A control method, device, medium, and vehicle for a rear air conditioning panel timer.

Abstract

This application provides a control method, device, medium, and vehicle for a rear air conditioning panel timer, relating to the field of air conditioning technology. The method predicts the number of times a user will adjust the temperature control button on the rear air conditioning panel based on the target user's preferred indoor temperature and current human and environmental conditions. Based on the user's air conditioning adjustment habits in similar scenarios, it determines the likely number of adjustments the user will make this time. Then, based on the predicted number of adjustments, it determines a suitable target duration. During the timer's run, the actual number of presses is fully recorded and sent to a remote information processing control unit. This unit can then determine the target air conditioning temperature set by the rear passenger based on the complete and accurate count information and accurately control the air conditioning system. Finally, the correct target air conditioning temperature is promptly displayed on the rear air conditioning panel, thereby improving the user experience.

Description

Technical Field

[0001] This application relates to the field of air conditioning technology, and in particular to a control method, device, medium, and vehicle for a rear air conditioning panel timer. Background Technology

[0002] Currently, some EV (Electric Vehicle) models use a TDU (Telematics Box) controller for their air conditioning. When a rear passenger adjusts the air conditioning temperature via the rear air conditioning panel (RAC), the generated temperature adjustment command is forwarded to the TDU via the VIU (Vehicle Information Unit). The TDU then controls the air conditioning system according to the command and collects the actual air conditioning temperature after the command is executed. This data is then forwarded back to the rear air conditioning panel for display via the VIU.

[0003] However, when rear passengers quickly and repeatedly click the temperature adjustment button on the rear air conditioning panel, the TDU may lose the command due to its slow response time. This results in the actual air conditioning temperature displayed on the rear air conditioning panel being inconsistent with the air conditioning temperature set by the rear passengers, affecting the user experience. Summary of the Invention

[0004] This application provides a control method, device, medium, and vehicle for a rear air conditioning panel timer to solve the above-mentioned problems.

[0005] The first aspect of this application provides a control method for a rear air conditioning panel timer, the method comprising:

[0006] Determine the target indoor temperature preferred by the target users in the back row;

[0007] Based on the target indoor temperature, the current rear indoor temperature, and the target user's current body surface temperature, the predicted number of adjustments for the target user is determined; wherein, the predicted number of adjustments refers to the predicted cumulative number of times the target user presses the temperature adjustment button in the rear air conditioning panel;

[0008] Based on the predicted number of adjustments, the target duration of the target timer is determined; wherein, the target timer is configured to start timing when the temperature adjustment button is first pressed, and to restart timing if the timing duration has not reached the target duration and the temperature adjustment button is pressed again, so that the remote information processing control unit, when the timing duration reaches the target duration, controls the air conditioning panel to display the target air conditioning temperature based on the actual cumulative number of times the temperature adjustment button is pressed and the unit temperature adjustment.

[0009] Optionally, determine the target indoor temperature preferred by the target user, including:

[0010] Obtain the thermal comfort evaluation index value corresponding to the target user; the thermal comfort evaluation index value is used to characterize the target user's perception of thermal and cold comfort;

[0011] Based on the thermal comfort evaluation index value, the target indoor temperature preferred by the target user is determined.

[0012] Optionally, the method further includes:

[0013] Based on different test environments, the target user's last adjustment of the stable air conditioning temperature behind the rear air conditioning panel determines the target indoor temperature preferred by the target user.

[0014] Based on the target indoor temperature, determine the thermal comfort evaluation index value corresponding to the target user.

[0015] Optionally, based on the target indoor temperature, the current rear indoor temperature, and the target user's current body surface temperature, the predicted adjustment number for the target user is determined, including:

[0016] Based on the current vehicle interior temperature, the current air conditioning temperature, the target user's current body surface temperature, and the preset target body surface temperature, determine the current body surface temperature adjustment time required for the target user's body temperature to reach the target body surface temperature from the current body surface temperature.

[0017] Based on the current body surface temperature adjustment duration, the temperature difference between the target indoor temperature and the current rear indoor temperature, and the air conditioning adjustment habits of the target user, the predicted number of adjustments for the target user is determined; wherein, the air conditioning adjustment habits are used to characterize the correspondence between temperature difference, body surface temperature adjustment duration, and number of adjustments.

[0018] Optionally, the method further includes:

[0019] Based on different test environments, the historical vehicle interior temperature, historical first air conditioning temperature, historical body surface temperature and target body surface temperature of the target user when getting into the vehicle, the historical body surface temperature adjustment time required for the target user's body temperature to reach the target body surface temperature from the historical body surface temperature;

[0020] Obtain the historical second air conditioning temperature behind the air conditioning panel after adjustment by the target user;

[0021] Based on the temperature difference between the historical rear interior temperature and the historical second air conditioning temperature when the target user got into the vehicle, the historical body surface temperature adjustment duration, and the number of times the target user pressed the temperature adjustment button within the historical body surface temperature adjustment duration, sample data corresponding to the target user is obtained.

[0022] Cluster analysis was performed on the sample data to obtain the air conditioning adjustment habits of the target users.

[0023] Optionally, the method further includes:

[0024] When the driver turns on the air conditioning in advance, the driver's preset front air conditioning temperature is obtained, and the driver's driving time is determined.

[0025] Based on the front air conditioning temperature and the duration of time the driver gets into the vehicle, the front interior temperature when the driver gets in the vehicle is determined.

[0026] The current rear cabin temperature is determined based on the front cabin temperature and the thermal conduction temperature difference between the front and rear cabins of the vehicle.

[0027] Optionally, determining the front cabin temperature when the driver gets into the vehicle based on the front air conditioning temperature and the duration of time spent in the vehicle includes:

[0028] Based on the initial indoor temperature when the driver turns on the air conditioning in advance, the front air conditioning temperature, and the duration of time in the vehicle, determine the amount of heat consumed by the air conditioning system after the duration of time in the vehicle at the front air conditioning temperature.

[0029] Based on the calorific value and the initial indoor temperature, the front cabin temperature when the driver gets into the vehicle is determined.

[0030] Based on the same inventive concept, a second aspect of this application provides a control device for a rear air conditioning panel timer, the device comprising:

[0031] The target temperature determination module is used to determine the target indoor temperature preferred by the target users in the back row.

[0032] The adjustment frequency prediction module is used to determine the predicted adjustment frequency of the target user based on the target indoor temperature, the current rear indoor temperature, and the current body surface temperature of the target user; wherein, the predicted adjustment frequency refers to the predicted cumulative number of times the target user presses the temperature adjustment button in the rear air conditioning panel;

[0033] The target duration determination module is used to determine the target duration of the target timer based on the predicted number of adjustments. The target timer is configured to start timing when the temperature adjustment button is first pressed, and to restart timing if the timing duration has not reached the target duration and the temperature adjustment button is pressed again. This allows the remote information processing control unit to control the air conditioning panel to display the target air conditioning temperature based on the actual cumulative number of times the temperature adjustment button has been pressed and the unit temperature adjustment when the timing duration reaches the target duration.

[0034] Based on the same inventive concept, a third aspect of the present application provides a storage medium storing machine-executable instructions, which, when executed by a processor, implement the control method for the rear air conditioning panel timer as proposed in the first aspect of the present application.

[0035] Based on the same inventive concept, a fourth aspect of this application provides a vehicle including a processor and a memory; the memory stores machine-executable instructions that can be executed by the processor, and the processor is used to execute the machine-executable instructions to implement the control method for the rear air conditioning panel timer as proposed in the first aspect of this application.

[0036] Compared with the prior art, this application has the following advantages:

[0037] This application provides a control method for a rear air conditioning panel timer. First, the target indoor temperature preferred by the target user is determined. Then, based on the target indoor temperature, the current rear indoor temperature, and the target user's current body surface temperature, the predicted number of adjustments by the target user is determined. The predicted number of adjustments refers to the predicted cumulative number of times the target user presses the temperature adjustment button in the rear air conditioning panel. Afterward, the target duration of the target timer is determined based on the predicted number of adjustments.

[0038] This method predicts the number of times a user will adjust the temperature control button on the rear air conditioning panel based on the target user's preferred indoor temperature and the current human and environmental conditions. It then determines the likely number of adjustments based on the user's air conditioning adjustment habits in similar scenarios. Based on the predicted number of adjustments, a suitable target duration is determined. During the timer's run on the rear air conditioning panel, the actual number of presses is fully recorded and sent to a remote information processing control unit. This unit can then accurately determine the target air conditioning temperature set by the rear passenger and precisely control the air conditioning system. Finally, the correct target air conditioning temperature is promptly fed back to the rear air conditioning panel for display, ensuring that the displayed temperature matches the user's actual settings, thereby improving the user experience. Attached Figure Description

[0039] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a flowchart of a control method for a rear air conditioning panel timer according to an embodiment of this application;

[0041] Figure 2 This is a flowchart of a control method for a rear air conditioning panel timer according to another embodiment of this application;

[0042] Figure 3 This is a schematic diagram of the functional modules of a control device for a rear air conditioning panel timer according to an embodiment of this application;

[0043] Figure 4 This is a structural schematic diagram of a vehicle according to one embodiment of this application. Detailed Implementation

[0044] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0045] Currently, some EV (Electric Vehicle) models use TDU (Telematics Box) controllers for their air conditioning. When rear-seat passengers quickly and repeatedly press the temperature adjustment buttons on the rear air conditioning panel, the TDU may lose commands due to delayed response, resulting in a discrepancy between the actual air conditioning temperature displayed on the rear air conditioning panel and the temperature set by the rear-seat passengers, thus affecting the user experience.

[0046] To address this issue, the inventors proposed a rear air conditioning panel display control method. This method involves setting a target timer to track the number of consecutive adjustments made by rear-seat users. Before the target timer reaches its set duration, the timer restarts whenever a temperature adjustment button is detected being pressed again, continuing until the target duration is successfully reached. The rear air conditioning panel then sends this count information to the Temperature Control Unit (TDU), enabling the TDU to accurately determine the initial target air conditioning temperature set by the rear-seat user and precisely control the air conditioning system accordingly. Finally, the correct initial target air conditioning temperature is displayed on the rear air conditioning panel.

[0047] In the above scheme, the target duration of the target timer has a significant impact on its effectiveness. A target duration that is too short may result in incomplete collection of count information, affecting the accuracy of the final display; a target duration that is too long may cause stuttering or delays in the final display, impacting the user experience. Therefore, determining the target duration of the target timer is a problem that urgently needs to be solved.

[0048] Therefore, this application predicts the number of times a user will adjust the temperature control button on the rear air conditioning panel based on the target user's preferred indoor temperature and the current human and environmental conditions. This allows the system to determine the user's likely adjustment frequency in similar scenarios, and then, based on the predicted adjustment frequency, determine a suitable target duration. During the timer's run on the rear air conditioning panel, the system comprehensively counts the actual number of presses and sends this count information to the remote information processing control unit. This unit then uses the complete and accurate count information to determine the target air conditioning temperature set by the rear passenger and accurately control the air conditioning system. Finally, it promptly feeds back the correct target air conditioning temperature to the rear air conditioning panel for display, ensuring that the displayed temperature matches the user's actual settings, thereby improving the user experience.

[0049] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a control method for a rear air conditioning panel timer according to an embodiment of this application. Figure 1 As shown, the method includes the following steps:

[0050] S101: Determine the target indoor temperature preferred by the target users in the back row.

[0051] In this embodiment, the target user refers to a user whose identity information is recorded. When a user enters the vehicle from the back seat, the user is first identified. If the identification is successful, the user is identified as the target user. Then, the target user's personal database is accessed to determine their preferred target interior temperature. The target interior temperature refers to the desired interior temperature for the target user, and the target user's personal database may include personalized information such as the target user's height, weight, seat usage habits, air conditioning settings, and preferred target interior temperature.

[0052] Specifically, user identity can be identified through facial recognition. When a user boards the vehicle, a camera captures an image of the user's face, which is then compared with pre-stored facial data. If the comparison is successful, the user's identity is confirmed, thus identifying the target user. Alternatively, user identity verification can also be performed using methods such as mobile app recognition; this application does not specifically limit the application to these methods.

[0053] In this embodiment, the target indoor temperature preferred by the target user corresponds to the target user's identity information. The target indoor temperature can be preset by the user through the vehicle system, or it can be collected by the vehicle system based on the user's habits. For example, if it is detected that the user sets the air conditioning temperature to around 25°C in the short term, then the user's preferred target indoor temperature is determined to be 25°C.

[0054] Furthermore, a target user may correspond to one or more target indoor temperatures. For example, a target user may have a target indoor temperature for summer and a target indoor temperature for winter. When the user boards the vehicle and passes authentication, the target indoor temperature preferred by that user can be determined based on the current season.

[0055] S102: Based on the target indoor temperature, the current rear indoor temperature, and the target user's current body surface temperature, determine the number of predicted adjustments for the target user.

[0056] In this embodiment, after the target user in the rear seat gets into the vehicle, they may be dissatisfied with the current interior temperature and will adjust the air conditioning temperature by pressing the temperature adjustment button on the rear air conditioning panel to achieve their preferred interior temperature, i.e., the target interior temperature. Therefore, the aforementioned predicted adjustment count refers to the predicted cumulative number of times the target user presses the temperature adjustment button on the rear air conditioning panel, which can be understood as the number of times the user might press the temperature adjustment button repeatedly in the current scenario, i.e., the number of consecutive presses.

[0057] The aforementioned current rear passenger compartment temperature refers to the temperature inside the vehicle when the target user enters from the rear seat, which can be detected through temperature sensors or other means. The target user's current body surface temperature refers to the body surface temperature when the target user enters from the rear seat, which can be detected through wearable devices or infrared camera thermal imaging or other means.

[0058] It's easy to understand that factors such as the target interior temperature, the current rear interior temperature, and the target user's current body temperature all significantly influence the target user's likely behavior in adjusting the air conditioning temperature. Specifically, the greater the temperature difference between the current rear interior temperature and the target interior temperature, or the higher the target user's body temperature when getting into the car, the more likely the target user is to adjust the temperature, and the more times they might press the buttons repeatedly to quickly lower (or raise) the rear interior temperature to a comfortable level for them.

[0059] In this embodiment, based on the target indoor temperature, the current rear indoor temperature, and the target user's current body surface temperature, the adjustment behavior that the target user may make in the current scenario is predicted, and the cumulative number of times the target user may press the temperature adjustment button is predicted, so as to obtain the predicted number of adjustments by the target user, and provide a reference basis for determining the target duration of the subsequent rear air conditioning panel timer.

[0060] In one feasible implementation, a pre-built intelligent learning model can be used to predict the number of times a target user adjusts their air conditioning settings. This intelligent learning model can employ regression models from machine learning (such as linear regression, random forest regression, gradient boosting trees, etc.) or classification models (such as logistic regression, decision trees, random forests, etc.). By collecting air conditioning adjustment data (including temperature, fan speed, mode, etc.) from the target user or similar users under different conditions, the intelligent learning model is trained and optimized to obtain the pre-built model. During training, the target indoor temperature, the rear indoor temperature, and the target user's body surface temperature are used as primary features to learn the mapping relationship between these features and the number of times the user adjusts their settings. Simultaneously, other relevant features can also be considered, such as indoor-outdoor temperature difference, humidity difference, and changes in light intensity. In application, the target indoor temperature, the current rear indoor temperature, and the target user's current body surface temperature are directly input into the model to obtain the predicted number of times the target user adjusts their settings.

[0061] S103: Determine the target duration of the target timer based on the predicted number of adjustments.

[0062] The target timer is configured to start timing when the temperature adjustment button is first pressed, and to restart timing if the timing duration has not reached the target duration and the temperature adjustment button is pressed again. This allows the remote information processing control unit to adjust the temperature based on the actual cumulative number of times the temperature adjustment button has been pressed and the unit temperature when the timing duration reaches the target duration, and to control the air conditioning panel to display the target air conditioning temperature.

[0063] In this embodiment, the purpose of setting a target timer is to fully count the actual number of times the target user presses the temperature adjustment button repeatedly during the process of the target timer reaching the target duration.

[0064] Specifically, a target timer is set to count the number of consecutive temperature adjustments made by rear-seat users. Before the target duration is reached, the timer restarts every time the temperature adjustment button is detected to be pressed again, continuing until the target duration is successfully achieved. Simply put, the total number of times the user presses the button during that adjustment is the actual cumulative number of presses. The rear air conditioning panel then generates a count signal based on this cumulative count and sends it to the Telematics Box (TDU). The TDU, based on the count signal and the unit temperature adjustment, accurately determines the target air conditioning temperature set by the rear-seat user and precisely controls the air conditioning system to execute the setting. Finally, the correct target air conditioning temperature is fed back to the rear air conditioning panel for display, ensuring that the displayed temperature matches the user's actual settings and improving the user experience.

[0065] In addition, the target timer is equipped with a timeout protection mechanism to forcibly reset the target timer if it reaches the target duration without stopping. This timeout protection mechanism forces the target timer to restart and stop timing if it expires without stopping, preparing for the next air conditioning temperature adjustment. Furthermore, it enables the collection and statistical analysis of the user's adjustment actions at different stages after entering the vehicle, ensuring that the remote information processing control unit accurately executes the user's settings each time, guaranteeing that the air conditioning temperature display on the rear air conditioning panel matches the user's actual settings.

[0066] The target duration of the target timer is related to the number of times the target user adjusts the air conditioning. If the target user adjusts the air conditioning a lot (e.g., 5 or 6 times), it means that the target user spends a long time adjusting the air conditioning temperature through the rear air conditioning panel. If the target duration is set too short, the rear air conditioning panel may send the count signal to the remote information processing control unit before the target user has finished pressing the buttons. This would cause the remote information processing control unit to calculate an incorrect first target air conditioning temperature based on the incomplete count signal and send it back to the rear air conditioning panel display. Therefore, in this case, the target duration of the target timer needs to be set longer to ensure that a complete count signal is collected and sent to the remote information processing control unit for accurate processing. Conversely, if the target user adjusts the air conditioning a little (e.g., 1 or 2 times), it means that the target user spends a short time adjusting the air conditioning temperature through the rear air conditioning panel. In this case, the target duration of the target timer can be set shorter to avoid display delays on the rear air conditioning panel and affect the user experience.

[0067] In practice, the correspondence between the number of adjustments and the target duration can be obtained through testing. For example, pressing the temperature adjustment button twice takes approximately 1 second, and pressing it four times takes approximately 2 seconds. Therefore, when the predicted number of adjustments for the target user is determined to be 2 through the above steps S101-S102, the target duration of the target timer is set to 1 second; when the predicted number of adjustments is 4, the target duration of the target timer is set to 2 seconds.

[0068] This application predicts the number of times a user will adjust the temperature control button on the rear air conditioning panel based on the target user's preferred indoor temperature and the current human and environmental conditions. By doing so, it determines the number of times the user might adjust the air conditioning in similar scenarios, and then determines a suitable target duration for the rear air conditioning panel timer based on the predicted number of adjustments. Ultimately, this improves the accuracy of the temperature display on the rear air conditioning panel and enhances the user experience.

[0069] Please refer to Figure 2 , Figure 2 This is a flowchart illustrating a control method for a rear air conditioning panel timer according to another embodiment of this application. Figure 2 As shown, the method includes the following steps:

[0070] S201: Determine the current rear passenger compartment temperature when the user gets into the vehicle, assuming the driver has turned on the air conditioning in advance.

[0071] In this embodiment, in hot conditions, the driver may activate the IVI (In-Vehicle Infotainment) system in advance via the owner's app on their mobile phone before getting into the vehicle, turn on the front seat air conditioning in advance, and set the driver's preferred air conditioning temperature to lower the interior temperature. Assuming the driver has turned on the front air conditioning in advance, the current rear interior temperature when the driver and rear passengers enter the vehicle simultaneously can be determined as follows:

[0072] S201-1: When the driver turns on the air conditioning in advance, obtain the driver's preset front air conditioning temperature and determine the driver's driving time.

[0073] In this implementation, the front air conditioning temperature is set by the driver according to their preferred temperature, representing the driver's preferred comfortable interior temperature. The "entry time" refers to the time from when the driver turns on the air conditioning until the driver (alongside the rear passengers) gets into the vehicle.

[0074] In practice, GPS positioning, radar, and Bluetooth signal strength (if the car key and vehicle are connected via Bluetooth) can be used to estimate the driver's relative position and speed from the vehicle, thereby estimating the time required for the driver to get into the car.

[0075] S201-2: Determine the front cabin temperature when the driver gets in the vehicle based on the front air conditioning temperature and the duration of time the driver is in the vehicle.

[0076] In this embodiment, based on the front air conditioning temperature and the duration of time spent in the vehicle, the front interior temperature of the vehicle after the air conditioning system operates at the front air conditioning temperature for the duration of time spent in the vehicle can be determined, that is, the front interior temperature when the driver (and rear passengers) gets into the vehicle.

[0077] Specifically, the process mainly includes: determining the amount of heat consumed by the air conditioning system after the driver turns on the air conditioning in advance, based on the initial indoor temperature, the front air conditioning temperature and the duration of time in the vehicle; and determining the front indoor temperature when the driver gets in the vehicle based on the amount of heat and the initial indoor temperature.

[0078] In this embodiment, the amount of heat consumed by the air conditioning system after the duration of driving at the front air conditioning temperature can first be calculated using the following formula. :

[0079]

[0080] in, Indicates the duration of boarding. Indicates the air quality inside the vehicle. This indicates the specific heat capacity of air. This indicates the temperature difference between the initial indoor temperature when the driver turns on the air conditioning in advance and the set front air conditioning temperature.

[0081] In simple terms, this portion of heat represents the heat absorbed (or released) as the initial interior temperature decreases (or increases) to the front passenger compartment temperature when the driver enters the vehicle. Therefore, it can be determined based on the heat value. The formula for calculating the front cabin temperature when the driver gets into the vehicle is as follows:

[0082]

[0083]

[0084] in, This represents the Stefan-Boltzmann constant, approximately 5.67 × 10⁻⁸ watts·m. -2 Kelvin -4 , This represents the vacuum permittivity, approximately 8.85 × 10⁻⁶. -12 Fab / meter, Represents pi (π). This refers to the absolute temperature, specifically the initial indoor temperature when the driver turns on the air conditioning in advance. Front cabin temperature when the driver gets in the car The temperature difference is expressed in Kelvin (K). This indicates the initial interior temperature when the driver turns on the air conditioning in advance. The temperature inside the front seats when the driver gets in the car.

[0085] Therefore, based on the principle of thermal radiation, the interior temperature of the front row of the vehicle can be determined after the air conditioning system has been running at the front row air conditioning temperature for a certain period of time.

[0086] S201-3: Determine the current rear cabin temperature based on the front cabin temperature and the thermal conduction temperature difference between the front and rear cabins of the vehicle.

[0087] In this embodiment, based on the principle of heat conduction, there is a certain temperature difference between the front and rear seats of the vehicle:

[0088]

[0089] in, The value represents the temperature difference between the front and rear seats of the vehicle, h represents the thermal conductivity of the seat material, L represents the seat length, k represents the thermal conductivity of the seat material, and d represents the seat thickness.

[0090] Therefore, based on the front row interior temperature And the temperature difference in heat conduction between the front and rear seats of the vehicle. This allows you to determine the current interior temperature of the rear seats. : .

[0091] In this embodiment, the front cabin temperature when the driver enters the vehicle is calculated based on the principle of thermal radiation, assuming the driver has turned on the air conditioning in advance. The rear cabin temperature when the rear passenger enters the vehicle is then determined based on the thermal conduction temperature difference between the front and rear cabins. Compared to directly detecting the temperature using temperature sensors, the calculated rear cabin temperature is more accurate and beneficial for predicting the frequency of temperature adjustments needed for the target rear passenger.

[0092] S202: Identify the target user among the rear row users and determine the target indoor temperature preferred by the target user.

[0093] In this embodiment, the target user's preferred indoor temperature can be determined by pre-collecting historical air conditioning usage data under different conditions and analyzing the target user's air conditioning setting habits.

[0094] In practice, this can be achieved by establishing a Predicted Mean Value (PMV) model for the target user to quantify their perception of thermal and cooling comfort, thus providing a concrete representation of their air conditioning setting habits. This process mainly includes:

[0095] S202-1: Based on the stable air conditioning temperature behind the air conditioning panel after the last adjustment by the target user under different test environments, determine the target indoor temperature preferred by the target user.

[0096] In this embodiment, different test environments refer to different scenarios influenced by factors such as different outside temperatures, inside temperatures, and user body surface temperatures. Considering that the target user's adjustment of the air conditioning temperature after entering the vehicle may be phased, for example, in the first phase, they might repeatedly press the temperature adjustment button to set the temperature lower (in a hot scenario) to quickly lower the interior temperature. In the second phase, after the interior temperature drops, the target user may feel cold and may repeatedly press the temperature adjustment button again to adjust the air conditioning temperature back to a comfortable level. That is, the target user may actually adjust the air conditioning temperature in multiple rounds. Therefore, the stable air conditioning temperature after the target user's last adjustment is the target interior temperature preferred by the target user, representing the target user's true temperature setting habit. Specifically, the stable air conditioning temperature after the target user's last adjustment refers to the air conditioning temperature after the target user's last round of repeated presses of the temperature adjustment button.

[0097] S202-2: Based on the target indoor temperature, determine the thermal comfort evaluation index value corresponding to the target user.

[0098] Furthermore, the thermal comfort evaluation index value of the target users is calculated to quantify their temperature setting habits. The thermal comfort evaluation index value is used to characterize the target users' perception of thermal and cold comfort.

[0099] Specifically, thermal comfort evaluation index values The calculation method is as follows:

[0100]

[0101] Where M represents the human metabolic rate (unit W / s), the metabolic rate of the human body during slight activity is 2~3.4Met (1Met=58W / ms), and the range of 116~197.258W / ms can be used in the calculation; W represents the work done by the human body (unit W / s), which is taken as 0 in this embodiment; This indicates the partial pressure of water vapor in ambient air (unit: Pascal). The unit represents the air temperature (°C), which in this embodiment is the stable air conditioning temperature mentioned above. It represents the ratio of the surface area of ​​a clothed human body to that of a naked human body; This indicates the average temperature of the outer surface of a person wearing clothing (in °C). This represents the average radiant temperature (in °C). Since the application scenario of this application is mainly in the car cabin and does not involve the area and temperature of each inner surface of the room envelope, this parameter is set to 0. This represents the convective heat transfer coefficient (unit: W / s·ms·℃).

[0102] Furthermore, since air conditioning design specifications require indoor air velocity v < 0.15 m / s in winter and v < 0.25 m / s in summer, we take the air velocity v = 0.15 m / s for winter and v = 0.25 m / s for summer. Here, v represents the relative air velocity. Based on this, the thermal sensing tag for the target user can be determined according to the calculated PMV value.

[0103] For example, the thermal sensation grading criteria are shown in Table 1 below:

[0104] Table 1 Thermal Sensation Levels

[0105]

[0106] For example, in a certain test, the thermal comfort evaluation index value of the target user was calculated using the above method. If the value is -0.8, then the target user's thermal sensation label in this test is slightly cool.

[0107] After multiple tests, a target user will eventually be identified. The values ​​will tend to converge to the same thermal sensory label. Therefore, the value corresponding to this thermal sensory label... The value is determined as the final thermal comfort evaluation index value corresponding to the target user, thereby establishing the correspondence between the target user's preferred target indoor temperature and its thermal comfort evaluation index value, which can be used to calculate the target indoor temperature preferred by the target user in the actual scenario.

[0108] Specifically: Obtain the thermal comfort evaluation index value corresponding to the target user; based on the thermal comfort evaluation index value, determine the target indoor temperature preferred by the target user.

[0109] When applying this method, the thermal comfort evaluation index value corresponding to the target user can be directly obtained, and then the thermal comfort evaluation index value can be substituted into the above... The target indoor temperature preferred by the target user can be deduced from the value calculation formula and combined with the required relevant parameters.

[0110] S203: Based on the target indoor temperature, the current rear indoor temperature, and the target user's current body surface temperature, determine the number of predicted adjustments for the target user.

[0111] In this embodiment, the predicted number of adjustments refers to the predicted cumulative number of times the temperature adjustment button on the air conditioning panel will be pressed by the target user. This can be understood as the number of times the user might repeatedly press the temperature adjustment button in the current scenario, i.e., the number of consecutive presses. Specifically, this process mainly includes:

[0112] S203-1: Based on the current vehicle interior temperature, current air conditioning temperature, current body surface temperature of the target user, and preset target body surface temperature, determine the current body surface temperature adjustment time required for the target user's body temperature to reach the target body surface temperature from the current body surface temperature.

[0113] In this embodiment, the current vehicle interior temperature refers to the overall interior temperature of the vehicle when the user enters, the current air conditioning temperature refers to the set temperature of the air conditioning when the user enters, the current body surface temperature refers to the body surface temperature of the user when entering, and the target body surface temperature refers to the body surface temperature at which the user feels comfortable. For example, the target body surface temperature can be preset to 36°C.

[0114] Since there is a temperature difference between the front and rear rows of the vehicle, the average of the current front and rear interior temperatures can be used to determine the current overall vehicle interior temperature to improve accuracy.

[0115] Specifically, the time required for the target user's body temperature to adjust from its current surface temperature to the target surface temperature can be calculated using the following heat formula. :

[0116]

[0117] in, Indicates heat, Indicates the duration of current body surface temperature regulation. Indicates the thermal conductivity of air. This represents the surface area of ​​human skin. This indicates the thermal conductivity of the skin. This represents the temperature difference between the target user's current body surface temperature and the preset target body surface temperature. Indicates the thermal conductivity coefficient of the human body. This indicates the current interior temperature of the vehicle. Indicates the current air conditioning temperature. This represents the heat dissipation coefficient of the human body. This represents the evaporative heat dissipation coefficient of the human body.

[0118] Therefore, by substituting the current vehicle interior temperature, current air conditioning temperature, current body surface temperature of the target user, preset target body surface temperature, and related parameters into the above formula, the time required for the target user's body temperature to rise from the current body surface temperature to the target body surface temperature can be determined, i.e., the current body surface temperature adjustment time.

[0119] S203-2: Based on the current body surface temperature adjustment time, the temperature difference between the target indoor temperature and the current rear indoor temperature, and the target user's corresponding air conditioning adjustment habits, determine the predicted number of adjustments for the target user.

[0120] Among them, air conditioning adjustment habits are used to characterize the correspondence between temperature difference, body surface temperature adjustment duration, and adjustment frequency. Specifically, establishing air conditioning adjustment habits for target users includes the following steps:

[0121] S203-2-1: Based on the historical vehicle interior temperature, historical first air conditioning temperature, historical body surface temperature and target body surface temperature of the target user when they get into the vehicle under different test environments, determine the historical body surface temperature adjustment time required for the target user's body temperature to reach the target body surface temperature from the historical body surface temperature.

[0122] The calculation method for this process is described in step S203-1 above, and will not be repeated here.

[0123] S203-2-2: Obtain the historical second air conditioning temperature behind the air conditioning panel after the target user has adjusted it.

[0124] The second historical air conditioning temperature refers to the air conditioning setting temperature obtained by the target user after getting into the car and pressing the temperature adjustment button on the rear air conditioning panel.

[0125] S203-2-3: Based on the temperature difference between the historical rear interior temperature and the historical second air conditioning temperature when the target user gets into the vehicle, the historical body surface temperature adjustment time, and the historical number of times the target user pressed the temperature adjustment button within the historical body surface temperature adjustment time, sample data corresponding to the target user is obtained.

[0126] The sample data for the target user is formed by recording the temperature difference between the historical rear interior temperature and the historical second air conditioning temperature when the target user gets into the car, the historical body surface temperature adjustment time, and the number of times the target user pressed the temperature adjustment button within the historical body surface temperature adjustment time.

[0127] For example, some sample data is shown in Table 2 below: where, Indicates the duration of historical body surface temperature regulation. This indicates the temperature difference between the historical rear passenger compartment temperature and the historical second-highest air conditioning temperature when the target user gets into the vehicle. Except for the data in the first row and first column, the rest of the table records the historical number of times the target user pressed the temperature adjustment button within the historical body temperature adjustment duration.

[0128] Table 2 Sample Data

[0129]

[0130] S203-2-4: Perform cluster analysis on the sample data to obtain the air conditioning adjustment habits of the target users.

[0131] After collecting a sufficient amount of the aforementioned sample data, an xy coordinate system can be established with the historical body surface temperature adjustment duration as the x-axis and the temperature difference as the y-axis. Points are plotted based on the historical adjustment frequency, and then similar points are categorized using a clustering mathematical algorithm to construct the air conditioning adjustment habits of the target user. Specifically, the clustering analysis method is existing technology and will not be elaborated upon here.

[0132] In this embodiment, by collecting historical adjustment data of target users, the air conditioning usage habits of users are analyzed, and then the air conditioning adjustment habits of target users are established to obtain the correspondence between temperature difference, body surface temperature adjustment duration and adjustment frequency, so as to predict the adjustment frequency of target users in the future.

[0133] S204: Determine the target duration of the target timer based on the predicted number of adjustments.

[0134] The process of determining the target duration is described in step S103 above and will not be repeated here.

[0135] Please refer to Figure 3 Based on the same inventive concept, a second aspect of this application provides a control device 300 for a rear air conditioning panel timer, the control device 300 comprising:

[0136] The target temperature determination module 301 is used to determine the target indoor temperature preferred by the target users in the back row.

[0137] The adjustment frequency prediction module 302 is used to determine the predicted adjustment frequency of the target user based on the target indoor temperature, the current rear indoor temperature, and the target user's current body surface temperature; wherein, the predicted adjustment frequency refers to the predicted cumulative number of times the target user presses the temperature adjustment button in the rear air conditioning panel;

[0138] The target duration determination module 303 is used to determine the target duration of the target timer based on the predicted number of adjustments. The target timer is configured to start timing when the temperature adjustment button is first pressed, and to restart timing if the timing duration has not reached the target duration and the temperature adjustment button is pressed again. This allows the remote information processing control unit to adjust the temperature based on the actual cumulative number of times the temperature adjustment button has been pressed and to control the air conditioning panel to display the target air conditioning temperature when the timing duration reaches the target duration.

[0139] Optionally, the target temperature determination module 301 includes:

[0140] The thermal perception habit acquisition submodule is used to acquire the thermal comfort evaluation index value corresponding to the target user; the thermal comfort evaluation index value is used to characterize the target user's perception of thermal and cold comfort.

[0141] The target determination submodule is used to determine the target indoor temperature preferred by the target user based on the thermal comfort evaluation index value.

[0142] Optionally, the device further includes:

[0143] The target detection submodule is used to determine the target indoor temperature preferred by the target user based on the stable air conditioning temperature behind the air conditioning panel after the last adjustment by the target user under different test environments.

[0144] The thermal perception habit generation submodule is used to determine the thermal comfort evaluation index value corresponding to the target user based on the target indoor temperature.

[0145] Optionally, the adjustment number prediction module 302 includes:

[0146] The body surface temperature adjustment duration determination submodule is used to determine the current body surface temperature adjustment duration required for the target user's body temperature to reach the target body surface temperature based on the current vehicle interior temperature, current air conditioning temperature, the target user's current body surface temperature and the preset target body surface temperature.

[0147] The prediction submodule is used to determine the predicted number of adjustments for the target user based on the current body surface temperature adjustment duration, the temperature difference between the target indoor temperature and the current rear indoor temperature, and the target user's corresponding air conditioning adjustment habits; among which, air conditioning adjustment habits are used to characterize the correspondence between temperature difference, body surface temperature adjustment duration, and number of adjustments.

[0148] Optionally, the device further includes:

[0149] The sample acquisition submodule is used to determine the historical body surface temperature adjustment time required for the target user's body temperature to reach the target body surface temperature based on the historical whole vehicle interior temperature, historical first air conditioning temperature, historical body surface temperature, and target body surface temperature when the target user gets into the vehicle under different test environments; to obtain the historical second air conditioning temperature behind the air conditioning panel after the target user adjusts the temperature; and to obtain the sample data corresponding to the target user based on the temperature difference between the historical rear interior temperature and the historical second air conditioning temperature when the target user gets into the vehicle, the historical body surface temperature adjustment time, and the historical number of times the target user pressed the temperature adjustment button within the historical body surface temperature adjustment time.

[0150] The air conditioning adjustment habit generation submodule is used to perform cluster analysis on sample data to obtain the air conditioning adjustment habits of the target users.

[0151] Optionally, the device further includes:

[0152] The front air conditioning temperature determination module is used to obtain the driver's preset front air conditioning temperature when the driver turns on the air conditioning in advance, and to determine the driver's length of time in the car.

[0153] The front cabin temperature determination module is used to determine the front cabin temperature when the driver gets into the vehicle based on the front air conditioning temperature and the duration of time spent in the vehicle.

[0154] The current rear cabin temperature determination module is used to determine the current rear cabin temperature based on the front cabin temperature and the thermal conduction temperature difference between the front and rear cabins of the vehicle.

[0155] Optionally, the front cabin temperature determination module includes:

[0156] The heat consumption determination submodule is used to determine the heat consumption of the air conditioning system after the driver turns on the air conditioning in advance, based on the initial indoor temperature, the front air conditioning temperature and the duration of the driver's stay in the vehicle.

[0157] The front cabin temperature calculation submodule is used to determine the front cabin temperature when the driver gets in the vehicle based on the heat value and the initial cabin temperature.

[0158] As the device embodiment is basically similar to the method embodiment, the description is relatively simple, and relevant parts can be found in the description of the method embodiment.

[0159] Thirdly, based on the same inventive concept, embodiments of this application provide a storage medium storing machine-executable instructions, which, when executed by a processor, implement the control method for the rear air conditioning panel timer as proposed in the first aspect of this application.

[0160] It should be noted that the specific implementation of the storage medium in this application embodiment refers to the specific implementation of the control method of the rear air conditioning panel timer proposed in the first aspect of the above-mentioned application embodiment, and will not be repeated here.

[0161] Fourthly, based on the same inventive concept, referring to Figure 4 This application provides a vehicle 400, including a processor 401 and a memory 402; the memory 402 stores machine-executable instructions that can be executed by the processor 401, and the processor 401 is used to execute the machine-executable instructions to implement the control method of the rear air conditioning panel timer as proposed in the first aspect of this application.

[0162] It should be noted that the specific implementation of the vehicle 400 in this application embodiment refers to the specific implementation of the control method of the rear air conditioning panel timer proposed in the first aspect of the above application embodiment, and will not be repeated here.

[0163] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0164] Those skilled in the art will understand that embodiments of this application can be provided as methods, apparatus, or computer program products. Therefore, embodiments of this application can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of this application can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0165] This application describes embodiments with reference to flowchart illustrations and / or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0166] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing terminal device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0167] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal equipment, causing a series of operational steps to be performed on the computer or other programmable terminal equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable terminal equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0168] Although preferred embodiments of the present application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present application.

[0169] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0170] The control method, device, medium, and vehicle for a rear air conditioning panel timer provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A control method for a rear air conditioning panel timer, characterized in that, The method includes: Determine the target indoor temperature preferred by the target users in the back row; Based on the target indoor temperature, the current rear indoor temperature, and the target user's current body surface temperature, the predicted number of adjustments for the target user is determined; wherein, the predicted number of adjustments refers to the predicted cumulative number of times the target user presses the temperature adjustment button in the rear air conditioning panel; Based on the predicted number of adjustments, the target duration of the target timer is determined; wherein, the target timer is configured to start timing when the temperature adjustment button is first pressed, and to restart timing if the timing duration has not reached the target duration and the temperature adjustment button is pressed again, so that the remote information processing control unit, when the timing duration reaches the target duration, controls the air conditioning panel to display the target air conditioning temperature based on the actual cumulative number of times the temperature adjustment button is pressed and the unit temperature adjustment; Based on the target indoor temperature, the current rear indoor temperature, and the target user's current body surface temperature, the predicted adjustment number for the target user is determined, including: Based on the current vehicle interior temperature, the current air conditioning temperature, the target user's current body surface temperature, and the preset target body surface temperature, determine the current body surface temperature adjustment time required for the target user's body temperature to reach the target body surface temperature from the current body surface temperature. Based on the current body surface temperature adjustment duration, the temperature difference between the target indoor temperature and the current rear indoor temperature, and the air conditioning adjustment habits of the target user, the predicted number of adjustments for the target user is determined; wherein, the air conditioning adjustment habits are used to characterize the correspondence between temperature difference, body surface temperature adjustment duration, and number of adjustments.

2. The method according to claim 1, characterized in that, Determine the target indoor temperature preferred by the target users, including: Obtain the thermal comfort evaluation index value corresponding to the target user; the thermal comfort evaluation index value is used to characterize the target user's perception of thermal and cold comfort; Based on the thermal comfort evaluation index value, the target indoor temperature preferred by the target user is determined.

3. The method according to claim 2, characterized in that, The method further includes: Based on different test environments, the target user's last adjustment of the stable air conditioning temperature behind the rear air conditioning panel determines the target indoor temperature preferred by the target user. Based on the target indoor temperature, determine the thermal comfort evaluation index value corresponding to the target user.

4. The method according to claim 1, characterized in that, The method further includes: Based on different test environments, the historical vehicle interior temperature, historical first air conditioning temperature, historical body surface temperature and target body surface temperature of the target user when getting into the vehicle, the historical body surface temperature adjustment time required for the target user's body temperature to reach the target body surface temperature from the historical body surface temperature; The historical second air conditioning temperature is obtained after the target user adjusts the air conditioning panel; wherein, the historical second air conditioning temperature refers to the air conditioning set temperature obtained after the target user gets into the vehicle and presses the temperature adjustment button in the rear air conditioning panel; Based on the temperature difference between the historical rear interior temperature and the historical second air conditioning temperature when the target user got into the vehicle, the historical body surface temperature adjustment duration, and the number of times the target user pressed the temperature adjustment button within the historical body surface temperature adjustment duration, sample data corresponding to the target user is obtained. Cluster analysis was performed on the sample data to obtain the air conditioning adjustment habits of the target users.

5. The method according to claim 1, characterized in that, The method further includes: When the driver turns on the air conditioning in advance, the driver's preset front air conditioning temperature is obtained, and the driver's driving time is determined. Based on the front air conditioning temperature and the duration of time the driver gets into the vehicle, the front interior temperature when the driver gets in the vehicle is determined. The current rear cabin temperature is determined based on the front cabin temperature and the thermal conduction temperature difference between the front and rear cabins of the vehicle.

6. The method according to claim 5, characterized in that, Based on the front air conditioning temperature and the duration of time the driver gets into the vehicle, the front interior temperature at the time the driver gets in is determined, including: Based on the initial indoor temperature when the driver turns on the air conditioning in advance, the front air conditioning temperature, and the duration of time in the vehicle, determine the amount of heat consumed by the air conditioning system after the duration of time in the vehicle at the front air conditioning temperature. Based on the calorific value and the initial indoor temperature, the front cabin temperature when the driver gets into the vehicle is determined.

7. A control device for a rear air conditioning panel timer, characterized in that, The device includes: The target temperature determination module is used to determine the target indoor temperature preferred by the target users in the back row. The adjustment frequency prediction module is used to determine the predicted adjustment frequency of the target user based on the target indoor temperature, the current rear indoor temperature, and the current body surface temperature of the target user; wherein, the predicted adjustment frequency refers to the predicted cumulative number of times the target user presses the temperature adjustment button in the rear air conditioning panel; A target duration determination module is used to determine the target duration of a target timer based on the predicted number of adjustments. The target timer is configured to start timing when the temperature adjustment button is first pressed, and to restart timing if the target duration has not been reached and the temperature adjustment button is pressed again. This allows the remote information processing control unit to control the air conditioning panel to display the target air conditioning temperature based on the actual cumulative number of times the temperature adjustment button has been pressed and the unit temperature adjustment when the target duration is reached. The adjustment frequency prediction module includes: The body surface temperature adjustment duration determination submodule is used to determine the current body surface temperature adjustment duration required for the target user's body temperature to reach the target body surface temperature based on the current vehicle interior temperature, current air conditioning temperature, the target user's current body surface temperature and the preset target body surface temperature. The prediction submodule is used to determine the predicted number of adjustments for the target user based on the current body surface temperature adjustment duration, the temperature difference between the target indoor temperature and the current rear indoor temperature, and the target user's corresponding air conditioning adjustment habits; among which, air conditioning adjustment habits are used to characterize the correspondence between temperature difference, body surface temperature adjustment duration, and number of adjustments.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the control method for the rear air conditioning panel timer as described in any one of claims 1 to 6.

9. A vehicle, characterized in that, It includes a processor and a memory; the memory stores machine-executable instructions that can be executed by the processor, and the processor executes the machine-executable instructions to implement the control method for the rear air conditioning panel timer as described in any one of claims 1 to 6.

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