information that the vehicle has left a bridge or a crosswind sensitive area, the sidewind stability monitoring process is exited, which effectively improves the safety and reliability of the vehicle and enhances the user's driving experience.

[0040] It should be noted that the preset distance is set by those skilled in the art according to actual conditions and is not specifically limited here.

[0041] For example, the embodiment of the present application can use the lateral acceleration, yaw rate, steering wheel angle (or suspension height sensor) information to obtain the straight-line driving single factor factors respectively through the interpolation function, and then multiply them to generate the straight-line driving state factor, that is, the crosswind stability factor, wherein Table 1 is the input and output table of each parameter, and the specific Table 1 is as follows:

[0042] Table 1

[0043]

[0044] Among them, the specific algorithm of the straight-line driving state factor is:

[0045] CoGerade0=P_CoslFilvGi*vGiF.abs()*vFzRef+P_CoslFilLw*LwWheel.abs()*vFzRef+P_CoDvGiCoStraight*DvGiF.abs();

[0046] In the embodiment of the present application, the comprehensive straight driving coefficient CoGerade0 can be obtained by multiplying the absolute value of the yaw angular velocity by the vehicle speed, the absolute value of the front axle angle by the vehicle speed and the absolute value of the yaw angular acceleration by the corresponding weighted coefficients. It can be seen that the CoGerade0 value is smaller in straight driving conditions, while the CoGerade0 value is larger in curved driving conditions.

[0047] Optionally, in one embodiment of the present application, the sidewind stability factor is used to perform sidewind stability control on the vehicle until the vehicle exits the sidewind stability monitoring mode, including: determining whether the sidewind stability factor is greater than a preset threshold; if the sidewind stability factor is greater than the preset threshold, determining that the vehicle is disturbed by the sidewind, so as to perform sidewind stability control of at least one of steering control, braking control, power output control and suspension control on the vehicle, and detecting whether the vehicle leaves a preset bridge road condition; if it is detected that the vehicle leaves the preset bridge road condition, exiting the sidewind stability monitoring mode.

[0048] For example, the embodiment of the present application can determine whether the sidewind stability factor is greater than a certain threshold value. When the sidewind stability factor is greater than a certain threshold value, it is determined that the vehicle is disturbed by the sidewind, and a corresponding flag bit will be generated. For example, the sidewind stability monitoring activation flag position is 1. This flag bit can be used as a logical switch for the actuator to turn on the sidewind stability control to perform at least one of the steering control, braking control, power output control and suspension control on the vehicle. Then, it can detect whether the vehicle has left the bridge road condition. For example, when it is determined according to the vehicle navigation information that the vehicle has left the bridge or the crosswind sensitive area, the sidewind stability monitoring process is exited, which effectively improves the user's driving experience.

[0049] It should be noted that the preset threshold is set by those skilled in the art according to actual conditions and is not specifically limited here.

[0050] Optionally, in one embodiment of the present application, before using the sidewind stability factor to control the sidewind stability of the vehicle, it also includes: if the actual distance is less than or equal to the preset distance, setting the sidewind stability factor to 0 and exiting the sidewind stability monitoring mode.

[0051] For example, Figure 2 As shown, when the actual distance between the vehicle and the vehicle in front is less than or equal to a certain distance, the sidewind stability factor is set to 0, the sidewind stability monitoring mode is exited, and a safe distance from the vehicle in front is maintained to ensure that sidewind stability control is performed only when necessary, thereby improving the safety of vehicle driving.

[0052] Optionally, in one embodiment of the present application, after using the sidewind stability factor to control the sidewind stability of the vehicle, it also includes: determining the sidewind stability level of the vehicle based on the wind force level and the sidewind stability factor; using the sidewind stability level to match the vehicle's safety reminder method, wherein the safety reminder method includes a voice reminder method and a pop-up screen reminder method.

[0053] For example, the embodiments of the present application can obtain the current wind force level through vehicle-mounted sensors or external meteorological services, calculate the current crosswind stability factor through the crosswind stability control algorithm, and thus determine the vehicle's crosswind stability level based on the wind force level and the crosswind stability factor. For example, when the crosswind stability level is level one, it means that the vehicle is less disturbed by the crosswind, and the driver can be reminded to pay attention to safety through a pop-up window on the central control screen; when the crosswind stability level is level two, it means that the vehicle is generally disturbed by the crosswind, and the driver can be reminded to pay attention to safety through voice; when the crosswind stability level is level three, it means that the vehicle is greatly disturbed by the crosswind, and the driver can be reminded to pay attention to safety through voice, and a text reminder to pay attention to crosswind interference is issued through the central control screen and the instrument panel at the same time; thereby improving the driver's alertness and driving safety, and reducing traffic accidents caused by crosswind.

[0054] According to the detection method of vehicle crosswind stability proposed in the embodiment of the present application, when it is detected that the vehicle is in a preset bridge road condition, the vehicle can be controlled to enter the crosswind stability monitoring mode, the actual vehicle speed, steering wheel angle, lateral acceleration and yaw angular velocity of the vehicle can be obtained, and the wind force level of the area where the vehicle is currently located can be determined, and the crosswind stability factor of the vehicle can be generated according to at least one of the acquired information, and when the actual distance between the vehicle and the vehicle in front is greater than the preset distance, the crosswind stability factor can be used to control the crosswind stability of the vehicle until the vehicle exits the crosswind stability monitoring mode, effectively improving the stability and safety of the vehicle. Thus, the problem that the yaw angular velocity of the vehicle is used as the basis for judging the yaw of the vehicle in the related technology is solved, which has limitations and cannot be applied to the detection requirements of complex road conditions, and reduces the stability and safety of the vehicle.

[0055] Next, a detection device for vehicle sidewind stability proposed in an embodiment of the present application will be described with reference to the accompanying drawings.

[0056] Figure 3 It is a block diagram of a device for detecting vehicle sidewind stability according to an embodiment of the present application.

[0057] like Figure 3 As shown, the vehicle sidewind stability detection device 10 includes: a detection module 100, an acquisition module 200 and a control module 300.

[0058] Specifically, the detection module 100 is used to detect whether the vehicle is in a preset bridge road condition.

[0059] The acquisition module 200 is used to control the vehicle to enter the crosswind stability monitoring mode when it is detected that the vehicle is in a preset bridge road condition, obtain the vehicle's actual speed, steering wheel angle, lateral acceleration and yaw angular velocity, and determine the wind force level in the current area where the vehicle is located.

[0060] The control module 300 is used to generate a crosswind stability factor of the vehicle according to at least one of the actual vehicle speed, the steering wheel angle, the lateral acceleration, the yaw angular velocity and the wind force level, and to determine whether the actual distance between the vehicle and the preceding vehicle is greater than a preset distance, wherein if the actual distance is greater than the preset distance, the crosswind stability factor is used to perform crosswind stability control on the vehicle until the vehicle exits the crosswind stability monitoring mode.

[0061] Optionally, in one embodiment of the present application, the detection module 100 includes: an acquisition unit and a first detection unit.

[0062] The acquisition unit is used to acquire road navigation information in the vehicle's onboard navigation.

[0063] The first detection unit is used to detect whether the vehicle is in a preset bridge road condition based on road navigation information.

[0064] Optionally, in one embodiment of the present application, the control module 300 includes: a judgment unit, a determination unit and a second detection unit.

[0065] The judgment unit is used to judge whether the crosswind stability factor is greater than a preset threshold.

[0066] The determination unit is used to determine whether the vehicle is disturbed by the side wind if the side wind stability factor is greater than a preset threshold value, so as to perform side wind stability control on the vehicle including at least one of steering control, braking control, power output control and suspension control, and detect whether the vehicle has left a preset bridge road condition.

[0067] The second detection unit is used to exit the crosswind stability monitoring mode when it is detected that the vehicle leaves a preset bridge road condition.

[0068] Optionally, in one embodiment of the present application, the device 10 of the embodiment of the present application further includes: a processing module.

[0069] Among them, the processing module is used to set the sidewind stability factor to 0 and exit the sidewind stability monitoring mode if the actual distance is less than or equal to the preset distance before using the sidewind stability factor to control the sidewind stability of the vehicle.

[0070] Optionally, in one embodiment of the present application, the device 10 of the embodiment of the present application further includes: a determination module and a reminder module.

[0071] The determination module is used to determine the sidewind stability level of the vehicle according to the wind force level and the sidewind stability factor after the sidewind stability factor is used to control the sidewind stability of the vehicle.

[0072] The reminder module is used to match the vehicle's safety reminder mode using the side wind stability level after using the side wind stability factor to control the vehicle's side wind stability, wherein the safety reminder mode includes a voice reminder mode and a pop-up screen reminder mode.

[0073] It should be noted that the aforementioned explanation of the embodiment of the vehicle sidewind stability detection method is also applicable to the vehicle sidewind stability detection device of this embodiment, and will not be repeated here.

[0074] According to the detection device for vehicle sidewind stability proposed in the embodiment of the present application, when it is detected that the vehicle is in a preset bridge road condition, the vehicle can be controlled to enter the sidewind stability monitoring mode, the actual vehicle speed, steering wheel angle, lateral acceleration and yaw angular velocity of the vehicle can be obtained, and the wind force level of the area where the vehicle is currently located can be determined, and the vehicle's sidewind stability factor can be generated according to at least one of the obtained information, and when the actual distance between the vehicle and the vehicle in front is greater than the preset distance, the sidewind stability factor can be used to control the vehicle's sidewind stability until the vehicle exits the sidewind stability monitoring mode, effectively improving the stability and safety of the vehicle. Thus, the problem that the yaw angular velocity of the vehicle is used as the basis for judging the yaw of the vehicle in the related technology is solved, which has limitations and cannot be applied to the detection requirements of complex road conditions, and reduces the stability and safety of the vehicle.

[0075] Figure 4 A schematic diagram of the structure of a vehicle provided in an embodiment of the present application. The vehicle may include:

[0076] Memory 401 , processor 402 , and a computer program stored in the memory 401 and executable on the processor 402 .

[0077] When the processor 402 executes the program, the vehicle sidewind stability detection method provided in the above embodiment is implemented.

[0078] Furthermore, the vehicle also includes:

[0079] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0080] The memory 401 is used to store computer programs that can be executed on the processor 402 .

[0081] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0082] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0083] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0084] The processor 402 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0085] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned vehicle sidewind stability detection method is implemented.

[0086] This embodiment also provides a computer program product, including a computer program, which, when executed, is used to implement the above-mentioned vehicle sidewind stability detection method.

[0087] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0088] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0089] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0090] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0091] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0092] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0093] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0094] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for detecting vehicle sidewind stability, characterized in that: The following steps are involved: Detect whether the vehicle is in a preset bridge condition; When it is detected that the vehicle is in a preset bridge road condition, the vehicle is controlled to enter a crosswind stability monitoring mode, the actual vehicle speed, steering wheel angle, lateral acceleration and yaw rate of the vehicle are obtained, and the wind force level of the area where the vehicle is currently located is determined; A sidewind stability factor of the vehicle is generated according to at least one of the actual vehicle speed, the steering wheel angle, the lateral acceleration, the yaw angular velocity and the wind force level, and it is determined whether the actual distance between the vehicle and the leading vehicle is greater than a preset distance, wherein if the actual distance is greater than the preset distance, the sidewind stability factor is used to perform sidewind stability control on the vehicle until the vehicle exits the sidewind stability monitoring mode.

2. The method according to claim 1, characterized in that The detecting whether the vehicle is in a preset bridge road condition comprises: Obtaining road navigation information from the vehicle's onboard navigation system; Based on the road navigation information, it is detected whether the vehicle is in the preset bridge road condition.

3. The method according to claim 1, characterized in that The using the sidewind stability factor to perform sidewind stability control on the vehicle until the vehicle exits the sidewind stability monitoring mode includes: Determining whether the crosswind stability factor is greater than a preset threshold; If the sidewind stability factor is greater than the preset threshold, it is determined that the vehicle is disturbed by the sidewind, so as to perform the sidewind stability control of at least one of steering control, braking control, power output control and suspension control on the vehicle, and detect whether the vehicle leaves the preset bridge road condition; When it is detected that the vehicle leaves the preset bridge road condition, the crosswind stability monitoring mode is exited.

4. The method according to claim 1, characterized in that: Before using the sidewind stability factor to perform sidewind stability control on the vehicle, the method further includes: If the actual distance is less than or equal to the preset distance, the sidewind stability factor is set to 0 and the sidewind stability monitoring mode is exited.

5. The method according to claim 1, characterized in that After the sidewind stability factor is used to perform sidewind stability control on the vehicle, the method further includes: determining a crosswind stability level of the vehicle according to the wind force level and the crosswind stability factor; The side wind stability level is used to match a safety reminder method for the vehicle, wherein the safety reminder method includes a voice reminder method and a pop-up screen reminder method.

6. A vehicle side wind stability detection device, characterized in that: include: A detection module, used to detect whether the vehicle is in a preset bridge road condition; an acquisition module, for controlling the vehicle to enter a crosswind stability monitoring mode when detecting that the vehicle is in a preset bridge road condition, acquiring the actual vehicle speed, steering wheel angle, lateral acceleration and yaw angular velocity of the vehicle, and determining the wind force level of the area where the vehicle is currently located; A control module is used to generate a sidewind stability factor of the vehicle according to at least one of the actual vehicle speed, the steering wheel angle, the lateral acceleration, the yaw angular velocity and the wind force level, and determine whether the actual distance between the vehicle and the leading vehicle is greater than a preset distance, wherein if the actual distance is greater than the preset distance, the sidewind stability factor is used to perform sidewind stability control on the vehicle until the vehicle exits the sidewind stability monitoring mode.

7. The device according to claim 6, characterized in that The detection module comprises: An acquisition unit, used for acquiring road navigation information in the vehicle-mounted navigation of the vehicle; The detection unit is used to detect whether the vehicle is in the preset bridge road condition based on the road navigation information.

8. A vehicle, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle sidewind stability detection method as described in any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the vehicle sidewind stability detection method as described in any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that The computer program is executed by a processor to implement the vehicle sidewind stability detection method as described in any one of claims 1 to 5.

Images