Fault early warning determination method and device, storage medium and electronic device

Abstract

The invention discloses a fault early warning determination method and device, a storage medium and an electronic device. The method comprises the following steps: acquiring temperature data corresponding to a plurality of battery cells in a battery cluster; the cluster characteristic temperature of the battery cluster and the intra-cluster temperature difference in the battery cluster are calculated according to the temperature data, and the temperature difference is used for indicating the temperature difference value between the highest battery cell temperature and the lowest battery cell temperature in the battery cluster; comparing the cluster characteristic temperature with an absolute temperature threshold to obtain a first comparison result; and / or comparing the intra-cluster temperature difference with a temperature difference threshold value to obtain a second comparison result; and determining the message alarm content of the energy storage fault based on the first comparison result and the second comparison result. The problems of inaccurate temperature control and untimely fault early warning in the battery energy storage system are solved. The temperature data of the battery cells in the battery cluster are monitored and analyzed in real time, the characteristic temperature and the temperature difference are calculated and compared with the threshold value, the fault state is determined, corresponding alarm is triggered, and timely early warning of temperature abnormity of the battery energy storage power station is achieved.

Description

Technical Field

[0001] The present application relates to the field of energy storage technology, and in particular to a method and device for determining a fault warning, a storage medium, and an electronic device. Background Art

[0002] With the rapid development of new energy storage technologies, especially the widespread application of lithium battery energy storage power stations, it plays an increasingly important role in power service provision, power quality improvement, grid load balancing and cost control. However, battery energy storage systems also face severe challenges in operation due to thermal runaway accidents. Thermal runaway not only affects battery performance, but also threatens the safe operation of power stations. Battery thermal runaway is mostly caused by abnormal cell temperature, among which cell temperature is one of the key parameters reflecting the operating status of the battery. At present, the complexity of the thermal management system of battery energy storage power stations leads to deficiencies in temperature monitoring and early warning mechanisms, especially the failure of the guide fan installed on the top of the battery cluster, which often fails to notify the operation and maintenance personnel in time, eventually leading to abnormal increase in the local temperature of the battery compartment. When the EMS temperature alarm threshold is reached, although the over-temperature alarm can be triggered, the system is already at a high safety risk.

[0003] With regard to the problems of inaccurate temperature control and untimely fault warning in battery energy storage systems in related technologies, no effective solution has been proposed so far.

[0004] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the invention

[0005] The embodiments of the present application provide a method and device for determining a fault warning, a storage medium, and an electronic device, so as to at least solve the problems of inaccurate temperature control and untimely fault warning in a battery energy storage system.

[0006] According to one aspect of an embodiment of the present application, a method for determining a fault warning is provided, comprising: collecting temperature data corresponding to a plurality of battery cells in a battery cluster; calculating a cluster characteristic temperature of the battery cluster and an intra-cluster temperature difference within the battery cluster according to the temperature data, wherein the temperature difference is used to indicate a temperature difference between a maximum battery cell temperature and a minimum battery cell temperature within the battery cluster; comparing the cluster characteristic temperature with an absolute temperature threshold to obtain a first comparison result; and / or comparing the intra-cluster temperature difference with a temperature difference threshold to obtain a second comparison result; and determining the message alarm content of the energy storage fault based on the first comparison result and the second comparison result.

[0007] In an exemplary embodiment, after determining the message alarm content of the energy storage fault based on the first comparison result and the second comparison result, the above method also includes: identifying the alarm type included in the message alarm content; selecting a target operation and maintenance strategy that meets the alarm type from a preset strategy database; and using the target operation and maintenance strategy to control the operation of the power station including the battery cluster.

[0008] In an exemplary embodiment, a target operation and maintenance strategy that meets the alarm type is selected from a preset strategy database, including: when the alarm type is temperature monitoring abnormality, a first target operation and maintenance strategy of reducing the operating state of the battery cluster and checking the battery cells in the battery cluster is selected; when the alarm type is temperature difference monitoring abnormality, a second target operation and maintenance strategy of checking the high-temperature battery cells in the battery cluster and controlling the operating state of the high-temperature battery cells is selected; when the alarm type is abnormal temperature distribution characteristics of the battery cells in the battery cluster, a third target operation and maintenance strategy of checking the abnormal battery cells with abnormally increased or decreased temperature in the battery cluster and controlling the operating state of the abnormal battery cells is selected.

[0009] In an exemplary embodiment, after collecting temperature data corresponding to multiple battery cells in the battery cluster, the method further includes: preprocessing the temperature data to obtain a temperature list; recording the temperature time series of each column of temperature values ​​in the temperature list according to the time change according to a preset time step; and determining whether to perform calculation processing based on the temperature data according to the sequence fluctuation of the temperature time series.

[0010] In an exemplary embodiment, whether to perform calculation processing based on temperature data is determined according to the sequence fluctuation of the temperature time series, including: when the sequence fluctuation indicates that the temperature change data is relatively gentle, determining not to perform calculation processing on the temperature data; when the sequence fluctuation indicates that the temperature change data has increased or decreased significantly, determining to perform calculation processing on the temperature data.

[0011] In an exemplary embodiment, after determining the message alarm content of the energy storage fault based on the first comparison result and the second comparison result, the above method also includes: recording the processing result corresponding to the message alarm content; when the processing result is that the alarm is eliminated, starting a new fault warning determination process; when the processing result is that the alarm exists, initiating a maintenance process for the battery cluster.

[0012] According to another aspect of an embodiment of the present application, a device for determining a fault warning is also provided, including: an acquisition module, used to acquire temperature data corresponding to multiple battery cells in a battery cluster; a calculation module, used to calculate the cluster characteristic temperature of the battery cluster and the intra-cluster temperature difference within the battery cluster according to the temperature data, wherein the temperature difference is used to indicate the temperature difference between the highest battery cell temperature and the lowest battery cell temperature in the battery cluster; a comparison module, used to compare the cluster characteristic temperature with an absolute temperature threshold to obtain a first comparison result; and / or compare the intra-cluster temperature difference with a temperature difference threshold to obtain a second comparison result; and a determination module, used to determine the message alarm content of the energy storage fault based on the first comparison result and the second comparison result.

[0013] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned method for determining fault warning when running.

[0014] According to another aspect of an embodiment of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the fault warning determination method through the computer program.

[0015] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and the method for determining the above-mentioned fault warning when the computer program is executed by a processor.

[0016] Through this application, the temperature data corresponding to multiple cells in the battery cluster are collected; the cluster characteristic temperature of the battery cluster and the intra-cluster temperature difference within the battery cluster are calculated based on the temperature data, wherein the temperature difference is used to indicate the temperature difference between the highest cell temperature and the lowest cell temperature within the battery cluster; the cluster characteristic temperature is compared with the absolute temperature threshold to obtain a first comparison result; and / or the intra-cluster temperature difference is compared with the temperature difference threshold to obtain a second comparison result; based on the first comparison result and the second comparison result, the message alarm content of the energy storage fault is determined. The above technical solution is adopted to solve the problems of inaccurate temperature control and untimely fault warning in the battery energy storage system. Furthermore, by real-time monitoring and analysis of the temperature data of the cells in the battery cluster, the characteristic temperature and temperature difference are calculated, and compared with the threshold to determine the fault state and trigger the corresponding alarm, so as to achieve timely warning of abnormal temperature in the battery energy storage power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 It is a hardware structure block diagram of a computer terminal of a method for determining a fault warning in an embodiment of the present application;

[0020] Figure 2 is a flow chart of a method for determining a fault warning according to an embodiment of the present application;

[0021] Figure 3It is a flow chart of a temperature fault early warning method for a battery energy storage power station according to an embodiment of the present application;

[0022] Figure 4 is a temperature monitoring curve diagram according to an embodiment of the present application;

[0023] Figure 5 is a temperature difference monitoring curve diagram according to an embodiment of the present application;

[0024] Figure 6 is a normalized temperature distribution characteristic curve diagram of a battery cluster at a certain moment according to an embodiment of the present application;

[0025] Figure 7 is a normalized temperature change characteristic curve of a battery according to an embodiment of the present application;

[0026] Figure 8 It is a structural block diagram of determining a fault warning according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal, a mobile terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal of a method for determining a fault warning in an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1The computer terminal includes a processor 102 (only one is shown in the figure) (the processor 102 may include but is not limited to a processing device such as a microprocessor (Central Processing Unit, CPU) or a programmable logic device (Field Programmable Gate Array, FPGA)) and a memory 104 for storing data, wherein the computer terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0030] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for determining fault warning in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0031] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0032] In this embodiment, a method for determining a fault warning is provided. Figure 2 is a flow chart of a method for determining a fault warning according to an embodiment of the present application, such as Figure 2 As shown, the process includes the following steps S202-S208:

[0033] Step S202: collecting temperature data corresponding to multiple battery cells in the battery cluster;

[0034] Step S204: calculating the cluster characteristic temperature of the battery cluster and the intra-cluster temperature difference within the battery cluster according to the temperature data, wherein the temperature difference is used to indicate the temperature difference between the highest battery cell temperature and the lowest battery cell temperature within the battery cluster;

[0035] Step S206: comparing the cluster characteristic temperature with the absolute temperature threshold to obtain a first comparison result; and / or comparing the temperature difference within the cluster with the temperature difference threshold to obtain a second comparison result;

[0036] Step S208: Determine the message alarm content of the energy storage fault based on the first comparison result and the second comparison result.

[0037] In the above steps, the temperature data corresponding to multiple cells in the battery cluster are collected; the cluster characteristic temperature of the battery cluster and the intra-cluster temperature difference in the battery cluster are calculated according to the temperature data, wherein the temperature difference is used to indicate the temperature difference between the highest cell temperature and the lowest cell temperature in the battery cluster; the cluster characteristic temperature is compared with the absolute temperature threshold to obtain a first comparison result; and / or the intra-cluster temperature difference is compared with the temperature difference threshold to obtain a second comparison result; based on the first comparison result and the second comparison result, the message alarm content of the energy storage fault is determined. The above technical solution is adopted to solve the problems of inaccurate temperature control and untimely fault warning in the battery energy storage system. Furthermore, by real-time monitoring and analysis of the temperature data of the cells in the battery cluster, the characteristic temperature and temperature difference are calculated, and compared with the threshold to determine the fault state and trigger the corresponding alarm, so as to realize the timely warning of abnormal temperature in the battery energy storage power station.

[0038] In an exemplary embodiment, after determining the message alarm content of the energy storage fault based on the first comparison result and the second comparison result, the above method also includes: identifying the alarm type included in the message alarm content; selecting a target operation and maintenance strategy that meets the alarm type from a preset strategy database; and using the target operation and maintenance strategy to control the operation of the power station including the battery cluster.

[0039] Optionally, in a battery energy storage power station, it is detected that the characteristic temperature of a battery cluster exceeds the preset high temperature threshold (for example, 50°C), triggering a high temperature alarm signal. The system then identifies that this alarm belongs to the "temperature fault" type. Next, the system automatically selects the operation and maintenance strategy corresponding to the high temperature fault from the preset strategy database, that is, reducing the power output of the battery cluster, and starting and adjusting the thermal management system of the battery compartment to reduce the temperature of the battery cell. The system applies this operation and maintenance strategy to the operation control of the power station in real time, automatically adjusts the power of the battery cluster, and issues instructions to the thermal management system to increase the heat dissipation efficiency. This series of operations is automatically completed within a few seconds after the alarm is triggered, avoiding the continuous deterioration of the high temperature state and effectively ensuring the stability and safety of the battery energy storage system. Through real-time monitoring, intelligent decision-making and rapid response, it can provide strong support for the intelligent operation and maintenance of battery energy storage power stations, prevent potential safety accidents, and extend the service life of energy storage equipment.

[0040] In an exemplary embodiment, a target operation and maintenance strategy that meets the alarm type is selected from a preset strategy database, including: when the alarm type is temperature monitoring abnormality, a first target operation and maintenance strategy of reducing the operating state of the battery cluster and checking the battery cells in the battery cluster is selected; when the alarm type is temperature difference monitoring abnormality, a second target operation and maintenance strategy of checking the high-temperature battery cells in the battery cluster and controlling the operating state of the high-temperature battery cells is selected; when the alarm type is abnormal temperature distribution characteristics of the battery cells in the battery cluster, a third target operation and maintenance strategy of checking the abnormal battery cells with abnormally increased or decreased temperature in the battery cluster and controlling the operating state of the abnormal battery cells is selected.

[0041] Optionally, in a battery energy storage power station, if the alarm of "temperature monitoring abnormality" is triggered, the system will select the corresponding first target operation and maintenance strategy from the preset strategy database, that is, reduce the operating status of the battery cluster, such as reducing the output power to 50%, and immediately start the battery cell status troubleshooting program. If the alarm of "temperature difference monitoring abnormality" is triggered, the system will select the second target operation and maintenance strategy from the strategy database, focusing on troubleshooting and controlling the high-temperature batteries in the battery cluster. The system automatically adjusts the fan speed, prioritizes enhanced cooling of the high-temperature battery cell area, and issues an alarm to the operation and maintenance personnel, asking them to check the status of the high-temperature batteries and whether there are problems with the design and operation of the thermal management system. If the alarm of "abnormal temperature distribution characteristics of batteries in the battery cluster" is triggered, the system will select the third target operation and maintenance strategy from the strategy database, isolate and diagnose the abnormal batteries in detail, and adjust the system operation parameters, such as reducing the power of the entire battery cluster to prevent the temperature changes caused by the abnormal batteries from spreading to the entire system and causing a wider range of failures. Through the application of the above-mentioned intelligent operation and maintenance strategy, temperature anomalies in battery energy storage power stations can be effectively prevented and handled, ensuring the stability and safety of system operation, while improving operation and maintenance efficiency and reducing maintenance costs.

[0042] In an exemplary embodiment, after collecting temperature data corresponding to multiple battery cells in the battery cluster, the method further includes: preprocessing the temperature data to obtain a temperature list; recording the temperature time series of each column of temperature values ​​in the temperature list according to the time change according to a preset time step; and determining whether to perform calculation processing based on the temperature data according to the sequence fluctuation of the temperature time series.

[0043] Optionally, in a battery energy storage power station, the monitoring system collects temperature data of the cells in the battery cluster once a minute. In the preprocessing stage, the system cleans the data, removes invalid or abnormal temperature records, and organizes the valid data into a temperature list. Next, the system sets a time step of 5 minutes, which means that the temperature data for every minute in the past 5 minutes will be recorded to form a temperature time series. For example, for cell A, the system records the following temperature time series: t-4 minutes: 25°C, t-3 minutes: 26°C, t-2 minutes: 27°C, t-1 minutes: 28°C, t minutes: 30°C. The system then analyzes the fluctuations in the temperature time series, such as the rate of temperature rise, the amplitude of fluctuation, etc. If the system notices that at time t, the temperature of cell A suddenly rises from 28°C to 30°C, and the amplitude of fluctuation exceeds the preset dynamic threshold (for example, set to change within 2°C). Based on this observation, the system determines that it is necessary to perform calculation processing based on the temperature data, that is, further analyze the temperature changes of cell A to determine whether there are early signs of thermal runaway. Through this dynamic threshold setting and calculation processing mechanism based on time series analysis, effective monitoring and early warning of temperature anomalies in battery energy storage power stations can be achieved, which is of great significance for preventing thermal runaway events and ensuring the safe and stable operation of battery systems.

[0044] In an exemplary embodiment, whether to perform calculation processing based on temperature data is determined according to the sequence fluctuation of the temperature time series, including: when the sequence fluctuation indicates that the temperature change data is relatively gentle, determining not to perform calculation processing on the temperature data; when the sequence fluctuation indicates that the temperature change data has increased or decreased significantly, determining to perform calculation processing on the temperature data.

[0045] Optionally, in a battery energy storage power station, the monitoring system records the temperature data of the battery cells in the battery cluster once a minute. Assume that the temperature time series of battery cell A is as follows: t-5 minutes: 27°C, t-4 minutes: 28°C, t-3 minutes: 29°C, t-2 minutes: 30°C, t-1 minute: 31°C, t minute: 32°C. From the above temperature time series, the temperature time series of battery cell A shows that the temperature changes slowly, and the temperature increases by 1°C per minute. This change is within the normal operating range of the battery. The system determines that the temperature change data at this time is relatively slow by analyzing the fluctuation of the temperature time series, so it will not trigger the calculation processing flow based on the temperature data, avoiding unnecessary consumption of computing resources. However, if the temperature time series of battery cell B is as follows: t-5 minutes: 30°C, t-4 minutes: 32°C, t-3 minutes: 34°C, t-2 minutes: 38°C, t-1 minute: 42°C, t minute: 45°C. From the above temperature time series, the temperature time series of cell B shows a significant increase in temperature change, especially from t-2 minutes to t-1 minutes, the temperature suddenly rises from 38°C to 42°C. This drastic temperature change exceeds the normal operating range. By analyzing the fluctuations of the temperature time series, the system determines that the temperature change data at this time has increased significantly, so it will immediately trigger the calculation and processing flow based on the temperature data to further analyze the temperature change characteristics of cell B and possible causes, such as thermal management system failure, abnormal chemical reaction inside the cell, etc.

[0046] In an exemplary embodiment, after determining the message alarm content of the energy storage fault based on the first comparison result and the second comparison result, the above method also includes: recording the processing result corresponding to the message alarm content; when the processing result is that the alarm is eliminated, starting a new fault warning determination process; when the processing result is that the alarm exists, initiating a maintenance process for the battery cluster.

[0047] Optionally, in a battery energy storage power station, the monitoring system detects that the temperature of the battery cell of battery cluster A has increased significantly, triggering a temperature alarm. After receiving this alarm, the operation and maintenance personnel immediately process battery cluster A and record the alarm processing results, including information such as the cause of the fault, the measures taken, and the time when the alarm was eliminated. Based on the processing results, the system confirms that the abnormal temperature alarm of battery cluster A has been eliminated, and then automatically starts a new fault warning determination process, continues to monitor the operating status of the entire battery energy storage power station, and looks for new potential faults. However, if during the inspection process, the operation and maintenance personnel find that the abnormal temperature of the battery cell of battery cluster B is caused by a design defect of the thermal management system and cannot be repaired immediately, or although measures have been taken, the battery cell temperature is still higher than the safety threshold, the processing result is that the alarm exists. At this time, the system will initiate a maintenance process for battery cluster B, including assigning a professional maintenance team, providing detailed fault information and maintenance suggestions, such as temporarily reducing the power output of battery cluster B and limiting its working state until the design defect is repaired or the faulty component is replaced to ensure that the temperature of battery cluster B can be restored to a safe range. Through the above implementation steps, closed-loop management of battery energy storage power station fault warnings is achieved, ensuring efficient and accurate fault handling, while also providing valuable data and experience for subsequent system optimization.

[0048] Obviously, the embodiments described above are only some embodiments of the present application, not all embodiments. In order to better understand the above method, the above process is described below in conjunction with the embodiments, but it is not intended to limit the technical solutions of the embodiments of the present application, specifically:

[0049] An optional embodiment of the present application provides a temperature fault warning method for a battery energy storage power station to solve the problems of inaccurate temperature control and untimely fault warning in the battery energy storage system. The method divides the temperature fault of the energy storage system into three categories: temperature fault, temperature difference fault and temperature characteristic fault. The system temperature state is monitored by monitoring the characteristic temperature of the battery; the system temperature difference state is monitored by monitoring the temperature difference; and the system temperature distribution characteristic state is monitored by judging the temperature distribution characteristics of the battery. By monitoring the three types of temperature states, various temperature faults of the energy storage system can be identified, and early warning of thermal runaway can be given.

[0050] Optional, Figure 3 This is a flow chart of a temperature fault warning method for a battery energy storage power station according to an embodiment of the present application; it specifically includes the following steps:

[0051] Step 1: Calculate the characteristic temperature. The battery compartment is a battery system integrated according to a certain series-parallel structure. Taking the common distributed controlled air-cooled energy storage system as an example, it is usually composed of different levels according to the battery cell-battery pack-battery cluster-battery compartment. Each battery cluster corresponds to an energy conversion system (PCS), that is, the battery system is controlled and operated according to the PCS-battery cluster. Collect the temperatures of all cells in the battery cluster and calculate the characteristic temperature of the cluster. The characteristic temperature includes the highest cell temperature, the lowest cell temperature and the average cell temperature in the cluster.

[0052] Step 2: Temperature monitoring. Set the absolute temperature threshold. The absolute temperature threshold includes the highest temperature threshold and the lowest temperature threshold. For example, the highest temperature threshold is set to 50°C and the lowest temperature threshold is set to 10°C. At the same time, multiple thresholds can be set according to actual conditions. For example, the high temperature threshold can be set to three levels of [45, 50, 55]°C, and the low temperature threshold can be set to [15, 10, 0]°C. During the operation of the battery cluster, calculate the characteristic temperature according to step 1 and perform absolute temperature monitoring. When the battery temperature is higher than the upper threshold or lower than the lower threshold, an absolute temperature alarm is issued. Figure 4 shown. Figure 4 is a temperature monitoring curve diagram according to an embodiment of the present application.

[0053] Step 3: Temperature difference monitoring. The difference between the highest and lowest temperatures of the batteries in the cluster is defined as the temperature difference within the cluster: t maxmin =t max -t min . Set the temperature difference threshold within the cluster, such as setting the temperature difference threshold to 13°C. At the same time, according to the actual situation, you can set multiple thresholds, such as the temperature difference threshold can be set to [10,13,15]°C. During the operation of the battery cluster, calculate the characteristic temperature according to step 1, calculate the temperature difference within the cluster, and when the battery temperature difference is higher than the threshold, a temperature difference alarm is issued. Figure 5 shown. Figure 5 It is a temperature difference monitoring curve diagram according to an embodiment of the present application.

[0054] Step 4: Temperature characteristic monitoring. Depending on the current heat generation status of the battery cell, the design of the thermal management system, the system power compliance and other factors, the temperature of all battery cells is not exactly the same, but in the short term, the temperature distribution characteristics of each battery cell are similar. When the temperature distribution of each battery cell changes significantly, it means that the heat generation status of a battery cell is abnormal or the thermal management system has failed, etc., which requires special attention. Specifically, the following steps are included:

[0055] Step 1: The temperature of all cells in the battery cluster is formed into a table data T = [t1, t2, ..., t n ], where t n is the temperature of the nth battery in the battery cluster.

[0056] Step 2: Temperature normalization, where tsn is the normalized temperature of the nth battery in the battery cluster, t max is the maximum temperature of the battery in the battery cluster, t min is the lowest battery temperature in the battery cluster. After normalization, the temperatures of all batteries in the battery cluster are distributed in the interval [0, 1]. Figure 6 shown. Figure 6 It is a normalized temperature distribution characteristic curve diagram of a battery cluster at a certain moment according to an embodiment of the present application.

[0057] Step 3: For cell n, record its temperature time series T according to the preset time step. sn =[t sn,1 ,t sn,2 ,…,t sn,m ]. Among them, t sn,m is the mth temperature data of cell n. According to actual needs, the time step can be set to 1s, 1min, or 1 cycle, etc. If the time step is set to 1 cycle, then t sn,m It is the average temperature, maximum temperature in the mth cycle, or the temperature at a specific battery state of charge soc, etc.

[0058] Step 4: For cell n, calculate T according to step 3 sn Data, under normal operating conditions of all battery cell heat generation and heat dissipation characteristics, T sn The sequence data is relatively flat. Set a temperature characteristic threshold. For example, if the temperature characteristic threshold is set to 0.2, when T sn The temperature value inside the room fluctuates violently and increases or decreases significantly, that is, |T sn,m+1 -T sn,m |≥0.2, it means that the heat generation or heat dissipation state of the battery cell has changed dramatically, that is, the degradation state of the battery cell or the thermal management system has changed significantly, and an early warning is required and special attention should be paid. Figure 7 As shown, Figure 7 is a normalized temperature change characteristic curve of a battery according to an embodiment of the present application, from Figure 7 It can be seen that the temperature characteristic of a certain battery cell is 0.6. Starting from time t, the battery cell temperature changes significantly and the temperature characteristic rises to 0.9, which means that starting from time t, the heat generation or heat dissipation characteristics of the battery cell change and exceed the threshold. It may be abnormal heating of the battery cell or a failure of the thermal management system, which requires special attention.

[0059] Step 5: Output operation and maintenance suggestions. When the battery cluster temperature, temperature difference and temperature characteristic warnings are triggered, operation and maintenance suggestions are output respectively, as follows:

[0060] (1) When temperature monitoring is abnormal, the output operation and maintenance recommendations are as follows: If the maximum cell temperature exceeds the high temperature monitoring threshold, it is necessary to reduce the power and exit the operating state if necessary. At the same time, it is necessary to check whether the cell status and thermal management system status are normal; if the minimum cell temperature exceeds the low temperature monitoring threshold, it is necessary to promptly activate the thermal management system to increase the cell temperature. At the same time, it is necessary to check whether the cell status and thermal management system status are normal.

[0061] (2) When the temperature difference monitoring is abnormal, the output operation and maintenance recommendation is: the battery cell temperature difference exceeds the threshold range, and it is necessary to check whether the high-temperature battery cell and thermal management system are normal. If necessary, it is necessary to reduce the power or exit the operating state.

[0062] (3) When the temperature characteristic monitoring is abnormal, the output operation and maintenance recommendation is: the temperature distribution characteristics of the battery cell are abnormal, and the temperature of the nth battery cell rises or falls abnormally. It is necessary to check whether the abnormal battery cell, thermal management system, etc. are normal. If necessary, it is necessary to reduce the power or exit the operating state.

[0063] It should be noted that the setting of thresholds needs to be based on multiple factors such as battery type, working environment, thermal management design, etc., to avoid setting too wide or too narrow thresholds that lead to frequent false alarms or missed alarms. The threshold setting should be fully verified by experiments and data analysis to ensure its scientificity and effectiveness. The accuracy and integrity of battery temperature data are crucial to the accuracy of fault warning. The monitoring system should ensure the accuracy and stability of the sensor, calibrate it regularly, and avoid false warnings caused by sensor failure or data transmission errors. At the same time, it should ensure that the temperature data of all cells are collected and analyzed in a timely and complete manner to avoid incomplete fault judgment due to missing data. In battery energy storage systems, temperature changes may occur rapidly, so real-time monitoring and rapid response mechanisms are the key to the success of this method. The system should have real-time data processing capabilities, and be able to quickly start the warning and processing process after detecting abnormal temperature conditions, provide timely information and suggestions to operation and maintenance personnel, and avoid delays that lead to more serious consequences.

[0064] In summary, the optional embodiments of the present application obtain the characteristic temperature of the battery cluster by calculation, calculate the maximum temperature, minimum temperature, temperature difference, and normalized temperature of the battery cluster, and formulate high temperature threshold, low temperature threshold, temperature difference threshold, and temperature characteristic threshold. When the characteristic temperature of the battery cluster is too high, too low and exceeds the threshold, or when the temperature difference of the battery cell is too large and exceeds the threshold, or when the temperature characteristic changes exceed the threshold, the battery or thermal management system is reminded of abnormality, and operation and maintenance suggestions are given. The above method is used to obtain the characteristic temperature of the battery cluster by calculation and formulate the corresponding threshold early warning method, which can realize comprehensive, accurate and timely monitoring of the temperature status of the battery energy storage system, provide targeted operation and maintenance suggestions, effectively prevent safety issues such as thermal runaway, and optimize resource utilization, improve operation and maintenance efficiency, and provide strong guarantees for the long-term stable operation and economic benefits of the battery energy storage system.

[0065] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0066] In this embodiment, a device for determining a fault warning is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0067] Figure 8 : is a structural block diagram of a device for determining a fault warning according to an embodiment of the present application, the device comprising:

[0068] A collection module 82, used to collect temperature data corresponding to multiple cells in the battery cluster;

[0069] a calculation module 84, configured to calculate a cluster characteristic temperature of a battery cluster and an intra-cluster temperature difference within the battery cluster according to the temperature data, wherein the temperature difference is used to indicate a temperature difference between a maximum battery cell temperature and a minimum battery cell temperature within the battery cluster;

[0070] A comparison module 86 is used to compare the cluster characteristic temperature with the absolute temperature threshold to obtain a first comparison result; and / or compare the temperature difference within the cluster with the temperature difference threshold to obtain a second comparison result;

[0071] The determination module 88 is used to determine the message alarm content of the energy storage fault based on the first comparison result and the second comparison result.

[0072] The above device collects temperature data corresponding to multiple cells in a battery cluster; calculates the cluster characteristic temperature of the battery cluster and the intra-cluster temperature difference in the battery cluster according to the temperature data, wherein the temperature difference is used to indicate the temperature difference between the highest cell temperature and the lowest cell temperature in the battery cluster; compares the cluster characteristic temperature with the absolute temperature threshold to obtain a first comparison result; and / or compares the intra-cluster temperature difference with the temperature difference threshold to obtain a second comparison result; and determines the message alarm content of the energy storage fault based on the first comparison result and the second comparison result. The above technical solution solves the problems of inaccurate temperature control and untimely fault warning in the battery energy storage system. Furthermore, by real-time monitoring and analysis of the temperature data of the cells in the battery cluster, calculating the characteristic temperature and temperature difference, and comparing them with the threshold, the fault state is determined and the corresponding alarm is triggered, so as to realize the timely warning of abnormal temperature in the battery energy storage power station.

[0073] In an exemplary embodiment, the above-mentioned device also includes: an identification module, which is used to identify the alarm type included in the message alarm content after determining the message alarm content of the energy storage fault based on the first comparison result and the second comparison result; select a target operation and maintenance strategy that meets the alarm type from a preset strategy database; and use the target operation and maintenance strategy to control the operation of the power station containing the battery cluster.

[0074] In an exemplary embodiment, the above-mentioned identification module is also used to select a first target operation and maintenance strategy of lowering the operating state of the battery cluster and checking the battery cells in the battery cluster when the alarm type is temperature monitoring abnormality; select a second target operation and maintenance strategy of checking the high-temperature battery cells in the battery cluster and controlling the operating state of the high-temperature battery cells when the alarm type is temperature difference monitoring abnormality; and select a third target operation and maintenance strategy of checking the abnormal battery cells with abnormally increased or decreased temperature in the battery cluster and controlling the operating state of the abnormal battery cells when the alarm type is abnormal temperature distribution characteristics of the battery cells in the battery cluster.

[0075] In an exemplary embodiment, the above-mentioned device also includes: a processing module, which is used to collect temperature data corresponding to multiple battery cells in the battery cluster, pre-process the temperature data to obtain a temperature list; record the temperature time series of each column of temperature values ​​in the temperature list according to the time change according to a preset time step; determine whether to perform calculation processing based on the temperature data according to the sequence fluctuation of the temperature time series.

[0076] In an exemplary embodiment, the above-mentioned processing module is also used to determine not to perform calculation processing on the temperature data when the sequence fluctuation indicates that the temperature change data is relatively gentle; and to determine to perform calculation processing on the temperature data when the sequence fluctuation indicates that the temperature change data has increased or decreased significantly.

[0077] In an exemplary embodiment, the above-mentioned device also includes: a recording module, which is used to record the processing result corresponding to the message alarm content after determining the message alarm content of the energy storage fault based on the first comparison result and the second comparison result; when the processing result is that the alarm is eliminated, start a new fault warning determination process; when the processing result is that the alarm exists, initiate a maintenance process for the battery cluster.

[0078] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0079] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0080] S1, collecting temperature data corresponding to multiple cells in the battery cluster;

[0081] S2, calculating the cluster characteristic temperature of the battery cluster and the intra-cluster temperature difference within the battery cluster according to the temperature data, wherein the temperature difference is used to indicate the temperature difference between the highest battery cell temperature and the lowest battery cell temperature within the battery cluster;

[0082] S3, comparing the cluster characteristic temperature with the absolute temperature threshold to obtain a first comparison result; and / or comparing the temperature difference within the cluster with the temperature difference threshold to obtain a second comparison result;

[0083] S4. Determine the message alarm content of the energy storage fault based on the first comparison result and the second comparison result.

[0084] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0085] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0086] An embodiment of the present application further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps in any one of the above method embodiments are performed.

[0087] An embodiment of the present application further provides another computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0088] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0089] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0090] S1, collecting temperature data corresponding to multiple cells in the battery cluster;

[0091] S2, calculating the cluster characteristic temperature of the battery cluster and the intra-cluster temperature difference within the battery cluster according to the temperature data, wherein the temperature difference is used to indicate the temperature difference between the highest battery cell temperature and the lowest battery cell temperature within the battery cluster;

[0092] S3, comparing the cluster characteristic temperature with the absolute temperature threshold to obtain a first comparison result; and / or comparing the temperature difference within the cluster with the temperature difference threshold to obtain a second comparison result;

[0093] S4. Determine the message alarm content of the energy storage fault based on the first comparison result and the second comparison result.

[0094] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0095] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0096] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0097] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining a fault warning, characterized in that: include: Collect temperature data corresponding to multiple cells in the battery cluster; Calculating a cluster characteristic temperature of the battery cluster and an intra-cluster temperature difference within the battery cluster according to the temperature data, wherein the temperature difference is used to indicate a temperature difference between a maximum battery cell temperature and a minimum battery cell temperature within the battery cluster; comparing the cluster characteristic temperature with an absolute temperature threshold to obtain a first comparison result; and / or comparing the intra-cluster temperature difference with a temperature difference threshold to obtain a second comparison result; The message alarm content of the energy storage fault is determined based on the first comparison result and the second comparison result.

2. The method according to claim 1, characterized in that After determining the message alarm content of the energy storage fault based on the first comparison result and the second comparison result, the method further includes: Identify the alarm type included in the message alarm content; Select a target operation and maintenance strategy that matches the alarm type from a preset strategy database; The target operation and maintenance strategy is used to control the operation of a power station including the battery cluster.

3. The method according to claim 2, characterized in that Select a target operation and maintenance strategy that matches the alarm type from the preset strategy database, including: When the alarm type is temperature monitoring abnormality, a first target operation and maintenance strategy is selected to reduce the operating state of the battery cluster and check the cells in the battery cluster; When the alarm type is temperature difference monitoring abnormality, selecting a second target operation and maintenance strategy of checking the high-temperature cells in the battery cluster and controlling the operating state of the high-temperature cells; When the alarm type is that the temperature distribution characteristics of the battery cells in the battery cluster are abnormal, a third target operation and maintenance strategy is selected to check the abnormal battery cells with abnormally increased or decreased temperatures in the battery cluster and control the operating state of the abnormal battery cells.

4. The method according to claim 1, characterized in that: After collecting temperature data corresponding to a plurality of battery cells in the battery cluster, the method further includes: Preprocessing the temperature data to obtain a temperature list; According to a preset time step, respectively record the temperature time series of each column of temperature values ​​in the temperature list according to the time change; Whether to perform calculation processing based on the temperature data is determined according to the sequence fluctuation of the temperature time series.

5. The method according to claim 4, characterized in that Determining whether to perform calculation processing based on the temperature data according to the sequence fluctuation of the temperature time series includes: In the case where the sequence fluctuation indicates that the temperature change data is relatively gentle, determining not to perform calculation processing on the temperature data; In the case where the sequence fluctuation indicates that the temperature change data increases or decreases significantly, it is determined to perform calculation processing on the temperature data.

6. The method according to claim 1, characterized in that After determining the message alarm content of the energy storage fault based on the first comparison result and the second comparison result, the method further includes: Record the processing result corresponding to the message alarm content; When the processing result is that the alarm is eliminated, a new fault warning determination process is started; When the processing result is that an alarm exists, a maintenance process for the battery cluster is initiated.

7. A device for determining a fault warning, characterized in that: include: A collection module is used to collect temperature data corresponding to multiple cells in a battery cluster; a calculation module, used for calculating a cluster characteristic temperature of a battery cluster and an intra-cluster temperature difference within the battery cluster according to the temperature data, wherein the temperature difference is used for indicating a temperature difference between a maximum battery cell temperature and a minimum battery cell temperature within the battery cluster; A comparison module, configured to compare the cluster characteristic temperature with an absolute temperature threshold to obtain a first comparison result; and / or to compare the temperature difference within the cluster with a temperature difference threshold to obtain a second comparison result; A determination module is used to determine the message alarm content of the energy storage fault based on the first comparison result and the second comparison result.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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