Air conditioner performance calibration method, device and equipment, storage medium and vehicle
Through multiple temperature adjustment experiments and polynomial fitting, the mapping relationship between air conditioning energy consumption and comfort was established, which solved the problem of insufficient flexibility in air conditioning performance calibration in the existing technology and achieved more flexible and humane air conditioning system management.
Patent Information
- Application Number
- CN202310886127.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-18
- Publication Date
- 2025-01-21
AI Technical Summary
The existing air conditioner performance calibration methods are poor in flexibility and cannot effectively balance passenger comfort and endurance needs.
By determining the cabin comfort temperature range corresponding to each set temperature under the same ambient temperature, multiple temperature adjustment experiments are conducted to obtain the change information of cabin temperature and air-conditioning energy consumption, and the air-conditioning energy consumption and comfort are obtained through polynomial fitting. mapping relationship.
It improves the flexibility of air conditioning performance calibration, can better meet users' different needs for comfort or energy consumption, and achieves a more humane air conditioning system management strategy.
Smart Images
Figure CN119334666A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of vehicle technology, and in particular to an air-conditioning performance calibration method, device, equipment, storage medium and vehicle. Background Art
[0002] As people's living standards continue to improve, the public's requirements for car riding comfort are getting higher and higher. Among them, the cabin temperature of the vehicle is particularly important for passenger comfort. At the same time, the vehicle's range is also one of the important data that users care about. Therefore, how to achieve longer range at a lower cost while ensuring passenger comfort is the direction that all companies are working towards.
[0003] The air-conditioning endurance performance mainly depends on the air-conditioning energy consumption of the whole vehicle and the thermal management strategy of the whole vehicle. Current manufacturers have made in-depth research in the field of thermal management strategies, achieving comprehensive optimal performance by balancing cabin air-conditioning comfort, battery thermal management, and endurance requirements.
[0004] Currently, all manufacturers have unified methods for comfort calibration and energy consumption calibration of air conditioners, but the two are relatively independent, so that when the ambient temperature is the same as the user-set temperature, the air conditioner power given by the thermal management strategy is generally a fixed value. Therefore, the current air conditioner performance calibration method has poor flexibility. Summary of the invention
[0005] In order to solve the above technical problems, the present disclosure provides an air conditioning performance calibration method, device, equipment, storage medium and vehicle to improve the flexibility of air conditioning performance calibration.
[0006] In a first aspect, an embodiment of the present disclosure provides an air conditioner performance calibration method, comprising:
[0007] Determine the cabin comfort temperature range corresponding to each set temperature under the same ambient temperature;
[0008] A calibration experiment is performed for each set temperature, and the air conditioning system is controlled to perform multiple temperature adjustments at different temperature adjustment powers, and each temperature adjustment is used to change the cabin temperature from the ambient temperature to the comfortable temperature range corresponding to the set temperature;
[0009] Obtain information on changes in cabin temperature over time and air conditioning energy consumption over time during each temperature adjustment process;
[0010] The information on the change of the cabin temperature over time and the information on the change of the air-conditioning energy consumption over time are polynomially fitted with time as the variable to obtain a mapping relationship between the air-conditioning energy consumption and comfort, wherein the information on the change of the cabin temperature over time is used to characterize the change speed of the cabin temperature, and the comfort is related to the change speed of the cabin temperature.
[0011] In some embodiments, the polynomial fitting is performed on the information of changes in the cabin temperature over time and the information of changes in the air conditioning energy consumption over time with time as a variable to obtain a mapping relationship between the air conditioning energy consumption and comfort, including:
[0012] Input the information of the change of the cabin temperature over time and the change of the air conditioning energy consumption over time into the Matlab polynomial fitting tool, and calculate the mapping function of the cabin temperature and the temperature adjustment time, and the mapping function of the air conditioning energy consumption and the temperature adjustment time at each set temperature in each ambient temperature;
[0013] The mapping function between the cabin temperature and the temperature adjustment time at each of the set temperatures in the various ambient temperatures, and the mapping function between the air conditioning energy consumption and the temperature adjustment time are input into the Matlab polynomial fitting tool to calculate the mapping relationship between the air conditioning energy consumption and the comfort.
[0014] In some embodiments, the information of changes in the cabin temperature over time and the information of changes in the air conditioning energy consumption over time are input into a Matlab polynomial fitting tool to calculate a mapping function between the cabin temperature and the temperature adjustment time and a mapping function between the air conditioning energy consumption and the temperature adjustment time at each of the set temperatures in each ambient temperature, including:
[0015] For each set temperature under any ambient temperature, obtain multiple sets of cabin temperature change information over time and multiple sets of air conditioning energy consumption change information over time during multiple temperature adjustment processes corresponding to the set temperature;
[0016] Based on the multiple sets of cabin temperature change information over time, fitting a mapping function between the cabin temperature and the temperature adjustment time at the set temperature;
[0017] Based on the multiple sets of information about changes in air conditioning energy consumption over time, a mapping function between the air conditioning energy consumption and the temperature adjustment time at the set temperature is fitted.
[0018] In some embodiments, fitting a mapping function between the cabin temperature and the temperature adjustment time at the set temperature based on the multiple sets of cabin temperature change information over time includes:
[0019] Based on the multiple sets of cabin temperature change information over time, determine multiple temperature adjustment times required for the cabin temperature to change from the ambient temperature to the comfortable temperature range corresponding to the set temperature, and multiple actual temperatures after the cabin temperature is stabilized, wherein the temperature adjustment times correspond to the actual temperatures one by one;
[0020] The multiple temperature adjustment times and the actual temperature corresponding to each temperature adjustment time are input into a Matlab polynomial fitting tool to calculate a mapping function between the cabin temperature and the temperature adjustment time at the set temperature.
[0021] In some embodiments, the variables in the mapping relationship between air conditioning energy consumption and comfort include at least one or more of the following:
[0022] Temperature adjustment time, air conditioning energy consumption, ambient temperature, set temperature, actual temperature, wherein the actual temperature is within the cabin comfort temperature range corresponding to the set temperature.
[0023] In some embodiments, the method further comprises:
[0024] Obtaining the temperature adjustment time corresponding to the user's thermal management strategy requirements, and calculating the actual temperature and air conditioning energy consumption according to the mapping relationship between air conditioning energy consumption and comfort;
[0025] The corresponding power is applied to the air conditioning system according to the temperature adjustment time and the air conditioning energy consumption, so that the cabin temperature reaches the actual temperature in a manner that satisfies the user's thermal management strategy requirements.
[0026] In a second aspect, an embodiment of the present disclosure provides an air conditioner performance calibration device, comprising:
[0027] A determination module, used to determine the cabin comfortable temperature range corresponding to each set temperature under the same ambient temperature;
[0028] A control module, for performing calibration experiments for each set temperature, controlling the air conditioning system to perform multiple temperature adjustments with different temperature adjustment powers, each temperature adjustment being used to change the cabin temperature from the ambient temperature to the comfortable temperature range corresponding to the set temperature;
[0029] An acquisition module is used to obtain information on changes in cabin temperature over time and air conditioning energy consumption over time during each temperature adjustment process;
[0030] The fitting module is used to perform polynomial fitting on the information of changes in the cabin temperature over time and the information of changes in air-conditioning energy consumption over time with time, so as to obtain a mapping relationship between air-conditioning energy consumption and comfort, wherein the information of changes in the cabin temperature over time is used to characterize the speed of change of the cabin temperature, and the comfort is related to the speed of change of the cabin temperature.
[0031] In a third aspect, an embodiment of the present disclosure provides an electronic device, including:
[0032] Memory;
[0033] Processor; and
[0034] Computer programs;
[0035] The computer program is stored in the memory and is configured to be executed by the processor to implement the method as described in the first aspect.
[0036] In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the method described in the first aspect.
[0037] In a fifth aspect, an embodiment of the present disclosure provides a vehicle, comprising the device, electronic device or computer-readable storage medium as described above.
[0038] The air conditioning performance calibration method, device, equipment, storage medium and vehicle provided by the embodiments of the present disclosure set a comfortable temperature range for each set temperature. As long as the ambient temperature in the cabin is stabilized within the comfortable temperature range, it is considered that the temperature experience requirement corresponding to the set temperature has been met. The mapping relationship between the comfort reflecting the temperature adjustment speed and the air conditioning energy consumption is further calculated based on the temperature change information over time and the air conditioning energy consumption change information over time during the temperature adjustment process. Developers can formulate management strategies for the air conditioning system based on the mapping relationship to meet the different needs of users for comfort or energy consumption. Compared with air conditioning performance calibration based on a fixed target temperature, it is more flexible and in line with the actual usage environment, making the management strategy of the air conditioning system more humane. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0041] Figure 1 A flow chart of the air conditioning performance calibration method provided in the embodiment of the present disclosure;
[0042] Figure 2 A schematic diagram of a mapping relationship between air conditioning energy consumption and comfort provided in an embodiment of the present disclosure;
[0043] Figure 3 A flow chart of an air conditioning performance calibration method provided by another embodiment of the present disclosure;
[0044] Figure 4A schematic diagram of the structure of an air conditioner performance calibration device provided in an embodiment of the present disclosure;
[0045] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION
[0046] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.
[0047] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.
[0048] The present disclosure provides an air conditioner performance calibration method, which is described below in conjunction with a specific embodiment.
[0049] Figure 1 This is a flow chart of the air conditioner performance calibration method provided in the embodiment of the present disclosure. The method can be applied to any device with data processing function, wherein the device can be a car machine, a server, a smart phone, a PDA, a tablet computer, a laptop, an all-in-one machine, an intelligent driving device, etc. It is understandable that the air conditioner performance calibration method provided in the embodiment of the present disclosure can also be applied in other scenarios.
[0050] Below Figure 1 The air conditioning performance calibration method shown in the figure is introduced, and the specific steps of the method are as follows:
[0051] S101. Determine a comfortable temperature range in the cabin corresponding to each set temperature under the same ambient temperature.
[0052] The ambient temperature is the temperature of the environment in which the vehicle is located. Optionally, the ambient temperature may refer to the ambient temperature after loading the boundary heat load conditions, wherein the boundary heat load conditions include but are not limited to: light, wind speed, driving speed, etc.
[0053] The set temperature refers to the cabin temperature expected by the user during the simulation in the air conditioning calibration experiment or the actual use of the air conditioning. Usually, the user only has a rough idea of the expected cabin temperature. For example, even if the user sets the air conditioning temperature to 22°C, it means that the current user's expected comfortable temperature is 22°C. When the cabin temperature reaches 23°C, the user cannot accurately perceive it and still thinks that the current cabin temperature condition is relatively comfortable. Therefore, a certain cabin comfortable temperature range can be set for the set temperature. When the actual cabin temperature is within this comfortable temperature range, it can be considered that the cabin temperature has met the user's usage requirements.
[0054] Specifically, the user's expectation and perception of the cabin temperature value are affected by the ambient temperature. For example, when the ambient temperature is low, the user expects the cabin temperature to be higher than when the ambient temperature is high; or, when it rains or snows, the user expects the cabin temperature to be higher.
[0055] In summary, for each set temperature that the user may set, there should be a comfortable temperature range, so that when the cabin environment reaches any temperature value within the comfortable temperature range, it is considered that the current cabin temperature meets the user's physical requirements for the set temperature.
[0056] S102, performing calibration experiments for each set temperature, controlling the air conditioning system to perform multiple temperature adjustments with different temperature adjustment powers, each temperature adjustment is used to change the cabin temperature from the ambient temperature to within the comfortable temperature range corresponding to the set temperature.
[0057] It is understandable that the temperature adjustment power of the air conditioner affects both the cabin temperature adjustment speed and the air conditioning energy consumption. When the temperature adjustment power of the air conditioner is higher, the cabin temperature adjustment speed is faster and the required temperature adjustment time is shorter. At this time, the cabin temperature can reach a comfortable temperature range faster and the comfort is higher, but at the same time it will increase the energy consumption required by the air conditioning system.
[0058] Calibration experiments are an important basis for thermal management strategies. The data and conclusions obtained from calibration experiments are of great significance for the formulation and improvement of thermal management strategies. The main process of the calibration experiment is as follows: temperature sensors are arranged at various positions in the car (including but not limited to the passenger head position, shoulder position, foot position, armrest position, seat position, console position, etc.), the vehicle is moved to the rotating hub in the environmental chamber, and the whole vehicle is immersed according to different test temperature requirements so that the temperature of the whole vehicle is consistent with the temperature in the environmental chamber. After that, the boundary heat load condition is loaded on the vehicle. After the vehicle temperature stabilizes to the ambient temperature, the vehicle is started, the air conditioner is turned on to the default temperature and gear (for example, 24℃Auto), and the temperature data in the cabin and the power of each thermal management component in the air conditioning system are recorded in real time. After the temperature of each point in the cabin is stable, the temperature of each point is recorded. At the same time, the calibration parameters of the heating / cooling power of the air conditioning system are changed to stabilize the temperature in the car to a comfortable temperature range.
[0059] The boundary heat load conditions include, but are not limited to: lighting conditions, wind conditions, driving speed, number of people in the vehicle, etc.
[0060] Multiple calibration experiments are carried out for each set temperature. The temperature adjustment power of the air-conditioning system is different during each calibration experiment, but ultimately the cabin temperature must reach and stabilize within a comfortable temperature range.
[0061] S103, obtaining information on changes in cabin temperature over time and air conditioning energy consumption over time during each temperature adjustment process.
[0062] Since the temperature regulation power of the air conditioning system is different during each calibration experiment, the change of cabin temperature over time may be different during each calibration experiment, and the change of air conditioning energy consumption over time is also different.
[0063] In some embodiments, the change information of the cabin temperature over time and the change information of the air conditioning energy consumption over time during each temperature adjustment process may be recorded in the form of a table as shown below:
[0064] Table 1 Information on changes in cabin temperature and air conditioning energy consumption over time
[0065]
[0066] It can be understood that the settings of the ambient temperatures and the comfortable temperature ranges corresponding to the ambient temperatures in the above table are only examples and are not limitations of the present embodiment.
[0067] S104. Perform polynomial fitting on the information on the change of the cabin temperature over time and the information on the change of the air-conditioning energy consumption over time with time, taking time as a variable, to obtain a mapping relationship between the air-conditioning energy consumption and comfort, wherein the information on the change of the cabin temperature over time is used to characterize the change speed of the cabin temperature, and the comfort is related to the change speed of the cabin temperature.
[0068] As mentioned above, since the temperature regulation power of the air-conditioning system is different during each calibration experiment, the temperature change information over time and the air-conditioning energy consumption change information over time corresponding to each calibration experiment are different. Correspondingly, the parameters of each calibration test will also have different comfort experiences for users in the actual environment.
[0069] Specifically, the changing speed of the cabin temperature has an impact on comfort, and the changing speed of the cabin temperature can be obtained based on the cabin temperature changing information over time. Therefore, it can be considered that the comfort can be calibrated based on the cabin temperature changing information over time, and the air conditioning energy consumption can be calibrated based on the air conditioning energy consumption changing information over time. The temperature changing information over time and the air conditioning energy consumption changing information over time are both in the same time dimension. Therefore, based on the cabin temperature changing information over time and the air conditioning energy consumption changing information over time, data fitting with time as the variable can obtain the mapping relationship between air conditioning energy consumption and comfort, that is, obtain the air conditioning calibration result, and complete the calibration of the air conditioning performance.
[0070] Figure 2 A schematic diagram of the mapping relationship between air conditioning energy consumption and comfort provided by an embodiment of the present disclosure. Figure 2 As shown, since the corresponding cabin comfort temperature range is set for each set temperature, the final stabilized temperature and the corresponding air-conditioning energy consumption are expanded from a single fixed value corresponding to the set temperature to a certain bandwidth, which facilitates the flexible adjustment of the management strategy of the air-conditioning system based on the calibration results.
[0071] The disclosed embodiment determines the comfortable temperature range in the cabin corresponding to each set temperature under the same ambient temperature; performs calibration experiments for each set temperature, controls the air-conditioning system to perform multiple temperature adjustments with different temperature adjustment powers, and each temperature adjustment is used to change the cabin temperature from the ambient temperature to the comfortable temperature range corresponding to the set temperature; obtains the change information of the cabin temperature over time and the change information of the air-conditioning energy consumption over time during each temperature adjustment process; based on the change information of the cabin temperature over time and the change information of the air-conditioning energy consumption over time, obtains the mapping relationship between the air-conditioning energy consumption and the comfort through polynomial fitting, wherein the comfort and the change information of the cabin temperature are The mapping relationship between the comfort of the temperature adjustment speed and the air conditioning energy consumption is calculated based on the temperature change information over time and the air conditioning energy consumption change information during the temperature adjustment process. Developers can formulate management strategies for the air conditioning system based on the mapping relationship to meet the different needs of users for comfort or energy consumption. Compared with air conditioning performance calibration based on a fixed target temperature, it is more flexible and in line with the actual usage environment, making the management strategy of the air conditioning system more humane.
[0072] On the basis of the above embodiment, the information on the change of the cabin temperature over time and the information on the change of the air-conditioning energy consumption over time are subjected to polynomial fitting with time as the variable to obtain a mapping relationship between the air-conditioning energy consumption and comfort, including: inputting the information on the change of the cabin temperature over time and the information on the change of the air-conditioning energy consumption over time into a Matlab polynomial fitting tool, and calculating a mapping function between the cabin temperature and the temperature adjustment time and a mapping function between the air-conditioning energy consumption and the temperature adjustment time at each of the set temperatures in each of the ambient temperatures; inputting a mapping function between the cabin temperature and the temperature adjustment time and a mapping function between the air-conditioning energy consumption and the temperature adjustment time at each of the set temperatures in each of the ambient temperatures into a Matlab polynomial fitting tool to calculate a mapping relationship between the air-conditioning energy consumption and comfort.
[0073] Specifically, the information on the change of the cabin temperature over time and the change of the air-conditioning energy consumption over time are input into a Matlab polynomial fitting tool to calculate a mapping function between the cabin temperature and the temperature adjustment time and a mapping function between the air-conditioning energy consumption and the temperature adjustment time at each set temperature in each ambient temperature, including: for each set temperature at any ambient temperature, obtaining multiple sets of cabin temperature change information over time and multiple sets of air-conditioning energy consumption change information over time for multiple temperature adjustment processes corresponding to the set temperature; based on the multiple sets of cabin temperature change information over time, fitting a mapping function between the cabin temperature and the temperature adjustment time at the set temperature; based on the multiple sets of air-conditioning energy consumption change information over time, fitting a mapping function between the air-conditioning energy consumption and the temperature adjustment time at the set temperature.
[0074] The above method is introduced below in conjunction with specific embodiments.
[0075] Figure 3 This is a flow chart of an air conditioning performance calibration method provided by another embodiment of the present disclosure. Figure 3 As shown, the method includes the following steps:
[0076] S301. Determine the comfortable temperature range in the cabin corresponding to each set temperature under the same ambient temperature.
[0077] S302, performing calibration experiments for each set temperature, controlling the air conditioning system to perform multiple temperature adjustments with different temperature adjustment powers, each temperature adjustment is used to change the cabin temperature from the ambient temperature to within the comfortable temperature range corresponding to the set temperature.
[0078] S303, obtaining information on changes in cabin temperature over time and air conditioning energy consumption over time during each temperature adjustment process.
[0079] Specifically, the implementation process and principle of S301-S303 are consistent with S101-S103, and will not be repeated here. S304, for each set temperature under any ambient temperature, obtain multiple sets of cabin temperature change information over time and multiple sets of air conditioning energy consumption change information over time for multiple temperature adjustment processes corresponding to the set temperature.
[0080] For the same set temperature under the same ambient temperature, the air conditioning system needs to be controlled to perform calibration experiments multiple times with different temperature adjustment powers, and each calibration experiment will obtain a set of cabin temperature change information over time and a set of air conditioning energy consumption change information over time. Therefore, for the same set temperature, multiple sets of cabin temperature change information over time and multiple sets of air conditioning energy consumption change information over time can be obtained.
[0081] Exemplarily, calibration experiments are performed on M set temperatures under the same ambient temperature, and N different calibration experiments are performed on each set temperature, that is, for the same ambient temperature, M×N groups of temperature change information over time and air-conditioning energy consumption change information over time can be obtained; further, if a total of P ambient temperatures are set, a total of M×N×P groups of temperature change information over time and air-conditioning energy consumption change information over time can be obtained.
[0082] S305: Based on the multiple sets of information about changes in cabin temperature over time, a mapping function between the cabin temperature at the set temperature and the temperature adjustment time is fitted.
[0083] Specifically, based on the multiple groups of cabin temperature change information over time, a plurality of temperature adjustment times required for the cabin temperature to change from the ambient temperature to the comfortable temperature range corresponding to the set temperature, and a plurality of actual temperatures after the cabin temperature is stabilized are determined, and the temperature adjustment times correspond to the actual temperatures one-to-one; the multiple temperature adjustment times and the actual temperatures corresponding to each temperature adjustment time are input into a Matlab polynomial fitting tool, and a mapping function between the cabin temperature and the temperature adjustment time at the set temperature is calculated.
[0084] The information of temperature change over time can reflect the temperature in the cabin at each moment in the current calibration experiment. Based on the information of temperature change over time, on the one hand, the actual temperature after the final cabin temperature stabilizes can be determined, and on the other hand, the temperature adjustment time required for the cabin temperature to change from the ambient temperature to the actual temperature can be obtained. For the same set temperature, an actual temperature can be obtained after each calibration experiment. After multiple calibration experiments are performed with different temperature adjustment powers, multiple actual temperatures can be obtained, and each actual temperature can be different, but each actual temperature belongs to the comfortable temperature range corresponding to the set temperature. Accordingly, when multiple calibration experiments are performed with different temperature adjustment powers, the temperature adjustment time required for the cabin temperature to change from the ambient temperature to different actual temperatures may also be different, but the temperature adjustment time in each calibration experiment corresponds to the actual temperature one by one.
[0085] Therefore, for the same set temperature under the same ambient temperature, multiple sets of cabin temperature change information over time can be obtained, and after fitting these data, the function of the actual temperature on the temperature adjustment time can be obtained, that is, the mapping function of the cabin temperature and the temperature adjustment time. Optionally, it can be calculated by polynomial fitting tools such as Matlab, which will not be repeated here.
[0086] S306: Based on the multiple sets of information about changes in air conditioning energy consumption over time, a mapping function between the air conditioning energy consumption at the set temperature and the temperature adjustment time is fitted.
[0087] Similarly, the information on the change of air conditioning energy consumption over time can reflect the energy consumption of the air conditioning system from the start of the experiment to the data recording time in the calibration experiment. For the same set temperature under the same ambient temperature, multiple sets of air conditioning energy consumption change information over time can be obtained. After fitting these data, the function of air conditioning energy consumption with respect to temperature adjustment time can be obtained, that is, the mapping function of air conditioning energy consumption and temperature adjustment time. Optionally, it can be calculated by polynomial fitting tools such as Matlab, which will not be repeated here.
[0088] In some embodiments, the mapping function between temperature and temperature adjustment time and the mapping function between air conditioning energy consumption and temperature adjustment time may be recorded in a table as shown below:
[0089] Table 2 Mapping function calibration table
[0090]
[0091] As shown above, each table records a mapping function of temperature and temperature adjustment time associated with ambient temperature and set temperature, and a mapping function of air conditioning energy consumption and temperature adjustment time, where T is the actual temperature, E is the air conditioning energy consumption, and parameters such as A11 and B11 are corresponding function coefficients.
[0092] Specifically, according to the mapping function fitted in the above steps and the difference calculation method, a mapping function corresponding to each ambient temperature and each set temperature can be obtained to complete the table.
[0093] S307, inputting the mapping function between the cabin temperature and the temperature adjustment time at each of the set temperatures in the various ambient temperatures, and the mapping function between the air conditioning energy consumption and the temperature adjustment time into the Matlab polynomial fitting tool, and calculating the mapping relationship between the air conditioning energy consumption and the comfort.
[0094] Specifically, the variables in the mapping relationship between air conditioning energy consumption and comfort include at least one or more of the following: temperature adjustment time, air conditioning energy consumption, ambient temperature, set temperature, actual temperature, wherein the actual temperature is within the cabin comfort temperature range corresponding to the set temperature.
[0095] The time dimension of the mapping function of each temperature adjustment time and the mapping function of air conditioning energy consumption and temperature adjustment time are the same, that is, the t parameter in the mapping function of each temperature adjustment time and the mapping function of air conditioning energy consumption and temperature adjustment time is the same. Therefore, the mapping function of the cabin temperature and the temperature adjustment time at each set temperature in each ambient temperature and the mapping function of air conditioning energy consumption and temperature adjustment time are fitted to obtain the mapping relationship between air conditioning energy consumption and comfort at different ambient temperatures, which is expressed as T, E = F (t, x, y). Where T is the actual temperature, E is the air conditioning energy consumption, t is the temperature adjustment time, x is the ambient temperature, and y is the set temperature.
[0096] The embodiment of the present disclosure obtains sufficient information on changes in cabin temperature over time and changes in air-conditioning energy consumption over time based on multiple calibration experiments for different ambient temperatures and different set temperatures, and further obtains a mapping relationship between air-conditioning energy consumption and comfort after fitting, so that the air-conditioning performance calibration has sufficient data support, thereby improving the accuracy and rationality of the air-conditioning performance calibration method.
[0097] On the basis of the above embodiments, the air conditioning performance calibration method provided by the embodiments of the present disclosure also includes: obtaining the temperature adjustment time corresponding to the user's thermal management strategy requirements, and calculating the actual temperature and air conditioning energy consumption based on the mapping relationship between the air conditioning energy consumption and comfort; applying corresponding power to the air conditioning system based on the temperature adjustment time and air conditioning energy consumption, so that the cabin temperature reaches the actual temperature in a manner that meets the user's thermal management strategy requirements.
[0098] The user's thermal management strategy requirements can be understood as the user's requirements for comfort and energy consumption. Referring to the above embodiment, according to the mapping relationship between air conditioning energy consumption and comfort T, E = F (t, x, y), x is the ambient temperature, y is the set temperature, both of which are specified conditions, and as long as the temperature adjustment time t is determined, the actual temperature T after temperature adjustment and the required air conditioning energy consumption E can be obtained. Therefore, based on the user's thermal management strategy requirements, the corresponding temperature adjustment time is obtained, for example, this step can be implemented through a deep learning model or a neural network model.
[0099] Specifically, if the user has a higher demand for comfort but a lower demand for energy saving, then the air-conditioning energy consumption E can be appropriately sacrificed to obtain a shorter temperature adjustment time t, while ensuring that the actual temperature is within the comfortable temperature range corresponding to the set temperature; if the user has a lower demand for comfort but a higher demand for energy saving, then the air-conditioning energy consumption E can be appropriately sacrificed to obtain a lower temperature adjustment time t, while ensuring that the actual temperature is within the comfortable temperature range corresponding to the set temperature.
[0100] Furthermore, the corresponding decomposed power is applied to the air-conditioning system components according to the determined air-conditioning energy consumption E, so that the temperature inside the entire vehicle cabin gradually reaches the corresponding actual temperature T.
[0101] The disclosed embodiment flexibly manages the air-conditioning system based on the adjusted mapping relationship between air-conditioning energy consumption and comfort, so as to balance and meet the user's personalized needs for vehicle endurance and cabin comfort under high and low temperatures, thereby effectively improving the user experience.
[0102] Figure 4 The structure diagram of the air conditioner performance calibration device provided in the embodiment of the present disclosure is shown in FIG. The air conditioner performance calibration device may be the device described in the above embodiment, or the air conditioner performance calibration device may be a component or assembly in the device. The air conditioner performance calibration device provided in the embodiment of the present disclosure may execute the processing flow provided in the air conditioner performance calibration method embodiment, such as Figure 4 As shown, the air conditioning performance calibration device 40 includes: a determination module 41, a control module 42, an acquisition module 43, and a fitting module 44; wherein the determination module 41 is used to determine the cabin comfortable temperature range corresponding to each set temperature under the same ambient temperature; the control module 42 is used to perform calibration experiments for each set temperature, and control the air conditioning system to perform multiple temperature adjustments with different temperature adjustment powers, and each temperature adjustment is used to change the cabin temperature from the ambient temperature to the comfortable temperature range corresponding to the set temperature; the acquisition module 43 is used to obtain the cabin temperature change information over time and the air conditioning energy consumption change information over time during each temperature adjustment process; the fitting module 44 is used to perform polynomial fitting on the cabin temperature change information over time and the air conditioning energy consumption change information over time with time as the variable, and obtain the mapping relationship between air conditioning energy consumption and comfort, wherein the cabin temperature change information over time is used to characterize the cabin temperature change speed, and the comfort is related to the cabin temperature change speed.
[0103] Optionally, the fitting module 44 includes a first fitting unit 441 and a second fitting unit 442; wherein the first fitting unit 441 is used to input the information on the change of the cabin temperature over time and the change of the air-conditioning energy consumption over time into a Matlab polynomial fitting tool, and calculate the mapping function of the cabin temperature and the temperature adjustment time, and the mapping function of the air-conditioning energy consumption and the temperature adjustment time at each of the set temperatures in each ambient temperature; the second fitting unit 442 is used to input the mapping function of the cabin temperature and the temperature adjustment time, and the mapping function of the air-conditioning energy consumption and the temperature adjustment time at each of the set temperatures in each ambient temperature into a Matlab polynomial fitting tool, and calculate the mapping relationship between air-conditioning energy consumption and comfort.
[0104] Optionally, the first fitting unit 441 is specifically used to obtain, for each set temperature at any ambient temperature, multiple sets of cabin temperature change information over time and multiple sets of air-conditioning energy consumption change information over time for multiple temperature adjustment processes corresponding to the set temperature; based on the multiple sets of cabin temperature change information over time, fit a mapping function between the cabin temperature and the temperature adjustment time at the set temperature; based on the multiple sets of air-conditioning energy consumption change information over time, fit a mapping function between the air-conditioning energy consumption and the temperature adjustment time at the set temperature.
[0105] Optionally, the first fitting unit 441 is specifically used to determine, based on the multiple sets of cabin temperature change information over time, a plurality of temperature adjustment times required for the cabin temperature to change from the ambient temperature to the comfortable temperature range corresponding to the set temperature, and a plurality of actual temperatures after the cabin temperature is stabilized, the temperature adjustment times corresponding to the actual temperatures one-to-one; the multiple temperature adjustment times and the actual temperatures corresponding to each temperature adjustment time are input into a Matlab polynomial fitting tool to calculate a mapping function between the cabin temperature and the temperature adjustment time at the set temperature.
[0106] Optionally, the variables in the mapping relationship between air conditioning energy consumption and comfort include at least one or more of the following: temperature adjustment time, air conditioning energy consumption, ambient temperature, set temperature, actual temperature, wherein the actual temperature is within the cabin comfort temperature range corresponding to the set temperature.
[0107] Optionally, the air conditioning performance calibration device 40 also includes a calculation module 45 and a power application module 46; wherein the calculation module 45 is used to obtain the temperature adjustment time corresponding to the user's thermal management strategy requirements, and calculate the actual temperature and air conditioning energy consumption according to the mapping relationship between the air conditioning energy consumption and comfort; the power application module 46 is used to apply corresponding power to the air conditioning system according to the temperature adjustment time and the air conditioning energy consumption, so that the cabin temperature reaches the actual temperature in a manner that meets the user's thermal management strategy requirements.
[0108] Figure 4 The air conditioning performance calibration device of the illustrated embodiment can be used to execute the technical solution of the above-mentioned method embodiment. Its implementation principle and technical effect are similar and will not be described in detail here.
[0109] In addition, an embodiment of the present disclosure also provides a vehicle, which includes the air conditioning performance calibration device as described in the above embodiment.
[0110] Figure 5 Schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. The electronic device may be the device described in the above embodiment. The electronic device provided in an embodiment of the present disclosure may execute the processing flow provided in an embodiment of the air conditioner performance calibration method, such as Figure 5As shown, the electronic device 50 includes: a memory 51, a processor 52, a computer program and a communication interface 53; wherein the computer program is stored in the memory 51 and is configured so that the processor 52 executes the air conditioning performance calibration method as described above.
[0111] In addition, an embodiment of the present disclosure further provides a computer-readable storage medium on which a computer program is stored. The computer program is executed by a processor to implement the air conditioning performance calibration method described in the above embodiment.
[0112] In addition, an embodiment of the present disclosure further provides a computer program product, which includes a computer program or instructions, and when the computer program or instructions are executed by a processor, the air conditioning performance calibration method as described above is implemented.
[0113] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages or a combination thereof, including, but not limited to, object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).
[0114] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0115] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0116] The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for calibrating air conditioner performance, characterized in that: The method comprises: Determine the cabin comfort temperature range corresponding to each set temperature under the same ambient temperature; A calibration experiment is performed for each set temperature, and the air conditioning system is controlled to perform multiple temperature adjustments at different temperature adjustment powers, and each temperature adjustment is used to change the cabin temperature from the ambient temperature to the comfortable temperature range corresponding to the set temperature; Obtain information on changes in cabin temperature over time and air conditioning energy consumption over time during each temperature adjustment process; The information on the change of the cabin temperature over time and the information on the change of the air-conditioning energy consumption over time are polynomially fitted with time as the variable to obtain a mapping relationship between the air-conditioning energy consumption and comfort, wherein the information on the change of the cabin temperature over time is used to characterize the change speed of the cabin temperature, and the comfort is related to the change speed of the cabin temperature.
2. The method according to claim 1, characterized in that The polynomial fitting is performed on the information of the change of the cabin temperature over time and the information of the change of the air conditioning energy consumption over time with time as a variable to obtain a mapping relationship between the air conditioning energy consumption and comfort, including: Input the information of the change of the cabin temperature over time and the change of the air conditioning energy consumption over time into the Matlab polynomial fitting tool, and calculate the mapping function of the cabin temperature and the temperature adjustment time, and the mapping function of the air conditioning energy consumption and the temperature adjustment time at each set temperature in each ambient temperature; The mapping function between the cabin temperature and the temperature adjustment time at each of the set temperatures in the various ambient temperatures, and the mapping function between the air conditioning energy consumption and the temperature adjustment time are input into the Matlab polynomial fitting tool to calculate the mapping relationship between the air conditioning energy consumption and the comfort.
3. The method according to claim 2, characterized in that The information on the change of the cabin temperature over time and the change of the air conditioning energy consumption over time are input into the Matlab polynomial fitting tool to calculate the mapping function of the cabin temperature and the temperature adjustment time and the mapping function of the air conditioning energy consumption and the temperature adjustment time at each set temperature in each ambient temperature, including: For each set temperature under any ambient temperature, obtain multiple sets of cabin temperature change information over time and multiple sets of air conditioning energy consumption change information over time during multiple temperature adjustment processes corresponding to the set temperature; Based on the multiple sets of cabin temperature change information over time, fitting a mapping function between the cabin temperature and the temperature adjustment time at the set temperature; Based on the multiple sets of information about changes in air conditioning energy consumption over time, a mapping function between the air conditioning energy consumption and the temperature adjustment time at the set temperature is fitted.
4. The method according to claim 3, characterized in that The step of fitting a mapping function between the cabin temperature and the temperature adjustment time at the set temperature based on the multiple sets of cabin temperature change information over time includes: Based on the multiple sets of cabin temperature change information over time, determine multiple temperature adjustment times required for the cabin temperature to change from the ambient temperature to the comfortable temperature range corresponding to the set temperature, and multiple actual temperatures after the cabin temperature is stabilized, wherein the temperature adjustment times correspond to the actual temperatures one by one; The multiple temperature adjustment times and the actual temperature corresponding to each temperature adjustment time are input into a Matlab polynomial fitting tool to calculate a mapping function between the cabin temperature and the temperature adjustment time at the set temperature.
5. The method according to claim 1, characterized in that The variables in the mapping relationship between air conditioning energy consumption and comfort include at least one or more of the following: Temperature adjustment time, air conditioning energy consumption, ambient temperature, set temperature, actual temperature, wherein the actual temperature is within the cabin comfort temperature range corresponding to the set temperature.
6. The method according to claim 5, characterized in that The method further comprises: Obtaining the temperature adjustment time corresponding to the user's thermal management strategy requirements, and calculating the actual temperature and air conditioning energy consumption according to the mapping relationship between air conditioning energy consumption and comfort; The corresponding power is applied to the air conditioning system according to the temperature adjustment time and the air conditioning energy consumption, so that the cabin temperature reaches the actual temperature in a manner that satisfies the user's thermal management strategy requirements.
7. An air conditioning performance calibration device, characterized in that: The device comprises: A determination module, used to determine the cabin comfortable temperature range corresponding to each set temperature under the same ambient temperature; A control module, for performing calibration experiments for each set temperature, controlling the air conditioning system to perform multiple temperature adjustments with different temperature adjustment powers, each temperature adjustment being used to change the cabin temperature from the ambient temperature to the comfortable temperature range corresponding to the set temperature; An acquisition module is used to obtain information on changes in cabin temperature over time and air conditioning energy consumption over time during each temperature adjustment process; The fitting module is used to perform polynomial fitting on the information of changes in the cabin temperature over time and the information of changes in air-conditioning energy consumption over time with time, so as to obtain a mapping relationship between air-conditioning energy consumption and comfort, wherein the information of changes in the cabin temperature over time is used to characterize the speed of change of the cabin temperature, and the comfort is related to the speed of change of the cabin temperature.
8. An electronic device, characterized in that: include: Memory; processor; as well as Computer programs; The computer program is stored in the memory and is configured to be executed by the processor to implement the method according to any one of claims 1 to 6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.
10. A vehicle comprising: The air conditioning performance calibration device according to claim 7; or the electronic device as claimed in claim 8; Or, the computer readable storage medium of claim 9.