Multi-dimensional Coupling Regulation Method and Device for Electronic Expansion Valve of Variable Frequency Energy Storage Refrigeration System

Abstract

The present invention relates to the technical field of refrigeration system control, and provides a multi-dimensional coupling regulation method and device for an electronic expansion valve of a variable-frequency energy storage refrigeration device. The method includes obtaining system operating condition information, including refrigeration cycle operating conditions, state variables and their set intervals; determining refrigeration regulation nodes and their effective regulation time periods; extracting node regulation modes and priorities according to regulation requirements, and optimizing the electronic expansion valve regulation strategy with the opening range and regulation frequency as constraints and the lowest energy consumption as the goal; generating a regulation command to drive the electronic expansion valve to perform an opening operation and evaluating the refrigeration efficiency; updating the real-time operating condition after each regulation and regenerating the regulation strategy. This method realizes dynamic and precise regulation through multi-dimensional coupling optimization. The present invention can reduce energy consumption and improve refrigeration efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of refrigeration system control, and more specifically, to a multi-dimensional coupling regulation method and device for an electronic expansion valve of a variable-frequency energy storage refrigeration system. Background Art

[0002] In modern refrigeration systems, as a key throttling element, the performance and regulation accuracy of the electronic expansion valve play a crucial role in the energy efficiency and stability of the refrigeration system. Traditional refrigeration systems usually adopt fixed throttling elements or simple electronic expansion valve control strategies. Although these methods can meet the basic refrigeration requirements to a certain extent, they often show obvious limitations when facing complex operating condition changes and diverse refrigeration tasks. For example, when the refrigeration system needs to operate under different ambient temperatures and load conditions, the fixed throttling element cannot flexibly adjust the refrigerant flow rate according to actual needs, resulting in high energy consumption or poor refrigeration effect of the refrigeration system under some operating conditions. In addition, most traditional electronic expansion valve control strategies are based on a single control parameter, such as the superheat at the outlet of the evaporator. This single-dimensional control method is difficult to fully consider the mutual coupling relationship between various links in the refrigeration system, thus unable to achieve refined regulation of the refrigeration system and further restricting the overall performance improvement of the refrigeration system.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: The prior art cannot flexibly adjust the refrigerant flow rate according to complex operating condition changes and diverse refrigeration tasks, resulting in high energy consumption or poor refrigeration effect of the refrigeration system under some operating conditions, and most traditional electronic expansion valve control strategies are based on a single control parameter, which is difficult to fully consider the mutual coupling relationship between various links in the refrigeration system, unable to achieve refined regulation of the refrigeration system, and restricting the overall performance improvement of the refrigeration system. Summary of the Invention

[0004] The present invention provides a multi-dimensional coupling regulation method, device, equipment and medium for an electronic expansion valve of a variable-frequency energy storage refrigeration system.

[0005] In the first aspect of the present invention, a multi-dimensional coupling regulation method for an electronic expansion valve of a variable-frequency energy storage refrigeration system is provided, including:

[0006] Obtaining the operating condition state information of the variable-frequency energy storage refrigeration system; wherein, the operating condition state information includes several refrigeration cycle operating conditions in the target refrigeration system, several state variables of each refrigeration cycle operating condition, and the set interval of each refrigeration cycle operating condition for executing each state variable;

[0007] Based on a number of state variables for each refrigeration cycle condition and the set intervals for each state variable in each refrigeration cycle condition, determine a number of refrigeration control nodes of the target refrigeration system and the effective control time periods of each of the refrigeration control nodes;

[0008] Obtain the preset refrigeration control requirements, extract the control mode information and priority levels of each refrigeration control node in the refrigeration control requirements, and combine the effective control time periods of each refrigeration control node. Using the opening range of the electronic expansion valve corresponding to the control mode information and the control frequency interval corresponding to the priority level as constraint conditions, and with the lowest energy consumption as the optimization goal, optimize and solve the electronic expansion valve control strategy for the target refrigeration system;

[0009] Based on the electronic expansion valve control strategy, generate an electronic expansion valve control command, drive the electronic expansion valve to perform the corresponding opening control operation, and perform a refrigeration efficiency evaluation according to the controlled state variables;

[0010] After the electronic expansion valve finishes each opening control operation, obtain the real-time operating condition state of the refrigeration system, update the operating condition state information based on the real-time operating condition state, and regenerate the electronic expansion valve control strategy using the updated operating condition state information.

[0011] Further, the step of obtaining the operating condition state information of the variable-frequency energy storage refrigeration system specifically includes:

[0012] Obtain the historical operating condition data set of the refrigeration system, extract the historical fluctuation intervals of each state variable for different reference refrigeration cycle conditions in the historical operating condition data set, obtain the target refrigeration task, and extract a number of refrigeration cycle conditions in the target refrigeration system and a number of state variables of each refrigeration cycle condition recorded in the target refrigeration task;

[0013] Perform similarity matching according to the operating characteristics of the reference refrigeration cycle condition and each refrigeration cycle condition in the target refrigeration system, and match a number of reference refrigeration cycle conditions with an operating characteristic similarity higher than the threshold for each refrigeration cycle condition;

[0014] Based on the historical fluctuation intervals of each state variable in a number of reference refrigeration cycle conditions having a matching relationship with each refrigeration cycle condition, calculate the set interval of each state variable in each refrigeration cycle condition according to the statistical mean of the historical fluctuation intervals;

[0015] According to the set interval of each state variable in each refrigeration cycle condition, determine the set interval of each refrigeration cycle condition in the target refrigeration system when each state variable is executed, and use the set interval of each state variable to generate the operating condition state information.

[0016] Further, according to a number of state variables of each refrigeration cycle condition and the set intervals for each state variable of each refrigeration cycle condition, the steps of determining a number of refrigeration control nodes of the target refrigeration system and the effective control period of each refrigeration control node specifically include: using a number of state variables of each refrigeration cycle condition, matching the control items of each state variable in a pre-set refrigeration control strategy table, and parsing the refrigeration control points of each control item by calling the design drawings of the target refrigeration system to obtain a number of refrigeration control nodes;

[0017] According to the set intervals for each state variable of each refrigeration cycle condition, determine the effective control period of each refrigeration control node corresponding to each state variable.

[0018] Further, obtain the pre-set refrigeration control requirements, extract the control mode information and priority level of each refrigeration control node in the refrigeration control requirements, and combine the effective control period of each refrigeration control node. With the opening range of the electronic expansion valve corresponding to the control mode information and the control frequency interval corresponding to the priority level as the constraint conditions and the lowest energy consumption as the optimization goal, the steps of optimizing and solving the electronic expansion valve control strategy for the target refrigeration system specifically include: obtaining the pre-set refrigeration control requirements and extracting the control mode information and priority level of each refrigeration control node in the refrigeration control requirements; wherein, the control mode includes control modes of refrigeration efficiency corresponding to a number of different opening ranges of the electronic expansion valve, and the priority level includes the priority levels of refrigeration efficiency corresponding to a number of different control frequency intervals;

[0019] Using the control mode information and priority level, respectively match the opening of the electronic expansion valve and the control frequency of each refrigeration control node in a pre-configured mapping relationship table between the control mode and the opening range of the electronic expansion valve and a pre-configured mapping relationship table between the priority level and the control frequency interval;

[0020] Combining the effective control period of each refrigeration control node, with the opening range of the electronic expansion valve and the control frequency interval as the constraint conditions and the lowest energy consumption as the optimization goal, optimize and solve the electronic expansion valve control strategy for the target refrigeration system.

[0021] Further, combining the effective control period of each refrigeration control node, with the opening range of the electronic expansion valve and the control frequency interval as the constraint conditions and the lowest energy consumption as the optimization goal, the steps of optimizing and solving the electronic expansion valve control strategy for the target refrigeration system specifically include: constructing a thermodynamic model map of the target refrigeration system, and generating an effective control area of each refrigeration control node in the thermodynamic model map according to the opening range of the electronic expansion valve of each refrigeration control node;

[0022] Obtain the regulation rate range of the electronic expansion valve. Combine the effective regulation time period and the effective regulation area of each refrigeration regulation node. Select several regulation nodes within the range of the effective regulation time period and the effective regulation area to generate several regulation trajectories. For each regulation trajectory, the first constraint condition is that the actual regulation rate determined by the regulation time interval and the regulation point between two adjacent regulation nodes within the trajectory falls within the regulation rate range. For each refrigeration regulation node in the generated several regulation trajectories, the second constraint condition is that the regulation time intervals between two adjacent regulation nodes corresponding to each refrigeration regulation node satisfy the regulation frequency interval. With the minimum total energy consumption of the electronic expansion valve in the generated several regulation trajectories as the optimization objective, optimize and solve the regulation time and the regulation point of each regulation node in the several regulation trajectories;

[0023] Generate an electronic expansion valve regulation strategy for the target refrigeration system according to the regulation time and the regulation point of each regulation node in the several regulation trajectories.

[0024] Further, based on the electronic expansion valve regulation strategy, generate an electronic expansion valve regulation command, drive the electronic expansion valve to perform the corresponding opening degree regulation operation, and perform a refrigeration efficiency evaluation step according to the regulated state variables, which specifically includes: extract the regulation time and the regulation point of each regulation node in each regulation trajectory in the electronic expansion valve regulation strategy, and calculate the regulation rate between two adjacent regulation nodes in each regulation trajectory;

[0025] Generate an electronic expansion valve rate regulation command based on the regulation point of each regulation node and the regulation rate between two adjacent regulation nodes, generate an electronic expansion valve opening degree setting command based on the regulation time of each regulation node, and obtain the electronic expansion valve regulation command;

[0026] Send the electronic expansion valve regulation command to the electronic expansion valve, drive the electronic expansion valve to perform the corresponding opening degree regulation operation, and perform a refrigeration efficiency evaluation according to the regulated state variables.

[0027] Further, after the electronic expansion valve completes each opening degree regulation operation, obtain the real-time working condition state of the refrigeration system, update the working condition state information based on the real-time working condition state, and regenerate the electronic expansion valve regulation strategy step by using the updated working condition state information, which specifically includes: after the electronic expansion valve completes each opening degree regulation operation, obtain the real-time working condition state of the target refrigeration system, and extract the actual interval of the current state variable of each refrigeration cycle working condition in the real-time working condition state;

[0028] Based on the set interval of each state variable for each refrigeration cycle condition in the working condition state information and the actual interval of the current state variable of each refrigeration cycle condition in the real-time working condition state, determine whether the time coincidence degree between the actual interval and the set interval of the corresponding state variable is lower than a preset threshold. If so, define the state variable corresponding to the actual interval as an offset parameter;

[0029] Determine whether the number of state variables belonging to the offset parameter among the current state variables of each refrigeration cycle condition in the real-time working condition state exceeds a preset threshold. If so, update the working condition state information based on the real-time working condition state, and regenerate the electronic expansion valve control strategy using the updated working condition state information.

[0030] In the second aspect of the present invention, a multi-dimensional coupling control device for an electronic expansion valve of a variable-frequency energy storage refrigeration system is provided, including:

[0031] A working condition parameter acquisition module for acquiring the working condition state information of the variable-frequency energy storage refrigeration system; wherein, the working condition state information includes several refrigeration cycle conditions in the target refrigeration system, several state variables of each refrigeration cycle condition, and the set interval for each refrigeration cycle condition to execute each state variable;

[0032] A control node determination module for determining several refrigeration control nodes of the target refrigeration system and the effective control period of each refrigeration control node according to several state variables of each refrigeration cycle condition and the set interval for each refrigeration cycle condition to execute each state variable;

[0033] A strategy optimization module for obtaining the preset refrigeration control requirements, extracting the control mode information and priority level of each refrigeration control node in the refrigeration control requirements, combining the effective control period of each refrigeration control node, using the opening range of the electronic expansion valve corresponding to the control mode information and the control frequency interval corresponding to the priority level as constraint conditions, and taking the lowest energy consumption as the optimization goal to optimize and solve the electronic expansion valve control strategy for the target refrigeration system;

[0034] An execution evaluation module for generating an electronic expansion valve control command based on the electronic expansion valve control strategy, driving the electronic expansion valve to perform the corresponding opening control operation, and performing refrigeration efficiency evaluation according to the state variable after the control;

[0035] A state update module for, after the electronic expansion valve executes each opening control operation, acquiring the real-time working condition state of the refrigeration system, updating the working condition state information based on the real-time working condition state, and regenerating the electronic expansion valve control strategy using the updated working condition state information.

[0036] In the third aspect of the present invention, there is provided a multi-dimensional coupling control device for an electronic expansion valve of a variable-frequency energy storage refrigeration system. The control device includes: a memory, a processor, and a refrigeration control program stored on the memory and executable on the processor. When the refrigeration control program is executed by the processor, it realizes the steps of the multi-dimensional coupling control method for the electronic expansion valve of the variable-frequency energy storage refrigeration system described in any one of the first aspects.

[0037] In the fourth aspect of the present invention, there is provided a storage medium with a refrigeration control program stored thereon. When the refrigeration control program is executed by a processor, it realizes the steps of the multi-dimensional coupling control method for the electronic expansion valve of the variable-frequency energy storage refrigeration system described in any one of the first aspects.

[0038] According to the above embodiments of the present invention, it has at least the following beneficial effects: The multi-dimensional coupling control method and device for the electronic expansion valve of the variable-frequency energy storage refrigeration system of the present invention can realize the real-time monitoring and dynamic update of the operating condition state information of the refrigeration system, ensuring that the control strategy always matches the current operating state. By accurately identifying the offset parameters and timely adjusting the control strategy, it can effectively cope with various deviations during the operation of the system, improving the stability and reliability of the refrigeration system. In addition, this method can also dynamically optimize the opening control of the electronic expansion valve according to the real-time operating conditions, further reducing energy consumption and enhancing the overall energy efficiency performance of the refrigeration system.

[0039] At the same time, by introducing a dynamic update mechanism, the present invention can real-time monitor key parameters of the refrigeration system, such as temperature, pressure, flow rate, etc., and dynamically adjust the operating condition state information according to the changes of these parameters. This method can effectively avoid the problem of control lag caused by changes in operating conditions, ensuring that the refrigeration system always operates in the best state. In addition, by dynamically updating the control strategy, the control accuracy of the electronic expansion valve can be further optimized, improving the adaptability and flexibility of the refrigeration system, enabling it to better cope with complex operating environments and diverse refrigeration task requirements. Description of the Drawings

[0040] By referring to the accompanying drawings and reading the following detailed description, the above and other objects, features, and advantages of the exemplary embodiments of the present invention will become easily understood. In the drawings, several embodiments of the present invention are shown in an exemplary rather than restrictive manner, wherein:

[0041] Figure 1 It is a schematic flowchart of the multi-dimensional coupling control method for the electronic expansion valve of the variable-frequency energy storage refrigeration system provided by an embodiment of the present invention;

[0042] Figure 2 It is a schematic structural diagram of the multi-dimensional coupling control device for the electronic expansion valve of the variable-frequency energy storage refrigeration system provided by an embodiment of the present invention;

[0043] Figure 3 The schematic structural diagram of an electronic device according to an embodiment of the present invention is schematically shown. Detailed implementation manners

[0044] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are given only to enable those skilled in the art to better understand and then implement the present invention, rather than limiting the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to be able to fully convey the scope of the present invention to those skilled in the art.

[0045] Those skilled in the art know that the embodiments of the present invention can be implemented as a device, apparatus, equipment, method, or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0046] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0047] The following reference is made to Figure 1 , Figure 1 which is a schematic flow chart of a multi-dimensional coupling regulation method for an electronic expansion valve of a variable-frequency energy storage refrigeration system provided for an embodiment of the present invention. As Figure 1 shown, a multi-dimensional coupling regulation method for an electronic expansion valve of a variable-frequency energy storage refrigeration system includes:

[0048] S1 Obtain the operating condition information of the variable-frequency energy storage refrigeration system; wherein, the operating condition information includes several refrigeration cycle conditions in the target refrigeration system, several state variables of each refrigeration cycle condition, and the set interval for each refrigeration cycle condition to execute each state variable;

[0049] S2 Determine several refrigeration regulation nodes of the target refrigeration system and the effective regulation time period of each refrigeration regulation node according to several state variables of each refrigeration cycle condition and the set interval for each refrigeration cycle condition to execute each state variable;

[0050] S3 Obtain the preset refrigeration regulation requirements, extract the regulation mode information and priority level of each refrigeration regulation node in the refrigeration regulation requirements, combine the effective regulation time period of each refrigeration regulation node, and use the opening range of the electronic expansion valve corresponding to the regulation mode information and the regulation frequency interval corresponding to the priority level as constraint conditions, and optimize and solve the electronic expansion valve regulation strategy for the target refrigeration system with the lowest energy consumption as the optimization goal;

[0051] S4 generates an electronic expansion valve control command based on the above-mentioned electronic expansion valve control strategy, drives the electronic expansion valve to perform corresponding opening degree control operations, and performs refrigeration efficiency evaluation according to the regulated state variables;

[0052] S5 After the electronic expansion valve finishes each opening degree control operation, obtain the real-time working condition state of the refrigeration system, update the working condition state information based on the real-time working condition state, and regenerate the electronic expansion valve control strategy using the updated working condition state information.

[0053] It should be noted that the variable-frequency energy storage refrigeration system mentioned in the present invention is a system that optimizes the refrigeration effect by adjusting the compressor frequency and using an energy storage device. Its core lies in achieving efficient refrigeration through precise control of the electronic expansion valve. Among them, the working condition state information refers to the states of various parameters during the operation of the system, including the refrigeration cycle working condition, state variables and their set intervals, etc. The refrigeration cycle working condition refers to the working state of the refrigeration system under different operation modes, such as refrigeration, heating or dehumidification modes; the state variables refer to the key parameters affecting the refrigeration effect, such as temperature, pressure, flow rate, etc.; the set interval refers to the range that these state variables should maintain during normal operation. By obtaining this information, it can provide a data basis for subsequent control strategies and ensure that the system operates in the best state.

[0054] Specifically, the refrigeration control node refers to the key positions that need to be controlled in the refrigeration system, such as the installation position of the electronic expansion valve, etc. The determination of these nodes is based on the state variables and their set intervals and is achieved by matching a pre-set refrigeration control strategy table. The effective control period refers to the time range during which each control node can perform effective control under a specific refrigeration cycle working condition. For example, in a refrigeration cycle, when the system pressure reaches a certain threshold, the electronic expansion valve needs to adjust its opening degree within a specific time period to maintain system stability. The control mode information refers to the opening degree range of the electronic expansion valve set for different refrigeration demands, and the priority level is the ranking of different control modes according to the refrigeration efficiency. For example, in the case of energy conservation priority, a low-energy consumption control mode is preferably selected. The introduction of these concepts makes the control strategy more flexible and precise, and can be optimized according to different working conditions and demands.

[0055] Preferably, when constructing the thermodynamic model atlas of the target refrigeration system, it is necessary to input the basic parameters of the refrigeration system, such as the physical properties of the refrigerant, the performance curve of the compressor, the heat transfer coefficient of the heat exchanger, etc. Through these parameters, the effective regulation area of each refrigeration regulation node can be generated, that is, within this area, the change in the opening of the electronic expansion valve can effectively affect the refrigeration effect. When optimizing and solving the regulation strategy of the electronic expansion valve, multiple constraint conditions need to be considered, such as the regulation rate range, the regulation frequency interval, etc. The regulation rate range refers to the allowable range of the opening change of the electronic expansion valve per unit time to ensure the stable operation of the system; the regulation frequency interval refers to the range of the number of times the electronic expansion valve adjusts its opening within a unit time, which is closely related to the dynamic response ability and energy consumption of the system. By taking the minimum energy consumption as the optimization goal under these constraint conditions, the optimal regulation trajectory can be solved, that is, the regulation time and regulation point of each regulation node, so as to achieve the refined regulation of the electronic expansion valve and improve the overall performance of the refrigeration system.

[0056] In some embodiments, the steps of obtaining the operating condition information of the variable-frequency energy storage refrigeration system specifically include:

[0057] Obtain the historical operating condition data set of the refrigeration system, extract the historical fluctuation range of each state variable in different reference refrigeration cycle operating conditions in the historical operating condition data set, obtain the target refrigeration task, and extract several refrigeration cycle operating conditions in the target refrigeration system recorded in the target refrigeration task and several state variables of each refrigeration cycle operating condition;

[0058] According to the similarity matching of the operating characteristics between the reference refrigeration cycle operating condition and each refrigeration cycle operating condition in the target refrigeration system, match several reference refrigeration cycle operating conditions with an operating characteristic similarity higher than the threshold for each refrigeration cycle operating condition;

[0059] Based on the historical fluctuation range of each state variable in several reference refrigeration cycle operating conditions with a matching relationship for each refrigeration cycle operating condition, calculate the set range of each state variable in each refrigeration cycle operating condition according to the statistical mean of the historical fluctuation range;

[0060] According to the set range of each state variable in each refrigeration cycle operating condition, determine the set range of each state variable in each refrigeration cycle operating condition in the target refrigeration system when executing, and use the set range of each state variable to generate the operating condition information.

[0061] It should be noted that when obtaining the operating condition information of the variable-frequency energy storage refrigeration system, the present invention adopts a method combining historical data and target tasks. The core of this method is to determine the operating condition information of the target refrigeration system by analyzing the fluctuation ranges of state variables of different reference refrigeration cycle operating conditions in the historical operating condition dataset and combining the specific requirements of the target refrigeration task. Among them, the historical operating condition dataset refers to a large amount of operating data accumulated during the previous operation of the system, and these data include the change conditions of key parameters such as temperature, pressure, and flow rate under different operating conditions. The reference refrigeration cycle operating condition refers to a typical operating condition representative in the historical data. By analyzing these typical operating conditions, the historical fluctuation ranges of state variables can be extracted to provide a reference for subsequent target refrigeration tasks. The target refrigeration task refers to the specific refrigeration requirements to be achieved currently, including information such as the required refrigeration mode and temperature range. Through this method, more appropriate operating characteristics can be matched for each refrigeration cycle operating condition, thereby providing more accurate data support for the regulation strategy of the electronic expansion valve.

[0062] Specifically, similarity matching refers to finding the reference operating conditions with similar operating characteristics by comparing the operating characteristics of the reference refrigeration cycle operating conditions and each refrigeration cycle operating condition in the target refrigeration system. The operating characteristics can include parameters such as refrigeration mode, temperature change range, and pressure fluctuation. By calculating the similarity between these parameters, several reference refrigeration cycle operating conditions with a similarity higher than the threshold are selected. For example, if the target refrigeration task requires efficient refrigeration in a low-temperature environment, the system will screen out the reference operating conditions that operate well in a similar low-temperature environment from the historical data. The set range of the state variable is calculated based on the historical fluctuation range of the state variable in the matched reference operating condition according to the statistical mean. For example, if the historical data shows that the fluctuation range of a certain state variable in the reference operating condition is 10 to 20 degrees Celsius, the set range can take a range near its mean value, such as 15 ± 2 degrees Celsius. In this way, a reasonable operating range of the state variable can be determined for each refrigeration cycle operating condition, providing basic data for subsequent regulation strategies.

[0063] Preferably, when obtaining the historical operating condition dataset, the data can be preprocessed, such as removing abnormal data points, to improve the accuracy and reliability of the data. When calculating the set range of the state variable, more complex statistical methods, such as weighted average or median, can be used to better reflect the distribution characteristics of the historical data. In addition, when performing similarity matching, more parameters can be introduced to improve the accuracy of the matching, such as considering the type of refrigerant and the model of the compressor. Through these optimization measures, the accuracy and reliability of the operating condition information can be further improved, thereby providing a more solid data foundation for the multi-dimensional coupling regulation of the electronic expansion valve.

[0064] In some embodiments, the steps of determining a plurality of refrigeration control nodes of the target refrigeration system and the effective control period of each refrigeration control node according to a plurality of state variables of each refrigeration cycle condition and the set interval of each state variable for each refrigeration cycle condition specifically include: using a plurality of state variables of each refrigeration cycle condition, matching the control items of each state variable in a preset refrigeration control strategy table, and parsing the refrigeration control points of each control item by calling the design drawings of the target refrigeration system to obtain a plurality of refrigeration control nodes;

[0065] According to the set interval of each state variable for each refrigeration cycle condition, determine the effective control period of each refrigeration control node corresponding to each state variable.

[0066] It should be noted that when the present invention determines the refrigeration control nodes and the effective control period, a method combining state variable control items and system design drawings is adopted. The core of this method is to accurately locate the control nodes by matching the state variable control items of each refrigeration cycle condition and combining the design drawings of the refrigeration system. Among them, the refrigeration control strategy table is a preset table that records the control items corresponding to different state variables. These control items refer to the specific operations that need to be adjusted in the refrigeration system, such as adjusting the opening degree of the electronic expansion valve or changing the frequency of the compressor. The refrigeration control point is the specific position in the refrigeration system where these control operations can be implemented, such as the installation position of the electronic expansion valve or the control interface of the compressor. By calling the design drawings of the refrigeration system, the specific positions of these control points can be clarified, thereby determining the refrigeration control nodes. The effective control period is determined according to the set interval of the state variables in the refrigeration cycle condition, that is, within these intervals, the control operation can effectively affect the operating state of the refrigeration system.

[0067] Specifically, the state variable control item refers to the control task set for each state variable (such as temperature, pressure, etc.). For example, when the temperature state variable needs to be adjusted, the corresponding control item may be to adjust the opening degree of the electronic expansion valve to control the refrigerant flow. The refrigeration control node is determined by matching the control item of the state variable in the refrigeration control strategy table and combining the corresponding control point in the refrigeration system design drawing. For example, if the design drawing shows that the electronic expansion valve is installed at the inlet of the evaporator, then this position is the refrigeration control node. The effective control period refers to the time range within which the state variable is within the set interval in the refrigeration cycle condition. Within this time range, the control operation can effectively affect the operating state of the refrigeration system. For example, if the temperature set interval is from 15°C to 20°C, then when the system temperature is within this interval, the effective control period of the corresponding control node (such as the electronic expansion valve) is the duration when the temperature is within this range.

[0068] Preferably, when determining the refrigeration control nodes, the content of the control strategy table can be further refined, for example, by adding more control items for state variables and corresponding control parameters. At the same time, when calling the design drawings of the refrigeration system, computer-aided design (CAD) software can be used to accurately analyze the coordinate information of the control points to ensure the accuracy of the control nodes. When determining the effective control period, more refined time intervals can be set according to the change trend of the state variables and the dynamic response characteristics of the system. For example, for the temperature state variable, the start and end times of the effective control period can be dynamically adjusted according to the rising or falling rate of the system temperature, so as to achieve more precise control operations and improve the operating efficiency and stability of the refrigeration system.

[0069] In some embodiments, obtaining a preset refrigeration control requirement, extracting the control mode information and priority level of each refrigeration control node in the refrigeration control requirement, combining the effective control period of each refrigeration control node, and using the electronic expansion valve opening range corresponding to the control mode information and the control frequency interval corresponding to the priority level as constraint conditions, and taking the minimum energy consumption as the optimization goal, the steps of optimizing and solving the electronic expansion valve control strategy for the target refrigeration system specifically include: obtaining a preset refrigeration control requirement, and extracting the control mode information and priority level of each refrigeration control node in the refrigeration control requirement; wherein, the control mode includes several control modes corresponding to the refrigeration efficiency of different electronic expansion valve opening ranges, and the priority level includes the priority levels of the refrigeration efficiency corresponding to several different control frequency intervals;

[0070] Using the control mode information and priority level, respectively match the electronic expansion valve opening and control frequency of each refrigeration control node in the pre-configured mapping relationship table between the control mode and the electronic expansion valve opening range and the pre-configured mapping relationship table between the priority level and the control frequency interval;

[0071] Combining the effective control period of each refrigeration control node, using the electronic expansion valve opening range and the control frequency interval as constraint conditions, and taking the minimum energy consumption as the optimization goal, optimize and solve the electronic expansion valve control strategy for the target refrigeration system.

[0072] It should be noted that when optimizing the control strategy of the electronic expansion valve in the present invention, a method combining refrigeration control requirements, control mode information, and priorities is adopted. The core of this method lies in analyzing the preset refrigeration control requirements, extracting the control mode information and priorities of each refrigeration control node, and combining the effective control time period to solve the control strategy of the electronic expansion valve with the minimum energy consumption as the optimization goal. Among them, the control mode information refers to the opening range of the electronic expansion valve and the corresponding refrigeration efficiency control mode set for different refrigeration requirements. For example, in the energy-saving mode, the opening range of the electronic expansion valve may be relatively small to reduce energy consumption, while in the high-efficiency refrigeration mode, the opening range may be relatively large to improve the refrigeration effect. The priority refers to the ranking of different control modes according to the refrigeration efficiency. For example, in the case of energy-saving priority, the control mode with low energy consumption has a higher priority, and its control frequency may be lower, such as adjusting once per hour; while in the case of high-efficiency refrigeration priority, the control frequency may be higher, such as adjusting once per minute. In this way, it can ensure that while meeting the refrigeration requirements, the energy consumption performance of the system is optimized.

[0073] Specifically, the control mode information includes several refrigeration efficiency control modes corresponding to different opening ranges of the electronic expansion valve, and these modes can be set according to actual needs, such as the energy-saving mode, the high-efficiency refrigeration mode, etc. Each mode corresponds to a specific opening range of the electronic expansion valve. For example, in the energy-saving mode, the opening range is 10% to 30%, and in the high-efficiency refrigeration mode, the opening range is 70% to 90%. The priority includes the refrigeration efficiency priorities corresponding to several different control frequency intervals. For example, in the case of energy-saving priority, the control mode with low energy consumption is preferably selected, and its control frequency may be lower, such as adjusting once per hour; while in the case of high-efficiency refrigeration priority, the control frequency may be higher, such as adjusting once per minute. By matching the opening of the electronic expansion valve and the control frequency of each refrigeration control node in the pre-configured mapping relationship table, specific control parameters can be determined for each control node. The setting of these parameters needs to be carried out according to the actual operation requirements and design requirements of the system to ensure the effectiveness and adaptability of the control strategy.

[0074] Preferably, when optimizing and solving the control strategy of the electronic expansion valve, the matching process of the control mode information and the priority level can be further refined. For example, more control modes can be introduced, such as the medium energy consumption mode, whose opening range is between the energy-saving mode and the high-efficiency refrigeration mode, and the priority level can be dynamically adjusted according to the actual operating state of the system. When constructing the mapping relation table, more parameters can be input, such as the type of refrigerant, ambient temperature, load conditions, etc., to improve the accuracy of the control strategy. When processing information data, data mining techniques can be used to analyze historical data and extract the optimal combination of control modes and priority levels. For example, by analyzing historical energy consumption data and refrigeration effect data, determine the most energy-saving and efficient control mode and priority level settings under different working conditions. Through these refined operation steps, the control strategy of the electronic expansion valve can be further optimized, and the overall performance and energy efficiency of the refrigeration system can be improved.

[0075] In some embodiments, in combination with the effective control period of each refrigeration control node, with the opening range of the electronic expansion valve and the control frequency range as constraint conditions, and with the minimum energy consumption as the optimization goal, the steps of optimizing and solving the control strategy of the electronic expansion valve for the target refrigeration system specifically include: constructing a thermodynamic model map of the target refrigeration system, and generating an effective control region for each refrigeration control node in the thermodynamic model map according to the opening range of the electronic expansion valve of each refrigeration control node;

[0076] Obtain the control rate range of the electronic expansion valve. In combination with the effective control period and the effective control region of each refrigeration control node, select several control nodes within the range of the effective control period and the effective control region. Among the generated several control trajectories, the first constraint condition is that the actual control rate determined by the control time interval and the control point position corresponding to two adjacent control nodes within each control trajectory falls within the control rate range. Among the generated several control trajectories, the second constraint condition is that the control time interval corresponding to two adjacent control nodes of each refrigeration control node satisfies the control frequency range. With the minimum total energy consumption of the electronic expansion valve in the generated several control trajectories as the optimization goal, optimize and solve the control time and control point position of each control node in the several control trajectories;

[0077] Generate a control strategy for the electronic expansion valve for the target refrigeration system according to the control time and control point position of each control node in the several control trajectories.

[0078] It should be noted that when optimizing the control strategy of the electronic expansion valve in the present invention, an optimization method based on a thermodynamic model atlas and multiple constraint conditions is adopted. The core of this method lies in constructing a thermodynamic model atlas of the refrigeration system, combining the control rate range and the effective control period of the electronic expansion valve, and taking the minimum energy consumption as the optimization goal to solve the optimal control trajectory. Among them, the thermodynamic model atlas refers to a model constructed based on the physical characteristics and operating parameters of the refrigeration system, which is used to describe the thermodynamic behavior of the system under different working conditions. By generating the effective control region of each refrigeration control node in this model, a theoretical basis can be provided for the control strategy of the electronic expansion valve. The control rate range refers to the allowable range of the opening change of the electronic expansion valve per unit time, and the setting of this parameter needs to consider the dynamic response ability and stability of the system.

[0079] Specifically, the thermodynamic model atlas is constructed by inputting the basic parameters of the refrigeration system (such as the physical properties of the refrigerant, the performance curve of the compressor, the heat transfer coefficient of the heat exchanger, etc.). These parameters determine the thermodynamic behavior of the refrigeration system under different working conditions, such as the phase change process of the refrigerant, the power output of the compressor, and the heat exchange efficiency of the heat exchanger. Through these parameters, the effective control region of each refrigeration control node can be generated, that is, within this region, the opening change of the electronic expansion valve can effectively affect the refrigeration effect. The control rate range refers to the allowable range of the opening change of the electronic expansion valve per unit time. For example, the opening change per second does not exceed 10%. The setting of this parameter needs to consider the dynamic response ability and stability of the system to avoid excessive pressure fluctuations in the system due to too fast opening. At the same time, the control frequency interval refers to the range of the number of times the electronic expansion valve adjusts its opening within a unit time. For example, it is adjusted 1 to 5 times per minute, and the setting of this parameter needs to be determined according to the actual needs and energy consumption requirements of the system.

[0080] Preferably, when constructing the thermodynamic model atlas, numerical simulation methods such as finite element analysis or computational fluid dynamics (CFD) simulation can be adopted to more accurately describe the thermodynamic behavior of the refrigeration system. The input parameters can include the specific heat capacity, thermal conductivity of the refrigerant, the rotational speed and power of the compressor, the size and material of the heat exchanger, etc. Through these parameters, a detailed thermodynamic model atlas can be generated, providing a more accurate theoretical basis for the optimization solution. In the optimization solution process, intelligent optimization algorithms such as genetic algorithms or particle swarm optimization algorithms can be adopted, taking the minimum energy consumption as the optimization goal and satisfying constraint conditions such as the control rate range and the control frequency interval. These algorithms can search for the optimal solution through iteration, and finally determine the control time and control point of each control node, thereby generating the optimal control trajectory. Through these refined operation steps, the optimization effect of the electronic expansion valve control strategy can be further improved, and the overall performance and energy efficiency performance of the refrigeration system can be enhanced.

[0081] In some embodiments, based on the electronic expansion valve regulation strategy, an electronic expansion valve regulation instruction is generated to drive the electronic expansion valve to perform a corresponding opening regulation operation, and a refrigeration efficiency evaluation step is performed according to the regulated state variables, which specifically includes: extracting the regulation time and regulation point of each regulation node in each regulation trajectory in the electronic expansion valve regulation strategy, and calculating the regulation rate between two adjacent regulation nodes in each regulation trajectory;

[0082] Based on the regulation point of each regulation node and the regulation rate between two adjacent regulation nodes, an electronic expansion valve rate regulation instruction is generated, and an electronic expansion valve opening setting instruction is generated based on the regulation time of each regulation node to obtain an electronic expansion valve regulation instruction;

[0083] The electronic expansion valve regulation instruction is sent to the electronic expansion valve to drive the electronic expansion valve to perform a corresponding opening regulation operation, and a refrigeration efficiency evaluation is performed according to the regulated state variables.

[0084] It should be noted that when the present invention executes the electronic expansion valve regulation strategy, a refined control method based on the regulation trajectory and regulation rate is adopted. The core of this method lies in extracting the regulation trajectory information in the regulation strategy, calculating the regulation rate between adjacent regulation nodes in each regulation trajectory, and generating corresponding electronic expansion valve regulation instructions. Among them, the regulation trajectory refers to the opening change path of the electronic expansion valve between different regulation nodes, which describes how the electronic expansion valve transitions from one opening state to another within a specific time series. The regulation rate refers to the speed at which the opening of the electronic expansion valve changes per unit time in the regulation trajectory, and this parameter is crucial for ensuring the stability and regulation accuracy of the system. In this way, precise control of the electronic expansion valve can be achieved, thereby optimizing the operating efficiency and refrigeration effect of the refrigeration system.

[0085] Specifically, the regulation trajectory refers to the electronic expansion valve opening change path generated during the optimization solution process, which consists of a series of regulation nodes, and each regulation node includes a regulation time and a regulation point. For example, a regulation trajectory may include adjusting the opening of the electronic expansion valve to 30% at the 1st minute and to 50% at the 3rd minute, and so on. The regulation rate is determined by calculating the difference in opening between adjacent regulation nodes divided by the time difference. For example, if the opening change from 30% to 50% is completed within 2 minutes, the regulation rate is 10% per minute. This calculation method can ensure that the opening change of the electronic expansion valve is within the allowable rate range, avoiding system instability caused by too fast or too slow opening changes. In addition, the electronic expansion valve rate regulation instruction and the electronic expansion valve opening setting instruction are control signals generated according to the regulation rate and regulation point, and these signals are sent to the driver of the electronic expansion valve to achieve precise opening control.

[0086] Preferably, when generating the control command for the electronic expansion valve, the calculation process of the control rate can be further refined. For example, a non-linear interpolation method can be considered to calculate the control rate to achieve a smoother transition of the opening degree and reduce system oscillation. At the same time, when generating the control command, a feedback mechanism can be introduced to monitor the actual opening degree of the electronic expansion valve in real time and make dynamic adjustments according to the deviation between the actual opening degree and the set opening degree. For example, if the actual opening degree is lower than the set opening degree, the control rate can be appropriately increased; otherwise, it can be decreased. In addition, after performing the control operation, key parameters of the refrigeration system (such as temperature, pressure, etc.) can be collected by sensors, and the refrigeration efficiency can be evaluated based on these parameters. For example, by comparing the deviation between the actual refrigeration effect and the expected target, the subsequent control strategy can be adjusted to further optimize the operating performance of the system. Through these refined operation steps, the accuracy and reliability of the electronic expansion valve control can be improved, ensuring that the refrigeration system can operate efficiently and stably under various working conditions.

[0087] In some embodiments, after the electronic expansion valve completes each opening degree control operation, the real-time working condition state of the refrigeration system is obtained, the working condition state information is updated based on the real-time working condition state, and the electronic expansion valve control strategy steps are regenerated using the updated working condition state information. Specifically, it includes: after the electronic expansion valve completes each opening degree control operation, the real-time working condition state of the target refrigeration system is obtained, and the actual interval of each current state variable of each refrigeration cycle working condition in the real-time working condition state is extracted;

[0088] Based on the set interval of each state variable of each refrigeration cycle working condition in the working condition state information and the actual interval of each current state variable of each refrigeration cycle working condition in the real-time working condition state, it is judged whether the time coincidence degree between the actual interval and the set interval of the corresponding state variable is lower than the preset threshold. If so, the state variable corresponding to the actual interval is defined as an offset parameter;

[0089] It is judged whether the number of state variables belonging to the offset parameter in each current state variable of each refrigeration cycle working condition in the real-time working condition state exceeds the preset threshold. If so, the working condition state information is updated based on the real-time working condition state, and the electronic expansion valve control strategy is regenerated using the updated working condition state information.

[0090] It should be noted that after the electronic expansion valve completes each opening adjustment operation, the present invention adopts a dynamic update mechanism based on the real-time operating conditions. The core of this method lies in obtaining the real-time operating conditions of the refrigeration system, comparing them with the preset operating condition information, judging whether there is a deviation in the system operation, and thus dynamically adjusting the operating condition information and regenerating the control strategy for the electronic expansion valve. Among them, the real-time operating conditions refer to the current actual operating state of the system after the electronic expansion valve completes an adjustment operation, including the actual values of the state variables under each refrigeration cycle condition. The offset parameter refers to the state variable whose coincidence degree of the actual interval and the set interval in time is lower than the preset threshold. The appearance of these parameters indicates that there is a deviation between the system operating state and the expectation, and the control strategy needs to be adjusted.

[0091] Specifically, the real-time operating conditions refer to the current actual operating state of the system after the electronic expansion valve completes an opening adjustment operation, including the actual values of the state variables under each refrigeration cycle condition. For example, the actual measured values of state variables such as temperature, pressure, and flow rate. The offset parameter refers to the state variable whose coincidence degree of the actual interval and the set interval in time is lower than the preset threshold. For example, if the set interval is that the temperature is between 15°C and 20°C, and the real-time measured temperature interval is between 10°C and 15°C, and the time coincidence degree between the two is lower than the set threshold (such as 80%), then the temperature is regarded as an offset parameter. In addition, the preset threshold refers to the reference value used to judge whether the coincidence degree of the actual interval and the set interval of the state variable in time is qualified, such as 80% or 90%. In this way, the deviation occurring in the system operation can be identified, and the control strategy can be adjusted in a timely manner to ensure that the system operates in the best state.

[0092] Preferably, when judging the real-time operating conditions, the identification process of the offset parameter can be further refined. For example, more state variables can be introduced for monitoring, such as humidity, refrigerant flow rate, etc., to more comprehensively evaluate the system operating state. At the same time, when judging the offset parameter, more complex statistical methods can be adopted, such as weighted average or moving average, to reduce the influence of accidental errors. In addition, when updating the operating condition information, historical data can be combined for analysis. For example, by comparing the current state with the state under similar historical operating conditions, the set interval can be dynamically adjusted. When regenerating the control strategy, an adaptive algorithm can be introduced to automatically adjust the control parameters according to the change of the real-time operating conditions. For example, the opening range and control frequency of the electronic expansion valve can be adjusted according to the type and degree of the offset parameter. Through these refined operation steps, the self-adaptability and stability of the system can be further improved, ensuring that the refrigeration system can operate efficiently and stably under various complex operating conditions.

[0093] The above embodiments of the present invention have the following beneficial effects: The present invention can dynamically match the optimal electronic expansion valve control strategy based on the real-time operating conditions of the refrigeration system, and achieve precise control through multi-parameter coupling optimization. By analyzing the refrigeration cycle operating conditions, state variables and their set intervals, the key control nodes and effective control periods can be accurately identified. Combining the control requirements and priority constraint conditions, an optimal opening adjustment scheme that takes into account energy efficiency and performance can be generated, improving the system response speed and stability.

[0094] This method can continuously track the changes in state variables after control, and achieve dynamic optimization of the strategy through real-time efficiency evaluation and operating condition update. By constructing a thermodynamic model map and combining constraint conditions such as control rate and frequency, it can ensure that the adjustment process of the electronic expansion valve is smooth and reliable, avoiding overshoot or oscillation. At the same time, based on the offset parameter detection and strategy recalculation mechanism, the control parameters can be adaptively adjusted to make the system always operate under the best conditions, ultimately achieving the dual optimization effects of improving refrigeration efficiency and reducing energy consumption.

[0095] As Figure 2 shown, a multi-dimensional coupling control device for an electronic expansion valve of a variable-frequency energy storage refrigeration system in some embodiments, the device includes:

[0096] An operating condition parameter acquisition module 201, configured to acquire the operating condition information of the variable-frequency energy storage refrigeration system; wherein, the operating condition information includes several refrigeration cycle operating conditions in the target refrigeration system, several state variables of each refrigeration cycle operating condition, and the set interval of each refrigeration cycle operating condition when executing each state variable;

[0097] A control node determination module 202, configured to determine several refrigeration control nodes of the target refrigeration system and the effective control period of each refrigeration control node according to several state variables of each refrigeration cycle operating condition and the set interval of each refrigeration cycle operating condition when executing each state variable;

[0098] A strategy optimization module 203, configured to obtain the preset refrigeration control requirements, extract the control mode information and priority levels of each refrigeration control node in the refrigeration control requirements, combine the effective control periods of each refrigeration control node, and use the opening range of the electronic expansion valve corresponding to the control mode information and the control frequency interval corresponding to the priority level as constraint conditions, and optimize and solve the electronic expansion valve control strategy for the target refrigeration system with the lowest energy consumption as the optimization goal;

[0099] An execution evaluation module 204, configured to generate an electronic expansion valve control instruction based on the electronic expansion valve control strategy, drive the electronic expansion valve to perform the corresponding opening adjustment operation, and perform refrigeration efficiency evaluation according to the state variables after control;

[0100] A status update module 205, configured to obtain the real-time operating condition status of the refrigeration system after each opening adjustment operation of the electronic expansion valve, update the operating condition status information based on the real-time operating condition status, and regenerate an electronic expansion valve control strategy by using the updated operating condition status information.

[0101] It can be understood that the modules described in the multi-dimensional coupling control device of the electronic expansion valve of the variable-frequency energy storage refrigeration system correspond to the respective steps in the multi-dimensional coupling control method of the electronic expansion valve of the variable-frequency energy storage refrigeration system described in the reference Figure 1 Therefore, the operations, features, and beneficial effects described above for the multi-dimensional coupling control method of the electronic expansion valve of the variable-frequency energy storage refrigeration system are equally applicable to the multi-dimensional coupling control device of the electronic expansion valve of the variable-frequency energy storage refrigeration system and the modules included therein, and will not be elaborated herein.

[0102] Next, refer to Figure 3 , which shows a schematic structural diagram of an electronic device 300 suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal device shown is only an example and should not impose any limitations on the functions and usage scopes of the embodiments of the present invention.

[0103] As Figure 3 shown, the electronic device 300 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 301, which may perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other through a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0104] Generally, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device 300 to communicate with other devices wirelessly or wiredly to exchange data. AlthoughFigure 3 An electronic device 300 with various devices is shown, but it should be understood that it is not required to implement or have all the shown devices. Instead, more or fewer devices may be implemented or had. Figure 3 Each box shown in may represent a device or, as needed, multiple devices.

[0105] Furthermore, the storage medium of the embodiments of the present application stores program instructions capable of implementing all the above methods. Among them, the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, or terminal devices such as computers, servers, mobile phones, and tablets.

[0106] The above description is only some preferred embodiments of the present invention and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the technical solutions formed by mutually replacing the above features with the (but not limited to) technical features having similar functions disclosed in the embodiments of the present invention.

Claims

1. A multi-dimensional coupling control method for an electronic expansion valve of a variable-frequency energy storage refrigeration system, characterized in that Including: Obtaining the operating condition state information of a variable-frequency energy storage refrigeration system; The operating condition state information includes several refrigeration cycle operating conditions in the target refrigeration system, several state variables of each refrigeration cycle operating condition, and the setting interval for each state variable when each refrigeration cycle operating condition executes; Based on several state variables of each refrigeration cycle operating condition and the setting interval for each state variable when each refrigeration cycle operating condition executes, determining several refrigeration control nodes of the target refrigeration system and the effective control time period of each refrigeration control node; Obtaining the preset refrigeration control requirements, extracting the control mode information and priority level of each refrigeration control node in the refrigeration control requirements, combining the effective control time period of each refrigeration control node, using the opening range of the electronic expansion valve corresponding to the control mode information and the control frequency interval corresponding to the priority level as constraint conditions, and taking the lowest energy consumption as the optimization goal to optimize and solve the electronic expansion valve control strategy for the target refrigeration system; Based on the electronic expansion valve control strategy, generating an electronic expansion valve control instruction, driving the electronic expansion valve to perform the corresponding opening control operation, and performing refrigeration efficiency evaluation according to the state variables after regulation; After the electronic expansion valve finishes each opening control operation, obtaining the real-time operating condition state of the refrigeration system, updating the operating condition state information based on the real-time operating condition state, and regenerating the electronic expansion valve control strategy using the updated operating condition state information; Among them, the obtaining of the operating condition state information of the variable-frequency energy storage refrigeration system specifically includes the following steps: Obtaining the historical operating condition data set of the refrigeration system, extracting the historical fluctuation interval of each state variable in different reference refrigeration cycle operating conditions in the historical operating condition data set, obtaining the target refrigeration task, and extracting several refrigeration cycle operating conditions in the target refrigeration system recorded in the target refrigeration task and several state variables of each refrigeration cycle operating condition; Performing similarity matching according to the operating characteristics of the reference refrigeration cycle operating condition and each refrigeration cycle operating condition in the target refrigeration system, and matching several reference refrigeration cycle operating conditions with an operating characteristic similarity higher than the threshold for each refrigeration cycle operating condition; Based on the historical fluctuation interval of each state variable in several reference refrigeration cycle operating conditions having a matching relationship with each refrigeration cycle operating condition, calculating the setting interval of each state variable in each refrigeration cycle operating condition according to the statistical mean of the historical fluctuation interval; According to the setting interval of each state variable in each refrigeration cycle operating condition, determining the setting interval for each state variable when each refrigeration cycle operating condition in the target refrigeration system executes, and generating the operating condition state information using the setting interval of each state variable.

2. The multi-dimensional coupling regulation method of the electronic expansion valve of the variable frequency energy storage refrigeration system according to claim 1, characterized in that The step of determining several refrigeration control nodes of the target refrigeration system and the effective control time period of each refrigeration control node based on several state variables of each refrigeration cycle operating condition and the setting interval for each state variable when each refrigeration cycle operating condition executes specifically includes: using several state variables of each refrigeration cycle operating condition to match the control items of each state variable in the preset refrigeration control strategy table, and parsing the refrigeration control points of each control item by calling the design drawings of the target refrigeration system to obtain several refrigeration control nodes; Determine the effective regulation time period of each refrigeration regulation node corresponding to each state variable according to the set interval of each state variable under each refrigeration cycle condition.

3. The multi-dimensional coupling regulation method of the electronic expansion valve of the variable-frequency energy storage refrigeration system according to claim 1, characterized in that, Obtain the preset refrigeration regulation demand, extract the regulation mode information and priority level of each refrigeration regulation node in the refrigeration regulation demand, and combine the effective regulation time period of each refrigeration regulation node. Taking the electronic expansion valve opening range corresponding to the regulation mode information and the regulation frequency interval corresponding to the priority level as constraint conditions and the lowest energy consumption as the optimization goal, optimize and solve the electronic expansion valve regulation strategy steps for the target refrigeration system, specifically including: obtaining the preset refrigeration regulation demand, and extracting the regulation mode information and priority level of each refrigeration regulation node in the refrigeration regulation demand; wherein, the regulation mode includes control modes corresponding to the refrigeration efficiency of several different electronic expansion valve opening ranges, and the priority level includes the priority levels of the refrigeration efficiency corresponding to several different regulation frequency intervals. Using the regulation mode information and priority level, respectively match the electronic expansion valve opening and regulation frequency of each refrigeration regulation node in the pre-configured mapping relationship table between the regulation mode and the electronic expansion valve opening range and the pre-configured mapping relationship table between the priority level and the regulation frequency interval. Combining the effective regulation time period of each refrigeration regulation node, taking the electronic expansion valve opening range and the regulation frequency interval as constraint conditions and the lowest energy consumption as the optimization goal, optimize and solve the electronic expansion valve regulation strategy for the target refrigeration system.

4. The multi-dimensional coupling regulation method of the electronic expansion valve of the variable-frequency energy storage refrigeration system according to claim 3, wherein Combining the effective regulation time period of each refrigeration regulation node, taking the electronic expansion valve opening range and the regulation frequency interval as constraint conditions and the lowest energy consumption as the optimization goal, optimize and solve the electronic expansion valve regulation strategy steps for the target refrigeration system, specifically including: constructing a thermodynamic model map of the target refrigeration system, and generating an effective regulation area of each refrigeration regulation node in the thermodynamic model map according to the electronic expansion valve opening range of each refrigeration regulation node. Obtain the regulation rate range of the electronic expansion valve, combine the effective regulation time period and effective regulation area of each refrigeration regulation node, select several regulation nodes within the effective regulation time period and the effective regulation area range to generate several regulation trajectories. Taking the actual regulation rate determined by the regulation time interval and regulation point position between adjacent two regulation nodes in each regulation trajectory falling within the regulation rate range as the first constraint condition, and taking the regulation time interval between adjacent two regulation nodes of each refrigeration regulation node in the generated several regulation trajectories satisfying the regulation frequency interval as the second constraint condition, and taking the minimum total energy consumption of the electronic expansion valve in the generated several regulation trajectories as the optimization goal, optimize and solve the regulation time and regulation point position of each regulation node in the several regulation trajectories. Generate the electronic expansion valve regulation strategy for the target refrigeration system according to the regulation time and regulation point position of each regulation node in the several regulation trajectories.

5. The multi-dimensional coupling regulation method of the electronic expansion valve of the variable frequency energy storage refrigeration system according to claim 4, characterized in that Based on the electronic expansion valve regulation strategy, generate an electronic expansion valve regulation command, drive the electronic expansion valve to perform the corresponding opening regulation operation, and perform the refrigeration efficiency evaluation step according to the regulated state variables, specifically including: extract the regulation time and regulation point of each regulation node in each regulation trajectory in the electronic expansion valve regulation strategy, and calculate the regulation rate between two adjacent regulation nodes in each regulation trajectory; Based on the regulation point of each regulation node and the regulation rate between two adjacent regulation nodes, generate an electronic expansion valve rate regulation command, and based on the regulation time of each regulation node, generate an electronic expansion valve opening setting command to obtain the electronic expansion valve regulation command; Send the electronic expansion valve regulation command to the electronic expansion valve, drive the electronic expansion valve to perform the corresponding opening regulation operation, and perform the refrigeration efficiency evaluation according to the regulated state variables.

6. The multi-dimensional coupling control method of the electronic expansion valve of the variable-frequency energy storage refrigeration system according to claim 5, wherein, After the electronic expansion valve completes each opening regulation operation, obtain the real-time operating condition state of the refrigeration system, update the operating condition state information based on the real-time operating condition state, and regenerate the electronic expansion valve regulation strategy step using the updated operating condition state information, specifically including: after the electronic expansion valve completes each opening regulation operation, obtain the real-time operating condition state of the target refrigeration system, and extract the actual interval of the current state variable of each refrigeration cycle condition in the real-time operating condition state; Based on the set interval of each state variable executed by each refrigeration cycle condition in the operating condition state information and the actual interval of the current state variable of each refrigeration cycle condition in the real-time operating condition state, determine whether the time coincidence degree between the actual interval and the set interval of the corresponding state variable is lower than the preset threshold. If so, define the state variable corresponding to the actual interval as an offset parameter; Judge whether the number of state variables belonging to the offset parameter in the current state variable of each refrigeration cycle condition in the real-time operating condition state exceeds the preset threshold. If so, update the operating condition state information based on the real-time operating condition state, and regenerate the electronic expansion valve regulation strategy using the updated operating condition state information.

7. A multi-dimensional coupling control device for an electronic expansion valve of a variable-frequency energy storage refrigeration system, which is used to implement the multi-dimensional coupling control method for the electronic expansion valve of a variable-frequency energy storage refrigeration system as described in claim 1, characterized in that, Including: A working condition parameter acquisition module for acquiring the working condition state information of the variable frequency energy storage refrigeration system; wherein, the working condition state information includes several refrigeration cycle conditions in the target refrigeration system, several state variables of each refrigeration cycle condition, and the set interval for each refrigeration cycle condition to execute each state variable; A regulation node determination module for determining several refrigeration regulation nodes of the target refrigeration system and the effective regulation time period of each refrigeration regulation node according to several state variables of each refrigeration cycle condition and the set interval for each refrigeration cycle condition to execute each state variable; A strategy optimization module for obtaining the preset refrigeration regulation requirements, extracting the regulation mode information and priority level of each refrigeration regulation node in the refrigeration regulation requirements, combining the effective regulation time period of each refrigeration regulation node, and taking the electronic expansion valve opening range corresponding to the regulation mode information and the regulation frequency interval corresponding to the priority level as constraint conditions, and taking the minimum energy consumption as the optimization goal to optimize and solve the electronic expansion valve regulation strategy for the target refrigeration system; An execution evaluation module, configured to generate an electronic expansion valve regulation instruction based on the electronic expansion valve regulation strategy, drive the electronic expansion valve to perform a corresponding opening regulation operation, and perform a refrigeration efficiency evaluation according to the regulated state variables. A state update module, configured to obtain the real-time operating condition state of the refrigeration system after the electronic expansion valve finishes each opening regulation operation, update the operating condition state information based on the real-time operating condition state, and regenerate the electronic expansion valve regulation strategy by using the updated operating condition state information.

8. An electronic expansion valve multi-dimensional coupling control device for a variable-frequency energy storage refrigeration system, characterized in that, The regulation device includes: a memory, a processor, and a refrigeration regulation program stored on the memory and executable on the processor. When the refrigeration regulation program is executed by the processor, the steps of the multi-dimensional coupling regulation method for the electronic expansion valve of the variable-frequency energy storage refrigeration system according to any one of claims 1 to 6 are implemented.

9. A storage medium, characterized in that, A refrigeration regulation program is stored on the storage medium. When the refrigeration regulation program is executed by a processor, the steps of the multi-dimensional coupling regulation method for the electronic expansion valve of the variable-frequency energy storage refrigeration system according to any one of claims 1 to 6 are implemented.

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