Adaptive adjustment control method and system for vehicle window system, vehicle and storage medium

Abstract

The application provides a vehicle window system adaptive adjustment control method, comprising: monitoring vehicle external environment information, vehicle state information and driver / passenger facial feature information in real time; learning the habitual selection of the driver / passenger in a target scene to obtain a corresponding relationship between the vehicle external environment information and the window opening degree; adjusting the corresponding relationship based on the vehicle state information and the driver / passenger facial feature information to obtain a vehicle window system adaptive adjustment relationship; and determining a vehicle window system adjustment control gear position according to the vehicle window system adaptive adjustment relationship. The application has the beneficial effects that the vehicle adjusts the window opening degree according to the external environment and the characteristics of the people in the vehicle, thereby maximizing the comfort of the in-vehicle environment and reducing the safety hazards caused by distracted operation during driving.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle control, in particular to a vehicle window system adaptive adjustment control method and system, vehicle and storage medium. BACKGROUND

[0002] With the continuous development of global economy and society, the automobile has become an indispensable part of human life and plays an important role in people's daily life. People spend a lot of time in the relatively small space of the car every day, and also drive through various road sections or areas with different temperatures, weather and air quality in a short time. In order to avoid the influence of the external environment on the car space and keep the car environment fresh and clean, people often need to manually adjust the window for different external conditions to maintain the comfort of the driver and passenger. However, frequent distraction operations often affect safe driving, and the adjustment effect may not be satisfactory. SUMMARY

[0003] In view of the above defects of the prior art, the main purpose of the present application is to provide a vehicle window system adaptive adjustment control method and system, vehicle and storage medium, which adjusts the opening degree of the vehicle window according to the external environment and the characteristics of the passengers in the vehicle, so as to maximize the comfort of the vehicle environment and reduce the safety hazards caused by distraction operations during driving.

[0004] In order to achieve the above purpose, the present application adopts the following technical scheme:

[0005] On the one hand, the present application provides a vehicle window system adaptive adjustment control method, comprising:

[0006] The vehicle controller monitors the vehicle external environment information, vehicle state information and driver and passenger facial feature information in real time;

[0007] Learning the habitual selection of the driver and passenger in the target scene to obtain the corresponding relationship between the vehicle external environment information and the window opening degree;

[0008] Adjusting the corresponding relationship based on the vehicle state information and the driver and passenger facial feature information to obtain the vehicle window system adaptive adjustment relationship;

[0009] Determining the vehicle window system adjustment control parameters according to the vehicle window system adaptive adjustment relationship.

[0010] Further, learning and correcting the vehicle window system adaptive adjustment relationship according to the driving habits of the driver and passenger to reduce distraction operations during driving.

[0011] Optionally, the method further comprises: acquiring an environment condition of the driving section, and determining different detection periods for monitoring of the vehicle exterior environment information, the vehicle state information and the driver / passenger facial feature information based on the environment condition, to avoid unnecessary processor power consumption.

[0012] Further, the adaptive adjustment of the window system is enabled by the control switch.

[0013] Optionally, the driver / passenger is pushed with a prompt information of the adaptive adjustment requirement of the window system based on the frequency of the adjustment of the window by the driver / passenger.

[0014] Optionally, the driver / passenger is pushed with a prompt information of the adaptive adjustment requirement of the window system based on whether the vehicle is about to enter a section requiring frequent adjustment of the window.

[0015] Further, the adaptive adjustment of the window system is enabled by the control switch.

[0016] In another aspect, the present application provides a window system adaptive adjustment control system, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the window system adaptive adjustment control method when executing the computer program.

[0017] In still another aspect, the present application provides a vehicle comprising the window system adaptive adjustment control system.

[0018] In yet another aspect, the present application provides a computer readable storage medium, wherein the storage medium stores a computer program, and the computer program implements the steps of the window system adaptive adjustment control method when executed by a processor.

[0019] Compared with the prior art, the window system adaptive adjustment control method, system, vehicle and storage medium provided by the present application learn the habitual selection of the driver / passenger in the target scene, obtain the corresponding relationship between the vehicle exterior environment information and the window opening / closing degree, and adjust the corresponding relationship in real time according to the vehicle state information and the driver / passenger facial feature information, and then determine the window system adjustment control parameter, so that the window opening / closing degree control data is obtained based on the external environment information, and the analysis of the internal passengers is also integrated to further realize the real-time adjustment of the corresponding relationship between the vehicle exterior environment information and the window opening / closing degree, so that the vehicle adjusts the window opening degree according to the external environment and the characteristics of the passengers in the vehicle, to maximize the comfort of the environment in the vehicle, and reduce the safety hazards caused by distraction during driving. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1This is a schematic diagram of the adaptive adjustment control process of the vehicle window system provided by the present invention. Detailed Implementation

[0021] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below with reference to specific illustrations.

[0022] It should be noted that the executing entity in this embodiment is the window control device of the window system, but it can also be other devices that can achieve the same or similar functions, such as the vehicle control unit (VCU). This embodiment does not limit this, and the vehicle control unit is used as an example in this embodiment.

[0023] I. Adaptive Adjustment Control Method for Vehicle Window System

[0024] As one specific embodiment, please refer to Figure 1 As shown, the present invention provides an adaptive adjustment control method for a vehicle window system, comprising the following steps:

[0025] The vehicle control unit (VCU) monitors in real time the vehicle's sensors for external air quality, rainfall, wind speed, and external ambient temperature; as well as vehicle status information such as interior temperature, BCM window opening, vehicle speed, gear position, and vehicle navigation information; and collects the driver's and passengers' facial features through the in-vehicle camera.

[0026] When the VCU checks that the entire vehicle and windows are fault-free, and the Window Adaptive Adjustment System (WAAS) control switch is on, the window adaptive adjustment function is activated. Of course, more input logic can be considered for the enable control of the window adaptive adjustment.

[0027] After the adaptive adjustment control system for the car window is activated, the system learns the habitual choices of drivers and passengers in target scenarios to obtain the correspondence between the vehicle's external environment information and the degree of window opening and closing. In specific applications, by learning driver characteristics and the driver's habitual choices in certain scenarios, the system analyzes the correspondence between the driver's desired environment and the degree of window opening and closing, and adaptively adjusts the windows according to the correspondence to determine the adjustment control level of the car window system, thereby obtaining the relationship between the driver and the window opening and closing.

[0028] Specifically, the control gear setting mode is as follows: the opening degree of the side windows and sunroof can be set to 4 levels according to different opening degrees, namely gear 1 - fully closed 100%, gear 2 - leave gap 90%, gear 3 - half open 50%, gear 4 - fully open 0%.

[0029] The VCU monitors various types of information in real time and in parallel, specifically including:

[0030] 1. If the VCU detects in real time that the outside air quality collected by the air quality sensor is higher than the preset threshold, it determines that the outside air quality is poor and the BCM window setting is not in setting 1 (i.e., not closed). Then the window adaptive adjustment system is set to setting 1 to ensure the air quality inside the vehicle.

[0031] 2. If the VCU detects in real time that the amount of rainfall collected by the rain sensor exceeds the preset threshold, it determines that it is raining outside the car or there is a risk of other water entering the car. If the BCM window is not in position 1 (i.e. not closed), the window adaptive adjustment system is set to position 1 to prevent a large amount of water from entering the car and wetting the interior components and items.

[0032] 3. If the VCU detects that the vehicle's lateral wind speed collected by the wind speed monitoring device is greater than the preset threshold, and the vehicle speed is greater than the threshold (60km / h) for 10 seconds, and the BCM window setting is in setting 3 or 4 (i.e., half open or fully open), then the window adaptive adjustment system setting will be changed to setting 2 to reduce vehicle stability issues caused by excessive lateral wind due to excessive window opening when the vehicle is traveling at high speed.

[0033] 4. The VCU simultaneously monitors the ambient temperature outside the vehicle and the temperature inside the vehicle collected by the temperature sensor in real time.

[0034] (1) If the interior temperature is within the comfortable temperature range (17℃-25℃), the adaptive window adjustment system will not adjust.

[0035] (2) If the interior temperature is not within the set comfortable temperature range, and the temperature difference is greater than the threshold:

[0036] ① If the vehicle is in a non-driving gear (i.e., P or N), the vehicle is determined to be stationary. At this time, the BCM window setting is not in setting 4 (i.e., not fully open). The window adaptive adjustment system automatically adjusts the window setting to setting 4 to ensure rapid heat dissipation when the vehicle is stationary.

[0037] ② If the vehicle is in drive gear (i.e., D or R), the vehicle speed is below the threshold (60km / h), and the BCM window is in gear 1 or gear 2 (i.e. fully closed or with a gap), the window adaptive adjustment system will automatically adjust the window to gear 3 to ensure rapid heat dissipation when the vehicle is in motion.

[0038] ③ If the vehicle speed is greater than the threshold (60km / h) and continues for 10 seconds, and the BCM window setting is at setting 1, the window adaptive adjustment system will automatically adjust the window setting to setting 2 to ensure the vehicle's high-speed driving stability while ensuring rapid heat dissipation.

[0039] 5. The VCU monitors the vehicle's road navigation information in real time. When the vehicle is about to enter or pass through congested road sections or tunnels / underground parking garages / industrial areas, which are considered to have poor air quality, and the BCM window position is not in position 1 (i.e., not closed), the window adaptive adjustment system adjusts the window position to position 1 to prevent exhaust fumes from entering the vehicle when entering congested road sections or tunnels / underground parking garages / industrial areas. When the vehicle leaves the road section, the window automatically returns to the position before adjustment.

[0040] 6. If the VCU detects that the external noise level collected by the sensor is higher than the preset threshold (this threshold adjusts with speed, i.e., the higher the speed, the higher the threshold), it determines that the external noise is high and the BCM window setting is not in setting 1 (i.e., not closed). Then the window adaptive adjustment system is set to setting 1 to ensure a relatively quiet interior.

[0041] 7. The VCU detects the facial features of passengers identified by the in-vehicle camera in real time. When the facial features of passengers match the preset facial model of frail individuals such as the elderly, children, or patients, and the BCM window setting is not in setting 1 (i.e., not closed), the adaptive window adjustment system sets the setting to 1 and actively closes the windows to prevent frail passengers such as the elderly, children, and patients from being exposed to cold winds during the journey.

[0042] In summary, it should be understood that this invention adjusts the corresponding relationship in real time based on vehicle status information and facial feature information of drivers and passengers to obtain an adaptive adjustment relationship for the window system, thereby achieving adaptive window control. The specific details are summarized below:

[0043] The window system is adaptively adjusted based on crosswind speed, while also taking into full account the impact of vehicle speed on vehicle stability, ensuring both in-car comfort and high-speed vehicle stability.

[0044] Based on the temperature difference between the inside and outside of the vehicle and the vehicle's driving status such as gear position and speed, the window system is adaptively adjusted to ensure both the comfort inside the vehicle and the adjustment effect under different driving conditions.

[0045] The window system is adaptively adjusted based on navigation traffic information to ensure good air quality inside the vehicle when entering congested areas or roads with poor air quality, such as tunnels, underground parking garages, or industrial areas.

[0046] The window system adaptively adjusts based on external noise to ensure a quiet interior when the vehicle enters noisy road conditions.

[0047] The window system is adaptively adjusted based on the facial features of the passengers inside the vehicle to ensure a suitable environment inside the vehicle when there are elderly, children, patients or other frail passengers. At the same time, the system learns the driver's habits.

[0048] Based on road conditions and environmental information, provide advance warnings for frequent adjustment behaviors;

[0049] The VCU identifies gear requests under different operating conditions, and after arbitration, determines the lowest gear calculated by the adaptive window adjustment system as the final requested gear (i.e., window closing priority), requesting the BCM to implement adjustment control.

[0050] It should be noted that when the above conditions exist simultaneously, the lowest gear calculated by the adaptive window adjustment system after arbitration by the VCU is the final requested gear (i.e., window closing is prioritized). The VCU converts the arbitrated gear into the corresponding control opening and sends the control request to the BCM body controller for execution, thereby realizing the adaptive adjustment control of the window based on the road environment and usage conditions.

[0051] Building upon basic control implementation, a learning and error correction function is added. For example, by analyzing a scenario where the driver opens the window halfway, but the driver repeatedly closes the window or adjusts it to 3 / 4 full in that scenario, the system can adjust the correspondence between the scenario and the window based on the driver's habits. For instance, gears 2 and 3 can be fine-tuned according to the driver's daily habits. The VCU will monitor the automatic gear adjustment in real time and detect the user's adjustments to the window gear, redetermining the opening degree corresponding to each gear based on the adjustments. For example, if the system automatically adjusts to gear 3 (half-open) in a certain scenario, and the user makes N fine-tuning adjustments to this half-open position, with most adjustments to 45%, then the gear can be adjusted accordingly to 45% in subsequent scenarios.

[0052] Specifically, the VCU records the driver's actions when adjusting the windows, and simultaneously records the external environmental conditions at that time. If the same adjustment action is triggered more than three times in the same scenario, the scenario and the action executed are recorded. Subsequently, when the VCU uses the driver's facial features recognized by the in-vehicle camera to execute the recorded driver's adjustment action when the same driver passes through the same scenario, it achieves a self-learning and error correction function for window adjustment.

[0053] In addition, in order to further optimize the algorithm and reduce computing power consumption, the present invention proposes the following technical idea: to obtain the environmental conditions of the driving section, and to determine different detection cycles for monitoring vehicle external environment information, vehicle status information and driver and passenger facial feature information based on the environmental conditions.

[0054] Specifically, this invention collects data from multiple sensors to obtain various indicators. Real-time detection and analysis of each indicator consumes significant computing power and is unnecessary. How can we ensure the timely response of the car window while conserving computing power? The specific solution used in this invention is: combining big data and navigation to analyze the typical environmental conditions of a road segment, and determining the detection cycle based on these conditions. For example, on highways where environmental changes are relatively small, the detection cycle can be 1 minute; on industrial road sections where environmental changes are larger, the detection cycle is 30 seconds. Furthermore, considering factors such as air quality, rainfall, temperature, and wind speed, which have small fluctuations but significant impacts on the in-vehicle environment, real-time detection and adjustment are necessary.

[0055] Therefore, those skilled in the art should understand that although the steps in the above flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows, unless explicitly stated herein, i.e., there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some steps in the above flowchart may include multiple sub-steps or multiple stages. These sub-steps or stages do not necessarily need to be completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages does not necessarily have to be sequential, but can be executed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0056] II. Adaptive Adjustment Control System for Vehicle Windows

[0057] As another specific embodiment, the present invention provides an adaptive adjustment control system for a vehicle window system, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-mentioned parking control method for the ACC system of a new energy vehicle.

[0058] As another specific embodiment, the present invention provides a vehicle including the aforementioned adaptive adjustment control system for the vehicle window system. The specific control process of the vehicle control system for the windows is described below.

[0059] (a) Information collection

[0060] The vehicle control unit (VCU) monitors the output information of various sensors inside and outside the vehicle in real time, specifically including:

[0061] Vehicle status information, including outside air quality, rainfall, wind speed, outside ambient temperature, inside temperature, BCM window opening, vehicle speed, gear position, vehicle navigation information, and the faces and facial features of the driver and passengers.

[0062] (ii) The adaptive adjustment of the window system is controlled by a control switch.

[0063] Normally, vehicle windows are controlled by the driver and passengers themselves, but adaptive control activates under specific triggering conditions:

[0064] In other words, the adaptive adjustment of the window system is controlled by the control switch. Specifically, when the VCU checks that there are no faults in the whole vehicle and the windows, and the control switch of the Window Adaptive Adjustment System (WAAS) is turned on, the adaptive adjustment function of the window is activated.

[0065] Of course, the enable control for adaptive window adjustment could also consider more input logic (setting more trigger conditions).

[0066] Once the adaptive adjustment control system for the car windows is activated, it performs various control adjustments:

[0067] (III) Implementation of basic control functions

[0068] The system learns from the habitual choices of drivers and passengers in target scenarios to obtain the correspondence between vehicle external environment information and window opening degree. Specifically, by learning driver characteristics and the driver's habitual choices in certain scenarios, it analyzes the correspondence between the driver's desired environment and the window opening degree, and adaptively adjusts the windows according to the correspondence to determine the window system adjustment control level. Specifically, the control level setting mode is as follows: the opening degree of the side windows and sunroof can be set to four levels according to different opening degrees, namely level 1 - fully closed (100%), level 2 - with a gap (90%), level 3 - half open (50%), and level 4 - fully open (0%).

[0069] The VCU monitors various types of information in real time and in parallel, and performs basic control based on the monitoring information.

[0070] 1. If the VCU detects in real time that the outside air quality collected by the air quality sensor is higher than the preset threshold, it determines that the outside air quality is poor and the BCM window setting is not in setting 1 (i.e., not closed). Then the window adaptive adjustment system is set to setting 1 to ensure the air quality inside the vehicle.

[0071] 2. If the VCU detects in real time that the amount of rainfall collected by the rain sensor exceeds the preset threshold, it determines that it is raining outside the car or there is a risk of other water entering the car. If the BCM window is not in position 1 (i.e. not closed), the window adaptive adjustment system is set to position 1 to prevent a large amount of water from entering the car and wetting the interior components and items.

[0072] 3. If the VCU detects that the vehicle's lateral wind speed collected by the wind speed monitoring device is greater than the preset threshold, and the vehicle speed is greater than the threshold (60km / h) for 10 seconds, and the BCM window setting is in setting 3 or 4 (i.e., half open or fully open), then the window adaptive adjustment system setting will be changed to setting 2 to reduce vehicle stability issues caused by excessive lateral wind due to excessive window opening when the vehicle is traveling at high speed.

[0073] 4. The VCU simultaneously monitors the ambient temperature outside the vehicle and the temperature inside the vehicle collected by the temperature sensor in real time.

[0074] (1) If the interior temperature is within the comfortable temperature range (17℃-25℃), the adaptive window adjustment system will not adjust.

[0075] (2) If the interior temperature is not within the set comfortable temperature range, and the temperature difference is greater than the threshold:

[0076] ① If the vehicle is in a non-driving gear (i.e., P or N), the vehicle is determined to be stationary. At this time, the BCM window setting is not in setting 4 (i.e., not fully open). The window adaptive adjustment system automatically adjusts the window setting to setting 4 to ensure rapid heat dissipation when the vehicle is stationary.

[0077] ② If the vehicle is in drive gear (i.e., D or R), the vehicle speed is below the threshold (60km / h), and the BCM window is in gear 1 or gear 2 (i.e. fully closed or with a gap), the window adaptive adjustment system will automatically adjust the window to gear 3 to ensure rapid heat dissipation when the vehicle is in motion.

[0078] ③ If the vehicle speed is greater than the threshold (60km / h) and continues for 10 seconds, and the BCM window setting is at setting 1, the window adaptive adjustment system will automatically adjust the window setting to setting 2 to ensure the vehicle's high-speed driving stability while ensuring rapid heat dissipation.

[0079] 5. The VCU monitors the vehicle's road navigation information in real time. When the vehicle is about to enter or pass through congested road sections or tunnels / underground parking garages / industrial areas, which are considered to have poor air quality, and the BCM window position is not in position 1 (i.e., not closed), the window adaptive adjustment system adjusts the window position to position 1 to prevent exhaust fumes from entering the vehicle when entering congested road sections or tunnels / underground parking garages / industrial areas. When the vehicle leaves the road section, the window automatically returns to the position before adjustment.

[0080] 6. If the VCU detects that the external noise level collected by the sensor is higher than the preset threshold (this threshold adjusts with speed, i.e., the higher the speed, the higher the threshold), it determines that the external noise is high and the BCM window setting is not in setting 1 (i.e., not closed). Then the window adaptive adjustment system is set to setting 1 to ensure a relatively quiet interior.

[0081] 7. The VCU detects the facial features of passengers identified by the in-vehicle camera in real time. When the facial features of passengers match the preset facial model of frail individuals such as the elderly, children, or patients, and the BCM window setting is not in setting 1 (i.e., not closed), the adaptive window adjustment system sets the setting to 1 and actively closes the windows to prevent frail passengers such as the elderly, children, and patients from being exposed to cold winds during the journey.

[0082] Furthermore, when the above conditions exist simultaneously, the lowest gear calculated by the adaptive window adjustment system after arbitration by the VCU is the final requested gear (i.e., window closing priority). The VCU converts the arbitrated gear into the corresponding control opening and sends the control request to the BCM body controller for execution, thereby realizing adaptive adjustment control of the window based on the road environment and usage conditions.

[0083] (iv) Implementation of the learning error correction function

[0084] Building upon the basic control implementation, a learning and error correction function is added. Specifically, by analyzing a scenario where the driver opens the window halfway, but the driver repeatedly closes the window or adjusts it to 3 / 4 full in that scenario, the system can adjust the correspondence between the scenario and the window based on the driver's habits. For example, gears 2 and 3 can be fine-tuned according to the driver's daily habits. The VCU will monitor the automatic gear adjustment in real time and detect the user's adjustments to the window position, and redetermine the opening degree corresponding to each gear based on the adjustments. For instance, if the system automatically adjusts to gear 3 (half-open) in a certain scenario, and the user makes N fine-tuning adjustments to this half-open position, with most adjustments to 45%, then the gear can be adjusted accordingly to 45% in subsequent scenarios.

[0085] Furthermore, the VCU records the driver's actions when adjusting the windows, and simultaneously records the external environmental conditions at that time. If the same adjustment action is triggered more than three times in the same scenario, the scenario and the action executed are recorded. Subsequently, when the VCU uses the driver's facial features recognized by the in-vehicle camera to execute the recorded driver's adjustment action when the same driver passes through the same scenario, it achieves a self-learning and error correction function for window adjustment.

[0086] (v) Dynamic adjustment of the monitoring cycle

[0087] To further optimize the algorithm and reduce computing power consumption, this invention proposes the following technical idea: dynamically adjust the collection cycle of various types of monitored information.

[0088] Specifically, the environmental conditions of the driving route are obtained, and different detection cycles are determined based on these conditions for monitoring vehicle external environment information, vehicle status information, and facial feature information of drivers and passengers.

[0089] This invention collects data from multiple sensors to obtain various indicators. However, real-time detection and analysis of each indicator consumes a lot of computing power and is unnecessary. How to ensure the timeliness of the car window's response while saving computing power is a technological improvement direction with great value.

[0090] The specific solution used in this invention is as follows: By combining big data and navigation, the typical environmental conditions of a certain road segment are analyzed, and the detection cycle is determined based on the typical environmental conditions. For example, the environmental changes on highways are relatively small, so the detection cycle can be 1 minute, while the environmental changes on industrial road segments are relatively large, so the detection cycle is 30 seconds. On the other hand, considering factors such as air quality, rainfall, temperature, and wind speed, which have small sudden changes but have a large impact on the in-vehicle environment, real-time detection and adjustment are required.

[0091] Furthermore, in order to further improve the system's intelligence level and enhance the user experience, this invention pushes adaptive adjustment demand information for the window system to drivers and passengers based on the monitored frequency of window self-adjustment; and pushes adaptive adjustment demand information for the window system to drivers and passengers based on whether the vehicle is about to enter a road section that requires frequent window adjustments.

[0092] Specifically, the control processes described according to embodiments of this application can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for performing the methods shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network via a communication component, and / or installed from a removable medium. When the computer program is executed by a central processing unit, it performs various functions defined in the system of this application.

[0093] Therefore, those skilled in the art will understand that the flowcharts in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in the flowchart may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, or they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, and combinations of blocks in the block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions. The units described in the embodiments of this application may be implemented in software or hardware, and the described units may also be located in a processor. The names of these units do not, in some cases, constitute a limitation on the unit itself.

[0094] As another specific embodiment, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described adaptive adjustment control method for a vehicle window system.

[0095] Those skilled in the art will understand that any reference to memory, storage medium, or database in the above embodiments of this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be obtained in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), synchronous link DRAM (SLDRAM), memory bus direct RAM (RDRAM), enhanced SDRAM (ESDRAM), and direct memory bus dynamic RAM (DRDRAM), etc. The computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transfer a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program contained on a computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless, wired, etc., or any suitable combination thereof.

[0096] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. An adaptive adjustment control method for a vehicle window system, characterized in that, include: The environmental conditions of the driving route are acquired, and different monitoring cycles are determined based on the environmental conditions for monitoring vehicle external environment information, vehicle status information, and driver and passenger facial feature information: the degree of environmental change difference of the driving route is negatively correlated with the monitoring cycle. The system monitors vehicle external environment information, vehicle status information, and driver and passenger facial feature information respectively based on the corresponding monitoring cycle. The system learns the habitual choices of drivers and passengers in target scenarios to obtain the correspondence between vehicle external environment information and window opening degree, and learns and corrects the adaptive adjustment relationship of the window system according to the driving habits of drivers and passengers. The window system adaptive adjustment relationship is obtained by adjusting the corresponding relationship in real time based on vehicle status information and facial feature information of drivers and passengers. The window system adjustment control level is determined based on the adaptive adjustment relationship of the window system.

2. The adaptive adjustment control method for a vehicle window system according to claim 1, characterized in that, Vehicle external environment information includes: outside air quality, rainfall, wind speed, and outside ambient temperature.

3. The adaptive adjustment control method for a vehicle window system according to claim 1 or 2, characterized in that: Vehicle status information includes: temperature, window opening, vehicle speed, gear position, and vehicle navigation information; Facial feature information includes: facial features of age and facial features of people with weak constitutions; The adaptive adjustment relationship of the window system is obtained by adjusting the corresponding relationship in real time based on vehicle status information and facial feature information of drivers and passengers. This includes: adaptive adjustment of the window system based on crosswind speed; adaptive adjustment of the window system based on the temperature difference between the inside and outside of the vehicle and the vehicle's gear, speed and driving status; adaptive adjustment of the window system based on navigation traffic information; adaptive adjustment of the window system based on external noise; and adaptive adjustment of the window system based on facial feature recognition of in-vehicle occupants.

4. The adaptive adjustment control method for a vehicle window system according to claim 1, characterized in that, The adaptive adjustment of the window system is controlled by a control switch.

5. The adaptive adjustment control method for a vehicle window system according to claim 4, characterized in that, Based on the monitored frequency of driver and passenger window self-adjustment, the system pushes information prompting the driver and passengers regarding their need for adaptive window adjustment.

6. The adaptive adjustment control method for a vehicle window system according to claim 4, characterized in that, Based on whether the vehicle is about to enter a road section that requires frequent window adjustments, the system sends a notification to the driver and passengers indicating the need for adaptive window adjustment.

7. The adaptive adjustment control method for a vehicle window system according to claim 1, characterized in that, The method further includes: identifying gear requests under different operating conditions, and obtaining the final gear requested by the adaptive window adjustment system through arbitration, wherein the arbitration calculates the lowest gear as the final requested gear based on the rule of prioritizing window closure.

8. An adaptive adjustment control system for a vehicle window system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the adaptive adjustment control method for the vehicle window system as described in any one of claims 1 to 7.

9. A vehicle, characterized in that, Including the adaptive adjustment control system for the vehicle window system as described in claim 8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the adaptive adjustment control method for the window system as described in any one of claims 1 to 7.

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