Liquid cooling detection system of all-vanadium redox flow battery energy storage power station

Abstract

The invention provides a liquid cooling detection system for an all-vanadium redox flow battery energy storage power station. The liquid cooling detection system comprises a battery state detection module, an energy storage power station evaluation module, a fault diagnosis module, a self-inspection module and a control module, according to the invention, through diagnosis of the battery, the power station and the system, comprehensive detection and evaluation of the system are realized, and the reliability of system evaluation and the accuracy of abnormity judgment are improved; the invention also provides a method with a simple calculation mode for the battery, the power station and the system, and the method is simple in calculation, small in pressure on the system, and does not increase the cost, so that the evaluation of the system is more scientific and reasonable.

Description

Technical Field

[0001] The invention relates to a liquid cooling detection system for an all-vanadium redox flow battery energy storage power station. Background Art

[0002] All-vanadium redox flow battery energy storage power stations are a new energy storage technology with high energy and power density, long cycle life, and excellent safety performance. The liquid cooling detection system is a key component of all-vanadium redox flow battery energy storage power station operation, primarily used to monitor the battery's operating status, promptly detect and prevent potential failures, and ensure the safe and stable operation of the power station.

[0003] The liquid cooling detection system mainly includes the following aspects:

[0004] 1. Battery status monitoring: By real-time monitoring of battery parameters such as voltage, current, and temperature, the battery's charge and discharge status can be understood, and the battery's capacity and health can be determined, providing data support for power station management.

[0005] 2. Fault diagnosis: By analyzing the battery's operating data, abnormal battery conditions such as overcharging, over-discharging, and abnormal temperature can be detected, and timely alarms can be issued to prevent potential failures.

[0006] 3. Battery performance evaluation: By comparing the operating data of different batteries, the battery performance is evaluated to provide a reference for battery selection and replacement.

[0007] 4. Power station operation optimization: Based on the battery operation data, optimize the power station operation strategy to improve the operation efficiency and safety of the power station.

[0008] The implementation of a liquid cooling detection system for an all-vanadium flow battery energy storage power station relies on advanced sensor technology, data processing techniques, and artificial intelligence algorithms. Combining these technologies with the actual needs of the power station can effectively improve the station's operational efficiency and safety. At the same time, the establishment and operation of the liquid cooling detection system must fully consider the power station's cost and feasibility to achieve economical and efficient operation and management.

[0009] However, through existing technical research, it is found that the parameters required by current liquid cooling detection systems are complex and repeatedly acquired and utilized, and the evaluation method is complex, which greatly increases the pressure on the system. In view of this, it is necessary to provide a detection system that can comprehensively evaluate and is simple to calculate. Summary of the Invention

[0010] In order to solve the problems existing in the prior art, the present invention provides a liquid cooling detection system for an all-vanadium liquid flow battery energy storage power station, wherein the liquid cooling detection system includes a battery status detection module, an energy storage power station evaluation module, a fault diagnosis module, a self-test module, and a control module;

[0011] The battery status detection module is used to detect the battery status in order to determine the health status of the battery. 电池 ;

[0012] The energy storage power station evaluation module is used to evaluate the stability of the energy storage power station operation. 电站 ;

[0013] The self-check module is used to perform self-check on the operation status of the liquid cooling detection system to obtain the reliability of the operation of the liquid cooling detection system. 系统 ;

[0014] The fault diagnosis module is used to determine the battery's health status based on the battery's 电池 , the stability of energy storage power station operation W 电站 And the reliability of the liquid cooling detection system W 系统 Perform fault diagnosis and provide feedback on the diagnosis results;

[0015] The control module is used to determine a maintenance strategy for the liquid cooling detection system based on the diagnosis result.

[0016] A further solution includes: the battery status detection module includes: a temperature sensor, a voltage sensor, a liquid level sensor and a battery information processing module;

[0017] The temperature sensor is used to detect the maximum temperature T of the battery max ;

[0018] The first voltage sensor is used to detect the minimum voltage U of the battery min ;

[0019] The liquid level sensor is used to monitor the liquid level H of the electrolyte in the battery storage tank;

[0020] The battery information processing module determines the battery health status W based on the maximum temperature T, minimum voltage U, and liquid level H. 电池 .

[0021] A further solution includes: the battery information processing module is based on the maximum temperature T max , minimum voltage U min , liquid level H determines the battery health status W 电池 Including: Get the normal temperature T of the battery for normal operation 正常 , normal voltage U 正常 And normal liquid level H 正常 ; In order to determine the monitoring status of the battery W 电池 , wherein the calculation method is as follows:

[0022]

[0023] A further solution includes: the energy storage power station assessment module includes: a second voltage sensor, a timing sensor;

[0024] The second voltage sensor is used to detect the preset time period t 预设 The maximum voltage U max and minimum voltage U 低 ;

[0025] The timing sensor is used to determine the preset time period t 预设 The operating time of the internal energy storage power station t;

[0026] Based on the maximum voltage U max and minimum voltage U 低 and operation time to evaluate the stability of the power station W 电站 .

[0027] A further solution includes: the method based on the highest voltage U max and minimum voltage U 低 And the operation time of the energy storage power station is used to evaluate the stability of the power station W 电站 Specifically including: obtaining the output voltage U when the power station is working normally 输出 , the stability of the power station W is determined by 电站 :

[0028]

[0029] A further solution includes: the self-test module is used to self-test the operating status of the liquid cooling detection system, and obtaining the reliability of the operation of the liquid cooling detection system specifically includes: detecting the signal strength RSSI and fault tolerance C of the communication link between various sensors, so as to determine the reliability W of the operation of the liquid cooling detection system based on the stability of the communication link. 系统 .

[0030] A further solution includes: detecting the signal strength RSSI and fault tolerance C of the communication link between various sensors, so as to determine the reliability W of the liquid cooling detection system based on the stability of the communication link. 系统 Specifically including: obtaining the signal strength RSSI of the i-th link i and fault tolerance C i , the reliability of the liquid cooling detection system is determined by the following method W 系统 ;

[0031]

[0032] Where n is the total number of links; RSSI avg is the average signal strength of n links; C 额定 is the expected fault tolerance.

[0033] A further solution includes: the fault diagnosis module is used to determine the battery health status based on the battery 电池 , the stability of energy storage power station operation W 电站 And liquid cooling detection system W 系统 The reliability of the operation is checked for faults and the diagnostic results are fed back, including:

[0034] According to the health status of the battery W 电池 , the stability of energy storage power station operation W 电站 And liquid cooling detection system W 系统 Determine a weight W, and determine a diagnosis result according to the weight W; wherein,

[0035]

[0036] Among them, W 电池-avg W is the weight of the battery during normal operation; 电站-avg It is the weight when the power station is working normally.

[0037] A further solution includes: the liquid cooling detection system further includes an information verification module, the information verification module is located in the server, and is used to verify the data from the control module and each sensor, wherein the verification of the data from the control module and each sensor includes the following: 电池 , the stability of energy storage power station operation W 电站 And the reliability of the liquid cooling detection system W 系统 At least one of them verifies the data.

[0038] A further solution includes: the verification module does not use the received battery health status W 电池 , the stability of energy storage power station operation W 电站 And the reliability of the liquid cooling detection system W 系统 to verify.

[0039] The beneficial effect of the present invention is that the present invention provides a liquid cooling detection system for an all-vanadium liquid flow battery energy storage power station, the liquid cooling detection system includes a battery status detection module, an energy storage power station evaluation module, a fault diagnosis module, a self-test module, and a control module; the battery status detection module is used to detect the battery status in order to determine the health status of the battery. 电池 The energy storage power station evaluation module is used to evaluate the stability of the energy storage power station operation W 电站 The self-test module is used to self-test the operating status of the liquid cooling detection system to obtain the reliability of the liquid cooling detection system operation W 系统 The fault diagnosis module is used based on the health status of the battery W 电池 , the stability of energy storage power station operation W 电站And liquid cooling detection system W 系统 The system performs fault diagnosis on the reliability of operation and provides feedback on the diagnostic results; the control module is used to determine the maintenance strategy for the liquid cooling detection system based on the diagnostic results. The present invention achieves comprehensive system detection and evaluation through diagnosis of batteries, power stations, and systems, improving the reliability of system evaluation and the accuracy of abnormality judgment. The present invention also proposes a simple calculation method specifically for batteries, power stations, and systems. This method is simple to calculate, places little pressure on the system, and does not increase costs, making system evaluation more scientific and reasonable. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below with reference to the accompanying drawings and examples.

[0041] Figure 1 This is a schematic diagram of the structure of a preferred embodiment of the present invention Figure 1 ;

[0042] Figure 2 This is a schematic diagram of the structure of a preferred embodiment of the present invention Figure 2 ;

[0043] Figure 3 It is a flow chart of information verification of a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0044] The present invention will now be described in further detail with reference to the accompanying drawings, which are simplified schematic diagrams that illustrate the basic structure of the present invention in a schematic manner.

[0045] In order to solve the problems existing in the prior art, the present invention provides a liquid cooling detection system for an all-vanadium redox flow battery energy storage power station, such as Figure 1 As shown, the liquid cooling detection system includes a battery status detection module, an energy storage power station evaluation module, a fault diagnosis module, a self-test module, and a control module;

[0046] The battery status detection module is used to detect the battery status in order to determine the health status of the battery. 电池 ;

[0047] The energy storage power station evaluation module is used to evaluate the stability of the energy storage power station operation. 电站 ;

[0048] The self-check module is used to perform self-check on the operation status of the liquid cooling detection system to obtain the reliability of the operation of the liquid cooling detection system. 系统 ;

[0049] The fault diagnosis module is used to determine the battery's health status based on the battery's 电池 , the stability of energy storage power station operation W 电站And the reliability of the liquid cooling detection system operation 系统 Perform fault diagnosis and provide feedback on the diagnosis results;

[0050] The control module is used to determine a maintenance strategy for the liquid cooling detection system based on the diagnosis result.

[0051] The present invention comprehensively considers the battery, power station and system operation during system evaluation to resolve the problem of inaccurate single parameter information. Based on the comprehensive evaluation of the battery, power station and system operation, the reliability of the system's comprehensive capability evaluation can be significantly improved so that maintenance can be carried out accordingly, which is beneficial to the operating life and safety of the system and power station.

[0052] Preferably, the battery status detection module includes: a temperature sensor, a voltage sensor, a liquid level sensor and a battery information processing module;

[0053] The temperature sensor is used to detect the maximum temperature T of the battery max ;

[0054] The first voltage sensor is used to detect the minimum voltage U of the battery min ;

[0055] The liquid level sensor is used to monitor the liquid level H of the electrolyte in the battery storage tank;

[0056] The battery information processing module determines the battery health state Wbattery based on the maximum temperature T, minimum voltage U, and liquid level H.

[0057] All-vanadium redox flow batteries differ from conventional lithium and lead-acid batteries. Sensor technology plays a crucial role in the liquid cooling detection system of all-vanadium redox flow battery energy storage power plants. Sensors are typically used to monitor and measure key battery parameters such as voltage, current, temperature, and liquid level over a preset time period. This data is crucial for assessing battery health and performance. To comprehensively evaluate battery operational stability, this invention selects temperature, voltage, and liquid level for evaluation to determine the battery's health status.

[0058] Preferably, the battery information processing module is based on the maximum temperature T max , minimum voltage U min , liquid level H determines the battery health status W 电池 Including: Get the normal temperature T of the battery for normal operation 正常 , normal voltage U 正常 And normal liquid level H 正常; In order to determine the monitoring status of the battery Wbattery, wherein the minimum voltage Umin is not equal to 0. When it is equal to 0, an abnormal error is directly reported. Generally speaking, the smaller the minimum voltage Umin is, the greater the deviation from the normal value and the worse the battery status; the liquid level H is also not equal to 0. When the liquid level H is detected to be equal to 0, an error is directly reported; generally speaking, the smaller the liquid level H is, the worse the status.

[0059] The calculation method is as follows:

[0060]

[0061] W calculated in the above way 电池 The larger the value, the worse the condition. According to the above method, the battery condition can be determined intuitively, providing a scientific and reasonable basis for the evaluation of the battery condition.

[0062] In order to accurately assess the health status of the all-vanadium liquid flow battery, the battery temperature, voltage and liquid level are detected in real time, and the maximum temperature, minimum voltage, and liquid level within a preset time period are obtained. These values ​​are then compared with the values ​​under normal conditions to obtain the comprehensive weight of the battery health status, thereby measuring the battery health status.

[0063] Generally, the battery temperature, voltage and liquid level all have a normal allowable range of variation. When at least one of the maximum temperature, minimum voltage, and liquid level exceeds the normal range, the abnormal information is directly fed back to the control module, so that the abnormal information can be fed back to the server via the control module to activate the emergency warning mode; when the maximum temperature, minimum voltage, and liquid level do not exceed the normal range, the above-mentioned calculation method is used to determine the monitoring status of the battery. Among them, the setting method of the battery temperature, voltage and liquid level all having a normal allowable range of variation is set according to actual needs and will not be repeated here.

[0064] Preferably, the energy storage power station evaluation module includes: a second voltage sensor, a timing sensor;

[0065] The second voltage sensor is used to detect the preset time period t 预设 The maximum voltage U max and minimum voltage U 低 ;

[0066] The timing sensor is used to determine the preset time period t 预设 The operating time t of the internal energy storage power station, wherein the preset time period can be set according to actual needs. For different power stations, the preset time periods can be the same or different, thereby improving the adaptability of different power stations.

[0067] Based on the maximum voltage U maxand minimum voltage U 低 And the operation time of the energy storage power station is used to evaluate the stability of the power station W 电站 .

[0068] Wherein, the maximum voltage U max and minimum voltage U 低 And the operation time of the energy storage power station is used to evaluate the stability of the power station W 电站 Specifically including: obtaining the output voltage U when the power station is working normally 输出 , the stability of the power station W is determined by 电站 :

[0069]

[0070] W calculated according to the above method 电站 The larger the value, the worse the condition. This provides a reliable basis for the stability of power station output. Moreover, the calculation method is simple and does not require complex formulas to evaluate stability.

[0071] Energy storage power stations provide electricity to the outside world, and the stability of their output voltage can reflect the performance of the power station. Moreover, since only voltage parameters are used, data processing is convenient. Moreover, voltage is a parameter that needs to be detected on a daily basis, so there is no need to add new detection circuits or sensors, thus achieving functional detection without increasing costs. The operating time can be used as feedback to prevent excessive charging and discharging. When evaluating the stability of a power station, the present invention selects parameters that are simple to operate and can intuitively reflect the status of the power station. Without increasing system costs or system pressure, effective parameters are obtained for system stability evaluation. The solution is simple and easy to operate.

[0072] In a preferred embodiment, the self-test module is used to perform self-test on the operating status of the liquid cooling detection system. Obtaining the reliability of the operation of the liquid cooling detection system specifically includes: detecting the signal strength RSSI and fault tolerance C of the communication link between various sensors, so as to determine the reliability W of the operation of the liquid cooling detection system based on the stability of the communication link. 系统 .

[0073] The signal strength RSSI and fault tolerance C of the communication link between various sensors are detected to evaluate the link stability. The fault tolerance C can be expressed by the correctness of the transmitted data. The reliability W of the liquid cooling detection system operation is determined based on the stability of the communication link. 系统 Specifically, it includes: obtaining the signal strength RSSIi and fault tolerance Ci of the i-th link, and determining the reliability W of the liquid cooling detection system operation using the following method 系统 ;

[0074]

[0075] Where n is the total number of links; RSSI avg is the average signal strength of n links; C 额定 The reliability of the liquid cooling detection system W is obtained by the above method. 系统 The larger the value, the stronger the reliability of the link and the better the reliability of the system.

[0076] Since the battery monitoring status and power station stability have already selected parameters such as time, temperature, and voltage, in order to reduce the use of parameters and reduce system complexity, when evaluating system reliability, only signal strength and fault tolerance are selected. This can ensure the reliability of data transmission and avoid repetitive parameter calculations, which can significantly reduce the pressure on the system.

[0077] In a preferred embodiment, the fault diagnosis module is used to determine the battery's health status based on the battery's 电池 , the stability of energy storage power station operation W 电站 And liquid cooling detection system W 系统 The reliability of the operation is checked for faults and the diagnostic results are fed back, including:

[0078] According to the health status of the battery W 电池 , the stability of energy storage power station operation W 电站 And the reliability of the liquid cooling detection system operation 系统 Determine a weight W, and determine a diagnosis result according to the weight W; wherein,

[0079]

[0080] Among them, W 电池-avg The weight of the battery during normal operation, preferably W 电池-avg The value can be 0.7; W 电站-avg is the weight when the power station is working normally, preferably, W 电站-avg The value of is 0.5.

[0081] The above method can be used to obtain the comprehensive weight of the entire system. The larger the value, the worse the status of the entire system. Each power station can define its own alarm threshold to meet the safety needs of different systems.

[0082] The present invention is to analyze the health status of the battery, the stability of the battery and the operation of the energy storage station. 电站 And liquid cooling detection system W 系统 Comprehensive consideration can effectively determine the status of the entire system and facilitate maintenance personnel to determine maintenance strategies in a timely manner. In a quantitative form, it provides a basis for judging abnormalities, making the system evaluation more scientific and reasonable.

[0083] In a preferred embodiment, when the liquid cooling detection system includes a server, Figure 2 As shown, the liquid cooling detection system also includes an information verification module, which is located in the server and is used to verify the data from the control module and each sensor, wherein the verification of the data from the control module and each sensor includes the verification of the data based on the health status of the battery W 电池 , the stability of energy storage power station operation W 电站 And the reliability of the liquid cooling detection system W 系统 At least one of them verifies the data.

[0084] In a preferred embodiment, the verification module does not use the received battery health status W 电池 , the stability of energy storage power station operation W 电站 And the reliability of the liquid cooling detection system W 系统 to verify.

[0085] like Figure 3 As shown, the control module sends feedback data from various sensors, as well as the health status of the battery W and the stability of the energy storage station operation W 电站 And the reliability of the liquid cooling detection system W 系统 ; Select the health status of the battery W and the stability of the operation of the battery and energy storage power station W 电站 And the reliability of the liquid cooling detection system W 系统 One of the data is used as the information header, and the rest of the data is integrated together as a data packet and sent;

[0086] After receiving the above data, the server recalculates the health status of the battery W and the stability of the operation of the energy storage power station W 电站 And the reliability of the liquid cooling detection system W 系统 , and then compare them with the information header respectively. When the health status of the battery is Wbattery, the stability of the energy storage power station is W 电站 And the reliability of the liquid cooling detection system W 系统 If one of the two comparisons is consistent, the information verification passes. The server recalculates the weight W. When it is consistent with the received weight W, it performs a comprehensive analysis of the received information to determine a maintenance strategy. The server feeds the maintenance strategy back to the control module, which then performs system maintenance based on the determined maintenance strategy. If any of the two comparisons is inconsistent, the information verification module feeds back an inconsistency message to the control module, allowing it to re-initiate the verification process.

[0087] In a preferred embodiment, when the liquid cooling detection system includes a remote server, the control module is used to determine the maintenance strategy of the liquid cooling detection system based on the diagnostic result, including: a maintenance strategy verification step, specifically including: after the control module is used to determine the maintenance strategy of the liquid cooling detection system based on the diagnostic result and determines the maintenance step, sending a verification message to the server, wherein the verification message content includes a maintenance strategy identifier, and the message header includes the battery health status W 电池 , the stability of energy storage power station operation W 电站 And the reliability of the liquid cooling detection system W 系统 When the server receives the verification message, it sends a source information request to the control module so that the control module sends the raw data detected by each sensor according to the source information request; the server recalculates the health status of the battery W based on the raw data 电池 , the stability of energy storage power station operation W 电站 And the reliability of the liquid cooling detection system W 系统 , and then compare the above three values ​​with the header of the verification message one by one. When the content of the header is consistent with the battery health status W 电池 , the stability of energy storage power station operation W 电站 And the reliability of the liquid cooling detection system W 系统 When at least one of them is consistent, the verification is passed; the server calculates the system weight W according to the above original data, and determines the maintenance strategy according to the weight W. When the identifier of the maintenance strategy generated by the server is consistent with the identifier in the verification message, a maintenance strategy permission command is sent to the control module so that the control module promotes the execution of the maintenance strategy according to the maintenance strategy permission command; wherein, when the identifiers are inconsistent, a maintenance strategy abnormality identifier is sent to the control module so that the control module regenerates the maintenance strategy for verification.

[0088] The present invention provides two methods for determining maintenance strategies. The first is that the server in the system determines the maintenance strategy based on the data detected by the control module and the sensor. The second is that the control module generates the maintenance strategy and submits it to the server for verification. The above two different methods can be applied to scenarios with different security levels according to actual needs, that is, multiple safety thresholds are set, such as a first safety threshold and a second safety threshold, and the first safety threshold is less than the second safety threshold. When the weight W is less than the first safety threshold, no maintenance is required; when the weight W is not less than the first safety threshold and less than the second safety threshold, the first method is used, and when the weight W is greater than or equal to the second safety threshold, the second method is used. This can improve the security of the maintenance strategy and further improve the maintenance efficiency of the system.

[0089] All types of thresholds involved in the present invention can be set according to actual scenario requirements, and the specific value setting method will not be repeated here.

[0090] The solution provided by the present invention not only provides a scientific and computationally simple system evaluation method, but also eliminates the need for parameter reuse, reducing the frequency of interaction between modules. At the same time, the present invention further increases the determination and verification of maintenance strategies, and can significantly improve the reliability and accuracy of maintenance strategies, whether it is the verification of various types of data or the verification of maintenance strategies.

[0091] With the above-described preferred embodiments of the present invention as inspiration, and with reference to the above description, relevant personnel are fully capable of making various changes and modifications without departing from the technical scope of this invention. The technical scope of this invention is not limited to the contents of the specification and must be determined according to the scope of the claims.

Claims

1. A liquid cooling detection system for an all-vanadium liquid flow battery energy storage power station, characterized in that: The liquid cooling detection system includes a battery status detection module, an energy storage power station evaluation module, a fault diagnosis module, a self-test module, and a control module; The battery status detection module is used to detect the battery status so as to determine the health status of the battery. 电池 ; The energy storage power station evaluation module is used to evaluate the stability of the energy storage power station operation. 电站 ; The self-check module is used to perform self-check on the operation status of the liquid cooling detection system to obtain the reliability of the operation of the liquid cooling detection system. 系统 ; The fault diagnosis module is used to determine the battery health status based on the battery 电池 , Stability of energy storage power station operation 电站 And the reliability of the liquid cooling detection system operation 系统 Conduct fault diagnosis and provide feedback on the diagnosis results; The control module is used to determine a maintenance strategy for the liquid cooling detection system according to the diagnosis result.

2. The energy storage power station liquid cooling detection system according to claim 1, characterized in that: The battery status detection module includes: a temperature sensor, a voltage sensor, a liquid level sensor and a battery information processing module; The temperature sensor is used to detect the maximum temperature T of the battery. max ; The first voltage sensor is used to detect the minimum voltage U of the battery. min ; The liquid level sensor is used to monitor the liquid level H of the electrolyte in the battery storage tank; The battery information processing module is based on the maximum temperature T max , minimum voltage U min , liquid level H determines the battery health status W 电池 .

3. The energy storage power station liquid cooling detection system according to claim 2 is characterized in that: The battery information processing module is based on the maximum temperature T max , minimum voltage U min , liquid level H determines the battery health status W 电池 Including: Get the normal temperature T of the battery for normal operation 正常 , Normal voltage U 正常 And normal liquid level H 正常 ; In order to determine the monitoring status of the battery W 电池 , wherein the calculation method is as follows:

4. The energy storage power station liquid cooling detection system according to claim 1, characterized in that: The energy storage power station assessment module includes: a second voltage sensor, a timing sensor; The second voltage sensor is used to detect the preset time period t 预设 The maximum voltage U max and minimum voltage U 低 ; The timing sensor is used to determine the preset time period t 预设 The operating time of the internal energy storage power station is t; Based on the maximum voltage U max and minimum voltage U 低 and operation time to evaluate the stability of the power station W 电站 .

5. The energy storage power station liquid cooling detection system according to claim 4, characterized in that: The maximum voltage U max and minimum voltage U 低 And the operation time of the energy storage power station to evaluate the stability of the power station W 电站 Specifically include: obtaining the output voltage U when the power station is working normally 输出 , the stability of the power station W is determined by 电站 :

6. The energy storage power station liquid cooling detection system according to claim 1, characterized in that: The self-check module is used to perform self-check on the operation status of the liquid cooling detection system. The reliability of the operation of the liquid cooling detection system is obtained by: detecting the signal strength RSSI and the fault tolerance C of the communication link between various sensors, so as to determine the reliability W of the operation of the liquid cooling detection system based on the stability of the communication link. 系统 .

7. The energy storage power station liquid cooling detection system according to claim 6, characterized in that: The signal strength RSSI and fault tolerance C of the communication link between various sensors are detected so as to determine the reliability W of the liquid cooling detection system based on the stability of the communication link. 系统 Specifically include: obtaining the signal strength RSSI of the i-th link i and fault tolerance C i , the reliability of the liquid cooling detection system is determined by the following method W 系统 ; Where n is the total number of links; RSSI avg is the average signal strength of n links; C 额定 is the expected fault tolerance.

8. The energy storage power station liquid cooling detection system according to claim 1, characterized in that: The fault diagnosis module is used to determine the battery health status based on the battery 电池 , Stability of energy storage power station operation 电站 And the reliability of the liquid cooling detection system W 系统 Perform fault diagnosis and feedback the diagnosis results, including: According to the health status of the battery W 电池 , Stability of energy storage power station operation 电站 And the reliability of the liquid cooling detection system W 系统 Determine a weight W, and determine a diagnosis result according to the weight W; wherein, Among them, W 电池-avg W is the weight of the battery during normal operation; 电站-avg It is the weight when the power station is working normally.

9. The liquid cooling detection system for an energy storage power station according to any one of claims 1 to 8, characterized in that: The liquid cooling detection system also includes an information verification module, which is located in the server and is used to verify the data from the control module and each sensor, wherein the verification of the data from the control module and each sensor includes verifying the health status of the battery based on the battery status. 电池 , Stability of energy storage power station operation 电站 And the reliability of the liquid cooling detection system W 系统 At least one of the above verifies the data.

10. The energy storage power station liquid cooling detection system according to claim 9, characterized in that: The verification module does not use the received battery health status W 电池 , Stability of energy storage power station operation 电站 And the reliability of the liquid cooling detection system W 系统 to verify.

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