Abnormality detection and processing method of cold plate type liquid cooling system and cold plate type liquid cooling system

Abstract

The invention relates to the technical field of thermal management of energy storage systems, particularly provides an anomaly detection and processing method for a cold plate type liquid cooling system, and aims to solve the problem that anomaly detection of an existing cold plate type liquid cooling system is inaccurate and not timely. In order to achieve the purpose, the anomaly detection and processing method for the cold plate type liquid cooling system comprises the steps that on one hand, anomaly detection is conducted based on real-time flow data, and on the other hand, further multi-dimensional detection is achieved in combination with the real-time flow data and real-time pressure difference data. Abnormality detection can be independently realized by adopting the real-time flow data, and the real-time flow data can be used for cooperatively verifying whether the real-time pressure difference data is abnormal or not under the condition that the real-time flow data is not detected to be abnormal, so that the accuracy and the timeliness of abnormality detection are improved, the abnormality can be timely found and processed, and the user experience is improved. And negative effects on thermal management of the energy storage system are avoided or reduced.

Description

Technical Field

[0001] The present disclosure relates to the technical field of thermal management of energy storage systems, and specifically provides an abnormality detection and processing method for a cold plate liquid cooling system and a cold plate liquid cooling system. Background Art

[0002] The containerized energy storage system is an energy storage solution that encapsulates battery packs and their supporting power conversion equipment in a standardized container. With its high integration and easy transportation and installation, the system has been widely used in many fields such as power peak regulation, smooth output of renewable energy, emergency backup power supply and power supply in remote areas. By adopting advanced battery technology and intelligent management systems, the containerized energy storage system can not only effectively improve energy utilization efficiency, but also significantly enhance the stability and reliability of the power grid.

[0003] At present, containerized energy storage systems mainly use cold plate liquid cooling systems to cool the battery packs in the battery pack. The cold plate liquid cooling system directly contacts the surface of the battery pack through circulating coolant to achieve efficient heat transfer, thereby keeping the operating temperature of the battery pack within an appropriate range. However, the transmission pipeline of the coolant is prone to abnormalities such as blockage or leakage. Once these abnormalities occur, not only will the cooling effect of the system be affected, resulting in an increased risk of battery overheating, but it may also cause safety hazards such as electrical short circuits, and in severe cases may even damage the normal operation of the entire energy storage system.

[0004] Therefore, there is an urgent need for an abnormality detection and processing method for a cold plate liquid cooling system and a cold plate liquid cooling system to solve the problem of inaccurate and untimely abnormality detection in the existing cold plate liquid cooling system. Summary of the invention

[0005] The present disclosure aims to solve the above technical problem, that is, to solve the problem of inaccurate and untimely abnormality detection of the existing cold plate liquid cooling system.

[0006] In a first aspect, the present disclosure provides an abnormality detection and processing method for a cold plate liquid cooling system, wherein the cold plate liquid cooling system is used for thermal management of a containerized energy storage system, and the cold plate liquid cooling system at least comprises: a plurality of cold plates arranged in cooperation with each energy storage unit in the containerized energy storage system, a transmission pipeline for cooperating with the cold plate to transport cooling liquid, a pump for driving the flow of cooling liquid, and a control subsystem; the method is applied to the control subsystem, and comprises: obtaining real-time flow data measured for any transmission pipeline section in the transmission pipeline; comparing the real-time flow data with a predefined flow data abnormal value range, and if the value of the real-time flow data falls within the flow data abnormal value range, If the value of the real-time flow data falls within the abnormal value range of the flow data, it is determined that the cold plate liquid cooling system has a blockage or leakage at any of the transmission pipeline sections; if the value of the real-time flow data does not fall within the abnormal value range of the flow data, the abnormal value range of the pressure difference data matching the real-time flow data is determined, and compared with the real-time pressure difference data measured at any of the transmission pipeline sections: if the value of the real-time pressure difference data falls within the abnormal value range of the pressure difference data, it is determined that the cold plate liquid cooling system has a blockage or leakage at any of the transmission pipeline sections; when it is determined that the cold plate liquid cooling system has a blockage or leakage at any of the transmission pipeline sections, a predefined exception handling operation is performed.

[0007] In some exemplary embodiments, the real-time flow data includes: the real-time flow value Q and the value of the flow change rate d△Q of any transmission pipeline section; the abnormal flow data value range includes: the abnormal flow value value range and the abnormal flow change rate value range; if the value of the real-time flow data falls into the abnormal flow data value range, it is determined that the cold plate liquid cooling system has a blockage or leakage at any transmission pipeline section, including: if the value of the real-time flow value Q falls into the abnormal flow value range, it is determined that the cold plate liquid cooling system has a blockage at any transmission pipeline section; wherein the flow value described by the abnormal flow value range is smaller than the normal flow value; if the value of the flow change rate d△Q falls into the abnormal flow change rate value range, it is determined that the cold plate liquid cooling system has any of a blockage or leakage at any transmission pipeline section; wherein the flow change rate described by the abnormal flow change rate value range is greater than the normal flow change rate.

[0008] In some exemplary embodiments, the real-time pressure difference data includes the real-time pressure difference value △P and the pressure difference change rate d△P of any transmission pipeline section; the pressure difference data abnormal value range includes: the pressure difference value blockage abnormal value range, the pressure difference value leakage abnormal value range and the pressure difference change rate abnormal value range; if the value of the real-time pressure difference data falls into the pressure difference data abnormal value range, it is determined that the cold plate liquid cooling system has a blockage or leakage at any transmission pipeline section, including: if the value of the real-time pressure difference value △P falls into the pressure difference value blockage abnormal value range, it is determined that the cold plate liquid cooling system has a blockage or leakage at any transmission pipeline section Blockage; wherein the pressure difference value described by the pressure difference value blockage abnormal value range is greater than the normal pressure difference value; if the value of the real-time pressure difference value △P falls within the pressure difference value leakage abnormal value range, it is determined that the cold plate type liquid cooling system has a leakage at any of the transmission pipeline sections; wherein the pressure difference value described by the pressure difference value leakage abnormal value range is less than the normal pressure difference value; if the value of the pressure difference change rate d△P falls within the pressure difference change rate abnormal value range, it is determined that the cold plate type liquid cooling system has either a blockage or a leakage at any of the transmission pipeline sections; wherein the pressure difference change rate described by the pressure difference change rate abnormal value range is greater than the normal pressure difference change rate.

[0009] In some exemplary embodiments, it also includes: obtaining automatic replenishment volume data for the coolant in the transmission pipeline; comparing the automatic replenishment volume data with a predefined abnormal replenishment volume value range, and if the value of the automatic replenishment volume data falls within the abnormal replenishment volume value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipeline sections.

[0010] In some exemplary embodiments, the automatic fluid replenishment volume data includes: the values ​​of a single fluid replenishment volume L and a total fluid replenishment number N within a preset time length; the abnormal fluid replenishment volume value range includes: an abnormal single fluid replenishment volume value range and an abnormal total fluid replenishment number value range; if the value of the automatic fluid replenishment volume data falls into the abnormal fluid replenishment volume value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipeline sections, including: if the value of the single fluid replenishment volume L falls into the abnormal single fluid replenishment volume value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipeline sections; wherein the single fluid replenishment volume described in the abnormal single fluid replenishment volume value range is greater than the normal single fluid replenishment volume; if the value of the total fluid replenishment number N falls into the abnormal total fluid replenishment number value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipeline sections; wherein the total fluid replenishment number described in the abnormal total fluid replenishment number value range is greater than the normal total fluid replenishment number corresponding to the preset time length.

[0011] In some exemplary embodiments, the real-time flow data corresponds to multiple flow data abnormal value ranges, and the multiple flow data abnormal value ranges correspond to different abnormal levels; the real-time pressure difference data corresponds to multiple pressure difference data abnormal value ranges, and the multiple pressure difference data abnormal value ranges correspond to different abnormal levels; the automatic fluid replenishment volume data corresponds to multiple fluid replenishment volume abnormal value ranges, and the multiple fluid replenishment volume abnormal value ranges correspond to different abnormal levels; the execution of a predefined exception handling operation includes: according to the abnormal level corresponding to the determined blockage or leakage, executing the exception handling operation corresponding to the abnormal level.

[0012] In some exemplary embodiments, any transmission pipeline section is located at at least one of the following locations: between the water inlet and the water outlet of a primary pipeline in the transmission pipeline; between the water inlet and the water outlet of any secondary pipeline in the transmission pipeline; between the water inlet and the water outlet of any tertiary pipeline in the transmission pipeline.

[0013] In a second aspect, the present disclosure provides a cold plate liquid cooling system for thermal management of a containerized energy storage system, the cold plate liquid cooling system comprising: a plurality of cold plates, respectively arranged in cooperation with each energy storage unit in the containerized energy storage system to cool the corresponding energy storage unit; a transmission pipeline, used to cooperate with the cold plate to transport cooling liquid; a pump, used to drive the flow of the cooling liquid; a control subsystem, comprising a flow measurement mechanism and a pressure difference measurement mechanism, and a processing mechanism, arranged at any transmission pipeline section in the transmission pipeline; wherein: the flow measurement mechanism is used to measure real-time flow data at any transmission pipeline section, the pressure difference measurement mechanism is used to measure real-time pressure difference data at any transmission pipeline section, and the processing mechanism is used to perform abnormality detection and processing by the method described in the first aspect.

[0014] In some exemplary embodiments, the system further includes: an automatic fluid replenishment mechanism, for automatically replenishing fluid into the cold plate liquid cooling system; wherein the processing mechanism is further used to: obtain automatic fluid replenishment volume data for the coolant in the transmission pipeline, and compare the automatic fluid replenishment volume data with a predefined abnormal fluid replenishment volume value range; if the value of the automatic fluid replenishment volume data falls within the abnormal fluid replenishment volume value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipeline sections.

[0015] In a third aspect, the present disclosure provides a computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, implement the steps of the method described in the first aspect.

[0016] Compared with the prior art, the present invention has the following beneficial effects:

[0017] The present disclosure is directed to a cold plate liquid cooling system. By measuring the real-time flow data of the transmission pipeline for conveying the coolant, anomaly detection can be performed directly based on the value of the real-time flow data. Furthermore, even if the anomaly cannot be detected based on the real-time flow data, the value of the real-time flow data can also be used to determine the abnormal value range of the pressure difference data, and then the anomaly detection can be performed in combination with the value of the real-time pressure difference data measured by the transmission pipeline. It can be seen that through the multi-stage and multi-dimensional anomaly detection scheme of the present disclosure, even if an anomaly cannot be detected in a single stage or a single dimension, "re-inspection" can be achieved based on other stages and other dimensions, so that anomalies that cannot be detected in a single stage or a single dimension can be detected in a timely manner, and the accuracy of anomaly detection can actually be improved as a whole. Moreover, based on this multi-stage and multi-dimensional anomaly detection scheme, in the process of detecting anomalies based on real-time flow data, there is no need to process the real-time pressure difference data, or even to measure the real-time pressure difference data, thereby helping to reduce the overhead caused by corresponding measurement, processing and other operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The preferred embodiments of the present disclosure are described below in conjunction with the accompanying drawings, in which:

[0019] Figure 1 A schematic diagram of the architecture of a cold plate liquid cooling system provided by at least one embodiment of the present disclosure;

[0020] Figure 2 A flowchart of a method for detecting and processing abnormalities in a cold plate liquid cooling system provided by at least one embodiment of the present disclosure;

[0021] Figure 3 is a schematic diagram of the architecture of another cold plate liquid cooling system provided by at least one embodiment of the present disclosure;

[0022] Figure 4 is a schematic diagram of abnormality detection for a cold plate liquid cooling system provided by at least one embodiment of the present disclosure;

[0023] Figure 5 is an architecture diagram of a device provided by at least one embodiment of the present disclosure;

[0024] Figure 6 It is a block diagram of an abnormality detection and processing device for a cold plate liquid cooling system provided by at least one embodiment of the present disclosure. DETAILED DESCRIPTION

[0025] The preferred embodiments of the present disclosure are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present disclosure and are not intended to limit the protection scope of the present disclosure.

[0026] It should be noted that in the description of the present disclosure, the terms "upper", "lower", "left", "right", "inner", "outer" and the like indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings, which are only for the convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present disclosure. In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0027] In addition, it should be noted that in the description of the present disclosure, unless otherwise clearly specified and limited, the terms "installation", "setting", and "connection" 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 direct connection, an indirect connection through an intermediate medium, or the internal connection of two elements. For those skilled in the art, the specific meanings of the above terms in the present disclosure can be understood according to specific circumstances.

[0028] One or more battery packs are usually deployed in a containerized energy storage system. Each battery pack usually contains multiple battery packs. Each battery pack contains multiple cells connected in series or in parallel. In this disclosure, a battery pack can be regarded as a basic energy storage unit; of course, this is only used as an example, and this disclosure does not limit the number of battery packs contained in each energy storage unit.

[0029] The cold plate liquid cooling system can be used for thermal management of the containerized energy storage system, such as dissipating heat from the above-mentioned energy storage unit. Based on different levels of understanding, the cold plate liquid cooling system can be regarded as part of the containerized energy storage system, or it can be regarded as an independent thermal management system, and the present disclosure does not limit this.

[0030] like Figure 1 As shown, the cold plate liquid cooling system may include: a plurality of cold plates 11, a transmission pipeline 12, a pump 13 and a control subsystem 14, which are used together to perform thermal management on each energy storage unit 20. In order to make the illustrated content more concise and clear, Figure 1 For the cold plate 11, transmission pipeline 12 and energy storage unit 20 that appear repeatedly, only one of them is marked, but those skilled in the art can clearly understand the meaning of the other unmarked graphics. For example, Figure 1 A total of six cold plates 11 and corresponding energy storage units 20 are shown, and each cold plate 11 is configured with a corresponding energy storage unit 20 . For example, the cold plate 11 may be located on the upper surface of the corresponding energy storage unit 20 to cool the corresponding energy storage unit 20 .

[0031] The cooling of the energy storage unit 20 by the cold plate 11 is mainly achieved based on the coolant flowing through the inside of the cold plate 11. The relatively low-temperature coolant flows into the cold plate 11 to cool down the energy storage unit 20 and absorb the heat from the energy storage unit 20, thereby forming a relatively high-temperature coolant and flowing out of the cold plate 11. Then, after being cooled, the relatively high-temperature coolant is reformed into a relatively low-temperature coolant, and the above cooling process for the energy storage unit 20 is repeated in a cycle.

[0032] The transmission pipeline 12 and the pump 13 are used to cooperate to realize the circulation of the coolant, wherein the transmission pipeline 12 is used to cooperate with the cold plate 11 to transport the coolant, and the pump 13 is used to drive the coolant to flow. Specifically, the pump 13 can pump relatively low-temperature coolant from the outside to the transmission pipeline 12, and then transport it to the cold plate 11 by the transmission pipeline 12. In addition, the relatively low-temperature coolant cools the energy storage unit 20 at the cold plate 11 and absorbs heat from the energy storage unit 20, thereby forming a relatively high-temperature coolant, which is then pumped to the outside by the pump 13 through the transmission pipeline 12, so as to be re-cooled to form the above-mentioned relatively low-temperature coolant.

[0033] If the number of energy storage unit 20 and cold plate 11 is only one, instead of Figure 1 If there are 6 or other numbers as shown, the structure of the transmission pipeline 12 will be relatively simple, and will only include one input pipeline and one output pipeline, wherein: one end of the input pipeline is connected to the input port A of the pump 13, and the other end is connected to the input port of the cold plate 11, so as to assist the pump 13 in transporting the relatively low-temperature coolant to the cold plate 11, and one end of the output pipeline is connected to the output port of the cold plate 11, and the other end is connected to the output port B of the pump 13, so as to assist the pump 13 in outputting the relatively high-temperature coolant from the cold plate 11 to the outside.

[0034] However, if there are multiple energy storage units 20, the structure of the transmission pipeline 12 may be relatively complex. Of course, if each energy storage unit 20 corresponds to a completely independent transmission pipeline 12 and pump 13, then the structure of each set of transmission pipelines 12 is similar to the above-described situation of "there is only one energy storage unit 20 and cold plate 11". However, for the sake of cost control and improving management concentration, a unified transmission pipeline 12 is usually used to match multiple energy storage units 20.

[0035] Typically, each energy storage unit 20 will be as follows Figure 1 In the manner shown, the mounting brackets are installed longitudinally in sequence in the container to form a plurality of longitudinal groups. Figure 1The six energy storage units 20 shown can be divided into two groups, that is, the three energy storage units 20 on the left belong to one group, and the three energy storage units 20 on the right belong to another group. Then, the transmission pipeline 12 can include a primary pipeline 121, a secondary pipeline 122 and a tertiary pipeline 123. Among them:

[0036] The primary pipeline 121 is directly connected to the pump 13, for example, the primary input pipeline 121a is connected to the input port A of the pump 13, and the primary output pipeline 121b is connected to the output port B of the pump 13. Its function is to cooperate with the pump 13 to input relatively low-temperature coolant into the system and output relatively high-temperature coolant from the system to the outside.

[0037] The number of the secondary pipelines 122 is consistent with the number of energy storage units 20. For example, Figure 1 If there are two groups of energy storage units 20, there are two sets of secondary pipelines 122. Each set of secondary pipelines 122 is independently connected to the primary pipeline 121, specifically connected to the primary input pipeline 121a through the secondary input pipeline 122a, so as to transport the relatively low-temperature coolant from the primary input pipeline 121a further toward the corresponding group of energy storage units 20, and connected to the primary output pipeline 121b through the secondary output pipeline 122b, so as to transport the relatively high-temperature coolant to the primary output pipeline 121b.

[0038] The number of the tertiary pipelines 123 is consistent with the number of the energy storage units 20. For example, Figure 1 The tertiary pipeline 123 includes 6 sets of tertiary pipelines 123, which correspond to 6 energy storage units 20. Each set of tertiary pipelines 123 is independently connected to the secondary pipelines 122 corresponding to the group in which it is located, specifically connected to the secondary input pipeline 122a of the corresponding secondary pipeline 122 through the tertiary input pipeline 123a, so as to transport the relatively low-temperature coolant from the secondary input pipeline 122a to the cold plate 11 connected to it, and connected to the secondary output pipeline 122b of the corresponding secondary pipeline 122 through the tertiary output pipeline 123b, so as to transport the relatively high-temperature coolant from the cold plate 11 connected to it to the secondary output pipeline 122b.

[0039] Leakage may occur at the connection between the transmission pipeline 12 and the pump 13, the connection between the transmission pipeline 12 and the cold plate 11, or at various joints inside the transmission pipeline 12 (such as the connection between the pipelines at each level). Furthermore, the transmission pipeline 12 and the cold plate 11 may also be blocked at any position, especially at relatively narrow or curved places, due to rust particles generated by their own corrosion, impurities contained in the coolant, etc. However, existing technologies often make it difficult to detect these anomalies in a timely and accurate manner.

[0040] In view of this, the embodiments of the present disclosure provide a cold plate liquid cooling system and an abnormality detection and processing method implemented thereby, which can implement multi-level and multi-dimensional abnormality detection through the above-mentioned control subsystem 14, timely and accurately detect abnormalities caused by leakage or blockage in the liquid cooling system, and then implement rapid processing to avoid or reduce the negative impact on the energy storage business.

[0041] The cold plate liquid cooling system and the corresponding abnormality detection and processing method provided in the embodiments of the present disclosure are introduced below.

[0042] As mentioned above, the cold plate liquid cooling system of the present disclosure includes an improved control subsystem 14, including a flow measurement mechanism 141 and a pressure difference measurement mechanism 142, and a processing mechanism 140, which are arranged at any transmission pipeline section in the transmission pipeline 12. The flow measurement mechanism 141 is used to measure the real-time flow data at any transmission pipeline section, and the pressure difference measurement mechanism 142 is used to measure the real-time pressure difference data at any transmission pipeline section.

[0043] The flow measurement mechanism 141 may include any sensor or device that can be used to measure the real-time flow data at any of the transmission pipeline sections. For example, the flow measurement mechanism 141 may be a flow sensor. Similarly, the differential pressure measurement mechanism 142 may include any sensor or device that can be used to measure the real-time differential pressure data at any of the transmission pipeline sections. For example, the differential pressure measurement mechanism 142 may include a first pressure sensor 142a respectively arranged at the input port A of the pump 13 and a second pressure sensor 142b (corresponding to the coolant circuit at the system level described below) arranged at the output port B of the pump 13, and the processing mechanism 140 may obtain the real-time differential pressure data by performing a difference calculation on the pressure values ​​respectively measured by the two. For another example, the differential pressure measurement mechanism 142 may also include a differential pressure sensor, which can directly output the real-time differential pressure data without the cooperation of the processing mechanism 140.

[0044] The any transmission pipeline section may be located, for example, at least one of the following locations: between the water inlet and the water outlet of the primary pipeline in the transmission pipeline; Figure 1 For example, it is equivalent to the system-level coolant circuit composed of the entire transmission pipeline 12 and all cold plates 11; between the water inlet and the water outlet of any secondary pipeline in the transmission pipeline, that is, the group-level coolant circuit composed of the secondary pipeline corresponding to a group of energy storage units, all tertiary pipelines and all cold plates; between the water inlet and the water outlet of any tertiary pipeline in the transmission pipeline, that is, the unit-level coolant circuit composed of the tertiary pipeline corresponding to a certain energy storage unit and the cold plate.

[0045] Then, when implementing the cold plate liquid cooling system disclosed in the present invention, a person skilled in the art may choose to detect the above-mentioned system-level coolant circuit according to actual needs, or may detect one or more group-level coolant circuits, or may detect one or more unit-level coolant circuits, and the present disclosure does not limit this. Even, detection of the coolant circuits at the system level, group level, and unit level may be deployed simultaneously, but during specific operation, only the detection of the coolant circuit at the system level may be started during daily operation, and when an abnormality is found, the detection of the coolant circuit at the group level may be started to determine the group with the abnormality, and then the detection of the coolant circuit at the unit level may be started for the group with the abnormality. In this way, the detection overhead may be minimized during daily operation, and after an abnormality occurs, the range of the abnormal point may be gradually narrowed until accurate positioning is achieved.

[0046] The processing mechanism 140 may include any type of processing device or processing module, which may run a computer program based on a general-purpose processor such as a CPU to implement the processing logic of the abnormality detection and processing method disclosed herein. Of course, the processing mechanism 140 may also include a dedicated processor or a programmable logic device (PLD) such as an FPGA (Field Programmable Gate Array) with the above-mentioned processing logic burned in, and the present disclosure is not limited to this.

[0047] Based on the above cold plate liquid cooling system, Figure 2 A flowchart of an abnormality detection and processing method implemented by the processing mechanism 140 is shown. The method may include the following steps:

[0048] Step 202: acquiring real-time flow data measured for any transmission pipeline section in the transmission pipeline.

[0049] As mentioned above, this can be done by Figure 1 The flow measurement mechanism 141 shown acquires real-time flow data, wherein the real-time flow data may refer to any data that can describe the real-time flow of any of the above transmission pipeline sections, such as one or more of the real-time flow value Q, flow change rate d△Q and other physical quantities.

[0050] Step 204, compare the real-time flow data with a predefined flow data abnormal value range. If the value of the real-time flow data falls within the flow data abnormal value range, it is determined that the cold plate liquid cooling system has a blockage or leakage at any of the transmission pipeline sections.

[0051] In this embodiment, it is possible to judge whether any transmission pipeline section has blockage or leakage based on real-time flow data. The abnormal flow data value range is a predetermined value range. For different transmission pipeline sections in the same cold plate liquid cooling system, the corresponding abnormal flow data value ranges are independent of each other and often differ. For different cold plate liquid cooling systems, if there are differences in the system structures, the corresponding abnormal flow data value ranges between the transmission pipeline sections in different systems should also be considered independent of each other and often differ.

[0052] There are many ways to determine the abnormal value range of flow data. For example, the cold plate liquid cooling system of the present invention can be tested in advance, so as to determine the value range of the corresponding flow data when there is a blockage or leakage at any transmission pipeline section based on the test results, as the above-mentioned abnormal value range of flow data. For another example, the historical data of the cold plate liquid cooling system of the present invention or a cold plate liquid cooling system with the same or similar structure, especially the historical data corresponding to the actual abnormalities that have occurred, can be analyzed by data mining and other methods to determine the above-mentioned abnormal value range of flow data. Of course, the abnormal value range of flow data can also be determined by other methods, and the present disclosure does not limit this.

[0053] Assuming that the real-time flow data includes: the real-time flow value Q and the value of the flow change rate d△Q of any transmission pipeline section, the corresponding abnormal flow data value range includes: the abnormal flow value value range and the abnormal flow change rate value range. Then:

[0054] In one embodiment, it is possible to determine whether any of the transmission pipeline sections is blocked based on the real-time flow value Q. For example, if the value of the real-time flow value Q falls within the abnormal flow value range, it is determined that the cold plate liquid cooling system is blocked at any of the transmission pipeline sections; wherein the flow value described by the abnormal flow value range is smaller than the normal flow value.

[0055] Taking a cold plate liquid cooling system of a specific structure as an example, it is assumed that the cold plate liquid cooling system contains any of the above-mentioned transmission pipeline sections, and the standard flow value (i.e., normal flow value) of any of the transmission pipeline sections under normal circumstances is Q0, and the determined abnormal flow value range is [0, 0.95Q0). Then, if the value of the real-time flow value Q satisfies 0≤Q<0.95Q0, it can be determined that any of the transmission pipeline sections is blocked; and if the value of the real-time flow value Q satisfies Q>0.95Q0, it is necessary to further combine other real-time flow data or other types of parameters (such as the real-time pressure difference data, automatic liquid replenishment data, etc. described below) for further judgment.

[0056] In another embodiment, it is possible to determine whether any of the transmission pipeline sections is blocked or leaked based on the flow rate change rate d△Q, that is, it is possible to determine that any of the transmission pipeline sections must be abnormal, but it is impossible to determine whether the abnormality is a blockage or a leak. For example, if the value of the flow rate change rate d△Q falls within the abnormal flow rate change value range, it is determined that the cold plate liquid cooling system has a blockage or a leak at any of the transmission pipeline sections; wherein the flow rate change rate described in the abnormal flow rate change value range is greater than the normal flow rate change rate.

[0057] Taking a cold plate liquid cooling system of a specific structure as an example, assuming that the cold plate liquid cooling system includes any of the above-mentioned transmission pipeline sections, and the flow value change rate (i.e., normal flow change rate) of any of the transmission pipeline sections under normal circumstances is less than 8.0 LPM (L iter Per Minute, liters / minute), then the abnormal flow change rate value range determined is [8.0, +∞). Then, if the value of the real-time flow value Q satisfies d△Q≥8.0 LPM, it can be determined that any of the transmission pipeline sections is blocked or leaking; and if the value of the real-time flow value Q satisfies d△Q<8.0 LPM, it is necessary to further combine other real-time flow data or other types of parameters (such as the real-time pressure difference data, automatic liquid replenishment data, etc. described below) for further judgment.

[0058] If the real-time flow data includes both the real-time flow value Q and the flow change rate d△Q of any transmission pipeline section, then: as long as the real-time flow value Q falls within the abnormal flow value range, or the flow change rate d△Q falls within the abnormal flow change rate range, a judgment can be made based on the above embodiment, and the two are relatively independent.

[0059] Step 206, if the value of the real-time flow data does not fall within the abnormal value range of the flow data, determine the abnormal value range of the pressure difference data that matches the real-time flow data, and compare it with the real-time pressure difference data measured at any of the transmission pipeline sections: if the value of the real-time pressure difference data falls within the abnormal value range of the pressure difference data, it is determined that the cold plate liquid cooling system has a blockage or leakage at any of the transmission pipeline sections.

[0060] As mentioned above, the value of the real-time flow data may not fall within the abnormal value range of the flow data, but this may be because there is no abnormality in any transmission pipeline section, or it may be because the abnormality in any transmission pipeline section is not reflected in the value of the real-time flow data. Therefore, it can be further judged in combination with the real-time pressure difference data.

[0061] The combination of real-time flow data and real-time differential pressure data is reflected in that the value of real-time flow data can be used to determine the abnormal value range of the above-mentioned differential pressure data. In other words, the value of real-time flow data can not only be used alone to determine whether there is an abnormality in any of the transmission pipeline sections, but can also be used in conjunction with the real-time differential pressure data to make further judgments on whether there is an abnormality in any of the transmission pipeline sections. Therefore, the real-time flow data and the real-time differential pressure data respectively characterize the real-time status of any transmission pipeline section from different dimensions, so that the present disclosure can judge whether there is an abnormality in any of the transmission pipeline sections from multiple dimensions. No matter which dimension identifies the abnormality, it is equivalent to making up for the possible misjudgment or missed judgment in another dimension, thereby improving the timeliness and accuracy of abnormality detection in the final result.

[0062] At the same time, based on the coordination relationship between real-time flow data and real-time pressure difference data, the present invention first makes a judgment based on the real-time flow data, and then makes a judgment based on the real-time pressure difference data when no abnormality is detected, thereby realizing a multi-level abnormality detection scheme, which can not only improve the timeliness and accuracy of abnormality detection, but also once the real-time flow data can detect the abnormality, it is no longer necessary to continue to combine the real-time pressure difference data for detection, so that in the process of detecting abnormality based on real-time flow data, there is no need to process the real-time pressure difference data, and there is no need to measure the real-time pressure difference data. The real-time pressure difference data can be measured or processed only when needed, thereby helping to reduce the overhead caused by corresponding measurement, processing and other operations.

[0063] As mentioned above, this can be done by Figure 1 The pressure difference measuring mechanism 142 shown acquires real-time pressure difference data, wherein the real-time pressure difference data may refer to any data that can describe the real-time pressure difference of any of the above transmission pipeline sections, such as one or more of the real-time pressure difference value ΔP, pressure difference change rate dΔP and other physical quantities.

[0064] Assuming that the real-time differential pressure data includes the real-time differential pressure value △P and the differential pressure change rate d△P of any transmission pipeline section, the corresponding differential pressure data abnormal value range includes: the differential pressure value blockage abnormal value range, the differential pressure value leakage abnormal value range and the differential pressure change rate abnormal value range. Then:

[0065] In one embodiment, if the value of the real-time pressure difference value △P falls within the pressure difference value blockage abnormal value range, it is determined that the cold plate liquid cooling system is blocked at any of the transmission pipeline sections; wherein the pressure difference value described by the pressure difference value blockage abnormal value range is greater than the normal pressure difference value.

[0066] Taking a cold plate liquid cooling system with a specific structure as an example, assuming that the cold plate liquid cooling system includes any of the above-mentioned transmission pipeline sections, a mapping relationship between the standard pressure difference value (i.e., normal pressure difference value) of any transmission pipeline section under normal circumstances and the real-time flow data (such as real-time flow value Q or flow change rate d△Q) can be generated in advance. For example, through curve fitting and the like, a change curve of the standard pressure difference value of any transmission pipeline section under normal circumstances relative to the real-time flow data can be determined, so that the corresponding standard pressure difference value can be determined based on the above-mentioned real-time flow data, and then the corresponding abnormal value range of the pressure difference data can be determined.

[0067] For example, if the standard pressure difference value of any transmission pipeline section under normal conditions is determined to be △P0 according to the real-time flow data, the corresponding pressure difference value blockage abnormality value range can be [1.05△P0, +∞). Then, if the real-time pressure difference value △P satisfies △P>1.05△P0, it can be determined that there is a blockage at any transmission pipeline section.

[0068] In another embodiment, if the value of the real-time pressure difference value △P falls into the pressure difference value leakage abnormal value range, it is determined that the cold plate liquid cooling system has a leakage at any of the transmission pipeline sections; wherein the pressure difference value described by the pressure difference value leakage abnormal value range is smaller than the normal pressure difference value.

[0069] For example, if the standard pressure difference value of any transmission pipeline section under normal conditions is determined to be △P0 according to the real-time flow data, the corresponding pressure difference value blockage abnormality value range can be [0, 0.8△P0). Then, if the value of the real-time pressure difference value △P satisfies △P<0.8△P0, it can be determined that there is a blockage at any transmission pipeline section.

[0070] In another embodiment, if the value of the pressure difference change rate d△P falls within the abnormal pressure difference change rate value range, it is determined that the cold plate liquid cooling system has either blockage or leakage at any of the transmission pipeline sections; wherein the pressure difference change rate described by the abnormal pressure difference change rate value range is greater than the normal pressure difference change rate.

[0071] For example, if it is determined based on the real-time flow data that the standard differential pressure change rate (i.e., normal differential pressure change rate) of any transmission pipeline section under normal conditions is less than 8.0 kpa / s, then the corresponding abnormal differential pressure change rate value range may be [8.0, +∞). Then, if the differential pressure change rate d△P satisfies d△P≥8.0 kpa / s, it can be determined that there is a blockage or leakage at any transmission pipeline section.

[0072] In addition to the above-mentioned abnormality detection based on real-time flow data and real-time pressure difference data, the technical solution of the present disclosure can also be further implemented in combination with automatic fluid replenishment volume data.

[0073] From the perspective of system architecture, Figure 1 The cold plate liquid cooling system shown is based on Figure 5 As shown, the cold plate liquid cooling system may further include: an automatic liquid replenishing mechanism 15, which is used to automatically replenish liquid into the cold plate liquid cooling system. Specifically, if any of the above-mentioned transmission pipeline sections is a system-level coolant loop, the automatic liquid replenishing mechanism 15 may include a liquid replenishing pump 150 and a liquid replenishing pipeline 151. The liquid replenishing pump 150 can input the coolant used for liquid replenishment into the transmission pipeline 12 via the liquid replenishing pipeline 151, for example Figure 5 Specifically, the first-level input pipeline 121a in the first-level pipeline 121 is input thereto, but the present disclosure is not limited to this.

[0074] Correspondingly, the processing mechanism 14 is also used to: obtain automatic fluid replenishment volume data for the coolant in the transmission pipeline 12, and compare the automatic fluid replenishment volume data with a predefined abnormal fluid replenishment volume value range. If the value of the automatic fluid replenishment volume data falls within the abnormal fluid replenishment volume value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipeline sections.

[0075] For example, the processing mechanism 14 may include a fluid replenishment amount measuring mechanism, and measure the above-mentioned automatic fluid replenishment amount data accordingly. The fluid replenishment amount measuring mechanism may include any sensor or device that can be used to measure the fluid replenishment amount, such as a flow sensor 143 disposed on the fluid replenishment pipeline 151, or a liquid level sensor disposed in a supplementary coolant storage tank (storing coolant for fluid replenishment), etc., and the present disclosure is not limited to this.

[0076] Assuming that the automatic fluid replenishment volume data includes: the single fluid replenishment volume L and the total number of fluid replenishment times N within a preset time, the corresponding fluid replenishment volume abnormal value range may include: the single fluid replenishment volume abnormal value range and the total number of fluid replenishment times abnormal value range. Then:

[0077] In one embodiment, if the value of the single fluid replenishment volume L falls within the abnormal single fluid replenishment volume value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipe sections; wherein the single fluid replenishment volume described by the abnormal single fluid replenishment volume value range is greater than the normal single fluid replenishment volume.

[0078] Taking a cold plate liquid cooling system of a specific structure as an example, assuming that the value of the single liquid replenishment volume under normal circumstances (i.e., the normal single liquid replenishment volume) is less than 2.0L, the determined single liquid replenishment volume abnormal value range is [2.0, +∞). Then, if the value of the single liquid replenishment volume L satisfies L≥2.0, it can be determined that there is a leak in any transmission pipeline section.

[0079] In another embodiment, if the value of the total number of fluid replenishments N falls within the abnormal value range of the total number of fluid replenishments, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipe sections; wherein the total number of fluid replenishments described by the abnormal value range of the total number of fluid replenishments is greater than the normal total number of fluid replenishments corresponding to the preset time length.

[0080] Taking a cold plate liquid cooling system of a specific structure as an example, assuming that the total number of refills under normal circumstances (i.e., the normal total number of refills) is less than 2 / 12h (i.e., the total number of refills within 12 hours is less than 2), the abnormal value range of the total number of refills determined is [2, +∞). Then, if the value of the total number of refills N within 12 hours satisfies N≥2, it can be determined that there is a leak in any transmission pipeline section.

[0081] It can be seen that as a supplement to the aforementioned embodiment, that is, based on the real-time flow data and the real-time pressure difference data, the automatic fluid replenishment volume data can provide a basis for judgment in more dimensions. Therefore, when the abnormality cannot be detected in the flow and pressure difference dimensions, it is still possible to identify the abnormality based on the fluid replenishment volume, which helps to further improve the timeliness and accuracy of detecting abnormal conditions.

[0082] Step 208 : When it is determined that the cold plate type liquid cooling system has a blockage or leakage at any of the transmission pipeline sections, a predefined abnormality handling operation is performed.

[0083] In one embodiment, for the case where the detection result is abnormal, the specific abnormal type may not be distinguished, and the abnormality may be handled according to a unified abnormality handling operation. For example, the relevant operation and maintenance personnel may be notified for remote or on-site confirmation. For another example, the automatic processing may be performed according to a predefined processing strategy, such as only alarming, retaining only the core business organization and closing other organizations, stopping the system from running, etc., and the present disclosure does not limit this. Of course, if the detection result can distinguish between blockage and leakage, different processing strategies may be adopted for the blockage and leakage situations respectively.

[0084] In the above-mentioned embodiment, based on one or more data of real-time flow data, real-time pressure difference data and automatic fluid replenishment data, on the basis of determining whether any of the transmission pipeline sections is abnormal, according to the specific values ​​of the relevant data, the abnormal level can also be specifically identified, so that according to the abnormal level corresponding to the determined blockage or leakage, the abnormal handling operation corresponding to the abnormal level is performed. For example, the real-time flow data can correspond to multiple abnormal value ranges of flow data, and the multiple abnormal value ranges of flow data correspond to different abnormal levels, so based on the value range of the real-time flow data, the corresponding abnormal level can be determined. For another example, the real-time pressure difference data can correspond to multiple abnormal value ranges of pressure difference data, and the multiple abnormal value ranges of pressure difference data correspond to different abnormal levels, so based on the value range of the real-time pressure difference data, the corresponding abnormal level can be determined. For another example, the automatic fluid replenishment data can correspond to multiple abnormal value ranges of fluid replenishment, and the multiple abnormal value ranges of fluid replenishment correspond to different abnormal levels, so based on the value range of the automatic fluid replenishment data, the corresponding abnormal level can be determined.

[0085] For example, the abnormal level can be set to three levels, namely low risk level, medium risk level and high risk level, which is of course not limited in the present disclosure. Specifically, in combination with the exemplary abnormal value ranges given in the above embodiments, it can be set according to the following Table 1.

[0086] Table 1

[0087] For the real-time flow value Q, the aforementioned flow value abnormal value range [0, 0.95Q0) is further divided into three ranges: [0.85Q0, 0.95Q0), [0.70Q0, 0.85Q0) and [0, 0.70Q0), which correspond to low risk level, medium risk level and high risk level respectively, so as to achieve more detailed anomaly detection and facilitate the determination of more appropriate processing strategies.

[0088] Similarly, for the flow rate change rate d△Q, the abnormal flow rate change value range [8.0, +∞) is further divided into two ranges [8.0, 15.0) and [15.0, +∞), corresponding to the medium risk level and high risk level respectively. In addition, the real-time pressure difference value △P, the pressure difference change rate d△P, the single fluid infusion volume L and the total number of fluid infusions N within the preset time are also similar. You can refer to the contents listed in Table 1, which will not be repeated here.

[0089] In short, if Figure 4As shown, the abnormality detection and processing method of the cold plate liquid cooling system provided by the present disclosure can realize multi-level and multi-dimensional abnormality detection: at the first level, abnormality detection ① can be realized based on the real-time flow data alone to obtain abnormality detection results; at the second level, the abnormal value range of the matching pressure difference data can be determined based on the real-time flow data, and abnormality detection ② can be realized based on the real-time pressure difference data to obtain abnormality detection results; and, as an independent level, abnormality detection ③ can also be realized based on the automatic liquid replenishment volume data to obtain abnormality detection results. Moreover, the abnormality detection of the above-mentioned various levels realizes detection from different dimensions respectively, which can make up for each other's shortcomings. As long as a difference is detected in a certain dimension, the ultimate goal of abnormality detection can be achieved.

[0090] In summary, the present disclosure is directed to a cold plate liquid cooling system, and by measuring the real-time flow data of the transmission pipeline for conveying the coolant, anomaly detection can be performed directly based on the value of the real-time flow data. Moreover, even if the anomaly cannot be detected based on the real-time flow data, the value of the real-time flow data can also be used to determine the abnormal value range of the pressure difference data, and then the anomaly detection can be performed in combination with the value of the real-time pressure difference data measured by the transmission pipeline. It can be seen that through the multi-stage and multi-dimensional anomaly detection scheme of the present disclosure, even if a single stage or a single dimension fails to detect the anomaly, "re-inspection" can be achieved based on other stages and other dimensions, so that the anomaly that cannot be detected in a single stage or a single dimension can be detected in time, and the accuracy of anomaly detection can actually be improved as a whole. Moreover, based on this multi-stage and multi-dimensional anomaly detection scheme, in the process of detecting anomaly based on real-time flow data, there is no need to process the real-time pressure difference data, or even to measure the real-time pressure difference data, which helps to reduce the overhead caused by the corresponding measurement, processing and other operations.

[0091] Figure 5 is a schematic structural diagram of a device provided by an exemplary embodiment. Figure 5 At the hardware level, the device includes a processor 502, an internal bus 504, a network interface 506, a memory 508, and a non-volatile memory 510, and may also include hardware required for other functions. One or more embodiments of this specification may be implemented based on software, such as the processor 502 reading the corresponding computer program from the non-volatile memory 510 into the memory 508 and then running it. Of course, in addition to the software implementation, one or more embodiments of this specification do not exclude other implementations, such as logic devices or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0092] Please refer to Figure 6The abnormality detection and processing device of the cold plate liquid cooling system can be applied to Figure 5 The cold plate liquid cooling system is used for thermal management of the containerized energy storage system, and the cold plate liquid cooling system at least comprises: a plurality of cold plates arranged in cooperation with each energy storage unit in the containerized energy storage system, a transmission pipeline for conveying coolant in cooperation with the cold plates, a pump for driving the flow of coolant, and a control subsystem; the device is applied to the control subsystem and may include:

[0093] A flow data acquisition unit 601 is used to acquire real-time flow data measured for any transmission pipeline section in the transmission pipeline;

[0094] The first abnormality determination unit 602 compares the real-time flow data with a predefined abnormal flow data value range, and if the value of the real-time flow data falls within the abnormal flow data value range, determines that the cold plate liquid cooling system has a blockage or leakage at any transmission pipeline section;

[0095] The second abnormality determination unit 603 determines an abnormal value range of pressure difference data matching the real-time flow data if the value of the real-time flow data does not fall within the abnormal value range of the flow data, and compares it with the real-time pressure difference data measured at any transmission pipeline section: if the value of the real-time pressure difference data falls within the abnormal value range of pressure difference data, it is determined that the cold plate type liquid cooling system has a blockage or leakage at any transmission pipeline section;

[0096] The exception handling unit 604 performs a predefined exception handling operation when it is determined that the cold plate type liquid cooling system has a blockage or leakage at any of the transmission pipeline sections.

[0097] Optionally, the real-time flow data includes: the real-time flow value Q and the value of the flow change rate d△Q of any transmission pipeline section; the abnormal value range of the flow data includes: the abnormal value range of the flow value and the abnormal value range of the flow change rate;

[0098] The first abnormality determination unit 602 is specifically used for:

[0099] If the value of the real-time flow value Q falls within the abnormal flow value range, it is determined that the cold plate liquid cooling system is blocked at any of the transmission pipeline sections; wherein the flow value described by the abnormal flow value range is smaller than the normal flow value;

[0100] If the value of the flow change rate d△Q falls within the abnormal flow change rate value range, it is determined that the cold plate liquid cooling system has either blockage or leakage at any of the transmission pipeline sections; wherein the flow change rate described by the abnormal flow change rate value range is greater than the normal flow change rate.

[0101] Optionally, the real-time differential pressure data includes the real-time differential pressure value △P and the value of the differential pressure change rate d△P of any transmission pipeline section; the abnormal value range of the differential pressure data includes: the abnormal value range of the differential pressure value blockage, the abnormal value range of the differential pressure value leakage and the abnormal value range of the differential pressure change rate;

[0102] The second abnormality determination unit 603 is specifically used for:

[0103] If the value of the real-time pressure difference value △P falls within the pressure difference value blockage abnormal value range, it is determined that the cold plate liquid cooling system is blocked at any of the transmission pipeline sections; wherein the pressure difference value described by the pressure difference value blockage abnormal value range is greater than the normal pressure difference value;

[0104] If the value of the real-time pressure difference value △P falls within the pressure difference value leakage abnormal value range, it is determined that the cold plate liquid cooling system has a leakage at any of the transmission pipeline sections; wherein the pressure difference value described by the pressure difference value leakage abnormal value range is smaller than the normal pressure difference value;

[0105] If the value of the pressure difference change rate d△P falls within the abnormal pressure difference change rate value range, it is determined that the cold plate liquid cooling system has either blockage or leakage at any of the transmission pipeline sections; wherein the pressure difference change rate described by the abnormal pressure difference change rate value range is greater than the normal pressure difference change rate.

[0106] Optionally, also include:

[0107] A liquid replenishment volume data acquisition unit 605 is used to acquire automatic liquid replenishment volume data of the coolant in the transmission pipeline;

[0108] The third abnormality determination unit 606 compares the automatic fluid replenishment volume data with a predefined abnormal fluid replenishment volume value range. If the value of the automatic fluid replenishment volume data falls within the abnormal fluid replenishment volume value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipeline sections.

[0109] Optionally, the automatic fluid replenishment volume data includes: the value of a single fluid replenishment volume L and a total number of fluid replenishment times N within a preset time length; the abnormal fluid replenishment volume value range includes: an abnormal single fluid replenishment volume value range and an abnormal total number of fluid replenishment times value range;

[0110] The third abnormality determination unit 606 is specifically used for:

[0111] If the value of the single liquid replenishment volume L falls within the single liquid replenishment volume abnormal value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipe sections; wherein the single liquid replenishment volume described by the single liquid replenishment volume abnormal value range is greater than the normal single liquid replenishment volume;

[0112] If the value of the total number of fluid replenishments N falls within the abnormal value range of the total number of fluid replenishments, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipe sections; wherein the total number of fluid replenishments described by the abnormal value range of the total number of fluid replenishments is greater than the normal total number of fluid replenishments corresponding to the preset time length.

[0113] Optional,

[0114] The real-time traffic data respectively correspond to a plurality of traffic data abnormal value ranges, and the plurality of traffic data abnormal value ranges respectively correspond to different abnormal levels;

[0115] The real-time pressure difference data respectively correspond to a plurality of pressure difference data abnormal value ranges, and the plurality of pressure difference data abnormal value ranges respectively correspond to different abnormal levels;

[0116] The automatic fluid replenishment volume data respectively correspond to a plurality of fluid replenishment volume abnormal value ranges, and the plurality of fluid replenishment volume abnormal value ranges respectively correspond to different abnormal levels;

[0117] The exception handling unit 604 is specifically used for:

[0118] According to the abnormality level corresponding to the determined blockage or leakage, an abnormality handling operation corresponding to the abnormality level is performed.

[0119] Optionally, any one of the transmission pipeline sections is located at at least one of the following locations:

[0120] Between the water inlet and the water outlet of the primary pipeline in the transmission pipeline;

[0121] Between the water inlet and the water outlet of any secondary pipeline in the transmission pipeline;

[0122] Between the water inlet and the water outlet of any tertiary pipeline in the transmission pipeline.

[0123] The present disclosure also proposes a computer-readable storage medium on which computer instructions are stored. When the instructions are executed by a processor, the steps described in any of the above embodiments are implemented to realize the processing logic of the abnormality detection and processing method of the cold plate liquid cooling system of the present disclosure.

[0124] There are a few points to note:

[0125] (1) The drawings of the embodiments of the present disclosure only relate to the structures related to the embodiments of the present disclosure, and other structures may refer to the general design.

[0126] (2) For the sake of clarity, in the drawings used to describe the embodiments of the present disclosure, the thickness of layers or regions is enlarged or reduced, that is, these drawings are not drawn according to the actual scale.

[0127] (3) In the absence of conflict, the embodiments of the present disclosure and the features therein may be combined with each other to obtain new embodiments.

[0128] The above is only a specific implementation of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present disclosure, which should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A method for detecting and processing abnormalities in a cold plate liquid cooling system, characterized in that: The cold plate liquid cooling system is used for thermal management of a containerized energy storage system. The cold plate liquid cooling system comprises at least: a plurality of cold plates arranged in cooperation with each energy storage unit in the containerized energy storage system, a transmission pipeline for conveying coolant in cooperation with the cold plates, a pump for driving the flow of coolant, and a control subsystem; the method is applied to the control subsystem, comprising: Acquiring real-time flow data measured for any transmission pipeline section in the transmission pipeline; Compare the real-time flow data with a predefined abnormal flow data value range, and if the value of the real-time flow data falls within the abnormal flow data value range, determine that the cold plate type liquid cooling system has a blockage or leakage at any of the transmission pipeline sections; If the value of the real-time flow data does not fall within the abnormal value range of the flow data, then determine the abnormal value range of the pressure difference data that matches the real-time flow data, and compare it with the real-time pressure difference data measured at any transmission pipeline section: if the value of the real-time pressure difference data falls within the abnormal value range of the pressure difference data, then determine that the cold plate type liquid cooling system has a blockage or leakage at any transmission pipeline section; When it is determined that the cold plate type liquid cooling system has a blockage or leakage at any of the transmission pipeline sections, a predefined abnormality handling operation is performed.

2. The method according to claim 1, characterized in that The real-time flow data includes: the real-time flow value Q and the value of the flow change rate d△Q of any transmission pipeline section; the abnormal value range of the flow data includes: the abnormal value range of the flow value and the abnormal value range of the flow change rate; If the value of the real-time flow data falls within the abnormal flow data value range, it is determined that the cold plate liquid cooling system has a blockage or leakage at any transmission pipeline section, including: If the value of the real-time flow value Q falls within the abnormal flow value range, it is determined that the cold plate liquid cooling system is blocked at any of the transmission pipeline sections; wherein the flow value described by the abnormal flow value range is smaller than the normal flow value; If the value of the flow change rate d△Q falls within the abnormal flow change rate value range, it is determined that the cold plate liquid cooling system has either blockage or leakage at any of the transmission pipeline sections; wherein the flow change rate described by the abnormal flow change rate value range is greater than the normal flow change rate.

3. The method according to claim 1, characterized in that The real-time differential pressure data includes the real-time differential pressure value △P and the value of the differential pressure change rate d△P of any transmission pipeline section; the abnormal value range of the differential pressure data includes: the abnormal value range of the differential pressure value blockage, the abnormal value range of the differential pressure value leakage and the abnormal value range of the differential pressure change rate; If the value of the real-time pressure difference data falls within the abnormal value range of the pressure difference data, it is determined that the cold plate liquid cooling system has a blockage or leakage at any of the transmission pipeline sections, including: If the value of the real-time pressure difference value △P falls within the pressure difference value blockage abnormal value range, it is determined that the cold plate liquid cooling system is blocked at any of the transmission pipeline sections; wherein the pressure difference value described by the pressure difference value blockage abnormal value range is greater than the normal pressure difference value; If the value of the real-time pressure difference value △P falls within the pressure difference value leakage abnormal value range, it is determined that the cold plate liquid cooling system has a leakage at any of the transmission pipeline sections; wherein the pressure difference value described by the pressure difference value leakage abnormal value range is smaller than the normal pressure difference value; If the value of the pressure difference change rate d△P falls within the abnormal pressure difference change rate value range, it is determined that the cold plate liquid cooling system has either blockage or leakage at any of the transmission pipeline sections; wherein the pressure difference change rate described by the abnormal pressure difference change rate value range is greater than the normal pressure difference change rate.

4. The method according to claim 2 or 3, characterized in that: Also includes: Acquiring automatic liquid replenishment data for the coolant in the transmission pipeline; The automatic liquid replenishment volume data is compared with a predefined abnormal liquid replenishment volume value range. If the value of the automatic liquid replenishment volume data falls within the abnormal liquid replenishment volume value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipeline sections.

5. The method according to claim 4, characterized in that The automatic fluid replenishment volume data includes: the value of a single fluid replenishment volume L and the total number of fluid replenishment times N within a preset time length; the abnormal fluid replenishment volume value range includes: the abnormal single fluid replenishment volume value range and the abnormal total number of fluid replenishment times value range; If the value of the automatic liquid replenishment volume data falls within the abnormal liquid replenishment volume value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipe sections, including: If the value of the single liquid replenishment volume L falls within the single liquid replenishment volume abnormal value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipe sections; wherein the single liquid replenishment volume described by the single liquid replenishment volume abnormal value range is greater than the normal single liquid replenishment volume; If the value of the total number of fluid replenishments N falls within the abnormal value range of the total number of fluid replenishments, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipe sections; wherein the total number of fluid replenishments described by the abnormal value range of the total number of fluid replenishments is greater than the normal total number of fluid replenishments corresponding to the preset time length.

6. The method according to claim 4, characterized in that The real-time traffic data respectively correspond to a plurality of traffic data abnormal value ranges, and the plurality of traffic data abnormal value ranges respectively correspond to different abnormal levels; The real-time pressure difference data respectively correspond to a plurality of pressure difference data abnormal value ranges, and the plurality of pressure difference data abnormal value ranges respectively correspond to different abnormal levels; The automatic fluid replenishment volume data respectively correspond to a plurality of fluid replenishment volume abnormal value ranges, and the plurality of fluid replenishment volume abnormal value ranges respectively correspond to different abnormal levels; The executing of a predefined exception handling operation includes: According to the abnormality level corresponding to the determined blockage or leakage, an abnormality handling operation corresponding to the abnormality level is performed.

7. The method according to claim 1, characterized in that Any of the transmission pipeline sections is located at at least one of the following locations: Between the water inlet and the water outlet of the primary pipeline in the transmission pipeline; Between the water inlet and the water outlet of any secondary pipeline in the transmission pipeline; Between the water inlet and the water outlet of any tertiary pipeline in the transmission pipeline.

8. A cold plate liquid cooling system, characterized in that: Used for thermal management of containerized energy storage systems, the cold plate liquid cooling system includes: A plurality of cold plates are respectively arranged in cooperation with each energy storage unit in the containerized energy storage system to cool the corresponding energy storage unit; A transmission pipeline, used for cooperating with the cold plate to transport cooling liquid; A pump, used for driving the coolant to flow; The control subsystem includes a flow measurement mechanism and a pressure difference measurement mechanism, and a processing mechanism, which are arranged at any transmission pipeline section in the transmission pipeline; wherein: the flow measurement mechanism is used to measure the real-time flow data at any transmission pipeline section, the pressure difference measurement mechanism is used to measure the real-time pressure difference data at any transmission pipeline section, and the processing mechanism is used to perform abnormality detection and processing through the method described in any one of claims 1 to 7.

9. The system according to claim 8, characterized in that The system also includes: An automatic liquid replenishing mechanism, used for automatically replenishing liquid into the cold plate type liquid cooling system; Among them, the processing mechanism is also used to: obtain automatic fluid replenishment volume data for the coolant in the transmission pipeline, and compare the automatic fluid replenishment volume data with a predefined abnormal fluid replenishment volume value range; if the value of the automatic fluid replenishment volume data falls within the abnormal fluid replenishment volume value range, it is determined that the cold plate liquid cooling system has a leak at any of the transmission pipeline sections.

10. A computer-readable storage medium, characterized in that: Computer instructions are stored thereon, and when the instructions are executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images