Automatic defrosting methods, devices, equipment and storage media for vehicle interiors

Abstract

This application discloses an automatic defrosting method, apparatus, device, and storage medium for in-vehicle systems, relating to the field of automotive thermal management technology. This application acquires in-vehicle temperature, humidity, airflow velocity, outside temperature, and vehicle downtime; calculates the frosting probability and current in-vehicle comfort level based on these parameters; and performs automatic defrosting based on the frosting probability and current in-vehicle comfort level. This solves the problem of ensuring in-vehicle comfort while efficiently and quickly defrosting, achieving intelligent and energy-efficient in-vehicle defrosting and improving both defrosting efficiency and passenger comfort.

Description

Technical Field

[0001] This application relates to the technical field of automotive thermal management, and more particularly to an automatic defrosting method, apparatus, device, and storage medium for vehicle interiors. Background Technology

[0002] With the rapid development of the automotive industry, the comfort of the in-car environment is increasingly valued by consumers. Especially in winter or low-temperature environments, frost often forms on surfaces such as windshields and windows due to temperature differences. This not only severely obstructs the driver's view but also significantly impacts passenger comfort. Currently, although various in-car defrosting solutions exist on the market, such as using electric heating wires to heat windows or utilizing the car's warm air circulation for defrosting, these methods generally suffer from high energy consumption and slow defrosting speed. Particularly when the vehicle is first started, due to the low interior temperature, the defrosting effect of these methods is often unsatisfactory, failing to meet the defrosting effectiveness and comfort needs of drivers and passengers.

[0003] Therefore, how to ensure the comfort of the in-vehicle environment while defrosting efficiently and quickly is a problem that urgently needs to be solved. Summary of the Invention

[0004] The main purpose of this application is to provide an automatic defrosting method, device, equipment, and storage medium for vehicle interiors, aiming to solve the technical problem of how to ensure the comfort of the vehicle interior environment while efficiently and quickly defrosting.

[0005] To achieve the above objectives, this application proposes an automatic defrosting method for vehicle interiors, the method comprising:

[0006] It can acquire data on vehicle interior temperature, humidity, fan speed, outside temperature, and vehicle downtime.

[0007] The probability of frosting and the current in-vehicle comfort level are obtained based on the in-vehicle temperature, in-vehicle humidity, in-vehicle wind speed, outside vehicle temperature, and vehicle downtime.

[0008] Automatic defrosting of the vehicle interior is performed based on the frosting probability and the current in-vehicle comfort level.

[0009] In one embodiment, the step of obtaining the frosting probability and the current in-vehicle comfort level based on the in-vehicle temperature, the in-vehicle humidity, the in-vehicle wind speed, the outside temperature, and the vehicle downtime includes:

[0010] The temperature difference between the inside and outside of the vehicle is obtained based on the inside temperature and the outside temperature.

[0011] The current in-vehicle comfort level is obtained based on the in-vehicle temperature, the in-vehicle humidity, and the in-vehicle wind speed.

[0012] The probability of frost formation is obtained by processing the internal and external temperature difference, the humidity inside the vehicle, and the vehicle downtime using a preset model.

[0013] In one embodiment, the step of obtaining the current in-vehicle comfort level based on the in-vehicle temperature, the in-vehicle humidity, and the in-vehicle wind speed includes:

[0014] The average interior temperature and the interior temperature difference are calculated based on the interior temperature.

[0015] The current in-vehicle comfort level is calculated by weighted averaging the average in-vehicle temperature, the in-vehicle temperature difference, the in-vehicle humidity, and the in-vehicle wind speed.

[0016] In one embodiment, the step of automatically defrosting the vehicle interior based on the frosting probability and the current in-vehicle comfort level includes:

[0017] When the frosting probability is greater than the preset frosting warning probability, a warning message is sent to the mobile terminal so that the mobile terminal can provide feedback control commands based on the warning message.

[0018] The system receives control commands from the mobile terminal and performs automatic defrosting of the vehicle interior based on the control commands and the current in-vehicle comfort level.

[0019] In one embodiment, the control commands include an air conditioning start command and an airflow direction adjustment command, and the step of automatically defrosting the vehicle interior based on the control commands and the current in-vehicle comfort level includes:

[0020] The vehicle's air conditioning heating mode is activated according to the air conditioning start command, and the airflow direction of the air conditioning vents is adjusted to the preset target defrost position according to the airflow direction adjustment command, so that the vehicle interior can automatically defrost.

[0021] The heating temperature and fan speed of the air conditioner are adjusted in real time according to the current in-vehicle comfort level, so that the current in-vehicle comfort level is within the preset target comfort range.

[0022] In one embodiment, after the step of sending a warning message to the mobile terminal when the frosting probability is greater than a preset frosting warning probability, so that the mobile terminal can provide feedback control commands based on the warning message, the method further includes:

[0023] If no control command is received from the mobile terminal, the current time is obtained;

[0024] When the current time reaches the preset start time, the vehicle's air conditioning heating mode is activated to automatically defrost the interior of the vehicle according to the preset control command.

[0025] In one embodiment, after the step of automatically defrosting the vehicle interior based on the frosting probability and the current in-vehicle comfort level, the method further includes:

[0026] Acquire image and temperature information from the vehicle windows;

[0027] The defrosting progress and estimated completion time are obtained based on the image information and the temperature information, and then the defrosting progress and estimated completion time are sent to the mobile terminal.

[0028] Furthermore, to achieve the above objectives, this application also proposes an automatic defrosting device for vehicle interiors, the device comprising:

[0029] The data acquisition module is used to obtain data such as vehicle interior temperature, vehicle interior humidity, vehicle interior wind speed, outside temperature, and vehicle downtime.

[0030] The frost detection module is used to determine the frost probability and current in-vehicle comfort level based on the in-vehicle temperature, in-vehicle humidity, in-vehicle wind speed, outside vehicle temperature, and vehicle downtime.

[0031] An automatic defrosting module is used to automatically defrost the vehicle interior based on the frosting probability and the current in-vehicle comfort level.

[0032] In addition, to achieve the above objectives, this application also proposes an automatic vehicle defrosting device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the automatic vehicle defrosting method described above.

[0033] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the automatic defrosting method for the vehicle interior as described above.

[0034] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the automatic defrosting method for the vehicle interior as described above.

[0035] This application provides an automatic defrosting method for in-vehicle interiors. This method acquires in-vehicle temperature, humidity, airflow speed, outside temperature, and vehicle downtime; calculates the frosting probability and current in-vehicle comfort level based on these parameters; and performs automatic defrosting based on the frosting probability and current in-vehicle comfort level. In summary, this application achieves intelligent and energy-efficient in-vehicle defrosting by comprehensively monitoring data such as temperature, airflow speed, and humidity, predicting frosting and defrosting, and intelligently executing defrosting strategies, thereby improving the efficiency of in-vehicle defrosting and passenger comfort. Attached Figure Description

[0036] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0037] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0038] Figure 1 A flowchart illustrating the first embodiment of the automatic defrosting method for vehicle interiors provided in this application;

[0039] Figure 2 A flowchart illustrating the second embodiment of the automatic defrosting method for vehicle interiors provided in this application;

[0040] Figure 3 A flowchart illustrating the third embodiment of the automatic defrosting method for vehicle interiors provided in this application;

[0041] Figure 4 This is a schematic diagram of the module structure of the automatic defrosting method device for vehicles according to an embodiment of this application;

[0042] Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the automatic defrosting method inside the vehicle in this application embodiment.

[0043] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0044] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0045] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0046] The main solution of this application embodiment is: to obtain the in-vehicle temperature, in-vehicle humidity, in-vehicle wind speed, outside vehicle temperature, and vehicle downtime; to obtain the frosting probability and current in-vehicle comfort level based on the in-vehicle temperature, in-vehicle humidity, in-vehicle wind speed, outside vehicle temperature, and vehicle downtime; and to perform automatic defrosting of the in-vehicle interior based on the frosting probability and the current in-vehicle comfort level.

[0047] With the rapid development of the automotive industry, the comfort of the in-car environment is increasingly valued by consumers. Especially in winter or low-temperature environments, frost often forms on surfaces such as windshields and windows due to temperature differences. This not only severely obstructs the driver's view but also significantly impacts passenger comfort. Currently, while various in-car defrosting solutions exist, such as using heating wires to heat windows or utilizing the car's warm air circulation for defrosting, these methods generally suffer from high energy consumption and slow defrosting speed. Particularly when the vehicle is first started, the low interior temperature makes these methods less effective, failing to meet the defrosting efficiency and comfort requirements of drivers and passengers. Therefore, how to ensure a comfortable in-car environment while efficiently and quickly defrosting is a pressing issue that needs to be addressed.

[0048] This application achieves intelligent and energy-saving in-vehicle defrosting by comprehensively utilizing data such as temperature, wind speed, and humidity, predicting frost formation and defrosting, and intelligently executing defrosting strategies, thereby improving the efficiency of in-vehicle defrosting and passenger comfort.

[0049] It should be noted that the executing entity in this embodiment can be an in-vehicle automatic defrosting system, a computing service device with data processing, network communication, and program execution functions, or an electronic device capable of realizing the aforementioned in-vehicle automatic defrosting function, etc. This embodiment does not specifically limit it in this way. The following uses an in-vehicle automatic defrosting system as an example to describe this embodiment and the following embodiments.

[0050] Based on this, this application provides an automatic defrosting method for vehicle interiors, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the automatic defrosting method for vehicle interiors according to this application.

[0051] In this embodiment, the automatic defrosting method inside the vehicle includes steps S10 to S30:

[0052] Step S10: Obtain the vehicle interior temperature, vehicle interior humidity, vehicle interior fan speed, vehicle exterior temperature, and vehicle downtime.

[0053] It should be noted that in this step, the system acquires the interior temperature using temperature sensors installed in various locations within the vehicle (such as the windshield, side windows, roof, and under the seats), and simultaneously monitors the exterior temperature using temperature sensors installed in appropriate locations outside the vehicle (such as windows and the windshield). Additionally, it acquires the interior humidity and wind speed using humidity and wind speed sensors installed inside the vehicle. Multiple humidity sensors are also used, evenly distributed in various locations (such as the roof, under the seats, etc.). The system reads the output values ​​of each sensor in real time through the vehicle's control system or a dedicated data acquisition unit. These values ​​include the temperature (T0) of various parts of the vehicle interior. in,i ), outside temperature (T) out The system records the vehicle's interior humidity (RH) and airflow speed (V). Additionally, the vehicle's control system needs to record the vehicle's downtime (T), which is the time since the engine, air conditioning, and heater were last turned off. It should also be noted that the airflow speed is generally 0 m / s under default conditions (i.e., when the vehicle is not running or the air conditioning is off), but when the vehicle is moving or the air conditioning is running, the airflow speed will affect the temperature distribution inside the vehicle and the comfort level of the passengers.

[0054] Understandably, this step is fundamental to data collection, and the acquired data serves as a crucial basis for subsequent data analysis, prediction, and the development of defrosting strategies. By monitoring these environmental parameters in real time, the environmental conditions inside and outside the vehicle can be accurately assessed.

[0055] Step S20: Obtain the frosting probability and current in-vehicle comfort level based on the in-vehicle temperature, in-vehicle humidity, in-vehicle wind speed, outside vehicle temperature, and vehicle downtime.

[0056] It's important to note that the frosting probability is a value between 0 and 1, representing the likelihood of frost forming on the windshield and windows under the current conditions (probability increases from left to right). Similarly, the current in-car comfort level is also a value between 0 and 1, representing the level of comfort inside the car under the current conditions (higher comfort from left to right). The comfort level assessment is based on a comprehensive calculation of in-car temperature, humidity, airflow, and a pre-defined comfortable range set by the user. For example, the system determines the current comfort level based on the user-defined comfortable range and assigns weights to different parameters (in-car temperature, humidity, and airflow) based on their respective comfortable ranges.

[0057] Step S30: Perform automatic defrosting inside the vehicle based on the frosting probability and the current in-vehicle comfort level.

[0058] It should be noted that in this step, after obtaining the frosting probability and in-vehicle comfort assessment results, the system will automatically defrost according to the preset intelligent defrosting strategy. For example, if the frosting probability exceeds a certain threshold (such as 70%), the intelligent defrosting strategy will be triggered to defrost.

[0059] Additionally, it should be noted that the intelligent defrosting strategy can be implemented by controlling the vehicle's air conditioning heating system, by controlling the engine's waste heat for whole-vehicle circulation heating, or by controlling heating wires embedded in or inside the windshield, window edges, etc. This embodiment does not impose any limitations on these methods.

[0060] In one feasible implementation, after step S30, the method further includes:

[0061] Step A10: Obtain image and temperature information of the vehicle window.

[0062] It should be noted that the image information refers to the window image data captured by a high-definition camera, while the temperature information refers to the window temperature data monitored in real time by an infrared temperature sensor. This window temperature data includes multiple data points, consisting of temperature data from multiple evenly divided areas of the window.

[0063] It's understandable that frost may form on the inside of car windows after a vehicle has been parked outdoors for a period of time, especially on winter mornings or in cold regions. The system can then accurately determine the extent of frost buildup on the windows by combining these two types of information.

[0064] Step A20: Obtain the defrosting progress and estimated completion time based on the image information and temperature information, and send the defrosting progress and estimated completion time to the mobile terminal.

[0065] It's important to note that in this step, the system first uses image processing techniques and data analysis algorithms to assess the defrosting progress based on the acquired image and temperature information. Specifically, the system performs edge detection and color analysis on the image to identify the area and distribution of frost on the window; simultaneously, it analyzes the physical properties of the frost, such as its thickness and hardness, in conjunction with temperature data. Based on this analysis, the system calculates the current defrosting progress, i.e., the proportion of frost already removed from the entire window. Next, the system uses a machine learning model or a pre-set algorithm to predict the remaining defrosting time, i.e., the estimated completion time, based on the current defrosting speed and progress. Finally, the system sends the defrosting progress and estimated completion time to the car owner's mobile terminal (such as a mobile app) via a wireless communication module (such as a 4G / 5G network).

[0066] Additionally, it's important to note that defrosting progress refers to the percentage of frost already removed from all windows, expressed as a percentage; estimated completion time, on the other hand, is the predicted remaining defrosting time based on the current defrosting speed and conditions. For example, before triggering the defrost, the driver can check via a mobile app that the defrosting progress has reached 80%, with an estimated 3 minutes remaining. This information allows drivers to plan their trips accordingly and avoid delays due to waiting.

[0067] Understandably, the purpose of this step is to improve the transparency and controllability of the defrosting process by providing real-time feedback on the defrosting progress and estimated completion time to the car owner, thereby enhancing the car owner's user experience.

[0068] This embodiment provides an automatic defrosting method for in-vehicle interiors. This embodiment acquires in-vehicle temperature, humidity, airflow speed, outside temperature, and vehicle downtime. Based on the in-vehicle temperature, humidity, airflow speed, outside temperature, and downtime, it calculates the frosting probability and the current in-vehicle comfort level. Automatic defrosting is then performed based on the frosting probability and the current in-vehicle comfort level. In summary, this embodiment, by comprehensively utilizing monitoring data such as temperature, airflow speed, and humidity, and predicting frosting and defrosting, and intelligently executing defrosting strategies, achieves intelligent and energy-efficient in-vehicle defrosting, improving both defrosting efficiency and passenger comfort.

[0069] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in Embodiment 1 above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 , Figure 2 This is a flowchart illustrating the second embodiment of the automatic defrosting method for vehicle interiors according to this application. Step S20 specifically includes:

[0070] Step S201: Obtain the temperature difference between the inside and outside of the vehicle based on the inside temperature and the outside temperature.

[0071] It should be noted that in this step, after the system obtains the interior and exterior temperatures, it first calculates the temperature difference between the interior and exterior based on the temperature data of various points inside the vehicle (such as the windshield, roof, and under the seats) and the exterior temperature data. Then, it takes the average of these temperature differences as the overall interior-exterior temperature difference. Furthermore, it should be noted that the method for calculating the average interior temperature can be adjusted according to actual needs; it can use either the difference method or a weighted average method, with weights based on the relative importance of different locations.

[0072] Understandably, the temperature difference between the inside and outside of a vehicle is one of the important indicators for assessing whether the interior of a vehicle is prone to frost formation. A larger temperature difference means that the interior surfaces are more likely to reach frost conditions when they come into contact with water vapor in the cold air. Therefore, calculating the temperature difference can provide data support for subsequent frost prediction.

[0073] Step S202: Obtain the current in-vehicle comfort level based on the in-vehicle temperature, the in-vehicle humidity, and the in-vehicle wind speed.

[0074] It should be noted that in this step, the system further utilizes data collected by in-vehicle temperature, humidity, and wind speed sensors. A comfort algorithm (such as the PMV / PPD model or its variants) is used to calculate the current comfort level inside the vehicle, combining these parameters (in-vehicle temperature, humidity, and wind speed). Alternatively, a weighted average method can be used, calculating the current comfort level by weighting the relative importance of different parameters. Both algorithms consider the human body's perception of the thermal environment, including the impact of temperature, humidity, and wind speed on perceived comfort.

[0075] In one feasible implementation, step S202 specifically includes:

[0076] Step B10: Calculate the average interior temperature and the interior temperature difference based on the interior temperature.

[0077] It should be noted that in this step, the system calculates the average interior temperature based on the interior temperatures at multiple points and locations within a short period. The average interior temperature is the average of the temperatures at various points inside the vehicle, reflecting the overall temperature level and facilitating comparison with the outside temperature. Specifically, the calculation of the average interior temperature is shown in Formula 1:

[0078]

[0079] in This refers to the average interior temperature of the vehicle, where 'n' refers to the total number of temperature measurement locations inside the vehicle, and 'T' is the average interior temperature. in,i This refers to the temperature measured by the i-th temperature sensor.

[0080] Additionally, it should be noted that the calculation of the temperature difference inside the vehicle is achieved by finding the difference between the highest and lowest temperatures inside the vehicle. Specifically, the calculation of the temperature difference inside the vehicle is shown in Formula 2:

[0081] ΔT in =T Max -T Min (Formula 2)

[0082] It is understandable that ΔT in It's the temperature difference inside the car, T Max It is T in,iThe maximum value in T represents the highest temperature inside the vehicle. Min It is T in,i The minimum value in the range, i.e., the lowest temperature inside the vehicle.

[0083] Step B20: Calculate the current in-vehicle comfort level by performing a weighted average calculation based on the average in-vehicle temperature, the in-vehicle temperature difference, the in-vehicle humidity, and the in-vehicle wind speed.

[0084] It should be noted that in this step, the system will use a comfort evaluation function C, which can be pre-set with weighting factors, to assess the average temperature inside the vehicle. Temperature difference ΔT inside the car in The current in-vehicle comfort level is calculated by weighting and averaging the in-vehicle humidity (RH) and in-vehicle wind speed (V). The specific calculation process is shown in Formula 3.

[0085]

[0086] Understandably, f is a complex function defined according to specific comfort standards and individual needs, containing multiple weighting factors to balance the impact of different parameters on comfort.

[0087] Step S203: The probability of frost formation is obtained by processing the internal and external temperature difference, the vehicle interior humidity, and the vehicle downtime using a preset model.

[0088] It's important to note that in this step, the system pre-cleans the historical data, removing outliers and missing values. Then, feature engineering is performed to extract useful features such as temperature difference (inside and outside the vehicle), humidity, wind speed, and vehicle downtime, followed by normalization / standardization to ensure consistent model input. A suitable regression model (e.g., linear regression, logistic regression) is selected, and the model is trained using historical data. The goal of model training is to establish a mapping relationship between input parameters (inside / outside temperature, humidity, outside temperature, and vehicle downtime) and output parameters (frost probability). Subsequently, the system uses the trained model to analyze the processed (normalized / standardized) real-time data (inside / outside temperature difference, inside / outside humidity, and vehicle downtime) to predict the likelihood of frost formation (i.e., frost probability).

[0089] In this embodiment, the average interior temperature and temperature difference are obtained by processing the interior temperature. These are then combined with the temperature difference between the inside and outside of the vehicle, the interior humidity, and the vehicle's downtime for comprehensive analysis, improving the accuracy of frost probability prediction. Furthermore, the weighting of the comfort assessment function is customized based on actual conditions and user needs to ensure it accurately reflects the comfort level of the in-vehicle environment, thus improving the accuracy of in-vehicle comfort assessment.

[0090] Based on the first and second embodiments of this application, in the third embodiment of this application, the content that is the same as or similar to that in embodiments one and two above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 3 , Figure 3 This is a flowchart illustrating the third embodiment of the automatic defrosting method for vehicle interiors according to this application. Step S30 specifically includes:

[0091] Step S301: When the frosting probability is greater than the preset frosting warning probability, send a warning message to the mobile terminal so that the mobile terminal can provide feedback control commands based on the warning message.

[0092] It should be noted that the preset frosting warning probability is a threshold set based on historical data, vehicle characteristics, and owner needs, used to determine whether a warning message needs to be sent to the owner. The mobile terminal here refers to the owner's mobile phone or other portable device with network communication capabilities, used to receive warning messages and send control commands. In this step, the system compares the calculated frosting probability with the preset frosting warning probability. When the frosting probability is greater than the preset frosting warning probability, the system automatically generates a warning message and sends it to the owner's mobile terminal via the remote control system or mobile app. The warning message includes a detailed description of the frosting risk, such as the expected frosting time, location, and probability.

[0093] In one feasible implementation, after step S301, the method further includes:

[0094] Step C10: If no control command is received from the mobile terminal, obtain the current time.

[0095] It should be noted that the current time refers to the time information obtained by the system through internal clock or network synchronization. In this step, if the system does not receive feedback control instructions from the mobile terminal within a certain period of time (i.e., the car owner has not actively started the defrosting program), the system will continue to run and automatically obtain the current time.

[0096] Understandably, the purpose of this step is to determine whether the preset automatic start time has been reached, so that the system can automatically start the defrosting program if the owner does not actively operate it.

[0097] Step C20: When the current time reaches the preset start time, start the vehicle's air conditioning heating mode to automatically defrost the vehicle interior according to the preset control command.

[0098] It's important to note that the preset start time is a time point set by the owner or the system based on daily driving habits, used to automatically initiate the defrosting program at a specific time. The preset control commands are a series of pre-set operation instructions within the system, used to automatically execute the defrosting program under specific conditions. In this step, when the system determines that the current time has reached the preset automatic start time and no control command has been received from the mobile terminal, the system will automatically activate the vehicle's air conditioning heating mode according to the preset control commands. At this time, the air conditioning system starts working, blowing hot air into the vehicle to quickly melt the frost. If the owner does not take immediate action after receiving the warning information, the system will automatically obtain the current time after a period of time (e.g., 5 minutes). If the current time has reached the owner's preset automatic start time (e.g., 7:00 AM) and the owner has still not sent a control command via the mobile terminal, the system will automatically activate the air conditioning heating mode and adjust the air conditioning to a suitable temperature and fan speed for quick and effective defrosting.

[0099] Step S302: Receive the control command fed back by the mobile terminal, and automatically defrost the vehicle interior according to the control command and the current in-vehicle comfort level.

[0100] It's important to note that control commands refer to instructions sent by the vehicle owner to the system via their mobile device to control the vehicle's defrosting operation. Specifically, in this step, the system first receives and parses the defrosting control command from the mobile device to understand the owner's defrosting needs. Before initiating the defrosting procedure, the system reassesses the current comfort level inside the vehicle, including factors such as temperature, humidity, and wind speed, to ensure that the comfort level is not excessively reduced during the defrosting process. Then, based on the received control command and the current comfort level inside the vehicle, the system intelligently formulates a defrosting strategy (such as adjusting the air conditioning system's airflow mode and temperature setting).

[0101] In one feasible implementation, the automatic defrosting of the vehicle interior based on the control command and the current in-vehicle comfort level specifically includes:

[0102] Step D10: Activate the vehicle's air conditioning heating mode according to the air conditioning start command, and adjust the airflow direction of the air conditioning vents to the preset target defrost position according to the airflow direction adjustment command, so that the vehicle interior can automatically defrost.

[0103] It should be noted that the control commands include air conditioning start commands and airflow direction adjustment commands. Air conditioning start commands are commands issued by the vehicle owner via remote control or in-vehicle operation to activate the air conditioning heating mode. Airflow direction adjustment commands are commands used to control the direction of the air conditioning vents, typically generated based on the vehicle's actual frosting condition and preset defrosting strategies. Preset target defrosting locations refer to pre-defined areas in the vehicle that require priority defrosting, such as the windshield and side windows.

[0104] Additionally, it should be noted that in this step, when the vehicle owner issues an air conditioning start command via the remote control system or the vehicle's built-in touchscreen, the system first recognizes the command and activates the vehicle's air conditioning heating mode. Subsequently, according to the preset airflow direction adjustment command, the system controls the air conditioning system's air delivery mechanism to adjust the airflow direction of the vents to the preset target defrosting position. The target defrosting position includes areas prone to frost buildup, such as the windshield and side windows, to ensure that hot air can directly act on these areas for rapid defrosting.

[0105] Step D20: Adjust the heating temperature and fan speed of the air conditioner in real time according to the current in-vehicle comfort level, so that the current in-vehicle comfort level is within the preset target comfort level range.

[0106] It's important to note that the preset target comfort range refers to the desired level of comfort for the passenger environment set by the owner based on personal preferences and actual needs. Specifically, while the system initiates the defrost procedure, the vehicle's internal temperature and humidity sensors continuously monitor environmental parameters such as temperature and humidity, transmitting these parameters to the system. The system then adjusts the air conditioning's heating temperature and fan speed in real-time based on a comparison between the current in-vehicle comfort level and the preset target comfort range. When the in-vehicle temperature is low, the system increases the heating temperature and appropriately raises the fan speed to accelerate heating; when the in-vehicle temperature approaches or reaches the preset target range, the system appropriately lowers the heating temperature and fan speed to maintain a comfortable driving environment. For example, if the owner remotely initiates the vehicle's defrost procedure via a mobile app, the system immediately activates the vehicle's air conditioning heating mode and directs the airflow towards the windshield and side windows, quickly melting the frost on these surfaces and providing the owner with a clear driving view. During the defrost process, the intelligent control system detects that the in-vehicle comfort level is lower than the preset value based on data from the in-vehicle temperature sensors. To enhance in-car comfort, the system automatically increases the heating temperature and fan speed of the air conditioning. As the interior temperature gradually rises, the system appropriately reduces the heating temperature and fan speed to maintain a stable and comfortable interior temperature.

[0107] In this embodiment, by precisely controlling the heating mode and airflow direction of the air conditioning system, the air inside the vehicle is rapidly heated and the heat is concentrated on the frosted area, thereby accelerating the melting of frost and improving defrosting efficiency. Simultaneously, by intelligently adjusting the heating temperature and fan speed of the air conditioning system, the comfort level inside the vehicle is consistently maintained within a preset target range, avoiding both overheating and overcooling, and improving energy efficiency. Furthermore, the automated operation process reduces manual intervention by the driver, enhancing ease of use.

[0108] This application also provides an automatic defrosting device for vehicle interiors; please refer to [reference needed]. Figure 4 The in-vehicle automatic defrosting device includes:

[0109] Data acquisition module 10 is used to acquire in-vehicle temperature, in-vehicle humidity, in-vehicle wind speed, outside vehicle temperature, and vehicle downtime.

[0110] The frost detection module 20 is used to obtain the frost probability and the current in-vehicle comfort level based on the in-vehicle temperature, the in-vehicle humidity, the in-vehicle wind speed, the outside temperature, and the vehicle downtime.

[0111] The automatic defrosting module 30 is used to automatically defrost the vehicle interior based on the frosting probability and the current in-vehicle comfort level.

[0112] The automatic vehicle defrosting device provided in this application, employing the automatic vehicle defrosting method described in the above embodiments, can solve the technical problem of ensuring the comfort of the vehicle interior environment while efficiently and quickly defrosting. Compared with the prior art, the beneficial effects of the automatic vehicle defrosting device provided in this application are the same as those of the automatic vehicle defrosting method provided in the above embodiments, and other technical features of the automatic vehicle defrosting device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0113] In one embodiment, the data acquisition module 10 is also used to acquire image information and temperature information of the vehicle window.

[0114] In one embodiment, the data acquisition module 10 is further configured to acquire the current time when no control command is received from the mobile terminal.

[0115] In one embodiment, the frost determination module 20 is further configured to obtain the defrosting progress and the estimated completion time based on the image information and the temperature information, and send the defrosting progress and the estimated completion time to the mobile terminal.

[0116] In one embodiment, the frosting determination module 20 is further configured to obtain the temperature difference between the inside and outside of the vehicle based on the inside temperature and the outside temperature; obtain the current comfort level inside the vehicle based on the inside temperature, the humidity inside the vehicle, and the wind speed inside the vehicle; and process the temperature difference between the inside and outside of the vehicle, the humidity inside the vehicle, and the vehicle downtime using a preset model to obtain the frosting probability.

[0117] In one embodiment, the frost determination module 20 is further configured to calculate the average interior temperature and the interior temperature difference based on the interior temperature; and to calculate the current interior comfort level by performing a weighted average calculation based on the average interior temperature, the interior temperature difference, the interior humidity, and the interior wind speed.

[0118] In one embodiment, the automatic defrosting module 30 is further configured to send a warning message to a mobile terminal when the frosting probability is greater than a preset frosting warning probability, so that the mobile terminal can provide a control command based on the warning message; receive the control command provided by the mobile terminal, and perform automatic defrosting of the vehicle interior according to the control command and the current in-vehicle comfort level.

[0119] In one embodiment, the automatic defrosting module 30 is further configured to activate the vehicle's air conditioning heating mode according to the air conditioning start command, adjust the airflow direction of the air conditioning vents to a preset target defrosting position according to the airflow direction adjustment command, so that the vehicle interior can automatically defrost; and adjust the heating temperature and fan speed of the air conditioning in real time according to the current vehicle interior comfort level, so that the current vehicle interior comfort level is within the preset target comfort level range.

[0120] In one embodiment, the automatic defrosting module 30 is further configured to activate the vehicle's air conditioning heating mode for automatic defrosting inside the vehicle according to a preset control command when the current time reaches a preset start time.

[0121] This application provides an automatic defrosting device for vehicle interiors, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the automatic defrosting method for vehicle interiors described in Embodiment 1 above.

[0122] The following is for reference. Figure 5 The diagram illustrates a structural schematic suitable for implementing an in-vehicle automatic defrosting device according to embodiments of this application. The in-vehicle automatic defrosting device in embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The automatic defrosting device shown in the vehicle is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of this application.

[0123] like Figure 5As shown, the in-vehicle automatic defrosting device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the in-vehicle automatic defrosting device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the in-vehicle automatic defrosting system to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows an in-vehicle automatic defrosting system with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented alternatively.

[0124] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0125] The automatic vehicle defrosting device provided in this application, employing the automatic vehicle defrosting method described in the above embodiments, can solve the technical problem of ensuring the comfort of the vehicle interior environment while efficiently and quickly defrosting. Compared with the prior art, the beneficial effects of the automatic vehicle defrosting device provided in this application are the same as those of the automatic vehicle defrosting method provided in the above embodiments, and other technical features of this automatic vehicle defrosting device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0126] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0127] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0128] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the automatic defrosting method for the vehicle interior in the above embodiments.

[0129] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0130] The aforementioned computer-readable storage medium may be included in the vehicle's automatic defrosting system; or it may exist independently and not be installed in the vehicle's automatic defrosting system.

[0131] The aforementioned computer-readable storage medium carries one or more programs that, when executed by the vehicle interior automatic defrosting device, cause the vehicle interior automatic defrosting device to: acquire the vehicle interior temperature, vehicle interior humidity, vehicle interior wind speed, vehicle exterior temperature, and vehicle downtime; obtain the frosting probability and current vehicle interior comfort level based on the vehicle interior temperature, vehicle interior humidity, vehicle interior wind speed, vehicle exterior temperature, and vehicle downtime; and perform automatic defrosting of the vehicle interior based on the frosting probability and the current vehicle interior comfort level.

[0132] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0133] The flowcharts and block diagrams 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. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a 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, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can 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.

[0134] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0135] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described automatic defrosting method for the vehicle interior. This solves the technical problem of ensuring a comfortable in-vehicle environment while efficiently and quickly defrosting. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the automatic defrosting method for the vehicle interior provided in the above embodiments, and will not be repeated here.

[0136] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the automatic defrosting method for the vehicle interior as described above.

[0137] The computer program product provided in this application can solve the technical problem of ensuring the comfort of the vehicle interior environment while efficiently and quickly defrosting. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the automatic defrosting method for the vehicle interior provided in the above embodiments, and will not be repeated here.

[0138] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for automatic defrosting inside a vehicle, characterized in that, The method includes: It can acquire data on vehicle interior temperature, humidity, fan speed, outside temperature, and vehicle downtime. The temperature difference between the inside and outside of the vehicle is obtained based on the inside temperature and the outside temperature. The average interior temperature and the interior temperature difference are calculated based on the interior temperature. The current in-vehicle comfort level is calculated by weighting the average in-vehicle temperature, the in-vehicle temperature difference, the in-vehicle humidity, and the in-vehicle wind speed. The probability of frost formation is obtained by processing the internal and external temperature difference, the humidity inside the vehicle, and the vehicle downtime using a preset model. Automatic defrosting of the vehicle interior is performed based on the frosting probability and the current in-vehicle comfort level.

2. The method as described in claim 1, characterized in that, The step of automatically defrosting the vehicle interior based on the frosting probability and the current in-vehicle comfort level includes: When the frosting probability is greater than the preset frosting warning probability, a warning message is sent to the mobile terminal so that the mobile terminal can provide feedback control commands based on the warning message. The system receives control commands from the mobile terminal and performs automatic defrosting of the vehicle interior based on the control commands and the current in-vehicle comfort level.

3. The method as described in claim 2, characterized in that, The control commands include air conditioning start commands and airflow direction adjustment commands. The step of automatically defrosting the vehicle interior based on the control commands and the current in-vehicle comfort level includes: The vehicle's air conditioning heating mode is activated according to the air conditioning start command, and the airflow direction of the air conditioning vents is adjusted to the preset target defrost position according to the airflow direction adjustment command, so that the vehicle interior can automatically defrost. The heating temperature and fan speed of the air conditioner are adjusted in real time according to the current in-vehicle comfort level, so that the current in-vehicle comfort level is within the preset target comfort range.

4. The method as described in claim 2, characterized in that, After the step of sending a warning message to the mobile terminal when the frosting probability is greater than the preset frosting warning probability, so that the mobile terminal can provide feedback control commands based on the warning message, the method further includes: If no control command is received from the mobile terminal, the current time is obtained; When the current time reaches the preset start time, the vehicle's air conditioning heating mode is activated to automatically defrost the interior of the vehicle according to the preset control command.

5. The method according to any one of claims 1 to 4, characterized in that, After performing automatic defrosting of the vehicle interior based on the frosting probability and the current in-vehicle comfort level, the method further includes: Acquire image and temperature information from the vehicle windows; The defrosting progress and estimated completion time are obtained based on the image information and the temperature information, and then the defrosting progress and estimated completion time are sent to the mobile terminal.

6. An automatic defrosting device for vehicle interiors, characterized in that, The device includes: The data acquisition module is used to obtain data such as vehicle interior temperature, vehicle interior humidity, vehicle interior wind speed, outside temperature, and vehicle downtime. The frost detection module is used to obtain the temperature difference between the inside and outside of the vehicle based on the inside temperature and the outside temperature; calculate the average inside temperature and the temperature difference inside the vehicle based on the inside temperature; calculate the current inside comfort level by weighted averaging the average inside temperature, the temperature difference inside the vehicle, the humidity inside the vehicle, and the wind speed inside the vehicle; and obtain the frost probability by processing the temperature difference between the inside and outside of the vehicle, the humidity inside the vehicle, and the vehicle downtime through a preset model. An automatic defrosting module is used to automatically defrost the vehicle interior based on the frosting probability and the current in-vehicle comfort level. The automatic defrosting device is used to implement the automatic defrosting method for the vehicle interior as described in any one of claims 1 to 5.

7. An automatic defrosting device for vehicle interiors, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the automatic defrosting method for the vehicle interior as described in any one of claims 1 to 5.

8. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the automatic defrosting method for the vehicle interior as described in any one of claims 1 to 5.

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