Control methods, devices, and temperature control equipment for magnetic refrigeration temperature control systems
By monitoring environmental parameter deviations in real time and dynamically adjusting the control parameters of the magnetic refrigeration system, the shortcomings of traditional magnetic refrigeration equipment control methods are solved, achieving efficient and stable temperature regulation and energy efficiency improvement.
Patent Information
- Application Number
- CN202610344394.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-20
- Publication Date
- 2026-05-26
AI Technical Summary
Traditional magnetic refrigeration equipment lacks dynamic adaptability in its control methods, making it impossible to accurately adjust its operating status according to environmental changes, which makes it difficult to improve refrigeration efficiency and energy efficiency ratio.
By acquiring the deviation values between the current environmental parameters and the target parameters, and dynamically adjusting control parameters such as magnetic field strength, magnetic field change frequency, and working fluid flow rate based on the deviation values and preset adjustment coefficients, a closed-loop control loop is formed to achieve precise adjustment.
It achieves efficient, stable, and precise temperature control of the magnetic refrigeration system, avoids room temperature fluctuations, improves comfort, and enhances operational energy efficiency.
Smart Images
Figure CN122083536A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of temperature control technology, and in particular to a control method, device, and temperature control equipment for a magnetic refrigeration temperature control system. Background Technology
[0002] Traditional temperature control systems, especially widely used compressor-based air conditioners, typically rely on the physical phase change cycle of the refrigerant. These systems achieve cooling through the coordinated operation of mechanical components such as the compressor, condenser, expansion valve, and evaporator. While the technology is mature, its control methods are often rather crude, employing simple on / off control or feedback regulation based on fixed thresholds. The system shuts down when the room temperature reaches the set value, resulting in significant temperature fluctuations and issues with response lag and reduced energy efficiency under varying loads. This control strategy makes it difficult to achieve precise temperature management, and the response speed is limited by the inertia of the mechanical components.
[0003] Magnetic refrigeration technology, as a new green refrigeration solution, achieves heat transfer through the magnetocaloric effect of magnetic materials in changing magnetic fields. It has advantages such as high efficiency, environmental protection, and low noise. However, the control methods of existing magnetic refrigeration equipment are mostly simple timed control or basic feedback control, which lacks the ability to dynamically adapt to environmental parameters and cannot accurately adjust the operating status according to environmental changes. As a result, the advantages of the magnetocaloric effect cannot be fully utilized, and the refrigeration efficiency and energy efficiency ratio are difficult to further improve. Summary of the Invention
[0004] This invention provides a control method, device, and temperature control equipment for a magnetic refrigeration temperature control system, in order to solve the problem of poor dynamic adaptability of the control mode of the magnetic refrigeration temperature control system.
[0005] In a first aspect, embodiments of the present invention provide a control method for a magnetic refrigeration temperature control system, the magnetic refrigeration temperature control system comprising a magnetic refrigeration unit and a heat exchange unit; the method comprising: Obtain the current environmental parameters and calculate the deviation between the current environmental parameters and the target environmental parameters; Based on the deviation value and the preset adjustment coefficient, the control parameters of the previous moment are adjusted to obtain the control parameters of the current moment; among them, the control parameters include magnetic field strength, magnetic field change frequency and working fluid flow rate; The magnetic refrigeration unit and the heat exchange unit are controlled based on the control parameters at the current moment.
[0006] In one possible implementation, the environmental parameters include ambient temperature and ambient humidity; based on the deviation value and a preset adjustment coefficient, the control parameters from the previous moment are adjusted to obtain the control parameters for the current moment, including: For each control parameter, the first adjustment coefficient corresponding to the control parameter is multiplied by the ambient temperature deviation value to obtain the first adjustment value, and the second adjustment coefficient corresponding to the control parameter is multiplied by the ambient humidity deviation value to obtain the second adjustment value. The first adjustment value and the second adjustment value are added to the control parameter at the previous moment to obtain the control parameter at the current moment.
[0007] In one possible implementation, before adjusting the control parameters from the previous moment based on the deviation value and a preset adjustment coefficient to obtain the control parameters for the current moment, the following steps are included: Based on the rated power of the magnetic refrigeration temperature control system, the magnetocaloric effect performance parameters of the magnetic refrigeration unit, and the heat transfer efficiency of the heat exchange unit, a preset adjustment coefficient is obtained through simulation or experimental calibration.
[0008] In one possible implementation, after adjusting the control parameters from the previous moment based on the deviation value and a preset adjustment coefficient to obtain the control parameters for the current moment, the method further includes: If the current ambient humidity is higher than the preset humidity threshold, the current magnetic field change frequency and / or working fluid flow rate are multiplied by the preset correction coefficient to obtain the corrected magnetic field change frequency and / or working fluid flow rate, and the magnetic refrigeration unit and heat exchange unit are controlled based on the corrected magnetic field change frequency and / or working fluid flow rate.
[0009] In one possible implementation, after obtaining the current environment parameters, the following is also included: Calculate the rate of change of ambient temperature based on the current ambient temperature and the ambient temperature at the previous moment, and / or calculate the rate of change of ambient humidity based on the current ambient humidity and the ambient humidity at the previous moment; Adjust the preset adjustment coefficients based on the rate of change of ambient temperature and the rate of change of ambient humidity.
[0010] In one possible implementation, before obtaining the current environment parameters, the following is also included: The interval between the previous moment and the current moment is determined based on the magnetic relaxation time of the magnetic material in the magnetic refrigeration unit.
[0011] In a second aspect, embodiments of the present invention provide a control device for a magnetic refrigeration temperature control system, the magnetic refrigeration temperature control system including a magnetic refrigeration unit and a heat exchange unit; the device includes: The acquisition module is used to acquire the current environmental parameters and calculate the deviation between the current environmental parameters and the target environmental parameters; The adjustment module is used to adjust the control parameters of the previous moment based on the deviation value and the preset adjustment coefficient to obtain the control parameters of the current moment; the control parameters include magnetic field strength, magnetic field change frequency and working fluid flow rate; The control module is used to control the magnetic refrigeration unit and the heat exchange unit based on the control parameters at the current moment.
[0012] Thirdly, embodiments of the present invention provide a temperature control device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the method described in the first aspect or any possible implementation of the first aspect.
[0013] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in the first aspect or any possible implementation thereof.
[0014] The control method, apparatus, and temperature control equipment for the magnetic refrigeration temperature control system provided in this invention achieve precise and continuous adjustment of the output power of the magnetic refrigeration temperature control system by periodically calculating the deviation between real-time environmental parameters and target values, and dynamically adjusting core control parameters such as magnetic field strength, magnetic field change frequency, and working fluid flow rate based on this deviation. This overcomes the coarseness of traditional on / off control or simple threshold control, enabling the system to maintain stable ambient temperature more smoothly and accurately, avoiding frequent fluctuations and over-adjustment of room temperature, and improving comfort. Simultaneously, since the control commands are directly related to the core physical process of magnetic refrigeration, the system can flexibly match the refrigeration power according to actual load requirements, avoiding the efficiency degradation of traditional compressors under partial load, thereby achieving higher operating energy efficiency. This continuous process based on real-time monitoring, deviation calculation, parameter adjustment, and execution feedback forms a highly efficient and adaptive closed-loop control loop, enabling the entire magnetic refrigeration temperature control system to intelligently respond to environmental changes and maintain efficient, stable, and precise operation. Attached Figure Description
[0015] Figure 1 This is a flowchart illustrating the implementation of the control method for the magnetic refrigeration temperature control system provided in this embodiment of the invention. Figure 2 This is a schematic diagram of the control device of the magnetic refrigeration temperature control system provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the temperature control device provided in an embodiment of the present invention. Detailed Implementation
[0016] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
[0017] See Figure 1 The diagram illustrates the implementation flowchart of the control method for the magnetic refrigeration temperature control system provided in this embodiment of the invention, which is described in detail below: The magnetic refrigeration temperature control system includes a magnetic refrigeration unit and a heat exchange unit; the method includes: Step 101: Obtain the current environmental parameters and calculate the deviation between the current environmental parameters and the target environmental parameters.
[0018] In this embodiment, the magnetic refrigeration temperature control system includes a magnetic refrigeration unit and a heat exchange unit. The core of the magnetic refrigeration unit is a component that utilizes the magnetocaloric effect of magnetic materials to achieve cooling, typically including a magnetic field source providing a changing magnetic field and a magnetic material as the working fluid. The heat exchange unit is responsible for transferring heat between the magnetic material and the space requiring temperature control; an internal working fluid circulates to transport cold or heat. This method is periodically executed by the system's intelligent control system.
[0019] Environmental parameters are key indicators reflecting indoor cooling demand. They are collected by high-precision sensors deployed in key indoor areas to ensure data accuracy and representativeness. Target environmental parameters are set by the user based on their needs or by using system-preset comfort environmental parameter standards. The deviation value is calculated by the difference between the current environmental parameters and the target environmental parameters. This difference directly reflects the urgency of the current cooling demand, providing a core basis for subsequent adjustments to control parameters. By accurately acquiring environmental parameters and calculating deviations, the system can perceive environmental changes in real time, overcoming the lag of traditional control methods and laying the foundation for dynamic and precise control.
[0020] Step 102: Based on the deviation value and the preset adjustment coefficient, adjust the control parameters of the previous moment to obtain the control parameters of the current moment; wherein, the control parameters include magnetic field strength, magnetic field change frequency and working fluid flow rate.
[0021] In this embodiment, the control parameters used in the previous control moment are dynamically corrected based on the calculated deviation value and a set of predefined adjustment coefficients, thereby generating new control parameters suitable for the current moment. These control parameters are key instructions that directly drive the system operation, mainly including the magnetic field strength applied to the magnetic material, the frequency of magnetic field changes, and the flow rate of the working fluid flowing through the heat exchange unit. The purpose of the adjustment is to make the change in control parameters proportional to the environmental deviation; the larger the deviation, the greater the adjustment.
[0022] Step 103: Control the magnetic refrigeration unit and the heat exchange unit based on the control parameters at the current moment.
[0023] In this embodiment, the calculated control parameters at the current moment are converted into specific control commands, which are sent to the actuators of the magnetic refrigeration unit and the heat exchange unit, respectively. For example, the current of the magnetic field source is adjusted to change the magnetic field strength and frequency, and the power of the pump is adjusted to change the flow rate of the working fluid, so that the entire system operates according to the new parameters, more effectively eliminating environmental deviations and achieving precise temperature control. This method forms a closed-loop control through continuous monitoring, calculation, and feedback adjustment, enabling the system to adapt to environmental changes and maintain efficient and stable operation.
[0024] This invention achieves precise and continuous regulation of the output power of the magnetic refrigeration temperature control system by periodically calculating the deviation between real-time environmental parameters and target values, and dynamically adjusting core control parameters such as magnetic field strength, magnetic field change frequency, and working fluid flow rate based on this deviation. This overcomes the coarseness of traditional on / off control or simple threshold control, enabling the system to maintain stable ambient temperature more smoothly and accurately, avoiding frequent fluctuations and over-adjustment of room temperature, and improving comfort. Simultaneously, because the control commands are directly linked to the core physical process of magnetic refrigeration, the system can flexibly match the cooling power according to actual load requirements, avoiding the efficiency degradation of traditional compressors under partial load, thus achieving higher operating energy efficiency. This continuous process based on real-time monitoring, deviation calculation, parameter adjustment, and execution feedback forms a highly efficient and adaptive closed-loop control circuit, enabling the entire magnetic refrigeration temperature control system to intelligently respond to environmental changes and maintain efficient, stable, and precise operation.
[0025] In one possible implementation, the environmental parameters include ambient temperature and ambient humidity; based on the deviation value and a preset adjustment coefficient, the control parameters from the previous moment are adjusted to obtain the control parameters for the current moment, including: For each control parameter, the first adjustment coefficient corresponding to the control parameter is multiplied by the ambient temperature deviation value to obtain the first adjustment value, and the second adjustment coefficient corresponding to the control parameter is multiplied by the ambient humidity deviation value to obtain the second adjustment value. The first adjustment value and the second adjustment value are added to the control parameter at the previous moment to obtain the control parameter at the current moment.
[0026] In this embodiment, the environmental parameters specifically include ambient temperature and ambient humidity. The target environmental parameters correspond to the target temperature value and the target humidity value. The calculated deviation value is the temperature deviation between the current temperature and the target temperature, and the humidity deviation between the current humidity and the target humidity.
[0027] When adjusting control parameters based on deviation values, a similar linear superposition strategy is employed for each of the following: magnetic field strength, magnetic field change frequency, and working fluid flow rate. Specifically, for magnetic field strength, the system multiplies its corresponding adjustment coefficient by the temperature deviation value to obtain the first magnetic field adjustment component caused by the temperature deviation; then, it multiplies its corresponding adjustment coefficient by the humidity deviation value to obtain the second magnetic field adjustment component caused by the humidity deviation. These two adjustment components are added to the magnetic field strength value at the previous moment, and the result is used as the magnetic field strength control value at the current moment. The same calculation logic is followed for the magnetic field change frequency and working fluid flow rate, i.e., their respective two sets of adjustment coefficients are multiplied by the temperature deviation and humidity deviation, and then added to their respective values at the previous moment. In this way, the change of each control parameter simultaneously considers the influence of both temperature and humidity environmental factors, enabling the control command to comprehensively address sensible heat load and latent heat load, achieving coordinated regulation of temperature and humidity.
[0028] In one possible implementation, before adjusting the control parameters from the previous moment based on the deviation value and a preset adjustment coefficient to obtain the control parameters for the current moment, the following steps are included: Based on the rated power of the magnetic refrigeration temperature control system, the magnetocaloric effect performance parameters of the magnetic refrigeration unit, and the heat transfer efficiency of the heat exchange unit, a preset adjustment coefficient is obtained through simulation or experimental calibration.
[0029] In this embodiment, the adjustment coefficient is not set arbitrarily, but determined systematically to ensure optimal control performance. One method of determination is through simulation or experimental calibration based on the system's design parameters and component performance.
[0030] First, it is necessary to obtain key data such as the rated power of the magnetic refrigeration temperature control system, the magnetocaloric effect performance parameters of the magnetic materials used in the magnetic refrigeration unit, and the heat transfer efficiency of the heat exchange unit. The rated power of the system determines the maximum output intensity of the magnetic field source and the maximum flow rate of the fluid drive module, limiting the upper limit of the control parameters and preventing parameter adjustments from exceeding the system's capacity and causing malfunctions. Magnetocaloric effect performance parameters can include the adiabatic temperature change value and isothermal magnetic entropy change value of the material, which describe the material's ability to generate or absorb heat under changing magnetic fields. The heat transfer efficiency reflects the rate at which heat is transferred between the magnetic material and the working fluid.
[0031] With these parameters in hand, the actual system response under different environmental deviations and combinations of adjustment coefficients can be simulated or tested in computer simulation models or on actual prototypes, such as temperature regulation speed, stability, and energy consumption. By analyzing this response data, the set of adjustment coefficients that maximizes overall system energy efficiency, ensures smoothest regulation, and provides the fastest response can be selected and stored in the control system as preset values. This method of determining adjustment coefficients allows the control algorithm to be matched with the specific physical system.
[0032] In one possible implementation, after adjusting the control parameters from the previous moment based on the deviation value and a preset adjustment coefficient to obtain the control parameters for the current moment, the method further includes: If the current ambient humidity is higher than the preset humidity threshold, the current magnetic field change frequency and / or working fluid flow rate are multiplied by the preset correction coefficient to obtain the corrected magnetic field change frequency and / or working fluid flow rate, and the magnetic refrigeration unit and heat exchange unit are controlled based on the corrected magnetic field change frequency and / or working fluid flow rate.
[0033] In this embodiment, considering the special requirements of a high-humidity environment on the temperature control system, a correction mechanism is introduced into the control method. The system presets a humidity threshold, which is typically set based on human comfort or specific process requirements, such as a relative humidity of 65%. When the current ambient humidity value obtained by the sensor is higher than this threshold, it indicates that the dehumidification requirement becomes prominent. At this time, the system does not directly use the current magnetic field change frequency and working fluid flow rate calculated in the aforementioned steps, but instead multiplies them respectively by a preset correction coefficient greater than 1. The multiplication results in corrected, larger frequency and flow rate control values.
[0034] The principle is that increasing the frequency of magnetic field changes increases the number of refrigeration cycles of the magnetic material per unit time, thereby increasing the system's refrigeration power; increasing the flow rate of the working fluid accelerates the transfer of cold energy from the refrigeration unit to the heat exchange terminal. These two factors work synergistically to allow the system to lower the air temperature below the dew point more quickly and enhance the condensation effect on the heat exchanger surface, thus significantly improving dehumidification capacity while cooling. The correction factor can be determined experimentally to balance dehumidification effect with additional energy consumption.
[0035] In one possible implementation, after obtaining the current environment parameters, the following is also included: Calculate the rate of change of ambient temperature based on the current ambient temperature and the ambient temperature at the previous moment, and / or calculate the rate of change of ambient humidity based on the current ambient humidity and the ambient humidity at the previous moment; Adjust the preset adjustment coefficients based on the rate of change of ambient temperature and the rate of change of ambient humidity.
[0036] In this embodiment, after acquiring the current ambient temperature and humidity, the system compares them with the stored temperature and humidity values from the previous moment to calculate the rate of change of ambient temperature and humidity within the most recent control cycle. The rate of change reflects the speed at which the environmental parameters rise or fall. The system then uses this rate of change information to dynamically fine-tune the previously mentioned preset adjustment coefficients. For example, if a rapid temperature increase is detected, i.e., the rate of temperature change is positive and large, the system can appropriately increase the adjustment coefficient related to the temperature deviation according to certain rules.
[0037] This allows the system to output stronger control commands when calculating adjustments in a new control cycle, even if the temperature deviation remains temporarily the same. The increased coefficient helps to preemptively suppress any impending larger temperature rise, thus acting as feedforward compensation. Conversely, if the temperature is rapidly decreasing, the relevant adjustment coefficient can be appropriately reduced to prevent over-control. This rate-of-change-based adaptive coefficient adjustment provides the control system with a superior strategy to cope with dynamic environmental changes.
[0038] In one possible implementation, before obtaining the current environment parameters, the following is also included: The interval between the previous moment and the current moment is determined based on the magnetic relaxation time of the magnetic material in the magnetic refrigeration unit.
[0039] In this embodiment, the execution cycle of this method, i.e., the time interval between two consecutive acquisitions of environmental parameters and calculations of control parameters, is not fixed but is set according to the core material characteristics of the magnetic refrigeration unit. The key basis is the magnetic relaxation time of the magnetic material. Magnetic relaxation time is the characteristic time required for a magnetic material to complete the magnetization or demagnetization process, reflecting the response speed of the magnetic material to changes in the magnetic field, and is one of the core performance parameters of the magnetic refrigeration unit. If the time interval is too short, the magnetic material has not completed a complete magnetocaloric effect cycle, and adjusting the control parameters at this time will lead to energy waste and unstable cooling effect; if the time interval is too long, it cannot respond to environmental changes in a timely manner, reducing control accuracy.
[0040] Specifically, gadolinium (Gd)-based alloys have short magnetic relaxation times (typically in the millisecond to sub-second range) and rapid thermal response. Therefore, shorter update cycles (e.g., 0.5 to 2 seconds) can be set to achieve fast and precise temperature control.
[0041] Dysprosium (Dy)-based alloys and the like may have longer magnetic relaxation times (up to several seconds). To match their slower thermodynamic processes, a longer update cycle (e.g., 2 to 5 seconds) needs to be set to ensure that the cooling / heating power is released stably and fully in each control cycle.
[0042] Determining the time interval based on the magnetic relaxation time ensures that each control parameter adjustment is performed after the magnetic material has completed an effective magnetocaloric cycle. This guarantees the full utilization of the magnetocaloric effect and allows the fluid circulation of the heat exchange unit to complete a heat transfer cycle synchronously. This achieves precise matching between the control cycle and the material and unit operating characteristics, thereby improving the stability and efficiency of the system operation.
[0043] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
[0044] The following are device embodiments of the present invention. For details not described in detail, please refer to the corresponding method embodiments described above.
[0045] Figure 2 A schematic diagram of the control device for the magnetic refrigeration temperature control system provided in an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, and are described in detail below: like Figure 2 As shown, the control device 2 of the magnetic refrigeration temperature control system includes: The acquisition module 21 is used to acquire the current environmental parameters and calculate the deviation between the current environmental parameters and the target environmental parameters; The adjustment module 22 is used to adjust the control parameters of the previous moment based on the deviation value and the preset adjustment coefficient to obtain the control parameters of the current moment; wherein, the control parameters include magnetic field strength, magnetic field change frequency and working fluid flow rate; The control module 23 is used to control the magnetic refrigeration unit and the heat exchange unit based on the control parameters at the current moment.
[0046] In one possible implementation, the environmental parameters include ambient temperature and ambient humidity; the adjustment module 22 is specifically used for: For each control parameter, the first adjustment coefficient corresponding to the control parameter is multiplied by the ambient temperature deviation value to obtain the first adjustment value, and the second adjustment coefficient corresponding to the control parameter is multiplied by the ambient humidity deviation value to obtain the second adjustment value. The first adjustment value and the second adjustment value are added to the control parameter at the previous moment to obtain the control parameter at the current moment.
[0047] In one possible implementation, the adjustment module 22 is also used for: Before adjusting the control parameters of the previous moment based on the deviation value and the preset adjustment coefficient to obtain the control parameters of the current moment, the preset adjustment coefficient is obtained through simulation or experimental calibration based on the rated power of the magnetic refrigeration temperature control system, the magnetocaloric effect performance parameters of the magnetic refrigeration unit, and the heat transfer efficiency of the heat exchange unit.
[0048] In one possible implementation, the adjustment module 22 is also used for: After adjusting the control parameters of the previous moment based on the deviation value and the preset adjustment coefficient to obtain the control parameters of the current moment, if the current ambient humidity is higher than the preset humidity threshold, the magnetic field change frequency and / or working fluid flow rate of the current moment are multiplied by the preset correction coefficient to obtain the corrected magnetic field change frequency and / or working fluid flow rate, and the magnetic refrigeration unit and heat exchange unit are controlled based on the corrected magnetic field change frequency and / or working fluid flow rate.
[0049] In one possible implementation, the adjustment module 22 is also used for: After obtaining the current environmental parameters, calculate the rate of change of environmental temperature based on the current environmental temperature and the environmental temperature at the previous moment, and / or calculate the rate of change of environmental humidity based on the current environmental humidity and the environmental humidity at the previous moment. Adjust the preset adjustment coefficients based on the rate of change of ambient temperature and the rate of change of ambient humidity.
[0050] In one possible implementation, the adjustment module 22 is also used for: Before obtaining the current environmental parameters, the interval between the previous moment and the current moment is determined based on the magnetic relaxation time of the magnetic material in the magnetic refrigeration unit.
[0051] This invention achieves precise and continuous regulation of the output power of the magnetic refrigeration temperature control system by periodically calculating the deviation between real-time environmental parameters and target values, and dynamically adjusting core control parameters such as magnetic field strength, magnetic field change frequency, and working fluid flow rate based on this deviation. This overcomes the coarseness of traditional on / off control or simple threshold control, enabling the system to maintain stable ambient temperature more smoothly and accurately, avoiding frequent fluctuations and over-adjustment of room temperature, and improving comfort. Simultaneously, because the control commands are directly linked to the core physical process of magnetic refrigeration, the system can flexibly match the cooling power according to actual load requirements, avoiding the efficiency degradation of traditional compressors under partial load, thus achieving higher operating energy efficiency. This continuous process based on real-time monitoring, deviation calculation, parameter adjustment, and execution feedback forms a highly efficient and adaptive closed-loop control circuit, enabling the entire magnetic refrigeration temperature control system to intelligently respond to environmental changes and maintain efficient, stable, and precise operation.
[0052] Figure 3 This is a schematic diagram of the temperature control device provided in an embodiment of the present invention. Figure 3As shown, the temperature control device 3 in this embodiment includes a processor 30 and a memory 31. The memory 31 stores a computer program 32. When the processor 30 executes the computer program 32, it implements the steps in the various method embodiments described above. Alternatively, when the processor 30 executes the computer program 32, it implements the functions of each module / unit in the various device embodiments described above.
[0053] For example, the computer program 32 may be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 32 in the temperature control device 3.
[0054] The temperature control device 3 may include, but is not limited to, a processor 30 and a memory 31. Those skilled in the art will understand that... Figure 3 This is merely an example of temperature control device 3 and does not constitute a limitation on temperature control device 3. It may include more or fewer components than shown, or combine certain components, or different components. For example, temperature control device 3 may also include input / output devices, network access devices, buses, etc.
[0055] The processor 30 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.
[0056] The memory 31 can be an internal storage unit of the temperature control device 3, such as a hard disk or RAM. The memory 31 can also be an external storage device of the temperature control device 3, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the temperature control device 3. Furthermore, the memory 31 can include both internal and external storage units of the temperature control device 3. The memory 31 is used to store the computer program 32 and other programs and data required by the temperature control device 3. The memory 31 can also be used to temporarily store data that has been output or will be output.
[0057] For the sake of simplicity and clarity, only the above-described functional modules / units are used as examples. In practical applications, the functions described above can be assigned to different functional modules / units as needed. These modules / units can be implemented in hardware, software, or a combination of both.
[0058] This invention also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the methods described in the above-described method embodiments.
[0059] This invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the methods described in the above-described method embodiments.
[0060] Computer programs include computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. Computer-readable media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.
[0061] In the above embodiments, the descriptions of each embodiment have their own emphasis. Parts not detailed or described in a particular embodiment can be referred to in the relevant descriptions of other embodiments. Unless otherwise specified or in conflict with logic, the terminology and / or descriptions between different embodiments are consistent and can be referenced interchangeably. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.
[0062] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.
Claims
1. A control method for a magnetic refrigeration temperature control system, characterized in that, The magnetic refrigeration temperature control system includes a magnetic refrigeration unit and a heat exchange unit; the method includes: Obtain the current environmental parameters and calculate the deviation between the current environmental parameters and the target environmental parameters; Based on the deviation value and the preset adjustment coefficient, the control parameters of the previous moment are adjusted to obtain the control parameters of the current moment; wherein, the control parameters include magnetic field strength, magnetic field change frequency and working fluid flow rate; The magnetic refrigeration unit and the heat exchange unit are controlled based on the control parameters at the current moment.
2. The control method for the magnetic refrigeration temperature control system according to claim 1, characterized in that, The environmental parameters include ambient temperature and ambient humidity; the adjustment of the control parameters from the previous moment based on the deviation value and a preset adjustment coefficient to obtain the control parameters for the current moment includes: For each control parameter, the first adjustment coefficient corresponding to the control parameter is multiplied by the ambient temperature deviation value to obtain the first adjustment value, and the second adjustment coefficient corresponding to the control parameter is multiplied by the ambient humidity deviation value to obtain the second adjustment value. The first adjustment value, the second adjustment value and the control parameter at the previous moment are added to obtain the control parameter at the current moment.
3. The control method for the magnetic refrigeration temperature control system according to claim 2, characterized in that, Before adjusting the control parameters from the previous moment based on the deviation value and a preset adjustment coefficient to obtain the control parameters for the current moment, the method further includes: The preset adjustment coefficient is obtained through simulation or experimental calibration based on the rated power of the magnetic refrigeration temperature control system, the magnetocaloric effect performance parameters of the magnetic refrigeration unit, and the heat transfer efficiency of the heat exchange unit.
4. The control method for the magnetic refrigeration temperature control system according to claim 2, characterized in that, After adjusting the control parameters of the previous moment based on the deviation value and the preset adjustment coefficient to obtain the control parameters of the current moment, the method further includes: If the current ambient humidity is higher than the preset humidity threshold, the current magnetic field change frequency and / or working fluid flow rate are multiplied by a preset correction coefficient to obtain the corrected magnetic field change frequency and / or working fluid flow rate, and the magnetic refrigeration unit and the heat exchange unit are controlled based on the corrected magnetic field change frequency and / or working fluid flow rate.
5. The control method for the magnetic refrigeration temperature control system according to claim 2, characterized in that, After obtaining the current environment parameters, the following is also included: Calculate the rate of change of ambient temperature based on the current ambient temperature and the ambient temperature at the previous moment, and / or calculate the rate of change of ambient humidity based on the current ambient humidity and the ambient humidity at the previous moment; Based on the rate of change of ambient temperature and the rate of change of ambient humidity, the preset adjustment coefficient is adjusted.
6. The control method for the magnetic refrigeration temperature control system according to any one of claims 1 to 5, characterized in that, Before obtaining the current environment parameters, the method further includes: The interval between the previous moment and the current moment is determined based on the magnetic relaxation time of the magnetic material in the magnetic refrigeration unit.
7. A control device for a magnetic refrigeration temperature control system, characterized in that, The magnetic refrigeration temperature control system includes a magnetic refrigeration unit and a heat exchange unit; the device includes: The acquisition module is used to acquire the current environmental parameters and calculate the deviation between the current environmental parameters and the target environmental parameters; The adjustment module is used to adjust the control parameters of the previous moment based on the deviation value and the preset adjustment coefficient to obtain the control parameters of the current moment; wherein, the control parameters include magnetic field strength, magnetic field change frequency and working fluid flow rate; The control module is used to control the magnetic refrigeration unit and the heat exchange unit based on the control parameters at the current moment.
8. The control device for the magnetic refrigeration temperature control system according to claim 7, characterized in that, The environmental parameters include ambient temperature and ambient humidity; the adjustment module is specifically used for: For each control parameter, the first adjustment coefficient corresponding to the control parameter is multiplied by the ambient temperature deviation value to obtain the first adjustment value, and the second adjustment coefficient corresponding to the control parameter is multiplied by the ambient humidity deviation value to obtain the second adjustment value. The first adjustment value, the second adjustment value and the control parameter at the previous moment are added to obtain the control parameter at the current moment.
9. A temperature regulating device, characterized in that, It includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the method as described in any one of claims 1 to 6.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method as described in any one of claims 1 to 6.