Method and apparatus for controlling a compressor and an energy storage air conditioning system

Abstract

The present disclosure provides a method and device for controlling a compressor and an energy storage air conditioning system, and relates to the field of energy storage air conditioning. The method comprises: an air conditioning unit in which the compressor is located delivering cold water to a cooling device of an energy storage battery, determining a state of the energy storage battery; determining a predicted value of a thermal load parameter of the compressor; and adjusting a working frequency of the compressor according to the state of the energy storage battery and difference information between a current value and the predicted value of the thermal load parameter. By predicting the future thermal load 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] This disclosure relates to the field of energy storage air conditioning, and particularly to a method and apparatus for controlling a compressor and an energy storage air conditioning system. Background Technology

[0002] In an energy storage air conditioning system, the air conditioning unit delivers chilled 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, energy storage air conditioning systems monitor 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 degree of lag, large fluctuations in heat load, and poor system stability. Summary of the Invention

[0005] In this embodiment of the present disclosure, during the process of the air conditioning unit where the compressor is located supplying chilled water to the cooling device of the energy storage battery, the future heat load of the compressor can be predicted. Combined with the heat generation and energy storage status of the energy storage battery as characterized by its state, the operating frequency of the compressor is adjusted in advance. Compared with the mechanism of adjusting the compressor based on real-time monitoring data, the pre-adjustment mechanism can smooth heat load changes, reduce heat load fluctuations, and thus improve system stability.

[0006] This disclosure provides a method for controlling a compressor, wherein an air conditioning unit containing the compressor supplies chilled water to a cooling device for an energy storage battery. The method includes: determining the state of the energy storage battery; determining a predicted value of the compressor's heat load parameters; and adjusting the compressor's operating frequency based on the state of the energy storage battery and the difference between the current and predicted values ​​of the heat load parameters.

[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 a preset charging rate, the energy storage battery is determined to be in a high-heat state and a rapid energy storage 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 a preset charging rate, the energy storage battery is determined to be in a high-heat state and a slow energy storage state; when the current temperature of the energy storage battery is not greater than a preset temperature and the current charging rate of the energy storage battery is greater than a preset charging rate, the energy storage battery is determined to be in a low-heat state and a rapid energy storage state; when the current temperature of the energy storage battery is not greater than a preset temperature and the current charging rate of the energy storage battery is not greater than a preset charging rate, the energy storage battery is determined to be in a low-heat state and a slow energy storage state.

[0008] In some embodiments, determining the predicted values ​​of the compressor's heat load parameters includes: processing the input heat load parameter impact data using a prediction model and outputting the predicted values ​​of the heat load parameters.

[0009] In some embodiments, the heat load parameters include at least one of the following: the return liquid temperature of the cooling device of the energy storage battery and the heat generation power of the energy storage battery; in some embodiments, the influence data of the heat load parameters include at least one of the following: the charge / discharge state of the energy storage battery, the temperature of the energy storage battery, the ambient temperature, the supply liquid temperature of the cooling device of the energy storage battery, and the supply liquid 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-heat state and a rapid energy storage state, if the current value of the heat load parameter is greater than the predicted value, increasing the operating frequency of the compressor to a first frequency.

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

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

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

[0015] In some embodiments, adjusting the operating frequency of the compressor further includes: detecting the current temperature of the energy storage battery at preset intervals after increasing the operating frequency of the compressor to a third frequency; increasing the operating frequency of the compressor to a third frequency if the historical temperature of the energy storage battery before the preset time is lower than the current temperature of the energy storage battery; and maintaining the current operating frequency of the compressor if the historical temperature of the energy storage battery before the preset time is not lower than the current temperature of the energy storage battery.

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

[0017] In some embodiments, adjusting the compressor's operating frequency further includes: detecting the remaining charge of the energy storage battery at preset intervals after increasing the compressor's operating frequency to a fourth frequency; increasing the compressor's operating frequency to a fourth frequency if the difference between the energy storage battery's charge limit value and the remaining charge of the energy storage battery is greater than a preset value; and maintaining the compressor's current operating frequency if the difference between the energy storage battery's charge limit value and the remaining charge of the energy storage battery is not greater than a preset value.

[0018] In some embodiments, adjusting the compressor's operating frequency includes maintaining the compressor's current operating frequency when the energy storage battery is in a low-heat state and a slow-energy-storage state.

[0019] Some embodiments of this disclosure provide an apparatus for controlling a compressor, comprising: a memory; and a processor coupled to the memory, the processor being configured to perform a method of controlling the compressor based on instructions stored in the memory.

[0020] Some embodiments of this disclosure provide an apparatus for controlling a compressor, including: a module for performing a method of controlling the compressor.

[0021] This disclosure provides an energy storage air conditioning system in some embodiments, including: an energy storage battery and its cooling device; an air conditioning unit for supplying chilled water to the cooling device of the energy storage battery, including a compressor; and means for controlling the compressor, configured to perform a method of controlling the compressor.

[0022] Some embodiments of this disclosure provide a computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, implement the steps of a method for controlling a compressor.

[0023] Some embodiments of this disclosure provide a computer program product including a computer program that, when executed by a processor, implements the steps of a method for controlling a compressor. Attached Figure Description

[0024] The accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. This disclosure can be more clearly understood from the following detailed description with reference to the accompanying drawings.

[0025] Obviously, the accompanying drawings described below are merely some embodiments of this disclosure. Those skilled in the art can obtain other drawings based on these drawings without any creative effort.

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

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

[0028] Figure 3 A schematic flowchart illustrating the process of adjusting the operating frequency of a compressor according to some embodiments of this disclosure is shown.

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

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

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

[0032] Those skilled in the art will understand that the terms "first," "second," etc., in the embodiments of this disclosure are only used to distinguish different steps, devices, or modules, and do not represent any specific technical meaning, nor do they indicate a necessary logical order between them.

[0033] It should also be understood that in the embodiments disclosed herein, "a plurality of" may refer to two or more, and "at least one" may refer to one, two or more.

[0034] It should also be understood that any component, data or structure mentioned in the embodiments of this disclosure can generally be understood as one or more unless expressly defined or given to the contrary in the context.

[0035] Furthermore, the term "and / or" in this disclosure is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this disclosure generally indicates that the preceding and following related objects have an "or" relationship.

[0036] It should also be understood that the description of the various embodiments in this disclosure emphasizes the differences between the various embodiments, and the similarities or similarities can be referred to each other. For the sake of brevity, they will not be described in detail.

[0037] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0038] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this disclosure or its application or use.

[0039] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

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

[0041] Furthermore, to avoid obscuring this disclosure with unnecessary detail, only processing steps and / or apparatus structures closely related to at least the solutions according to this disclosure are shown in the accompanying drawings, while other details not closely related to this 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 need not be discussed again in subsequent drawings.

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

[0043] Figure 1 Schematic diagrams of energy storage air conditioning systems according to some embodiments of this disclosure are shown. Figure 1As shown, the energy storage air conditioning system of this embodiment includes: an energy storage battery 110 and its cooling device 120, several air conditioning units 130 that supply chilled water to the cooling device 120 of the energy storage battery 110, and a device (hereinafter referred to as "control device") 140 for controlling the compressor in the air conditioning unit 130. The air conditioning unit 130 supplies chilled water to the cooling device 120 of the energy storage battery 110 to cool 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 chilled water flowing out from the liquid supply pipe of the air conditioning unit 130 flows into the cooling device 120 through the liquid supply main pipe, cools the heat generated by the energy storage battery 110, and then flows out from the liquid return main pipe of the cooling device 120, enters the air conditioning unit 130 through the liquid return pipe of the air conditioning unit 130, completing one cycle.

[0044] The following describes the various components of an energy storage air conditioning system.

[0045] The energy storage battery 110 refers to a type of battery used to store electrical energy, which can be used to meet the needs of energy storage, peak shaving and valley filling, and backup power. 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 given.

[0046] An air conditioning unit 130 is a device that uses a specific refrigerant and a compressor 131 to produce chilled water or chilled air to regulate temperature, humidity, ventilation, and air quality. The air conditioning unit 130 includes components such as a compressor 131, a condenser 132 and its fan 133, an evaporator 134, a liquid receiver 135, a water pump 136, and a throttling valve 137. The compressor 131 is the power core of the refrigeration system. It compresses the low-temperature, low-pressure refrigerant vapor, increasing its temperature and pressure, allowing the refrigerant to circulate, and achieving a cooling effect through heat-work conversion. The condenser 132 is an important component of the refrigeration system. Its main function is to dissipate heat and cool the high-temperature, high-pressure refrigerant vapor discharged from the compressor 131, causing it to condense into a liquid, high-pressure refrigerant. The condenser 132 is a heat exchanger that dissipates the heat absorbed by the refrigerant into the atmosphere. The condenser 132 is usually equipped with a fan 133 to accelerate airflow and improve its heat dissipation efficiency. The evaporator 134 utilizes the ease with which liquid low-temperature refrigerant evaporates under low pressure, transforming into vapor and absorbing heat from the cooled medium to achieve refrigeration. The receiver 135 primarily stores the high-pressure liquid from the condenser 132, preventing it from submerging the condenser 132 surface. Simultaneously, it allows the heat transfer area of ​​the condenser 132 to be fully utilized and regulates and stabilizes the refrigerant circulation to adapt to changing operating conditions. Furthermore, the receiver 135 acts as a liquid seal, preventing high-pressure refrigerant gas from leaking into the low-pressure system piping. In the air conditioning system, the water pump 136 typically drives the circulation of chilled water or cooling water within the system. This helps remove heat from the room and dissipate it into the atmosphere through the condenser 132. The expansion valve 137 acts as a throttling and pressure-reducing valve in the refrigeration system, reducing the pressure of the high-pressure liquid refrigerant at the outlet of the condenser 132 to low-pressure liquid refrigerant, which is then sent to the evaporator 134 for evaporation and heat absorption. The various components of the air conditioning unit work together to achieve the functions of cooling or heating.

[0047] The compressor control device (control device) 140 is configured to execute the compressor control method proposed in the embodiments of this disclosure. During the process of the air conditioning unit containing the compressor supplying chilled water to the cooling device of the energy storage battery, this compressor control method pre-adjusts the compressor's operating frequency by predicting the future heat load of the compressor and combining this with the heat generation and energy storage status of the energy storage battery as characterized by its state. Compared to a mechanism that adjusts the compressor based on real-time monitoring data, this pre-adjustment mechanism can smooth heat load changes, reduce heat load fluctuations, and thus improve system stability. The compressor control method will be described in detail later.

[0048] Figure 2 A flowchart illustrating a method for controlling a compressor according to some embodiments of this disclosure is shown. This method is performed, for example, by a device (control device) that controls the compressor. Figure 2 As shown, the method for controlling the compressor in this embodiment includes the following steps.

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

[0050] The state of an energy storage battery is used to characterize its heat generation and energy storage capabilities. Examples of energy storage battery states include: high heat generation and rapid energy storage, high heat generation and slow energy storage, low heat generation and rapid energy storage, and low heat generation and slow energy storage, among others. However, these are not limited to the examples given.

[0051] Specifically, the heat generation of the energy storage battery is determined by comparing its current temperature with a preset temperature; the energy storage capacity is determined by comparing its current charging rate with a preset charging rate. The preset temperature and preset charging rate can be set according to the characteristics of the energy storage battery and control requirements. For example, the preset temperature could be 60-80 degrees Celsius, and the preset charging rate could be 0.1 coulombs per second, but these examples are not exhaustive.

[0052] In some embodiments, if 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, the energy storage battery is determined to be in a high-heat state and a rapid energy storage state; if 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 a preset charging rate, the energy storage battery is determined to be in a high-heat state and a slow energy storage state; if the current temperature of the energy storage battery is not greater than a preset temperature and the current charging rate of the energy storage battery is greater than a preset charging rate, the energy storage battery is determined to be in a low-heat state and a rapid energy storage state; if the current temperature of the energy storage battery is not greater than a preset temperature and the current charging rate of the energy storage battery is not greater than a preset charging rate, the energy storage battery is determined to be in a low-heat state and a slow energy storage state.

[0053] Generally, energy storage batteries release more heat during rapid charging than during slow charging, and more heat during high-heat conditions than during low-heat conditions. By analyzing the battery's state, which reflects its heating and charging capabilities, we can make a preliminary assessment of the approximate amount of heat it might release, laying the foundation for accurately controlling the compressor's operating frequency.

[0054] In step 220, the predicted values ​​of the compressor's heat load parameters are determined, thereby predicting the future heat load of the compressor.

[0055] In some embodiments, a predictive model is used to process the impact data of the input heat load parameters and output predicted values ​​of the heat load parameters. Thus, based on historical data affecting the heat load parameters, the future heat load of the compressor can be accurately predicted, laying the foundation for pre-adjusting the compressor's operating frequency.

[0056] Among them, the heat load parameter is used to characterize the heat load (or thermal load) generated by cooling the energy storage battery, that is, the heat load of the compressor. However, it is very difficult to directly and accurately calculate the heat generated by cooling the energy storage battery in practice. The embodiments of this disclosure select heat load parameters that can both characterize the heat generated by cooling the energy storage battery and are 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 heating power of the energy storage battery. The selection process of the return liquid temperature is analyzed below.

[0057] According to the thermodynamic heat formula, the cooling capacity of an energy storage air conditioner 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, and c and m are essentially constants. The internal supply temperature of the coolant in the energy storage air conditioner (t) 供液 The temperature is generally constant (e.g., 20°C). Therefore, the heat (Q) generated by cooling the energy storage battery and the return temperature (t) are related. 回液 The relationship is linear. Therefore, the return liquid temperature is chosen as the heat load parameter.

[0060] The heat generated by cooling the energy storage battery is related to the battery's charge / discharge state, battery temperature, ambient temperature, and the liquid supply temperature and liquid supply setting temperature of the cooling device. Therefore, at least one of these factors should be selected as the influence data for the heat load parameter to accurately predict the future heat load of the compressor.

[0061] Predictive models include, for example, linear regression or convolutional neural network (CNN) models. A linear regression model is a statistical method used to predict numerical data. It assumes a linear relationship between the target variable (the variable to be predicted) and one or more feature variables (the independent variables used for prediction). The goal of linear regression is to find an optimal linear equation that minimizes the difference (error) between the predicted and actual values. If the heat load parameter and its influence data (such as battery temperature, ambient temperature, etc.) are approximately linearly related, a linear regression model can be chosen to balance prediction efficiency and accuracy. If the heat load parameter and its influence data have more complex relationships beyond linearity, or if these relationships are difficult to determine, a convolutional neural network (CNN) model can be chosen to improve prediction accuracy. During prediction, the influence data of the selected heat load parameter are input into the prediction model, which then predicts the output value of the heat load parameter.

[0062] In step 230, the operating frequency of the compressor is adjusted based on the state of the energy storage battery and the difference between the current and predicted values ​​of the heat load parameters.

[0063] This embodiment predicts the future heat load of the compressor and, in conjunction with the state of the energy storage battery, pre-adjusts the compressor's operating frequency to smooth heat load changes and improve system stability.

[0064] The following is combined Figure 3 Describe the process of adjusting the compressor's operating frequency. For example... Figure 3 As shown, adjusting the compressor's operating frequency includes the following steps.

[0065] In step 310, heat load prediction control is initiated when, for example, the supply temperature of the cooling device is greater than the set temperature, but this condition may not apply.

[0066] Then, based on the state of the energy storage battery and the difference between the current and predicted values ​​of the heat load parameters, the operating frequency of the compressor is adjusted. This process is described in detail below. Specifically, when the energy storage battery is in a high-heat state and a rapid energy storage state, it is in a state of relatively high heat generation, and step 320 is executed; when the energy storage battery is in a high-heat state and a slow energy storage state, it is in a state of moderate heat generation, and step 330 is executed; when the energy storage battery is in a low-heat state and a rapid energy storage state, it is in a state of moderate heat generation, and step 340 is executed; when the energy storage battery is in a low-heat state and a slow energy storage state, it is in a state of relatively low heat generation, and step 350 is executed.

[0067] In step 320-1, based on 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 state and a rapid energy storage state, and then step 320-2 is executed.

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

[0069] In step 320-3, if the current value of the heat load parameter is greater than the predicted value, the compressor's operating frequency is increased by a first frequency. Since the energy storage battery is generating a significant amount of heat, and the heat load is already higher than expected, the compressor's operating frequency is increased substantially 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 compressor's operating frequency is increased to a second frequency, where the first frequency is greater than the second frequency. Since the energy storage battery is generating a significant amount of heat, the compressor's operating frequency needs to be increased to cope with the upcoming heat peak. However, since the heat load is not higher than expected, the increase in the compressor's operating frequency can be appropriately reduced to accurately match the cooling requirements of the energy storage battery. Then, step 320-5 is executed.

[0071] In step 320-5, after increasing the operating frequency of the compressor to a second frequency, the current return temperature of the cooling device of the energy storage battery is detected at preset intervals.

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

[0073] In step 320-7, if 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 indicates that the heat generation and cooling demand of the energy storage battery are still increasing after adjustment. The operating frequency of the compressor can be increased to a second frequency to further stabilize the heat generation and cooling demand of the energy storage battery.

[0074] In step 320-8, if 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 indicates 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, based on 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 state and a slow-energy-storage state, and then step 330-2 is executed.

[0076] In step 330-2, at preset time intervals, the current value and the predicted value of the heat load parameter are compared to determine whether the heat load is higher than expected. Depending on the comparison result, steps 330-3 or 330-4 are 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 state of moderate heat generation, which can maintain the current operating frequency of the compressor, thereby accurately matching 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 compressor's operating frequency is increased to a third frequency. Although the energy storage battery is at a moderate level of heat generation, the heat load is already higher than expected. Therefore, increasing the compressor's operating frequency better handles the upcoming heat generation, thereby accurately matching the cooling needs of the energy storage battery. Then, step 330-5 is executed.

[0079] The third frequency can be lower than the first frequency, so as to accurately match the cooling requirements of the energy storage battery. When the cooling requirements of the energy storage battery decrease, the operating frequency of the compressor is reduced.

[0080] In step 330-5, after increasing the operating frequency of the compressor to a third frequency, the current temperature of the energy storage battery is detected at preset intervals.

[0081] In step 330-6, the historical temperature of the energy storage battery before a 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, if the historical temperature of the energy storage battery before the preset time is lower than the current temperature of the energy storage battery, it indicates that the energy storage battery is still heating up after adjustment. The operating frequency of the compressor is increased to a third frequency to further stabilize the temperature and cooling requirements of the energy storage battery.

[0083] In step 330-8, if the historical temperature of the energy storage battery before the preset time is not lower than the current temperature of the energy storage battery, it indicates that the temperature of the energy storage battery is basically stable after adjustment, and can maintain the current operating frequency of the compressor.

[0084] In step 340-1, based on 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 state and a rapid energy storage state, and then step 340-2 is executed.

[0085] In step 340-2, at preset time intervals, the current value of the heat load parameter is compared with the predicted value to determine whether the heat load is higher than expected. Depending on the comparison result, 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 state of moderate heat generation, which can maintain the current operating frequency of the compressor, thereby accurately matching 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 compressor's operating frequency is increased to a fourth frequency. Although the energy storage battery is in a state of moderate heat generation, the heat load is already higher than expected. Therefore, increasing the compressor's operating frequency better handles the upcoming heat generation, thereby accurately matching the cooling needs of the energy storage battery. Then, step 340-5 is executed.

[0088] The fourth frequency can be lower than the third frequency, thus accurately matching the cooling requirements of the energy storage battery. When the cooling requirements of the energy storage battery decrease, the operating frequency of the compressor is reduced.

[0089] In step 340-5, after increasing the operating frequency of the compressor to a fourth frequency, the remaining charge of the energy storage battery is detected at preset intervals.

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

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

[0092] In step 340-8, if the difference between the energy storage battery's energy storage limit value and the remaining energy storage capacity of the energy storage battery is not greater than a preset value, it indicates that the energy storage battery can quickly complete charging and maintain the compressor's current operating frequency, thereby accurately matching the cooling requirements of the energy storage battery.

[0093] In step 350-1, based on 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 state and a slow-speed energy storage state, and then step 350-2 is executed.

[0094] In step 350-2, when the energy storage battery is in a low-heat state and a slow-energy storage state, it means that the energy storage battery is in a state with low heat generation, which can maintain the current operating frequency of the compressor, thereby accurately matching the cooling requirements of the energy storage battery.

[0095] In the above embodiments, the specific frequency values ​​of the first frequency, second frequency, third frequency, and fourth frequency can be set according to the characteristics of the compressor and control requirements. As indicated in the foregoing embodiments, 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, thereby accurately matching the cooling requirements of the energy storage battery. If the cooling requirements of the energy storage battery are high, the operating frequency of the compressor is high; conversely, if the cooling requirements of the energy storage battery are low, the operating frequency of the compressor is low. For example, the first frequency, second frequency, third frequency, and 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 embodiments, 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 can be set to a few minutes, but it is not limited to the examples given.

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

[0098] Figure 4 A schematic diagram of the structure of a device for controlling a compressor according to some embodiments of this disclosure is shown. For example... Figure 4 As shown, the compressor control device 400 of this embodiment includes a memory 410 and a processor 420 coupled to the memory 410. The processor 420 is configured to execute the compressor control method of various embodiments based on instructions stored in the memory 410. The method includes, for example, determining the state of an energy storage battery; determining a predicted value of the compressor's heat load parameters; and adjusting the compressor's operating frequency based on the state of the energy storage battery and the difference between the current value and the predicted value of the heat load parameters. Specific implementation details can be found in the foregoing embodiments and will not be repeated here.

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

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

[0101] The processor 420 can be implemented using 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] The input / output interface 430 provides a connection interface for input / output devices such as monitors, mice, keyboards, and touchscreens. 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 architecture from various bus structures. For example, bus architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, and Peripheral Component Interconnect (PCI) bus.

[0103] Figure 5 A schematic diagram of the structure of a device for controlling a compressor according to some embodiments of this disclosure is shown. For example... Figure 5 As shown, the device 500 for controlling the compressor in 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 the predicted values ​​of the compressor's heat load parameters.

[0106] The adjustment module 530 is configured to adjust the operating frequency of the compressor based on the state of the energy storage battery and the difference between the current and predicted values ​​of the heat load parameters.

[0107] This embodiment predicts the future heat load of the compressor and, in conjunction with the state of the energy storage battery, pre-adjusts the compressor's operating frequency to smooth heat load changes and improve 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-heat 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; to determine that the energy storage battery is in a high-heat 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 a preset charging rate; to determine that the energy storage battery is in a low-heat state and a fast-charging state when the current temperature of the energy storage battery is not greater than a preset temperature and the current charging rate of the energy storage battery is greater than a preset charging rate; and to determine that the energy storage battery is in a low-heat state and a slow-charging state when the current temperature of the energy storage battery is not greater than a preset temperature and the current charging rate of the energy storage battery is not greater than a preset charging rate.

[0109] By assessing the state of the energy storage battery, we can make a preliminary judgment on the approximate amount of heat that the 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 impact data of the input heat load parameters using a predictive model and output predicted values ​​of the heat load parameters. Thus, based on historical data, the future heat load of the compressor can be accurately predicted, laying the foundation for pre-adjusting the compressor's operating frequency.

[0111] The heat load parameters include at least one of the following: the return liquid temperature of the cooling device of the energy storage battery and the heating power of the energy storage battery. These parameters characterize the heat generated by cooling the energy storage battery and are easy to calculate accurately. And / or, the influence data of the heat load parameters include at least one of the following: the charge / discharge state of the energy storage battery, the energy storage battery temperature, the ambient temperature, the supply liquid temperature of the cooling device of the energy storage battery, and the supply liquid setting temperature. This data is used 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 parameters and the influence data of the selected heat load parameters (such as the energy storage battery temperature and ambient temperature) have a roughly linear relationship, a linear regression prediction model can be selected for prediction, balancing prediction efficiency and accuracy. If the heat load parameters and the influence data of the selected heat load parameters have a more complex relationship beyond a linear one, or if these relationships are difficult to determine, a convolutional neural network prediction model can be selected to improve prediction accuracy.

[0112] In some embodiments, the regulating module 530 is configured to increase the compressor's operating frequency by a first frequency if the current value of the heat load parameter is greater than the predicted value when the energy storage battery is in a high-heat and rapid-energy-storage state. Since the energy storage battery is in a state of high heat generation and the heat load is already higher than expected, the compressor's operating frequency is increased significantly to better cope with the upcoming heat generation peak.

[0113] In some embodiments, the regulating module 530 is configured to increase the compressor's operating frequency to a second frequency, where the first frequency is greater than the second frequency, if the current value of the heat load parameter is not greater than the predicted value. Since the energy storage battery is in a state of high heat generation, increasing the compressor's operating frequency is necessary to cope with the upcoming heat peak. However, if the heat load is not higher than expected, the increase in the compressor's operating frequency can be appropriately reduced 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 temperature of the cooling device of the energy storage battery at preset intervals after increasing the operating frequency of the compressor to a second frequency; if the current return temperature of the cooling device of the energy storage battery is greater than the historical return temperature of the cooling device of the energy storage battery before the preset time, it indicates that the heat generation and cooling demand of the energy storage battery are still increasing after adjustment, and the operating frequency of the compressor can be increased to a second frequency to further stabilize the heat generation and cooling demand of the energy storage battery; if the current return temperature of the cooling device of the energy storage battery is not greater than the historical return temperature of the cooling device of the energy storage battery before the preset time, it indicates 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.

[0115] In some embodiments, the regulating module 530 is configured to increase the compressor's operating frequency to a third frequency if the current value of the heat load parameter is greater than the predicted value when the energy storage battery is in a high-heat state and a slow-energy-storage state. Even though the energy storage battery is at a moderate heat generation level, the heat load is already higher than expected; therefore, increasing the compressor's operating frequency better handles the upcoming heat generation, 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 at a moderate heat generation level, the compressor's current operating frequency 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 every preset time interval after increasing the operating frequency of the compressor to a third frequency; if the historical temperature of the energy storage battery before the preset time is lower than the current temperature of the energy storage battery, it indicates that the energy storage battery is still heating up after adjustment, and the operating frequency of the compressor is increased to a third frequency to further stabilize the temperature and cooling requirements of the energy storage battery; if the historical temperature of the energy storage battery before the preset time is not lower than the current temperature of the energy storage battery, it indicates that the temperature of the energy storage battery is basically stable after adjustment and can maintain the current operating frequency of the compressor.

[0117] In some embodiments, the regulating module 530 is configured to increase the compressor's operating frequency to a fourth frequency if the current value of the heat load parameter is greater than the predicted value when the energy storage battery is in a low-heat state and a rapid energy storage state. Even though the energy storage battery is in a state of moderate heat generation, the heat load is already higher than expected; therefore, increasing the compressor's operating frequency better handles the upcoming heat generation, 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, it indicates that the heat load is not higher than expected, and the energy storage battery is in a state of moderate heat generation; in this case, the compressor's current operating frequency 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 charge of the energy storage battery every preset time interval after increasing the operating frequency of the compressor to a fourth frequency; if the difference between the energy storage battery's charge limit value and the remaining charge of the energy storage battery is greater than a preset value, it indicates that the energy storage battery still needs a longer charging time, and the operating frequency of the compressor can be increased to a fourth frequency to meet the future continuous cooling needs of the energy storage battery; if the difference between the energy storage battery's charge limit value and the remaining charge of the energy storage battery is not greater than the preset value, it indicates 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 needs of the energy storage battery.

[0119] In some embodiments, the regulating module 530 is configured to indicate that the energy storage battery is in a low-heat state and a slow-energy storage state, which can maintain the current operating frequency of the compressor and thus accurately match the cooling requirements of the energy storage battery.

[0120] By predicting the future heat load of the compressor and combining it with the different states of the energy storage battery, the operating frequency of the compressor is pre-adjusted with different adjustment ranges. This can smooth heat load changes under different operating conditions, improve system stability, and the compressor pre-adjustment mechanism can also help reduce the jump amplitude of the compressor's operating frequency and extend its service life.

[0121] Those skilled in the art will understand that embodiments of this disclosure can be provided as methods, systems, or computer program products. Therefore, this disclosure can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this disclosure can take the form of a computer program product embodied on one or more (non-transitory) 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 primarily implements its solution through a computer program.

[0122] This disclosure is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0123] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0124] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

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

Claims

1. A method for controlling a compressor, wherein, The air conditioning unit containing the compressor supplies chilled water to the cooling device of the energy storage battery, and the method includes: Determine the state of the energy storage battery. The states of the energy storage battery include: high heat generation state and rapid energy storage state, high heat generation state and slow energy storage state, low heat generation state and rapid energy storage state, and low heat generation state and slow energy storage state. Determine the predicted values ​​of the compressor's heat load parameters; Based on the status of the energy storage battery and the difference between the current and predicted values ​​of the heat load parameters, the operating frequency of the compressor is adjusted, including: When the energy storage battery is in a high-heat state and a slow-energy storage state, if the current value of the heat load parameter is greater than the predicted value, the compressor's operating frequency will be increased to a third frequency; if the current value of the heat load parameter is not greater than the predicted value, the compressor's current operating frequency will be maintained. or, When the energy storage battery is in a low-heating state and a rapid energy storage state, if the current value of the heat load parameter is greater than the predicted value, the compressor's operating frequency will be increased to a fourth frequency; if the current value of the heat load parameter is not greater than the predicted value, the compressor's current operating frequency will be maintained.

2. The method according to claim 1, wherein, Determining the state of an energy storage battery includes at least one of the following: If 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, the energy storage battery is determined to be in a high-heat state and a rapid energy storage state. If 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, the energy storage battery is determined to be in a high-heat state and a slow-speed energy storage state. If 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, the energy storage battery is determined to be in a low-heat state and a fast-energy storage state. If 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, the energy storage battery is determined to be in a low-heat state and a slow-speed energy storage state.

3. The method according to claim 1, wherein, Determining the predicted values ​​of the compressor's heat load parameters includes: The predictive model is used to process the impact data of the input heat load parameters and output the predicted values ​​of the heat load parameters.

4. The method according to claim 3, wherein, The heat load parameters include at least one of the following: the return liquid temperature of the cooling device for the energy storage battery, and the heat generation power of the energy storage battery; and / or, The data affecting the heat load parameters include at least one of the following: the charge / discharge status of the energy storage battery, the temperature of the energy storage battery, the ambient temperature, the liquid supply temperature of the cooling device for the energy storage battery, and the liquid supply setting temperature.

5. The method according to any one of claims 3-4, 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 1-4, wherein, Adjusting the compressor's operating frequency includes: When the energy storage battery is in a high-heat state and a rapid energy storage state, if the current value of the heat load parameter is greater than the predicted value, the operating frequency of the compressor will be increased by a first frequency.

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

8. The method according to claim 7, wherein, Adjusting the compressor's operating frequency also includes: After increasing the compressor's operating frequency to a second frequency, the current return temperature of the energy storage battery's cooling device is detected at preset intervals. If 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 a preset time, the operating frequency of the compressor will be increased to a second frequency. The compressor's current operating frequency is maintained provided that the current return liquid temperature of the energy storage battery's cooling device is not greater than the historical return liquid temperature of the energy storage battery's cooling device before a preset time.

9. The method according to claim 1, wherein, Adjusting the compressor's operating frequency also includes: After increasing the compressor's operating frequency to a third frequency, the current temperature of the energy storage battery is detected at preset intervals. If the historical temperature of the energy storage battery before a preset time is lower than the current temperature of the energy storage battery, the operating frequency of the compressor will be increased to a third frequency. If the historical temperature of the energy storage battery before a preset time is not lower than the current temperature of the energy storage battery, maintain the current operating frequency of the compressor.

10. The method according to claim 1, wherein, Adjusting the compressor's operating frequency also includes: After increasing the compressor's operating frequency to a fourth frequency, the remaining charge of the energy storage battery is checked at preset intervals. If the difference between the energy storage battery's energy storage limit and the remaining energy storage capacity of the energy storage battery is greater than the preset value, the compressor's operating frequency will be increased to a fourth frequency. The compressor's current operating frequency is maintained as long as the difference between the energy storage battery's energy storage limit and its remaining energy storage capacity is not greater than a preset value.

11. The method according to any one of claims 1-4, wherein, Adjusting the compressor's operating frequency includes: Maintain the compressor's current operating frequency when the energy storage battery is in a low-heat state and slow-energy storage state.

12. A device for controlling a compressor, comprising: Memory; And a processor coupled to the memory, the processor being configured to perform the method of controlling the compressor according to any one of claims 1-11 based on instructions stored in the memory.

13. A device for controlling a compressor, comprising: A module for performing the method of controlling the compressor as described in any one of claims 1-11.

14. An energy storage air conditioning system, comprising: Energy storage batteries and their cooling devices; An air conditioning unit, including a compressor, supplies chilled water to the cooling system of an energy storage battery. The apparatus for controlling the compressor is configured to perform the method for controlling the compressor as described in any one of claims 1-11.

15. A computer-readable storage medium having stored thereon computer instructions that, when executed by a processor, implement the steps of the method for controlling a compressor as described in any one of claims 1-11.

16. A computer program product comprising a computer program that, when executed by a processor, implements the steps of the method for controlling a compressor as described in any one of claims 1-11.

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