Heat pump system, control method of heat pump system, control equipment and computer readable storage medium

Abstract

The invention discloses a heat pump system, a control method thereof, control equipment and a computer readable storage medium, and relates to the technical field of heat pump systems, and the control method of the heat pump system comprises the steps of dynamically adjusting parameter values of energy efficiency correlation parameters of the heat pump system based on a maximum energy efficiency point tracking algorithm, determining a target parameter value of the energy efficiency correlation parameter when the heat pump system is at the maximum energy efficiency point; and the heat pump system operates according to the target parameter value of the energy efficiency correlation parameter. According to the heat pump system, the energy efficiency loss can be reduced, and it is guaranteed that the heat pump system can maintain the good energy efficiency ratio under different environment conditions.

Description

Technical Field

[0001] The present application relates to the technical field of heat pump systems, and in particular to a heat pump system and a control method, a control device, and a computer-readable storage medium thereof. Background Art

[0002] Currently, heat pump system control typically involves setting parameters to operate according to a specific operating condition. However, this fixed-parameter control approach has poor environmental adaptability and cannot adapt to dynamic changes such as ambient temperature and heat source load fluctuations. This can easily lead to energy efficiency losses, thus affecting the energy efficiency ratio of the heat pump system. Summary of the Invention

[0003] The main purpose of this application is to provide a heat pump system and its control method, control equipment and computer-readable storage medium, aiming to propose a heat pump system control method that can adapt to dynamic changes in the environment, so as to reduce energy efficiency loss and ensure that the heat pump system can maintain a good energy efficiency ratio under different environmental conditions.

[0004] To achieve the above objectives, the present application provides a heat pump system control method, the method comprising:

[0005] Based on the maximum energy efficiency point tracking algorithm, dynamically adjust the parameter value of the energy efficiency correlation parameter of the heat pump system to determine the target parameter value of the energy efficiency correlation parameter when the heat pump system is at the maximum energy efficiency point;

[0006] The heat pump system operates according to the target parameter value of the energy efficiency correlation parameter.

[0007] In one embodiment, the step of dynamically adjusting the parameter value of the energy efficiency correlation parameter of the heat pump system based on the maximum energy efficiency point tracking algorithm to determine the target parameter value of the energy efficiency correlation parameter when the heat pump system is at the maximum energy efficiency point includes:

[0008] Obtaining the energy efficiency ratio of the heat pump system at a current moment as an initial energy efficiency ratio;

[0009] Obtaining a benchmark adjustment step size of the energy efficiency correlation parameter in a current period, and determining a target adjustment step size based on the benchmark adjustment step size of the energy efficiency correlation parameter in the current period;

[0010] Based on the target adjustment step size, adjusting the parameter value of the energy efficiency correlation parameter in a preset adjustment direction to obtain a candidate parameter value of the energy efficiency correlation parameter;

[0011] controlling the heat pump system to operate according to the candidate parameter value of the energy efficiency correlation parameter, and obtaining an energy efficiency ratio of the heat pump system under the candidate parameter value of the energy efficiency correlation parameter as a candidate energy efficiency ratio;

[0012] A target parameter value of the energy efficiency correlation parameter is determined according to the initial energy efficiency ratio and the candidate energy efficiency ratio.

[0013] In one embodiment, the step of determining the target parameter value of the energy efficiency correlation parameter based on the initial energy efficiency ratio and the candidate energy efficiency ratio includes:

[0014] If the candidate energy efficiency ratio is greater than the initial energy efficiency ratio, the candidate energy efficiency ratio is used as a new initial energy efficiency ratio, and after a preset time, a benchmark adjustment step size of the energy efficiency correlation parameter in the next cycle is obtained;

[0015] Based on the benchmark adjustment step of the next cycle, a new target adjustment step is determined, and the step of adjusting the parameter value of the energy efficiency correlation parameter according to the preset adjustment direction based on the target adjustment step is returned to execute to obtain the candidate parameter value of the energy efficiency correlation parameter until the target parameter value of the energy efficiency correlation parameter is determined.

[0016] In one embodiment, the step of determining the target parameter value of the energy efficiency correlation parameter based on the initial energy efficiency ratio and the candidate energy efficiency ratio further includes:

[0017] If the candidate energy efficiency ratio is less than or equal to the initial energy efficiency ratio, the candidate energy efficiency ratio is used as a new initial energy efficiency ratio, and after a preset time period, a benchmark adjustment step size of the energy efficiency correlation parameter in the next period is obtained;

[0018] Determining a new target adjustment step size based on the benchmark adjustment step size for the next cycle;

[0019] Based on the new target adjustment step size, the parameter value of the energy efficiency correlation parameter is adjusted in the opposite direction of the preset adjustment direction to obtain a new candidate parameter value of the energy efficiency correlation parameter, and the process returns to executing the step of controlling the heat pump system to operate according to the candidate parameter value of the energy efficiency correlation parameter until the target parameter value of the energy efficiency correlation parameter is determined.

[0020] In one embodiment, the step of obtaining a benchmark adjustment step size of the energy efficiency correlation parameter in the current period includes:

[0021] Obtain the absolute value of the difference between the candidate energy efficiency ratio of the previous cycle and the initial energy efficiency ratio as the historical energy efficiency deviation;

[0022] determining a candidate adjustment step size based on the historical energy efficiency deviation, the energy efficiency ratio of the heat pump system at a current moment, and the target adjustment step size of the previous cycle;

[0023] A benchmark adjustment step size of the energy efficiency correlation parameter in a current period is determined according to the candidate adjustment step size.

[0024] In one embodiment, the step of determining a baseline adjustment step size of the energy efficiency correlation parameter in the current period based on the candidate adjustment step size includes:

[0025] Obtaining a current parameter value change rate of an environmental sensitivity parameter of the heat pump system;

[0026] If the current parameter value change rate is less than a preset change threshold, the candidate adjustment step size is used as the benchmark adjustment step size of the energy efficiency correlation parameter in the current period;

[0027] If the change rate of the current parameter value is greater than or equal to the preset change threshold, the candidate adjustment step size is increased to obtain a benchmark adjustment step size of the energy efficiency correlation parameter in the current period.

[0028] In one embodiment, the step of determining a baseline adjustment step size of the energy efficiency correlation parameter in the current period based on the candidate adjustment step size includes:

[0029] If the historical energy efficiency deviation is less than the preset deviation threshold, reducing the candidate adjustment step size to obtain a benchmark adjustment step size of the energy efficiency correlation parameter in the current period;

[0030] If the historical energy efficiency deviation is greater than or equal to the preset deviation threshold, the candidate adjustment step size is used as the benchmark adjustment step size of the energy efficiency correlation parameter in the current period.

[0031] In one embodiment, when the energy efficiency correlation parameter includes multiple sub-energy efficiency parameters, the step of obtaining the benchmark adjustment step size of the energy efficiency correlation parameter in the current period further includes:

[0032] Obtaining a benchmark adjustment step size and weight value of each of the sub-energy efficiency parameters in the current cycle;

[0033] Based on the weight value of each of the sub-energy efficiency parameters, a weighted fusion process is performed on the benchmark adjustment step lengths of each of the sub-energy efficiency parameters in the current cycle to obtain the benchmark adjustment step length of the energy efficiency correlation parameter in the current cycle.

[0034] In one embodiment, the step of determining the target adjustment step size according to the baseline adjustment step size of the energy efficiency correlation parameter in the current cycle includes:

[0035] If the benchmark adjustment step length of the energy efficiency correlation parameter in the current cycle is within a preset step length range, the benchmark adjustment step length of the energy efficiency correlation parameter in the current cycle is used as the target adjustment step length;

[0036] If the benchmark adjustment step size of the energy efficiency correlation parameter in the current cycle is outside the preset step size range, then when the benchmark adjustment step size of the energy efficiency correlation parameter in the current cycle is less than the step size lower limit value of the preset step size range, the step size lower limit value is used as the target adjustment step size; and

[0037] When the reference adjustment step of the energy efficiency correlation parameter in the current cycle is greater than the upper limit of the step range, the upper limit is used as the target adjustment step.

[0038] In addition, to achieve the above-mentioned purpose, the present application also provides a heat pump system, which includes an evaporator, a compressor, a condenser, an electronic expansion valve and a control module; the control module is connected to the evaporator, the compressor, the condenser and the electronic expansion valve, and the control module is used to implement the steps of the heat pump system control method as described above.

[0039] In addition, to achieve the above-mentioned purpose, the present application also provides a control device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program is configured to implement the steps of the heat pump system control method as described above.

[0040] In addition, to achieve the above-mentioned purpose, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the heat pump system control method described above are implemented.

[0041] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the heat pump system control method described above.

[0042] The present application provides a heat pump system control method, which dynamically adjusts the parameter value of the energy efficiency correlation parameter of the heat pump system based on the maximum energy efficiency point tracking algorithm to determine the target parameter value of the energy efficiency correlation parameter when the heat pump system is at the maximum energy efficiency point; the heat pump system operates according to the target parameter value of the energy efficiency correlation parameter.

[0043] Therefore, the technical solution provided by this application does not achieve control based on set fixed parameters when controlling the heat pump system. Instead, it uses a maximum energy efficiency point tracking algorithm to continuously adjust the parameter values of the energy efficiency correlation parameters of the heat pump system to find the target parameter values of the energy efficiency correlation parameters when the heat pump system is at the maximum energy efficiency point, thereby allowing the heat pump system to operate according to the target parameter values at the maximum energy efficiency point. As a result, no matter how the environment changes, this application can control the heat pump system to operate at the maximum energy efficiency point, thereby reducing energy efficiency losses and allowing the heat pump system to maintain a good energy efficiency ratio.

[0044] In summary, the present application provides a heat pump system control method that can adapt to dynamic environmental changes, which can reduce energy efficiency losses and ensure that the heat pump system can maintain a good energy efficiency ratio under different environmental conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0047] Figure 1 A schematic flow chart of a heat pump system control method provided in the first embodiment of the present application;

[0048] Figure 2 A flow chart of a heat pump system control method provided in the second embodiment of the present application;

[0049] Figure 3 A schematic diagram of a simplified flow chart of a heat pump system control method provided in an embodiment of the present application;

[0050] Figure 4 A schematic structural diagram of a heat pump system provided in an embodiment of the present application;

[0051] Figure 5 A schematic diagram of the module structure of the control module provided in an embodiment of the present application;

[0052] Figure 6 This is a schematic diagram of the structure of the hardware operating environment involved in the embodiments of the present application.

[0053] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings.

[0054] Description of Figure Numbers:

[0055] 1. Evaporator; 2. Compressor; 3. Condenser; 4. Electronic expansion valve; 5. Control module; 51. Sensor group; 52. Data acquisition unit; 53. MEPT algorithm unit; 54. Execution unit;

[0056] 101. Processing device; 102. Read-only memory; 103. Storage device; 104. Random access memory; 105. Bus; 106. Input / output interface; 107. Input device; 108. Output device; 109. Communication device. DETAILED DESCRIPTION

[0057] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0058] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0059] Currently, heat pump system control typically involves setting parameters to operate according to a specific operating condition. However, this fixed-parameter control approach has poor environmental adaptability and cannot adapt to dynamic changes such as ambient temperature and heat source load fluctuations. This can easily lead to energy efficiency losses, thus affecting the energy efficiency ratio of the heat pump system.

[0060] Secondly, when optimizing the energy efficiency of heat pump systems, only a single parameter is usually adjusted (such as adjusting only the expansion valve opening), ignoring the multi-variable coupling relationship, making it difficult to achieve global optimization.

[0061] Furthermore, current heat pump system controls lack adaptability to rapidly changing operating conditions (such as sudden increases or decreases in heat load), easily deviating from optimal operating conditions and causing system oscillations. This results in poor anti-interference capabilities for heat pump systems.

[0062] Based on this, the technical solution provided by this application does not achieve control based on set fixed parameters when controlling the heat pump system. Instead, it uses a maximum energy efficiency point tracking algorithm to continuously adjust the parameter values of the energy efficiency correlation parameters of the heat pump system to find the target parameter values of the energy efficiency correlation parameters when the heat pump system is at the maximum energy efficiency point, thereby allowing the heat pump system to operate according to the target parameter values at the maximum energy efficiency point. As a result, no matter how the environment changes, this application can control the heat pump system to operate at the maximum energy efficiency point, thereby reducing energy efficiency losses and enabling the heat pump system to maintain a good energy efficiency ratio.

[0063] Secondly, the technical solution provided by this application, when the energy efficiency correlation parameter includes multiple sub-energy efficiency parameters, can use weight values to perform a weighted fusion process on the baseline adjustment step size of each sub-energy efficiency parameter in the current cycle. In this way, the resulting baseline adjustment step size of the energy efficiency correlation parameter in the current cycle can comprehensively reflect the adjustment requirements of each sub-energy efficiency parameter, allowing the heat pump system to take into account the optimization of each sub-energy efficiency parameter during the adjustment process, thereby effectively solving the problem of insufficient energy consumption optimization caused by ignoring the multivariable coupling relationship.

[0064] In addition, the technical solution provided by this application will increase the adjustment step size in the event of a sudden change in the environment, so as to accelerate the adjustment process of the heat pump system parameters in a short period of time, so that it can reach the working state of the maximum energy efficiency point more quickly, thereby allowing the heat pump system to quickly adapt to the working conditions after the sudden change, thereby improving the anti-interference ability of the heat pump system.

[0065] The executor of the heat pump system control method of the present application may be a control device having data processing, network communication and program running functions, or a control system, control circuit, etc. that can realize the above functions, or a heat pump system with a control module, which is not specifically limited in this embodiment.

[0066] The following embodiments are described below taking a heat pump system as an example.

[0067] Based on this, this application proposes a heat pump system control method of the first embodiment, please refer to Figure 1 The heat pump system control method includes steps S10 to S20:

[0068] Step S10: dynamically adjusting the parameter value of the energy efficiency correlation parameter of the heat pump system based on the maximum energy efficiency point tracking algorithm to determine the target parameter value of the energy efficiency correlation parameter when the heat pump system is at the maximum energy efficiency point;

[0069] It should be noted that the Maximum Efficiency Point Tracking (MEPT) algorithm is used to track the maximum energy efficiency point of a heat pump system, ensuring that the heat pump system always operates at its maximum energy efficiency point. The MEPT algorithm can utilize a dynamic optimization method, taking the maximum energy efficiency point of the heat pump system as the optimization target. By real-time monitoring the correlation between the energy efficiency ratio and the energy efficiency correlation parameter, the parameter value of the energy efficiency correlation parameter is continuously adjusted to track the maximum energy efficiency point of the heat pump system. The dynamic optimization method utilized by the MEPT algorithm can be modified from the dynamic optimization method (such as the perturbation-observation method or the conductance increment method) used in the photovoltaic MPPT (Maximum Power Point Tracking) algorithm. The maximum energy efficiency point is the point at which the energy efficiency ratio reaches its maximum value. The energy efficiency correlation parameter is the operating parameter in the heat pump system that directly affects the energy efficiency ratio. It may include, but is not limited to, compressor frequency, electronic expansion valve opening, working fluid flow rate, and / or heat exchange air volume, etc. This embodiment does not specifically limit this. The target parameter value is the parameter value of the energy efficiency correlation parameter at the maximum energy efficiency point. The energy efficiency ratio is the ratio of the heating capacity of the heat pump system to the input power.

[0070] In step S20 , the heat pump system operates according to the target parameter value of the energy efficiency correlation parameter.

[0071] As can be seen from the above, the technical solution provided by this embodiment does not implement control based on fixed parameters when controlling the heat pump system. Instead, it utilizes a maximum energy efficiency point tracking algorithm to continuously adjust the parameter values of the heat pump system's energy efficiency correlation parameters to find the target parameter values of the energy efficiency correlation parameters when the heat pump system is at its maximum energy efficiency point, thereby causing the heat pump system to operate according to the target parameter values at the maximum energy efficiency point. As a result, regardless of environmental changes, this embodiment can control the heat pump system to operate at its maximum energy efficiency point, thereby reducing energy efficiency losses and enabling the heat pump system to maintain a good energy efficiency ratio.

[0072] In summary, this embodiment provides a heat pump system control method that can adapt to dynamic environmental changes, which can reduce energy efficiency loss and ensure that the heat pump system can maintain a good energy efficiency ratio under different environmental conditions.

[0073] Based on the above first embodiment, a second embodiment of the heat pump system control method of the present application is proposed. In the second embodiment, please refer to Figure 2 , step S10 may include steps S11 to S15:

[0074] Step S11, obtaining the energy efficiency ratio of the heat pump system at the current moment as the initial energy efficiency ratio;

[0075] Step S12: obtaining a reference adjustment step size of the energy efficiency correlation parameter in the current cycle, and determining a target adjustment step size according to the reference adjustment step size of the energy efficiency correlation parameter in the current cycle;

[0076] It should be noted that the current cycle refers to the current energy efficiency calculation cycle. The energy efficiency calculation cycle can be a default time period or can be set by the user, and this embodiment does not specifically limit this. The baseline adjustment step size is the reference value required for determining the target adjustment step size. It can be a default adjustment step size or can be flexibly set based on the actual operating conditions of the heat pump system. This embodiment does not specifically limit this. The target adjustment step size is used to adjust the parameter value of the energy efficiency correlation parameter.

[0077] In a feasible implementation, the step of determining the target adjustment step size based on the benchmark adjustment step size of the energy efficiency correlation parameter in the current period may include: if the benchmark adjustment step size of the energy efficiency correlation parameter in the current period is within the preset step size range, then using the benchmark adjustment step size of the energy efficiency correlation parameter in the current period as the target adjustment step size; if the benchmark adjustment step size of the energy efficiency correlation parameter in the current period is outside the preset step size range, then when the benchmark adjustment step size of the energy efficiency correlation parameter in the current period is less than the lower limit value of the step size of the preset step size range, then using the lower limit value of the step size as the target adjustment step size; and when the benchmark adjustment step size of the energy efficiency correlation parameter in the current period is greater than the upper limit value of the step size of the preset step size range, then using the upper limit value of the step size as the target adjustment step size.

[0078] It should be noted that the lower limit of the preset step range is the minimum adjustment step in the preset step range, which can be used to avoid invalid adjustments; the upper limit of the preset step range is the maximum adjustment step in the preset step range, which can be used to avoid oscillation of the heat pump system or deviation from the maximum energy efficiency point due to excessive step size. For example, assuming that the energy efficiency correlation parameter includes the compressor frequency, the lower limit of the step can be set to 0.1%X 额定 , the upper limit of the step size can be set to 5%X 额定 ; Among them, X 额定 is the rated frequency of the compressor.

[0079] In this embodiment, the target adjustment step size ultimately determined needs to be within a preset step size range to avoid invalid adjustments and to avoid oscillation of the heat pump system or deviation from the maximum energy efficiency point due to an excessively large step size.

[0080] Step S13: adjusting the parameter value of the energy efficiency correlation parameter according to a preset adjustment direction based on the target adjustment step size to obtain a candidate parameter value of the energy efficiency correlation parameter;

[0081] It should be noted that the preset adjustment direction can be a forward adjustment direction or a reverse adjustment direction. When the preset adjustment direction is the forward adjustment direction, the candidate parameter value of the energy efficiency correlation parameter is obtained by adding the current parameter value of the energy efficiency correlation parameter to the target adjustment step size. When the preset adjustment direction is the reverse adjustment direction, the candidate parameter value of the energy efficiency correlation parameter is obtained by subtracting the current parameter value of the energy efficiency correlation parameter from the target adjustment step size. The current parameter value refers to the parameter value of the energy efficiency correlation parameter at the current moment.

[0082] Step S14, controlling the heat pump system to operate according to the candidate parameter value of the energy efficiency correlation parameter, and obtaining the energy efficiency ratio of the heat pump system under the candidate parameter value of the energy efficiency correlation parameter as the candidate energy efficiency ratio;

[0083] Step S15: determining a target parameter value of the energy efficiency correlation parameter according to the initial energy efficiency ratio and the candidate energy efficiency ratio.

[0084] In a feasible implementation, step S15 may include steps S151 to S152:

[0085] Step S151: If the candidate energy efficiency ratio is greater than the initial energy efficiency ratio, the candidate energy efficiency ratio is used as a new initial energy efficiency ratio, and after a preset time, a reference adjustment step size of the energy efficiency correlation parameter in the next cycle is obtained;

[0086] It should be noted that the preset duration is the time span of the energy efficiency calculation cycle, and the next cycle is the next energy efficiency calculation cycle.

[0087] Step S152: determine a new target adjustment step size based on the benchmark adjustment step size of the next cycle, and return to the step of adjusting the parameter value of the energy efficiency correlation parameter according to the preset adjustment direction based on the target adjustment step size to obtain the candidate parameter value of the energy efficiency correlation parameter, until the target parameter value of the energy efficiency correlation parameter is determined.

[0088] It can be understood that if the candidate energy efficiency ratio is greater than the initial energy efficiency ratio, it means that the parameter value of the energy efficiency correlation parameter is currently adjusted according to the preset adjustment direction, which increases the energy efficiency ratio of the heat pump system. Based on this, in order to make the heat pump system operate at the maximum energy efficiency point, the parameter value of the energy efficiency correlation parameter can be further adjusted according to the preset adjustment direction.

[0089] In another feasible implementation, step S15 may further include steps S153 to S155:

[0090] Step S153: If the candidate energy efficiency ratio is less than or equal to the initial energy efficiency ratio, the candidate energy efficiency ratio is used as a new initial energy efficiency ratio, and after a preset time, a reference adjustment step size of the energy efficiency correlation parameter in the next cycle is obtained;

[0091] Step S154, determining a new target adjustment step size based on the benchmark adjustment step size of the next cycle;

[0092] Step S155: Based on the new target adjustment step size, adjust the parameter value of the energy efficiency correlation parameter in the opposite direction of the preset adjustment direction to obtain a new candidate parameter value of the energy efficiency correlation parameter, and return to the step of controlling the heat pump system to operate according to the candidate parameter value of the energy efficiency correlation parameter until the target parameter value of the energy efficiency correlation parameter is determined.

[0093] It can be understood that if the candidate energy efficiency ratio is less than or equal to the initial energy efficiency ratio, it means that the parameter value of the energy efficiency correlation parameter is currently adjusted in the preset adjustment direction, which has reduced the energy efficiency ratio of the heat pump system. Based on this, in order to make the heat pump system operate at the maximum energy efficiency point, the parameter value of the energy efficiency correlation parameter needs to be adjusted in the opposite direction of the preset adjustment direction.

[0094] As can be seen from the above, this embodiment dynamically adjusts the energy-efficiency-related parameter values of the heat pump system using the baseline adjustment step size of the energy-efficiency-related parameter in the current cycle to determine the target adjustment step size. This makes the parameter adjustment more targeted and reasonable, avoiding energy efficiency fluctuations caused by constant adjustment using a fixed step size. Furthermore, this embodiment determines the target parameter value by comparing the initial energy efficiency ratio with the candidate energy efficiency ratio, ensuring that each parameter adjustment is directed toward improving the energy efficiency of the heat pump system.

[0095] Therefore, the technical solution provided in this embodiment further enhances the adaptability of the heat pump system control method to dynamic changes in the environment, and can find the optimal parameters more quickly and accurately, thereby more effectively reducing energy efficiency losses and ensuring that the heat pump system can maintain a good energy efficiency ratio under different environmental conditions.

[0096] In addition, in other implementations, an adjustment coefficient may be used instead of the adjustment step size, so that by multiplying the parameter value of the energy efficiency correlation parameter by the adjustment coefficient, a positive adjustment of the energy efficiency correlation parameter can be achieved; and by dividing the parameter value of the energy efficiency correlation parameter by the adjustment coefficient, a negative adjustment of the energy efficiency correlation parameter can be achieved. This embodiment does not specifically limit the specific implementation of step S10.

[0097] Based on the above second embodiment, a third embodiment of the heat pump system control method of the present application is proposed. In the third embodiment, step S12 may include steps S121 to S123:

[0098] Step S121, obtaining the absolute value of the difference between the candidate energy efficiency ratio of the previous cycle and the initial energy efficiency ratio as the historical energy efficiency deviation;

[0099] It should be noted that the previous cycle is the previous energy efficiency calculation cycle, and the candidate energy efficiency ratio and initial energy efficiency ratio of the previous cycle are the candidate energy efficiency ratio and initial energy efficiency ratio determined in the previous cycle.

[0100] Step S122, determining a candidate adjustment step size based on the historical energy efficiency deviation, the energy efficiency ratio of the heat pump system at the current moment, and the target adjustment step size of the previous cycle;

[0101] It should be noted that when determining candidate adjustment step sizes based on historical energy efficiency deviations, the current energy efficiency ratio of the heat pump system, and the target adjustment step size of the previous cycle, the candidate adjustment step sizes can be calculated using the following formula 1. Alternatively, candidate adjustment step sizes corresponding to different historical energy efficiency deviations, energy efficiency ratios, and target adjustment step sizes can be calculated in advance and recorded in a relationship table. Thus, candidate adjustment step sizes can be quickly determined by table lookup. This embodiment does not specifically limit the specific implementation of step S122.

[0102]

[0103] Where ΔX n+1 is the candidate adjustment step size, ΔX n is the target adjustment step size for the previous cycle, ΔCOP is the historical energy efficiency deviation, COP is the energy efficiency ratio of the heat pump system at the current moment, and k is the gain coefficient. The gain coefficient can be a default value or can be flexibly set by the user based on actual conditions, and this embodiment does not impose specific limitations on this. Generally speaking, considering the large mechanical inertia of the heat pump system, the gain coefficient can be set within the range of 1 to 1.5.

[0104] In addition, if there is no previous cycle, the historical energy efficiency deviation may be defaulted to zero, and the target adjustment step size of the previous cycle may be an initially set adjustment step size.

[0105] Step S123 : determining a reference adjustment step size of the energy efficiency correlation parameter in the current period according to the candidate adjustment step sizes.

[0106] In a feasible implementation, step S123 may include steps S101 to S103:

[0107] Step S101, obtaining the current parameter value change rate of the environmental sensitivity parameter of the heat pump system;

[0108] It should be noted that an environmental sensitivity parameter is an operating parameter in a heat pump system that exhibits significant response characteristics to external environmental changes (such as temperature and pressure fluctuations) or internal system disturbances and can be used to determine whether the operating condition has suddenly changed. This parameter may include, but is not limited to, evaporator inlet temperature, condenser outlet pressure, and / or compressor input power, and is not specifically limited in this embodiment. The current parameter value change rate is the rate of change of the environmental sensitivity parameter at the current moment.

[0109] Step S102: If the current parameter value change rate is less than a preset change threshold, the candidate adjustment step size is used as the benchmark adjustment step size of the energy efficiency correlation parameter in the current period;

[0110] Step S103 : If the current parameter value change rate is greater than or equal to the preset change threshold, the candidate adjustment step size is increased to obtain a benchmark adjustment step size of the energy efficiency correlation parameter in the current period.

[0111] It should be noted that the preset change threshold is used as a basis for determining whether the environmental sensitivity parameter has undergone a mutation. It can be a default value or can be flexibly set by the user according to actual conditions. This embodiment does not specifically limit this.

[0112] For example, when the environmental sensitivity parameter includes the evaporator inlet temperature, the preset change threshold can be set to 2°C / s (corresponding to scenarios such as heat source interruption); when the environmental sensitivity parameter includes the condenser outlet pressure, the preset change threshold can be set to 10kPa / s (corresponding to scenarios such as pipe blockage or working fluid leakage); when the environmental sensitivity parameter includes the compressor input power, the preset change threshold can be set to 10%W 额定 (corresponding to scenarios such as compressor failure or grid fluctuation), where W 额定 is the rated power of the compressor.

[0113] This embodiment is configured to increase the candidate adjustment step size to obtain a larger baseline adjustment step size when the current parameter value change rate is greater than or equal to a preset change threshold, that is, when a sudden change occurs in the environment. This larger baseline adjustment step size can thus accelerate the heat pump system parameter adjustment process in a short period of time, allowing it to reach the maximum energy efficiency point more quickly. This allows the heat pump system to quickly adapt to the sudden change and improves its anti-interference ability.

[0114] In another feasible implementation, step S123 may include steps S104 to S105:

[0115] Step S104: if the historical energy efficiency deviation is less than the preset deviation threshold, the candidate adjustment step size is reduced to obtain a benchmark adjustment step size of the energy efficiency correlation parameter in the current period;

[0116] Step S105 : If the historical energy efficiency deviation is greater than or equal to the preset deviation threshold, the candidate adjustment step size is used as the benchmark adjustment step size of the energy efficiency correlation parameter in the current period.

[0117] It should be noted that the preset deviation threshold is used as a basis for determining whether the current working state of the heat pump system is close to the maximum energy efficiency point. It can be a default value or can be flexibly set by the user according to actual conditions. This embodiment does not specifically limit this.

[0118] This embodiment is configured so that when the historical energy efficiency deviation is less than a preset deviation threshold, that is, when the current operating state of the heat pump system is close to the maximum energy efficiency point, the candidate adjustment step size is reduced to obtain a smaller baseline adjustment step size. Thus, when the parameter value of the energy efficiency correlation parameter is subsequently adjusted using this smaller baseline adjustment step size, system oscillation caused by overshoot can be effectively avoided, thereby ensuring the stability of the heat pump system during parameter value adjustment. When the historical energy efficiency deviation is greater than or equal to the preset deviation threshold, that is, when the current operating state of the heat pump system has a large adjustment space relative to the maximum energy efficiency point, the candidate adjustment step size can be directly used as the baseline adjustment step size for the energy efficiency correlation parameter in the current cycle to obtain a larger baseline adjustment step size. Thus, when the parameter value of the energy efficiency correlation parameter is subsequently adjusted using this larger baseline adjustment step size, the target parameter value of the energy efficiency correlation parameter when the heat pump system is at the maximum energy efficiency point can be quickly found.

[0119] The above are merely two feasible implementations of step S123 provided in this embodiment, and this embodiment does not specifically limit the specific implementation of step S123.

[0120] In combination with the above content, it can be seen that in this embodiment, by setting, the benchmark adjustment step size of the energy efficiency correlation parameter in the current cycle needs to be determined according to the adjustment of the energy efficiency ratio, so as to construct a dynamic and adaptive parameter adjustment mechanism. Specifically, first, the absolute value of the difference between the candidate energy efficiency ratio and the initial energy efficiency ratio of the previous cycle is obtained as the historical energy efficiency deviation, wherein the historical energy efficiency deviation intuitively reflects the degree of influence of the parameter adjustment of the previous cycle on the energy efficiency of the system. Then, the historical energy efficiency deviation is used to determine the benchmark adjustment step size in combination with the energy efficiency ratio of the heat pump system at the current moment and the target adjustment step size of the previous cycle, so that the determination of the benchmark adjustment step size takes into account both the historical adjustment effect and the current system state, thereby ensuring that the benchmark adjustment step size can be dynamically adjusted as the system energy efficiency changes and the operating conditions change, thereby enabling the heat pump system to find the optimal parameters more quickly and accurately, so as to more effectively reduce energy efficiency losses and ensure that the heat pump system can maintain a good energy efficiency ratio under different environmental conditions.

[0121] Based on the above-mentioned second embodiment and / or third embodiment, a fourth embodiment of the heat pump system control method of the present application is proposed. In the fourth embodiment, when the energy efficiency correlation parameter includes multiple sub-energy efficiency parameters, step S12 may further include steps S124 to S125:

[0122] Step S124, obtaining the benchmark adjustment step and weight value of each sub-energy efficiency parameter in the current cycle;

[0123] It should be noted that the weight of a sub-energy efficiency parameter reflects its impact on the energy efficiency ratio. A higher impact indicates a larger weight, while a lower impact indicates a smaller weight. Based on this, weights for each sub-energy efficiency parameter can be set based on their impact on the energy efficiency ratio and recorded in a relational table. This allows for quick determination of the weight of each sub-energy efficiency parameter by looking up the table.

[0124] Step S125 : Based on the weight values of the sub-energy efficiency parameters, weighted fusion processing is performed on the benchmark adjustment step lengths of the sub-energy efficiency parameters in the current period to obtain the benchmark adjustment step lengths of the energy efficiency correlation parameter in the current period.

[0125] It should be noted that when weighted fusion processing is performed on the benchmark adjustment step of each sub-energy efficiency parameter in the current cycle based on the weight value of each sub-energy efficiency parameter, the weight value of each sub-energy efficiency parameter is multiplied by the respective benchmark adjustment step to obtain each product, and then the products are added together to obtain the benchmark adjustment step of the energy efficiency correlation parameter in the current cycle.

[0126] For example, assuming that the energy efficiency correlation parameter includes three sub-energy efficiency parameters, namely, compressor frequency, working fluid flow rate, and heat exchange air volume, the implementation process of the above step S125 can be expressed as the following formula 2:

[0127] ΔX=α·Δf+β·Δm+γ·ΔQ Formula 2;

[0128] Among them, ΔX is the benchmark adjustment step of the energy efficiency correlation parameter in the current cycle, α is the weight value of the compressor frequency, Δf is the benchmark adjustment step of the compressor frequency in the current cycle, β is the weight value of the working fluid flow rate, Δm is the benchmark adjustment step of the working fluid flow rate in the current cycle, γ is the weight value of the heat exchange air volume, and ΔQ is the benchmark adjustment step of the heat exchange air volume in the current cycle.

[0129] Based on the above, it can be seen that this embodiment, by setting the energy efficiency correlation parameter to include multiple sub-energy efficiency parameters, can use weight values to perform weighted fusion processing on the baseline adjustment step size of each sub-energy efficiency parameter in the current cycle. In this way, the resulting baseline adjustment step size of the energy efficiency correlation parameter in the current cycle can comprehensively reflect the adjustment requirements of each sub-energy efficiency parameter, allowing the heat pump system to take into account the optimization of each sub-energy efficiency parameter during the adjustment process, thereby effectively solving the problem of insufficient energy consumption optimization caused by ignoring the multivariable coupling relationship, achieving optimized improvement of the overall energy efficiency of the heat pump system, and ensuring that the heat pump system can achieve or approach the global optimal energy efficiency state under various operating conditions.

[0130] For example, to help understand the implementation process of the heat pump system control method formed by combining the above embodiments, please refer to Figure 3 , specifically:

[0131] First, the heat pump system is initialized to set the energy efficiency calculation cycle of the heat pump system; then the energy efficiency ratio of the heat pump system at the current moment is obtained as the initial energy efficiency ratio COP1, and the current parameter value change rate of the environmental sensitivity parameter of the heat pump system is obtained, and the candidate adjustment step size of the energy efficiency correlation parameter in the current cycle is determined; then it is judged whether the current parameter value change rate is greater than or equal to the preset change threshold value. If the current parameter value change rate is less than the preset change threshold value, the candidate adjustment step size is used as the benchmark adjustment step size of the energy efficiency correlation parameter in the current cycle; if the current parameter value change rate is greater than or equal to the preset change threshold value, If the threshold is set, the candidate adjustment step size is increased to obtain the benchmark adjustment step size of the energy efficiency correlation parameter in the current cycle (after increasing the candidate adjustment step size, it can be determined whether the parameter value change rate of the environmental sensitivity parameter has returned to normal. If it has returned to normal, the step of initializing the heat pump system can be returned to normal; if it is still abnormal, the step of increasing the candidate adjustment step size can be continued); then it is determined whether the benchmark adjustment step size is within the preset step size range. If it is within the preset step size range, the benchmark adjustment step size is used as the target adjustment step size △X1; if it is greater than the step size upper limit △X of the preset step size range, the target adjustment step size is △X2. max , then the upper limit of the step size △X max As the target adjustment step △X1; if it is less than the lower limit of the preset step range △X min , then the upper limit of the step size △X min Adjust the step size △X1 as the target.

[0132] After determining the target adjustment step size △X1, the parameter value of the energy efficiency correlation parameter is adjusted in a positive adjustment direction using the target adjustment step size △X1 to obtain a candidate parameter value of the energy efficiency correlation parameter; then, the heat pump system is controlled to operate according to the candidate parameter value of the energy efficiency correlation parameter, and the energy efficiency ratio of the heat pump system under the candidate parameter value of the energy efficiency correlation parameter is obtained as the candidate energy efficiency ratio COP2; then, it is determined whether the candidate energy efficiency ratio COP2 is greater than the initial energy efficiency ratio COP1; if the candidate energy efficiency ratio COP2 is greater than the initial energy efficiency ratio COP1, the parameter value of the energy efficiency correlation parameter is continued to be adjusted in the positive adjustment direction until the target parameter value of the energy efficiency correlation parameter is determined when the heat pump system is at the maximum energy efficiency point; if the candidate energy efficiency ratio COP2 is less than or equal to the initial energy efficiency ratio COP1, the parameter value of the energy efficiency correlation parameter is adjusted in a negative adjustment direction until the target parameter value of the energy efficiency correlation parameter is determined when the heat pump system is at the maximum energy efficiency point.

[0133] It should be noted that the above examples are only used to assist in understanding the present application and do not constitute a limitation on the heat pump system control method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0134] The present application also provides a heat pump system. Figure 4 The heat pump system may include an evaporator 1, a compressor 2, a condenser 3, an electronic expansion valve 4 and a control module 5; the control module 5 is connected to the evaporator 1, the compressor 2, the condenser 3 and the electronic expansion valve 4, and the control module 5 is used to implement the steps of the heat pump system control method in the above embodiment.

[0135] In one possible implementation, please refer to Figure 5 The control module 5 may include a sensor group 51, a data acquisition unit 52, a MEPT algorithm unit 53 and an execution unit 54; the data acquisition unit 52 uses the sensor group 51 to collect parameter values of energy efficiency-related parameters such as the inlet temperature of the evaporator 1, the input power and frequency of the compressor 2, and the outlet pressure of the condenser 3, and transmits the collected parameter values to the MEPT algorithm unit 53; the MEPT algorithm unit 53 calculates the real-time energy efficiency ratio of the heat pump system by using the received data, and executes the maximum energy efficiency point tracking algorithm based on the real-time energy efficiency ratio, so as to find the target parameter values of the energy efficiency-related parameters when the heat pump system is at the maximum energy efficiency point, and outputs relevant control instructions to the execution unit 54; the execution unit 54 can control the heat pump system to operate according to the target parameter values at the maximum energy efficiency point based on the received control instructions.

[0136] The heat pump system provided in the embodiments of the present application utilizes the heat pump system control method of the aforementioned embodiments to reduce energy efficiency losses, thereby ensuring that the heat pump system maintains a good energy efficiency ratio under various environmental conditions. Compared to the prior art, the beneficial effects of the heat pump system provided in the embodiments of the present application are the same as those of the heat pump system control method provided in the aforementioned embodiments. Other technical features of the heat pump system are the same as those disclosed in the aforementioned embodiments and are not further described here.

[0137] An embodiment of the present application also provides a control device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the heat pump system control method in the above embodiment.

[0138] Reference below Figure 6 , which shows a structural schematic diagram of a control device suitable for implementing an embodiment of the present application. Figure 6 The control device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0139] like Figure 6 As shown, the control device may include a processing device 101 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory 102 or a program loaded from a storage device 103 into a random access memory 104. Random access memory 104 also stores various programs and data required for the operation of the control device. Processing device 101, read-only memory 102, and random access memory 104 are interconnected via a bus 105. An input / output interface 106 is also connected to bus 105. Typically, the following systems may be connected to input / output interface 106: input device 107 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output device 108 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage device 103 including, for example, a magnetic tape, hard disk, etc.; and communication device 109. Communication device 109 may allow the control device to communicate with other devices wirelessly or by wire to exchange data. Although the figures show a control device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0140] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 103, or installed from a read-only memory 102. When the computer program is executed by the processing device 101, the above-mentioned functions defined in the method of the embodiment of the present application are performed.

[0141] The control device provided in the embodiments of the present application, utilizing the heat pump system control method of the aforementioned embodiments, can reduce energy efficiency losses, thereby ensuring that the heat pump system maintains a good energy efficiency ratio under various environmental conditions. Compared to the prior art, the beneficial effects of the control device provided in the embodiments of the present application are the same as those of the heat pump system control method provided in the aforementioned embodiments. Other technical features of the control device are the same as those disclosed in the aforementioned embodiments and are not further described here.

[0142] It should be understood that the various parts of the embodiments of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any appropriate manner in any one or more embodiments or examples.

[0143] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the above claims.

[0144] An embodiment of the present application further provides a computer-readable storage medium storing a computer program executable on a processor, wherein the computer program is used to execute the heat pump system control method of the above embodiment.

[0145] The computer-readable storage medium provided in the embodiments of the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in combination with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0146] The computer-readable storage medium may be included in the control device, or may exist independently without being assembled into the control device.

[0147] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the control device, the control device: dynamically adjusts the parameter value of the energy efficiency correlation parameter of the heat pump system based on the maximum energy efficiency point tracking algorithm to determine the target parameter value of the energy efficiency correlation parameter when the heat pump system is at the maximum energy efficiency point; the heat pump system operates according to the target parameter value of the energy efficiency correlation parameter.

[0148] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0149] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0150] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0151] The computer-readable storage medium provided in the embodiments of the present application stores computer-readable program instructions for executing the aforementioned heat pump system control method, thereby reducing energy efficiency losses and ensuring that the heat pump system maintains a good energy efficiency ratio under different environmental conditions. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the embodiments of the present application are the same as those of the heat pump system control method provided in the aforementioned embodiments, and are not further described here.

[0152] An embodiment of the present application further provides a computer program product, including a computer program, which implements the steps of the above-mentioned heat pump system control method when executed by a processor.

[0153] The computer program product provided in the embodiments of the present application can reduce energy efficiency losses, thereby ensuring that the heat pump system maintains a good energy efficiency ratio under different environmental conditions. Compared with the prior art, the beneficial effects of the computer program product provided in the embodiments of the present application are the same as the beneficial effects of the heat pump system control method provided in the above embodiments, and will not be repeated here.

[0154] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent processing scope of the present application.

Claims

1. A heat pump system control method, characterized in that: The method comprises: Based on the maximum energy efficiency point tracking algorithm, dynamically adjust the parameter value of the energy efficiency correlation parameter of the heat pump system to determine the target parameter value of the energy efficiency correlation parameter when the heat pump system is at the maximum energy efficiency point; The heat pump system operates according to the target parameter value of the energy efficiency correlation parameter.

2. The method according to claim 1, wherein The step of dynamically adjusting the parameter value of the energy efficiency correlation parameter of the heat pump system based on the maximum energy efficiency point tracking algorithm to determine the target parameter value of the energy efficiency correlation parameter when the heat pump system is at the maximum energy efficiency point includes: Obtaining the energy efficiency ratio of the heat pump system at a current moment as an initial energy efficiency ratio; Obtaining a benchmark adjustment step size of the energy efficiency correlation parameter in a current period, and determining a target adjustment step size based on the benchmark adjustment step size of the energy efficiency correlation parameter in the current period; Based on the target adjustment step size, adjusting the parameter value of the energy efficiency correlation parameter in a preset adjustment direction to obtain a candidate parameter value of the energy efficiency correlation parameter; controlling the heat pump system to operate according to the candidate parameter value of the energy efficiency correlation parameter, and obtaining an energy efficiency ratio of the heat pump system under the candidate parameter value of the energy efficiency correlation parameter as a candidate energy efficiency ratio; A target parameter value of the energy efficiency correlation parameter is determined according to the initial energy efficiency ratio and the candidate energy efficiency ratio.

3. The method according to claim 2, wherein The step of determining the target parameter value of the energy efficiency correlation parameter based on the initial energy efficiency ratio and the candidate energy efficiency ratio includes: If the candidate energy efficiency ratio is greater than the initial energy efficiency ratio, the candidate energy efficiency ratio is used as a new initial energy efficiency ratio, and after a preset time, a benchmark adjustment step size of the energy efficiency correlation parameter in the next cycle is obtained; Based on the benchmark adjustment step of the next cycle, a new target adjustment step is determined, and the step of adjusting the parameter value of the energy efficiency correlation parameter according to the preset adjustment direction based on the target adjustment step is returned to execute to obtain the candidate parameter value of the energy efficiency correlation parameter until the target parameter value of the energy efficiency correlation parameter is determined.

4. The method according to claim 2, wherein The step of determining a target parameter value of the energy efficiency correlation parameter based on the initial energy efficiency ratio and the candidate energy efficiency ratio further includes: If the candidate energy efficiency ratio is less than or equal to the initial energy efficiency ratio, the candidate energy efficiency ratio is used as a new initial energy efficiency ratio, and after a preset time period, a benchmark adjustment step size of the energy efficiency correlation parameter in the next period is obtained; Determining a new target adjustment step size based on the benchmark adjustment step size for the next cycle; Based on the new target adjustment step size, the parameter value of the energy efficiency correlation parameter is adjusted in the opposite direction of the preset adjustment direction to obtain a new candidate parameter value of the energy efficiency correlation parameter, and the process returns to executing the step of controlling the heat pump system to operate according to the candidate parameter value of the energy efficiency correlation parameter until the target parameter value of the energy efficiency correlation parameter is determined.

5. The method according to claim 2, wherein The step of obtaining the benchmark adjustment step of the energy efficiency correlation parameter in the current period includes: Obtain the absolute value of the difference between the candidate energy efficiency ratio of the previous cycle and the initial energy efficiency ratio as the historical energy efficiency deviation; determining a candidate adjustment step size based on the historical energy efficiency deviation, the energy efficiency ratio of the heat pump system at a current moment, and the target adjustment step size of the previous cycle; A benchmark adjustment step size of the energy efficiency correlation parameter in a current period is determined according to the candidate adjustment step size.

6. The method according to claim 5, wherein The step of determining a benchmark adjustment step size of the energy efficiency correlation parameter in the current period based on the candidate adjustment step size includes: Obtaining a current parameter value change rate of an environmental sensitivity parameter of the heat pump system; If the current parameter value change rate is less than a preset change threshold, the candidate adjustment step size is used as the benchmark adjustment step size of the energy efficiency correlation parameter in the current period; If the change rate of the current parameter value is greater than or equal to the preset change threshold, the candidate adjustment step size is increased to obtain a benchmark adjustment step size of the energy efficiency correlation parameter in the current period.

7. The method according to claim 5, wherein The step of determining a benchmark adjustment step size of the energy efficiency correlation parameter in the current period based on the candidate adjustment step size includes: If the historical energy efficiency deviation is less than the preset deviation threshold, reducing the candidate adjustment step size to obtain a benchmark adjustment step size of the energy efficiency correlation parameter in the current period; If the historical energy efficiency deviation is greater than or equal to the preset deviation threshold, the candidate adjustment step size is used as the benchmark adjustment step size of the energy efficiency correlation parameter in the current period.

8. The method according to claim 2, wherein In a case where the energy efficiency correlation parameter includes a plurality of sub-energy efficiency parameters, the step of obtaining a benchmark adjustment step size of the energy efficiency correlation parameter in the current period further includes: Obtaining a benchmark adjustment step size and weight value of each of the sub-energy efficiency parameters in the current cycle; Based on the weight value of each of the sub-energy efficiency parameters, a weighted fusion process is performed on the benchmark adjustment step lengths of each of the sub-energy efficiency parameters in the current cycle to obtain the benchmark adjustment step length of the energy efficiency correlation parameter in the current cycle.

9. The method according to claim 2, wherein The step of determining the target adjustment step size according to the benchmark adjustment step size of the energy efficiency correlation parameter in the current cycle includes: If the benchmark adjustment step length of the energy efficiency correlation parameter in the current cycle is within a preset step length range, the benchmark adjustment step length of the energy efficiency correlation parameter in the current cycle is used as the target adjustment step length; If the benchmark adjustment step size of the energy efficiency correlation parameter in the current cycle is outside the preset step size range, then when the benchmark adjustment step size of the energy efficiency correlation parameter in the current cycle is less than the step size lower limit value of the preset step size range, the step size lower limit value is used as the target adjustment step size; and When the reference adjustment step of the energy efficiency correlation parameter in the current cycle is greater than the upper limit of the step range, the upper limit is used as the target adjustment step.

10. A heat pump system, characterized in that: The heat pump system includes an evaporator, a compressor, a condenser, an electronic expansion valve and a control module; the control module is connected to the evaporator, the compressor, the condenser and the electronic expansion valve, and the control module is used to implement the steps of the heat pump system control method as described in any one of claims 1 to 9.

11. A control device, characterized in that: The control device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the heat pump system control method according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the heat pump system control method according to any one of claims 1 to 9.

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