Method, apparatus for controlling refrigerator, and refrigerator

Abstract

The application relates to the refrigeration technical field and discloses a method for controlling a refrigerator, which comprises the following steps: in the case that the refrigerator runs in a demand response mode, calculating an initial power according to a target energy-saving rate and average power consumption in a neighboring stable section; controlling the refrigerator to run at a compressor frequency determined according to the initial power and calculating a temperature rise value of a refrigeration cycle; and controlling the refrigerator according to the temperature rise value of the refrigeration cycle. The scheme significantly improves the energy-saving efficiency, optimizes the preservation effect, ensures the intelligent and efficient operation of the refrigerator in the demand response scene, and takes into account the dual demands of users for preservation and energy saving, thereby providing strong support for the stable operation of a power grid. The application further discloses a device for controlling the refrigerator and the refrigerator.

Description

Technical Field

[0001] This application relates to the field of refrigeration technology, such as a method, apparatus, and refrigerator for controlling a refrigerator. Background Technology

[0002] With the continuous growth of global energy demand and increasing environmental awareness, the development of smart grid technology has become an important trend in the power industry. Demand response, as a key component of the smart grid, has become a core topic in the optimized operation of the power system. The purpose of demand response is to rationally adjust the electricity load without affecting users' basic electricity needs, thereby achieving stable grid operation and efficient energy utilization. Especially for appliances like refrigerators that are sensitive to temperature, excessively lowering the temperature to meet demand often leads to large temperature fluctuations, adversely affecting food storage. Furthermore, insufficient demand response can result in low or no energy savings, which also negatively impacts the stability of the grid load.

[0003] To address the problem of excessive temperature fluctuations negatively impacting food storage, a method has been proposed to regulate refrigerator power consumption based on the power grid peak-valley curve and temperature-power curve, aiming to smooth out power grid peaks and valleys. This method effectively regulates the power grid load by reducing refrigerator power consumption during peak hours and increasing it during off-peak hours.

[0004] In the process of implementing the embodiments of this disclosure, at least the following problems were found in the related art:

[0005] While related technologies have achieved optimized regulation of grid load to some extent, the lack of corresponding dynamic control mechanisms within refrigerator compartments often results in a significant sacrifice in preservation performance. Therefore, how to ensure the preservation capacity of refrigerator compartments while achieving effective demand response to the power grid has become a pressing technical problem to be solved.

[0006] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0007] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0008] This disclosure provides a method, apparatus, and refrigerator for controlling a refrigerator, so as to achieve effective demand response to the power grid while ensuring the freshness preservation capacity of the refrigerator compartments.

[0009] In some embodiments, the method for controlling the refrigerator includes: calculating an initial power based on a target energy saving rate and the average power consumption in a nearby stable range when the refrigerator is operating in demand response mode; controlling the refrigerator to operate at a compressor frequency determined by the initial power and calculating the temperature rise value of the cooling cycle; and controlling the refrigerator based on the temperature rise value of the cooling cycle.

[0010] In some embodiments, the method for controlling the refrigerator includes: controlling the refrigerator to exit the demand response mode when the temperature rise value of the cooling cycle is greater than or equal to the upper limit of the temperature rise; controlling the refrigerator to exit the demand response mode when the temperature rise value of multiple consecutive cooling cycles continues to rise; and dynamically adjusting the operating frequency of the compressor using a step size adaptive model when the temperature rise value of multiple consecutive cooling cycles meets the dynamic stability condition.

[0011] In some embodiments, the method for controlling the refrigerator includes: obtaining the type of food stored in the refrigerator compartment; and determining an upper limit for temperature rise based on the type of food stored in the refrigerator compartment.

[0012] In some embodiments, the method for controlling the refrigerator includes: dynamically adjusting the operating frequency of the compressor by alternately using a frequency reduction model and a frequency increase model; wherein, dynamically adjusting the operating frequency of the compressor by using a frequency reduction model includes, when the temperature rise value of the current cooling cycle is lower than the upper limit of the temperature rise, controlling the compressor to reduce the frequency according to the frequency reduction step size output by the frequency reduction model, and maintaining the current compressor frequency at the target time until the temperature rise value of the current cooling cycle reaches the upper limit of the temperature rise; dynamically adjusting the operating frequency of the compressor by using a frequency increase model includes, controlling the compressor to increase the frequency according to the frequency increase step size output by the frequency increase model, so as to reduce the temperature rise value of the current cooling cycle to the lower limit of the temperature rise.

[0013] In some embodiments, the method for controlling a refrigerator includes: determining a target energy saving rate by using an initial energy saving rate as the target energy saving rate; or, determining the target energy saving rate based on the initial energy saving rate, historical response records, and changes in refrigerator compartment settings.

[0014] In some embodiments, the method for controlling a refrigerator includes: obtaining a first power value of the refrigerator in a non-demand response mode; calculating a power threshold based on a second power value of the refrigerator compressor operating at its lowest operating frequency and a target energy saving rate; and controlling the refrigerator to operate in demand response mode if the first power value is greater than the power threshold.

[0015] In some embodiments, the method for controlling the refrigerator includes: controlling the refrigerator to exit demand response mode when the current time reaches the end of the grid peak period.

[0016] In some embodiments, the device for controlling the refrigerator includes: a first calculation module configured to calculate an initial power based on a target energy saving rate and the average power consumption within a nearby stable period when the refrigerator is operating in demand response mode; a second calculation module configured to control the refrigerator to operate at a compressor frequency determined by the initial power and calculate the temperature rise value of the cooling cycle; and a control module configured to control the refrigerator based on the temperature rise value of the cooling cycle.

[0017] In some embodiments, the apparatus includes a processor and a memory storing program instructions, the processor being configured to execute the aforementioned method for controlling a refrigerator when the program instructions are executed.

[0018] In some embodiments, the refrigerator includes: a refrigerator body; and the aforementioned device for controlling the refrigerator, which is installed on the refrigerator body.

[0019] The method, apparatus, and refrigerator for controlling a refrigerator provided in this disclosure can achieve the following technical effects:

[0020] This solution accurately calculates the initial power based on the target energy saving rate and the average power consumption within the adjacent stable range when the refrigerator is operating in demand response mode, and determines the compressor frequency accordingly. Furthermore, it monitors and calculates the temperature rise during the cooling cycle in real time, dynamically adjusting the refrigerator's operating status. While ensuring that the refrigerator's compartment preservation capabilities are not affected, this solution significantly improves energy efficiency and optimizes preservation effects through an intelligent control mechanism. It ensures intelligent and efficient operation of the refrigerator in demand response scenarios, balancing users' dual needs for preservation and energy saving, and providing strong support for the stable operation of the power grid.

[0021] The above general description and the description below are exemplary and illustrative only and are not intended to limit this application. Attached Figure Description

[0022] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein:

[0023] Figure 1-1 It is a graph showing the temperature change of the refrigerator compartments while it is running.

[0024] Figure 1-2 This is a schematic diagram of a method for controlling a refrigerator provided in an embodiment of this disclosure;

[0025] Figure 2 This is a schematic diagram of a method for determining the upper limit of temperature rise provided in an embodiment of this disclosure;

[0026] Figure 3This is a schematic diagram of another method for controlling a refrigerator provided in an embodiment of this disclosure;

[0027] Figure 4 This is a schematic diagram of another method for controlling a refrigerator provided in an embodiment of this disclosure;

[0028] Figure 5 This is a schematic diagram of a device for controlling a refrigerator provided in an embodiment of this disclosure;

[0029] Figure 6 This is a schematic diagram of another device for controlling a refrigerator, provided by an embodiment of this disclosure. Detailed Implementation

[0030] To provide a more detailed understanding of the features and technical content of the embodiments of this disclosure, the implementation of the embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. The accompanying drawings are for illustrative purposes only and are not intended to limit the embodiments of this disclosure. In the following technical description, for ease of explanation, several details are used to provide a full understanding of the disclosed embodiments. However, one or more embodiments may still be implemented without these details. In other cases, well-known structures and devices may be simplified in their depiction to simplify the drawings.

[0031] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0032] Unless otherwise stated, the term "multiple" means two or more.

[0033] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0034] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0035] The term "correspondence" can refer to an association or binding relationship. The correspondence between A and B means that there is an association or binding relationship between A and B.

[0036] In this embodiment of the disclosure, smart home appliances refer to home appliances formed by introducing microprocessors, sensor technology and network communication technology into home appliances. They have the characteristics of intelligent control, intelligent sensing and intelligent application. The operation of smart home appliances often relies on the application and processing of modern technologies such as the Internet of Things, the Internet and electronic chips. For example, smart home appliances can be connected to electronic devices to enable users to remotely control and manage smart home appliances.

[0037] In this embodiment of the disclosure, the terminal device refers to an electronic device with wireless connectivity. The terminal device can communicate with the aforementioned smart home appliances by connecting to the internet, or directly via Bluetooth, Wi-Fi, or other methods. In some embodiments, the terminal device may be, for example, a mobile device, a computer, or an in-vehicle device built into a hovercraft, or any combination thereof. Mobile devices may include, for example, mobile phones, smart home devices, wearable devices, smart mobile devices, virtual reality devices, or any combination thereof. Wearable devices may include, for example, smartwatches, smart bracelets, pedometers, etc.

[0038] In this solution, the refrigeration process of the refrigerator compartment is divided into different stages to more precisely control and monitor temperature changes, thereby optimizing energy efficiency performance in demand response mode. These stages include a steady-state phase, a near-steady-state phase, and a refrigeration cycle, each with its specific characteristics and functions:

[0039] Stable Phase: In this phase, the temperature changes in the refrigerator compartment exhibit a high degree of regularity and repetition, typically fluctuating between the start and stop points. The criteria for determining the stable phase follow the method described in the power consumption test of GB / T8059-2016. This standard provides a stable reference for the compartment temperature curve, enabling the refrigerator control system to identify a stable operating state unaffected by external factors (such as defrosting, door opening and closing, etc.).

[0040] Near-Stable Phase: This concept refers to the stable phase closest to the start of demand response mode, before entering demand response mode. During this phase, the refrigerator's operating status is used as a baseline for assessing entry into demand response mode. Data from this near-stable phase is crucial for determining the initial setting of the compressor's operating frequency in demand response mode.

[0041] Cooling cycle: This refers to the entire period from when the compressor starts cooling until the next start. During each cooling cycle, the refrigerator lowers the temperature of the compartment by cooling with the compressor, and then stops running until the temperature rises to the point where the compressor needs to be restarted to cool.

[0042] By monitoring these stages, the refrigerator can accurately calculate and predict temperature changes in demand response mode, and then dynamically adjust the compressor's operating frequency. This intelligent control strategy not only improves the refrigerator's energy efficiency but also ensures the freshness of food while meeting the grid's demand response requirements. Through this detailed stage division and control, the refrigerator can achieve optimal energy efficiency and preservation effects under different operating conditions.

[0043] Combination Figure 1-1 and Figure 1-2 As shown in the embodiments of this disclosure, a method for controlling a refrigerator is provided, including:

[0044] S11, In the refrigerator's demand response mode, the refrigerator calculates the initial power based on the target energy saving rate and the average power consumption in the adjacent stable period.

[0045] S12, the refrigerator control unit operates the refrigerator according to the compressor frequency determined by the initial power, and calculates the temperature rise value of the cooling cycle.

[0046] S13, the refrigerator controls the refrigerator according to the temperature rise value of the cooling cycle.

[0047] In this scheme, the target energy saving rate refers to the percentage reduction in energy consumption that the refrigerator is expected to achieve under demand response mode. This indicator reflects the degree of energy reduction the refrigerator experiences when participating in grid demand response compared to normal operation mode. Setting the target energy saving rate considers the balance between energy efficiency and the refrigerator's preservation performance, maximizing energy savings without compromising food preservation quality. As an example, the target energy saving rate can be preset. For instance, it could be set to 5%.

[0048] In this scheme, the adjacent stable period refers to the last temperature fluctuation cycle of the refrigerator operating in normal mode before entering demand response mode, such as... Figure 1-1 As shown in the diagram. Normal mode refers to all modes of the refrigerator other than demand response mode, i.e., non-demand response mode. This stable segment represents the refrigerator's stable operation without external interference (such as defrosting, door opening / closing, etc.), and its temperature curve exhibits high repeatability and regularity between the start / stop points. The average power consumption within the adjacent stable segment refers to the average value of energy consumption data recorded by the refrigerator's energy consumption monitoring unit within the aforementioned stable segment. This data reflects the refrigerator's energy consumption in normal operation mode and is an important reference for calculating the initial power in demand response mode.

[0049] Optionally, the average power consumption P during the adjacent steady-state segment ave The calculation method is as follows:

[0050]

[0051] Among them, P ave Let P(t) be the average power consumption within the adjacent stable segment, P(t) be the instantaneous power consumption at time t, T be the duration of the adjacent stable segment, and t0 be the time point at the start of the stable segment.

[0052] In this way, the initial power can be calculated based on the target energy saving rate and the average power consumption in the adjacent stable range:

[0053] P0 = P ave ×(1-R aim )

[0054] Where P0 is the initial power in demand response mode, P ave R represents the average power consumption within the adjacent stable range. aim The target energy saving rate.

[0055] With this solution, when the refrigerator enters demand response mode, it can ensure that the real-time energy saving rate is always no lower than the target energy saving rate by operating at the calculated initial power.

[0056] Furthermore, after the refrigerator's initial power is determined, the compressor frequency is determined by looking up data in a pre-stored mapping table of compressor frequency and power output. Alternatively, the refrigerator can employ an adaptive algorithm to dynamically adjust the compressor's operating frequency to correspond to the initial power based on the refrigerator's actual operating status and energy consumption data.

[0057] In this plan, such as Figure 1-1 As shown, a cooling cycle refers to the entire period from the moment the refrigerator compartment temperature rises from its lowest point to the moment it subsequently falls back to its lowest point; a continuous cooling cycle refers to adjacent consecutive cooling cycles. The temperature rise value refers to the increase in the integral average temperature of the refrigerator compartment under demand response mode compared to the integral average temperature of the compartment during an adjacent stable period (i.e., non-demand response mode). This parameter measures the maximum allowable temperature rise within the compartment under demand response mode to achieve energy savings. It reflects the energy-saving potential that the refrigerator can achieve without sacrificing food preservation quality. As an example, the temperature rise value of the cooling cycle can be calculated after each cooling cycle ends.

[0058] Specifically, a refrigerator can calculate the temperature rise during a cooling cycle in the following ways:

[0059]

[0060] Among them, t s t represents the start time of the demand response pattern. e T is the time at the end of each cooling cycle. ave Let T be the integral average temperature of the adjacent stable compartments, and let T be the real-time temperature of the compartment, which varies with time.

[0061] With this solution, by accurately calculating the temperature rise value, the refrigerator can dynamically adjust the compressor's operating frequency in demand response mode based on the actual operating status and energy consumption data, thereby achieving more efficient energy utilization.

[0062] Furthermore, the refrigerator can be controlled based on the temperature rise value of the cooling cycle.

[0063] The method for controlling a refrigerator provided in this disclosure accurately calculates the initial power based on the target energy saving rate and the average power consumption within a nearby stable period when the refrigerator is operating in demand response mode, and determines the compressor frequency accordingly. Furthermore, it monitors and calculates the temperature rise value of the cooling cycle in real time to dynamically adjust the refrigerator's operating state. This solution significantly improves energy efficiency and optimizes preservation effects through an intelligent control mechanism, ensuring intelligent and efficient operation of the refrigerator in demand response scenarios while ensuring that the refrigerator's compartment preservation capabilities are not affected. It caters to both user needs for preservation and energy saving, and provides strong support for the stable operation of the power grid.

[0064] In this solution, before the refrigerator operates in demand response mode, the method also includes:

[0065] Before the peak period of the power grid arrives, a time period is set. After receiving the demand response request and time period information, the refrigerator sends a message to the user terminal asking whether to enter the demand response mode.

[0066] If the user chooses not to enter demand response mode or does not respond, the refrigerator will not perform demand response control.

[0067] If the user selects to enter demand response mode, the refrigerator will perform demand response control.

[0068] The time period set before the peak period of the power grid can be half an hour before the peak period of the power grid.

[0069] In this solution, at a critical moment before peak grid hours, an intelligent decision-making system sends a demand response request and time period information to the refrigerator server at least 30 minutes in advance, allowing ample time for communication and user decision-making. Upon receiving this information, the refrigerator will send a message to the user via a user terminal device, such as a smartphone app, asking whether to enter demand response mode. This interactive step ensures the user's right to choose and right to know, while providing sufficient time for the user to make a decision. Thus, if the user chooses not to enter demand response mode or does not respond, the refrigerator maintains normal operation without additional energy-saving adjustments. If the user agrees to enter demand response mode, the refrigerator automatically executes the preset demand response control strategy.

[0070] In an optimized solution, users can also choose to enable the demand response function by default. This way, the refrigerator will automatically execute demand response control after receiving instructions from the server, without having to ask the user every time.

[0071] This solution, through advance notification and user participation, ensures that refrigerators can effectively reduce energy consumption during peak grid hours without sacrificing user experience, thereby saving users electricity bills and contributing to the stable operation of the power grid. Furthermore, the flexibility and automation of this solution increase user acceptance and participation in energy-saving behaviors, helping to promote the application of demand response technology in homes.

[0072] Optionally, S13, the refrigerator controls the refrigerator based on the temperature rise value of the cooling cycle, including:

[0073] If the temperature rise during the cooling cycle is greater than or equal to the upper limit of the temperature rise, the refrigerator control will exit the demand response mode.

[0074] When the temperature rise continues to increase over multiple cooling cycles, the refrigerator will exit demand response mode.

[0075] When the temperature rise value meets the dynamic stability condition for multiple consecutive refrigeration cycles, the operating frequency of the compressor is dynamically adjusted using a step size adaptive model.

[0076] In this solution, the upper limit of temperature rise can be preset. For example, the upper limit can be 2°C. In an optimized solution, the refrigerator obtains the type of food stored in the refrigerator compartment. Based on the type of food stored in the compartment, the refrigerator determines the upper limit of temperature rise. In practical applications, users can input the main types of food stored in the compartment through a smart terminal device (such as a mobile app), and the refrigerator will calculate the upper limit of temperature rise based on the preset food preservation temperature requirements and the current temperature setting. This upper limit ensures that the compartment temperature will not rise excessively in demand response mode, thereby protecting the freshness and quality of food. Thus, if the temperature rise value of the cooling cycle is greater than or equal to the upper limit, it indicates that the current compressor's operating power and frequency cannot meet energy-saving requirements while maintaining the appropriate temperature for food preservation. In this case, the refrigerator needs to exit demand response mode and return to normal operation mode. This solution can prevent the compartment temperature from becoming too high, thereby protecting the freshness and quality of food and avoiding food spoilage or user dissatisfaction due to improper temperature control.

[0077] In this solution, the refrigerator closely monitors the temperature rise trend over multiple consecutive cooling cycles. Specifically, if the calculated temperature rise at the end of a cooling cycle exceeds the lower limit but does not reach the upper limit, the refrigerator records this temperature rise and accumulates the number of consecutive increases. Here, the lower limit is zero. Thus, when the cumulative number of consecutive increases reaches or exceeds three, even if the temperature rise does not reach the upper limit, the refrigerator will consider the cooling capacity under the current power setting insufficient. In this case, the refrigerator will exit the current demand response mode and switch to normal cooling mode to operate the compressor. This transition ensures that in demand response mode, the refrigerator can participate in grid load regulation while prioritizing food preservation at all times. Through this intelligent control logic, the refrigerator can flexibly find the optimal balance between energy saving and preservation, improving operating efficiency and user satisfaction.

[0078] In this solution, the refrigerator calculates the temperature rise at the end of each cooling cycle. If the calculation determines that the temperature rise does not increase three times consecutively, and each collected temperature rise value is lower than the set upper limit, this indicates that under the current operating power and compressor frequency settings, the refrigerator can effectively control the temperature rise inside the compartment and maintain it within a safe range. This means that the refrigerator has the demand response capability to achieve a target energy saving rate without sacrificing preservation quality, i.e., the current situation meets the dynamic stability condition. Thus, after confirming that the temperature rise values ​​for multiple consecutive cooling cycles meet the dynamic stability condition, the refrigerator uses a step-size adaptive model to dynamically adjust the compressor's operating frequency. This model adaptively adjusts the compressor's operating frequency to adapt to constantly changing environmental conditions and user needs. This dynamic adjustment mechanism enables the refrigerator to operate more intelligently and efficiently in demand response mode, optimizing energy use while ensuring user comfort and food freshness.

[0079] Combination Figure 2 As shown, optionally, the refrigerator calculates the upper limit of temperature rise in the following ways:

[0080] S21, the refrigerator obtains the type of food stored in the refrigerator compartment.

[0081] S22, the refrigerator determines the upper limit of temperature rise based on the type of food stored in the refrigerator compartment.

[0082] This solution intelligently analyzes the types of food stored by users within the refrigerator compartment, combining this with user habits and preferences to dynamically set an upper limit for the compartment's temperature rise. This optimizes the refrigerator's energy consumption and ensures food freshness. First, the refrigerator system collects user-inputted food information, including meat, vegetables, and fruits, through user terminals such as a mobile app. Then, based on these food types, the refrigerator uses its built-in database to determine the recommended upper limit for storage temperature for each type. This solution, by intelligently setting the upper limit for temperature rise, allows the refrigerator to operate more efficiently in demand-response mode, reducing unnecessary energy consumption and achieving energy conservation and emission reduction.

[0083] Optionally, the step-size adaptive model includes a frequency reduction model and a frequency increase model. The step-size adaptive model dynamically adjusts the compressor's operating frequency, including:

[0084] The refrigerator dynamically adjusts the compressor's operating frequency by alternately using a frequency reduction model and a frequency increase model.

[0085] Among them, the dynamic adjustment of the compressor's operating frequency using the frequency reduction model includes controlling the compressor to reduce its frequency according to the frequency reduction step size output by the frequency reduction model when the temperature rise value of the current cooling cycle is lower than the upper limit of the temperature rise, and maintaining the current compressor frequency at the target time until the temperature rise value of the current cooling cycle reaches the upper limit of the temperature rise; the dynamic adjustment of the compressor's operating frequency using the frequency increase model includes controlling the compressor to increase its frequency according to the frequency increase step size output by the frequency increase model, so as to reduce the temperature rise value of the current cooling cycle to the lower limit of the temperature rise.

[0086] In this solution, the refrigerator can alternate between a frequency reduction model and a frequency increase model to dynamically adjust the compressor's operating frequency. Specifically, if the temperature rise is below the upper limit, the refrigerator will use the frequency reduction model to dynamically adjust the compressor's operating frequency. Here, the frequency reduction model is:

[0087] △f=-int[△f max ×(f max -f curret ) / (f max -f min )

[0088] Among them, f min f is the minimum operating frequency of the press. current f is the current frequency of the compressor. max Δf represents the upper limit of the compressor's operating frequency in demand response mode, and Δf is the frequency reduction step size.

[0089] In this way, the frequency reduction model calculates a reduction step size and guides the compressor to reduce its operating frequency. This process continues until the target time, which is the point at which a sustained increase in temperature value is detected across multiple consecutive cooling cycles. For example, if a sustained increase in temperature value is detected across three consecutive cooling cycles, that point is the target time. Furthermore, the refrigerator maintains the compressor's current frequency until the temperature rise value of the current cooling cycle reaches its upper limit.

[0090] Furthermore, if the temperature rise during the current cooling cycle continues to increase, approaching or exceeding the upper limit of the temperature rise, the refrigerator control system will switch to the frequency up-rate mode. Here, the frequency up-rate mode is:

[0091] △f=int[△f max / 2×(f max -f current ) / (f max -f min )+△f max / 2×△T / △T max ]

[0092] Among them, f min f is the minimum operating frequency of the press. current f is the current frequency of the compressor. max This represents the upper limit of the compressor's operating frequency under demand response mode, where ΔT is the temperature rise value. max This represents the upper limit of temperature rise.

[0093] In this way, the frequency ramp-up model calculates a frequency ramp-up step size and instructs the compressor to increase its operating frequency. Through frequency ramp-up control, the refrigerator can reduce the temperature rise to the lower limit of the temperature rise to ensure energy efficiency while maintaining the freshness of food.

[0094] Optionally, the maximum step size can be calculated using the following formula:

[0095] △f max =(f max -f min ) / 10Hz

[0096] Optionally, the minimum step size Δf min =1Hz.

[0097] In this way, the refrigerator can utilize an adaptive step model to dynamically adjust the frequency reduction and increase step size based on real-time monitored temperature rise data, thereby intelligently adjusting the compressor's operating frequency in demand response mode. This dynamic adjustment mechanism ensures that, while maintaining food preservation quality, the refrigerator can flexibly participate in the grid's demand response based on actual temperature rise conditions, effectively reducing energy consumption.

[0098] Alternatively, the refrigerator determines its target energy efficiency by:

[0099] The refrigerator uses the initial energy saving rate as the target energy saving rate; or,

[0100] The refrigerator determines its target energy efficiency rate based on the initial energy efficiency rate, historical response records, and changes in the refrigerator compartment settings.

[0101] In this solution, the refrigerator can use the initial energy saving rate as the target energy saving rate. That is, in the initial stage, the target energy saving rate is set at 5%, a preset value based on experience and general energy-saving effects. This method is simple and direct, using a preset value as the target, and is suitable for situations where there are basic expectations for the refrigerator's energy-saving performance.

[0102] In this solution, the target energy efficiency rate is determined not only based on the initial energy efficiency rate but also by considering historical response records and changes in the refrigerator's compartment settings. Specifically, during the demand response period, if the refrigerator fails to achieve the target energy efficiency rate, such as between 10:00 and 11:00 on April 14, 2025, the refrigerator will record the failure and adjust the target energy efficiency rate in future operations. The adjustment method is as follows: if the compartment settings do not change during the same time period the following day, the target energy efficiency rate will be reduced by 1%, for example, from 5% to 4%, thereby reducing the difficulty of response and increasing the probability of success. Conversely, if the refrigerator successfully reaches or exceeds the 5% energy efficiency target, then in the following operating cycle, the target energy efficiency rate will increase by 1%, becoming 6%, thereby encouraging the refrigerator to continuously optimize its performance.

[0103] In addition, the refrigerator system remembers the setting during the response period. If it detects a change in the setting between two consecutive days, it will adjust its settings based on historical data of energy efficiency under similar environmental conditions. If the setting remains unchanged, the target energy efficiency will remain at its initial value of 5%.

[0104] This solution, by providing two flexible methods for determining target energy efficiency, enables the refrigerator to operate more intelligently and efficiently in demand response mode. This approach not only optimizes energy use and reduces users' electricity bills, but also improves food preservation quality and enhances user satisfaction by reducing temperature fluctuations. Simultaneously, through intelligent demand response control, the refrigerator can better coordinate with grid load management, contributing to the stable operation of the grid and achieving a win-win situation for both economic and environmental benefits.

[0105] Combination Figure 3 As shown, optionally, before the refrigerator operates in demand response mode, the method further includes:

[0106] S31, the refrigerator obtains the first power value of the refrigerator in non-demand response mode.

[0107] S32, the refrigerator calculates the power threshold based on the second power value of the refrigerator compressor when it is running at the lowest operating frequency and the target energy saving rate.

[0108] S33, when the first power value is greater than the power threshold, the refrigerator controls the refrigerator operation demand response mode.

[0109] In this scheme, the first power value in non-demand response mode refers to the average power value of the refrigerator in the steady segment of non-demand response mode, which reflects the energy consumption of the refrigerator under normal operating conditions.

[0110] Simultaneously, the refrigerator can calculate the power threshold based on the second power value of the compressor operating at its lowest frequency and the preset target energy saving rate. Specifically, the formula for calculating the power threshold is as follows:

[0111] P 阈值 =P2÷(1-R) aim )

[0112] Where P2 is the second power value, R aim For the target energy saving rate, P 阈值 This is the power threshold.

[0113] Thus, if the calculated first power value P1 is greater than the power threshold P 阈值 The refrigerator assumes it has the potential for demand response, meaning it can reduce energy consumption without affecting its basic cooling function. In this case, the refrigerator will enter demand response mode and begin implementing demand response control strategies. Conversely, if the first power value P1 is not greater than the power threshold P... 阈值 The refrigerator, however, assumes it lacks demand response capabilities. This could be because environmental conditions or user habits prevent the refrigerator from meeting energy-saving targets even at its lowest operating frequency. Therefore, the refrigerator will not enter demand response mode and will continue operating in normal mode.

[0114] With this solution, the refrigerator can intelligently determine whether to enter demand response mode, thereby optimizing energy efficiency by responding to the power grid's demands while ensuring user comfort and food preservation. This method not only improves the refrigerator's energy efficiency but also helps with grid load management, reduces energy waste, and provides users with a more intelligent and personalized energy-saving experience.

[0115] Combination Figure 4 As shown in the embodiments of this disclosure, another method for controlling a refrigerator is also provided, including:

[0116] S41, In the refrigerator's demand response mode, the refrigerator calculates the initial power based on the target energy saving rate and the average power consumption in the adjacent stable period.

[0117] S42, the refrigerator control unit operates the refrigerator according to the compressor frequency determined by the initial power, and calculates the temperature rise value of the cooling cycle.

[0118] S43, the refrigerator controls the refrigerator based on the temperature rise value of the cooling cycle.

[0119] S44, if the current time reaches the end of the grid peak period, the refrigerator control will exit the demand response mode.

[0120] In this solution, at the end of the peak electricity grid period, for example, at 3 PM, the refrigerator will automatically perform a series of operations to exit demand response mode and return to normal operation mode. At this time, the refrigerator will stop implementing special energy-saving control measures and adjust the compressor frequency back to the user-preset normal operating state, ensuring that the compartment temperature quickly returns to the user's desired level. Next, the refrigerator will use a real-time energy saving rate formula to calculate the energy-saving effect during this demand response period. This formula will consider the percentage reduction in energy consumption during the demand response period and combine it with electricity price information to estimate the electricity cost savings. After the calculation is completed, this data will be transmitted to the user's smartphone app via wireless network. The user can intuitively see the amount of electricity saved and also view the compartment temperature change curve during the response period to understand the refrigerator's operating status.

[0121] In addition, the refrigerator will record key data such as the energy saving rate, compartment temperature setting, and ambient temperature during this demand response in a local database. This data not only helps users understand their energy-saving behavior but also provides refrigerator manufacturers with valuable operational data for future algorithm optimization and improved user satisfaction.

[0122] This solution, through its intelligent control and feedback mechanism, significantly enhances user participation in grid demand response while ensuring transparency regarding the refrigerator's operational status. It not only optimizes energy efficiency and reduces electricity costs but also ensures food freshness and quality through precise temperature control, achieving a win-win situation of energy saving and preservation. Furthermore, the collected data provides a basis for continuous improvement of demand response strategies, contributing to greater accuracy and efficiency in future response actions.

[0123] Alternatively, the real-time energy saving rate formula is as follows:

[0124]

[0125] Where P represents real-time power consumption, P ave t represents the average power consumption within the adjacent steady-state range. s t represents the start time of the response mode. m R represents the current moment in the demand response mode. now This indicates the real-time energy saving rate.

[0126] Combination Figure 5As shown, this embodiment of the present disclosure provides a device 200 for controlling a refrigerator, including a first calculation module 51, a second calculation module 52, and a control module 53. The first calculation module 51 is configured to calculate an initial power based on a target energy saving rate and the average power consumption within a nearby stable period when the refrigerator is in demand response mode. The second calculation module 52 is configured to control the refrigerator to operate at a compressor frequency determined by the initial power and calculate the temperature rise value of the cooling cycle. The control module 53 is configured to control the refrigerator based on the temperature rise value of the cooling cycle.

[0127] The refrigerator control device 200 provided in this embodiment accurately calculates the initial power based on the target energy saving rate and the average power consumption in the adjacent stable range when the refrigerator is operating in demand response mode, and determines the compressor frequency accordingly. Furthermore, it monitors and calculates the temperature rise value of the cooling cycle in real time, thereby dynamically adjusting the refrigerator's operating state. This solution, while ensuring that the refrigerator compartment's preservation capacity is not affected, significantly improves energy efficiency and optimizes the preservation effect through an intelligent control mechanism, ensuring intelligent and efficient operation of the refrigerator in demand response scenarios. It caters to both users' needs for preservation and energy saving, and provides strong support for the stable operation of the power grid.

[0128] Combination Figure 6 As shown, this disclosure provides a device 300 for controlling a refrigerator, including a processor 30 and a memory 31. Optionally, the device 300 may further include a communication interface 32 and a bus 33. The processor 30, communication interface 32, and memory 31 can communicate with each other via the bus 33. The communication interface 32 can be used for information transmission. The processor 30 can call logical instructions in the memory 31 to execute the method for controlling the refrigerator described in the above embodiment.

[0129] Furthermore, the logical instructions in the aforementioned memory 31 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0130] The memory 31, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 30 executes functional applications and data processing by running the program instructions / modules stored in the memory 31, that is, it implements the method for controlling the refrigerator in the above embodiments.

[0131] The memory 31 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the terminal device. Furthermore, the memory 31 may include high-speed random access memory and may also include non-volatile memory.

[0132] This disclosure provides a refrigerator, including a refrigerator body and the aforementioned device 200 (300) for controlling the refrigerator. The device 200 (300) for controlling the refrigerator is mounted on the refrigerator body. The mounting relationship described herein is not limited to placement inside the refrigerator body, but also includes mounting connections with other components of the refrigerator, including but not limited to physical connections, electrical connections, or signal transmission connections. Those skilled in the art will understand that the device 200 (300) for controlling the refrigerator can be adapted to feasible refrigerator bodies to achieve other feasible embodiments.

[0133] This disclosure provides a computer-readable storage medium storing computer-executable instructions configured to perform the above-described method for controlling a refrigerator.

[0134] The technical solutions of this disclosure can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes one or more instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in this disclosure. The aforementioned storage medium can be a non-transitory storage medium, such as a USB flash drive, external hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, etc., and other media capable of storing program code.

[0135] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprising a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0136] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0137] The methods and products (including but not limited to devices and equipment) disclosed in the embodiments herein can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely 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. In addition, the coupling or direct coupling or communication connection between the shown or discussed units may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. Furthermore, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0138] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A method for controlling a refrigerator, characterized in that, include: In the refrigerator's demand response mode, the initial power is calculated based on the target energy saving rate and the average power consumption in the adjacent stable period. Control the refrigerator to operate at the compressor frequency determined by the initial power, and calculate the temperature rise value of the cooling cycle; The refrigerator is controlled based on the temperature rise value of the cooling cycle.

2. The method according to claim 1, characterized in that, The refrigerator is controlled based on the temperature rise value of the cooling cycle, including: If the temperature rise during the cooling cycle is greater than or equal to the upper limit of the temperature rise, the refrigerator will exit the demand response mode. When the temperature rise continues to increase over multiple cooling cycles, the refrigerator is controlled to exit demand response mode. When the temperature rise value meets the dynamic stability condition for multiple consecutive refrigeration cycles, the operating frequency of the compressor is dynamically adjusted using a step size adaptive model.

3. The method according to claim 2, characterized in that, The upper limit of temperature rise is calculated in the following ways, including: Obtain the types of food stored inside the refrigerator compartment; Determine the upper limit of temperature rise based on the type of food stored inside the refrigerator compartment.

4. The method according to claim 2, characterized in that, The step-size adaptive model includes both a frequency reduction model and a frequency increase model. It dynamically adjusts the compressor's operating frequency, including: The compressor's operating frequency is dynamically adjusted by alternately using the frequency reduction model and the frequency increase model; The method of dynamically adjusting the compressor's operating frequency using the frequency reduction model includes controlling the compressor to reduce its frequency according to the frequency reduction step size output by the frequency reduction model when the temperature rise value of the current refrigeration cycle is lower than the upper limit of the temperature rise, and maintaining the current compressor frequency at the target time until the temperature rise value of the current refrigeration cycle reaches the upper limit of the temperature rise. The method of dynamically adjusting the operating frequency of the compressor using the frequency increase model includes controlling the compressor to increase the frequency according to the frequency increase step size output by the frequency increase model, so as to reduce the temperature rise value of the current refrigeration cycle to the lower limit of the temperature rise.

5. The method according to claim 1, characterized in that, The target energy saving rate is determined in the following ways: Use the initial energy saving rate as the target energy saving rate; or... The target energy efficiency rate is determined based on the initial energy efficiency rate, historical response records, and changes in refrigerator compartment settings.

6. The method according to any one of claims 1 to 5, characterized in that, Before the refrigerator operates in demand response mode, the method also includes: Obtain the first power value of the refrigerator in non-demand response mode; The power threshold is calculated based on the second power value of the refrigerator compressor when it is running at the lowest operating frequency and the target energy saving rate. When the first power value is greater than the power threshold, the refrigerator is controlled to operate in demand response mode.

7. The method according to claim 1, characterized in that, After controlling the refrigerator based on the temperature rise value of the cooling cycle, the method also includes: If the current time reaches the end of the peak period of the power grid, control the refrigerator to exit the demand response mode.

8. A device for controlling a refrigerator, characterized in that, include: The first calculation module is configured to calculate the initial power based on the target energy saving rate and the average power consumption in the adjacent stable period when the refrigerator is in operation demand response mode. The second calculation module is configured to control the refrigerator to operate at the compressor frequency determined by the initial power, and to calculate the temperature rise value of the refrigeration cycle. The control module is configured to control the refrigerator based on the temperature rise value of the cooling cycle.

9. A device for controlling a refrigerator, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to perform, when executing the program instructions, the method for controlling a refrigerator as described in any one of claims 1 to 7.

10. A refrigerator, characterized in that, include: Refrigerator body; The device for controlling a refrigerator as described in claim 8 or 9 is installed on the refrigerator body.

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