Refrigerator adaptive defrosting control method and device, motor, refrigerator and medium

By collecting ambient temperature and power consumption data under stable operating conditions after the refrigerator defrost operation is completed as benchmark data, the power consumption is dynamically adjusted, solving the problem that fixed parameters cannot adapt to different environments, and achieving accuracy and energy-saving effect in defrost operation.

CN122149148BActive Publication Date: 2026-07-07MIDEA BIOMEDICAL CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
MIDEA BIOMEDICAL CO LTD
Filing Date
2026-05-09
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing refrigerator defrosting control methods rely on fixed parameters, which cannot adapt to different usage environments, leading to misjudgments or missed judgments, increasing energy consumption or reducing cooling efficiency, and making it difficult to achieve a balance between precise defrosting and high energy efficiency.

Method used

By collecting ambient temperature and power consumption data under stable operating conditions after defrosting, the power consumption is dynamically corrected, and the corrected power consumption is used to determine whether defrosting is needed. This ensures that data collection and judgment are performed under the same stable conditions, eliminating environmental interference.

Benefits of technology

It improves the accuracy of defrosting operations, reduces energy waste caused by misjudgment, avoids the decline in cooling efficiency caused by untimely defrosting, and achieves a balance between high efficiency and energy saving and precise defrosting in different environments.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a refrigerator adaptive defrosting control method and device, a motor, a refrigerator and a medium. After a defrosting operation of the refrigerator ends and the refrigerator is in a preset stable running state, a current environment temperature and a current power consumption are collected, the current environment temperature is taken as a reference environment temperature of the refrigerator in the stable running state, and the current power consumption is taken as a reference power consumption of the refrigerator in the stable running state. Real-time environment temperature and real-time power consumption of the refrigerator in the stable running state are obtained. The reference power consumption is corrected according to the reference environment temperature and the real-time environment temperature, and a corrected power consumption is obtained. When the real-time power consumption is greater than the corrected power consumption, the refrigerator is controlled to perform a defrosting operation. The application embodiment can improve the accuracy of performing the defrosting operation and achieve a balance between efficient energy saving and accurate defrosting in different use environments.
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Description

Technical Field

[0001] This application relates to the field of refrigerator technology, and in particular to a refrigerator adaptive defrosting control method, device, motor, refrigerator and medium. Background Technology

[0002] Currently, refrigerator defrosting control generally employs timed start-up or temperature sensor threshold triggering. These defrosting criteria, such as time duration or temperature threshold, are typically set as fixed parameters before the refrigerator leaves the factory. However, the actual operating environments of refrigerators vary greatly, with different ambient temperatures and heat dissipation conditions. Fixed parameters cannot adapt to different operating conditions, and related technologies lack filtering for such external interference, easily leading to misjudgments or missed judgments. This can result in excessive defrosting, increasing energy consumption, or delayed defrosting, reducing cooling efficiency, making it difficult for refrigerators to achieve a balance between precise defrosting and high energy efficiency. Summary of the Invention

[0003] The purpose of this application is to at least solve one of the technical problems existing in the prior art, and to provide a refrigerator adaptive defrosting control method, device, motor, refrigerator and medium, which can improve the accuracy of defrosting operation and achieve a balance between high efficiency and precise defrosting under different usage environments.

[0004] In a first aspect, embodiments of this application provide a refrigerator adaptive defrosting control method, the refrigerator adaptive defrosting control method comprising:

[0005] After the refrigerator finishes defrosting and is in a preset stable operating state, the current ambient temperature and current power consumption are collected. The current ambient temperature is used as the reference ambient temperature of the refrigerator in the stable operating state, and the current power consumption is used as the reference power consumption of the refrigerator in the stable operating state.

[0006] The real-time ambient temperature and real-time power consumption of the refrigerator under the stable operating state are obtained;

[0007] The reference power consumption is corrected based on the reference ambient temperature and the real-time ambient temperature to obtain the corrected power consumption;

[0008] When the real-time power consumption is greater than the corrected power consumption, the refrigerator is controlled to perform a defrosting operation.

[0009] In the refrigerator adaptive defrosting control method proposed in this application embodiment, the refrigerator includes an internal temperature sensor for collecting the real-time internal temperature of the refrigerator, a door detection unit for detecting the opening action of the refrigerator door, and a parameter setting unit for setting the target temperature range of the refrigerator. The stable operating state indicates that the refrigerator meets the following operating conditions: the real-time internal temperature is within the target temperature range, and / or the door detection unit detects no door opening action, and / or the parameter setting unit maintains the current target temperature range.

[0010] In the refrigerator adaptive defrosting control method proposed in this application embodiment, the step of acquiring and storing the reference ambient temperature and reference power consumption under the preset stable operating state after the refrigerator defrost operation is completed and the refrigerator is in a preset stable operating state includes:

[0011] After the defrosting operation of the refrigerator is completed, and the refrigerator is in a preset stable operating state within a first preset time period, the current ambient temperature and current power consumption of the refrigerator within the first preset time period are obtained.

[0012] The current ambient temperature is used as the reference ambient temperature for the refrigerator under stable operating conditions, and the current power consumption is used as the reference power consumption for the refrigerator under stable operating conditions.

[0013] In the refrigerator adaptive defrosting control method proposed in this application embodiment, the step of using the current ambient temperature as the reference ambient temperature of the refrigerator in the stable operating state includes:

[0014] The average ambient temperature of the refrigerator within the first preset time period is calculated to obtain the average ambient temperature.

[0015] The average ambient temperature is used as the reference ambient temperature for the refrigerator under stable operating conditions.

[0016] The refrigerator adaptive defrosting control method proposed in this application embodiment further includes:

[0017] When the target temperature range set by the parameter setting unit changes, the reference ambient temperature and the reference power consumption are reset.

[0018] In the refrigerator adaptive defrosting control method proposed in this application embodiment, the step of correcting the reference power consumption based on the reference ambient temperature and the real-time ambient temperature to obtain the corrected power consumption includes:

[0019] An ambient temperature correction factor is determined based on the difference between the reference ambient temperature and the real-time ambient temperature.

[0020] The baseline power consumption is corrected based on the ambient temperature correction factor to obtain the corrected power consumption.

[0021] In the refrigerator adaptive defrosting control method proposed in this application embodiment, the step of correcting the baseline power consumption based on the ambient temperature correction coefficient to obtain the corrected power consumption includes:

[0022] Obtain the preset power consumption increment coefficient for frosting;

[0023] The baseline power consumption is corrected based on the ambient temperature correction coefficient and the frost power consumption increment coefficient to obtain the corrected power consumption.

[0024] In the refrigerator adaptive defrosting control method proposed in this application embodiment, the step of controlling the refrigerator to perform defrosting operation when the real-time power consumption is greater than the corrected power consumption includes:

[0025] When the real-time power consumption is greater than the corrected power consumption, and the power error between the real-time power consumption and the corrected power consumption is greater than or equal to a preset error threshold, the refrigerator is controlled to perform a defrosting operation.

[0026] The refrigerator adaptive defrosting control method proposed in this application embodiment further includes:

[0027] When the real-time power consumption is less than or equal to the corrected power consumption, or the power error between the real-time power consumption and the corrected power consumption is less than a preset error threshold, the real-time ambient temperature and real-time power consumption of the refrigerator under the stable operating state are obtained.

[0028] The refrigerator adaptive defrosting control method proposed in this application embodiment further includes:

[0029] When the refrigerator is powered on for the first time, control the refrigerator to perform a defrosting operation.

[0030] Secondly, embodiments of this application provide a controller, including a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement the refrigerator adaptive defrosting control method as described in the first aspect embodiment above.

[0031] Thirdly, embodiments of this application also provide a refrigerator, including the controller described in the second aspect of the embodiments above.

[0032] Fourthly, embodiments of this application also provide a computer-readable storage medium storing computer-executable instructions for causing a controller to perform the refrigerator adaptive defrosting control method as described in the first aspect embodiment.

[0033] Fifthly, embodiments of this application also provide a computer program product, including a computer program or computer instructions, the computer program or computer instructions being stored in a computer-readable storage medium, a processor of an electronic device reading the computer program or computer instructions from the computer-readable storage medium, and the processor executing the computer program or computer instructions to cause the electronic device to perform the refrigerator adaptive defrosting control method as described in the first aspect embodiment.

[0034] The refrigerator adaptive defrosting control method, device, motor, refrigerator, and medium provided in the embodiments of this application have at least the following beneficial effects: After the defrosting operation, in a stable operating state, the current ambient temperature and current power consumption are acquired as the reference data for judging frost formation. This allows for automatic adaptation to different installation environments without relying on fixed factory parameters, avoiding inaccuracies caused by environmental differences. Furthermore, data collection and judgment are only performed in a stable operating state, effectively filtering out interference caused by daily use, effectively improving the reliability of frost formation judgment, and reducing misjudgments. Next, the reference power consumption is corrected by the difference between the real-time ambient temperature and the reference ambient temperature, eliminating normal power consumption fluctuations caused by installation environment and ambient temperature fluctuations. Then, the corrected power consumption is used for frost judgment, which can more accurately determine whether the refrigerator is frosted, improve the accuracy of the defrosting operation, reduce energy waste caused by misjudgments, and avoid the decrease in cooling efficiency caused by untimely defrosting. This achieves a balance between high efficiency and precise defrosting in different usage environments.

[0035] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the description, claims and drawings. Attached Figure Description

[0036] The accompanying drawings are used to provide a further understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0037] The present application will be further described below with reference to the accompanying drawings and embodiments;

[0038] Figure 1 This is a hardware architecture diagram of a refrigerator adaptive defrosting control system provided in one embodiment of this application;

[0039] Figure 2 This is a flowchart of a refrigerator adaptive defrosting control method provided in one embodiment of this application;

[0040] Figure 3 This is a flowchart illustrating the baseline data setting provided in one embodiment of this application;

[0041] Figure 4 This is a flowchart of the baseline data setting provided in another embodiment of this application;

[0042] Figure 5 This is a flowchart of baseline data reset provided in another embodiment of this application;

[0043] Figure 6 This is a flowchart of the corrected power consumption calculation provided in one embodiment of this application;

[0044] Figure 7 This is a flowchart of the corrected power consumption calculation provided in another embodiment of this application;

[0045] Figure 8 This is a flowchart of defrosting determination provided in one embodiment of this application;

[0046] Figure 9 This is a flowchart illustrating the preparation of the data acquisition environment according to one embodiment of this application;

[0047] Figure 10 This is a flowchart of a refrigerator adaptive defrosting control method provided in one embodiment of this application;

[0048] Figure 11 This is a schematic diagram of the structure of a controller for performing an adaptive defrosting control method for a refrigerator, provided in one embodiment of this application. Detailed Implementation

[0049] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0050] In the description of this application, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., indicate the orientation or positional relationship according to the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0051] In the description of this application, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0052] In the description of this application, unless otherwise expressly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0053] In traditional refrigerator defrosting control technology, the defrosting operation is triggered by fixed parameters set at the factory, including timing cycles or temperature thresholds. These parameters remain unchanged during operation. However, due to differences in ambient temperature and heat dissipation conditions in actual use environments, these fixed parameters cannot dynamically adapt to changes in operating conditions. This causes environmental interference in the defrosting judgment process, leading to misjudgments or missed defrosting operations. Consequently, this results in increased energy consumption and reduced cooling efficiency, or delayed defrosting that reduces cooling efficiency, making it difficult for the refrigerator to achieve a balance between precise defrosting and high energy efficiency.

[0054] Therefore, this application proposes an adaptive defrosting control method, device, motor, refrigerator, and medium for refrigerators, which can improve the accuracy of defrosting operations, reduce energy waste caused by misjudgments, and avoid the decrease in refrigeration efficiency caused by untimely defrosting, thus achieving a balance between high efficiency and precise defrosting under different usage environments.

[0055] The various embodiments of the refrigerator adaptive defrosting control method of this application will be further described below with reference to the accompanying drawings.

[0056] like Figure 1 As shown, Figure 1This is a hardware architecture diagram of a refrigerator adaptive defrosting control system provided in one embodiment of this application. The refrigerator adaptive defrosting control system includes multiple components, specifically including a main control module 101, a power consumption detection unit 102, an ambient temperature sensor 103, a defrosting execution module 107, and a data storage unit 108. The main control module 101 can receive data from various sensors, execute defrosting control logic, including determining whether the refrigerator is in a stable operating state that can be used for learning, managing and setting reference parameters, correcting the reference parameters, performing defrosting judgment, and then issuing a defrosting command to the defrosting execution module 107. The system's data acquisition is achieved by multiple sensors. For example, the power consumption detection unit 102 can monitor and collect the operating power consumption or power data of the refrigerator's compressor in real time and transmit the data to the main control module 101; the ambient temperature sensor 103 can be arranged on the external casing of the refrigerator to collect the ambient temperature at the installation location of the refrigerator and transmit the data to the main control module 101.

[0057] The system's data acquisition can also be achieved through the internal temperature sensor 104, the door detection unit 105, and the parameter setting unit 106. The internal temperature sensor 104 can be arranged inside the refrigerator to monitor the internal temperature in real time, thereby determining whether the internal temperature of the refrigerator has reached the required level. The door detection unit 105 can detect the opening and closing status of the refrigerator door to determine whether there is an opening action. The parameter setting unit 106 can provide a user interface for receiving and setting user commands, such as the set temperature inside the refrigerator and the operating mode. Changes in parameters will trigger the system's reset mechanism.

[0058] The defrosting execution module 107 can receive defrosting instructions from the main control module 101 and is responsible for performing specific defrosting operations. For example, it can control the operation of the refrigerator's defrosting heating device, such as the electric heating tube, and stop heating after the conditions are met. The data storage unit 108 can store the reference data generated by the system's self-learning, including the reference power consumption and the reference ambient temperature. When it receives the reset instruction from the main control module 101, it can clear the corresponding stored data to cooperate with the system's reset mechanism.

[0059] These components are connected by electrical connections and communication protocols to form a system. After the refrigerator defrosts, the system enters a standby state. When the main control module 101 determines, through the internal temperature sensor 104, the door detection unit, and the parameter setting unit 106, that the refrigerator meets the stable operating state of stable internal temperature, no door opening, and unchanged set parameters, it starts the baseline self-learning process. At this time, the data collected by the power consumption detection unit 102 and the ambient temperature sensor 103 are used as baseline data and stored in the data storage unit 108. In subsequent monitoring, the system only performs environmental correction and threshold comparison using real-time data and stored baseline data under the same stable operating state. When it is determined that the power consumption exceeds the standard, it is considered that frost has formed, and the main control module 101 sends a command to control the defrosting execution module 107 to work. When the parameter setting unit 106 sends a signal that the set parameters have been changed, the main control module 101 will clear the data in the data storage unit 108 and re-perform data learning and control.

[0060] Based on the hardware architecture of the refrigerator adaptive defrosting control system described in the above embodiments, various embodiments of the refrigerator adaptive defrosting control method of this application are presented below.

[0061] like Figure 2 As shown, Figure 2 This is a flowchart of a refrigerator adaptive defrosting control method according to an embodiment of this application. The refrigerator adaptive defrosting control method includes, but is not limited to, steps S210 to S240.

[0062] Step 210: After the refrigerator defrosts and is in a preset stable operating state, collect the current ambient temperature and current power consumption. Use the current ambient temperature as the reference ambient temperature for the refrigerator in a stable operating state, and use the current power consumption as the reference power consumption for the refrigerator in a stable operating state.

[0063] Step 220: Obtain the real-time ambient temperature and real-time power consumption of the refrigerator under stable operating conditions;

[0064] Step 230: Correct the baseline power consumption based on the baseline ambient temperature and the real-time ambient temperature to obtain the corrected power consumption;

[0065] Step 240: When the real-time power consumption is greater than the corrected power consumption, control the refrigerator to perform a defrosting operation.

[0066] It's understandable that a stable operating state refers to a specific working condition of the refrigerator. A stable operating state indicates that the refrigerator's operating variables remain constant or within acceptable fluctuation ranges, thus providing a reproducible benchmark state that excludes non-frost-related interference for the collection, learning, and comparison of power consumption and ambient temperature. The purpose of a stable operating state is to create a fair and consistent precondition for learning benchmark power consumption and comparing real-time power consumption. It is not an absolutely static condition, but rather a state where the system operates in a condition that eliminates interference factors that would cause drastic, non-frost-related fluctuations in the compressor's base power consumption. In this way, subsequent power consumption comparisons can effectively distinguish between correct operating condition fluctuations and abnormal energy consumption increases caused by frost. The benchmark ambient temperature refers to the ambient temperature data collected after the refrigerator has completed defrosting and is in a stable operating state. This data is used as a benchmark for subsequent judgment of changes in the refrigerator's operating environment. The benchmark power consumption refers to the power consumption data collected after the refrigerator has completed defrosting and is in a stable operating state. This data reflects the normal energy consumption level of the refrigerator in frost-free or low-frost conditions and is used as a benchmark for subsequent judgment of whether defrosting is necessary.

[0067] It is worth noting that the stable operating state during baseline data setting is after the defrosting operation is completed. This ensures that the system learns baseline data from a frost-free or low-frost baseline state, avoiding the collection of incorrect baseline data when frost has formed. In the stable operating state after the defrosting operation, two sets of key data are actively measured: the baseline ambient temperature reflecting the installation environment and the corresponding baseline power consumption under that environment. This eliminates the need to rely on factory-preset fixed parameters. Through on-site learning, the baseline power consumption and baseline ambient temperature are obtained, reflecting the environment in which the refrigerator is located. This ensures that the baseline for defrosting judgment is consistent with the actual usage environment, solving the problem of baseline inaccuracy caused by environmental differences in traditional methods.

[0068] After setting the baseline data for defrosting judgment, the refrigerator's operating status can be monitored in real time to determine whether defrosting is required. Specifically, the refrigerator must be in the same stable operating state when acquiring the data to be judged. That is, the refrigerator needs to be in a stable operating state to trigger real-time data acquisition, ensuring that the real-time data and the baseline data are collected under the same operating conditions, and avoiding comparison errors caused by different operating conditions.

[0069] After collecting real-time data for defrosting assessment, the baseline power consumption is corrected using both the baseline and real-time ambient temperatures. Since changes in ambient temperature affect the refrigerator's heat dissipation efficiency and cooling load, thus impacting the baseline power consumption, it's not possible to directly compare the real-time power consumption with the original baseline. To eliminate the interference of ambient temperature changes on defrosting assessment, the baseline power consumption is dynamically corrected by comparing the difference between the baseline and real-time ambient temperatures, thus eliminating environmental errors and improving the accuracy of defrosting assessment. For example, a linear correction model can be preset, where the baseline power consumption increases appropriately when the real-time ambient temperature is higher than the baseline ambient temperature, and decreases appropriately when the real-time ambient temperature is lower than the baseline ambient temperature. The corrected power consumption is the theoretical power consumption level of the refrigerator in a frost-free or low-frost state under the current real-time ambient temperature. If the real-time power consumption is still greater than the corrected power consumption, it can be assumed that a thick layer of frost has accumulated on the surface of the refrigerator's evaporator, resulting in a decrease in cooling efficiency. The compressor needs to run for a longer time or at a higher load to maintain the set temperature, which increases power consumption. In other words, the portion of the real-time power consumption that exceeds the corrected power consumption is the additional power consumption caused by the decrease in heat exchange efficiency due to frost on the evaporator. Therefore, the refrigerator can be started to perform the defrosting operation.

[0070] It is understood that this application embodiment uses the operating data collected under stable operating conditions after the defrosting operation as the benchmark data. Subsequent defrosting judgments are all ensured to be conducted under the same stable operating conditions to ensure data comparability and dynamically adapt to changes in ambient temperature, avoiding misjudgment or omission due to changes in ambient temperature. At the same time, by aligning the benchmark power consumption corresponding to the benchmark ambient temperature with the real-time ambient temperature, the theoretical frost-free power consumption under the current environment is obtained, i.e., the corrected power consumption. The comparison between the two is then used to determine whether the refrigerator has frost. Therefore, this application embodiment can more accurately determine whether the refrigerator has frost, improve the accuracy of the defrosting operation, reduce energy waste caused by misjudgment, and avoid the decrease in cooling efficiency caused by untimely defrosting, achieving a balance between high efficiency and precise defrosting under different usage environments.

[0071] It is understandable that a stable operating state can mean that the refrigerator's operating conditions meet the following conditions: the real-time internal temperature is within the target temperature range preset by the parameter setting unit, and / or, there is no door opening action, and / or, the current target temperature range has not been changed.

[0072] It should be noted that the parameter setting unit allows users to set or adjust the target temperature range of the refrigerator. The target temperature range is the temperature value the user expects inside the refrigerator, i.e., the desired internal temperature. When the real-time internal temperature is within the target temperature range, it can be understood that the internal temperature of the refrigerator has reached and maintained within the ideal range set by the user, indicating that the refrigerator's refrigeration system is operating stably and the internal heat load is relatively constant. In this state, the compressor's workload is mainly affected by the ambient temperature and the degree of frosting, thereby improving the reliability of power consumption data. Since opening the door causes a large amount of relatively warm and humid air to rush into the refrigerator, instantly and significantly increasing the heat load of the refrigeration system, it leads to an increase in compressor power consumption. Therefore, when the door detection unit detects no door opening, it can be understood that the refrigerator door is in a closed state during data acquisition, and there is no unplanned, large-scale heat exchange between the refrigerator and the outside world, avoiding distortion of temperature and power consumption data due to external heat exchange. The target temperature range affects the compressor's start-stop control logic in the refrigerator, such as the start-up and stop points. If the target temperature range changes, the operating baseline also changes, and the previously learned baseline power consumption becomes invalid. However, the target temperature range set by the parameter setting unit remains unchanged to ensure that the refrigerator's temperature setting is not altered during data acquisition, thus guaranteeing that the refrigerator's operating mode and control logic are continuous and consistent. It is worth noting that these three operating conditions set data acquisition standards from three dimensions: internal heat source, external interaction, and control logic. A stable operating state can refer to meeting any one of the above operating conditions. Meeting any one of these conditions effectively filters out corresponding interference, resulting in more accurate and reliable power consumption data. A stable operating state can also refer to meeting any two of the above operating conditions. Meeting any combination of these conditions ensures stability in both dimensions, effectively reducing the probability of misjudgment. Stable operation can also refer to simultaneously meeting the three operating conditions mentioned above. When the refrigerator meets all three conditions, it can collaboratively build a multi-dimensional data acquisition system, effectively isolating interference sources in daily life. This ensures that the baseline and real-time values ​​are generated in the same stable environment, isolated from the outside world, and with identical control logic. Therefore, under the same environment, the change in power consumption can directly reflect whether the evaporator is frosting. Consequently, power consumption corrections and defrosting decisions based on this state will be more accurate, effectively avoiding unnecessary defrosting operations, reducing energy waste, and also promptly detecting and addressing frosting issues to ensure the refrigerator's cooling efficiency.

[0073] like Figure 3 As shown, Figure 3 This is a flowchart illustrating the baseline data setting provided in one embodiment of this application. The method includes, but is not limited to, steps S310 to S320.

[0074] Step S310: After the defrosting operation of the refrigerator is completed, and the refrigerator is in a preset stable operating state within a first preset time period, obtain the current ambient temperature and current power consumption of the refrigerator within the first preset time period.

[0075] Step S320: Use the current ambient temperature as the reference ambient temperature for the refrigerator under stable operating conditions, and use the current power consumption as the reference power consumption for the refrigerator under stable operating conditions.

[0076] Understandably, after the defrosting process is complete, the frost layer on the evaporator surface has been reduced or removed, and the refrigerator is in a generally accepted frost-free or low-frost state. Data collection begins at this point, capturing the baseline power consumption reflecting the refrigerator's healthy state under the current environment. The first preset duration refers to a pre-defined time period used to continuously monitor and collect refrigerator operating data after the defrosting process. By observing the refrigerator's operating status over a period of time, sufficient time can be allocated to collect multiple sets of data, thereby improving the accuracy and representativeness of the data collection. The first preset duration can be set according to the refrigerator type, usage environment, and requirements for data stability. For example, it can be set to 2 hours or 4 hours to cover one or more complete operating cycles of the refrigerator, or it can be set to tens of minutes, such as 30 minutes or 45 minutes, to quickly establish baseline data in a shorter time. Ambient temperature and power consumption are collected simultaneously, binding them to form a data pair representing the normal power consumption corresponding to the refrigerator's healthy, frost-free operation at this specific ambient temperature. After data collection is completed, the collected data is solidified as the baseline standard used by the system for subsequent defrosting judgments.

[0077] The current ambient temperature data acquired within the first preset time period is processed and established as the reference ambient temperature for the refrigerator under stable operating conditions, providing a reliable ambient temperature benchmark for subsequent power consumption correction. There are several ways to determine the benchmark ambient temperature. For example, the current ambient temperature at the end of the first preset time period can be directly used as the benchmark; or, to improve accuracy, multiple current ambient temperature data collected within the first preset time period can be statistically processed, such as calculating the average, median, or weighted average, to eliminate the influence of instantaneous fluctuations. The current power consumption data acquired within the first preset time period is processed and established as the reference power consumption for the refrigerator under stable operating conditions, providing a reliable power consumption benchmark for subsequent judgment of whether the refrigerator has frosted. There are several ways to determine the benchmark power consumption. For example, the total power consumption accumulated within the first preset time period can be directly used as the benchmark; or, to more accurately reflect the power consumption level per unit time, the average power consumption or power consumption per unit time within the first preset time period can be calculated and used as the benchmark power consumption.

[0078] Understandably, after the refrigerator completes defrosting and enters a preset stable operating state, a first preset duration is initiated, during which the current ambient temperature and current power consumption of the refrigerator are continuously acquired. Continuous data collection over a period of time effectively avoids single-point data deviations caused by instantaneous environmental changes or fluctuations in the refrigerator's internal load. After the first preset duration ends, the system processes the acquired current ambient temperature and current power consumption data to establish baseline ambient temperature and baseline power consumption for the refrigerator in a stable operating state. The first preset duration ensures that the baseline data acquisition is completed within a sufficiently long and stable window, making the obtained baseline data more representative and stable, and more accurately reflecting the refrigerator's normal operating characteristics in a frost-free state. Subsequent defrosting decisions will be based on this more reliable baseline data, thereby improving the accuracy and adaptability of defrosting control.

[0079] Therefore, by setting a baseline data collection after the defrosting operation is completed, and by introducing constraints such as duration and stable operating state, the self-learning of the baseline data used by the refrigerator for defrosting determination is achieved. In this process, ambient temperature and power consumption are collected simultaneously and recorded in association to facilitate subsequent corrections. It can be seen that by setting the starting point for self-learning data collection, filtering the collection process, and associating key variables, a highly reliable and correctable personalized baseline is obtained, which helps to achieve adaptive defrosting control.

[0080] like Figure 4 As shown, Figure 4 This is a flowchart of baseline data setting provided in another embodiment of this application. The method includes, but is not limited to, steps S410 to S420.

[0081] Step S410: Calculate the average value of the current ambient temperature of the refrigerator within the first preset time period to obtain the average ambient temperature;

[0082] Step S420: Use the average ambient temperature as the reference ambient temperature for the refrigerator under stable operating conditions.

[0083] Understandably, within a first preset time period that meets the requirements of stable operation, multiple continuously collected current ambient temperatures are averaged, and the resulting average ambient temperature is used as the baseline ambient temperature. Because environmental stability is not constant and there may be slight, irregular instantaneous fluctuations, directly taking the value at a certain moment may not be representative. By calculating the average value, these random disturbances and instantaneous outliers can be effectively filtered out, making the result closer to the true and stable ambient temperature level within that time period.

[0084] The average ambient temperature can be calculated using an arithmetic mean method. This involves collecting ambient temperature data at fixed time intervals (e.g., every minute) within a first preset time period, summing all collected temperature values, and then dividing by the number of collections to obtain the average ambient temperature. Alternatively, a weighted average method can be used, assigning different weights to the ambient temperature data at different time points. Using the average ambient temperature as the baseline ambient temperature for the refrigerator under stable operating conditions means establishing the average ambient temperature calculated using the above methods as the reference ambient temperature for subsequent power consumption corrections.

[0085] like Figure 5 As shown, Figure 5 This is a flowchart of a baseline data reset provided in another embodiment of this application. The method includes, but is not limited to, step S510.

[0086] Step S510: When the target temperature range set by the parameter setting unit changes, reset the reference ambient temperature and reference power consumption.

[0087] It is understandable that when the refrigerator's temperature setting is changed via the parameter setting unit, such as raising or lowering the set temperature of the refrigerator or freezer compartment, the target temperature range is considered to have changed. This change can also be caused by a change in the refrigerator's operating mode. The refrigerator's energy consumption characteristics are directly related to the set target temperature range. When the target temperature range set by the parameter setting unit changes, the workload and power consumption required by the refrigerator to maintain the new target temperature will change accordingly. If the reference ambient temperature and reference power consumption collected under the old target temperature range are still used for judgment, the comparison between real-time power consumption and corrected power consumption will lose its accuracy, potentially leading to incorrect judgments by the defrosting control system.

[0088] Upon detecting a change in the target temperature range, the stable operating state can be considered disrupted, and the original operating logic and performance benchmarks become invalid. Therefore, it is necessary to process the previously stored benchmark data and clear out old benchmark data that is no longer applicable to the current operating conditions. The reset operation can clear the benchmark ambient temperature and benchmark power consumption values ​​stored in memory to zero, or mark them as invalid, waiting for the system to re-acquire them under the new stable operating state. It is worth noting that the reset operation can also trigger a relearning or recalibration process, returning the system to its initial state and triggering a new round of benchmark data self-learning. This allows the system to establish new benchmark data under the new target temperature range. In other words, the system can automatically adapt to the new settings and re-establish a set of accurate and personalized benchmark data under the new operating conditions, ensuring that subsequent defrosting decisions are always based on the current accurate operating benchmark, thereby improving the adaptability and accuracy of defrosting control.

[0089] like Figure 6 As shown, Figure 6 This is a flowchart illustrating the corrected power consumption calculation provided in one embodiment of this application. The method includes, but is not limited to, steps S610 to S620.

[0090] Step S610: Determine the ambient temperature correction factor based on the difference between the reference ambient temperature and the real-time ambient temperature;

[0091] Step S620: Based on the ambient temperature correction factor, the baseline power consumption is corrected and calculated to obtain the corrected power consumption.

[0092] Understandably, the difference between the baseline ambient temperature and the real-time ambient temperature is used to determine the ambient temperature correction parameter, quantifying the impact of ambient temperature changes on refrigerator power consumption. The ambient temperature correction coefficient is a numerical value reflecting the relationship between ambient temperature differences and power consumption changes. It can be determined through a pre-established mathematical model or a lookup table. Specifically, a functional relationship between the ambient temperature difference and the power consumption correction ratio can be established based on historical data or experimental results, or different correction coefficients can be assigned to different ambient temperature difference ranges. A temperature change threshold can be set; when the ambient temperature difference exceeds this threshold, the ambient temperature correction coefficient is calculated. The magnitude of the ambient temperature correction coefficient is positively correlated with the temperature difference; for example, the larger the temperature difference, the larger the ambient temperature correction coefficient.

[0093] The corrected power consumption, obtained by adjusting the baseline power consumption using an ambient temperature correction factor, represents the theoretical power consumption the refrigerator should consume under the current real-time ambient temperature, assuming it remains in the same healthy state as when the baseline data was learned. Specifically, the correction calculation can be implemented in several ways. For example, when the real-time ambient temperature is higher than the baseline ambient temperature, the sum of 1 and the ambient temperature correction factor can be multiplied by the baseline power consumption, indicating that the system expects the baseline power consumption to be higher in the current hotter environment, even without frost. Alternatively, when the real-time ambient temperature is lower than the baseline ambient temperature, the difference between 1 and the ambient temperature correction factor can be multiplied by the baseline power consumption, depending on the direction of the ambient temperature change and its impact on power consumption. Alternatively, the ambient temperature correction factor can be multiplied by the difference between the baseline ambient temperature and the real-time ambient temperature to obtain the power consumption increment. This power consumption increment can then be added to the baseline power consumption, indicating that for every 1 degree Celsius change in ambient temperature, the refrigerator's base power consumption will linearly increase or decrease by the amount of power corresponding to the ambient temperature correction factor. Or, the sum of 1 and the ambient temperature correction factor can be multiplied by the baseline power consumption, and the product can be added to the power consumption increment to obtain the corrected power consumption.

[0094] After correction, the baseline power consumption, which was only applicable to the reference ambient temperature, was dynamically calibrated to the current ambient temperature, ensuring that the real-time power consumption and the corrected power consumption are compared under the same ambient temperature. Through dynamic correction calibration, the one-time static baseline learning is transformed into continuous dynamic baseline calibration, ensuring that regardless of fluctuations in ambient temperature, the corrected power consumption used for defrosting judgment on the system can be adjusted in real time to follow environmental changes, thereby maintaining the timeliness and accuracy of the baseline data at all times.

[0095] like Figure 7 As shown, Figure 7 This is a flowchart of a modified power consumption calculation provided in another embodiment of this application. The method includes, but is not limited to, steps S710 to S720.

[0096] Step S710: Obtain the preset frosting power consumption increment coefficient;

[0097] Step S720: Based on the ambient temperature correction coefficient and the frost power consumption increment coefficient, the baseline power consumption is corrected and calculated to obtain the corrected power consumption.

[0098] Understandably, the frost-induced power consumption increment coefficient is a value pre-stored or calculated by the system. It represents the proportion or absolute amount of the increase in power consumption due to internal frost under specific operating conditions compared to the frost-free state, reflecting the degree of influence of frost on the refrigerator's cooling efficiency. The frost-induced power consumption increment coefficient can be obtained through experimental testing of the refrigerator in a controlled environment. For example, it can be determined by comparing the power consumption under different frost levels with the power consumption in the frost-free state under the same ambient temperature and internal temperature conditions, and taking the ratio of the total power consumption under frost conditions to the total power consumption in the frost-free state.

[0099] It should be noted that the frosting power consumption increment coefficient is a preset value. Based on the current ambient temperature, internal temperature and other real-time operating conditions, the frosting power consumption increment coefficient can be dynamically adjusted, or a coefficient corresponding to the current real-time operating conditions can be selected to adapt to the impact of different operating conditions on cooling power consumption. Specifically, multiple frosting power consumption increment coefficients are pre-stored for different ambient temperature ranges and different internal temperature ranges, so that the matching frosting power consumption increment coefficient can be selected for correction calculation based on the current ambient temperature and internal temperature. In addition, the frost power consumption increment coefficient can be dynamically calculated based on the cumulative running time since the last defrosting operation. Specifically, as the cumulative running time of the compressor increases after the last defrosting operation, the degree of frost on the evaporator surface usually gradually increases. Therefore, the frost power consumption coefficient can be designed to increase with the cumulative running time. For example, a frost power consumption increment coefficient table based on the cumulative running time can be preset, which records the candidate coefficient values ​​corresponding to different cumulative running time intervals, such as 0 to 12 hours, 12 to 24 hours, 24 to 48 hours, and more than 48 hours. When judging defrosting, the corresponding candidate coefficient value can be read from the table and used directly as the frost power consumption increment coefficient value based on the current cumulative running time since the last defrosting operation. Alternatively, the candidate coefficient value can be combined with the coefficients selected for ambient temperature and internal temperature, such as selecting the larger value of the two, or performing a weighted average of the two, etc., to more comprehensively reflect the actual frost development and make more accurate corrections to the baseline power consumption.

[0100] The frost power consumption increment coefficient can be stored in the data storage unit and can be called when defrosting is performed. It is used together with the ambient temperature correction coefficient to participate in the correction calculation of the baseline power consumption.

[0101] It is understandable that the corrected power consumption can be obtained by multiplying the combined coefficient of the ambient temperature correction factor and the frosting power consumption factor by the baseline power consumption, or by multiplying the sum of 1 and the frosting power consumption increment factor by the intermediate power consumption after correcting the baseline power consumption using the ambient temperature correction factor. The intermediate power consumption can be obtained by multiplying the ambient temperature correction factor by the difference between the baseline ambient temperature and the real-time ambient temperature to obtain the power consumption increment, and then adding the power consumption increment to the baseline power consumption. The corrected power consumption is calculated based on both the ambient temperature correction coefficient and the frost power consumption increment coefficient. The ambient temperature correction coefficient transfers the baseline power consumption from the baseline ambient temperature to the current real-time ambient temperature coordinates, making the baselines comparable. The baseline, which has already been calibrated by ambient temperature, is further processed by using the frost power consumption increment coefficient in the current coordinates to set a warning value and a frost judgment standard. At this point, the corrected power consumption is a composite threshold that integrates environmental compensation and frost triggering logic, reflecting the impact of ambient temperature changes on power consumption. It also estimates the theoretical power consumption level that the refrigerator should have under the current ambient temperature in a frost-free state, taking into account the impact of frost.

[0102] Specifically, real-time power consumption can be calculated by sampling the input voltage and current of the inverter in real time. Real-time power consumption can refer to the instantaneous power at the current moment, or the total power consumption over a period of time, such as the total power consumption accumulated within a complete and stable operating window, i.e., the first preset duration. If the real-time power consumption is greater than the corrected power consumption, it means that the real-time power consumption not only exceeds the theoretical frost-free power consumption at the current ambient temperature, but also exceeds the preset safety margin. Therefore, it can be accurately and reliably determined that frost has formed, and defrosting operation can be performed.

[0103] Therefore, when correcting the baseline power consumption, in addition to considering the impact of ambient temperature changes on power consumption, a frost-induced power consumption increment coefficient is introduced. This allows for a more comprehensive assessment of the refrigerator's actual operating status, enabling the corrected power consumption to more accurately reflect the theoretical power consumption level of the refrigerator in a frost-free state, taking into account the influence of ambient temperature. Consequently, it can more accurately identify the additional power consumption caused by frost, avoiding misjudgments caused by insufficient consideration of ambient temperature changes or the impact of frost. This helps the refrigerator system to initiate defrosting operations more promptly and accurately, effectively preventing excessive frost accumulation, maintaining the refrigerator's cooling efficiency, and reducing unnecessary energy consumption.

[0104] like Figure 8 As shown, Figure 8 This is a flowchart of defrosting determination provided in one embodiment of this application. The method includes, but is not limited to, step S810 or step S820.

[0105] Step S810: When the real-time power consumption is greater than the corrected power consumption, and the power error between the real-time power consumption and the corrected power consumption is greater than or equal to the preset error threshold, control the refrigerator to perform defrosting operation.

[0106] or,

[0107] Step S820: When the real-time power consumption is less than or equal to the corrected power consumption, or the power error between the real-time power consumption and the corrected power consumption is less than a preset error threshold, obtain the real-time ambient temperature and real-time power consumption of the refrigerator under stable operating conditions.

[0108] It's understandable that the power consumption error between real-time and corrected power consumption refers to the difference between the real-time power consumption collected when the refrigerator is operating stably and the theoretical power consumption corrected for current environmental conditions. The preset error threshold is a pre-set critical error value used to determine whether the power consumption error reaches the threshold for triggering defrosting. It filters out minor power consumption differences caused by normal operating fluctuations or measurement errors, ensuring that defrosting is initiated only when the current power consumption abnormally increases to a certain level. This preset error threshold can be determined based on inherent parameters such as the refrigerator's model, cooling capacity, and compressor power. For example, it can be set to a fixed power value or a percentage of the baseline power consumption. Furthermore, the preset error threshold can also be adaptive, dynamically adjusting based on factors such as the refrigerator's operating mode and the rate of change in ambient temperature to adapt to different usage scenarios.

[0109] If the refrigerator's real-time power consumption exceeds the corrected power consumption, initially indicating possible frost buildup, the power error between the baseline and corrected power consumption is further evaluated. If this error is also greater than or equal to a preset error threshold, frost buildup can be accurately confirmed, and the refrigerator can be controlled to perform a defrosting operation. By introducing the assessment of the power error between the baseline and corrected power consumption, the refrigerator's defrosting control strategy is optimized, ensuring accurate triggering of the defrosting operation. This avoids misjudging frost buildup due to slight, momentary, or non-frost-related power consumption fluctuations, thus preventing unnecessary defrosting.

[0110] When the real-time power consumption is less than or equal to the corrected power consumption, it indicates that the actual power consumption of the refrigerator is not higher than the expected power consumption under the current ambient temperature, meaning that the threshold for defrosting has not yet been reached. Alternatively, when the power error between the baseline power consumption and the corrected power consumption is less than a preset error threshold, it indicates that the current operating state of the refrigerator is very close to the ideal baseline state under frost-free conditions. In other words, even if there is slight frost, its impact on the refrigerator's cooling efficiency is negligible and insufficient to trigger defrosting, thus avoiding unnecessary defrosting and saving energy. Simultaneously, the real-time ambient temperature and real-time power consumption under stable operating conditions are re-acquired to determine whether defrosting is necessary in the next stable operating state. This ensures that the refrigerator can dynamically adapt to environmental changes and usage conditions, making the defrosting decision more accurate and timely. This prevents energy waste caused by excessive defrosting and avoids the problem of excessive frost affecting cooling efficiency, thereby effectively improving the overall energy efficiency of the refrigerator.

[0111] like Figure 9 As shown, Figure 9 This is a flowchart illustrating the preparation of the acquisition environment according to one embodiment of this application. The method includes, but is not limited to, steps S910 to S930.

[0112] Step S910: When the refrigerator is powered on for the first time, control the refrigerator to perform the defrosting operation.

[0113] Understandably, "first power-on" refers to the refrigerator being powered on and running for the first time after leaving the factory, or starting up after a prolonged power outage, such as after moving or repairs. In this state, the refrigerator's control system typically does not have any historical operating data, such as baseline ambient temperature and baseline power consumption, or this data has been cleared.

[0114] A defrosting operation is forced to be performed when the refrigerator is first powered on, which solves the problem of initial operation of the refrigerator in the absence of historical data. When the refrigerator is first powered on, the preset defrosting program can be started to ensure that the surface of the refrigerator's evaporator is in a healthy state of no frost or low frost, providing a reliable and consistent starting condition for the acquisition of reference data in the subsequent adaptive control process, thereby improving the reliability of the reference ambient temperature and reference power consumption.

[0115] like Figure 10 As shown, Figure 10 This is a flowchart illustrating a refrigerator adaptive defrosting control method provided in one embodiment of this application.

[0116] Understandably, the process involves first setting baseline data, executing step 1, and performing a complete defrosting operation; then executing step 2, selecting a period of stable operation, and collecting the current ambient temperature and current power consumption as the baseline ambient temperature and baseline power consumption; next, executing step 3, selecting another period of stable operation, and monitoring real-time power consumption and real-time ambient temperature; then executing step 4, correcting the baseline power consumption based on the current ambient temperature and the baseline ambient temperature, comparing the corrected power consumption with the real-time power consumption, and executing step 5 or step 6 based on the comparison result; in step 5, if the corrected power consumption is greater than or equal to the real-time power consumption, it is considered that there is no frost, and the defrosting operation is not performed, returning to step 3; in step 6, if the corrected power consumption is less than the real-time power consumption, it is considered that there is frost, and the defrosting operation is performed or the process returns to step 1; it is worth noting that if a change in the target temperature range is detected when executing steps 2, 3, 4, 5, and 6, step 7 is executed, resetting the baseline ambient temperature and baseline power consumption and returning to step 1.

[0117] Based on the refrigerator adaptive defrosting control method of the above embodiments, the following presents various embodiments of the controller, refrigerator, computer-readable storage medium and computer program product of this application.

[0118] like Figure 11 As shown, Figure 11 This is a schematic diagram of a controller for executing an adaptive defrosting control method for a refrigerator, according to an embodiment of this application. The controller 1100 implemented in this application includes: a processor 1110, a memory 1120, and a computer program stored in the memory 1120 and executable on the processor 1110, wherein... Figure 11 The example uses a processor 1110 and a memory 1120.

[0119] Processor 1110 and memory 1120 can be connected via a bus or other means. Figure 11 Taking the example of a connection between China and Israel via a bus.

[0120] Memory 1120, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory 1120 may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 1120 may optionally include remotely located memories 1120 relative to processor 1110, which can be connected to controller 1100 via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0121] Those skilled in the art will understand that Figure 11 The device structure shown does not constitute a limitation on the controller 1100 and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0122] exist Figure 11 In the controller 1100 shown, the processor 1110 can be used to call the control program stored in the memory 1120, thereby implementing the above-described adaptive defrosting control method for refrigerators. Specifically, the non-transient software program and instructions required to implement the adaptive defrosting control method for refrigerators in the above-described embodiment are stored in the memory 1120. When executed by the processor 1110, the adaptive defrosting control method for refrigerators in the above-described embodiment is executed.

[0123] It is worth noting that, since the controller 1100 of this application embodiment can execute the refrigerator adaptive defrosting control method of any of the above embodiments, the specific implementation and technical effects of the controller 1100 of this application embodiment can refer to the specific implementation and technical effects of the refrigerator adaptive defrosting control method of any of the above first aspects.

[0124] Furthermore, one embodiment of this application also provides a refrigerator that includes the controller described in the above embodiment.

[0125] It is worth noting that, since the refrigerator of this application embodiment includes the controller of the above embodiments, and the controller of the above embodiments is capable of executing the refrigerator adaptive defrosting control method of any of the above embodiments, the specific implementation method and technical effects of the refrigerator of this application embodiment can be referred to the specific implementation method and technical effects of the refrigerator adaptive defrosting control method of any of the above embodiments.

[0126] As is understandable, a refrigerator is a household appliance used to store food and other items, extending their shelf life by lowering the internal temperature through a refrigeration system. Typically, a refrigerator comprises one or more cabinets, a refrigeration system (e.g., a vapor compression refrigeration cycle system consisting of a compressor, condenser, evaporator, and capillary tube), a temperature control system, and a door. The refrigeration system circulates refrigerant to expel heat from the interior of the cabinet, thereby achieving cooling and maintaining a low temperature. By integrating the aforementioned controller into the refrigerator, the refrigerator becomes a complete functional unit capable of autonomously executing an adaptive defrosting control method. Specifically, the controller 1100 is physically installed in the control area inside or outside the refrigerator and communicates with various key components of the refrigerator via electrical connections. These components include, but are not limited to, a power consumption detection unit for detecting compressor power consumption, an ambient temperature sensor for collecting the ambient temperature of the refrigerator's environment, a data storage unit for storing reference data, an internal temperature sensor for sensing the internal temperature, a door detection unit for detecting the door's open / closed state, a compressor for executing the refrigeration cycle, and a defrosting heater for performing the defrosting operation. The controller continuously receives real-time data from the refrigerator's internal and external environments, such as the real-time internal temperature, ambient temperature, and door opening / closing status. Based on this data, the controller calculates and decides whether defrosting is necessary according to preset adaptive defrosting control logic. When defrosting is deemed necessary, the controller sends a control command to the refrigerator's defrosting heater to initiate the defrosting process. Therefore, the refrigerator can intelligently determine whether defrosting is needed based on actual operating conditions and power consumption changes, avoiding the inconvenience and energy waste associated with traditional timed or manual defrosting. It can autonomously optimize the defrosting cycle, reduce unnecessary defrosting operations, and lower operating energy consumption.

[0127] Furthermore, one embodiment of this application provides a computer-readable storage medium storing computer-executable instructions for performing the aforementioned adaptive defrosting control method for a refrigerator. Exemplarily, the above-described method is executed... Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 and Figure 9 The method and steps.

[0128] It is worth noting that, since the computer-readable storage medium of this application embodiment can execute the refrigerator adaptive defrosting control method of any of the above embodiments, the specific implementation and technical effects of the computer-readable storage medium of this application embodiment can be referred to the specific implementation and technical effects of the refrigerator adaptive defrosting control method of any of the above embodiments.

[0129] Furthermore, one embodiment of this application also provides a computer program product, including a computer program or computer instructions, which are stored in a computer-readable storage medium. A processor of a computer device reads the computer program or computer instructions from the computer-readable storage medium and executes the computer program or computer instructions, causing the computer device to perform the aforementioned adaptive defrosting control method for a refrigerator. Exemplarily, the above-described method is executed... Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 , Figure 8 and Figure 9 The methods and steps in the text.

[0130] It is worth noting that, since the computer program product of this application embodiment can execute the refrigerator adaptive defrosting control method of any of the above embodiments, the specific implementation method and technical effect of the computer program product of this application embodiment can refer to the specific implementation method and technical effect of the refrigerator adaptive defrosting control method of any of the above embodiments.

[0131] It will be understood by those skilled in the art that all or some of the steps and systems in the methods disclosed above can be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components can be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, as is known to those skilled in the art, communication media typically include computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0132] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0133] In the several embodiments provided in this application, it should be understood that the disclosed systems, instruments, and methods can be implemented in other ways. For example, the instrument embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between instruments or units may be electrical, mechanical, or other forms. Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, i.e., they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0134] It should also be understood that the various implementation methods provided in this application can be combined arbitrarily to achieve different technical effects.

[0135] The above provides a detailed description of the preferred embodiments of this application. However, this application is not limited to the above-described embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application. All such equivalent modifications or substitutions are included within the scope defined by the claims of this application.

Claims

1. A refrigerator adaptive defrosting control method, characterized in that, The method includes: After the refrigerator finishes defrosting and is in a preset stable operating state, the current ambient temperature and current power consumption are collected. The current ambient temperature is used as the reference ambient temperature of the refrigerator in the stable operating state, and the current power consumption is used as the reference power consumption of the refrigerator in the stable operating state. The real-time ambient temperature and real-time power consumption of the refrigerator under the stable operating state are obtained; The reference power consumption is corrected based on the reference ambient temperature and the real-time ambient temperature to obtain the corrected power consumption; When the real-time power consumption is greater than the corrected power consumption, the refrigerator is controlled to perform a defrosting operation.

2. The refrigerator adaptive defrosting control method according to claim 1, characterized in that, The refrigerator includes an internal temperature sensor for collecting the real-time internal temperature of the refrigerator, a door detection unit for detecting the opening action of the refrigerator door, and a parameter setting unit for setting the target temperature range of the refrigerator. The stable operating state indicates that the refrigerator meets the following operating conditions: the real-time internal temperature is within the target temperature range, and / or the door detection unit detects no door opening action, and / or the parameter setting unit maintains the current target temperature range.

3. The refrigerator adaptive defrosting control method according to claim 1, characterized in that, When the refrigerator completes its defrosting process and is in a preset stable operating state, the current ambient temperature is used as the reference ambient temperature for the refrigerator in the stable operating state, and the current power consumption is used as the reference power consumption for the refrigerator in the stable operating state, including: After the defrosting operation of the refrigerator is completed, and the refrigerator is in a preset stable operating state within a first preset time period, the current ambient temperature and current power consumption of the refrigerator within the first preset time period are obtained. The current ambient temperature is used as the reference ambient temperature for the refrigerator under stable operating conditions, and the current power consumption is used as the reference power consumption for the refrigerator under stable operating conditions.

4. The refrigerator adaptive defrosting control method according to claim 3, characterized in that, The step of using the current ambient temperature as the reference ambient temperature for the refrigerator under the stable operating state includes: The average ambient temperature of the refrigerator within the first preset time period is calculated to obtain the average ambient temperature. The average ambient temperature is used as the reference ambient temperature for the refrigerator under stable operating conditions.

5. The refrigerator adaptive defrosting control method according to claim 2, characterized in that, The method further includes: When the target temperature range set by the parameter setting unit changes, the reference ambient temperature and the reference power consumption are reset.

6. The refrigerator adaptive defrosting control method according to claim 1, characterized in that, The step of correcting the baseline power consumption based on the baseline ambient temperature and the real-time ambient temperature to obtain the corrected power consumption includes: An ambient temperature correction factor is determined based on the difference between the reference ambient temperature and the real-time ambient temperature. The baseline power consumption is corrected based on the ambient temperature correction factor to obtain the corrected power consumption.

7. The refrigerator adaptive defrosting control method according to claim 6, characterized in that, The step of correcting the baseline power consumption based on the ambient temperature correction coefficient to obtain the corrected power consumption includes: Obtain the preset power consumption increment coefficient for frosting; The baseline power consumption is corrected based on the ambient temperature correction coefficient and the frost power consumption increment coefficient to obtain the corrected power consumption.

8. The refrigerator adaptive defrosting control method according to claim 1, characterized in that, The step of controlling the refrigerator to perform a defrost operation when the real-time power consumption is greater than the corrected power consumption includes: When the real-time power consumption is greater than the corrected power consumption, and the power error between the real-time power consumption and the corrected power consumption is greater than or equal to a preset error threshold, the refrigerator is controlled to perform a defrosting operation.

9. The refrigerator adaptive defrosting control method according to claim 1, characterized in that, The method further includes: When the real-time power consumption is less than or equal to the corrected power consumption, or the power error between the real-time power consumption and the corrected power consumption is less than a preset error threshold, the real-time ambient temperature and real-time power consumption of the refrigerator under the stable operating state are obtained.

10. The refrigerator adaptive defrosting control method according to claim 1, characterized in that, The method further includes: When the refrigerator is powered on for the first time, control the refrigerator to perform a defrosting operation.

11. A controller, characterized in that, The device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the refrigerator adaptive defrosting control method as described in any one of claims 1 to 10.

12. A refrigerator, characterized in that, Includes the controller as described in claim 11.

13. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for causing the controller to perform the refrigerator adaptive defrosting control method as described in any one of claims 1 to 10.

14. A computer program product, comprising a computer program or computer instructions, characterized in that, The computer program or the computer instructions are stored in a computer-readable storage medium. The processor of the electronic device reads the computer program or the computer instructions from the computer-readable storage medium and executes the computer program or the computer instructions, causing the electronic device to perform the refrigerator adaptive defrosting control method as described in any one of claims 1 to 10.