Filter filth blockage judgment method, control device, liquid cooling unit and energy storage system

Abstract

The invention provides a filter filth blockage judgment method, a control device, a liquid cooling unit and an energy storage system. The filter filth blockage judgment method comprises the following steps: determining a current flow coefficient Kvg of a filter; and on the basis that the current flow coefficient Kvg of the filter meets a set filth blockage condition, filth blockage of the filter is judged. As the flow coefficient Kv value of the valve represents the flow capacity of the valve, is only related to the property of the valve and is irrelevant to the change of the flow output by the water pump or the change of the resistance outside the machine, whether the filter is filth-blocked or not is judged through the current flow coefficient Kvg of the filter, and the influence of the change of the output of the water pump or the change of the resistance outside the machine can be avoided; false alarm can be avoided, and the stability of filth blockage judgment of the filter is improved.

Description

Technical Field

[0001] The present application relates to but is not limited to the technical field of energy management equipment, and specifically refers to a filter dirty blockage determination method, a control device, a liquid cooling unit and an energy storage system. Background Art

[0002] Liquid cooling units play an important role in the temperature control management of energy storage systems (such as battery energy storage systems). For example, in the temperature control management of batteries, liquid cooling units indirectly transfer heat away from batteries by providing circulating liquid (such as water) to the cold plate at the end of the battery. The circulating water quality of the closed system is affected by acidification and other factors, which may cause the unit to be dirty and damaged. After the system has been running for a long time, the filter is prone to dirty clogging.

[0003] At present, the main methods in the industry for judging whether the filter of the liquid cooling unit of the energy storage system is dirty or clogged are: judging by the pressure difference between the inlet and outlet of the filter. The main disadvantage of this method is that the filter blockage alarm threshold is a fixed value, and the system generally does not have a flow meter. Changes in water pump output or changes in external resistance of the machine will cause changes in flow, which is easy to cause false alarms and is not conducive to stability. Summary of the invention

[0004] The technical problem to be solved by the present application is to provide a method for determining whether a filter is dirty or clogged, which is not affected by changes in the water pump output or changes in the external resistance of the machine.

[0005] An embodiment of the present application provides a method for determining filter dirtiness and blockage, comprising: determining a current flow coefficient Kvg of a filter; and determining that the filter is dirty and blocked based on whether the current flow coefficient Kvg of the filter satisfies a set dirtiness and blockage condition.

[0006] When the filter is not dirty and clogged, the filter's flow capacity is large, and the current flow coefficient Kvg should be equal to the filter's factory calibration value Kvgs. When the filter is dirty and clogged, the filter's flow capacity decreases, and the pressure loss when the fluid flows through the valve is large, so the current flow coefficient Kvg will decrease. Therefore, by determining the filter's current flow coefficient Kvg and judging whether the current flow coefficient Kvg meets the set dirty and clogged conditions, it can be judged whether the filter is dirty and clogged. If the current flow coefficient Kvg meets the set dirty and clogged conditions, it can be judged that the filter is dirty and clogged; if the current flow coefficient Kvg does not meet the set dirty and clogged conditions, it can be judged that the filter is not dirty and clogged.

[0007] Since the flow coefficient Kv value of the valve represents the flow capacity of the valve, it is only related to the properties of the valve itself and has nothing to do with the flow change of the water pump output or the change of the external resistance of the machine. Therefore, judging whether the filter is dirty or clogged by the current flow coefficient Kvg of the filter will not be affected by the change of the water pump output or the change of the external resistance of the machine, which is conducive to avoiding false alarms and improving the stability of the judgment of filter dirtiness and blockage.

[0008] An embodiment of the present application further provides a control device, including a processor and a memory storing a computer program, wherein when the processor executes the computer program, the steps of the filter dirty blockage determination method as described in the above embodiment are implemented.

[0009] An embodiment of the present application also provides a liquid cooling unit, including a filter, other liquid circulation components connected to the filter, and a control device as described in the above embodiment.

[0010] An embodiment of the present application further provides an energy storage system, including a liquid circulation system, wherein the liquid circulation system includes the liquid cooling unit as described in the above embodiment. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 A schematic diagram of the structure of a liquid circulation system provided in some embodiments of the present application; Figure 2 A schematic flow chart of a method for determining filter dirtiness and blockage provided in some embodiments of the present application; Figure 3 A schematic flow chart of a filter dirty or clogged determination method provided in some embodiments of the present application.

[0012] In the accompanying drawings, the components represented by the reference numerals are listed as follows: 10 internal system of the unit, 11 filter, 12 heat exchanger, 131 butterfly valve, 132 ball valve, 133 water side detection valve, 14 expansion tank, 15 safety valve, 16 automatic exhaust valve, 17 circulating water pump, 181 first inlet water pressure sensor, 182 first outlet water pressure sensor, 183 second inlet water pressure sensor, 184 second outlet water pressure sensor, 191 temperature sensor, 192 water pressure sensor; 20 unit external system, 21 external load. DETAILED DESCRIPTION

[0013] The principles and features of the present application are described below in conjunction with the accompanying drawings. The examples given are only used to explain the present application and are not used to limit the scope of the present application.

[0014] like Figure 1 As shown, the filter 11 can be arranged in a liquid circulation system, such as a closed circulation system. The medium flowing in the liquid circulation system is a circulating liquid. The circulating liquid can be water or a liquid to which other substances (such as antifreeze substances, anticorrosive substances, etc.) are added. The following is an example in which the circulating liquid is water.

[0015] The filter 11 can filter impurities in the water, but it is easy to get dirty and clogged over time. In addition to the filter 11, the liquid circulation system may also include other liquid circulation components such as a circulating water pump 17, a heat exchanger 12, a ball valve 132, a butterfly valve 131, and a water side detection valve 133. The liquid circulation system may include an internal system 10 of the unit and an external system 20 of the unit connected by a pipeline. Components such as the filter 11, the ball valve 132, the butterfly valve 131, and the water side detection valve 133 are located in the internal system 10 of the unit. The external system 20 of the unit may include components such as an external load 21 and an automatic exhaust valve 16. The external load 21 may be, but is not limited to: a cold plate of a power battery pack (a battery pack is also called a battery module, which is a battery pack formed by connecting multiple single cells in series), or it may be a terminal product of other water machines, such as a fan coil unit FCU (Fan Coil Unit), an air handler LAH (Liquid Air Heat Exchanger), and a combined air conditioning box AHU (Air Handling Unit). The internal system 10 of the unit may be a liquid cooling unit, and may be used to perform temperature control on the external load 21. The internal system 10 of the unit may further include components such as a safety valve 15, an expansion tank 14, a water pressure sensor 192, and a temperature sensor 191.

[0016] like Figure 2 As shown, the embodiment of the present application provides a method for determining whether a filter is dirty or blocked, comprising: Step S202: Calculate the current flow coefficient Kvg of the filter 11; Step S204: Based on the fact that the current flow coefficient Kvg of the filter 11 satisfies the set dirty clogging condition, it is determined that the filter 11 is dirty and clogged.

[0017] The flow coefficient Kv value refers to the volume flow or mass flow of the pipeline medium flowing through the valve under the test conditions and the constant pressure of the pipeline in a unit time, that is, the flow capacity of the valve. Therefore, the flow coefficient Kv value is an indicator to measure the flow capacity of the valve. A large flow coefficient value indicates a large flow capacity of the valve and a small pressure loss when the fluid flows through the valve. Therefore, the flow coefficient Kv value will change with the opening or dirty blockage of the valve.

[0018] Therefore, when the filter 11 is not dirty and clogged, the flow capacity of the filter 11 is large, and the current flow coefficient Kvg should be equal to the calibration value Kvgs of the filter 11 when it leaves the factory. When the filter 11 is dirty and clogged, the flow capacity of the filter 11 decreases, and the pressure loss when the fluid flows through the valve is large, so the current flow coefficient Kvg will decrease. Therefore, by determining the current flow coefficient Kvg of the filter 11 and judging whether the current flow coefficient Kvg meets the set dirty and clogged condition, it can be judged whether the filter 11 is dirty and clogged. If the current flow coefficient Kvg meets the set dirty and clogged condition, it can be judged that the filter 11 is dirty and clogged; if the current flow coefficient Kvg does not meet the set dirty and clogged condition, it can be judged that the filter 11 is not dirty and clogged.

[0019] Since the flow coefficient Kv value of the valve represents the flow capacity of the valve and is only related to the properties of the valve itself, and has nothing to do with the flow change of the water pump output or the change of the external resistance of the machine, the current flow coefficient Kvg of the filter 11 is used to judge whether the filter 11 is dirty or clogged. This will not be affected by the change of the water pump output or the change of the external resistance of the machine, which is beneficial to avoid false alarms and improve the stability of the judgment of the dirtiness of the filter 11.

[0020] In some exemplary embodiments, Figure 3 As shown, determining the current flow coefficient Kvg of the filter 11 includes: Determine the inlet and outlet pressure difference ΔPg of the filter 11 and the inlet and outlet pressure difference ΔPb of other liquid flow components connected to the filter 11; The current flow coefficient Kvg of the filter 11 is calculated based on the inlet and outlet pressure difference ΔPg of the filter 11, the inlet and outlet pressure difference ΔPb of other liquid flow components, and the flow coefficient calibration value Kvb of other liquid flow components.

[0021] △Pg = inlet pressure of filter 11 - outlet pressure of filter 11, △Pb = inlet pressure of other liquid circulation components - outlet pressure of other liquid circulation components. The flow coefficient calibration value Kvb of the liquid circulation component refers to the flow coefficient calibrated when the liquid circulation component leaves the factory, that is, the flow coefficient when it is fully open and without any dirt or blockage.

[0022] In this way, it is only necessary to set pressure sensors at the inlet and outlet of the filter 11 and the inlet and outlet of other liquid flow components to detect the inlet and outlet pressure difference, and the current flow coefficient Kvg of the filter 11 can be calculated without setting up an additional flow meter. Compared with the pressure sensor, the cost of the flow meter is much higher, so this solution does not need to set up an additional flow meter, which is conducive to reducing production costs.

[0023] Among them, other liquid circulation components connected to the filter 11 can be liquid circulation components whose circulation capacity generally does not change, such as liquid circulation components that are not prone to dirt blockage or do not need to frequently adjust the opening (such as the heat exchanger 12). Of course, they can also be other liquid circulation components such as the ball valve 132, the butterfly valve 131, and the water side detection valve 133.

[0024] The calculation formula of the flow coefficient Kv value is: , so Where ρ is the measured density of the circulating fluid, in g / cm 3 , which can be obtained from the preset circulating fluid density-temperature table or density-temperature curve; ρ0 is the density of the circulating fluid at 60°F. When the circulating fluid is water, ρ0=1g / cm 3 ;△P0=0.1MPa,△P is the measured inlet and outlet pressure difference. When the circulating fluid is other fluids, ρ, ρ0, the flow coefficient calibration value Kvb of other liquid flow components and other parameters can be adjusted accordingly.

[0025] Since the filter 11 is connected to other liquid flow components in the same flow path, it can be considered that the flow rate at each location of the flow path is equal. Therefore, qv can be calculated based on the inlet and outlet pressure difference △Pb of other liquid flow components and the flow coefficient calibration value Kvb of other liquid flow components, and then the current flow coefficient Kvg of the filter 11 can be calculated based on qv and the inlet and outlet pressure difference △Pg of the filter 11.

[0026] Therefore, in one embodiment, the current flow coefficient Kvg of the filter 11 is calculated based on the inlet and outlet pressure difference ΔPg of the filter 11, the inlet and outlet pressure difference ΔPb of other liquid flow components, and the flow coefficient calibration value Kvb of other liquid flow components, including: Substitute the inlet and outlet pressure difference △Pb of other liquid flow components and the flow coefficient calibration value Kvb of other liquid flow components into the formula , calculate the flow rate qv of the flow path where the filter 11 and other liquid flow components are located; Substitute the flow rate qv and the inlet and outlet pressure difference △Pg of the filter 11 into the formula , the current flow coefficient Kvg of the filter 11 is calculated.

[0027] Where ρ is the measured density of the circulating fluid, in g / cm 3 , which can be obtained from the preset circulating fluid density-temperature table or density-temperature curve; ρ0 is the density of the circulating fluid (water) at 60°F, ρ0=1g / cm 3 ; △P0=0.1MPa. When the circulating fluid is other media, parameters such as ρ, ρ0, and the flow coefficient calibration value Kvb of other liquid flow components can be adjusted accordingly.

[0028] Alternatively, substituting the calculation formula of qv into the calculation formula of Kvg, we can get = .

[0029] Therefore, in another embodiment, the current flow coefficient Kvg of the filter 11 is calculated based on the inlet and outlet pressure difference ΔPg of the filter 11, the inlet and outlet pressure difference ΔPb of other liquid flow components, and the flow coefficient calibration value Kvb of other liquid flow components, including: According to the formula , the current flow coefficient Kvg of the filter 11 is calculated.

[0030] This can reduce the amount of calculation, help simplify the electronic control program, and eliminate the need to look up the density of the circulating fluid, which helps reduce costs and is more accurate.

[0031] In other embodiments, a flow meter may be provided to calculate the current flow coefficient Kvg of the filter 11 using the flow detected by the flow meter.

[0032] In some exemplary embodiments, the flow coefficient calibration value of the filter 11 is recorded as Kvgs, and the dirty and clogging condition is set including: the comparison result of Kvg and Kvgs meets the preset condition. The flow coefficient calibration value Kvgs of the filter 11 refers to the flow coefficient calibrated when the filter leaves the factory, that is, the flow coefficient without any dirty and clogging.

[0033] Since Kvgs indicates the flow capacity of the filter 11 when it is not dirty or clogged, and Kvg indicates the flow capacity of the filter 11 during actual use, by comparing Kvg with Kvgs, it can be determined whether the filter 11 is dirty or clogged.

[0034] In some embodiments, Figure 3 As shown, the preset conditions include: |Kvg-Kvgs| / Kvgs≥ε, ε is a first set threshold, 0<ε<1.

[0035] Among them, |Kvg-Kvgs| can represent the flow capacity lost by the filter 11, and |Kvg-Kvgs| / Kvgs represents the ratio of the flow capacity lost by the filter 11 to the flow capacity when the filter 11 is not clogged, which can represent the degree of clogged filter 11. When the degree of clogged filter 11 is relatively small (i.e., |Kvg-Kvgs| / Kvgs<ε), it can be ignored and it is considered that no clogged filter has occurred, so as to avoid too high frequency of cleaning and replacement of the filter 11; when the degree of clogged filter 11 is relatively large (i.e., |Kvg-Kvgs| / Kvgs≥ε), it can be considered that clogged filter 11 has occurred.

[0036] Moreover, the size of ε is not restricted and can be reasonably set as needed, such as 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, etc.

[0037] In other embodiments, the preset condition may also include: Kvg / Kvgs<ε1, ε1 is the second set threshold, 0<ε1<1.

[0038] In some embodiments, Figure 3 As shown, setting the dirty blockage condition also includes: the duration of |Kvg-Kvgs| / Kvgs≥ε reaches a first set duration ts1.

[0039] In other words, the filter 11 is determined to be clogged only when the filter 11 is clogged to a large extent and lasts for a certain period of time ts1. This helps avoid misjudgment of the filter 11 being clogged due to accidental factors or other errors, and helps improve the accuracy and reliability of the filter clog determination.

[0040] In some embodiments, 1min≤ts1≤10min, such as 1min, 2min, 3min, 4min, 5min, 6min, 7min, 8min, 9min, 10min, etc.

[0041] Of course, ts1 is not limited to the above range and can be adjusted as needed.

[0042] In some exemplary embodiments, the inlet and outlet pressure difference △Pb of other liquid circulation components and the inlet and outlet pressure difference △P of the filter 11 are determined, including: regularly detecting the inlet and outlet pressures of other liquid circulation components and the inlet and outlet pressures of the filter 11, and calculating the inlet and outlet pressure difference △Pb of other liquid circulation components and the inlet and outlet pressure difference △Pg of the filter 11, and obtaining △Pb1, △Pb2, ..., △Pbn and △Pg1, △Pg2, ..., △Pgn at different times, where n is a positive integer.

[0043] As for the interval duration between adjacent detection moments (less than the first set duration ts1), it can be reasonably set as needed, such as but not limited to 1 second (i.e., the pressure is detected once every second to obtain a pressure difference), 5 seconds (i.e., the pressure is detected once every 5 seconds to obtain a pressure difference), 10 seconds (i.e., the pressure is detected once every 10 seconds to obtain a pressure difference), 30 seconds (i.e., the pressure is detected once every 30 seconds to obtain a pressure difference), etc.

[0044] The flow rate qv of the liquid cooling unit is calculated according to the inlet and outlet pressure difference △Pb of other liquid circulation components and the flow coefficient calibration value Kvb of other liquid circulation components, including: according to △Pb1, △Pb2, ..., △Pbn and Kvb, the flow rates qv1, qv2, ..., qvn of the liquid cooling unit at different times are calculated.

[0045] Among them, qv1 is calculated based on △Pb1 and Kvb, qv2 is calculated based on △Pb2 and Kvb, ... qvn is calculated based on △Pbn and Kvb.

[0046] According to the flow rate qv of the liquid cooling unit and the inlet and outlet pressure difference △P of the filter 11, the current flow coefficient Kvg of the filter 11 is calculated, including: according to qv1, qv2, ..., qvn and △Pg1, △Pg2, ..., △Pgn, the current flow coefficients Kvg1, Kvg2, ..., Kvgn of the filter 11 at different times are calculated.

[0047] Among them, Kvg1 is calculated based on qv1 and △Pg1, Kvg2 is calculated based on qv2 and △Pg2, ... Kvgn is calculated based on qvn and △Pgn.

[0048] Alternatively, Kvg1 can be calculated based on △Pb1, Kvb, and △Pg1, Kvg2 can be calculated based on △Pb2, Kvb, and △Pg2, ..., and Kvgn can be calculated based on △Pbn, Kvb, and △Pgn.

[0049] In other words, after the pressure difference at each detection moment is calculated, the flow rate at the corresponding moment can be calculated, and then the current flow coefficient of the filter 11 can be calculated based on the flow rate, or the current flow coefficient of the filter 11 can be directly calculated based on the pressure difference at the corresponding moment and Kvb.

[0050] According to whether the current flow coefficient Kvg of the filter 11 satisfies the set dirty blockage condition, it is judged whether the filter 11 is dirty blocked, including: based on |Kvgi-Kvgs| / Kvgs≥ε, and |Kvg(i+1)-Kvgs| / Kvgs≥ε, and ..., and |Kvg(i+k)-Kvgs| / Kvgs≥ε, and the time from time i to time i+k reaches the first set time ts1 (that is, the time from time i to time i+k is greater than or equal to the first set time ts1), it is judged that the filter 11 is dirty blocked. i is a positive integer, and k is a positive integer.

[0051] In other words, when |Kvgi-Kvgs| / Kvgs≥ε is satisfied at the detection time i, the timing starts, and the next detection time continues to determine whether |Kvg(i+1)-Kvgs| / Kvgs≥ε is satisfied. If not, the timing is reset; if satisfied, it is determined whether the timing duration reaches ts1. If it reaches ts1, it is determined that the filter 11 is dirty and blocked. If it does not reach ts1, the timing continues.

[0052] Furthermore, at the next detection time i+2, it is continued to determine whether |Kvg(i+2)-Kvgs| / Kvgs≥ε is satisfied. If not, the timing is reset; if satisfied, it is determined whether the timing reaches ts1. If it reaches ts1, it is determined that the filter 11 is dirty and blocked. If it does not reach ts1, the timing is continued, and at the next detection time i+3, it is continued to determine whether |Kvg(i+3)-Kvgs| / Kvgs≥ε is satisfied.

[0053] And so on, until |Kvgi-Kvgs| / Kvgs≥ε, and |Kvg(i+1)-Kvgs| / Kvgs≥ε, and ..., and |Kvg(i+k)-Kvgs| / Kvgs≥ε, and the time from time i to time i+k reaches the first set time ts1, it can be determined that the filter 11 is dirty and blocked.

[0054] In some exemplary embodiments, before determining the current flow coefficient Kvg of the filter 11, the filter dirty blockage determination method further includes: Determine whether the system self-test is qualified; Based on the system self-check being passed, a step of determining the current flow coefficient Kvg of the filter 11 is performed.

[0055] This helps to avoid misjudgment caused by inaccurate Kvg due to system failure (such as water pressure sensor failure), ensures the accuracy of system resistance detection, and thus helps to improve the reliability of the determination of whether the filter 11 is dirty or blocked.

[0056] In some exemplary embodiments, Figure 3 As shown, determine whether the system self-test is qualified, including: Within the set self-test time, the inlet and outlet pressure differences △Pb of m other liquid flow components connected to the filter 11 at different times are determined respectively to obtain △Pb1, ..., △Pbm, where m is a positive integer greater than 1; According to △Pb1, ..., △Pbm and the flow coefficient calibration value Kvb of other liquid flow components, the flow rates qv1, ..., qvm of the flow path where the filter 11 and other liquid flow components are located at m different times are calculated; Based on qv1, ..., qvm, determine whether the system self-test is qualified.

[0057] When there is no failure in the system, the flow rates calculated at different times should be consistent or basically consistent. Therefore, the flow rates calculated by the inlet and outlet pressure differences △Pb of other liquid flow components at different times can be used to determine whether the system self-test is qualified.

[0058] Among them, the setting of the self-test duration can be reasonably determined according to needs, for example, the setting of the self-test duration can be within the range of but not limited to 10 minutes to 60 minutes. As for the interval between adjacent detection moments within the set self-test duration (less than the set self-test duration ts1), it can be reasonably set according to needs, for example, it can be but not limited to 1 second (that is, the pressure is detected once every second, and the pressure difference is obtained once), 5 seconds (that is, the pressure is detected once every 5 seconds, and the pressure difference is obtained once), 10 seconds (that is, the pressure is detected once every 10 seconds, and the pressure difference is obtained once), 30 seconds (that is, the pressure is detected once every 30 seconds, and the pressure difference is obtained once), etc.

[0059] In some embodiments, Figure 3 As shown, according to qv1, ..., qvm, it is judged whether the system self-test is qualified, including: Calculate the standard deviation σ of qv1, ..., qvm; Based on the standard deviation σ satisfying the first set condition, it is determined that the system self-test is qualified.

[0060] In one embodiment, the first setting condition includes: σ<σs, where σs is a setting threshold.

[0061] The calculation method of standard deviation σ is as follows: first calculate the average flow rate qvave = (qv1 + ... + qvm) / m; then calculate the square of the difference between qv and the average value qvave at different times, and then calculate the average value to get the variance, that is [(qv1-qvave) 2 +……+(qvm-qvave) 2 ] / m; taking the square root of the variance gives the standard deviation σ.

[0062] The standard deviation is a statistical indicator used to measure the degree of discreteness or dispersion of values ​​in a data set. It indicates the degree of dispersion of each data point in a set of data relative to the mean value. The larger the standard deviation, the greater the deviation of the data point from the mean value; the smaller the standard deviation, the smaller the deviation of the data point from the mean value. Therefore, in this scheme, the standard deviation σ represents the degree of dispersion of the flow rate qv at different times relative to the flow average value qvave. The larger σ is, the greater the change of the flow rate qv at different times; the smaller σ is, the greater the change of the flow rate qv at different times. Therefore, when σ<σs, it can be considered that the system self-test is qualified.

[0063] In some embodiments, 1m 3 / h≤σs≤10m3 / h, for example 1m 3 / h、2m 3 / h、4m 3 / h、6m 3 / h、8m 3 / h、10m 3 / h, etc. Of course, σs is not limited to the above range and can be adjusted as needed.

[0064] In other embodiments, the variance of qv1, ..., qvm (denoted as σ 2 ) or other indicators to determine whether the system has passed the self-test. For example: σ 2 <σs 2 When the system self-test is completed, it is determined that the system has passed the self-test.

[0065] In some exemplary embodiments, Figure 3 As shown, the filter dirty and blocked determination method also includes: based on the system self-check failure, issuing a first reminder message. This facilitates the staff to perform maintenance in a timely manner. The first reminder message may include but is not limited to sound signals, light signals, picture signals, etc.

[0066] In some exemplary embodiments, Figure 3 As shown, the filter dirty and blocked determination method further includes: based on determining that the filter 11 is dirty and blocked, the unit is shut down and a second reminder message is issued. This facilitates the staff to promptly inspect the filter 11. The second reminder message may include but is not limited to sound signals, light signals, picture signals, etc.

[0067] In some exemplary embodiments, the other liquid flow component is the heat exchanger 12. Since the flow capacity of the heat exchanger 12 generally does not change and the opening generally does not need to be adjusted during use, the flow coefficient calibration value of the heat exchanger 12 is used to calculate the flow rate, which has high accuracy.

[0068] The heat exchanger 12 may be, but is not limited to, a plate heat exchanger, a shell and tube heat exchanger, a sleeve heat exchanger, or other refrigerant-coolant heat exchangers (such as a water-coolant heat exchanger). Alternatively, only one heat exchange medium may flow through the heat exchanger 12, and the heat exchange function is achieved by heat exchange between the heat exchange medium and the outside air.

[0069] When there are two kinds of medium channels in the heat exchanger 12 , the flow coefficient calibration value Kvb of the heat exchanger 12 in the embodiment of the present application refers to the flow coefficient calibration value of the medium channel connected to the filter 11 .

[0070] To summarize, the filter dirty and clogged judgment method provided in the embodiment of the present application determines whether the filter is dirty and clogged by calculating the current flow coefficient Kv value of the filter. First, the resistance detection accuracy of the circulating fluid system is calibrated through system self-inspection, and then the pressure difference and the established parameter Kvb are used. It can quickly and accurately predict whether the filter is dirty and clogged without being affected by changes in the water pump output and changes in the external resistance of the machine, and also avoids the problem of increased costs caused by adding an additional flow meter in the closed circulation system.

[0071] An embodiment of the present application also provides a control device, including a processor and a memory storing a computer program. When the processor executes the computer program, the steps of the filter dirty blockage determination method as described in any of the above embodiments are implemented, thereby having all the above-mentioned beneficial effects, which will not be repeated here.

[0072] The processor may be an integrated circuit chip with signal processing capabilities. The above-mentioned processor 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 gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention may be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0073] The embodiment of the present application also provides a liquid cooling unit, including a filter 11, other liquid circulation components connected to the filter 11, and a control device as in the above embodiment, and thus has all the above-mentioned beneficial effects, which will not be repeated here.

[0074] In some embodiments, Figure 1 As shown, a first inlet water pressure sensor 181 and a first outlet water pressure sensor 182 are respectively provided at the inlet and outlet of the filter 11, the first inlet water pressure sensor 181 is configured to detect the inlet water pressure of the filter 11, and the first outlet water pressure sensor 182 is configured to detect the outlet water pressure of the filter 11. Other liquid flow components include a heat exchanger 12, and a second inlet water pressure sensor 183 and a second outlet water pressure sensor 184 are respectively provided at the inlet and outlet of the heat exchanger 12, the second inlet water pressure sensor 183 is configured to detect the inlet water pressure of the heat exchanger 12, and the second outlet water pressure sensor 184 is configured to detect the outlet water pressure of the heat exchanger 12.

[0075] The embodiment of the present application further provides an energy storage system, including a liquid circulation system, wherein the liquid circulation system includes a liquid cooling unit as in the above embodiment, and thus has all the above beneficial effects, which will not be described in detail here.

[0076] The energy storage system may be, but is not limited to, a battery energy storage system, an energy storage air conditioner, an air handler, etc.

[0077] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0078] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0079] In this application, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0080] In the present application, unless otherwise clearly specified and limited, a first feature being “above” or “below” a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being “above”, “above”, and “above” a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being “below”, “below”, and “below” a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0081] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0082] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

[0083] In any one or more of the above exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted via a computer-readable medium as one or more instructions or codes, and executed by a hardware-based processing unit. A computer-readable medium may include a computer-readable storage medium corresponding to a tangible medium such as a data storage medium, or a communication medium that facilitates the transmission of a computer program from one place to another, such as according to a communication protocol. In this way, a computer-readable medium may generally correspond to a non-temporary tangible computer-readable storage medium or a communication medium such as a signal or carrier wave. A data storage medium may be any available medium that can be accessed by one or more computers or one or more processors to retrieve instructions, codes, and / or data structures for implementing the technology described in the present disclosure. A computer program product may include a computer-readable medium.

[0084] By way of example and not limitation, such computer-readable storage media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage devices, magnetic disk storage devices or other magnetic storage devices, flash memory or any other medium that can be used to store the desired program code in the form of instructions or data structures and can be accessed by a computer. Moreover, any connection may also be referred to as a computer-readable medium. For example, if instructions are transmitted from a website, server or other remote source using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL) or wireless technologies such as infrared, radio and microwave, then coaxial cable, fiber optic cable, double-stripe line, DSL or wireless technologies such as infrared, radio and microwave are included in the definition of medium. However, it should be understood that computer-readable storage media and data storage media do not include connections, carriers, signals or other transient (transient) media, but are directed to non-transient tangible storage media. As used herein, disks and optical disks include compact disks (CDs), laser optical disks, optical optical disks, digital versatile disks (DVDs), floppy disks or Blu-ray disks, etc., where disks typically reproduce data magnetically, and optical disks use lasers to reproduce data optically. Combinations of the above should also be included within the scope of computer-readable media.

[0085] For example, instructions may be executed by one or more processors such as one or more digital signal processors (DSPs), general-purpose microprocessors, application-specific integrated circuits (ASICs), field programmable logic arrays (FPGAs), or other equivalent integrated or discrete logic circuits. Therefore, the term "processor" as used herein may refer to any of the above structures or any other structures suitable for implementing the techniques described herein. In addition, in some aspects, the functionality described herein may be provided in dedicated hardware and / or software modules configured for encoding and decoding, or incorporated in a combined codec. Furthermore, the techniques may be fully implemented in one or more circuits or logic elements.

[0086] The technical solutions of the embodiments of the present disclosure can be implemented in a wide variety of devices or equipment, including wireless mobile phones, integrated circuits (ICs) or a group of ICs (e.g., chipsets). Various components, modules or units are described in the embodiments of the present disclosure to emphasize the functional aspects of the devices configured to perform the described technologies, but they do not necessarily need to be implemented by different hardware units. Instead, as described above, the various units can be combined in a codec hardware unit or provided by a collection of interoperable hardware units (including one or more processors as described above) in combination with appropriate software and / or firmware.

Claims

1. A method for determining whether a filter is dirty or blocked, characterized in that: include: Determine the current flow coefficient Kvg of the filter; Based on the current flow coefficient Kvg of the filter satisfying the set dirty clogging condition, it is determined that the filter is dirty and clogged.

2. The filter dirty and blocked determination method according to claim 1, characterized in that: The determining of the current flow coefficient Kvg of the filter comprises: Determine the inlet and outlet pressure difference ΔPg of the filter and the inlet and outlet pressure difference ΔPb of other liquid flow components connected to the filter; The current flow coefficient Kvg of the filter is calculated based on the inlet and outlet pressure difference ΔPg of the filter, the inlet and outlet pressure difference ΔPb of the other liquid flow components, and the flow coefficient calibration value Kvb of the other liquid flow components.

3. The filter dirty and blocked determination method according to claim 2, characterized in that: The current flow coefficient Kvg of the filter is calculated based on the inlet and outlet pressure difference ΔPg of the filter, the inlet and outlet pressure difference ΔPb of the other liquid flow components, and the flow coefficient calibration value Kvb of the other liquid flow components, including: Substitute the inlet and outlet pressure difference ΔPb of the other liquid flow components and the flow coefficient calibration value Kvb of the other liquid flow components into the formula , calculate and obtain the flow rate qv of the flow path where the filter and other liquid flow components are located; Substitute the flow rate qv and the filter inlet and outlet pressure difference △Pg into the formula , calculate and obtain the current flow coefficient Kvg of the filter; Where ρ is the measured density of the circulating fluid, in g / cm 3 ; ρ0 is the density of the circulating fluid at 60℉; △P0=0.1MPa.

4. The filter dirty blockage determination method according to claim 2, characterized in that: The current flow coefficient Kvg of the filter is calculated based on the inlet and outlet pressure difference ΔPg of the filter, the inlet and outlet pressure difference ΔPb of the other liquid flow components, and the flow coefficient calibration value Kvb of the other liquid flow components, including: According to the formula , calculate and obtain the current flow coefficient Kvg of the filter.

5. The filter dirty and blocked determination method according to any one of claims 1 to 4, characterized in that: The flow coefficient calibration value of the filter is recorded as Kvgs, and the setting of the dirty and clogging condition includes: the comparison result of the Kvg and the Kvgs meets the preset condition; The preset conditions include: |Kvg-Kvgs| / Kvgs≥ε, where ε is a first set threshold, and 0<ε<1.

6. The filter dirty blockage determination method according to claim 5, characterized in that: The set dirty and blocked condition also includes: the duration of |Kvg-Kvgs| / Kvgs≥ε reaches a first set duration ts1.

7. The filter dirty and blocked determination method according to any one of claims 1 to 4, characterized in that: Before determining the current flow coefficient Kvg of the filter, the filter dirty blockage determination method further includes: Determine whether the system self-test is qualified; Based on the system self-check being qualified, the step of determining the current flow coefficient Kvg of the filter is performed.

8. The filter dirty and blocked determination method according to claim 7, characterized in that: The step of determining whether the system self-test is qualified comprises: Within the set self-test time, respectively determine the inlet and outlet pressure differences △Pb of m other liquid flow components connected to the filter at different times to obtain △Pb1, ..., △Pbm, where m is a positive integer greater than 1; According to the ΔPb1, ..., ΔPbm and the flow coefficient calibration value Kvb of the other liquid flow components, the flow rates qv1, ..., qvm of the flow path where the filter and the other liquid flow components are located at m different moments are calculated; According to the qv1, ..., qvm, it is determined whether the system self-check is qualified.

9. The filter dirty blockage determination method according to claim 8, characterized in that: The step of judging whether the system self-check is qualified according to the qv1, ..., qvm comprises: Calculate the standard deviation σ of qv1, ..., qvm; Based on the standard deviation σ satisfying a first set condition, determining that the system self-test is qualified; The first setting condition includes: σ<σs, where σs is a setting threshold.

10. The filter dirty and blocked determination method according to claim 7, characterized in that: Also includes: The first reminder message is issued based on the failure of the system self-check.

11. The filter dirty and blocked determination method according to any one of claims 2 to 4, characterized in that: The other liquid circulation component is a heat exchanger.

12. A control device, characterized in that: The system comprises a processor and a memory storing a computer program, wherein when the processor executes the computer program, the steps of the filter dirty blockage determination method as claimed in any one of claims 1 to 11 are implemented.

13. A liquid cooling unit, characterized in that: The invention comprises a filter, other liquid flow components communicating with the filter, and the control device as claimed in claim 12.

14. An energy storage system, characterized in that: It comprises a liquid circulation system, wherein the liquid circulation system comprises the liquid cooling unit as claimed in claim 13.

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