Cooling control method, electronic device, and energy storage device

Abstract

The application provides a cooling control method, an electronic device and an energy storage device. The method can include: determining a current operating load of a target energy storage system based on an operating state of the target energy storage system; determining a conversion coefficient according to the current operating load and a rated operating load; the rated operating load is a value determined based on the target energy storage system; adjusting operating data of a cooling system of the target energy storage system according to the conversion coefficient; and the cooling system operates with the operating data. Through the above implementation, the cooling demand under different working conditions can be better adapted.

Description

Technical Field

[0001] This application relates to the field of cooling control technology, and more specifically, to a cooling control method, electronic equipment, and energy storage device. Background Technology

[0002] Currently, cooling methods for energy storage systems are typically implemented based on rated operating parameters. However, the actual cooling requirements of different energy storage systems are not constant, meaning that cooling based on rated operating parameters cannot meet the cooling needs of the energy storage system. Summary of the Invention

[0003] The purpose of this application is to provide a cooling control method, electronic equipment, and energy storage device that can better adapt to cooling requirements under different operating conditions.

[0004] In a first aspect, the present invention provides a cooling control method, comprising: determining the current operating load of the target energy storage system based on the operating state of the target energy storage system; determining a transformation coefficient based on the current operating load and the rated operating load; wherein the rated operating load is a value determined based on the target energy storage system; and adjusting the operating data of the cooling system of the target energy storage system according to the transformation coefficient; wherein the cooling system operates based on the operating data.

[0005] In the above implementation, the actual operating load of the energy storage system can be determined. Then, based on this actual operating load, the operating data of the cooling system can be determined. Operating the cooling system based on this determined operating data allows it to better meet the actual cooling needs of the energy storage system. This reduces energy consumption while still meeting the cooling requirements of the energy storage system, achieving a balance between reducing energy consumption and ensuring safe operation of the energy storage system. Furthermore, a rated operating load can be pre-set, and the actual required operating data can be calculated based on this rated load, simplifying the calculation logic for the required operating data of the cooling system.

[0006] In an optional implementation, the operating data includes the flow rate of the cooling medium in the cooling system; adjusting the operating data of the cooling system of the target energy storage system according to the transformation coefficient includes adjusting the flow rate of the cooling medium in the cooling system according to the transformation coefficient.

[0007] In an optional implementation, adjusting the flow rate of the cooling medium in the cooling system according to the transformation coefficient includes: calculating the adjusted flow rate of the cooling medium based on the transformation coefficient and the rated flow rate; wherein the rated flow rate is a value determined based on the target energy storage system, and the rated flow rate is the flow rate of the cooling medium in the cooling system under the rated operating load.

[0008] In the above implementation, the required cooling medium flow rate can be calculated based on the rated flow rate. Having a reference rated flow rate simplifies the logic for calculating the required cooling medium flow rate, reducing computational complexity and computational resource consumption. Furthermore, adjusting the cooling medium flow rate based on the rated flow rate determined by the target energy storage system ensures that the determined flow rate is more suitable for the cooling needs of the target energy storage system, and more closely matches its current cooling requirements.

[0009] In an optional implementation, determining the current operating load of the target energy storage system based on its operating status includes: determining the current operating load of the target energy storage system based on its real-time current and its equivalent resistance.

[0010] In an optional implementation, determining the current operating load of the target energy storage system based on its real-time temperature and equivalent resistance includes: calculating the initial operating load of the target energy storage system based on its real-time current and equivalent resistance; calculating a correction heat based on the operating parameters of the target energy storage system and the cooling system; and correcting the initial operating load based on the correction heat to obtain the current operating load of the target energy storage system.

[0011] In the above implementation, when calculating the current operating load, the errors caused by the energy storage system and the cooling system's own consumption can also be taken into account. Based on these errors, the calculation logic can be corrected, which can make the calculated current operating load more accurate. In other words, the operating data obtained based on the current operating load can achieve more precise cooling control, which can enable the cooling control of the cooling system to better meet the cooling needs of the target energy storage system.

[0012] In an optional implementation, calculating the corrected heat based on the operating parameters of the target energy storage system and the cooling system includes: determining the heat absorbed by the target energy storage system based on the temperature change of the target energy storage system; determining the self-consumption heat of the cooling system based on the outlet water temperature of the cooling system; and determining the corrected heat based on the absorbed heat and the self-consumption heat.

[0013] In the above implementation method, the heat absorbed by the energy storage system and the heat removed by the cooling system can be analyzed to determine the corrected heat of the energy storage system, and the heat correction can be considered from multiple perspectives.

[0014] In an optional implementation, before determining the current operating load of the target energy storage system based on the real-time current of the target energy storage system and the equivalent resistance of the target energy storage system, the method further includes: collecting the real-time current of the target energy storage system according to a set rule; determining whether the real-time current collected at each time time meets a set condition, and whether the duration for which the real-time current meets the set condition exceeds a first duration threshold; and if the duration for which the real-time current meets the set condition exceeds the first duration threshold, then performing the step of determining the current operating load of the target energy storage system based on the real-time current of the target energy storage system and the equivalent resistance of the target energy storage system.

[0015] In the above implementation method, the duration of different current values ​​can also be identified. If the duration of the current meets the requirements, the operating data of the cooling system can be adaptively adjusted based on the current operating load. This can reduce the need to frequently adjust the operating data of the cooling system due to small fluctuations in the current value and improve the stability of the cooling system operation.

[0016] In an optional implementation, before determining the current operating load of the target energy storage system based on the real-time current of the target energy storage system and the equivalent resistance of the target energy storage system, the method further includes: collecting the real-time current of the target energy storage system according to a set rule; determining whether the real-time current collected at each time meets a set condition, and whether the duration of operation of the cooling system using the current operating data exceeds a second duration threshold; and if the real-time current meets the set condition, and the duration of operation of the cooling system using the current operating data exceeds the second duration threshold, then performing the step of determining the current operating load of the target energy storage system based on the real-time current of the target energy storage system and the equivalent resistance of the target energy storage system.

[0017] In the above implementation method, the duration of the cooling system's operation based on the current operating data can also be identified. If the operating time meets the requirements, the operating data of the cooling system can be adaptively adjusted based on the current operating load. This can reduce the need for frequent adjustments to the cooling system's operating data and improve the stability of the cooling system's operation.

[0018] In an optional implementation, determining the transformation coefficient based on the current operating load and the rated operating load includes: calculating the ratio of the current operating load to the rated operating load and using it as the transformation coefficient.

[0019] In an optional implementation, the method further includes: when the target energy storage system is connected to an external load and the target energy storage system is not in operation, controlling the cooling system to operate at a set specified operating power; wherein the specified operating power is less than the operating power of the cooling system when the target energy storage system is in operation.

[0020] In an optional implementation, the method further includes: when the target energy storage system is connected to an external load and the target energy storage system is not in operation, controlling the cooling system to operate alternately for a first specified duration and stopping for a second specified duration.

[0021] In the above implementation method, even when the energy storage system is not running but is connected to an external load, it can still be cooled by a small amount of cooling, which can better maintain the temperature stability of the energy storage system.

[0022] In an optional implementation, the cooling system is controlled to stop operating when the target energy storage system is disconnected from the external load.

[0023] In the above implementation, when the energy storage system is not running but is connected to an external load, the energy storage system will not generate heat. In this case, the cooling system can be stopped to reduce the energy consumption of the cooling system.

[0024] In a second aspect, the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the machine-readable instructions are executed by the processor to perform the steps of the method described in any of the foregoing embodiments.

[0025] Thirdly, the present invention provides an energy storage device, comprising: an energy storage system and a cooling system; wherein the cooling system performs thermal management of the energy storage system using the method described in any one of the foregoing embodiments.

[0026] In an optional embodiment, the cooling system includes an internal cooling system and an external cooling system; when the energy storage system is operating, the internal cooling system and the external cooling system are controlled by the method described above to perform thermal management of the energy storage system; when the energy storage system is energized and not operating, the internal cooling system and the external cooling system are controlled by the method described above to perform thermal management of the energy storage system. Attached Figure Description

[0027] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 A block diagram of an energy storage device provided in an embodiment of this application;

[0029] Figure 2 A flowchart of the cooling control method provided in the embodiments of this application;

[0030] Figure 3 Another flowchart of the cooling control method provided in the embodiments of this application;

[0031] Figure 4 Another flowchart illustrating the cooling control method provided in the embodiments of this application;

[0032] Figure 5 A flowchart illustrating the entire process of the cooling control method provided in this application embodiment.

[0033] Icons: 110 - Energy storage system; 120 - Cooling system; 121 - Internal cooling system; 122 - External cooling system; 123 - Deionization module. Detailed Implementation

[0034] The technical solutions in the embodiments of this application will now be described with reference to the accompanying drawings.

[0035] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0036] Currently, cooling of energy storage systems typically relies on external cooling systems. The operating logic of these systems is generally as follows: operating parameters are set, and the system operates according to these parameters to cool the energy storage system. This cooling method is generally sufficient to meet the cooling requirements of low-voltage energy storage systems.

[0037] However, with the development of energy storage technology, a new type of high-voltage direct-connected energy storage technology has emerged. This technology integrates a voltage source converter (VSC) valve with a DC energy storage valve, offering advantages such as high modularity, good economic efficiency, and high operational reliability. The high-voltage direct-connected energy storage valve consists of multiple energy storage sub-modules, which are composed of power module units and battery cabinet units. During operation, the power module and battery cabinet units generate heat, resulting in even more heat generation. Traditional cooling systems cannot meet the cooling requirements of the high-voltage direct-connected energy storage valve. Furthermore, to ensure a stable power supply, the operating curve of the high-voltage direct-connected energy storage valve needs to be matched with the photovoltaic and wind power generation curves. Since the high-voltage direct-connected energy storage valve operates at low power at night, or may not even need to operate at night, its operating curve fluctuates. If the cooling system were to operate continuously according to the design parameters under rated conditions, it would result in significant power consumption for the water-cooled system.

[0038] Therefore, a more reliable operating mode for the cooling system is needed to remove the heat generated by the high-pressure direct-connected energy storage valve. Based on the above research, embodiments of this application can provide a cooling control method, electronic equipment, and energy storage device that can achieve cooling more flexibly. The cooling control method, electronic equipment, and energy storage device of this application are described below with reference to some embodiments.

[0039] This application provides an energy storage device, which may include an energy storage system 110 and a cooling system 120.

[0040] The cooling system 120 can perform thermal management on the energy storage system 110. The cooling system 120 can adaptively provide thermal management based on the actual operating state of the target energy storage system 110.

[0041] In this embodiment, the cooling system 120 may include an internal cooling system 121 and an external cooling system 122.

[0042] When a significant amount of cooling is required, the internal cooling system 121 and the external cooling system 122 can be used together to cool the energy storage system 110. When a smaller amount of cooling is required, only the user's internal cooling system 121 can provide cooling services for the energy storage system 110.

[0043] For example, when the energy storage system 110 is working normally, the energy storage system 110 has a large cooling requirement; when the energy storage system 110 is not working, or is working at a low power, the energy storage system 110 has a small cooling requirement.

[0044] When the energy storage system 110 is working normally, it can be cooled by the combination of the internal cooling system 121 and the external cooling system 122. When the energy storage system 110 is not working or is working at a low power, only the user's internal cooling system 121 can provide cooling services for the energy storage system 110.

[0045] In this embodiment, the internal cooling system 121 may include a main pump, which can provide power for the circulation of the cooling medium and drive the cooling medium to flow. The cooling medium can flow through the energy storage system 110 and can carry away the heat generated by the operation of the energy storage system 110.

[0046] For example, the main pump may include a frequency converter and a rotating component. Upon receiving a cooling control command, the frequency converter can adjust the rotational speed of the rotating component, thereby achieving operation at different frequencies.

[0047] The external cooling system 122 can cool the cooling medium when its temperature rises and release the heat to the external environment. For example, the external cooling system 122 can be a component that can cool the cooling medium, such as a refrigeration unit or an air cooler. The external cooling system 122 can operate at different frequencies to cool the cooling medium.

[0048] Considering that the cooling medium in the cooling system 120 contains a large number of ions, such as calcium and magnesium ions, these ions may form scale on the surfaces of the equipment through which the cooling medium passes during circulation due to temperature changes and water evaporation. Scale has relatively poor thermal conductivity, and if numerous water channels form on the surfaces of the equipment in the cooling system 120, it may significantly reduce the heat exchange efficiency of the cooling equipment. Therefore, the internal cooling system 121 can also be equipped with a deionization module 123. This deionization module 123 can be used to treat the cooling medium to remove ions present in it. Under the action of the deionization module 123, the conductivity of the cooling medium can be reduced to ensure that the conductivity of the cooling medium meets operational requirements.

[0049] In this embodiment, the internal cooling system 121 may also be connected to a liquid storage unit, which can supply cooling medium. A main pump may be connected between the liquid storage unit and the energy storage system 110, which can cause the cooling medium to flow through the energy storage system 110 to cool the energy storage system 110.

[0050] In this embodiment, the energy storage device may also be provided with a control unit. The control unit may pre-set the control logic of the cooling system 120 and control the cooling system 120 based on the control logic.

[0051] For example, the control unit may include an integrated circuit chip with signal processing capabilities. The aforementioned integrated circuit chip may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor may be a microprocessor or any conventional processor.

[0052] Depending on the specific needs, the energy storage device may include more components. For example, to facilitate viewing the operation of the energy storage system 110 and the cooling system 120 in the energy storage device, the energy storage device may also be equipped with a display unit for displaying the operating data of the energy storage system 110 and the cooling system 120.

[0053] The energy storage device in this embodiment can be used to execute various steps in the methods provided in the embodiments of this application. The implementation process of the cooling control method is described below through several embodiments.

[0054] Please see Figure 2 This is a flowchart of a cooling control method provided in an embodiment of this application. The cooling control method provided in this application can be applied to an energy storage device, through which the energy storage device executes the steps in the cooling control method. The following will describe... Figure 2 The specific process shown will be explained in detail.

[0055] Step 210: Determine the current operating load of the target energy storage system based on its operating status.

[0056] The operating status can include the current of the target energy storage system during operation, the temperature of the battery in the target energy storage system, the temperature of the cooling medium flowing through the target energy storage system, and the outlet water temperature of the cooling medium flowing out of the target energy storage system.

[0057] Step 220: Determine the transformation coefficient based on the current operating load and the rated operating load.

[0058] Calculate the ratio of the current operating load to the rated operating load and use it as the transformation coefficient.

[0059] For example, the transformation coefficient can be expressed as: k a =q a / Q a ;k a Represents the transformation coefficients; q a Indicates the current operating load; Q a This indicates the rated operating load.

[0060] The rated operating load is a value determined based on the target energy storage system. For example, this rated operating load can be a pre-set load. The operating load is determined by the target energy storage system under set operating conditions.

[0061] For example, the rated operating load can be expressed as Q. a =I 2 R+Q1. Where I represents the current of the target energy storage system under the set operating conditions; R represents the equivalent resistance of the target energy storage system; and Q1 represents the corrected heat required by the target energy storage system under the set operating conditions.

[0062] The corrected heat required by the target energy storage system under the set operating conditions can be determined based on the target energy storage system under the set operating conditions.

[0063] The required correction heat under the set operating conditions can be the heat that the water cooling system can remove and the heat that the target energy storage system can absorb under the set operating conditions.

[0064] For example, the required corrected heat under the set operating conditions can be equal to the sum of the heat that the water cooling system can remove and the heat that the target energy storage system can absorb, which can be expressed as:

[0065] Q1 = Q 热容1 +Q 水冷1 ;

[0066] Among them, Q 热容1 Q represents the amount of heat absorbed by the target energy storage system under set operating conditions. 水冷1 This indicates the heat consumed by the target energy storage system after the cooling system provides water cooling services to it under the set operating conditions.

[0067] In this embodiment, the heat absorbed by the target energy storage system under the set operating conditions can be calculated using the following formula:

[0068] Q 热容1 =C 电池 M 电池 (T1-T0);

[0069] Among them, C 电池M represents the thermal capacity of the battery in the target energy storage system. 电池 T1 represents the mass of the battery in the target energy storage system; T2 represents the temperature of the battery in the target energy storage system under the set operating conditions; T0 is the set initial state temperature.

[0070] In this embodiment, the self-consumption of heat by the target energy storage system after the cooling system provides water cooling service to it under the set operating conditions can be calculated using the following formula:

[0071] Q 水冷1 =C 水 M 水 (T2-T0);

[0072] Among them, C 水 M represents the heat capacity of the cooling medium in the cooling system. 水 T1 represents the flow rate of the cooling medium that provides cooling services to the target energy storage system; T2 represents the outlet water temperature of the cooling medium that provides cooling services to the target energy storage system; T0 is the set initial state temperature.

[0073] In this embodiment, the rated operating load may be different for different energy storage systems. For the same energy storage system, once the rated operating load is determined, this determined rated operating load can be used in the subsequent dynamic control process of the cooling system.

[0074] Step 230: Adjust the operating data of the cooling system of the target energy storage system according to the transformation coefficient.

[0075] For example, the operating data may include data such as the operating power of the equipment in the cooling system, the flow rate of the cooling medium provided by the cooling system, and the operating time of the cooling system.

[0076] The equipment in the cooling system may include the main pump of the internal cooling system 121, the refrigeration unit, the air cooler, and other equipment.

[0077] Once the operating data is determined, the cooling system can operate based on the real-time determined operating data. For example, if the determined operating data includes a runtime, the cooling system can be stopped after running for that runtime, or its operating state can be restored to the state before the adjustment.

[0078] This transformation coefficient can be used as an adjustment ratio to adjust various operating parameters of the cooling system.

[0079] Depending on the structure of the cooling system, the above operating data may include different information. When the cooling system consists only of a liquid storage tank and a main pump, the operating data may include the operating power of the main pump and the flow rate of the cooling medium output from the liquid storage tank.

[0080] by Figure 1 In the example shown, if the cooling system includes an internal cooling system and an external cooling system, the operating data can include the operating data of the internal cooling system and the operating data of the external cooling system. This operating data can include the operating power of the main pump of the internal cooling system and the operating power of the external cooling system.

[0081] In the above implementation, the cooling service provided by the cooling system can be adaptively adjusted based on the real-time operating status of the energy storage system, so that the cooling service provided by the cooling system can be better matched with the current operating conditions of the energy storage system, and thus better provide cooling services for the energy storage system.

[0082] In one embodiment, the operating data may include the flow rate of the cooling medium in the cooling system. Step 230 described above may include adjusting the flow rate of the cooling medium in the cooling system according to a transformation coefficient.

[0083] For example, the adjusted flow rate of the cooling medium can be calculated based on the transformation coefficient and the rated flow rate.

[0084] The rated flow rate is a value determined based on the target energy storage system. For example, the rated flow rate can be the flow rate of a cooling medium suitable for providing cooling services to the target energy storage system when it is operating under rated operating load conditions.

[0085] Operating data may include the rotational frequency of the main pump in the cooling system. For example, this rotational frequency can be calculated using the following formula:

[0086] v a =k a V a ;

[0087] Among them, v a k represents the flow rate of the cooling medium in the adjusted cooling system. a F represents the transformation coefficient. a This indicates the rated flow rate.

[0088] Optionally, as the energy storage and cooling systems are used, their status may change, and the rated operating load and rated flow rate can be updated at set intervals. These set intervals can be determined based on actual needs, such as a period of one month, three months, or similar durations.

[0089] For example, the flow rate of the cooling medium can be adjusted by adjusting the size of the outlet of the liquid storage section, or by adjusting the operating power of the main pump that controls the flow rate of the cooling medium in the cooling system.

[0090] For example, operating data may include the rotational frequency of the main pump of the cooling system. For example, this rotational frequency can be calculated using the following formula:

[0091] f a =k a F a ;

[0092] Among them, f a This indicates the rotational frequency of the main pump in the adjusted cooling system, k. a F represents the transformation coefficient. a Indicates the rated rotational frequency.

[0093] As energy storage and cooling systems are put into use, their status may change, and the rated operating load and rated rotation frequency can be updated at set intervals.

[0094] For example, operating data may include the power of the external cooling system of the cooling system. For example, this power can be calculated using the following formula:

[0095] p a =k a P a ;

[0096] Where, p a This indicates the power of the external cooling system after adjustment, k. a P represents the transformation coefficient. a Indicates the rated power.

[0097] As energy storage and cooling systems are put into use, their status may change, and the rated operating load and rated rotation frequency can be updated at set intervals.

[0098] The setup time may vary depending on the durability of the energy storage system. For energy storage systems with better stability, the setup time can be longer, such as one year, six months, or three months. For energy storage systems with poorer stability, the setup time can be shorter, such as one month, twenty days, or two months.

[0099] The above implementation method allows for the pre-setting of the rated flow rate of the cooling system's operating standard. Subsequent cooling services for the energy storage system are based on this set standard, and the flow rate of the cooling system is dynamically adjusted according to the change ratio with the standard. This approach enables dynamic adjustment of the cooling system's services without requiring a large amount of computation, thus reducing the demand for computing resources.

[0100] In this embodiment, the current operating load can be calculated based on real-time monitoring of the current of the target energy storage system. Step 210 above may include: determining the current operating load of the target energy storage system based on the real-time current of the target energy storage system and the equivalent resistance of the target energy storage system.

[0101] The equivalent resistance of the target energy storage system can be uniquely determined after the target energy storage system is determined.

[0102] In an alternative implementation, the current operating load can be calculated directly based on the real-time current and the equivalent resistance of the target energy storage system.

[0103] In another alternative implementation, the current operating load can be an initial value calculated directly based on the real-time current and the equivalent resistance of the target energy storage system, and then the initial value can be corrected and the corrected value can be used as the current operating load of the target energy storage system.

[0104] Step 210 above may include: calculating the initial operating load of the target energy storage system based on the real-time current of the target energy storage system and the equivalent resistance of the target energy storage system; calculating the corrected heat according to the operating parameters of the target energy storage system and the cooling system; and correcting the initial operating load according to the corrected heat to obtain the current operating load of the target energy storage system.

[0105] The corrected heat can be the heat consumed by the cooling system in cooling the target energy storage system.

[0106] Optionally, the aforementioned corrected heat may include: determining the absorbed heat of the target energy storage system based on the temperature change of the target energy storage system; determining the self-consumed heat of the cooling system based on the outlet water temperature of the cooling system; and determining the corrected heat based on the absorbed heat and the self-consumed heat.

[0107] For example, the corrected heat required under the current operating condition can be equal to the sum of the heat that the water cooling system can remove and the heat that the target energy storage system can absorb, which can be expressed as:

[0108] Q2 = Q 热容2 +Q 水冷2 ;

[0109] Among them, Q 热容2Q represents the amount of heat absorbed by the target energy storage system under its current operating conditions; 水冷2 This represents the heat consumed by the target energy storage system after the cooling system provides water cooling services to it under the current operating conditions.

[0110] In this embodiment, the heat absorbed by the target energy storage system under its current operating condition can be calculated using the following formula:

[0111] Q 热容2 =C 电池 M 电池 (T3-T0);

[0112] Among them, C 电池 M represents the thermal capacity of the battery in the target energy storage system. 电池 T3 represents the mass of the battery in the target energy storage system; T4 represents the temperature of the battery in the target energy storage system under the current operating state; T5 represents the initial state temperature set.

[0113] In this embodiment, the self-consumption of heat by the target energy storage system after the cooling system provides water cooling service to it under the current operating state can be calculated using the following formula:

[0114] Q 水冷2 =C 水 M 水 (T4-T0);

[0115] Among them, C 水 M represents the heat capacity of the cooling medium in the cooling system. 水 T4 represents the flow rate of the cooling medium that provides cooling services to the target energy storage system; T0 represents the outlet water temperature of the cooling medium that provides cooling services to the target energy storage system; and T0 represents the initial state temperature.

[0116] Considering that the current value of the target energy storage system is not completely stable during actual operation and may fluctuate, for example, the current may remain at certain values ​​for a short time, only briefly jumping to a certain value, if the cooling system's operating state is dynamically adjusted based on the above steps 210 to 230 whenever the current value changes, this may result in a large amount of computation and the cooling system's operation may be constantly in a dynamic state. Therefore, a standard for adjusting the cooling system can be set.

[0117] In one implementation, the operation of the cooling system can be adjusted based on the logic of steps 210 to 230, determined by the duration of different current values ​​being held. For example... Figure 3 As shown, before step 210, the method may include steps 201 and 202.

[0118] Step 201: Collect the real-time current of the target energy storage system according to the set rules.

[0119] For example, this setting pattern could be to collect the current value of the target energy storage system at predetermined intervals. This predetermined interval could be a fixed value set by default, or a value set by the user based on actual needs.

[0120] Step 202: Determine whether the real-time current collected at each time meets the set conditions, and whether the duration for which the real-time current meets the set conditions exceeds the first duration threshold.

[0121] Optionally, this setting condition can be whether the difference between the real-time current and the current used when calculating the cooling system's operating data in the previous calculation is greater than a set value. This set value can be a fixed value set by default, or a value set by the user based on actual needs.

[0122] By setting this value, the fluctuations in the current within a normal small range can be reduced, which are considered changes in the operating conditions of the target energy storage system. This can reduce the fluctuations in the operation of the cooling system and improve the stability of the cooling system.

[0123] Alternatively, this setting can also be whether the real-time current differs from the current value used when calculating the operating data of the cooling system in the previous calculation.

[0124] If the duration for which the real-time current meets the set conditions exceeds the first duration threshold, then step 210 is executed.

[0125] The first duration threshold can be a fixed value set by default, or it can be a value set by the user based on actual needs. For example, the first duration threshold can be five minutes, ten minutes, half an hour, etc.

[0126] In another implementation, the decision to adjust the operation of the cooling system based on the logic of steps 210 to 230 can be determined based on the duration the cooling system has been running with the current operating data. Figure 4 As shown, before step 210, the method may also include steps 203 and 204.

[0127] Step 203: Collect the real-time current of the target energy storage system according to the set rules.

[0128] Step 204: Determine whether the real-time current collected at each time meets the set conditions, and whether the duration of the cooling system running using the current operating data exceeds the second duration threshold.

[0129] The criteria for setting conditions in step 204 can be the same as the criteria for setting conditions defined in step 202 above, and will not be repeated here.

[0130] The second duration threshold can be a fixed value set by default, or a value set by the user based on actual needs. For example, the second duration threshold can be five minutes, ten minutes, half an hour, etc.

[0131] Through the above implementation logic, the cooling system's operation can be adaptively adjusted based on the actual operating conditions of the energy storage system, allowing it to better meet the system's specific cooling needs. Compared to a cooling system consistently providing cooling at the same frequency, this dynamic adjustment approach can more effectively conserve cooling resources.

[0132] In the above implementation logic, the cooling system can better provide cooling dynamically. However, in some scenarios, the cooling service required by the energy storage system is relatively low. If the cooling service is still provided according to the logic of steps 210 to 230, it may result in a large amount of computation and relatively high power consumption of the cooling system. Based on this, for energy storage systems that are not in operation, the following logic can be used to implement cooling control.

[0133] Step 240: When the target energy storage system is connected to an external load and the target energy storage system is not in operation, control the cooling system to operate at the set specified operating power.

[0134] The specified operating power is less than the operating power of the cooling system of the target energy storage system during operation.

[0135] The operating power can represent the main pump used to transfer the cooling medium in the target energy storage system. The lower the operating power, the less energy is transferred to the cooling medium, and the slower the flow rate of the cooling medium. The higher the operating power, the more energy is transferred to the cooling medium, and the faster the flow rate of the cooling medium.

[0136] The specified operating power value may differ for different cooling systems. It is understandable that once the cooling system is determined, the specified operating power can also be uniquely determined.

[0137] The specified operating power can be a small value. For example, it can be equal to the minimum operating power of the target energy storage system's cooling system, or it can be a value slightly larger than the minimum operating power. For example, the specified operating power can be a specified multiple of the minimum operating power. This specified multiple can be a value less than 1.5 and greater than 1.

[0138] Step 250: When the target energy storage system is connected to an external load and the target energy storage system is not in operation, control the cooling system to run for a first specified duration and stop for a second specified duration alternately.

[0139] The first specified duration and the second specified duration can be values ​​that the user can set as needed.

[0140] Considering that the cooling demand is relatively small when the energy storage system is not operating, the first specified duration can be a value smaller than the second specified duration. The first specified duration can be between 1 minute and 10 minutes, and the second specified duration can be between 10 minutes and 60 minutes. The second specified duration can be an integer multiple of the first specified duration. For example, the first specified duration can be 20 minutes, and the second specified duration can be 40 minutes, 1 hour, etc.

[0141] In step 250, the cooling system can operate for a first specified duration, and then stop for a second specified duration, and so on.

[0142] Step 260: When the target energy storage system is disconnected from the external load, control the cooling system to stop operating.

[0143] In this embodiment, the target energy storage system that is not in operation can be cooled using the method provided in any one of steps 240 to 260 above.

[0144] When the target energy storage system is not in operation, the cooling requirement is relatively low or unnecessary. Therefore, in steps 240 to 260 above, only the internal cooling system of the cooling system operates or stops operating. This saves energy and also better maintains the operational safety of the target energy storage system.

[0145] Through the above implementation logic, cooling services can be better provided to the energy storage system while saving electricity.

[0146] The following example illustrates the different states of an energy storage system, such as... Figure 5 As shown, this illustrates the logic behind the cooling system providing cooling services.

[0147] First, determine the status of the energy storage system.

[0148] Different control logics for the cooling system are determined based on the different states of the energy storage system.

[0149] When the energy storage system is in operation, the real-time current of the energy storage system is collected in real time; it is determined whether the real-time current meets the conditions for switching the operating data of the cooling system; if the real-time current meets the conditions, the updated operating data is calculated based on the real-time current; the cooling system operates with the updated operating data.

[0150] Whether the real-time current meets the conditions for switching the operating data of the cooling system can be determined based on the logic of steps 201 to 204 above.

[0151] The calculation method for the updated runtime data can refer to the calculation method in step 230 above, and the calculation method for runtime data will not be repeated here.

[0152] When the energy storage system is connected to an external load but the target energy storage system is not running, the control cooling system operates at the specified operating power; or it alternates between operating and stopping times according to the set operating duration.

[0153] In this embodiment, the cooling system stops operating when the energy storage system is neither energized nor running.

[0154] Based on the above logic, cooling services can be provided according to the operating conditions of the energy storage system when cooling is required; the cooling system also stops working when the energy storage system is not powered. This better meets the cooling needs of the energy storage system and also saves energy.

[0155] This application also provides an electronic device, including: a processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the machine-readable instructions are executed by the processor to perform the steps of the cooling control method described above.

[0156] Furthermore, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the cooling control method described in the above method embodiments.

[0157] The computer program product of the cooling control method provided in this application includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the steps of the cooling control method described in the above method embodiments. For details, please refer to the above method embodiments, which will not be repeated here.

[0158] In the several embodiments provided in this application, it should be understood that the disclosed methods can also be implemented in other ways. The method embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0159] In addition, the method steps in the various embodiments of this application can be integrated together to form an independent part for execution, or each method step can be executed by a separate module, or two or more steps can be formed into an independent part for execution.

[0160] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks. It should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0161] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0162] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A cooling control method, characterized in that, include: Based on the operating status of the target energy storage system, determine the current operating load of the target energy storage system; The transformation coefficient is determined based on the current operating load and the rated operating load; wherein the rated operating load is a value determined based on the target energy storage system; The operating data of the cooling system of the target energy storage system is adjusted according to the transformation coefficient; wherein the cooling system operates with the operating data.

2. The method according to claim 1, characterized in that, in, The operating data includes the flow rate of the cooling medium in the cooling system; The step of adjusting the operating data of the cooling system of the target energy storage system according to the transformation coefficient includes: The flow rate of the cooling medium in the cooling system is adjusted according to the transformation coefficient.

3. The method according to claim 2, characterized in that, The adjustment of the flow rate of the cooling medium in the cooling system according to the transformation coefficient includes: The adjusted flow rate of the cooling medium is calculated based on the transformation coefficient and the rated flow rate; wherein the rated flow rate is a value determined based on the target energy storage system.

4. The method according to claim 1, characterized in that, Determining the current operating load of the target energy storage system based on its operating status includes: The current operating load of the target energy storage system is determined based on the real-time current of the target energy storage system and the equivalent resistance of the target energy storage system.

5. The method according to claim 4, characterized in that, Determining the current operating load of the target energy storage system based on its real-time temperature and equivalent resistance includes: Based on the real-time current of the target energy storage system and the equivalent resistance of the target energy storage system, the initial operating load of the target energy storage system is calculated. Calculate the corrected heat based on the operating parameters of the target energy storage system and the cooling system; The initial operating load is corrected based on the corrected heat to obtain the current operating load of the target energy storage system.

6. The method according to claim 5, characterized in that, The step of calculating the corrected heat based on the operating parameters of the target energy storage system and the cooling system includes: The heat absorbed by the target energy storage system is determined based on the temperature change of the target energy storage system. The self-consumption heat of the cooling system is determined based on the outlet water temperature of the cooling system. The corrected heat is determined based on the absorbed heat and the self-consumed heat.

7. The method according to claim 4, characterized in that, Before determining the current operating load of the target energy storage system based on its real-time current and equivalent resistance, the method further includes: The real-time current of the target energy storage system is collected according to a set pattern; Determine whether the real-time current collected at each time meets the set conditions, and whether the duration for which the real-time current meets the set conditions exceeds the first duration threshold. If the duration for which the real-time current meets the set conditions exceeds a first duration threshold, then the step of determining the current operating load of the target energy storage system based on the real-time current of the target energy storage system and the equivalent resistance of the target energy storage system is executed again.

8. The method according to claim 4, characterized in that, Before determining the current operating load of the target energy storage system based on its real-time current and equivalent resistance, the method further includes: The real-time current of the target energy storage system is collected according to a set pattern; Determine whether the real-time current collected at each time meets the set conditions, and whether the duration of operation of the cooling system using the current operating data exceeds the second duration threshold. If the real-time current meets the set conditions and the cooling system operates using the current operating data for a duration exceeding the second duration threshold, then the step of determining the current operating load of the target energy storage system based on the real-time current of the target energy storage system and the equivalent resistance of the target energy storage system is executed.

9. The method according to any one of claims 1-8, characterized in that, The step of determining the transformation coefficient based on the current operating load and the rated operating load includes: Calculate the ratio of the current operating load to the rated operating load, and use it as the transformation coefficient.

10. The method according to any one of claims 1-8, characterized in that, The method further includes: When the target energy storage system is connected to an external load and is not in operation, the cooling system is controlled to operate at a set specified operating power; wherein the specified operating power is less than the operating power of the cooling system when the target energy storage system is in operation.

11. The method according to any one of claims 1-8, characterized in that, The method further includes: When the target energy storage system is connected to an external load and is not in operation, the cooling system is controlled to operate alternately for a first specified duration and then stop for a second specified duration.

12. The method according to any one of claims 1-8, characterized in that, The method further includes: When the target energy storage system is disconnected from the external load, the cooling system is controlled to stop operating.

13. An electronic device, characterized in that, include: The processor and memory, wherein the memory stores machine-readable instructions executable by the processor, wherein when the electronic device is running, the machine-readable instructions are executed by the processor to perform the steps of the method as described in any one of claims 1 to 12.

14. An energy storage device, characterized in that, include: Energy storage systems and cooling systems; The cooling system uses the method described in any one of claims 1 to 12 to perform thermal management on the energy storage system.

15. The energy storage device according to claim 14, characterized in that, The cooling system includes an internal cooling system and an external cooling system; When the energy storage system is in operation, the internal cooling system and the external cooling system are controlled by the method according to any one of claims 1 to 9 in order to perform thermal management of the energy storage system; When the energy storage system is not in operation, the internal cooling system and the external cooling system control the internal cooling system using the method described in any one of claims 10 to 12 to perform thermal management of the energy storage system.

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