Vehicle control method and device based on environment and user habits, equipment and medium

Abstract

The application discloses a vehicle control method and device based on environment and user habits, equipment and medium, the vehicle control method is through according to weather type determines corresponding environmental perception information and the operation habit information of the user of target vehicle, to determine target control strategy according to weather type and its corresponding environmental perception information and operation habit information the information fusion of three aspects, when the intelligent control is carried out to target vehicle, more comprehensive consideration weather, target vehicle's environmental information and its user's operation habit these factors of the place of target vehicle, make the intelligent control result of target vehicle and the matching of actual demand of user is higher, without user in the process of driving needs distraction to operate related function key, can improve the driving comfort and safety of target vehicle.

Description

Technical Field

[0001] This invention relates to the field of intelligent driving technology, specifically to a method, apparatus, device, and medium based on environment and user habits. Background Technology

[0002] When a vehicle is in motion, the driver needs to control it based on their perceived environmental information. For example, this includes closing windows when it rains, controlling the air conditioning when it's too hot, controlling the windshield wipers, turning on headlights in low light, and activating heated side mirrors and a defogging windshield when the temperature is low. The driver's perception of the environment changes constantly, requiring them to adjust their vehicle's operation accordingly to improve driving comfort and safety. However, if the driver frequently needs to manually operate various functions while driving, it can easily become distracted, potentially leading to accidents due to a failure to notice dangerous situations in time.

[0003] With the development of intelligent technology, intelligent vehicle control technology has emerged. This technology involves installing environmental sensors in vehicles to perceive environmental information in real time while the vehicle is in motion. Based on the sensor-perceived environmental information, intelligent algorithms automatically generate vehicle control strategies to automatically control the vehicle's components and / or onboard equipment according to changes in environmental information. This effectively solves the problem of driver distraction caused by manually operating vehicle function keys during driving, thereby improving driving safety. For example, Chinese patent application CN120134887A discloses an in-vehicle environment control method, which includes: collecting multimodal environmental data inside and outside the vehicle; predicting the occupant comfort temperature based on the multimodal environmental data; the occupant comfort temperature being used to characterize the occupants' comfort needs for the in-vehicle temperature; obtaining the current in-vehicle temperature; and, based on a comparison between the current in-vehicle temperature and the occupant comfort temperature, controlling the vehicle's in-vehicle environment adjustment mechanism to perform corresponding in-vehicle environment adjustment actions to match the in-vehicle temperature with the occupant comfort temperature. For example, Chinese patent application CN110219543A discloses a method for intelligent control of vehicle windows, which includes: acquiring environmental parameters characterizing the road conditions and / or landscape outside the vehicle; acquiring the corresponding window opening value based on the environmental parameters; automatically controlling the real-time opening of the window based on the window opening value, or displaying prompt information based on the window opening value and then controlling the real-time opening of the window based on the received selection command.

[0004] While existing intelligent vehicle control methods, such as those described in the aforementioned patents, can automatically control relevant components of the vehicle based on environmental information during operation, eliminating the need for manual driver intervention and thus improving driving comfort and safety, current intelligent vehicle control methods typically rely primarily on environmental information perceived by the vehicle's sensors. This limited reference factors in the vehicle control strategy makes it difficult to match the intelligent control results with the driver's actual needs, potentially requiring manual operation of relevant function keys. Therefore, existing intelligent vehicle control methods still require improvement in terms of driving comfort and safety. Summary of the Invention

[0005] In view of this, embodiments of the present invention provide a vehicle control method, apparatus, device, and computer-readable storage medium based on environment and user habits to improve the comfort and safety of vehicle driving.

[0006] In a first aspect, embodiments of the present invention provide a vehicle control method based on environment and user habits, comprising:

[0007] The weather type at the location of the target vehicle and the environmental perception information from the sensors in the target vehicle are obtained; wherein, the weather type includes high temperature weather, heavy rain weather or snowy weather;

[0008] The weather type is input into the user habit prediction model to obtain the user's operating habits information of the target vehicle under the environmental scenario corresponding to the weather type.

[0009] Based on the weather type, the environmental perception information corresponding to the weather type, and the operation habit information, a target control strategy for operating the target vehicle is determined, so as to operate the target vehicle based on the target control strategy.

[0010] In some embodiments, obtaining the weather type at the location of the target vehicle includes:

[0011] The positioning module obtains the location information of the target vehicle, and the network communication module obtains multi-region weather forecast information including the location.

[0012] Based on the location information, the weather forecast information for the location is extracted from the multi-regional weather forecast information to determine the weather type.

[0013] In some embodiments, determining the target control strategy for operating the target vehicle based on the weather type, the environmental perception information corresponding to the weather type, and the operating habit information includes:

[0014] Based on the weather type, determine one or more environmental sensing information that correspond to the weather type from a plurality of environmental sensing information;

[0015] Based on the environmental perception information corresponding to the weather type, select one of the preset control strategies corresponding to the weather type;

[0016] The selected preset control strategy is modified based on the operation habit information to obtain the target control strategy.

[0017] In some embodiments, when the weather type is high-temperature weather (the forecast temperature for the location is higher than or equal to a first preset temperature), the sensor corresponding to the high-temperature weather includes a temperature sensor for sensing the temperature inside the target vehicle. The step of selecting a corresponding preset control strategy from the weather type based on the environmental perception information corresponding to the weather type includes:

[0018] Based on the temperature information sensed by the temperature sensor, it is determined whether the interior temperature of the target vehicle is higher than or equal to a second preset temperature; wherein the second preset temperature is greater than the first preset temperature.

[0019] If so, select the first preset control strategy from the preset control strategies corresponding to the weather type: first control the windows to open, then close the windows and turn on the cooling system.

[0020] If not, select the second preset control strategy from the preset control strategies corresponding to the weather type to directly turn on the cooling.

[0021] In some embodiments, when the weather type is heavy rain, the sensor corresponding to the heavy rain includes a visibility sensor for sensing the visibility of the target vehicle's driving environment. The step of selecting a corresponding preset control strategy from the weather type based on the environmental perception information corresponding to the weather type includes:

[0022] Based on the visibility information sensed by the visibility sensor, determine whether the visibility of the driving environment is less than a preset visibility.

[0023] If so, select from the preset control strategies corresponding to the weather type a third preset control strategy that turns on the fog lights and adaptively adjusts the wipers based on the amount of rain.

[0024] If not, select the fourth preset control strategy from the preset control strategies corresponding to the weather type, which is to turn off the fog lights and adaptively adjust the wiper speed based on the rainfall.

[0025] In some embodiments, modifying the selected preset control strategy based on the operating habit information to obtain the target control strategy includes:

[0026] Based on the aforementioned operating habit information, and according to the corresponding preset correction range, the relevant control parameters in the selected preset control strategy are modified to obtain the target control strategy; or...

[0027] The control strategy corresponding to the operation habit information is weighted and processed with the selected preset control strategy to obtain the target control strategy.

[0028] In some embodiments, determining the target control strategy for operating the target vehicle based on the weather type, the environmental perception information corresponding to the weather type, and the operating habit information includes:

[0029] Based on the weather type, the environmental perception information corresponding to the weather type, and the operation habit information, the first control strategy, the second control strategy, and the third control strategy corresponding to the target vehicle in the environmental scenario corresponding to the weather type are determined respectively.

[0030] The first control strategy, the second control strategy, and the third control strategy are weighted according to preset weighting values ​​to obtain the target control strategy.

[0031] Secondly, embodiments of the present invention provide a vehicle control device based on environment and user habits, comprising:

[0032] An environment acquisition module is used to acquire the weather type of the target vehicle's location and the environmental perception information from the sensors in the target vehicle; wherein, the weather type includes high temperature weather, heavy rain weather, or snowy weather;

[0033] The user habit acquisition module is used to input the weather type into the user habit prediction model to obtain the user's operation habit information of the target vehicle in the environmental scenario corresponding to the weather type.

[0034] The strategy determination module is used to determine a target control strategy for operating the target vehicle based on the weather type, the environmental perception information corresponding to the weather type, and the operation habit information, so as to operate the target vehicle based on the target control strategy.

[0035] Thirdly, embodiments of the present invention provide a vehicle control device based on environment and user habits, including a processor and a memory, wherein the memory is used to store programs, instructions or code, and the processor is used to execute the programs, instructions or code in the memory to complete the vehicle control method as described in any of the foregoing.

[0036] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program, which is loaded by a processor to execute the vehicle control method as described in any of the foregoing claims.

[0037] In several embodiments provided by this invention, the vehicle control method determines the corresponding environmental perception information and the user's operating habits information of the target vehicle based on the weather type. It then determines the target control strategy by fusing information from these three aspects: weather type, corresponding environmental perception information, and operating habits information. When intelligently controlling the target vehicle, it comprehensively considers factors such as the weather at the target vehicle's location, the target vehicle's environmental information, and the user's operating habits. This results in a high degree of matching between the intelligent control results of the target vehicle and the user's actual needs. The user does not need to be distracted by operating relevant function keys during driving, which can improve the driving comfort and safety of the target vehicle. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0039] Figure 1 This is a schematic diagram of the method flow corresponding to the vehicle control method based on environment and user habits provided in some embodiments of this application.

[0040] Figure 2 This is a schematic diagram of the method flow for obtaining weather type in a vehicle control method provided according to some embodiments of the present invention.

[0041] Figure 3 This is a flowchart illustrating the method for determining a target control strategy in a vehicle control method provided according to some embodiments of the present invention.

[0042] Figure 4 This is a flowchart illustrating the process of selecting a preset control strategy in a vehicle control method provided according to some embodiments of the present invention.

[0043] Figure 5This is a flowchart illustrating the process of selecting a preset control strategy in a vehicle control method provided according to some embodiments of the present invention.

[0044] Figure 6 This is a flowchart illustrating the method for determining a target control strategy in a vehicle control method provided according to other embodiments of the present invention.

[0045] Figure 7 This is a schematic diagram of the structure of a vehicle control device based on environment and user habits provided according to some embodiments of the present invention.

[0046] Figure 8 This is a schematic diagram of the structure of a vehicle control device based on environment and user habits provided according to some embodiments of the present invention.

[0047] In the picture:

[0048] 700. Vehicle control device; 702. Environment acquisition module; 704. User habit acquisition module; 706. Strategy determination module;

[0049] 800. Vehicle control equipment; 801. Processor; 802. Memory. Detailed Implementation

[0050] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0051] Existing vehicle intelligent control methods lack comprehensive consideration of the driver's personal habits, resulting in imprecise and unpersonalized control strategies that fail to meet the driver's control needs and hinder the improvement of driving comfort and safety. Therefore, this invention provides a vehicle control method, device, equipment, and computer-readable storage medium based on environment and user habits. The vehicle control method provided by this invention will be described in detail below with reference to various embodiments.

[0052] Please see Figure 1 The diagram shown is a flowchart illustrating a vehicle control method based on environment and user habits provided according to some embodiments of this application. In some embodiments, the vehicle control method provided by this invention includes steps S02, S04, and S06, each described below.

[0053] S02: Obtain the weather type of the target vehicle's location and the environmental perception information from the sensors in the target vehicle; the weather type includes high temperature weather, heavy rain weather, or snowy weather.

[0054] The target vehicle refers to a vehicle operated and controlled based on the vehicle control method provided in this embodiment of the invention. The vehicle control method provided in this embodiment of the invention can be applied to control equipment in the target vehicle, and can also be referred to as vehicle control equipment. The control equipment can obtain weather forecast information from a meteorological server or other modules based on a communication module, and analyze the obtained weather forecast information to obtain the weather type of the target vehicle's location. The location of the target vehicle includes the city, district, county, or town where the target vehicle is located.

[0055] Weather type refers to the specific manifestation of atmospheric conditions over a short period of time. In this embodiment of the invention, weather types include high temperature weather, heavy rain weather, or snowy weather. Different control strategies are employed to control the target vehicle based on different weather types, ensuring that the control of the target vehicle matches the current weather type. This facilitates controlling the target vehicle according to a control strategy that meets user needs. The user refers to the user of the target vehicle, which may be, but is not limited to, the driver of the target vehicle, and may also be the owner of the target vehicle.

[0056] The target vehicle is equipped with multiple sensors that perceive different types of environmental parameters to obtain corresponding environmental information. The control equipment uses this information to control the target vehicle, making the control strategy more compatible with its driving environment, thereby improving user comfort. These different environmental parameters include temperature, visibility, light intensity, and rainfall. The sensors here refer to those related to the target vehicle's control, i.e., those that perceive the vehicle's environment on behalf of the user. The target vehicle's environment includes both the interior and exterior environments.

[0057] S04: Input the weather type into the user habit prediction model to obtain the user's operating habits information for the target vehicle under the environmental scenario corresponding to the weather type.

[0058] The user habit prediction model is a machine learning model or deep learning model trained on training samples. A machine learning model or deep learning model refers to a mathematical function or structure that learns patterns from data through algorithms and uses them for prediction or decision-making. In this embodiment of the invention, training samples are input into the machine learning model, enabling the model to learn the mapping relationship between weather type and the user's operating habits of the target vehicle, thereby obtaining the user habit prediction model. When different weather types are input into the user habit prediction model, the model outputs corresponding information representing the user's operating habits of the target vehicle. These user operations include, but are not limited to, adjusting or setting at least one of the following: windows, windshield wipers, various lights, and air conditioning. User operating habits are also user preferences, i.e., the user's habitual operating methods for the target vehicle in driving scenarios corresponding to various weather types.

[0059] S06: Determine the target control strategy for operating the target vehicle based on the weather type, environmental perception information corresponding to the weather type, and operating habit information; and perform operation control on the target vehicle based on the target control strategy.

[0060] The environmental perception information acquired in S02 can be information perceived by all sensors in the target vehicle used for environmental perception, or it can be only environmental perception information corresponding to the weather type. If it is the latter, S02 can include first obtaining the weather type, and then obtaining the corresponding environmental perception information based on the weather type. Obtaining the corresponding environmental perception information based on the weather type can be achieved by controlling the corresponding sensors to perform environmental perception based on the weather type, thereby obtaining the environmental perception information perceived by the corresponding sensors; or it can be achieved by determining the environmental perception information corresponding to the weather type based on a preset correspondence between the weather type and the environmental perception information.

[0061] Environmental perception information corresponding to weather type refers to the environmental perception information that needs to be considered for the operation and control of the target vehicle under the current weather conditions. For example, in hot weather, it is necessary to pay attention to the interior temperature of the target vehicle. The sensors corresponding to the current weather type include a temperature sensor for sensing the interior temperature of the target vehicle, and the environmental perception information corresponding to the current weather type includes the interior temperature information sensed by the temperature sensor. Similarly, in heavy rain, it is necessary to pay attention to the visibility ahead of the user's line of sight. The sensors corresponding to the current weather type include a visibility sensor for sensing the visibility ahead of the driver, and the environmental perception information corresponding to the current weather type includes the visibility perception information ahead of the driver. It should be noted that the environmental perception information corresponding to each weather type can be pre-set based on requirements, and the sensors corresponding to each weather type are not limited to one type; they can be set to multiple types based on driving needs. For example, in heavy rain, the environmental sensors corresponding to the current weather type also include sensors for detecting the amount of rainfall.

[0062] In this embodiment of the invention, the target control strategy is determined by fusing information from three aspects: weather type, environmental perception information corresponding to the weather type, and user operating habits. That is, when intelligently controlling the target vehicle, factors such as the weather where the target vehicle is located, the environmental information of the target vehicle, and the user's operating habits are considered. This makes the intelligent control result of the target vehicle highly compatible with the user's actual needs, and the user does not need to be distracted by operating relevant function keys during driving, thereby improving the driving comfort and safety of the target vehicle.

[0063] Please see Figure 2 The diagram shown is a flowchart illustrating a method for obtaining weather type in a vehicle control method according to some embodiments of the present invention. In some embodiments, S02 includes S022 and S024, and the steps are described below.

[0064] S022: Obtain the location information of the target vehicle through the positioning module, and obtain multi-region weather forecast information including the location through the network communication module.

[0065] S024: Based on the location information, extract the local weather forecast information from multi-regional weather forecast information to determine the weather type.

[0066] The positioning module in the target vehicle is an electronic device that determines the vehicle's geographical location by receiving satellite signals (such as GPS, BeiDou, etc.). Its core functions include real-time positioning, trajectory tracking, and security monitoring. The positioning module can obtain the target vehicle's location information in real time.

[0067] The system includes multi-regional weather forecast information for the location, but may include, however, nationwide weather forecast information. The network communication module in the target vehicle is a core component of the intelligent vehicle, responsible for enabling data interaction and remote control functions both inside and outside the vehicle. The network communication module may, but is not limited to, obtaining weather forecast information from a meteorological server via a network.

[0068] Location information represents the current location of the target vehicle. Based on the location information, weather forecast information corresponding to the target vehicle's location is extracted from weather forecast information, and the weather type of the location is determined accordingly. In this embodiment of the invention, the mapping relationship between weather forecast information and weather type can be preset, that is, after obtaining the local weather forecast information, the corresponding weather type can be determined according to the preset mapping relationship between weather forecast information and weather type.

[0069] The vehicle control method provided in this invention obtains location information and weather forecast information through the target vehicle's own inherent positioning module and network communication module to determine the weather type. The implementation method is simple and does not require excessive increase in the hardware implementation cost of the target vehicle.

[0070] Please see Figure 3 The diagram shown is a flowchart illustrating a method for determining a target control strategy in a vehicle control method according to some embodiments of the present invention. In some embodiments, S06 includes S062, S064, and S066, each step of which is described below.

[0071] S062: Based on weather type, determine one or more environmental sensing information that correspond to the weather type from multiple environmental sensing information.

[0072] S064: Based on the environmental perception information corresponding to the weather type, select one of the preset control strategies corresponding to the weather type.

[0073] S066: Modify the selected preset control strategy based on the operating habit information to obtain the target control strategy.

[0074] Based on the control requirements of the target vehicle under different weather conditions, a pre-set correspondence between weather types and sensors in the target vehicle can be established. Each weather type corresponds to a set of sensors, and each set of sensors includes at least one type of sensor. Different sets of sensors can have at least one identical sensor. After obtaining the current weather type, the environmental perception information sensed by the corresponding sensor can be obtained based on the correspondence between the weather type and the sensor, i.e., environmental perception information that corresponds to the weather type.

[0075] Based on the different environmental perception information corresponding to each weather type, multiple different preset control strategies can be pre-set for each weather type, and the mapping relationship between the environmental perception information and the preset control strategies for each weather type can be stored. Therefore, after determining the environmental perception information corresponding to the weather type, a preset control strategy that is mapped to the corresponding environmental perception information can be selected as the chosen preset control strategy. Taking high-temperature weather as an example, the corresponding environmental perception information can include the vehicle's interior temperature information. When the interior temperature information indicates that the interior temperature is higher than a certain temperature, a preset control strategy corresponding to high interior temperature is selected; otherwise, another preset control strategy corresponding to non-high interior temperature is selected.

[0076] Based on the environmental perception information corresponding to the weather type, a preset control strategy that matches the corresponding environmental perception information is selected from the preset control strategies corresponding to the weather type. The selected preset control strategy is determined based on the fusion of the weather type and the corresponding environmental perception information, so that the selected preset control strategy matches both the current weather type and the corresponding environmental perception information under the current weather type.

[0077] By modifying the preset control strategy based on user operation habits, the final target control strategy can be further matched with the user's operating habits. This ensures that the final target control strategy meets the user's control needs for the target vehicle under the current weather type and corresponding environmental perception information. The vehicle control method provided in this embodiment first determines the corresponding preset control strategy based on the weather type, then selects the corresponding preset control strategy based on the corresponding environmental perception information, and finally modifies the selected preset control strategy based on the user's operating habits to obtain the target control strategy for controlling the target vehicle. The vehicle control method provided in this embodiment mainly relies on real-time acquired relevant information (such as weather type and environmental perception information) and gradually determines a more precise control strategy based on a pre-set correspondence (mapping relationship), ultimately obtaining a target control strategy with a relatively high degree of matching with the user's needs. The implementation is simple, and the control of the target vehicle meets the user's needs, thus eliminating the need for manual fine-tuning of function keys and improving vehicle driving safety.

[0078] Please see Figure 4 The diagram shown is a flowchart illustrating a method for selecting a preset control strategy in a vehicle control method according to some embodiments of the present invention. In some embodiments, when the weather type is high-temperature weather (the forecast temperature of the location is higher than or equal to a first preset temperature), the sensor corresponding to the high-temperature weather includes a temperature sensor for sensing the temperature inside the target vehicle. S064 includes S0642, S0644, and S0646, and each step is described below.

[0079] S0642: Based on the temperature information sensed by the temperature sensor, determine whether the interior temperature of the target vehicle is higher than or equal to a second preset temperature; wherein the second preset temperature is greater than the first preset temperature. If the determination result of S0642 is yes, then proceed to step S0643; otherwise, proceed to step S0645.

[0080] S0644: Select the first preset control strategy from the preset control strategies corresponding to the weather type: first control the windows to open and then close, and then turn on the cooling.

[0081] S0646: Select the second preset control strategy that directly turns on the cooling from the preset control strategies corresponding to the weather type.

[0082] In the vehicle control method provided in this embodiment of the invention, high-temperature weather refers to weather where the temperature at the location of the target vehicle is higher than a first preset temperature as reported in the weather forecast. The first preset temperature may be, but is not limited to, 35 degrees Celsius. That is, when the weather forecast reports that the temperature at the location of the target vehicle is higher than 35 degrees Celsius, the control device in the target vehicle determines that the current weather type is high-temperature weather. In some embodiments, high-temperature weather may be further defined as weather where the temperature at the location is higher than the first preset temperature under non-rainy conditions.

[0083] When the current weather type is determined to be high temperature, the corresponding preset control strategy is a high temperature mode control strategy for controlling air conditioning cooling. In the vehicle control method provided in this embodiment of the invention, the preset control strategy corresponding to high temperature weather includes at least a preset control strategy corresponding to a relatively low in-vehicle temperature and a preset control strategy corresponding to a relatively low in-vehicle temperature.

[0084] Based on temperature information detected by temperature sensors, the interior temperature of a target vehicle under high-temperature weather conditions can be determined. When the interior temperature reaches or exceeds a second preset temperature (e.g., 38 degrees Celsius), it indicates that the interior temperature of the target vehicle is relatively high, exceeding the outside temperature (which is similar to the weather forecast temperature for the location). In this case, the first preset control strategy among several preset control strategies for high-temperature weather is selected, i.e., the windows are first opened and then closed, and the air conditioning is activated. When the interior temperature is lower than the second preset temperature (e.g., 38 degrees Celsius), it indicates that the interior temperature of the target vehicle is relatively low. In this case, the second preset control strategy among several preset control strategies for high-temperature weather is selected, i.e., the air conditioning is activated directly. When the interior temperature is too high, the windows are opened briefly before the air conditioning is turned on to cool down the vehicle, in order to expel the accumulated heat and harmful gases such as formaldehyde from the interior. This quickly removes heat and improves the air quality inside the vehicle, thereby improving the user's comfort during driving and preventing harmful gases from adversely affecting the user's health. When the interior temperature is relatively low, the air conditioning is turned on directly with the windows closed to quickly cool the interior to a comfortable temperature for the user.

[0085] In some embodiments, the first preset control strategy may include: when the interior temperature of the vehicle reaches a second preset temperature, controlling one or more windows to open for a preset time (e.g., 1 to 2 minutes) to quickly remove heat and harmful gases from the vehicle through ventilation; after the preset time, controlling the windows to close and controlling the air conditioner to turn on for cooling, and adjusting the air conditioner's cooling setting temperature to a third preset temperature (e.g., 22 degrees Celsius); when the interior temperature drops to a fourth preset temperature (e.g., 25 degrees Celsius) that is higher than the third preset temperature, reducing the fan speed to a preset level (e.g., the middle level) to reduce power consumption and achieve energy saving.

[0086] In some embodiments, the first preset control strategy further includes: controlling the air circulation mode of the target vehicle to external circulation mode during the opening of the window, so as to accelerate the exhaust of residual hot air from the air conditioning duct. The first preset control strategy may also include: controlling the fan to operate at maximum airflow during the opening of the window to improve the air exhaust effect.

[0087] In some embodiments, the first preset control strategy further includes controlling the vehicle's cavity circulation mode to internal circulation after the windows are closed and the air conditioning is turned on, in order to improve cooling efficiency.

[0088] In some embodiments, the difference between the second preset strategy and the first preset strategy lies only in that when the weather type is hot and the interior temperature is lower than the second preset temperature, the air conditioner is directly controlled to cool, without needing to pre-set a window ventilation time. The control strategy for controlling air conditioning cooling in the second preset strategy can be the same as that in the first preset strategy, and will not be described further here.

[0089] Please see Figure 5 The diagram shown is a flowchart illustrating a method for selecting a preset control strategy in a vehicle control method according to some embodiments of the present invention. In some embodiments, when the weather type is heavy rain, the sensor corresponding to the heavy rain includes a visibility sensor for sensing the visibility of the target vehicle's driving environment. S064 includes S0641, S0643, and S0645, and each step is described below.

[0090] S0641: Based on the visibility information sensed by the visibility sensor, determine whether the visibility of the driving environment is less than the preset visibility. If yes, proceed to step S0643; otherwise, proceed to step S0645.

[0091] S0643: Select a third preset control strategy from the preset control strategies corresponding to the weather type, which will turn on the fog lights and adaptively adjust the wipers based on the amount of rain.

[0092] S0645: Select the fourth preset control strategy from the preset control strategies corresponding to the weather type, which turns off the fog lights and adaptively adjusts the wiper speed based on the amount of rain.

[0093] Both the third and fourth preset control strategies are preset control strategies corresponding to heavy rain weather. Both are control strategies based on adaptive adjustment of the wipers based on rainfall. The third preset control strategy is to turn on the fog lights and adjust the wiper operation based on rainfall when the visibility is less than the preset visibility. The fourth control strategy is to turn off the fog lights and adjust the wiper operation based on rainfall when the visibility is greater than the preset visibility.

[0094] The visibility of the target vehicle's driving environment can include, but is not limited to, the visibility directly in front of the driver's line of sight. When it is less than a preset visibility level (e.g., 100 meters), it indicates that the current visibility is relatively low, and fog lights should be turned on to assist lighting and improve driving safety. Otherwise, fog lights are not necessary to reduce vehicle energy consumption. Furthermore, in heavy rain, windshield wipers should be used to prevent rain from obstructing the driver's vision, thereby improving driving safety. The operating frequency of the windshield wipers is determined by the amount of rainfall; the heavier the rainfall, the higher the operating frequency, and vice versa, thus achieving both improved driver visibility and energy efficiency.

[0095] In some embodiments, the third preset control strategy further includes: activating hazard lights while turning on fog lights to alert surrounding vehicles and improve driving safety. Additionally, the third predictive control strategy includes: turning off fog lights or turning off both fog lights and hazard lights when visibility exceeds a preset visibility level to reduce energy consumption.

[0096] In some embodiments, the preset control strategies corresponding to rainstorm weather also include controlling each window to close and switching the lights to or maintaining them in low beam mode to avoid adverse effects on other vehicles in the driving environment, thereby improving driving safety.

[0097] In addition, in some embodiments, the preset control strategies corresponding to rainstorm weather also include: when the weather type is determined to be rainstorm weather, turning on the air conditioner external circulation and controlling the fan air volume to a preset air volume (such as the maximum air volume) to enter the windshield blowing mode, thereby avoiding windshield fogging and improving driving safety.

[0098] In addition, in some embodiments, the preset control strategies corresponding to rainstorm weather also include heating control of the rearview mirror and defogging control of the rear windshield when the weather type is determined to be rainstorm weather, so as to avoid the rainstorm weather affecting the clarity of the mirror or glass.

[0099] In some embodiments, when the weather type is icy or snowy, the corresponding sensor may include a visibility sensor. The preset control strategy for icy or snowy weather is an anti-icing control strategy, meaning that each preset control strategy for icy or snowy weather includes anti-icing operation control for the target vehicle to prevent the vehicle's windows or mirrors from icing up and obstructing visibility. Similarly, the preset control strategy for icy or snowy weather may also include a fog light off anti-icing control strategy corresponding to higher visibility and a fog light on anti-icing control strategy corresponding to lower visibility. Each preset control strategy for icy or snowy weather can be preset based on the user's operational needs for the target vehicle in icy or snowy weather.

[0100] The vehicle control method provided in this invention determines the final target control strategy based on the fusion of weather type, corresponding environmental perception information, and user operating habit information, which is beneficial to improving vehicle driving safety and reducing vehicle power consumption. For example, in some embodiments, the vehicle control method provided by this invention can reduce the fuel consumption of the target vehicle by 7-11%, and can also improve safety performance, such as reducing the accident rate of the target vehicle by more than 29% under extreme weather conditions such as high temperature, heavy rain, and snow.

[0101] In some embodiments, S066 includes: modifying the corresponding control parameters in the selected preset control strategy according to the corresponding preset correction range based on the operation habit information, to obtain the target control strategy. The target control strategy provided in this embodiment of the invention includes control parameters of each component of the target vehicle, such as window opening time, wiper speed, and air conditioning temperature. Based on the operation habit information, each control parameter is modified within the corresponding preset correction range so that each control parameter is closer to the user's personal habits, thereby achieving automatic control that meets the user's personalized needs and improving driving comfort and safety.

[0102] In some embodiments, S066 includes: weighting a control strategy corresponding to the user's operating habit information with a selected preset control strategy to obtain a target control strategy. In this embodiment, a control strategy corresponding to the user's operating habit information is preset. After determining the operating habit information, the corresponding control strategy can be determined. Then, the control strategy corresponding to the operating habit is weighted with the aforementioned selected preset control strategy according to preset weights, thereby achieving the fusion of user operating habits with weather and environment, and determining the target control strategy based on the fusion result. Therefore, the vehicle control method provided by this embodiment can obtain a target control strategy that matches weather, environment, and user operating habits respectively.

[0103] In some embodiments, the vehicle control method provided by the present invention further includes storing the preprocessed standard user's operating habit information for the target vehicle and the corresponding weather type in a distributed database (such as Hadoop, HBase, etc.), which is beneficial for large-scale data processing and can provide efficient data access and computing capabilities.

[0104] Please see Figure 6 The diagram shown is a flowchart illustrating a method for determining a target control strategy in a vehicle control method according to other embodiments of the present invention. In other embodiments, S06 includes S061 and S063, and the steps are described below.

[0105] S061: Determine the first control strategy, the second control strategy, and the third control strategy of the target vehicle in the environmental scenario corresponding to the weather type based on the weather type, the environmental perception information corresponding to the weather type, and the operation habit information, respectively.

[0106] S063: According to the preset weighting weights, the first control strategy, the second control strategy, and the third control strategy are weighted to obtain the target control strategy.

[0107] In some embodiments, it can be used , , These represent the first, second, and third control strategies, respectively, with the target control strategy represented by... Therefore, the expression for the target control strategy in this embodiment is as follows:

[0108] ;

[0109] in, , , These are the weights for weather conditions (i.e., the preset weights corresponding to the first control strategy), environmental conditions (i.e., the preset weights corresponding to the second control strategy), and driver's driving habits (i.e., the preset weights corresponding to the third control strategy). , , , , , , These are control strategies determined based on weather conditions, environmental conditions, and the driver's driving habits. The vehicle control method provided in this invention comprehensively calculates the control strategy for the target vehicle based on the weights of different weather, environmental conditions, and user driving habits (i.e., operating habits). By assigning different weights to different factors, it can more reasonably consider the impact of weather, environment, and driver's driving habits on vehicle control, thereby determining the most suitable target control strategy for the current situation and improving driving safety and driving experience.

[0110] In some embodiments, the vehicle control method provided by the present invention further includes normalizing the environmental perception information acquired by sensors in the target vehicle and the weather forecast information acquired by the network communication module. Normalization maps data from different ranges to the [0,1] interval, eliminating the influence of different dimensions between data, enabling the user-predictive model to be trained and calculated more accurately, and improving the model's stability and accuracy.

[0111] Please see Figure 7The diagram shows a structural schematic of a vehicle control device 700 based on environment and user habits provided according to some embodiments of the present invention. The vehicle control device 700 provided in this embodiment includes an environment acquisition module 702, a user habit acquisition module 704, and a strategy determination module 706. The environment acquisition module 702 is used to acquire the weather type of the target vehicle's location and the environmental perception information from sensors in the target vehicle. The weather type includes high temperature weather, heavy rain weather, or snowy weather. The user habit acquisition module 704 is used to input the weather type into a user habit prediction model to obtain user operation habit information for the target vehicle under the environmental scenario corresponding to the weather type. The strategy determination module 706 is used to determine a target control strategy for operating the target vehicle based on the weather type, the environmental perception information corresponding to the weather type, and the operation habit information, and then perform operation control on the target vehicle based on the target control strategy.

[0112] In some embodiments, the environment acquisition module 702 is specifically used to acquire the location information of the target vehicle's location through the positioning module, and to acquire multi-region weather forecast information containing the location through the network communication module; and to extract the local weather forecast information from the multi-region weather forecast information based on the location information to determine the weather type.

[0113] In some embodiments, the strategy determination module 706 is specifically used to determine one or more environmental perception information that corresponds to the weather type from multiple environmental perception information based on the weather type, and to select a corresponding preset control strategy from the preset control strategy corresponding to the weather type based on the environmental perception information corresponding to the weather type; and to modify the selected preset control strategy according to the operation habit information to obtain the target control strategy.

[0114] In some embodiments, the strategy determination module 706 is specifically used to determine whether the interior temperature of the target vehicle is higher than or equal to a second preset temperature based on the temperature information sensed by the temperature sensor; if so, select a first preset control strategy from the preset control strategies corresponding to the weather type, which first controls the windows to open and then close and turns on the cooling; if not, select a second preset control strategy from the preset control strategies corresponding to the weather type, which directly turns on the cooling.

[0115] In some embodiments, the strategy determination module 706 is specifically used to determine whether the visibility of the driving environment is less than a preset visibility based on the visibility information perceived by the visibility sensor; if so, select a third preset control strategy from the preset control strategies corresponding to the weather type, which turns on the fog lights and adaptively adjusts the wipers based on the rainfall; if not, select a fourth preset control strategy from the preset control strategies corresponding to the weather type, which turns off the fog lights and adaptively adjusts the wiper speed based on the rainfall.

[0116] In some embodiments, the strategy determination module 706 is specifically used to modify the corresponding control parameters in the selected preset control strategy according to the corresponding preset correction range based on the operation habit information, so as to obtain the target control strategy; or, to perform weighted processing on the control strategy corresponding to the operation habit information and the selected preset control strategy to obtain the target control strategy.

[0117] In some embodiments, the strategy determination module 706 is specifically used to determine the first control strategy, the second control strategy, and the third control strategy corresponding to the target vehicle in the environmental scenario corresponding to the weather type based on the weather type, the environmental perception information corresponding to the weather type, and the operation habit information; and to weight the first control strategy, the second control strategy, and the third control strategy according to a preset weighting weight to obtain the target control strategy.

[0118] The vehicle control device 700 provided in this embodiment of the invention and the vehicle control method provided in this embodiment of the invention can achieve essentially the same technical effects, and will not be described in detail here.

[0119] Please see Figure 8 As shown, it is a structural diagram of a vehicle control device 800 based on environment and user habits provided according to some embodiments of the present invention. The vehicle control device 800 includes a processor 801 and a memory 802. The memory 802 is used to store programs, instructions or code, and the processor 801 is used to execute the programs, instructions or code in the memory to complete the voice cloning method provided according to any embodiment of the present invention.

[0120] The vehicle control device 800 provided in this embodiment of the invention and the vehicle control method provided in this embodiment of the invention can achieve essentially the same technical effects, and will not be described in detail here.

[0121] The memory 802 can be random access memory (RAM), flash memory, read-only memory (ROM), EPROM, non-volatile read-only memory (Electronic Programmable ROM), registers, hard disk, removable disk, etc. The memory 802 can store computer instructions. When the computer instructions stored in the memory 802 are executed by the processor 801, the processor 801 can use them to execute the aforementioned vehicle control method.

[0122] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape) or a semiconductor medium (e.g., solid-state disk (SSD)).

[0123] This invention also provides a readable storage medium for storing the vehicle control method provided in the above embodiments. Examples include random access memory (RAM), flash memory, read-only memory (ROM), EPROM, non-volatile read-only memory (EEPROM), registers, hard disks, removable disks, or any other form of storage medium in the art.

[0124] It is understood that the term "connection" in the embodiments of the present invention can be interpreted as "electrical connection," "communication connection," etc., if the connected circuits, units, etc. can transmit electrical signals or data to each other.

[0125] It is understood that the specific examples in this document are only intended to help those skilled in the art better understand the embodiments of the present invention, and are not intended to limit the scope of the present invention.

[0126] It is understood that in the various embodiments of the present invention, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0127] It is understood that the various embodiments described in this invention can be implemented individually or in combination, and the embodiments of this invention are not limited in this respect.

[0128] Unless otherwise stated, all technical and scientific terms used in the embodiments of this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this invention is for the purpose of describing particular embodiments only and is not intended to limit the scope of the invention. The term "and / or" as used in this invention includes any and all combinations of one or more of the associated listed items. The singular forms "a," "the," and "the" as used in the embodiments of this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0129] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0130] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A vehicle control method based on environment and user habits, characterized in that, include: The weather type at the location of the target vehicle and the environmental perception information from the sensors in the target vehicle are obtained; wherein, the weather type includes high temperature weather, heavy rain weather or snowy weather; The weather type is input into the user habit prediction model to obtain the user's operating habits information of the target vehicle under the environmental scenario corresponding to the weather type. Based on the weather type, the environmental perception information corresponding to the weather type, and the operation habit information, a target control strategy for operating the target vehicle is determined, so as to operate the target vehicle based on the target control strategy; The step of obtaining the weather type of the target vehicle's location includes: obtaining the location information of the target vehicle's location through a positioning module, and obtaining multi-region weather forecast information containing the location through a network communication module; and extracting the weather forecast information of the location from the multi-region weather forecast information based on the location information to determine the weather type. The step of determining the target control strategy for operating the target vehicle based on the weather type, the environmental perception information corresponding to the weather type, and the operation habit information includes: determining one or more environmental perception information corresponding to the weather type from a plurality of environmental perception information; selecting a corresponding preset control strategy from the preset control strategy corresponding to the weather type based on the environmental perception information corresponding to the weather type; and modifying the selected preset control strategy according to the operation habit information to obtain the target control strategy. When the weather type is high-temperature weather (the forecast temperature of the location is higher than or equal to a first preset temperature), the sensor corresponding to the high-temperature weather includes a temperature sensor for sensing the temperature inside the target vehicle. The step of selecting a corresponding preset control strategy from the preset control strategies corresponding to the weather type based on the environmental perception information includes: determining whether the interior temperature of the target vehicle is higher than or equal to a second preset temperature based on the temperature information sensed by the temperature sensor; wherein the second preset temperature is greater than the first preset temperature; if so, selecting a first preset control strategy from the preset control strategies corresponding to the weather type that first controls the windows to open and then close, and then activates the cooling system; if not, selecting a second preset control strategy from the preset control strategies corresponding to the weather type that directly activates the cooling system. The step of modifying the selected preset control strategy according to the operation habit information to obtain the target control strategy includes: modifying the corresponding control parameters in the selected preset control strategy according to the operation habit information and a corresponding preset modification range to obtain the target control strategy; or, weighting the control strategy corresponding to the operation habit information and the selected preset control strategy to obtain the target control strategy.

2. The vehicle control method according to claim 1, characterized in that, When the weather type is heavy rain, the sensor corresponding to the heavy rain includes a visibility sensor for sensing the visibility of the target vehicle's driving environment. The step of selecting a corresponding preset control strategy from the weather type based on the environmental perception information corresponding to the weather type includes: Based on the visibility information sensed by the visibility sensor, determine whether the visibility of the driving environment is less than a preset visibility. If so, select from the preset control strategies corresponding to the weather type a third preset control strategy that turns on the fog lights and adaptively adjusts the wipers based on the amount of rain. If not, select the fourth preset control strategy from the preset control strategies corresponding to the weather type, which is to turn off the fog lights and adaptively adjust the wiper speed based on the rainfall.

3. A vehicle control device based on environment and user habits, characterized in that, include: An environment acquisition module is used to acquire the weather type of the target vehicle's location and the environmental perception information from the sensors in the target vehicle; wherein, the weather type includes high temperature weather, heavy rain weather, or snowy weather; The user habit acquisition module is used to input the weather type into the user habit prediction model to obtain the user's operation habit information of the target vehicle in the environmental scenario corresponding to the weather type. The strategy determination module is used to determine a target control strategy for operating the target vehicle based on the weather type, the environmental perception information corresponding to the weather type, and the operation habit information, so as to operate the target vehicle based on the target control strategy. The step of obtaining the weather type of the target vehicle's location includes: obtaining the location information of the target vehicle's location through a positioning module, and obtaining multi-region weather forecast information containing the location through a network communication module; and extracting the weather forecast information of the location from the multi-region weather forecast information based on the location information to determine the weather type. The step of determining the target control strategy for operating the target vehicle based on the weather type, the environmental perception information corresponding to the weather type, and the operation habit information includes: determining one or more environmental perception information corresponding to the weather type from a plurality of environmental perception information; selecting a corresponding preset control strategy from the preset control strategy corresponding to the weather type based on the environmental perception information corresponding to the weather type; and modifying the selected preset control strategy according to the operation habit information to obtain the target control strategy. When the weather type is high-temperature weather (the forecast temperature of the location is higher than or equal to a first preset temperature), the sensor corresponding to the high-temperature weather includes a temperature sensor for sensing the temperature inside the target vehicle. The step of selecting a corresponding preset control strategy from the preset control strategies corresponding to the weather type based on the environmental perception information includes: determining whether the interior temperature of the target vehicle is higher than or equal to a second preset temperature based on the temperature information sensed by the temperature sensor; wherein the second preset temperature is greater than the first preset temperature; if so, selecting a first preset control strategy from the preset control strategies corresponding to the weather type that first controls the windows to open and then close, and then activates the cooling system; if not, selecting a second preset control strategy from the preset control strategies corresponding to the weather type that directly activates the cooling system. The step of modifying the selected preset control strategy according to the operation habit information to obtain the target control strategy includes: modifying the corresponding control parameters in the selected preset control strategy according to the operation habit information and a corresponding preset modification range to obtain the target control strategy; or, weighting the control strategy corresponding to the operation habit information and the selected preset control strategy to obtain the target control strategy.

4. A vehicle control device based on environment and user habits, characterized in that, It includes a processor and a memory, the memory being used to store programs, instructions, or code, and the processor being used to execute the programs, instructions, or code in the memory to perform the vehicle control method as described in claim 1 or 2.

5. A computer-readable storage medium, characterized in that, The system contains a computer program that is loaded by a processor to execute the vehicle control method as described in claim 1 or 2.

Images