Method and device for controlling compressor and energy storage air conditioning system

Abstract

The invention provides a method and device for controlling a compressor and an energy storage air conditioner system, and relates to the field of energy storage air conditioners. The method comprises the steps that an air conditioning unit where a compressor is located conveys cold water to a cooling device of an energy storage battery, and the state of the energy storage battery is determined; determining a predicted value of a thermal load parameter of the compressor; and adjusting the working frequency of the compressor according to the state of the energy storage battery and the difference information between the current value and the predicted value of the thermal load parameter. By predicting the future thermal load condition of the compressor and combining the state of the energy storage battery, the working frequency of the compressor is adjusted in advance, the thermal load change is smoothed, and the system stability is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of energy storage air conditioning, and in particular to a method and device for controlling a compressor and an energy storage air conditioning system. Background Art

[0002] In the energy storage air conditioning system, the air conditioning unit delivers cold water to the cooling device of the energy storage battery to cool the heat generated by the energy storage battery.

[0003] In some related technologies, the energy storage air conditioning system monitors the liquid supply temperature of the cooling device in real time. When the liquid supply temperature is lower than the set temperature, the operating frequency of the compressor is controlled to decrease. When the liquid supply temperature is higher than the set temperature, the operating frequency of the compressor is controlled to increase.

[0004] This real-time monitoring and control mode has a certain hysteresis, large thermal load fluctuations, and poor system stability. Summary of the invention

[0005] In the disclosed embodiment, during the process in which the air-conditioning unit where the compressor is located delivers cold water to the cooling device of the energy storage battery, it is possible to predict the future heat load of the compressor, and pre-adjust the operating frequency of the compressor in combination with the heating and power storage conditions of the energy storage battery represented by the state of the energy storage battery. Compared with the mechanism for adjusting the compressor based on real-time monitoring data, the pre-adjustment mechanism can smooth out the changes in heat load, reduce heat load fluctuations, and thereby improve system stability.

[0006] Some embodiments of the present disclosure provide a method for controlling a compressor, wherein an air-conditioning unit in which the compressor is located supplies cold water to a cooling device of an energy storage battery, and the method comprises: determining a state of the energy storage battery; determining a predicted value of a heat load parameter of the compressor; and adjusting the operating frequency of the compressor according to the state of the energy storage battery and information on the gap between a current value and a predicted value of the heat load parameter.

[0007] In some embodiments, determining the state of the energy storage battery includes at least one of the following: when the current temperature of the energy storage battery is greater than a preset temperature and the current charging rate of the energy storage battery is greater than the preset charging rate, determining that the energy storage battery is in a high heating state and a fast charging state; when the current temperature of the energy storage battery is greater than the preset temperature and the current charging rate of the energy storage battery is not greater than the preset charging rate, determining that the energy storage battery is in a high heating state and a slow charging state; when the current temperature of the energy storage battery is not greater than the preset temperature and the current charging rate of the energy storage battery is greater than the preset charging rate, determining that the energy storage battery is in a low heating state and a fast charging state; when the current temperature of the energy storage battery is not greater than the preset temperature and the current charging rate of the energy storage battery is not greater than the preset charging rate, determining that the energy storage battery is in a low heating state and a slow charging state.

[0008] In some embodiments, determining the predicted value of the heat load parameter of the compressor includes: using a prediction model to process inputted influence data of the heat load parameter and outputting the predicted value of the heat load parameter.

[0009] In some embodiments, the heat load parameters include: at least one of the return liquid temperature of the cooling device of the energy storage battery and the heating power of the energy storage battery; in some embodiments, the influencing data of the heat load parameters include: at least one of the charging and discharging state of the energy storage battery, the temperature of the energy storage battery, the ambient temperature, the liquid supply temperature of the cooling device of the energy storage battery, and the liquid supply setting temperature.

[0010] In some embodiments, the prediction model includes a linear regression prediction model or a convolutional neural network prediction model.

[0011] In some embodiments, adjusting the operating frequency of the compressor includes: when the energy storage battery is in a high heating state and a fast charging state, if the current value of the heat load parameter is greater than the predicted value, increasing the operating frequency of the compressor by a first frequency.

[0012] In some embodiments, adjusting the operating frequency of the compressor further comprises: if the current value of the heat load parameter is not greater than the predicted value, increasing the operating frequency of the compressor by a second frequency, the first frequency being greater than the second frequency.

[0013] In some embodiments, adjusting the operating frequency of the compressor also includes: detecting the current liquid return temperature of the cooling device of the energy storage battery at every preset time after increasing the operating frequency of the compressor by a second frequency; increasing the operating frequency of the compressor by the second frequency when the current liquid return temperature of the cooling device of the energy storage battery is greater than the historical liquid return temperature of the cooling device of the energy storage battery before the preset time; and maintaining the current operating frequency of the compressor when the current liquid return temperature of the cooling device of the energy storage battery is not greater than the historical liquid return temperature of the cooling device of the energy storage battery before the preset time.

[0014] In some embodiments, adjusting the operating frequency of the compressor includes: when the energy storage battery is in a high heating state and a slow charging state, if the current value of the heat load parameter is greater than the predicted value, increasing the operating frequency of the compressor by a third frequency; if the current value of the heat load parameter is not greater than the predicted value, maintaining the current operating frequency of the compressor.

[0015] In some embodiments, adjusting the operating frequency of the compressor also includes: detecting the current temperature of the energy storage battery at every preset time after increasing the operating frequency of the compressor by a third frequency; increasing the operating frequency of the compressor by a third frequency when the historical temperature of the energy storage battery before the preset time is less than the current temperature of the energy storage battery; and maintaining the current operating frequency of the compressor when the historical temperature of the energy storage battery before the preset time is not less than the current temperature of the energy storage battery.

[0016] In some embodiments, adjusting the operating frequency of the compressor includes: when the energy storage battery is in a low heating state and a fast charging state, if the current value of the heat load parameter is greater than the predicted value, increasing the operating frequency of the compressor by a fourth frequency; if the current value of the heat load parameter is not greater than the predicted value, maintaining the current operating frequency of the compressor.

[0017] In some embodiments, adjusting the operating frequency of the compressor further includes: detecting the remaining power of the energy storage battery at every preset time after the operating frequency of the compressor is increased by a fourth frequency; increasing the operating frequency of the compressor by the fourth frequency when the difference between the power storage limit value of the energy storage battery and the remaining power storage of the energy storage battery is greater than a preset value; and maintaining the current operating frequency of the compressor when the difference between the power storage limit value of the energy storage battery and the remaining power storage of the energy storage battery is not greater than a preset value.

[0018] In some embodiments, adjusting the operating frequency of the compressor includes: maintaining the current operating frequency of the compressor when the energy storage battery is in a low heating state and a slow charging state.

[0019] Some embodiments of the present disclosure provide a device for controlling a compressor, comprising: a memory; and a processor coupled to the memory, wherein the processor is configured to execute a method for controlling the compressor based on instructions stored in the memory.

[0020] Some embodiments of the present disclosure provide a device for controlling a compressor, including: a module for executing a method for controlling a compressor.

[0021] Some embodiments of the present disclosure provide an energy storage air conditioning system, comprising: an energy storage battery and a cooling device thereof; an air conditioning unit that delivers cold water to the cooling device of the energy storage battery, comprising a compressor; and a device for controlling the compressor, configured to execute a method for controlling the compressor.

[0022] Some embodiments of the present disclosure provide a computer-readable storage medium having computer instructions stored thereon. When the computer instructions are executed by a processor, the steps of a method for controlling a compressor are implemented.

[0023] Some embodiments of the present disclosure provide a computer program product, including a computer program, which implements the steps of the method for controlling a compressor when the computer program is executed by a processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The following is a brief introduction to the drawings required for use in the embodiments or related technical descriptions. The present disclosure can be more clearly understood according to the following detailed description with reference to the drawings.

[0025] Obviously, the drawings described below are only some embodiments of the present disclosure, and a person skilled in the art can obtain other drawings based on these drawings without creative work.

[0026] Figure 1 A schematic diagram showing an energy storage air conditioning system according to some embodiments of the present disclosure.

[0027] Figure 2 A flowchart diagram showing a method for controlling a compressor according to some embodiments of the present disclosure is shown.

[0028] Figure 3 A schematic diagram showing a flow chart of adjusting the operating frequency of a compressor according to some embodiments of the present disclosure.

[0029] Figure 4 A schematic structural diagram of a device for controlling a compressor according to some embodiments of the present disclosure is shown.

[0030] Figure 5 A schematic structural diagram of a device for controlling a compressor according to some embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0031] It should be noted that the relative arrangement of components and steps, the numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

[0032] Those skilled in the art can understand that the terms "first" and "second" in the embodiments of the present disclosure are only used to distinguish different steps, devices or modules, etc., and neither represent any specific technical meaning nor indicate the necessary logical order between them.

[0033] It should also be understood that in the embodiments of the present disclosure, “plurality” may refer to two or more than two, and “at least one” may refer to one, two, or more than two.

[0034] It should also be understood that any component, data or structure mentioned in the embodiments of the present disclosure can generally be understood as one or more, unless explicitly limited or otherwise indicated in the context.

[0035] In addition, the term "and / or" in the present disclosure is only a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present disclosure generally indicates that the associated objects before and after are in an "or" relationship.

[0036] It should also be understood that the description of the various embodiments in the present disclosure focuses on the differences between the various embodiments, and the same or similar aspects thereof can be referenced to each other, and for the sake of brevity, they will not be described one by one.

[0037] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0038] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present disclosure, its application, or uses.

[0039] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0040] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0041] In addition, in order to avoid obscuring the present disclosure due to unnecessary details, only the processing steps and / or device structures closely related to at least the scheme according to the present disclosure are shown in the drawings, and other details that are not closely related to the present disclosure are omitted. It should also be noted that similar reference numerals and letters in the drawings indicate similar items, and therefore once an item is defined in one drawing, it does not need to be discussed again for subsequent drawings.

[0042] When electricity demand is low or electricity prices are low, the energy storage air conditioning system uses a low-cost power source (such as an external power source or solar panels) to store electricity in the energy storage battery. When electricity demand is high or electricity prices are high, the energy storage battery is used to operate the air conditioning unit, thereby reducing dependence on external power sources, reducing electricity consumption, and improving the operating efficiency of the air conditioner.

[0043] Figure 1 A schematic diagram of an energy storage air conditioning system according to some embodiments of the present disclosure is shown. Figure 1As shown, the energy storage air conditioning system of this embodiment includes: an energy storage battery 110 and its cooling device 120, a plurality of air conditioning units 130 for delivering cold water to the cooling device 120 of the energy storage battery 110, and a device (referred to as "control device") 140 for controlling the compressor in the air conditioning unit 130. The air conditioning unit 130 delivers cold water to the cooling device 120 of the energy storage battery 110 to cool the heat generated by the heat generated by the energy storage battery 110. The liquid supply pipe of the air conditioning unit 130 is connected to the liquid supply main pipe of the cooling device 120, and the liquid return pipe of the air conditioning unit 130 is connected to the liquid return main pipe of the cooling device 120. The cold water flowing out of the liquid supply pipe of the air conditioning unit 130 flows into the cooling device 120 through the liquid supply main pipe, and the cold water in the cooling device 120 cools the heat generated by the heat generated by the energy storage battery 110, and then flows out from the liquid return main pipe of the cooling device 120, and enters the air conditioning unit 130 through the liquid return pipe of the air conditioning unit 130, completing a cycle.

[0044] The various components of the energy storage air conditioning system are described below.

[0045] The energy storage battery 110 refers to a type of battery used to store electrical energy, and can be used to meet the needs of energy storage, peak load shifting, backup power supply, etc. The cooling device 120 cools the energy storage battery 110 by convection heat transfer. The cooling device 120 is, for example, a cooling plate, but is not limited to the example.

[0046] The air conditioning unit 130 is a device that uses a specific refrigerant and a compressor 131 to work to produce cold water or cold air to adjust temperature, humidity, ventilation and air quality. The air conditioning unit 130 includes, for example, a compressor 131, a condenser 132 and its fan 133, an evaporator 134, a liquid storage tank 135, a water pump 136, a throttle valve 137 and other components. The compressor 131 is the power core of the refrigeration system. It can increase the temperature and pressure of the inhaled low-temperature, low-pressure refrigerant vapor by compression, so that the refrigerant inside can flow, and achieve the refrigeration effect through heat-work conversion. The condenser 132 is an important component in the refrigeration system. Its main function is to dissipate heat and cool the high-temperature and high-pressure refrigerant vapor discharged from the compressor 131, so that it condenses into liquid high-pressure refrigerant. The condenser 132 is a heat exchanger that can dissipate the heat absorbed by the refrigerant into the atmosphere through the condenser 132. The condenser 132 is usually equipped with a fan 133 to improve the heat dissipation efficiency of the condenser 132 by accelerating the air flow. The function of the evaporator 134 is to utilize the liquid low-temperature refrigerant to evaporate easily under low pressure, turn into steam and absorb the heat of the cooled medium to achieve the purpose of refrigeration. The liquid storage tank 135 is mainly used to store the high-pressure liquid from the condenser 132, so that the liquid does not flood the surface of the condenser 132. At the same time, it can make full use of the heat transfer area of ​​the condenser 132, and adjust and stabilize the circulation of the refrigerant to adapt to the changes in working conditions. In addition, the liquid storage tank 135 also plays the role of liquid sealing to prevent the high-pressure refrigerant gas from escaping into the low-pressure system pipeline. In the air-conditioning system, the water pump 136 is usually used to drive the circulation of chilled water or cooling water in the system. This helps to take heat away from the room and dissipate it into the atmosphere through the condenser 132. The throttle valve 137 plays the role of throttling and reducing pressure in the refrigeration system. It can throttle and reduce the pressure of the high-pressure liquid refrigerant at the outlet of the condenser 132 into a low-pressure liquid refrigerant, and then send it to the evaporator 134 for evaporation and heat absorption. The various components of the air-conditioning unit work together to achieve the function of cooling or heating.

[0047] The device for controlling the compressor (control device) 140 is configured to execute the method for controlling the compressor proposed in the embodiment of the present disclosure. In the process of the air-conditioning unit where the compressor is located delivering cold water to the cooling device of the energy storage battery, the method for controlling the compressor adjusts the operating frequency of the compressor in advance by predicting the future heat load of the compressor, combining the heating and power storage conditions of the energy storage battery represented by the state of the energy storage battery. Compared with the mechanism for adjusting the compressor based on real-time monitoring data, the pre-adjustment mechanism can smooth the heat load changes, reduce heat load fluctuations, and thus improve system stability. The method for controlling the compressor will be described in detail later.

[0048] Figure 2 A flow chart of a method for controlling a compressor according to some embodiments of the present disclosure is shown. The method is, for example, executed by a device for controlling a compressor (control device). Figure 2 As shown, the method for controlling a compressor of this embodiment includes the following steps.

[0049] At step 210 , the state of the energy storage battery is determined.

[0050] The state of the energy storage battery is used to characterize the heating and power storage conditions of the energy storage battery. The state of the energy storage battery includes, for example, a high heating state and a fast power storage state, a high heating state and a slow power storage state, a low heating state and a fast power storage state, a low heating state and a slow power storage state, etc., but is not limited to the examples given.

[0051] Among them, by comparing the current temperature of the energy storage battery with the preset temperature, the heating condition of the energy storage battery is determined; by comparing the current charging rate of the energy storage battery with the preset charging rate, the storage condition of the energy storage battery is determined. The preset temperature and the preset charging rate can be set according to the characteristics and control needs of the energy storage battery. For example, the preset temperature is 60~80 degrees, and the preset charging rate is 0.1 coulomb / second, but it is not limited to the examples given.

[0052] In some embodiments, when the current temperature of the energy storage battery is greater than a preset temperature and the current charging rate of the energy storage battery is greater than the preset charging rate, it is determined that the energy storage battery is in a high heating state and a fast charging state; when the current temperature of the energy storage battery is greater than the preset temperature and the current charging rate of the energy storage battery is not greater than the preset charging rate, it is determined that the energy storage battery is in a high heating state and a slow charging state; when the current temperature of the energy storage battery is not greater than the preset temperature and the current charging rate of the energy storage battery is greater than the preset charging rate, it is determined that the energy storage battery is in a low heating state and a fast charging state; when the current temperature of the energy storage battery is not greater than the preset temperature and the current charging rate of the energy storage battery is not greater than the preset charging rate, it is determined that the energy storage battery is in a low heating state and a slow charging state.

[0053] Generally, the energy storage battery releases more heat in the fast charging state than in the slow charging state, and the energy storage battery releases more heat in the high heating state than in the low heating state. The heating and charging conditions of the energy storage battery represented by the state of the energy storage battery can be used to preliminarily judge the approximate situation of the heat that the energy storage battery may release, laying the foundation for accurately controlling the working frequency of the compressor.

[0054] In step 220, a predicted value of a heat load parameter of the compressor is determined, thereby predicting the future heat load condition of the compressor.

[0055] In some embodiments, the prediction model is used to process the input data affecting the heat load parameter and output the predicted value of the heat load parameter. Thus, based on the historical data affecting the heat load parameter, the future heat load of the compressor can be accurately predicted, laying the foundation for pre-adjusting the operating frequency of the compressor.

[0056] Among them, the heat load parameter is used to characterize the load (or load) of the heat caused by the heat generated by the cooling energy storage battery, that is, the heat load of the compressor. However, it is very difficult to directly and accurately calculate the heat caused by the heat generated by the cooling energy storage battery in practice. The embodiment of the present disclosure selects a heat load parameter that can characterize the heat caused by the heat generated by the cooling energy storage battery and is easy to calculate accurately. Such heat load parameters are, for example: the return liquid temperature of the cooling device of the energy storage battery, or the heat generation power of the energy storage battery. The selection process of the return liquid temperature is analyzed below.

[0057] From the thermodynamic heat formula, we can know that the cooling capacity of energy storage air conditioning is:

[0058] Q = cm (t 回液 -t 供液 )

[0059] Where c is the specific heat capacity, m is the mass flow rate of the coolant, c and m are basically constants, and the supply temperature inside the energy storage air conditioner (t 供液 ) is generally constant (for example, 20°C), so the heat (Q) generated by the cooling energy storage battery and the return liquid temperature (t 回液 ) are linearly related. Therefore, the return liquid temperature is selected as the heat load parameter.

[0060] The heat caused by the cooling of the energy storage battery is related to the charging and discharging state of the energy storage battery, the temperature of the energy storage battery, the ambient temperature, the liquid supply temperature of the cooling device of the energy storage battery, the liquid supply setting temperature, etc. Therefore, at least one of the charging and discharging state of the energy storage battery, the temperature of the energy storage battery, the ambient temperature, the liquid supply temperature of the cooling device of the energy storage battery, and the liquid supply setting temperature is selected as the influencing data of the heat load parameter, so as to accurately predict the future heat load of the compressor.

[0061] The prediction model includes, for example, a linear regression prediction model or a convolutional neural network prediction model. The linear regression prediction model is a statistical method for predicting numerical data. It assumes that there is a linear relationship between the target variable (the variable you want to predict) and one or more feature variables (i.e., the independent variables used for prediction). The goal of linear regression is to find an optimal linear equation so that the difference (i.e., error) between the predicted value and the actual value is minimized. If the heat load parameter and the selected heat load parameter's influencing data (such as the energy storage battery temperature, ambient temperature, etc.) are roughly linearly related, a linear regression prediction model can be selected for prediction, taking into account both prediction efficiency and prediction accuracy. If the heat load parameter and the selected heat load parameter's influencing data have more complex relationships in addition to a linear relationship, or these relationships are difficult to determine, a convolutional neural network prediction model can be selected to improve prediction accuracy. When predicting, the selected heat load parameter's influencing data is input into the prediction model, and the prediction model can predict the output heat load parameter's predicted value.

[0062] In step 230, the operating frequency of the compressor is adjusted according to the state of the energy storage battery and the difference information between the current value and the predicted value of the heat load parameter.

[0063] This embodiment predicts the future heat load of the compressor and adjusts the operating frequency of the compressor in advance in combination with the state of the energy storage battery, thereby smoothing the heat load change and improving the system stability.

[0064] Combine the following Figure 3 Describe the process of adjusting the operating frequency of the compressor. Figure 3 As shown, adjusting the operating frequency of the compressor includes the following steps.

[0065] In step 310, when, for example, the supply temperature of the cooling device is greater than the set temperature, the heat load prediction control is started, but it is not necessarily limited by this condition.

[0066] Then, according to the state of the energy storage battery and the gap information between the current value and the predicted value of the heat load parameter, the operating frequency of the compressor is adjusted, and the process is described in detail below. Among them, when the energy storage battery is in a high heating state and a fast charging state, the energy storage battery is in a state of relatively large heating, and step 320 is executed; when the energy storage battery is in a high heating state and a slow charging state, the energy storage battery is in a state of medium heating, and step 330 is executed; when the energy storage battery is in a low heating state and a fast charging state, the energy storage battery is in a state of average heating, and step 340 is executed; when the energy storage battery is in a low heating state and a slow charging state, the energy storage battery is in a state of relatively low heating, and step 350 is executed.

[0067] In step 320 - 1 , according to the method for determining the state of the energy storage battery described above, it is determined that the energy storage battery is in a high heat generation state and a rapid power storage state, and then step 320 - 2 is executed.

[0068] In step 320-2, the current value of the heat load parameter is compared with the predicted value at every preset time to determine whether the heat load is higher than expected. Depending on the different results of the comparison, step 320-3 or 320-4 is executed.

[0069] In step 320-3, if the current value of the heat load parameter is greater than the predicted value, the operating frequency of the compressor is increased by the first frequency. Since the energy storage battery is in a state of relatively large heat generation and the heat load is higher than expected, the operating frequency of the compressor is increased by a large margin to better cope with the upcoming heat generation peak.

[0070] In step 320-4, if the current value of the heat load parameter is not greater than the predicted value, the operating frequency of the compressor is increased by the second frequency, and the first frequency is greater than the second frequency. Since the energy storage battery is in a state of relatively high heat generation, the operating frequency of the compressor needs to be increased, and it is still necessary to cope with the upcoming heat peak, but the heat load is not higher than expected, and the increase in the operating frequency of the compressor can be appropriately reduced, so as to accurately match the cooling requirements of the energy storage battery. Then execute step 320-5.

[0071] In step 320 - 5 , after the operating frequency of the compressor is increased by the second frequency, the current return liquid temperature of the cooling device of the energy storage battery is detected at every preset time.

[0072] In step 320-6, the current return liquid temperature of the cooling device of the energy storage battery is compared with the historical return liquid temperature of the cooling device of the energy storage battery before a preset time to determine whether the heat generation and cooling demand of the energy storage battery are still increasing after adjustment.

[0073] In step 320-7, when the current liquid return temperature of the cooling device of the energy storage battery is greater than the historical liquid return temperature of the cooling device of the energy storage battery before the preset time, it means that the heating value and cooling demand of the energy storage battery are still increasing after adjustment, and the operating frequency of the compressor can be increased to the second frequency to further stabilize the heating value and cooling demand of the energy storage battery.

[0074] In step 320-8, when the current liquid return temperature of the cooling device of the energy storage battery is not greater than the historical liquid return temperature of the cooling device of the energy storage battery before the preset time, it means that the heat generation and cooling demand of the energy storage battery are basically stable after adjustment, and the current operating frequency of the compressor can be maintained.

[0075] In step 330 - 1 , according to the method for determining the state of the energy storage battery described above, it is determined that the energy storage battery is in a high heating state and a slow charging state, and then step 330 - 2 is executed.

[0076] In step 330-2, the current value of the heat load parameter is compared with the predicted value at every preset time to determine whether the heat load is higher than expected. Depending on the different results of the comparison, step 330-3 or 330-4 is executed.

[0077] In step 330-3, if the current value of the heat load parameter is not greater than the predicted value, it means that the heat load is not higher than expected, and the energy storage battery is in a medium heat generation state. The current operating frequency of the compressor can be maintained to accurately match the cooling requirements of the energy storage battery.

[0078] In step 330-4, if the current value of the heat load parameter is greater than the predicted value, the operating frequency of the compressor is increased by a third frequency. Although the energy storage battery is in a state of medium heat generation, the heat load is already higher than expected, so the operating frequency of the compressor is increased to better cope with the upcoming heat generation, thereby accurately matching the cooling requirements of the energy storage battery. Then, step 330-5 is executed.

[0079] The third frequency may be lower than the first frequency, so as to accurately match the cooling requirement of the energy storage battery and reduce the operating frequency of the compressor when the cooling requirement of the energy storage battery decreases.

[0080] In step 330 - 5 , the current temperature of the energy storage battery is detected at every preset time after the operating frequency of the compressor is increased by the third frequency.

[0081] In step 330 - 6 , the historical temperature of the energy storage battery before the preset time is compared with the current temperature of the energy storage battery to determine whether the energy storage battery is still heating up after adjustment.

[0082] In step 330-7, when the historical temperature of the energy storage battery before the preset time is less than the current temperature of the energy storage battery, it means that the energy storage battery is still heating up after adjustment, and the operating frequency of the compressor is increased by the third frequency to further stabilize the temperature and cooling demand of the energy storage battery.

[0083] In step 330-8, when the historical temperature of the energy storage battery before the preset time is not less than the current temperature of the energy storage battery, it means that the temperature of the energy storage battery is basically stable after adjustment, and the current operating frequency of the compressor can be maintained.

[0084] In step 340 - 1 , according to the method for determining the state of the energy storage battery described above, it is determined that the energy storage battery is in a low heat generation state and a fast power storage state, and then step 340 - 2 is executed.

[0085] In step 340-2, the current value of the heat load parameter is compared with the predicted value at every preset time to determine whether the heat load is higher than expected. Depending on the different results of the comparison, step 340-3 or 340-4 is executed.

[0086] In step 340-3, if the current value of the heat load parameter is not greater than the predicted value, it means that the heat load is not higher than expected, and the energy storage battery is in a normal heat generation state. The current operating frequency of the compressor can be maintained to accurately match the cooling requirements of the energy storage battery.

[0087] In step 340-4, if the current value of the heat load parameter is greater than the predicted value, the operating frequency of the compressor is increased by a fourth frequency. Although the energy storage battery is in a normal state of heat generation, the heat load is already higher than expected, so the operating frequency of the compressor is increased to better cope with the upcoming heat generation, thereby accurately matching the cooling requirements of the energy storage battery. Then, step 340-5 is executed.

[0088] The fourth frequency may be lower than the third frequency, so as to accurately match the cooling demand of the energy storage battery and reduce the operating frequency of the compressor when the cooling demand of the energy storage battery decreases.

[0089] In step 340 - 5 , the remaining amount of power in the energy storage battery is detected at every preset time after the operating frequency of the compressor is increased by the fourth frequency.

[0090] In step 340-6, the difference between the power storage limit value of the energy storage battery and the remaining power storage amount of the energy storage battery is compared with a preset value to determine the further charging time required for the energy storage battery.

[0091] In step 340-7, when the difference between the power storage limit value of the energy storage battery and the remaining power of the energy storage battery is greater than the preset value, it means that the energy storage battery still needs a longer charging time, and the operating frequency of the compressor can be increased by a fourth frequency to meet the continuous cooling needs of the energy storage battery in the future.

[0092] In step 340-8, when the difference between the power storage limit value of the energy storage battery and the remaining power of the energy storage battery is not greater than the preset value, it means that the energy storage battery can be charged quickly and the current operating frequency of the compressor can be maintained, thereby accurately matching the cooling requirements of the energy storage battery.

[0093] In step 350 - 1 , according to the method for determining the state of the energy storage battery described above, it is determined that the energy storage battery is in a low heating state and a slow charging state, and then step 350 - 2 is executed.

[0094] In step 350-2, when the energy storage battery is in a low heating state and a slow charging state, it indicates that the energy storage battery is in a low heating state and the current operating frequency of the compressor can be maintained, thereby accurately matching the cooling requirements of the energy storage battery.

[0095] In the above embodiment, the specific frequency values ​​of the first frequency, the second frequency, the third frequency, and the fourth frequency can be set according to the characteristics and control requirements of the compressor. As pointed out in the above embodiment, in some embodiments, the first frequency can be greater than the second frequency, the third frequency can be less than the first frequency, and the fourth frequency can be less than the third frequency, so as to accurately match the cooling demand of the energy storage battery. If the cooling demand of the energy storage battery is large, the operating frequency of the compressor is large. On the contrary, if the cooling demand of the energy storage battery is small, the operating frequency of the compressor is small. For example, the first frequency, the second frequency, the third frequency, and the fourth frequency are 8 Hz, 4 Hz, 3 Hz, and 2 Hz, respectively, but are not limited to the examples given.

[0096] In the above embodiment, the specific value of the preset time can be set according to the characteristics of the energy storage battery, the characteristics of the compressor and the control requirements. For example, the preset time is set to several minutes, but is not limited to the example.

[0097] This embodiment can predict the future heat load of the compressor, and use different adjustment amplitudes to pre-adjust the operating frequency of the compressor in combination with the different states of the energy storage battery. It can smooth the heat load changes under different working conditions and improve the system stability. In addition, the compressor pre-adjustment mechanism is also beneficial to reduce the jump amplitude of the compressor's operating frequency and extend its service life.

[0098] Figure 4 The schematic diagram of the structure of the device for controlling the compressor in some embodiments of the present disclosure is shown. Figure 4 As shown, the device 400 for controlling a compressor in this embodiment includes: a memory 410 and a processor 420 coupled to the memory 410, and the processor 420 is configured to execute the method for controlling the compressor in various embodiments based on the instructions stored in the memory 410. The method includes, for example: determining the state of the energy storage battery; determining the predicted value of the heat load parameter of the compressor; and adjusting the operating frequency of the compressor according to the state of the energy storage battery and the gap information between the current value and the predicted value of the heat load parameter. For specific implementation, please refer to the aforementioned embodiment, which will not be repeated here.

[0099] The compressor control device 400 may further include an input / output interface 430 , a network interface 440 , a storage interface 450 , etc. These interfaces 430 , 440 , 450 , the memory 410 , and the processor 420 may be connected, for example, via a bus 460 .

[0100] The memory 410 may include, for example, a system memory, a fixed non-volatile storage medium, etc. The system memory may store, for example, an operating system, an application program, a boot loader, and other programs.

[0101] The processor 420 may be implemented by a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistors or other discrete hardware components.

[0102] Among them, the input and output interface 430 provides a connection interface for input and output devices such as a display, a mouse, a keyboard, and a touch screen. The network interface 440 provides a connection interface for various networked devices. The storage interface 450 provides a connection interface for external storage devices such as SD cards and USB flash drives. The bus 460 can use any bus structure among a variety of bus structures. For example, the bus structure includes but is not limited to the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MCA) bus, and the Peripheral Component Interconnect (PCI) bus.

[0103] Figure 5 The schematic diagram of the structure of the device for controlling the compressor in some embodiments of the present disclosure is shown. Figure 5 As shown, the apparatus 500 for controlling a compressor of this embodiment includes modules 510 - 530 .

[0104] The battery status determination module 510 is configured to determine the status of the energy storage battery.

[0105] The heat load determination module 520 is configured to determine a predicted value of a heat load parameter of the compressor.

[0106] The adjustment module 530 is configured to adjust the operating frequency of the compressor according to the state of the energy storage battery and the gap information between the current value and the predicted value of the heat load parameter.

[0107] This embodiment predicts the future heat load of the compressor and adjusts the operating frequency of the compressor in advance in combination with the state of the energy storage battery, thereby smoothing the heat load change and improving the system stability.

[0108] In some embodiments, the battery state determination module 510 is configured to determine that the energy storage battery is in a high heating state and a fast charging state when the current temperature of the energy storage battery is greater than a preset temperature and the current charging rate of the energy storage battery is greater than a preset charging rate; determine that the energy storage battery is in a high heating state and a slow charging state when the current temperature of the energy storage battery is greater than a preset temperature and the current charging rate of the energy storage battery is not greater than the preset charging rate; determine that the energy storage battery is in a low heating state and a fast charging state when the current temperature of the energy storage battery is not greater than the preset temperature and the current charging rate of the energy storage battery is greater than the preset charging rate; determine that the energy storage battery is in a low heating state and a slow charging state when the current temperature of the energy storage battery is not greater than the preset temperature and the current charging rate of the energy storage battery is not greater than the preset charging rate.

[0109] By analyzing the status of the energy storage battery, we can preliminarily determine the approximate amount of heat that the energy storage battery may release, laying the foundation for accurately controlling the operating frequency of the compressor.

[0110] In some embodiments, the heat load determination module 520 is configured to process the input heat load parameter impact data using a prediction model and output a predicted value of the heat load parameter, thereby accurately predicting the future heat load of the compressor based on historical data, laying a foundation for pre-adjusting the operating frequency of the compressor.

[0111] Wherein, the heat load parameter includes: at least one of the return liquid temperature of the cooling device of the energy storage battery and the heating power of the energy storage battery, which can not only characterize the heat caused by the heating of the cooling energy storage battery, but also facilitate accurate calculation of the heat load parameter. And / or, the influencing data of the heat load parameter includes: at least one of the charging and discharging state of the energy storage battery, the temperature of the energy storage battery, the ambient temperature, the liquid supply temperature of the cooling device of the energy storage battery, and the liquid supply setting temperature, so as to accurately predict the future heat load of the compressor. The prediction model includes a linear regression prediction model or a convolutional neural network prediction model. If the heat load parameter and the influencing data of the selected heat load parameter (such as the temperature of the energy storage battery, the ambient temperature, etc.) are roughly linearly related, the linear regression prediction model can be selected for prediction, taking into account both the prediction efficiency and the prediction accuracy. If the heat load parameter and the influencing data of the selected heat load parameter have more complex relationships in addition to the linear relationship, or these relationships are difficult to determine, the convolutional neural network prediction model can be selected to improve the prediction accuracy.

[0112] In some embodiments, the adjustment module 530 is configured to increase the operating frequency of the compressor by a first frequency when the energy storage battery is in a high heating state and a fast charging state, if the current value of the heat load parameter is greater than the predicted value. Since the energy storage battery is in a state of relatively large heating and the heat load is already higher than expected, the operating frequency of the compressor is increased by a large margin to better cope with the upcoming peak heating value.

[0113] In some embodiments, the adjustment module 530 is configured to increase the operating frequency of the compressor by a second frequency if the current value of the heat load parameter is not greater than the predicted value, and the first frequency is greater than the second frequency. Since the energy storage battery is in a state of relatively high heat generation, the operating frequency of the compressor needs to be increased, and it is still necessary to cope with the upcoming heat peak, but the heat load is not higher than expected, and the increase in the operating frequency of the compressor can be appropriately reduced, so as to accurately match the cooling requirements of the energy storage battery.

[0114] In some embodiments, the adjustment module 530 is configured to detect the current return liquid temperature of the cooling device of the energy storage battery at every preset time after the operating frequency of the compressor is increased by the second frequency; when the current return liquid temperature of the cooling device of the energy storage battery is greater than the historical return liquid temperature of the cooling device of the energy storage battery before the preset time, it means that the heating value and cooling demand of the energy storage battery are still increasing after adjustment, and the operating frequency of the compressor can be increased by the second frequency to further stabilize the heating value and cooling demand of the energy storage battery; when the current return liquid temperature of the cooling device of the energy storage battery is not greater than the historical return liquid temperature of the cooling device of the energy storage battery before the preset time, it means that the heating value and cooling demand of the energy storage battery are basically stable after adjustment, and the current operating frequency of the compressor can be maintained.

[0115] In some embodiments, the adjustment module 530 is configured to increase the operating frequency of the compressor by a third frequency when the energy storage battery is in a high heating state and a slow charging state, if the current value of the heat load parameter is greater than the predicted value; although the energy storage battery is in a state of medium heating level, the heat load is already higher than expected, therefore, the operating frequency of the compressor is increased to better cope with the upcoming heating, thereby accurately matching the cooling requirements of the energy storage battery. If the current value of the heat load parameter is not greater than the predicted value, indicating that the heat load is not higher than expected, and the energy storage battery is in a state of medium heating level, the current operating frequency of the compressor can be maintained, thereby accurately matching the cooling requirements of the energy storage battery.

[0116] In some embodiments, the adjustment module 530 is configured to detect the current temperature of the energy storage battery at every preset time after the operating frequency of the compressor is increased by a third frequency; when the historical temperature of the energy storage battery before the preset time is less than the current temperature of the energy storage battery, it means that the energy storage battery is still heating up after adjustment, and the operating frequency of the compressor is increased by the third frequency to further stabilize the temperature and cooling demand of the energy storage battery; when the historical temperature of the energy storage battery before the preset time is not less than the current temperature of the energy storage battery, it means that the temperature of the energy storage battery is basically stable after adjustment and the current operating frequency of the compressor can be maintained.

[0117] In some embodiments, the adjustment module 530 is configured to increase the operating frequency of the compressor by a fourth frequency when the energy storage battery is in a low heating state and a fast charging state, if the current value of the heat load parameter is greater than the predicted value; although the energy storage battery is in a normal heating state, the heat load is already higher than expected, therefore, the operating frequency of the compressor is increased to better cope with the upcoming heating, thereby accurately matching the cooling requirements of the energy storage battery. If the current value of the heat load parameter is not greater than the predicted value, indicating that the heat load is not higher than expected, and the energy storage battery is in a normal heating state, the current operating frequency of the compressor can be maintained, thereby accurately matching the cooling requirements of the energy storage battery.

[0118] In some embodiments, the adjustment module 530 is configured to detect the remaining power of the energy storage battery at every preset time after the operating frequency of the compressor is increased by a fourth frequency; when the difference between the power storage limit value of the energy storage battery and the remaining power storage of the energy storage battery is greater than the preset value, it means that the energy storage battery still needs a longer charging time, and the operating frequency of the compressor can be increased by the fourth frequency to correspond to the continuous cooling demand of the energy storage battery in the future; when the difference between the power storage limit value of the energy storage battery and the remaining power storage of the energy storage battery is not greater than the preset value, it means that the energy storage battery can complete charging quickly and the current operating frequency of the compressor can be maintained, thereby accurately matching the cooling demand of the energy storage battery.

[0119] In some embodiments, the adjustment module 530 is configured to indicate that the energy storage battery is in a low heat generation state and a slow power storage state, and can maintain the current operating frequency of the compressor, thereby accurately matching the cooling requirements of the energy storage battery.

[0120] By predicting the future heat load of the compressor and combining the different states of the energy storage battery, different adjustment ranges are used to pre-adjust the operating frequency of the compressor. This can smooth out heat load changes under different working conditions and improve system stability. In addition, the compressor pre-adjustment mechanism is also beneficial in reducing the jump amplitude of the compressor's operating frequency and extending its service life.

[0121] It should be understood by those skilled in the art that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present disclosure may take the form of a computer program product implemented on one or more (non-transient) computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, cloud storage, etc.) containing computer program code. A computer program product should be understood as a software product that implements its solution mainly through a computer program.

[0122] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0123] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0124] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0125] The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present disclosure should be included in the protection scope of the present disclosure.

Claims

1. A method for controlling a compressor, wherein: The air conditioning unit where the compressor is located delivers cold water to the cooling device of the energy storage battery, and the method includes: Determine the status of the energy storage battery; determining predicted values ​​of heat load parameters of the compressor; The operating frequency of the compressor is adjusted according to the state of the energy storage battery and the gap information between the current value and the predicted value of the heat load parameter.

2. The method according to claim 1, wherein: Determining the state of the energy storage battery includes at least one of the following: When the current temperature of the energy storage battery is greater than the preset temperature and the current charging rate of the energy storage battery is greater than the preset charging rate, determining that the energy storage battery is in a high heating state and a fast charging state; When the current temperature of the energy storage battery is greater than the preset temperature and the current charging rate of the energy storage battery is not greater than the preset charging rate, determining that the energy storage battery is in a high heating state and a slow charging state; When the current temperature of the energy storage battery is not greater than the preset temperature and the current charging rate of the energy storage battery is greater than the preset charging rate, determining that the energy storage battery is in a low heating state and a fast charging state; When the current temperature of the energy storage battery is not greater than the preset temperature and the current charging rate of the energy storage battery is not greater than the preset charging rate, it is determined that the energy storage battery is in a low heating state and a slow charging state.

3. The method according to claim 1, wherein: Determine the predicted values ​​of the compressor heat load parameters including: The prediction model is used to process the input data of the influence of the heat load parameters and output the predicted values ​​of the heat load parameters.

4. The method according to claim 3, wherein: The heat load parameter includes: at least one of the return temperature of the cooling device of the energy storage battery and the heating power of the energy storage battery; and / or, The influencing data of the heat load parameters include: at least one of the charge and discharge state of the energy storage battery, the temperature of the energy storage battery, the ambient temperature, the liquid supply temperature of the cooling device of the energy storage battery, and the liquid supply setting temperature.

5. The method according to any one of claims 3 to 4, wherein: The prediction model includes a linear regression prediction model or a convolutional neural network prediction model.

6. The method according to any one of claims 1 to 4, wherein: Adjusting the operating frequency of the compressor includes: When the energy storage battery is in a high heating state and a fast charging state, if the current value of the heat load parameter is greater than the predicted value, the operating frequency of the compressor is increased by a first frequency.

7. The method according to claim 6, wherein: Adjusting the operating frequency of the compressor also includes: If the current value of the heat load parameter is not greater than the predicted value, the operating frequency of the compressor is increased by a second frequency, and the first frequency is greater than the second frequency.

8. The method according to claim 7, wherein: Adjusting the operating frequency of the compressor also includes: After the operating frequency of the compressor is increased to a second frequency, detecting a current return liquid temperature of the cooling device of the energy storage battery at every preset time; When the current liquid return temperature of the cooling device of the energy storage battery is greater than the historical liquid return temperature of the cooling device of the energy storage battery before a preset time, increasing the operating frequency of the compressor by a second frequency; When the current liquid return temperature of the cooling device of the energy storage battery is not greater than the historical liquid return temperature of the cooling device of the energy storage battery before a preset time, the current operating frequency of the compressor is maintained.

9. The method according to any one of claims 1 to 4, wherein: Adjusting the operating frequency of the compressor includes: When the energy storage battery is in a high heating state and a slow charging state, if the current value of the heat load parameter is greater than the predicted value, the operating frequency of the compressor is increased by a third frequency; If the current value of the heat load parameter is not greater than the predicted value, the current operating frequency of the compressor is maintained.

10. The method according to claim 9, wherein: Adjusting the operating frequency of the compressor also includes: After the operating frequency of the compressor is increased by a third frequency, detecting the current temperature of the energy storage battery at every preset time; When the historical temperature of the energy storage battery before a preset time is lower than the current temperature of the energy storage battery, increasing the operating frequency of the compressor by a third frequency; When the historical temperature of the energy storage battery before the preset time is not less than the current temperature of the energy storage battery, the current operating frequency of the compressor is maintained.

11. The method according to any one of claims 1 to 4, wherein: Adjusting the operating frequency of the compressor includes: When the energy storage battery is in a low heating state and a fast charging state, if the current value of the heat load parameter is greater than the predicted value, increasing the operating frequency of the compressor by a fourth frequency; If the current value of the heat load parameter is not greater than the predicted value, the current operating frequency of the compressor is maintained.

12. The method according to claim 9, wherein: Adjusting the operating frequency of the compressor also includes: After the operating frequency of the compressor is increased by a fourth frequency, detecting the remaining power of the energy storage battery at every preset time; When the difference between the power storage limit value of the energy storage battery and the remaining power storage amount of the energy storage battery is greater than a preset value, increasing the operating frequency of the compressor by a fourth frequency; When the difference between the power storage limit value of the energy storage battery and the remaining power storage amount of the energy storage battery is not greater than a preset value, the current operating frequency of the compressor is maintained.

13. The method according to any one of claims 1 to 4, wherein: Adjusting the operating frequency of the compressor includes: When the energy storage battery is in a low heating state and a slow charging state, the current operating frequency of the compressor is maintained.

14. A device for controlling a compressor, comprising: Memory; and a processor coupled to the memory, wherein the processor is configured to execute the method for controlling a compressor according to any one of claims 1 to 13 based on instructions stored in the memory.

15. A device for controlling a compressor, comprising: A module for executing the method for controlling a compressor according to any one of claims 1 to 13.

16. An energy storage air conditioning system, comprising: Energy storage batteries and cooling devices; An air conditioning unit, including a compressor, that delivers cold water to the cooling device of the energy storage battery; The device for controlling a compressor is configured to execute the method for controlling a compressor according to any one of claims 1-13.

17. A computer-readable storage medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, implement the steps of the method for controlling a compressor according to any one of claims 1 to 13.

18. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the steps of the method for controlling a compressor according to any one of claims 1 to 13 are implemented.

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