Vehicle air conditioning control method and device, computer device and storage medium

Abstract

The application relates to a vehicle air conditioner control method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a vehicle parameter; obtaining a control parameter value in a refrigeration mode according to the vehicle parameter; the control parameter value in the refrigeration mode is negatively correlated with an air outlet temperature, negatively correlated with an outdoor temperature and positively correlated with a target temperature; determining a stay duration of each air outlet angle according to a time distribution rule based on the control parameter value; in the time distribution rule, a time distribution probability of a wind sweeping duration in a positive blowing range is negatively correlated with the control parameter value; and controlling air outlet of the air conditioner at each air outlet angle in the refrigeration mode based on the stay duration. The method can improve the problem that air conditioner control in the prior art cannot quickly meet the user perception demand.

Description

Technical Field

[0001] This application relates to the field of vehicle temperature control technology, and in particular to a vehicle air conditioning control method, device, computer equipment, and storage medium. Background Technology

[0002] An automotive air conditioning system is a device that cools, heats, ventilates, and purifies the air inside the vehicle. It provides a comfortable riding environment for passengers, reduces driver fatigue, and improves driving safety.

[0003] Currently, most vehicle air conditioning controls are based on environmental perception and cannot quickly and directly meet human needs. For example, the air vent swing control is mostly based on the purpose of uniform airflow in the environment and performs a single uniform speed circulation control. Although this can lower the overall ambient temperature, it cannot provide users with a swing service that can quickly meet their human perception needs. Summary of the Invention

[0004] Based on this, a vehicle air conditioning control method, device, computer equipment, and storage medium are provided to improve the problem that the air conditioning control in the prior art cannot quickly meet the user's perceived needs.

[0005] On the one hand, a vehicle air conditioning control method is provided, the method comprising:

[0006] Obtain vehicle parameters, including air outlet temperature, outside temperature, and user-set target temperature;

[0007] Based on the vehicle parameters, control parameter values ​​for cooling are obtained. These control parameter values ​​are negatively correlated with the outlet air temperature, negatively correlated with the outside temperature, and positively correlated with the target temperature.

[0008] Based on the control parameter value, the dwell time of each air outlet angle is determined according to the time distribution rule. In the time distribution rule, the time distribution probability of the sweeping time in the forward blowing range is negatively correlated with the control parameter value. The sweeping time in the forward blowing range is the sum of the dwell times of the air outlet angles in the forward blowing range. The time distribution probability is the ratio of the sweeping time to the total sweeping time of a single sweep.

[0009] The air conditioner controls the airflow at each air outlet angle during cooling based on the dwell time.

[0010] In one embodiment, after determining the dwell time for each air outlet angle according to the time distribution rule, the method further includes:

[0011] The time distribution probability of the air conditioner's air outlet angle being within the forward blowing range is obtained based on the dwell time.

[0012] The target power of the compressor during refrigeration is determined based on the time distribution probability, and the compressor is controlled according to the target power, wherein the target power is positively correlated with the time distribution probability.

[0013] In one embodiment, determining the dwell time for each air outlet angle according to the time distribution rule includes:

[0014] The dwell time for each air outlet angle is determined according to a normal distribution, wherein the normal distribution is based on the center angle of the forward blowing range as the expectation and the control parameter value as the standard deviation.

[0015] In one embodiment, the time distribution probability is determined according to the following mathematical expression:

[0016]

[0017] Where ρ is the time distribution probability, t is the dwell time when the air outlet angle is x, [a,b] is the forward blowing range, and [A,B] is the sweeping range;

[0018] The duration of stay is determined according to the following mathematical expression:

[0019]

[0020] Wherein, δ is the control parameter value, μ is the center angle of the positive blowing range, and c is the control constant.

[0021] In one embodiment, controlling the airflow at each air outlet angle of the air conditioner during cooling based on the dwell time includes:

[0022] The air conditioner outlet is controlled to stay at discrete air outlet angles based on the dwell time, and the discrete air outlet angles are determined by dividing the sweep range according to fixed angle intervals.

[0023] In one embodiment, determining the target power of the compressor based on the time distribution probability includes:

[0024] Determine the compressor's base power based on the target outlet air temperature;

[0025] The compensation power of the compressor is determined based on the time distribution probability, wherein the compensation power is positively correlated with the time distribution probability;

[0026] The target power is determined based on the sum of the base power and the compensation power.

[0027] In one aspect, a vehicle air conditioning control device is provided, the device comprising:

[0028] The vehicle parameter acquisition module is used to acquire vehicle parameters, including air outlet temperature, outside temperature, and user-set target temperature.

[0029] The control parameter calculation module is used to obtain the control parameter values ​​during cooling based on the vehicle parameters. The control parameter values ​​during cooling are negatively correlated with the outlet air temperature, negatively correlated with the outside temperature, and positively correlated with the target temperature.

[0030] The time distribution calculation module is used to determine the dwell time of each air outlet angle according to the control parameter value and the time distribution rule. In the time distribution rule, the time distribution probability of the sweeping time in the forward blowing range is negatively correlated with the control parameter value. The sweeping time in the forward blowing range is the sum of the dwell times of the air outlet angles in the forward blowing range. The time distribution probability is the ratio of the sweeping time to the total sweeping time of a single sweep.

[0031] The air-sweeping control execution module is used to control the airflow at each air outlet angle of the air conditioner during cooling based on the dwell time.

[0032] In one embodiment, the apparatus further includes:

[0033] The probability distribution calculation module is used to obtain the time distribution probability of the air conditioner's air outlet angle within the forward blowing range based on the dwell time.

[0034] A power control execution mode is used to determine the target power of the compressor during refrigeration based on the time distribution probability, so as to control the compressor according to the target power, wherein the target power is positively correlated with the time distribution probability.

[0035] In another aspect, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method.

[0036] A computer-readable storage medium is also provided, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the method.

[0037] The aforementioned vehicle air conditioning control method, device, computer equipment, and storage medium first provide a control method for air sweeping, including acquiring vehicle parameters such as outlet air temperature, outside temperature, and user-set target temperature. Based on the vehicle parameters, the control parameter values ​​of the air conditioning are determined, and further, the dwell time of the outlet air angle is determined according to the control parameters. Since the control parameter values ​​are negatively correlated with the outlet air temperature, negatively correlated with the outside temperature, and positively correlated with the target temperature, and the sweeping time within the forward blowing range is negatively correlated with the control parameter values, during cooling, the higher the outlet air temperature, the higher the outside temperature, and the lower the target temperature, the smaller the control parameters, thereby obtaining a larger sum of dwell times within the forward blowing range. The human body can be exposed to forward blowing for a longer time, and the temperature of the human body and its surroundings can be lowered more quickly, meeting the needs of human perception. Attached Figure Description

[0038] Figure 1 This is a flowchart illustrating a vehicle air conditioning control method in one embodiment;

[0039] Figure 2 This is a schematic diagram of the mathematical model of the time distribution rule in one embodiment;

[0040] Figure 3 This is a schematic diagram of the mathematical model of the time distribution rule in another embodiment;

[0041] Figure 4 This is a schematic diagram of the mathematical model of the time distribution rule in yet another embodiment;

[0042] Figure 5 This is a flowchart illustrating a vehicle air conditioning control method in another embodiment;

[0043] Figure 6 This is a flowchart illustrating the target power calculation steps in one embodiment;

[0044] Figure 7 This is a structural block diagram of a vehicle air conditioning control device in one embodiment;

[0045] Figure 8 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0047] An automotive air conditioning system is a device that cools, heats, ventilates, and purifies the air inside a vehicle, providing passengers with a comfortable riding environment.

[0048] Most current automotive air conditioning controls are based on environmental sensing, which means meeting the overall temperature control needs of the environment and lowering or raising the overall temperature. For example, taking the air sweeping control during cooling as an example, based on the goal of uniform air volume distribution, most vehicles use uniform speed circulation air sweeping control, ignoring the user's own needs.

[0049] This application provides an air conditioning control method that can quickly meet the needs of human perception and provide comfort during air conditioning use.

[0050] In one embodiment, air conditioning cooling control is used as an example for illustration, such as... Figure 1 As shown, the method includes the following steps:

[0051] Step 101: Obtain vehicle parameters, including air outlet temperature T, outside temperature T_amb, and user-set target temperature T_set.

[0052] The air outlet temperature T is the temperature at the air outlet of the car's air conditioning system. The air outlet temperature is determined by factors such as ambient temperature and air volume. In this embodiment, it can be obtained by a temperature sensor located at the air outlet. For car air conditioning, since the space is relatively small, the air outlet is closer to the human body, so the temperature at the air outlet can more directly reflect the temperature perceived by the user.

[0053] The outside temperature T_amb directly affects the inside temperature of the vehicle, which in turn affects human perception and the cooling effect of the air conditioner. The target temperature T_set set by the user can reflect the user's expectations.

[0054] Step 102: Obtain the control parameter value δ for cooling based on the vehicle parameters.

[0055] For example, in some implementations, a mapping relationship between control parameters and vehicle parameters is established by establishing a mathematical model of control parameters δ=(T,T_amb,T_set). In the mapping relationship, the control parameter value δ is negatively correlated with the outlet air temperature T, negatively correlated with the outside temperature T_amb, and positively correlated with the target temperature T_set. That is, the higher the outlet air temperature T, the higher the outside temperature T_amb, and the lower the target temperature T_set, the smaller the control parameter value δ.

[0056] Step 103: Determine the dwell time of the air conditioner air outlet at each outlet angle according to the time distribution rules based on the control parameter values.

[0057] The air outlet of the car air conditioner has a certain swing range. In this embodiment, the horizontal adjustment angle range of the air outlet is [-90°, 90°]. When the air conditioner enters the automatic swing mode, the horizontal angle of the air outlet changes cyclically according to the set process.

[0058] In this embodiment, the air outlet sweeps according to discrete air outlet angles. When the air conditioner enters automatic sweeping mode, the air outlet angle is controlled to cycle through -90°, -80°, -70°, ..., 70°, 80°, 90°, 80°, 70°, ... -70°, -80°, -90°, with each target air outlet angle maintained for a duration of t. In other embodiments, different fixed angle intervals can be used to determine more or fewer dwell angles.

[0059] Furthermore, for automotive air conditioning, the air outlet angle that blows directly onto the human body within the sweep range is relatively fixed, generally the direction directly facing the seat. For example, in this embodiment, the air outlet angle of 0° is the angle that blows directly onto the center of the human body, and the air outlet angle range [-30, 30] is the direct blowing range.

[0060] In this embodiment, the air outlet angles within the direct blowing range and the air outlet angles outside the direct blowing range have different dwell times. Furthermore, the time distribution probability of the sweeping duration within the direct blowing range is negatively correlated with the control parameter value. The sweeping duration within the direct blowing range is the sum of the dwell times of the air outlet angles within the direct blowing range, and the time distribution probability is the ratio of the sweeping duration to the total duration of a single sweeping. This allows the lower the control parameter value during sweeping, the longer the time spent blowing directly onto the human body.

[0061] For example, the dwell time within the positive blowing range and the dwell time outside the positive blowing range can be determined as follows: Figure 2-4 The example shown establishes a mathematical model to make the sweeping time more concentrated or dispersed when the control parameter value δ changes.

[0062] For example Figure 2 In the case of air outlets within the direct blowing range having the same first residence time, and air outlets outside the direct blowing range having the same second residence time, and when the air outlet temperature T is higher, the outside temperature T_amb is higher, and the target temperature T_set is lower, the control parameter value δ is smaller, which increases the first residence time and decreases the second residence time, making the sweeping time more concentrated;

[0063] For example Figure 3 In the middle, with the center angle of the positive blowing range at 0° as the center line, the air outlet angles on both sides can be defined according to different linear relationships to define the residence time, and the concentration of the sweeping time can be adjusted by adjusting the intercept and slope of the linear relationship through δ.

[0064] In another implementation, the dwell time of the air outlet angle x is determined according to a normal distribution, that is, the dwell time t follows a normal distribution with the center angle as the expected value and δ as the variance, such as... Figure 4 As shown.

[0065] Specifically, the dwell time t of the air outlet angle x is determined according to the following mathematical expression:

[0066]

[0067] Where c is the control constant, which can be determined through calibration, and μ is the desired center angle.

[0068] According to the characteristics of the normal distribution, the larger the variance δ, the more dispersed the distribution values; the smaller the variance, the more concentrated the distribution values.

[0069] It should be noted that, generally, in actual implementation, the total duration of a single sweep can be limited to a fixed value, i.e. [A,B] represents the sweep range, which in this embodiment is [-90°, 90°].

[0070] The time distribution probability ρ can be determined as follows:

[0071]

[0072] Wherein, [a,b] is the positive blowing range, which in this embodiment is [-30°, 30°].

[0073] It is worth mentioning that t ab With t AB None of these include the angle switching time during air sweeping. In this embodiment, the air outlet can complete the angle switching in a fixed time.

[0074] Step 104: Based on the dwell time, control the airflow of the air conditioner at each air outlet angle during cooling.

[0075] Using the above control method, the vehicle body domain controller identifies the passenger's air conditioning cooling needs and controls the air conditioning to enter automatic swing mode. During the swing process, the control parameter value is determined according to the vehicle parameters. Based on the control parameter value, the time distribution probability of the swing is adjusted. When the outlet air temperature T is higher, the outside temperature T_amb is higher, and the target temperature T_set is lower, the control parameter value δ is smaller, thereby increasing the proportion of the swing time in the direct blowing range, effectively reducing the temperature of the human body and the surrounding environment, and quickly meeting the human body's perceived needs.

[0076] In another implementation, when the air conditioning system is in heating mode, a different mathematical model can be established based on the dwell time and vehicle parameters than when it is in cooling mode, in order to begin meeting the user's needs.

[0077] For example, during heating, a mathematical model is established that is positively correlated with the outlet air temperature, positively correlated with the outside temperature, and negatively correlated with the target temperature. Under the condition that the outlet air temperature is lower, the outside temperature is lower, and the target temperature is higher, smaller control parameter values ​​are obtained, so that the sweeping time is more concentrated in the forward blowing range.

[0078] In another embodiment, the control not only extends to the duration of the air sweeping dwell time, but also includes the power control process of the compressor during refrigeration.

[0079] For example, such as Figure 5 As shown, the power control process includes:

[0080] Step 105: Obtain the time distribution probability of the air conditioner's air outlet angle within the forward blowing range based on the dwell time, i.e., calculate ρ.

[0081] Step 106: Determine the target power of the compressor during refrigeration based on the time distribution probability ρ, so as to control the compressor according to the target power, wherein the target power is positively correlated with the time distribution probability.

[0082] Therefore, the higher the outlet air temperature, the higher the outside temperature, and the lower the target temperature, the smaller the δ value and the larger the ρ value. As the sweeping time of the positive blowing range increases, the power of the compressor also increases, thereby further accelerating the reduction of the temperature of the human body and the surrounding environment.

[0083] In one implementation, such as Figure 6 As shown, determining the target power of the compressor includes the following steps:

[0084] Step 1061: Determine the basic power P_0 of the compressor based on the target air outlet temperature of the air conditioning system.

[0085] The determination of the target air outlet temperature and the basic power of the compressor for the air conditioning system can refer to existing methods and will not be elaborated here.

[0086] Step 1062: Determine the compensation power of the compressor based on the time distribution probability.

[0087] For example, first establish the relationship between the time distribution probability ρ and the supplementary parameter k, k = f(ρ). The compensation parameter k is positively correlated with the time distribution probability ρ. Then the compensation power P_1 = k * P_0.

[0088] Step 1063: Based on the sum of the base power and the compensation power, determine the target power, i.e., the target power P = P_0 + P_1.

[0089] If k is defined as negative, the target power will be lower than the base power. However, since the air sweeping is concentrated in the area directly blowing towards the human body, even if the power is reduced, the human body can still have a good cooling experience, thus reducing the energy consumption of the air conditioner.

[0090] It should be understood that, although Figure 1 , Figure 5 , Figure 6 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 1 , Figure 5 , Figure 6 At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0091] In one embodiment, such as Figure 7 As shown, a vehicle air conditioning control device is provided, including: a vehicle parameter acquisition module 201, a control parameter calculation module 202, a time distribution calculation module 203, and a swing control execution module 204, wherein:

[0092] The vehicle parameter acquisition module 201 is used to acquire vehicle parameters, including air outlet temperature, outside temperature and target temperature set by the user.

[0093] The control parameter calculation module 202 is used to obtain the control parameter values ​​during cooling based on the vehicle parameters. The control parameter values ​​during cooling are negatively correlated with the outlet air temperature, negatively correlated with the outside temperature, and positively correlated with the target temperature.

[0094] The time distribution calculation module 203 is used to determine the dwell time of each air outlet angle according to the control parameter value and the time distribution rule. In the time distribution rule, the time distribution probability of the sweeping time in the forward blowing range is negatively correlated with the control parameter value. The sweeping time in the forward blowing range is the sum of the dwell times of the air outlet angles in the forward blowing range. The time distribution probability is the ratio of the sweeping time to the total sweeping time of a single sweep.

[0095] The air-sweeping control execution module 204 is used to control the air outlet angle of the air conditioner during cooling based on the dwell time.

[0096] The aforementioned vehicle air conditioning control device first provides a control method for air sweeping, including acquiring vehicle parameters such as the outlet air temperature, the outside temperature, and the target temperature set by the user. Based on the vehicle parameters, it determines the control parameter values ​​of the air conditioning and further determines the dwell time of the outlet air angle according to the control parameters. Since the control parameter values ​​are negatively correlated with the outlet air temperature, negatively correlated with the outside temperature, and positively correlated with the target temperature, and the sweeping time within the forward blowing range is negatively correlated with the control parameter values, during cooling, the higher the outlet air temperature, the higher the outside temperature, and the lower the target temperature, the smaller the control parameters, thereby obtaining a larger sum of dwell time within the forward blowing range. The human body can be exposed to forward blowing for a longer time, and the temperature of the human body and the surrounding environment can be reduced more quickly, meeting the needs of human perception.

[0097] In one implementation, the dwell time for each air outlet angle is determined according to a normal distribution, i.e., the dwell time is determined according to the following mathematical expression:

[0098]

[0099] Wherein, δ is the control parameter value, μ is the center angle of the positive blowing range, and c is the control constant.

[0100] In a normal distribution, the probability of the time distribution is... As the control parameter value δ decreases, it increases, meaning that the proportion of time the body is directly exposed to the airflow increases, and the body can be cooled down quickly.

[0101] In one embodiment, the air sweep control execution module 204 controls the air conditioner outlet to stay at discrete air outlet angles, wherein the discrete air outlet angles are determined by dividing the air sweep range according to fixed angle intervals.

[0102] Furthermore, the device also includes:

[0103] The probability distribution calculation module 205 is used to obtain the time distribution probability of the air conditioner's air outlet angle within the forward blowing range based on the dwell time.

[0104] A power control execution mode is used to determine the target power of the compressor during refrigeration based on the time distribution probability, so as to control the compressor according to the target power, wherein the target power is positively correlated with the time distribution probability.

[0105] Based on the air-sweeping control, the device also includes control of the compressor power during cooling, and the control is based on the time distribution probability. The higher the time distribution probability, the greater the compressor power will be, further improving the cooling speed.

[0106] When determining the target power, the power control execution module 206 first determines the base power of the compressor based on the target outlet air temperature; then determines the compensation power of the compressor based on the time distribution probability, wherein the compensation power is positively correlated with the time distribution probability; finally, the target power is determined based on the sum of the base power and the compensation power.

[0107] Furthermore, the compensation power is limited to a negative number, thereby achieving the goal of reducing energy consumption.

[0108] Specific limitations regarding the vehicle air conditioning control device can be found in the limitations of the vehicle air conditioning control method described above, and will not be repeated here. Each module in the aforementioned vehicle air conditioning control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0109] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 8 As shown, the computer device includes a processor, memory, network interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a vehicle air conditioning control method. The display screen can be a liquid crystal display (LCD) or an e-ink display. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad mounted on the computer device casing, or an external keyboard, touchpad, or mouse.

[0110] Those skilled in the art will understand that Figure 8 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0111] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:

[0112] Obtain vehicle parameters, including air outlet temperature, outside temperature, and user-set target temperature;

[0113] Based on the vehicle parameters, control parameter values ​​for cooling are obtained. These control parameter values ​​are negatively correlated with the outlet air temperature, negatively correlated with the outside temperature, and positively correlated with the target temperature.

[0114] Based on the control parameter value, the dwell time of each air outlet angle is determined according to the time distribution rule. In the time distribution rule, the time distribution probability of the sweeping time in the forward blowing range is negatively correlated with the control parameter value. The sweeping time in the forward blowing range is the sum of the dwell times of the air outlet angles in the forward blowing range. The time distribution probability is the ratio of the sweeping time to the total sweeping time of a single sweep.

[0115] The air conditioner controls the airflow at each air outlet angle during cooling based on the dwell time.

[0116] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0117] The time distribution probability of the air conditioner's air outlet angle being within the forward blowing range is obtained based on the dwell time.

[0118] The target power of the compressor during refrigeration is determined based on the time distribution probability, and the compressor is controlled according to the target power, wherein the target power is positively correlated with the time distribution probability.

[0119] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0120] The probability of the time distribution is determined according to the following mathematical expression:

[0121]

[0122] Where ρ is the time distribution probability, t is the dwell time when the air outlet angle is x, [a,b] is the forward blowing range, and [A,B] is the sweeping range;

[0123] The duration of stay is determined according to the following mathematical expression:

[0124]

[0125] Wherein, δ is the control parameter value, μ is the center angle of the positive blowing range, and c is the control constant.

[0126] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0127] Determine the compressor's base power based on the target outlet air temperature;

[0128] The compensation power of the compressor is determined based on the time distribution probability, wherein the compensation power is positively correlated with the time distribution probability;

[0129] The target power is determined based on the sum of the base power and the compensation power.

[0130] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0131] Obtain vehicle parameters, including air outlet temperature, outside temperature, and user-set target temperature;

[0132] Based on the vehicle parameters, control parameter values ​​for cooling are obtained. These control parameter values ​​are negatively correlated with the outlet air temperature, negatively correlated with the outside temperature, and positively correlated with the target temperature.

[0133] Based on the control parameter value, the dwell time of each air outlet angle is determined according to the time distribution rule. In the time distribution rule, the time distribution probability of the sweeping time in the forward blowing range is negatively correlated with the control parameter value. The sweeping time in the forward blowing range is the sum of the dwell times of the air outlet angles in the forward blowing range. The time distribution probability is the ratio of the sweeping time to the total sweeping time of a single sweep.

[0134] The air conditioner controls the airflow at each air outlet angle during cooling based on the dwell time. In one embodiment, the dwell time at each air outlet angle is determined according to a normal distribution, wherein the normal distribution has the center angle of the forward blowing range as the expectation and the control parameter value as the standard deviation.

[0135] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0136] The time distribution probability of the air conditioner's air outlet angle being within the forward blowing range is obtained based on the dwell time.

[0137] The target power of the compressor during refrigeration is determined based on the time distribution probability, and the compressor is controlled according to the target power, wherein the target power is positively correlated with the time distribution probability.

[0138] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0139] Determine the compressor's base power based on the target outlet air temperature;

[0140] The compensation power of the compressor is determined based on the time distribution probability, wherein the compensation power is positively correlated with the time distribution probability;

[0141] The target power is determined based on the sum of the base power and the compensation power.

[0142] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0143] The air conditioner outlet is controlled to stay at discrete air outlet angles based on the dwell time, and the discrete air outlet angles are determined by dividing the sweep range according to fixed angle intervals.

[0144] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0145] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0146] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A vehicle air conditioning control method, characterized in that, include: Obtain vehicle parameters, including air outlet temperature, outside temperature, and user-set target temperature; Based on the vehicle parameters, control parameter values ​​for cooling are obtained. These control parameter values ​​are negatively correlated with the outlet air temperature, negatively correlated with the outside temperature, and positively correlated with the target temperature. Based on the control parameter value, the dwell time of each air outlet angle is determined according to the time distribution rule. In the time distribution rule, the time distribution probability of the sweeping time in the forward blowing range is negatively correlated with the control parameter value. The sweeping time in the forward blowing range is the sum of the dwell times of the air outlet angles in the forward blowing range. The time distribution probability is the ratio of the sweeping time to the total sweeping time of a single sweep. The air conditioner controls the airflow at each air outlet angle during cooling based on the dwell time.

2. The vehicle air conditioning control method according to claim 1, characterized in that, After determining the dwell time for each air outlet angle according to the time distribution rule, the method further includes: The time distribution probability of the air conditioner's air outlet angle being within the forward blowing range is obtained based on the dwell time. The target power of the compressor during refrigeration is determined based on the time distribution probability, and the compressor is controlled according to the target power, wherein the target power is positively correlated with the time distribution probability.

3. The vehicle air conditioning control method according to claim 1, characterized in that, The determination of the dwell time for each air outlet angle according to the time distribution rule includes: The dwell time for each air outlet angle is determined according to a normal distribution, wherein the normal distribution is based on the center angle of the forward blowing range as the expectation and the control parameter value as the standard deviation.

4. The vehicle air conditioning control method according to claim 1, characterized in that, The probability of the time distribution is determined according to the following mathematical expression: Where ρ is the time distribution probability, t is the dwell time when the air outlet angle is x, [a,b] is the forward blowing range, and [A,B] is the sweeping range; The duration of stay is determined according to the following mathematical expression: Wherein, δ is the control parameter value, μ is the center angle of the positive blowing range, and c is the control constant.

5. The vehicle air conditioning control method according to claim 1, characterized in that, The method of controlling the airflow at each air outlet angle during cooling based on the dwell time includes: The air conditioner outlet is controlled to stay at discrete air outlet angles based on the dwell time, and the discrete air outlet angles are determined by dividing the sweep range according to fixed angle intervals.

6. The vehicle air conditioning control method according to claim 2, characterized in that, Determining the target power of the compressor based on the time distribution probability includes: Determine the compressor's base power based on the target outlet air temperature; The compensation power of the compressor is determined based on the time distribution probability, wherein the compensation power is positively correlated with the time distribution probability; The target power is determined based on the sum of the base power and the compensation power.

7. A vehicle air conditioning control device, characterized in that, The device includes: The vehicle parameter acquisition module is used to acquire vehicle parameters, including air outlet temperature, outside temperature, and user-set target temperature. The control parameter calculation module is used to obtain the control parameter values ​​during cooling based on the vehicle parameters. The control parameter values ​​during cooling are negatively correlated with the outlet air temperature, negatively correlated with the outside temperature, and positively correlated with the target temperature. The time distribution calculation module is used to determine the dwell time of each air outlet angle according to the control parameter value and the time distribution rule. In the time distribution rule, the time distribution probability of the sweeping time in the forward blowing range is negatively correlated with the control parameter value. The sweeping time in the forward blowing range is the sum of the dwell times of the air outlet angles in the forward blowing range. The time distribution probability is the ratio of the sweeping time to the total sweeping time of a single sweep. The air-sweeping control execution module is used to control the airflow at each air outlet angle of the air conditioner during cooling based on the dwell time.

8. The vehicle air conditioning control device according to claim 7, characterized in that, The device further includes: The probability distribution calculation module is used to obtain the time distribution probability of the air conditioner's air outlet angle within the forward blowing range based on the dwell time. A power control execution mode is used to determine the target power of the compressor during refrigeration based on the time distribution probability, so as to control the compressor according to the target power, wherein the target power is positively correlated with the time distribution probability.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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