Control method of a refrigeration system, refrigerator, controller, and storage medium
By setting up cold storage materials in the refrigerator and precisely controlling the cooling mode according to electricity price differences, the problems of high electricity costs and temperature fluctuations in traditional refrigerators are solved, achieving energy-saving optimization and improved refrigeration effect.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- MIDEA BIOMEDICAL CO LTD
- Filing Date
- 2026-05-09
- Publication Date
- 2026-06-09
AI Technical Summary
Traditional refrigerator refrigeration systems fail to optimize scheduling based on peak and off-peak electricity price differences, resulting in high electricity costs, increased equipment wear and tear, and significant fluctuations in cabin temperature. Energy efficiency and temperature control performance need to be improved.
By setting up cold storage materials in the refrigerator and determining the time required for the cold storage materials to cool down to the target temperature during off-peak hours, the compressor is controlled to operate at high load during off-peak hours and at low load during peak hours. This precise control of the start and end of the cooling mode achieves energy-saving optimization.
While ensuring stable cabin temperature, it significantly reduces electricity costs during peak hours, improving the economic efficiency and refrigeration effect of the refrigeration system.
Smart Images

Figure CN122170607A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of refrigerator technology, and in particular to a control method for a refrigeration system, a refrigerator, a controller, and a storage medium. Background Technology
[0002] As a core home appliance for maintaining low-temperature storage, refrigerators rely primarily on the operation and regulation of the compressor to achieve stable temperature control within the refrigerator compartment. Traditional refrigerators generally employ a passive control strategy based on internal temperature thresholds, simply starting, stopping, or adjusting the compressor's speed according to changes in compartment temperature, maintaining temperature stability through periodic operation. However, with the current widespread implementation of time-of-use (TOU) electricity pricing, electricity prices during peak hours are significantly higher than during off-peak hours. Traditional refrigerators do not incorporate electricity price information into their operational decisions, continuing to operate randomly throughout the day according to a fixed temperature logic, unable to proactively shift load to off-peak hours, resulting in higher electricity costs and poor operational economy. Furthermore, inappropriate operational adjustments can exacerbate equipment wear and tear, causing fluctuations in compartment temperature, and the overall energy efficiency and temperature control effectiveness require further improvement. Summary of the Invention
[0003] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a control method for a refrigeration system, a refrigerator, a controller, and a storage medium, designed to ensure stable cabin temperature while achieving energy-saving optimization.
[0004] In a first aspect, embodiments of this application provide a control method for a refrigeration system, the refrigeration system including a refrigerated compartment, a cold storage module, and a compressor, wherein the cold storage module is disposed in the refrigerated compartment and is used to store cold storage materials, and the compressor is used to refrigerate the refrigerated compartment; the method includes: When the off-peak electricity period begins, the first material temperature of the cold storage material is obtained; Determine the first time required for the cold storage material to drop from the temperature of the first material to the target cold storage temperature of the cold storage material, and determine the start time of the cold storage mode of the refrigeration system based on the first time. Between the start time of the cold storage mode and the end time of the off-peak electricity period, the compressor is controlled to increase its operating load to a preset high level, and the second material temperature of the cold storage material is detected; When the peak power period is entered and the temperature of the second material is less than or equal to the target cold storage temperature, the energy-saving mode is activated, the second time required for the cold storage material to rise from the temperature of the second material to the set upper limit temperature is determined, and the end time of the energy-saving mode of the refrigeration system is determined based on the second time. Between the start time and the end time of the energy-saving mode, the compressor is controlled to reduce its operating load to a preset low level, and the cold storage material is used to cool the refrigerated compartment.
[0005] Secondly, embodiments of this application provide a refrigeration system, including a refrigerated compartment, a cold storage module, a compressor, and a controller. The cold storage module is disposed within the refrigerated compartment and is used to store cold storage materials. The compressor is used to refrigerate the refrigerated compartment. The controller, when entering a low-electricity period, acquires a first material temperature of the cold storage material, determines a first time required for the cold storage material to decrease from the first material temperature to a target cold storage temperature, determines the start time of the cold storage mode of the refrigeration system based on the first time, controls the compressor to increase its operating load to a preset high level between the start time of the cold storage mode and the end time of the low-electricity period, and detects a second material temperature of the cold storage material. When entering a peak-electricity period and the second material temperature is less than or equal to the target cold storage temperature, an energy-saving mode is activated, determines a second time required for the cold storage material to increase from the second material temperature to a set upper limit temperature, determines the end time of the energy-saving mode of the refrigeration system based on the second time, and controls the compressor to reduce its operating load to a preset low level between the start time of the energy-saving mode and the end time of the energy-saving mode, and refrigerates the refrigerated compartment using the cold storage material.
[0006] Thirdly, 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, wherein the processor executes the control method of the refrigeration system described in the first aspect when running the computer program.
[0007] Fourthly, embodiments of this application provide a refrigerator, including the refrigeration system described in the second aspect or the controller described in the third aspect.
[0008] Fifthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions for performing a control method for a refrigeration system as described in the first aspect above.
[0009] In a sixth aspect, embodiments of this application 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 a computer 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 computer device to perform the control method of the cooling system as described in the first aspect above.
[0010] According to the technical solution of the embodiments of this application, it has at least the following beneficial effects: The refrigeration system of this application includes a refrigerated compartment, a cold storage module, and a compressor, wherein the cold storage module is disposed in the refrigerated compartment and is used to store cold storage materials, and the compressor is used to refrigerate the refrigerated compartment; the method includes: when entering a valley electricity period, obtaining a first material temperature of the cold storage material; determining a first time required for the cold storage material to drop from the first material temperature to the target cold storage temperature of the cold storage material, and determining the start time of the cold storage mode of the refrigeration system based on the first time; between the start time of the cold storage mode and the end time of the valley electricity period, controlling the compressor to increase the operating load to a preset high level, and detecting a second material temperature of the cold storage material; when entering a peak electricity period and the second material temperature is less than or equal to the target cold storage temperature, determining a second time required for the cold storage material to rise from the second material temperature to a set upper limit temperature, and determining the end time of the energy-saving mode of the refrigeration system based on the second time; between the start time of the energy-saving mode and the end time of the energy-saving mode, controlling the compressor to reduce the operating load to a preset low level, and refrigerating the refrigerated compartment through the cold storage material. This application embodiment sets up a cold storage material and determines the first duration required for the cold storage material to cool down to the target cold storage temperature during off-peak electricity hours. This determines the start time of the cold storage mode during off-peak hours. After the start time of the cold storage mode, the compressor is controlled to increase its operating load so that the cold storage material cools down and stores cold energy during off-peak hours. When peak electricity hours begin, if the material temperature of the cold storage material meets the conditions, a second duration is determined based on the material temperature of the cold storage material to ensure that the cold storage material can continuously release the stored cold energy. The end time of the energy-saving mode is determined based on the second duration. This achieves a reduction in the compressor's operating load between the start time of peak electricity hours and the end time of the energy-saving mode, thereby achieving energy saving during peak electricity hours. By precisely controlling the start and end of different refrigeration modes of the refrigeration system, the refrigeration effect of the refrigeration system can be guaranteed while achieving energy saving.
[0011] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description
[0012] 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.
[0013] Figure 1 This is a schematic diagram of the structure of a refrigeration system provided in one embodiment of this application; Figure 2 This is a schematic diagram of the structure of a refrigeration system provided in another embodiment of this application; Figure 3 This is a schematic diagram of the structure of a refrigeration system provided in another embodiment of this application; Figure 4 This is a flowchart of a control method for a refrigeration system provided in one embodiment of this application; Figure 5 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; Figure 6 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; Figure 7 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; Figure 8 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; Figure 9 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; Figure 10 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; Figure 11 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; Figure 12 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; Figure 13 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; Figure 14 This is a schematic diagram of a controller for performing a control method for a refrigeration system according to an embodiment of this application. Detailed Implementation
[0014] 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.
[0015] 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 based on the orientation or positional relationship shown in 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.
[0016] 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.
[0017] 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.
[0018] In related technologies, refrigeration systems (such as refrigerators and freezers) are mainly used to continuously lower and maintain a low-temperature environment in an enclosed space to preserve food, refrigerate, freeze, inhibit bacterial growth, and extend the shelf life of items. They typically employ a vapor compression refrigeration cycle, mainly including a compressor, condenser, throttling element, and evaporator. The compressor, as the power core of the refrigeration cycle, draws in low-temperature, low-pressure refrigerant vapor from the evaporator, compresses it to form a high-temperature, high-pressure gas, and sends it to the condenser. In the condenser, the refrigerant releases heat to the outside and condenses into a liquid. After being depressurized and cooled by the throttling element, it enters the evaporator, where it absorbs heat to achieve cooling inside the cabinet. The refrigerant then turns back into vapor and is drawn back into the compressor, thus completing the cycle for continuous cooling. Existing refrigeration systems mostly employ a passive temperature control strategy based on the cabin temperature, controlling the compressor's start / stop or adjusting its speed only according to changes in cabin temperature, maintaining a constant temperature through periodic operation. This control mode does not incorporate peak-valley electricity price differences for optimized scheduling and cannot dynamically adjust the operating strategy according to different electricity prices at different times, making it difficult to achieve optimal electricity costs and maximize economic benefits.
[0019] Based on this, this application provides a control method for a refrigeration system. By setting a cold storage material in the refrigeration system, the first duration required for the cold storage material to cool down to the target cold storage temperature can be determined during off-peak electricity hours. Then, the start time of the cold storage mode during the off-peak electricity hours can be determined. After the start time of the cold storage mode, the compressor is controlled to increase its operating load so that the cold storage material cools down and stores cold energy during the off-peak electricity hours. When the peak electricity hours begin, if the material temperature of the cold storage material meets the conditions, a second duration for the cold storage material to release the stored cold energy can be determined based on the material temperature. The end time of the energy-saving mode is determined based on the second duration, thereby reducing the compressor operating load between the start time of the peak electricity hours and the end time of the energy-saving mode, thus improving the economic efficiency of the refrigeration system. By precisely controlling the start and end of different refrigeration modes of the refrigeration system, the refrigeration effect of the refrigeration system can be guaranteed while achieving optimal electricity costs.
[0020] The various embodiments of the refrigeration system of this application will be further described below with reference to the accompanying drawings.
[0021] like Figures 1 to 3 As shown, Figure 1 This is a schematic diagram of the structure of a refrigeration system provided in one embodiment of this application. Figure 2 This is a schematic diagram of the structure of a refrigeration system provided in another embodiment of this application. Figure 3 This is a schematic diagram of the structure of a refrigeration system provided in another embodiment of this application.
[0022] In one embodiment, the refrigeration system includes a refrigerated compartment 101, a compressor 102, and a cold storage module 103. The cold storage module 103 is disposed in the refrigerated compartment 101 and is used to store cold storage materials. The compressor 102 is used to refrigerate the refrigerated compartment 101.
[0023] It should be noted that the refrigerated compartment 101 can be a refrigerated compartment, an intermediate variable temperature compartment, or a freezer compartment, etc. The cold storage module 103 can be integrated with the refrigerated compartment or can be set up independently in the refrigerated compartment 101. When the compressor 102 cools the refrigerated compartment 101, it can simultaneously cool and store cold in the cold storage module 103.
[0024] Please see Figure 2 In one embodiment, the refrigeration system further includes a first temperature sensor 104 and a second temperature sensor 105, wherein the first temperature sensor 104 is used to detect the temperature of the refrigerated compartment, and the second temperature sensor 105 is used to detect the material temperature of the cold storage material.
[0025] In one embodiment, the cooling system further includes a third temperature sensor 106 for acquiring the ambient temperature.
[0026] Please see Figure 3 In one embodiment, the refrigeration system includes multiple refrigerated compartments 110 (including 1011 and 1012), which are interconnected. At least one of the refrigerated compartments 110 (such as 1011) is provided with at least one cold storage module 103 and a cooling capacity regulating element 107. The cooling capacity regulating element 107 is used to regulate the distribution of cooling capacity released by the cold storage module 103 among the different compartments. The cooling capacity regulating element 107 can be a solenoid valve, a fan, etc.
[0027] In one embodiment, the refrigeration system further includes a human-machine interface and communication module 108. The human-machine interface and communication module 108 includes a display screen and buttons or a touch interface, as well as a communication module. The display screen and buttons or the touch interface are used by the user to set energy-saving modes, target temperatures, and toggle the cold storage mode on / off; the communication module, such as Wi-Fi or Bluetooth, is used to obtain peak and off-peak electricity price information and for remote control.
[0028] Based on the structure of the refrigeration system in the above embodiments, the following presents various embodiments of the control method of the refrigeration system of this application.
[0029] like Figure 4 As shown, Figure 4 This is a flowchart of a control method for a refrigeration system provided in one embodiment of this application; the control method for the refrigeration system may include, but is not limited to, steps S101 to S105: S101, when the off-peak electricity period begins, obtain the first material temperature of the cold storage material; In one embodiment, off-peak electricity hours refer to periods with lower electricity prices as stipulated by the power supply department (e.g., 10:00 PM to 7:00 AM the next day). Electricity costs are low during these hours, making them suitable for driving the refrigeration system to perform cold storage operations in preparation for peak electricity release. The cold storage material is the medium used in the refrigeration system to store cold energy (e.g., gels, phase change materials, or aerosols, which are heat-absorbing and cooling materials), and its temperature directly reflects the current amount of cold energy stored. Obtaining the first material temperature involves collecting real-time temperature data through a temperature sensor pre-installed within the cold storage material's storage cavity. The collected temperature signal is then transmitted to the refrigeration system's controller. The controller filters and calibrates the temperature signal to obtain the accurate first material temperature. The core function of this step is to obtain the initial temperature state of the cold storage material, providing fundamental data for subsequent calculations of the required cold storage duration and determination of the cold storage mode start time. This ensures the accuracy of the cold storage operation and avoids insufficient or excessive cold storage due to deviations in the initial temperature data.
[0030] Optionally, in one embodiment, before obtaining the first material temperature of the cold storage material after entering the off-peak electricity period, steps S1011 to S1012 are further included: S1011, Obtain the activation status of the energy-saving function of the refrigeration system; In one embodiment, the current time period is detected in real time via a timing module. When the current time is detected to be the start time of the off-peak electricity period, the cold storage-related operations are not immediately initiated. Instead, an energy-saving function status detection command is triggered first to obtain the energy-saving function activation status of the refrigeration system. In a feasible implementation, the refrigeration system is equipped with a manual on / off button for the energy-saving function and an automatic on / off mode. The energy-saving function activation status includes two types: "on" and "off". The "on" status corresponds to the system entering the energy-saving operation mode of off-peak electricity cold storage and peak electricity release, while the "off" status corresponds to the system entering the normal refrigeration mode, without distinguishing between off-peak and peak electricity periods. The compressor operates normally as needed and does not perform off-peak electricity cold storage. The control system obtains the current energy-saving function activation status by reading the status parameters of the energy-saving function control module.
[0031] S1012, if the energy-saving function is enabled, then the step of obtaining the first material temperature of the cold storage material after entering the off-peak electricity period is executed.
[0032] Specifically, the control system determines the activation status of the energy-saving function. If the energy-saving function is detected to be activated, the system determines that it needs to enter the off-peak electricity storage mode. At this time, the system executes the step of "obtaining the first material temperature of the storage material after entering the off-peak electricity period". Subsequently, the system continues to execute the relevant control of the storage mode to ensure efficient storage of cold during the off-peak electricity period and prepare for energy-saving release of cold during the peak electricity period.
[0033] If the energy-saving function is detected as not being activated, it is determined that the system does not need to enter the off-peak electricity storage mode. At this time, no subsequent storage-related operations are performed, and the refrigeration system maintains the operation of the normal refrigeration mode. The compressor starts, stops, or adjusts the load as needed according to the temperature of the refrigerated compartment. There is no need to deliberately increase the load for storage during off-peak electricity hours, thus avoiding the increase of ineffective energy consumption.
[0034] S102, determine the first time required for the cold storage material to drop from the temperature of the first material to the target cold storage temperature of the cold storage material, and determine the start time of the cold storage mode of the refrigeration system based on the first time. In one embodiment, the target cold storage temperature is the standard temperature at which the cold storage material reaches the preset cold storage capacity, based on the phase change characteristics of the cold storage material, the refrigeration requirements of the cold storage compartment, and the preset temperature value for energy saving (e.g., -18℃, which can be adjusted according to the type of cold storage material and the actual application scenario). The determination of the first duration is based on the thermophysical properties of the cold storage material (e.g., specific heat capacity), the difference between the first material temperature and the target cold storage temperature, and the rated refrigeration power of the refrigeration system compressor. Using a preset heat exchange calculation formula (e.g., Q=cmΔt, where Q is the required refrigeration capacity, c is the specific heat capacity of the cold storage material, m is the mass of the cold storage material, and Δt is the temperature difference), the controller calculates the theoretical time required for the cold storage material to drop from the first material temperature to the target cold storage temperature. At the same time, the theoretical time is corrected by considering the actual operating conditions such as ambient temperature and heat loss in the refrigeration system pipelines to obtain the final first duration. The start time of the cold storage mode is determined by subtracting the first duration from the end time of the off-peak electricity period. That is, the start time of the cold storage mode = the end time of the off-peak electricity period - the first duration. This ensures that the cold storage material can reach the target cold storage temperature just before the end of the off-peak electricity period, making full use of the low-priced electricity during the off-peak electricity period to complete the cold storage, avoiding the need to consume high-priced peak electricity for cold storage after the end of the off-peak electricity period, and minimizing electricity costs.
[0035] S103, between the start time of the cold storage mode and the end time of the off-peak electricity period, control the compressor to increase the operating load to a preset high level, and detect the second material temperature of the cold storage material; In one embodiment, during the period from the start of the cold storage mode to the end of the off-peak electricity period, the refrigeration system enters the cold storage mode, controlling the compressor to increase its operating load to a preset high level. The preset high level is a high-load operating level (e.g., 80%-100% of the compressor's rated power) preset based on the compressor's performance parameters. Controlling the compressor to this level allows it to output a larger cooling capacity, accelerating the cooling rate of the cold storage material and ensuring the cold storage task is completed within the first time period, avoiding insufficient cooling capacity leading to substandard cold storage. During the cold storage process, the temperature of the second material is monitored. Temperature data of the cold storage material is collected in real time by a temperature sensor. The controller receives this temperature data in real time and compares it with the target cold storage temperature to determine whether the cold storage operation is complete. Simultaneously, the compressor's operating load can be dynamically fine-tuned based on the rate of temperature change. For example, if the temperature drops too quickly, the level can be appropriately reduced to avoid energy waste; if the temperature drops too slowly, the high level can be maintained or briefly increased to an overload level to ensure the stability and accuracy of the cold storage process.
[0036] S104, when entering the peak power period and the temperature of the second material is less than or equal to the target cold storage temperature, the energy-saving mode is activated, the second time required for the cold storage material to rise from the temperature of the second material to the set upper limit temperature is determined, and the end time of the energy-saving mode of the refrigeration system is determined based on the second time. In one embodiment, peak electricity hours refer to periods with higher electricity prices as stipulated by the power supply department (e.g., from 7:00 AM to 10:00 PM). Electricity costs are high during these periods, and energy consumption of the refrigeration system can be reduced by releasing cold from the storage material. Upon entering a peak electricity hour, the system first determines whether the temperature of the second material is less than or equal to the target storage temperature to decide whether to activate the energy-saving mode. This determination step confirms that the storage operation has been completed and that the storage material has sufficient cooling capacity for peak electricity release, ensuring the refrigeration effect of the cold storage compartment. If the temperature of the second material is greater than the target storage temperature, it indicates insufficient storage, and the energy-saving mode is not activated; the refrigeration system operates normally. Specifically, when the refrigeration system is operating normally, the compressor's operating load is controlled according to the compartment temperature of the cold storage compartment to maintain the temperature within the user-set preset temperature range.
[0037] The set upper limit temperature is the preset maximum allowable temperature of the refrigerated compartment, for example, 4°C, adjusted according to the preservation requirements of the refrigerated items. When the cold storage material reaches this temperature, the amount of cold energy it can release is insufficient to meet the refrigeration needs of the refrigerated compartment, requiring the compressor to switch from energy-saving mode to normal refrigeration. The determination of the second duration is similar to the calculation logic of the first duration. The controller calculates the theoretical time required for the cold storage material to rise from the second material temperature to the set upper limit temperature based on the thermophysical properties of the cold storage material, the difference between the second material temperature and the set upper limit temperature, and the heat load of the refrigerated compartment (such as heat leakage from the compartment body and heat dissipation from the cargo). After correction based on actual ambient temperature and other operating conditions, the final second duration is obtained. The determination of the energy-saving mode end time is based on the start time of the peak power period, plus the second duration, i.e., energy-saving mode end time = peak power start time + second duration. This ensures that the cold energy released by the cold storage material can be maintained until the end of the energy-saving mode, during which time the compressor does not need to be started or only operates at low load, achieving energy saving during the peak power period.
[0038] S105, between the start time of the energy-saving mode and the end time of the energy-saving mode, the compressor is controlled to reduce its operating load to a preset low level, and the cold storage material is used to cool the refrigerated compartment.
[0039] In one embodiment, the start time of the energy-saving mode is also the peak power start time. The time period from the start time to the end time of the energy-saving mode is the core period for the release of cold from the cold storage material and the energy-saving operation of the refrigeration system. The preset low level is a low-load operation level (such as 20%-30% of the compressor's rated power) preset according to the minimum energy consumption requirements of the refrigeration system. Controlling the compressor to this level can minimize power consumption during peak power periods, maintaining only the minimum operating state of the compressor, and helping to maintain the stability of the cold release of the cold storage material. Cooling the refrigerated compartment through the cold storage material means that the cold storage material releases cold energy during its own temperature rise. The cold energy is transferred to the refrigerated compartment through the heat exchange pipeline of the refrigeration system, reducing the temperature inside the compartment and meeting the preservation requirements of the refrigerated items.
[0040] Optionally, the operating load is directly proportional to at least one of the compressor's operating power, operating frequency, and start-stop frequency. The higher the compressor's operating power, the faster its operating frequency, or the more frequent its start-stop frequency, the greater its operating load, and vice versa. This correspondence can be used for precise control of the compressor load.
[0041] Optionally, during this period, the controller monitors the temperature of the refrigerated compartment and the temperature of the cold storage material in real time. If the temperature inside the compartment is higher than the set value, the compressor operating load can be appropriately increased to assist in refrigeration. If the temperature of the cold storage material rises to the set upper limit temperature in advance, the energy-saving mode can be ended in advance, and the compressor can be restored to normal operation to ensure that the temperature of the refrigerated compartment is always maintained within the preset range.
[0042] In this embodiment, the first material temperature of the cold storage material is obtained during off-peak hours. Based on the difference between the first material temperature and the target cold storage temperature, the first duration required for cold storage is calculated, thereby determining the start time of the cold storage mode and ensuring that the cold storage operation aligns with off-peak hours. During the cold storage mode, the compressor is controlled to operate at high load to quickly complete the cold storage and the second material temperature at the end of the cold storage is detected. During peak hours, after the cold storage meets the target, the second duration of the cold release from the cold storage material is calculated to determine the end time of the energy-saving mode. During the energy-saving mode, the compressor is controlled to operate at low load, relying on the cold release from the cold storage material to meet the refrigeration requirements. By accurately calculating the duration required for cold storage and cold release, the start and end times of the cold storage mode and energy-saving mode are precisely controlled, ensuring that the temperature of the refrigerated compartment is always maintained within a preset range, meeting the preservation requirements of the refrigerated objects. By utilizing the cold energy stored during off-peak hours to replace the high-load operation of the compressor during peak hours, the electricity cost during peak hours is significantly reduced, while ensuring the refrigeration effect of the refrigeration system, achieving a balance between energy saving and refrigeration needs.
[0043] like Figure 5 As shown, Figure 5 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; the control method for the refrigeration system may include, but is not limited to, steps S201 to S202: S201, determine the first time required for the temperature of the first material to drop to the target cold storage temperature of the cold storage material in a preset mapping table; In one embodiment, the preset mapping table is a pre-stored table in the refrigeration system controller that corresponds to different first material temperatures, different target cold storage temperatures, and first durations. This mapping table is generated in advance based on a large amount of experimental data, the thermophysical properties of the cold storage materials, and the actual operating parameters of the refrigeration system. For example, it can cover the first durations corresponding to common combinations of first material temperatures (such as -5℃, 0℃, 5℃, etc.) and target cold storage temperatures (such as -20℃, -18℃, -15℃, etc.), and the corresponding duration data are calibrated for different ambient temperature ranges (such as -10℃~0℃, 0℃~10℃, 10℃~25℃) to ensure the accuracy of the first duration query under different operating conditions.
[0044] Specifically, after obtaining the initial material temperature and the preset target cooling temperature, the controller first determines the current ambient temperature range. Then, it locates the entry in the preset mapping table that perfectly matches the current initial material temperature, target cooling temperature, and ambient temperature range. The duration data corresponding to this entry is the first time required for the cooling material to drop from the initial material temperature to the target cooling temperature. For example, when the initial material temperature is 5℃, the target cooling temperature is -18℃, and the ambient temperature is 20℃, consulting the preset mapping table yields a corresponding first duration of 4 hours. When calibrating this duration, factors such as pipeline heat loss and compressor refrigeration efficiency under operating conditions can be incorporated. Therefore, no additional complex calculations are required when looking up the table, allowing for quick and accurate acquisition of the first duration and improving control response speed.
[0045] S202, determine the start time of the cold storage mode of the refrigeration system based on the end time of the off-peak electricity period and the first duration.
[0046] After determining the first duration, the start time of the cooling system's cold storage mode is calculated and determined based on the end time of the off-peak electricity period and the first duration. The sum of the cold storage mode start time and the first duration must be less than or equal to the end time of the off-peak electricity period to ensure that the cold storage operation can be fully completed within the off-peak electricity period, avoiding the use of peak electricity periods for cold storage. The specific calculation method is: Cold storage mode start time = Off-peak electricity period end time - First duration. If the calculated cold storage mode start time is earlier than the start time of the off-peak electricity period, then the start time of the off-peak electricity period is used as the cold storage mode start time, further ensuring that the cold storage operation is performed within the off-peak electricity period.
[0047] like Figure 6 As shown, Figure 6 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; the control method for the refrigeration system may include, but is not limited to, steps S301 to S302.
[0048] S301, between the start time of the cold storage mode and the end time of the off-peak electricity period, control the compressor to increase the operating load to a preset high level, and detect the second material temperature of the cold storage material; In one embodiment, between the start time of the cold storage mode and the end time of the off-peak electricity period, the compressor is controlled to increase its operating load to a preset high level to ensure that the compressor operates in a highly efficient cold storage state and quickly transfers cold energy to the cold storage material within the cold storage module. It is understood that since the temperature rise of the cold storage material may fluctuate, it may not reach the target cold storage temperature until before or after the end time of the off-peak electricity period. Therefore, by real-time detection of the secondary material temperature of the cold storage material, more accurate compressor control can be achieved.
[0049] S302, if the temperature of the second material reaches the target cold storage temperature, the compressor is controlled to adjust its operating load to a preset heat preservation level so that the cold storage material is maintained at the temperature of the second material until the end of the off-peak electricity period.
[0050] In one embodiment, if the temperature of the second material is determined to have reached the target cold storage temperature, a load adjustment command is immediately sent to control the compressor to adjust from a preset high setting to a preset insulation setting. After the compressor switches to the preset insulation setting, it continues to operate at a low load, outputting only the minimum cooling capacity required to maintain the temperature of the cold storage material, avoiding energy waste due to excessively low material temperature, and preventing temperature rise from affecting subsequent cooling effects. This insulation state continues to operate until the end of the off-peak electricity period.
[0051] In this embodiment, by detecting the temperature of the second material of the cold storage material in the cold storage mode, further graded control of the compressor load is achieved, realizing efficient cold storage and precise heat preservation during off-peak electricity periods, taking into account both cold storage effect and energy saving.
[0052] like Figure 7 As shown, Figure 7 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; the control method for the refrigeration system may include, but is not limited to, steps S401 to S403.
[0053] S401, the required cooling capacity of the cold storage material is determined based on the temperature difference between the first material temperature and the target cold storage temperature, the specific heat capacity of the cold storage material, and the mass of the cold storage material. In one embodiment, the first duration can be obtained not only by looking up a table, but also by the controller calculating it using a set formula. The required cooling capacity is set as follows: Its value is , The first material temperature, Let C be the target cold storage temperature, C be the specific heat capacity of the cold storage material, and M be the mass of the cold storage material. Using formula calculation instead of fixed table lookup allows for adaptation to different initial temperatures, environments, and equipment configurations, eliminating the need for frequent modifications to the preset mapping table and enhancing system versatility and robustness.
[0054] S402, determine the first duration based on the required cooling capacity, the rated cooling power of the compressor, and the equivalent heat transfer efficiency coefficient between the cold storage material and the evaporator; In one embodiment, after determining the required cooling capacity, a first duration is determined based on the required cooling capacity, the compressor's rated cooling power, and the equivalent heat transfer efficiency coefficient between the cold storage material and the evaporator. Specifically, the first duration is set as... The calculation formula is as follows:
[0055] in, For the required cooling capacity, Pcomp is the equivalent heat transfer efficiency coefficient between the cold storage material and the evaporator, and Pcomp is the rated refrigeration power of the compressor.
[0056] S403, determine the start time of the cold storage mode of the refrigeration system based on the end time of the off-peak electricity period and the first duration; the sum of the start time of the cold storage mode and the first duration is less than or equal to the end time of the off-peak electricity period.
[0057] Please refer to step S202 in the above-described embodiment for details, which will not be repeated here.
[0058] This application embodiment accurately calculates the required cooling capacity based on the temperature difference, specific heat capacity, and mass of the cold storage material, and determines the first duration required for cold storage by combining the compressor's rated cooling power and equivalent heat transfer efficiency coefficient. This makes the duration calculation more consistent with the actual operating conditions of the system, improving the accuracy and rationality of control parameters. At the same time, by determining the start time of the cold storage mode in reverse by using the end time of off-peak electricity, it can avoid the problems of insufficient cold storage or excessive cooling while ensuring that the cold storage process makes full use of off-peak electricity, effectively improving energy saving and operating economy, and enhancing the overall control accuracy and stability of the refrigeration system.
[0059] like Figure 8 As shown, Figure 8 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; the control method for the refrigeration system may include, but is not limited to, steps S501 to S503.
[0060] S501, set the first time required for the cold storage material to drop from the first material temperature to the target cold storage temperature and the second time required for the cold storage material to rise from the target cold storage temperature to the set upper limit temperature as the optimization targets, and generate a first population containing multiple individuals; wherein, each individual represents a possible first time and second time scheme. In one embodiment, the first duration and the second duration can be calculated using a genetic algorithm (GA). It should be noted that since the first duration and the second duration are searched together by the algorithm, the temperature of the second material has not yet been measured. Since, ideally, cooling begins when the temperature of the cold storage material is at the target cold storage temperature, the temperature of the second material is selected as the target cold storage temperature.
[0061] The first time required for the cold storage material to drop from the first material temperature to the target cold storage temperature, and the second time required for the cold storage material to rise from the target cold storage temperature to the set upper limit temperature are set as optimization objectives. The optimization decision variables are constructed as: x=[Δtcool,Δtrelease], where Δtcool corresponds to the first time and Δtrelease corresponds to the second time.
[0062] During the initialization phase of the genetic algorithm, an initial population of N individuals is randomly generated, denoted as the first population. Each individual represents a possible combination of a first duration and a second duration. The i-th individual in generation 0 can be represented as: , i=1,...,N.
[0063] Each individual corresponds to a control scheme for the duration of cold storage and cold release.
[0064] S502, calculate the fitness function value of each individual based on the pre-constructed objective function; the objective function includes the energy consumption cost during the control cycle and the cumulative cabin temperature deviation during the control cycle; In one embodiment, an objective function is constructed that comprehensively considers both economy and temperature control accuracy: .
[0065] In the formula, , The weighting coefficients are used to balance energy efficiency with cabin temperature stability; Cenergy(x) represents the system energy cost during the control period; and Etemp(x) represents the cumulative temperature deviation of the refrigerated cabin during the control period. The control period can be determined based on actual needs, such as choosing one day.
[0066] Individuals in the g-th generation population Substituting into the objective function, we obtain the objective function value corresponding to the k-th algorithm iteration cycle: .
[0067] Further construct the fitness function To achieve evolutionary selection:
[0068] It is understandable that the smaller the fitness function value, the lower the energy consumption and the smaller the temperature control deviation; conversely, the larger the fitness function value, the higher the probability that the individual will be selected.
[0069] S503, perform genetic operations on the first population to obtain a second population containing new individuals, determine the second population as the first population, and proceed to the step of calculating the fitness function value of each individual based on the pre-constructed objective function until the fitness function value converges or the number of iterations of the genetic operation reaches a threshold, and select the first duration and second duration of the individual with the smallest fitness function value in the first population.
[0070] In one embodiment, performing genetic operations on the first population may include selection, crossover, and mutation. For example, a roulette wheel strategy is first employed, based on the fitness function value... Select the best parent individuals; then perform a real crossover operation on each pair of parent individuals to generate offspring individuals, for example: .in This is the cross coefficient.
[0071] To improve global search capabilities and prevent premature convergence of the algorithm, a small-scale random mutation perturbation is applied to the offspring individuals:
[0072]
[0073] In the formula 1. 2 represents a small random number, and the mutation results are subject to boundary constraints and pruning to ensure that the duration is within a reasonable range.
[0074] The mutated offspring are used as a new population, i.e., the second population, and the second population is assigned the value of the first population. The fitness function value is recalculated and the iteration is repeated until the termination condition is met, such as the number of iterations reaching the preset maximum value gmax, or the change in the fitness function value being less than the set threshold.
[0075] After the iteration is complete, select the optimal individual that minimizes the objective function from the current first group:
[0076] The optimal individual's corresponding cooling time and storage duration As the optimized control parameters for this control cycle, the first duration and the second duration are obtained.
[0077] This embodiment uses a genetic algorithm to treat the cold storage duration and the cold release duration as optimization variables, constructs a multi-objective optimization function that takes into account both energy consumption costs and cabin temperature deviations, and achieves iterative optimization through genetic operations. It can adaptively obtain the optimal combination of durations under different operating conditions. Compared with fixed lookup table or experience-based setting methods, it can significantly reduce operating costs under peak and off-peak electricity pricing scenarios while ensuring stable refrigeration cabin temperature, improve the overall control accuracy and energy-saving effect of the refrigeration system, and the algorithm has strong robustness and wide applicability.
[0078] like Figure 9 As shown, Figure 9 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; the control method for the refrigeration system may include, but is not limited to, steps S601 to S604.
[0079] S601, between the start time of the cold storage mode and the end time of the off-peak electricity period, control the compressor to increase the operating load to a preset high level; In one embodiment, when the refrigeration system reaches the start time of the cold storage mode, the controller sends a load increase command to the compressor, controlling the compressor to quickly increase from the current operating level (if it is in standby or a preset low level) to a preset high level. At this time, the compressor outputs maximum cooling capacity, accelerating the cooling rate of the cold storage material and reserving adjustment space for subsequent corrections during the first duration. The preset high level is a high-load operating level of the compressor pre-set in the refrigeration system controller. Its level parameters are calibrated based on the compressor's rated refrigeration power, the cooling requirements of the cold storage material, and the heat dissipation characteristics of the refrigeration system's piping. For example, it can be 80% to 100% of the compressor's rated power, or it can be achieved by increasing the compressor's operating duty cycle.
[0080] S602, obtain the ambient temperature of the environment where the refrigeration system is located, the number of times the door of the refrigeration compartment is opened, the load of the refrigerated object in the refrigeration compartment, and the actual temperature rise curve of the cold storage material; In one embodiment, since various factors may cause changes in the temperature rise of the cold storage material during operation in the cold storage mode, multiple factors can be collected and the first time it takes for the cold storage material to reach the target cold storage temperature can be corrected, thereby more accurately controlling the compressor operation. Specifically, the influencing factors (or correction parameters) include the ambient temperature of the refrigeration system environment, the number of times the refrigeration compartment door is opened, the load of the refrigerated object in the refrigeration compartment, and the actual temperature rise curve of the cold storage material.
[0081] The ambient temperature can be collected by an ambient temperature sensor installed on the outer casing of the refrigeration system. This sensor detects the temperature of the external environment where the refrigeration system is located in real time.
[0082] The number of times the refrigerated compartment door is opened is collected by a door magnetic sensor installed on the hinge of the refrigerated compartment door. When the door switches from the closed state to the open state, the door magnetic sensor sends a trigger signal to the controller. The controller counts the trigger signals and accumulates the number of times the door is opened during the cold storage mode operation. The more times the door is opened, the more cold air is lost in the refrigerated compartment, which will indirectly affect the cooling efficiency of the cold storage material.
[0083] The load of refrigerated objects in the refrigerated compartment is collected by a weight sensor installed at the bottom of the refrigerated compartment. The weight sensor is pre-calibrated with weight thresholds corresponding to four load levels: no load, light load, medium load, and heavy load. The total weight of the refrigerated objects collected is compared with the thresholds to determine the corresponding load level and transmit it to the controller. The larger the load of the refrigerated objects, the greater their heat dissipation (or heat absorption), and the more significant the impact on the cooling rate of the cold storage materials.
[0084] The actual temperature rise curve of the cold storage material is obtained by collecting temperature data of the cold storage material in real time through a temperature sensor installed in the storage cavity of the cold storage material. For example, the sampling frequency is set to 1 time / 5 minutes. Then the controller correlates the collected temperature data with the collection time to generate the actual temperature rise curve of the cold storage material (the horizontal axis is time and the vertical axis is temperature). This curve reflects the temperature change law of the cold storage material under the current operating conditions. If the actual temperature rise rate is higher than the preset rate, it means that the cold storage efficiency is lower than expected, and the first time duration needs to be adjusted to ensure that the cold storage meets the standard.
[0085] S603, the first duration is corrected based on the ambient temperature, the number of door openings, the load of the refrigerated object, and the actual temperature rise curve to obtain the corrected first duration; In one embodiment, ambient temperature, number of door openings, load of the refrigerated object, and actual temperature rise curve are all actual operating conditions that affect the cold storage efficiency. Therefore, the first duration needs to be corrected based on these factors to ensure that the cold storage material reaches the target cold storage temperature just before the end of the off-peak electricity period. For example, the controller pre-stores correction coefficients corresponding to each influencing factor. Each factor is divided into different levels according to the actual detection value, and different levels correspond to different correction coefficients. For example, a correction coefficient > 1 indicates that the first duration needs to be extended, and a correction coefficient < 1 indicates that the first duration needs to be shortened.
[0086] The higher the ambient temperature, the lower the heat dissipation efficiency of the refrigeration system, the slower the cooling of the cold storage material, and the larger the correction coefficient. The more frequently the door is opened, the more cold energy is lost, the slower the cooling of the cold storage material, and the larger the correction coefficient. The greater the load, the more heat is absorbed, the slower the cooling of the cold storage material, and the larger the correction coefficient. The actual temperature rise curve is compared with the preset temperature rise curve (the temperature rise curve marked in the mapping table). If the actual temperature rise rate is faster than the preset rate, the correction coefficient is increased. The corrected first duration = initial first duration × correction coefficient corresponding to each influencing factor.
[0087] S604, adjust the operating load of the compressor according to the modified first duration.
[0088] In one embodiment, the core purpose of adjusting the compressor's operating load is to ensure that the cold storage material can drop from its current temperature to the target cold storage temperature within the corrected first time period, while also optimizing energy consumption and avoiding unnecessary energy waste. If the corrected first time period is less than or equal to the current remaining cold storage time (the time between the current time and the end of the off-peak electricity period), it indicates that the current remaining time is sufficient to complete the cold storage. To avoid energy waste, the controller controls the compressor to appropriately reduce its operating load from the preset high level (e.g., to 80%~90% of the high level) to maintain a steady cooling of the cold storage material, ensuring that the target temperature is reached within the corrected first time period, while reducing energy consumption during the off-peak electricity period. If the corrected first time period is longer than the current remaining cold storage time, it indicates that the current remaining time is insufficient, and the cold storage rate needs to be accelerated. The controller controls the compressor to further increase its operating load, shortening the cooling time of the cold storage material, ensuring that the target cold storage temperature is reached before the end of the off-peak electricity period.
[0089] like Figure 10 As shown, Figure 10 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; the control method for the refrigeration system may include, but is not limited to, steps S701 to S702.
[0090] S701, when entering the peak power period and the temperature of the second material is less than or equal to the target cold storage temperature, the energy-saving mode is activated, and the second time required for the cold storage material to rise from the temperature of the second material to the set upper limit temperature is determined in the preset mapping table; In one embodiment, when the current time is detected to be the peak power start time and the collected second material temperature is less than or equal to the target cold storage temperature, a preset mapping table stored in the system is called. Based on the current second material temperature, the corresponding heating time in the mapping table is located. This time is the second time required for the cold storage material to rise from the current second material temperature to the set upper limit temperature.
[0091] S702, the sum of the peak power start time of the peak power period and the second duration is determined as the end time of the energy-saving mode of the refrigeration system.
[0092] The control system acquires the peak power start time during peak power periods, calls the time calculation function of the timing module, and sums the peak power start time with the second duration to obtain the end time of the energy-saving mode. During the period from the peak power start time to the end time of the energy-saving mode, the refrigeration system remains in energy-saving mode, relying on the cold energy released by the stored cold material to maintain the set temperature of the refrigerated compartment. Simultaneously, the compressor operates at a preset low speed, effectively avoiding the increased energy costs caused by high electricity prices during peak periods. When the end time of the energy-saving mode is reached, the temperature of the stored cold material rises to the set upper limit temperature and can no longer effectively release cold. The control system triggers the end of the energy-saving mode, controlling the compressor to enter normal refrigeration mode to ensure a stable temperature in the refrigerated compartment.
[0093] like Figure 11 As shown, Figure 11 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; the control method for the refrigeration system may include, but is not limited to, steps S801 to S803.
[0094] S801, when entering the peak power period and the temperature of the second material is less than or equal to the target cold storage temperature, the energy-saving mode is activated, and the releaseable cold capacity of the cold storage material is determined based on the temperature difference between the set upper limit temperature and the temperature of the second material, the specific heat capacity of the cold storage material and the mass of the cold storage material. In one embodiment, when the control system detects that the current period has entered the peak power period and the second material temperature of the cold storage material is less than or equal to the preset target cold storage temperature, it determines that the cold storage material has sufficient cold capacity and controls the refrigeration system to enter the energy-saving mode.
[0095] Based on the temperature range and thermophysical parameters of the cold storage material, the calculation is performed on the cold storage material from the second material temperature (set as the target cold storage temperature). Heat to the set upper limit temperature ( The amount of cold air that can be released to the outside. Assume... The formula for calculating the available cooling capacity to be released is:
[0096] S802, determine the second duration based on the releasable amount, the rated cooling power of the compressor, and the average cooling load required to maintain the cabin temperature; In one embodiment, after obtaining the releasable cold energy, the second duration for which the cold storage material can maintain the cabin temperature through natural cold release is calculated, taking into account the cold storage heat exchange characteristics and the actual cold energy requirements of the refrigerated compartment. Let... The second duration is calculated using the following formula:
[0097] Where Pload,avg is the average cooling load required to maintain the cabin temperature, and μ is the equivalent heat transfer efficiency coefficient between the cold storage material and the evaporator.
[0098] S803, the sum of the peak power start time of the peak power period and the second duration is determined as the end time of the energy-saving mode of the refrigeration system.
[0099] Please refer to step S702 in the above embodiment of the specification for details, which will not be repeated here.
[0100] like Figure 12 As shown, Figure 12 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; the control method for the refrigeration system may include, but is not limited to, steps S901 to S903.
[0101] S901, obtain the ambient temperature of the environment where the refrigeration system is located, the number of times the door of the refrigeration compartment is opened, the load of the refrigerated object in the refrigeration compartment, and the actual temperature rise curve of the cold storage material; In one embodiment, after the peak power period begins and the control system has determined the initial second duration, the control system synchronously activates each detection module to acquire four types of correction parameters: the ambient temperature of the environment where the refrigeration system is located, the number of times the refrigerated compartment door is opened, the load of the refrigerated object in the refrigerated compartment, and the actual temperature rise curve of the stored cold material. For a detailed explanation of these parameters, please refer to step S602 in the embodiment described above. It is understood that after determining the first and second durations, correction parameters (multiple factors) can be acquired in real time to correct the first and second durations respectively.
[0102] S902, the second duration is corrected based on the ambient temperature, the number of door openings, the load of the refrigerated object, and the actual temperature rise curve to obtain the corrected second duration; In one embodiment, a built-in correction algorithm is used to correct the initial second duration based on various correction parameters. Each correction parameter can be pre-set with a corresponding correction coefficient based on its specific value. For example, each factor is divided into different levels based on actual detection values, and different levels correspond to different correction coefficients. Specifically, the higher the ambient temperature, the lower the heat dissipation efficiency of the refrigeration system, and the slower the cooling of the cold storage material, resulting in a larger correction coefficient. The more times the door is opened, the more cold energy is lost, and the slower the cooling of the cold storage material, resulting in a larger correction coefficient. The greater the load, the more heat is absorbed, and the slower the cooling of the cold storage material, resulting in a larger correction coefficient. The actual temperature rise curve is compared with the preset temperature rise curve (the temperature rise curve marked in the mapping table). If the actual temperature rise rate is faster than the preset rate, the correction coefficient is increased. The corrected second duration = initial second duration × correction coefficient corresponding to each influencing factor.
[0103] S903, the end time of the energy-saving mode is corrected according to the corrected second duration.
[0104] In one embodiment, the peak power start time is summed with the corrected second duration to obtain the updated energy-saving mode end time. This avoids the premature depletion of cooling capacity of the cold storage material, which could lead to excessive refrigeration temperature, and also avoids the waste of remaining cooling capacity of the cold storage material, thus achieving more precise energy-saving control.
[0105] Understandably, the actual temperature rise curve can be updated in real time. If subsequent operating conditions change (such as a reduction in the number of times the door is opened or a drop in ambient temperature), the correction process can be triggered again to dynamically adjust the end time of the energy-saving mode.
[0106] Optionally, in one embodiment, reducing the operating load is achieved by controlling the operating frequency of the compressor. Between the start time and end time of the energy-saving mode, controlling the compressor to reduce its operating load to a preset low level includes: S1001, between the start time of the energy-saving mode and the end time of the energy-saving mode, detect the temperature of the third material of the cold storage material; In one embodiment, between the start time and the end time of the energy-saving mode, the control system continuously activates the temperature detection module to collect the real-time temperature of the cold storage material and defines this temperature as the third material temperature, so as to ensure accurate monitoring of the temperature change during the cold release process of the cold storage material.
[0107] S1002, the operating frequency of the compressor is determined based on the difference between the temperature of the third material and the preset upper limit temperature, and the operation of the compressor is controlled based on the operating frequency.
[0108] In one embodiment, a specific method for determining the compressor's operating frequency is provided. The operating frequency is dynamically adjusted based on the difference between the temperature of the third material and the preset upper limit temperature. Based on this operating frequency, the compressor is controlled to operate at a preset low speed, achieving synergy between the release of cold from the cold storage material and the supplemental cooling by the compressor. This ensures stable temperature in the refrigerated compartment while minimizing energy consumption during peak power periods.
[0109] The operating frequency control can be achieved through a frequency converter drive circuit.
[0110] For example, the temperature difference range between the third material and the preset upper limit temperature and the corresponding operating frequency are set through experiments. When the temperature difference between the third material and the preset upper limit temperature is ≥5.0℃, the compressor operating frequency is set to 15Hz (lowest frequency setting); when the difference is between 3.0-4.9℃, the compressor operating frequency is set to 20Hz; when the difference is between 1.0-2.9℃, the compressor operating frequency is set to 25Hz; when the difference is between 0.0-0.9℃, the compressor operating frequency is set to 30Hz (highest frequency setting).
[0111] Optionally, in one embodiment, the refrigeration control system can determine the start time of the cold storage mode and the end time of the energy-saving mode through a reinforcement learning agent. For example, based on real-time collected state variables (ambient temperature, cabin temperature, door opening frequency, load estimation, cold storage material status, electricity price period, etc.), the system outputs compressor start / stop and mode switching decisions, thereby implicitly determining the start time of the cold storage mode and the end time of the energy-saving mode. During the training phase, the agent generates the immediate reward or cost obtained by taking a certain action in the current state (vector), updates the network with the goal of maximizing the immediate reward, trains the agent, and finally uses this agent to determine the start time of the cold storage mode and the end time of the energy-saving mode.
[0112] The intelligent control module can be equipped with a state recognition unit to fuse multiple sensor data and estimates, constructing a state vector s(t) for use in reinforcement learning algorithms. The state vector s(t) includes, but is not limited to, the following parameters: Environmental and operating condition related variables: Ambient temperature Number of times / frequency of door opening (e.g., number of door openings in the last hour or door opening frequency per unit time), load estimation (Can be confirmed based on weighing sensors, user input, etc.)
[0113] State variables of the compartment and stored cold materials: refrigerated compartment temperature Equivalent temperature of cold storage materials (Can be a directly measured value or an estimated value from a thermodynamic model), remaining cold storage capacity of the cold storage material. .
[0114] Electricity price and time information, such as: current time t, current time period electricity price p(t), {Off-peak electricity, average electricity, peak electricity}, remaining time until the start / end of off-peak electricity. relative temperature deviation wait.
[0115] In implementation, two approaches can be adopted, assuming the start time of the cold storage mode is k and the end time of the energy-saving mode is j: Implicit k and j optimization: Instead of directly using k and j as explicit control variables, the agent automatically learns "when to turn on the cooling system and when to reduce the frequency of operation" during off-peak hours. The start and end times of centralized cooling are naturally formed from the strategy, which statistically correspond to k and j.
[0116] Explicit k and j optimization: k and j are mapped to adjustable parameters, and the agent outputs fine-tuning actions on k and j (such as advancing / delaying by a certain number of time steps). The control module updates the specific values of k and j in real time based on the accumulated adjustment.
[0117] To guide the reinforcement learning algorithm to achieve energy savings and lifespan optimization while satisfying temperature constraints, an immediate reward r(t) is set, for example: .in, The temperature deviation penalty at time t is generated when the cabin temperature exceeds the allowable range or deviates from the set value. The greater the temperature deviation, the greater the penalty. Let t be the electricity cost / electricity expense at time t. The penalty for frequent compressor switching at time t is increased each time the compressor starts / stops, shifts gears, or undergoes significant frequency changes. α, β, and γ are three weighting coefficients, selected according to actual needs, or obtained through training to obtain hyperparameters.
[0118] In one embodiment of this application, in order to improve the adaptability of the cold storage time and the cold release time under complex operating conditions, a reinforcement learning algorithm is used to dynamically correct the theoretical time, so as to achieve comprehensive optimization of energy saving effect, temperature control accuracy and equipment life.
[0119] First, calculate the theoretical durations of the cold storage phase and the cold release phase, respectively. The theoretical cold storage duration Δt_cool,th is expressed as: Δt_cool,th = Q_cool / (μ P_comp), where Q_cool is the required cooling capacity of the cold storage material, Q_cool=C M (T_cur T_target), C is the specific heat capacity of the cold storage material, M is the mass of the cold storage material, T_cur is the current temperature of the cold storage material, T_target is the target cold storage temperature; μ is the equivalent heat transfer efficiency coefficient between the cold storage material and the evaporator; P_comp is the rated refrigeration power of the compressor.
[0120] The theoretical release time Δt_release,th is expressed as: Δt_release,th = Q_release / (μ In the formula P_load,avg), Q_release represents the release capacity of the cold storage material, Q_release=C M (T_max T_target), T_max is the upper limit temperature set for the cold storage material; P_load,avg is the average refrigeration load required to maintain the temperature of the cold storage compartment.
[0121] Based on the theoretical duration, a dynamic correction function obtained through reinforcement learning is introduced to adaptively adjust the theoretical duration. The corrected cooling storage duration and cooling release duration are respectively: Δt_cool = Δt_cool,th f_cool(s);Δt_release=Δt_release,th f_release(s), where f_cool(s) is the cooling storage duration correction function and f_release(s) is the cooling release duration correction function. These correction functions can be expressed as a strategy function based on the current system state: f_cool(s) = f_cool(s(t); ); f_release(s) = f_release(s(t); In the formula, s(t) is the state vector of the system at time t, including but not limited to the temperature of the cold storage material, the temperature of the compartment, the ambient temperature, the electricity price period, the number of times the door is opened, and the load. , These are the learnable network parameters corresponding to the cold storage correction strategy and the cold release correction strategy, respectively.
[0122] To guide the strategy towards the optimal direction, an immediate reward function r(t) is constructed. Taking into account electricity costs, penalties for violating temperature constraints, and losses from frequent compressor switching, the reward function takes the form: r(t) = (α Cost_power(t)+β Penalty_temp(t)+γ Penalty_switch(t) is a function of the following: Cost_power(t) is the electricity cost at time t; Penalty_temp(t) is the penalty term for the cabin temperature deviation constraint; Penalty_switch(t) is the penalty term for the frequent operation loss of the compressor; α, β, γ are weighting coefficients used to achieve a trade-off between energy saving, temperature control and equipment lifespan.
[0123] Strategy parameters , The policy gradient method is used to update the immediate reward r(t), and the update form is as follows: ;
[0124] and They are respectively , The distribution of strategies and The learning rate is defined, and the iterative algorithm computation framework can adopt DQN (Deep Q-Network) which is suitable for discrete action spaces.
[0125] Because this embodiment uses the DQN algorithm framework to adapt to the discrete action space, the correction coefficients f_cool and f_release are discretized into several fixed levels. The reinforcement learning agent selects the optimal level according to the state s(t), realizing dynamic and robust adjustment of the cooling storage time and the cooling release time, so that the system can still maintain efficient and stable operation under various operating conditions.
[0126] like Figure 13 As shown, Figure 13 This is a flowchart of a control method for a refrigeration system provided in another embodiment of this application; the control method for the refrigeration system may include, but is not limited to, steps S1101 to S1102.
[0127] S1101, when the difference between the temperature of the refrigerated compartment and the allowable lower limit temperature is less than or equal to the difference threshold, the operating load of the compressor is controlled to switch from the preset high level to the normal level; In one embodiment, when the refrigeration system is operating at a high load, the current temperature of the refrigerated compartment is monitored in real time, and the difference between this temperature and the lower limit temperature of the refrigerated compartment is calculated. When the difference is detected to be less than or equal to a preset threshold, the control system determines that the current temperature of the refrigerated compartment is close to the lower limit temperature range, and the cooling supply is sufficient to maintain a stable compartment temperature. At this time, the control system switches the compressor's operating load from the high load level to the normal level to reduce energy consumption and ensure the economy and stability of the system operation. Meanwhile, excessively low temperatures may cause the refrigerated items in the refrigerated compartment to deteriorate or change in nature. Therefore, monitoring the lower limit temperature is necessary.
[0128] S1102, when the difference between the temperature of the refrigerated compartment and the upper limit temperature is less than or equal to the difference threshold, the operating load of the compressor is controlled to switch from the preset low level to the normal level.
[0129] In one embodiment, when the refrigeration system is operating at a preset low speed, the control system also monitors the temperature of the refrigerated compartment in real time and calculates the difference between this temperature and the upper limit of the allowable temperature for the refrigerated compartment. If the difference is detected to be less than or equal to a preset threshold value, it indicates that, given the current cooling capacity of the stored material, the compressor operating at the preset low speed may cause the temperature to exceed the upper limit of the allowable temperature. To ensure the freshness of the refrigerated items, it is necessary to increase the compressor's operating load to reduce the compartment temperature. The threshold value can be 0 or other preset values.
[0130] Among them, the first energy consumption level of the preset high setting is greater than the second energy consumption level of the preset low setting, and the second energy consumption level of the preset low setting is less than the third energy consumption level of the normal setting.
[0131] Optionally, since a cold storage module is provided, the compressor will automatically stop running when a power outage is detected. At this time, the cold storage material will start to maintain the chamber temperature within the target range by absorbing heat through phase change or sensible heat.
[0132] Furthermore, the controller can record the power outage start time and temperature change of the cold storage material, which can be used to optimize the cold storage and release model for this batch of cold storage material, thereby improving the accuracy of the first and second duration calculations. It is understood that the same cold storage and release model can be used for the same batch of cold storage material, and this model can be pre-calibrated experimentally before leaving the factory. In one embodiment, the refrigeration system uses a cold storage and release model deployed on a server to calculate the first and second durations; therefore, the controller within the refrigeration system can upload the above records to the server for updating or optimizing the cold storage and release model on the server. In another embodiment, the refrigeration system uses a locally deployed cold storage and release model to calculate the first and second durations; therefore, the controller can update or optimize the local model based on the above records.
[0133] In this embodiment, the compartment temperature is monitored in real time while the energy-saving function is activated. Based on the difference between the compartment temperature and the preset upper and lower allowable temperatures, as well as the difference threshold, the operating load of the compressor is adjusted in a timely manner to ensure that the temperature of the refrigerated compartment meets the normal working requirements and to ensure the preservation effect of the refrigerated items.
[0134] Based on the control methods of the refrigeration system in the above embodiments, the following presents various embodiments of the controller, computer-readable storage medium, and computer program product of this application.
[0135] like Figure 14 As shown, Figure 14 This is a schematic diagram of a controller for executing a control method for a refrigeration system according to an embodiment of this application. The controller 1400 implemented in this application includes: a processor 1410, a memory 1420, and a computer program stored in the memory 1420 and executable on the processor 1410, wherein... Figure 14 The example uses a processor 1410 and a memory 1420.
[0136] Processor 1410 and memory 1420 can be connected via a bus or other means. Figure 14 Taking the example of a connection between China and Israel via a bus.
[0137] Memory 1420, 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 1420 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 1420 may optionally include remotely located memories 1420 relative to processor 1410, which can be connected to controller 1400 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.
[0138] Those skilled in the art will understand that Figure 14 The device structure shown does not constitute a limitation on the controller 1400 and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0139] exist Figure 14 In the controller 1400 shown, the processor 1410 can be used to call the fast communication program stored in the memory 1420, thereby implementing the control method of the refrigeration system described above. Specifically, the non-transient software program and instructions required to implement the control method of the refrigeration system in the above embodiment are stored in the memory 1420. When executed by the processor 1410, the control method of the refrigeration system in the above embodiment is executed.
[0140] It is worth noting that, since the controller 1400 of this application embodiment can execute the control method of the refrigeration system of any of the above embodiments, the specific implementation method and technical effect of the controller 1400 of this application embodiment can refer to the specific implementation method and technical effect of the control method of the refrigeration system of any of the above embodiments.
[0141] Furthermore, this application also provides a refrigerator, including the above-described refrigeration system or the above-described controller. Therefore, the specific implementation and technical effects of the refrigerator in this application can be referred to the specific implementation and technical effects of the refrigeration system or controller in any of the above embodiments.
[0142] Furthermore, one embodiment of this application provides a computer-readable storage medium storing computer-executable instructions for performing the aforementioned control method for a refrigeration system. Exemplarily, the above-described method is executed... Figures 4 to 13 The methods and steps in the text.
[0143] It is worth noting that, since the computer-readable storage medium of this application embodiment can execute the control method of the refrigeration system 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 control method of the refrigeration system of any of the above embodiments.
[0144] 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 control method for the cooling system. Exemplarily, the above-described method is performed... Figures 4 to 13 The methods and steps in the text.
[0145] It is worth noting that, since the computer program product of this application embodiment can execute the control method of the refrigeration system 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 control method of the refrigeration system of any of the above embodiments.
[0146] 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.
[0147] 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 embodiments of this application.
Claims
1. A control method for a refrigeration system, characterized in that, The refrigeration system includes a refrigerated compartment, a cold storage module, and a compressor. The cold storage module is located within the refrigerated compartment and is used to store cold storage materials. The compressor is used to refrigerate the refrigerated compartment. The method includes: When the off-peak electricity period begins, the first material temperature of the cold storage material is obtained; Determine the first time required for the cold storage material to drop from the temperature of the first material to the target cold storage temperature of the cold storage material, and determine the start time of the cold storage mode of the refrigeration system based on the first time. Between the start time of the cold storage mode and the end time of the off-peak electricity period, the compressor is controlled to increase its operating load to a preset high level, and the second material temperature of the cold storage material is detected; When the peak power period is entered and the temperature of the second material is less than or equal to the target cold storage temperature, the energy-saving mode is activated, the second time required for the cold storage material to rise from the temperature of the second material to the set upper limit temperature is determined, and the end time of the energy-saving mode of the refrigeration system is determined based on the second time. Between the start time and the end time of the energy-saving mode, the compressor is controlled to reduce its operating load to a preset low level, and the cold storage material is used to cool the refrigerated compartment.
2. The method according to claim 1, characterized in that, The method further includes: When the peak power period begins and the temperature of the second material is greater than the target cold storage temperature, the energy-saving mode is not activated. The operating load of the compressor is controlled according to the temperature of the cold storage compartment so that the temperature of the cold storage compartment is maintained within the preset temperature range set by the user.
3. The method according to claim 1, characterized in that, The step of determining the first time required for the cold storage material to drop from the temperature of the first material to the target cold storage temperature of the cold storage material, and determining the start time of the cold storage mode of the refrigeration system based on the first time, includes: Determine the first time required for the temperature of the first material to drop to the target cold storage temperature of the cold storage material in a preset mapping table; The start time of the cooling system's cold storage mode is determined based on the end time of the off-peak electricity period and the first duration; the sum of the start time of the cold storage mode and the first duration is less than or equal to the end time of the off-peak electricity period.
4. The method according to claim 1, characterized in that, When the peak power period begins and the temperature of the second material is less than or equal to the target cold storage temperature, the energy-saving mode is activated. A second time interval is determined required for the cold storage material to rise from the second material temperature to the set upper limit temperature. Based on this second time interval, the end time of the energy-saving mode of the refrigeration system is determined, including: When the peak power period is entered and the temperature of the second material is less than or equal to the target cold storage temperature, the energy-saving mode is activated, and the second time required for the cold storage material to rise from the temperature of the second material to the set upper limit temperature is determined in the preset mapping table. The sum of the peak power start time and the second duration is determined as the end time of the energy-saving mode of the refrigeration system.
5. The method according to claim 1, characterized in that, The step of determining the first time required for the cold storage material to drop from the temperature of the first material to the target cold storage temperature of the cold storage material, and determining the start time of the cold storage mode of the refrigeration system based on the first time, includes: The required cooling capacity of the cold storage material is determined based on the temperature difference between the first material temperature and the target cold storage temperature, the specific heat capacity of the cold storage material, and the mass of the cold storage material. The first duration is determined based on the required cooling capacity, the rated cooling power of the compressor, and the equivalent heat transfer efficiency coefficient between the cold storage material and the evaporator. The start time of the cooling system's cold storage mode is determined based on the end time of the off-peak electricity period and the first duration; the sum of the start time of the cold storage mode and the first duration is less than or equal to the end time of the off-peak electricity period.
6. The method according to claim 1, characterized in that, When the peak power period begins and the temperature of the second material is less than or equal to the target cold storage temperature, the energy-saving mode is activated. A second time interval is determined required for the cold storage material to rise from the second material temperature to the set upper limit temperature. Based on this second time interval, the end time of the energy-saving mode of the refrigeration system is determined, including: When the peak power period is entered and the temperature of the second material is less than or equal to the target cold storage temperature, the energy-saving mode is activated. The releaseable cold capacity of the cold storage material is determined based on the temperature difference between the set upper limit temperature and the temperature of the second material, the specific heat capacity of the cold storage material, and the mass of the cold storage material. The second duration is determined based on the releasable amount, the compressor's rated cooling power, and the average cooling load required to maintain the cabin temperature. The sum of the peak power start time and the second duration is determined as the end time of the energy-saving mode of the refrigeration system.
7. The method according to claim 1, characterized in that, The determination of the first time required for the cold storage material to drop from the first material temperature to the target cold storage temperature, and the determination of the second time required for the cold storage material to rise from the second material temperature to the set upper limit temperature, include: The first time required for the cold storage material to drop from the temperature of the first material to the target cold storage temperature and the second time required for the temperature of the second material to rise to the set upper limit temperature are set as optimization targets, and a first population containing multiple individuals is generated; wherein, each individual represents a possible first time and second time scheme; The fitness function value of each individual is calculated based on a pre-constructed objective function; the objective function includes the energy consumption cost during the control cycle and the cumulative cabin temperature deviation during the control cycle. Genetic operations are performed on the first population to obtain a second population containing new individuals. The second population is then identified as the first population. The process then proceeds to calculate the fitness function value of each individual based on a pre-constructed objective function, until the fitness function value converges or the number of iterations of the genetic operation reaches a threshold. The first duration and the second duration of the individual with the smallest fitness function value in the first population are then selected.
8. The method according to any one of claims 1-7, characterized in that, The step of controlling the compressor to increase its operating load to a preset high level between the start time of the cold storage mode and the end time of the off-peak electricity period includes: Between the start time of the cold storage mode and the end time of the off-peak electricity period, the compressor is controlled to increase its operating load to a preset high level; The ambient temperature of the environment where the refrigeration system is located, the number of times the door of the refrigeration compartment is opened, the load of the refrigerated object in the refrigeration compartment, and the actual temperature rise curve of the cold storage material are obtained. The first duration is corrected based on the ambient temperature, the number of times the door is opened, the load of the refrigerated object, and the actual temperature rise curve to obtain the corrected first duration. The operating load of the compressor is adjusted according to the modified first duration.
9. The method according to claim 1, characterized in that, When the peak power period begins and the temperature of the second material is less than or equal to the target cold storage temperature, the energy-saving mode is activated. After determining the second time required for the cold storage material to rise from the second material temperature to the set upper limit temperature, and determining the end time of the energy-saving mode of the refrigeration system based on the second time, the method further includes: The ambient temperature of the environment where the refrigeration system is located, the number of times the door of the refrigeration compartment is opened, the load of the refrigerated object in the refrigeration compartment, and the actual temperature rise curve of the cold storage material are obtained. The second duration is corrected based on the ambient temperature, the number of times the door is opened, the load of the refrigerated object, and the actual temperature rise curve to obtain the corrected second duration. The end time of the energy-saving mode is adjusted according to the revised second duration.
10. The method according to claim 1, characterized in that, The step of controlling the compressor to increase its operating load to a preset high level and detecting the second material temperature of the cold storage material between the start time of the cold storage mode and the end time of the off-peak electricity period includes: Between the start time of the cold storage mode and the end time of the off-peak electricity period, the compressor is controlled to increase its operating load to a preset high level, and the second material temperature of the cold storage material is detected; If the temperature of the second material reaches the target cold storage temperature, the compressor is controlled to adjust its operating load to a preset insulation level so that the cold storage material is maintained at the temperature of the second material until the end of the off-peak electricity period.
11. The method according to claim 1, characterized in that, The method further includes: When the difference between the temperature of the refrigerated compartment and the allowable lower limit temperature is less than or equal to the difference threshold, the operating load of the compressor is controlled to switch from the preset high level to the normal level. When the difference between the temperature of the refrigerated compartment and the upper limit temperature is less than or equal to the difference threshold, the operating load of the compressor is controlled to switch from the preset low level to the normal level; wherein, the first energy consumption level of the preset high level is greater than the second energy consumption level of the preset low level, and the second energy consumption level of the preset low level is less than the third energy consumption level of the normal level.
12. The method according to claim 1, characterized in that, The operating load is proportional to at least one of the compressor's operating power, operating frequency, and start / stop frequency.
13. The method according to claim 12, characterized in that, The step of controlling the compressor to reduce its operating load to a preset low level between the start time and the end time of the energy-saving mode, and cooling the refrigerated compartment through the cold storage material, includes: Between the start time of the energy-saving mode and the end time of the energy-saving mode, the temperature of the third material of the cold storage material is detected; The operating frequency of the compressor is determined based on the difference between the temperature of the third material and the preset upper limit temperature, and the operation of the compressor is controlled based on the operating frequency.
14. The method according to claim 1, characterized in that, Before obtaining the first material temperature of the cold storage material after entering a valley electricity period, the method further includes: Obtain the activation status of the energy-saving function of the refrigeration system; If the energy-saving function is enabled, then the step of obtaining the first material temperature of the cold storage material after entering the off-peak electricity period is executed.
15. A refrigeration system, characterized in that, The system includes a refrigerated compartment, a cold storage module, a compressor, and a controller. The cold storage module is located in the refrigerated compartment and is used to store cold storage materials. The compressor is used to cool the refrigerated compartment. The controller is used to, when entering a low-electricity period, acquire a first material temperature of the cold storage material, determine a first time required for the cold storage material to drop from the first material temperature to a target cold storage temperature, determine the start time of the cold storage mode of the refrigeration system based on the first time, control the compressor to increase its operating load to a preset high level between the start time of the cold storage mode and the end time of the low-electricity period, and detect a second material temperature of the cold storage material. When entering a peak-electricity period and the second material temperature is less than or equal to the target cold storage temperature, the system activates an energy-saving mode, determines a second time required for the cold storage material to rise from the second material temperature to a set upper limit temperature, determines the end time of the energy-saving mode of the refrigeration system based on the second time, and control the compressor to reduce its operating load to a preset low level between the start time of the energy-saving mode and the end time of the energy-saving mode, and cool the refrigerated compartment using the cold storage material.
16. The refrigeration system according to claim 15, characterized in that, The refrigeration system further includes a first temperature sensor and a second temperature sensor, wherein the first temperature sensor is used to detect the temperature of the refrigerated compartment, and the second temperature sensor is used to detect the material temperature of the cold storage material.
17. A controller, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the control method of the refrigeration system as described in any one of claims 1 to 14 when running the computer program.
18. A refrigerator, characterized in that, Includes the refrigeration system as described in any one of claims 15 to 16 or the controller as described in claim 17.
19. A computer-readable storage medium, characterized in that: The system stores computer-executable instructions for performing a control method for a refrigeration system as described in any one of claims 1 to 14.
20. 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 computer device reads the computer program or the computer instructions from the computer-readable storage medium, and the processor executes the computer program or the computer instructions to cause the computer device to perform the control method of the refrigeration system as described in any one of claims 1 to 14.