Short-circuit fault assessment method, device and equipment based on energy storage system and medium

Abstract

The invention relates to the technical field of energy storage, and discloses an energy storage system-based short-circuit fault assessment method, device and equipment and a medium, and the method comprises the steps: obtaining an LOF value corresponding to each battery; forming a group of data by the LOF value corresponding to each battery, calculating a standard deviation of the group of data, and generating an outlier degree value corresponding to each battery according to the average value, the battery number, the standard deviation and the LOF value corresponding to each battery; selecting the battery with the outlier degree value greater than a preset degree value as an abnormal battery, and obtaining an OCV-SOC curve corresponding to the battery number of the abnormal battery; acquiring a phase change point on the OCV-SOC curve, and selecting a charge state value corresponding to the phase change point as a current charge state value; and generating a short-circuit resistance value of the abnormal battery, and packaging the short-circuit resistance value of the abnormal battery and the battery number into a fault evaluation message of the energy storage system. The method is beneficial for improving the evaluation efficiency of the short-circuit fault.

Description

Technical Field

[0001] The present application relates to the technical field of energy storage, and particularly to a short - circuit fault assessment method, device, equipment and medium based on an energy storage system. Background Art

[0002] In recent years, with the continuous promotion of the goals of carbon peak and carbon neutrality, energy storage systems have seen explosive growth. In addition, due to the electrochemical characteristics of current mainstream energy storage technologies, energy storage systems are prone to frequent safety accidents, which has attracted wide attention.

[0003] Among them, short - circuit faults are one of the key factors leading to safety accidents. However, the voltage change in the early stage is not obvious, with strong concealment and difficult to be detected in time. When entering the middle stage, the internal temperature begins to rise slowly and the electrochemical performance gradually deteriorates. When entering the late stage, the battery voltage will show a sharp downward trend, accompanied by the instantaneous release of a large amount of heat, which will further induce a chain exothermic reaction, resulting in thermal runaway.

[0004] Based on the above analysis, although the fault characteristics in the early stage are not obvious, the duration of this stage is relatively long. Therefore, making full use of the early safety time window and timely evaluating short - circuit faults is the key to improving the safety of energy storage systems. Therefore, how to evaluate short - circuit faults in energy storage systems is a technical problem that urgently needs to be solved. Summary of the Invention

[0005] Embodiments of the present application provide a short - circuit fault assessment method, device, equipment and medium based on an energy storage system to solve the technical problem of how to evaluate short - circuit faults in an energy storage system.

[0006] In a first aspect, embodiments of the present application provide a short - circuit fault assessment method based on an energy storage system, which is applied to an electronic device. The electronic device is connected to an energy storage system, and the energy storage system includes multiple batteries. The short - circuit fault assessment method includes:

[0007] Obtain the voltage values of multiple batteries, store the voltage values of multiple batteries in a list to obtain voltage data;

[0008] Obtain the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to obtain a total value, divide the total value by the number of batteries to obtain an average value;

[0009] Form a set of data with the LOF values corresponding to each battery, calculate the standard deviation of the set of data, and generate an outlier degree value corresponding to each battery according to the average value, the number of batteries, the standard deviation, the LOF value corresponding to each battery, and a first generation model;

[0010] Select the batteries with an outlier degree value greater than the preset degree value as abnormal batteries, and obtain the OCV-SOC curve corresponding to the battery number of the abnormal batteries;

[0011] Obtain the phase change points on the OCV-SOC curve, obtain the state of charge values corresponding to the phase change points, and select the state of charge values corresponding to the phase change points as the current state of charge values;

[0012] Obtain the deviation value between the current state of charge value and the initial state of charge value, and multiply the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery;

[0013] Generate the short-circuit resistance value of the abnormal battery according to the self-discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and encapsulate the short-circuit resistance value of the abnormal battery and the battery number into the fault assessment message of the energy storage system.

[0014] In a possible implementation manner of the first aspect, the obtaining the voltage values of multiple batteries and storing the voltage values of the multiple batteries in a list to obtain voltage data includes:

[0015] Access the coupling model in the energy storage system, obtain the voltage values of multiple batteries from the coupling model, and store the voltage values of the multiple batteries in a list to obtain voltage data.

[0016] In a possible implementation manner of the first aspect, the obtaining the LOF value corresponding to each battery, adding up the LOF values corresponding to each battery to obtain a total value, and dividing the total value by the number of batteries to obtain an average value includes:

[0017] Adopt the LOF algorithm to perform local density detection on the voltage data to obtain the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to obtain a total value, and divide the total value by the number of batteries to obtain an average value.

[0018] In a possible implementation manner of the first aspect, the selecting the batteries with an outlier degree value greater than the preset degree value as abnormal batteries and obtaining the OCV-SOC curve corresponding to the battery number of the abnormal batteries includes:

[0019] Select the batteries with an outlier degree value greater than the preset degree value as abnormal batteries, and obtain the OCV-SOC curve corresponding to the battery number of the abnormal batteries in the stored data of the energy storage system.

[0020] In a possible implementation manner of the first aspect, the obtaining the deviation value between the current state of charge value and the initial state of charge value, and multiplying the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery includes:

[0021] Obtain the initial state of charge value on the OCV-SOC curve;

[0022] When the initial state of charge value is less than the preset state value, obtain the deviation value between the current state of charge value and the initial state of charge value, and multiply the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery.

[0023] In a possible implementation manner of the first aspect, the method for generating the short-circuit resistance value of the abnormal battery according to the self-discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and encapsulating the short-circuit resistance value of the abnormal battery and the battery number into a fault evaluation message of the energy storage system includes:

[0024] Generate the short-circuit resistance value of the abnormal battery according to the self-discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model;

[0025] When the short-circuit resistance value is less than the preset resistance value, encapsulate the short-circuit resistance value of the abnormal battery and the battery number into a fault evaluation message of the energy storage system.

[0026] In a possible implementation manner of the first aspect, after generating the short-circuit resistance value of the abnormal battery according to the self-discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and encapsulating the short-circuit resistance value of the abnormal battery and the battery number into a fault evaluation message of the energy storage system, the short-circuit fault evaluation method includes:

[0027] Create a message window and display the fault evaluation message of the energy storage system through the message window.

[0028] In a second aspect, an embodiment of the present application provides a short-circuit fault evaluation device based on an energy storage system, which is applied to an electronic device. The electronic device is connected to the energy storage system, and the energy storage system includes a plurality of batteries, including:

[0029] A first acquisition module, configured to acquire voltage values of a plurality of batteries, store the voltage values of the plurality of batteries in a list to obtain voltage data;

[0030] A second acquisition module, configured to acquire the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to obtain a total value, and divide the total value by the number of batteries to obtain an average value;

[0031] A generation module, configured to form a set of data from the LOF values corresponding to each battery, calculate the standard deviation of the set of data, and generate an outlier degree value corresponding to each battery according to the average value, the number of batteries, the standard deviation, the LOF value corresponding to each battery, and the first generation model;

[0032] A third acquisition module, configured to select a battery with an outlier degree value greater than the preset degree value as an abnormal battery, and acquire the OCV-SOC curve corresponding to the battery number of the abnormal battery;

[0033] A fourth acquisition module, configured to acquire a phase change point on the OCV-SOC curve, acquire a state of charge value corresponding to the phase change point, and select the state of charge value corresponding to the phase change point as the current state of charge value;

[0034] A fifth acquisition module, configured to acquire a deviation value between the current state of charge value and the initial state of charge value, and multiply the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery;

[0035] An evaluation module, configured to generate a short-circuit resistance value of the abnormal battery according to the self-discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and a second generation model, and encapsulate the short-circuit resistance value of the abnormal battery and the battery number into a fault evaluation message of the energy storage system.

[0036] In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the short-circuit fault evaluation method in the first aspect is implemented.

[0037] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the short-circuit fault evaluation method in the first aspect is implemented.

[0038] In a fifth aspect, an embodiment of the present application provides a computer program product, which when running on an electronic device causes the electronic device to execute the short-circuit fault evaluation method in the first aspect.

[0039] The beneficial effects of the embodiments of the present application are in two aspects. On the one hand, according to the self-discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, a short-circuit resistance value of the abnormal battery is generated, and the short-circuit resistance value of the abnormal battery and the battery number are encapsulated into a fault evaluation message of the energy storage system, solving the technical problem that how to evaluate the short-circuit fault of the energy storage system is an urgent need to be solved. Since the short-circuit fault of the energy storage system is automatically evaluated, the evaluation time of the short-circuit fault is reduced, which is beneficial to improving the evaluation efficiency of the short-circuit fault. On the other hand, manual evaluation is not required and it will not be affected by manual evaluation, which is beneficial to improving the reliability of the fault evaluation message of the energy storage system. Description of the Drawings

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative efforts.

[0041] Figure 1 It is an application scenario diagram of the short - circuit fault evaluation method provided by the embodiment of the present application;

[0042] Figure 2 It is a schematic flow chart of the short - circuit fault evaluation method provided by the embodiment of the present application;

[0043] Figure 3 It is a flow chart for obtaining a fault evaluation message provided by the embodiment of the present application;

[0044] Figure 4 It is a schematic block diagram of the short - circuit fault evaluation device provided by the embodiment of the present application;

[0045] Figure 5 It is a schematic structural diagram of the electronic device provided by the embodiment of the present application;

[0046] Figure 6 It is a sample diagram of the coupling model provided by the embodiment of the present application. Detailed implementation manners

[0047] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0048] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. However, those skilled in the art should understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well - known systems, devices, circuits and methods are omitted to avoid unnecessary details from interfering with the description of the present application.

[0049] It should be understood that when used in the specification of the present application and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their combinations.

[0050] It should also be understood that the term "and / or" used in the specification of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0051] As used in the specification of this application and the appended claims, the term "if" can be construed as "when" or "once" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrases "if determined" or "if [the described condition or event] is detected" can be construed as meaning "once determined" or "in response to determining" or "once [the described condition or event] is detected" or "in response to detecting [the described condition or event]" depending on the context.

[0052] In addition, in the description of the specification of this application and the appended claims, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be construed as indicating or implying relative importance.

[0053] Reference to "one embodiment" or "some embodiments" or the like described in the specification of this application means that a specific feature, structure, or characteristic described in connection with that embodiment is included in one or more embodiments of this application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification do not necessarily all refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized. The terms "comprising", "including", "having" and their variants all mean "including but not limited to", unless otherwise specifically emphasized.

[0054] In addition, the technical solutions between various embodiments can be combined with each other, but it must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions results in contradictions or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0055] The flowcharts shown in the accompanying drawings are only illustrative examples and do not necessarily include all contents and operations / steps, nor do they necessarily need to be executed in the described order. For example, some operations / steps can also be decomposed, combined, or partially merged, so the actual execution order may be changed according to the actual situation.

[0056] The short-circuit fault assessment method provided by the embodiments of this application can be applied to electronic devices such as mobile phones, tablet computers, wearable devices, vehicle-mounted devices, augmented reality (AR) / virtual reality (VR) devices, laptop computers, personal computers, etc. The embodiments of this application do not impose any restrictions on the specific types of electronic devices.

[0057] Please refer to Figure 1 , Figure 1This is an application scenario diagram of the short - circuit fault assessment method provided by the embodiments of the present application, which is described in detail as follows:

[0058] An electronic device is connected to an energy storage system, and the energy storage system includes multiple batteries.

[0059] In the embodiments of the present application, the electronic device can be connected to the energy storage system to obtain the voltage values of multiple batteries from the energy storage system.

[0060] Please refer to Figure 2 , Figure 2 which is a schematic flow diagram of the short - circuit fault assessment method provided by the embodiments of the present application. This method can be applied to an electronic device that is connected to an energy storage system, and the energy storage system includes multiple batteries.

[0061] As Figure 2 shown, the short - circuit fault assessment method provided by the embodiments of the present application includes the following steps, which are described in detail as follows:

[0062] S201: Obtain the voltage values of multiple batteries, store the voltage values of multiple batteries in a list to obtain voltage data;

[0063] Among them, the step of obtaining the voltage values of multiple batteries, storing the voltage values of multiple batteries in a list to obtain voltage data includes:

[0064] Access the coupling model in the energy storage system, obtain the voltage values of multiple batteries from the coupling model, and store the voltage values of multiple batteries in a list to obtain voltage data.

[0065] Among them, the coupling model is a model used to simulate the internal short - circuit of a battery, and the coupling model is composed of an ECM (equivalent circuit model) and an ISC (internal short - circuit).

[0066] Among them, ECM (Electrochemical Model) represents the equivalent circuit model, which is used to describe the electrochemical response and electrical behavior of the battery under normal operating conditions.

[0067] Among them, ISC (Internal Short Circuit) represents the internal short - circuit model, which is used to simulate the internal short - circuit of the battery.

[0068] Refer to Figure 6 , Figure 6 which is a sample diagram of the coupling model provided by the embodiments of the present application, and is described in detail as follows:

[0069] R0: Represents the instantaneous resistance when current passes through the battery.

[0070] U ocv : Represents the open - circuit voltage, that is, the voltage when there is no current output from the battery.

[0071] R ISC : Represents the equivalent resistance for simulating an internal short circuit of the simulated battery. An internal short circuit is a failure mode of the battery. When there is an internal short circuit in the battery, it will cause the battery temperature to rise and even lead to thermal runaway.

[0072] Among them, the coupling model couples the electrochemical characteristics of the battery with the short-circuit behavior, achieving an accurate simulation of the internal short-circuit phenomenon.

[0073] S202, obtain the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to get the total value, divide the total value by the number of batteries to get the average value;

[0074] Among them, the step of obtaining the LOF value corresponding to each battery, adding up the LOF values corresponding to each battery to get the total value, and dividing the total value by the number of batteries to get the average value includes:

[0075] Use the LOF algorithm to perform local density detection on the voltage data to obtain the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to get the total value, and divide the total value by the number of batteries to get the average value.

[0076] Among them, the full Chinese name of the LOF algorithm is: Local Outlier Factor algorithm.

[0077] Among them, the full Chinese name of the LOF value is: Local Outlier Factor value, and the full English name is: LocalOutlier Factor.

[0078] S203, form a set of data with the LOF values corresponding to each battery, calculate the standard deviation of the set of data, and generate the outlier degree value corresponding to each battery according to the average value, the number of batteries, the standard deviation, the LOF value corresponding to each battery, and the first generation model;

[0079] Exemplarily, the first generation model is:

[0080]

[0081] Z n is the outlier degree value corresponding to the nth battery, LOF n is the LOF value corresponding to the nth battery, is the average value, N is the number of batteries, n is the serial number, and σ(LOF) is the standard deviation.

[0082] Among them, the higher the outlier degree value corresponding to the nth battery, the higher the degree to which the LOF value of the nth battery deviates from the value range of other batteries.

[0083] Among them, the lower the outlier degree value corresponding to the nth battery, the lower the degree to which the LOF value of the nth battery deviates from the value range of other batteries.

[0084] S204. Select the battery with an outlier degree value greater than the preset degree value as the abnormal battery, and obtain the OCV-SOC curve corresponding to the battery number of the abnormal battery.

[0085] Among them, the step of selecting the battery with an outlier degree value greater than the preset degree value as the abnormal battery and obtaining the OCV-SOC curve corresponding to the battery number of the abnormal battery includes:

[0086] Select the battery with an outlier degree value greater than the preset degree value as the abnormal battery, and in the stored data of the energy storage system, obtain the OCV-SOC curve corresponding to the battery number of the abnormal battery.

[0087] Among them, if the outlier degree value is greater than the preset degree value, it means that the outlier degree value is higher than expected and there is an abnormality. Select the battery with an outlier degree value greater than the preset degree value as the abnormal battery.

[0088] S205. Obtain the phase change point on the OCV-SOC curve, obtain the state of charge value corresponding to the phase change point, and select the state of charge value corresponding to the phase change point as the current state of charge value.

[0089] Among them, the OCV-SOC curve is a curve that describes the relationship between the open circuit voltage (OCV, Open Circuit Voltage) and the state of charge (SOC, State of Charge) of the battery.

[0090] S206. Obtain the deviation value between the current state of charge value and the initial state of charge value, and multiply the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery.

[0091] Among them, the step of obtaining the deviation value between the current state of charge value and the initial state of charge value, and multiplying the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery includes:

[0092] Obtain the initial state of charge value on the OCV-SOC curve.

[0093] When the initial state of charge value is less than the preset state value, obtain the deviation value between the current state of charge value and the initial state of charge value, and multiply the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery.

[0094] S207. Generate the short-circuit resistance value of the abnormal battery according to the self-discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and encapsulate the short-circuit resistance value of the abnormal battery and the battery number into the fault assessment message of the energy storage system.

[0095] Among them, generating the short - circuit resistance value of the abnormal battery according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and encapsulating the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system, including:

[0096] Generating the short - circuit resistance value of the abnormal battery according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model;

[0097] When the short - circuit resistance value is less than the preset resistance value, encapsulating the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system.

[0098] Exemplarily, the second generation model is:

[0099]

[0100] Q is the self - discharge amount, U is the terminal voltage of the abnormal battery; R C is the short - circuit resistance of the abnormal battery;

[0101] t1 is the first moment, t2 is the second moment; dt represents that the integration variable is time t.

[0102] Among them, the first moment is the time point corresponding to the initial state of charge value;

[0103] Among them, the second moment is the time point corresponding to the current state of charge value.

[0104] Among them, the smaller the short - circuit resistance value, the larger the short - circuit current, and the higher the degree of fault of the abnormal battery;

[0105] Among them, the larger the short - circuit resistance value, the smaller the short - circuit current, and the lighter the degree of fault of the abnormal battery.

[0106] Among them, the energy storage system includes multiple batteries. When the short - circuit resistance value is less than the preset resistance value, it indicates that there is an abnormal battery among the multiple batteries. Because the abnormal battery will break the balance between the batteries, affect the charge - discharge efficiency and capacity of the battery pack, and thus reduce the energy storage and release ability of the energy storage system. After replacing the abnormal battery, the battery pack can restore good consistency, and each battery operates evenly within the safe working range, which is beneficial to improving the energy storage and release ability of the energy storage system. In addition, after replacing the abnormal battery, there is no local overheating, reducing the safety risk caused by local overheating of the energy storage system, which is beneficial to improving the reliability of the energy storage system.

[0107] Among them, when the short - circuit resistance value is not less than the preset resistance value, local repair measures can be taken.

[0108] Among them, after generating the short - circuit resistance value of the abnormal battery according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and encapsulating the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system, the short - circuit fault assessment method includes:

[0109] Create a message window and display the fault assessment message of the energy storage system through the message window.

[0110] By displaying the fault assessment message of the energy storage system, the fault type can be quickly determined through the short - circuit resistance value in the fault assessment message, and the abnormal battery can be locked among multiple batteries in the energy storage system through the battery number in the fault assessment message, avoiding the inefficient mode of checking each battery one by one in traditional detection, significantly shortening the positioning time of the abnormal battery in the energy storage system. In addition, it realizes the transformation from post - detection to early warning, improving the initiative of the energy storage system detection.

[0111] The beneficial effects of the embodiments of this application are in two aspects. On the one hand, generating the short - circuit resistance value of the abnormal battery according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and encapsulating the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system solves the technical problem that how to conduct short - circuit fault assessment on the energy storage system is an urgent problem to be solved. Since the short - circuit fault assessment of the energy storage system is automatically carried out, the assessment time of the short - circuit fault is reduced, which is beneficial to improving the assessment efficiency of the short - circuit fault. On the other hand, there is no need for manual assessment and it will not be affected by manual assessment, which is beneficial to improving the reliability of the fault assessment message of the energy storage system.

[0112] Please refer to Figure 3 , Figure 3 which is the flowchart for obtaining the fault assessment message provided by the embodiments of this application, and is described in detail as follows:

[0113] S301, generate the short - circuit resistance value of the abnormal battery according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model;

[0114] S302, when the short - circuit resistance value is less than the preset resistance value, encapsulate the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system.

[0115] Among them, when the short - circuit resistance value is less than the preset resistance value, encapsulating the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system includes:

[0116] When the short - circuit resistance value is less than the preset resistance value, encapsulate the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system in JSON format.

[0117] JSON (JavaScript Object Notation) is a lightweight data interchange format.

[0118] In the embodiments of the present application, since the short-circuit fault assessment of the energy storage system is automatically performed, the assessment time of the short-circuit fault is reduced, which is beneficial to improving the assessment efficiency of the short-circuit fault.

[0119] Corresponding to the short-circuit fault assessment method described in the above embodiments, please refer to Figure 4 , Figure 4 which is a schematic block diagram of the short-circuit fault assessment device provided by the embodiments of the present application. Figure 4 The short-circuit fault assessment device 400 shown can be applied to an electronic device in the application scenario diagram shown in Figure 1 Taking the electronic device as an example, the short-circuit fault assessment device 400 shown in Figure 4 will be elaborated in detail below. The short-circuit fault assessment device 400 may include a first acquisition module 401, a second acquisition module 402, a generation module 403, a third acquisition module 404, a fourth acquisition module 405, a fifth acquisition module 406, and an evaluation module 407.

[0120] The first acquisition module 401 is configured to acquire voltage values of multiple batteries, store the voltage values of the multiple batteries in a list, and obtain voltage data.

[0121] The second acquisition module 402 is configured to acquire the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to obtain a total value, and divide the total value by the number of batteries to obtain an average value.

[0122] The generation module 403 is configured to form a set of data with the LOF values corresponding to each battery, calculate the standard deviation of the set of data, and generate an outlier degree value corresponding to each battery according to the average value, the number of batteries, the standard deviation, the LOF value corresponding to each battery, and the first generation model.

[0123] The third acquisition module 404 is configured to select the batteries with outlier degree values greater than a preset degree value as abnormal batteries, and acquire the OCV-SOC curve corresponding to the battery numbers of the abnormal batteries.

[0124] The fourth acquisition module 405 is configured to acquire the phase change points on the OCV-SOC curve, acquire the state of charge values corresponding to the phase change points, and select the state of charge values corresponding to the phase change points as the current state of charge values.

[0125] The fifth acquisition module 406 is configured to acquire the deviation value between the current state of charge value and the initial state of charge value, and multiply the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery.

[0126] An evaluation module 407 is configured to generate a short - circuit resistance value of an abnormal battery according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and a second generation model, and encapsulate the short - circuit resistance value of the abnormal battery and the battery number into a fault evaluation message of the energy storage system.

[0127] It should be noted that each embodiment in this specification is described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other.

[0128] The beneficial effects of the embodiments of this application are in two aspects. On the one hand, according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, a short - circuit resistance value of the abnormal battery is generated, and the short - circuit resistance value of the abnormal battery and the battery number are encapsulated into a fault evaluation message of the energy storage system, which solves the technical problem that how to evaluate the short - circuit fault of the energy storage system is an urgent problem to be solved. Since the short - circuit fault of the energy storage system is automatically evaluated, the evaluation time of the short - circuit fault is reduced, which is beneficial to improving the evaluation efficiency of the short - circuit fault. On the other hand, there is no need for manual evaluation and it will not be affected by manual evaluation, which is beneficial to improving the reliability of the fault evaluation message of the energy storage system.

[0129] Please refer to Figure 5 , Figure 5 which is a schematic structural diagram of the electronic device provided by the embodiments of this application.

[0130] As Figure 5 shown, Figure 5 the electronic device 2 includes: at least one processor 20, a memory 21, and a computer program 22 stored in the memory 21 and executable on the at least one processor 20. When the processor 20 executes the computer program 22, the steps in any of the above - mentioned method embodiments are implemented.

[0131] The electronic device 2 may include, but is not limited to, the processor 20 and the memory 21. Those skilled in the art can understand that Figure 5 this is only an example of the electronic device 2 and does not constitute a limitation on the electronic device 2. It may include more or fewer components than shown in the figure, or combine some components, or different components. For example, it may also include input - output devices, network access devices, etc.

[0132] Among them, the processor 20 is configured to run the computer program 22 stored in the memory 21 and implement the following steps when executing the computer program 22:

[0133] Obtain voltage values of multiple batteries, store the voltage values of the multiple batteries in a list to obtain voltage data;

[0134] Obtain the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to get the total value, and divide the total value by the number of batteries to obtain the average value;

[0135] Form a set of data with the LOF values corresponding to each battery, calculate the standard deviation of the set of data, and generate the outlier degree value corresponding to each battery according to the average value, the number of batteries, the standard deviation, the LOF value corresponding to each battery, and the first generation model;

[0136] Select the batteries with outlier degree values greater than the preset degree value as abnormal batteries, and obtain the OCV-SOC curve corresponding to the battery numbers of the abnormal batteries;

[0137] Obtain the phase change points on the OCV-SOC curve, obtain the state of charge values corresponding to the phase change points, and select the state of charge values corresponding to the phase change points as the current state of charge values; obtain the deviation value between the current state of charge value and the initial state of charge value, multiply the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery; generate the short-circuit resistance value of the abnormal battery according to the self-discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and encapsulate the short-circuit resistance value of the abnormal battery and the battery number into the fault assessment message of the energy storage system.

[0138] In some embodiments, the processor 20 is used to implement:

[0139] Access the coupling model in the energy storage system, obtain the voltage values of multiple batteries from the coupling model, and store the voltage values of the multiple batteries in a list to obtain voltage data.

[0140] In some embodiments, the processor 20 is used to implement:

[0141] Adopt the LOF algorithm to perform local density detection on the voltage data to obtain the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to get the total value, and divide the total value by the number of batteries to obtain the average value.

[0142] In some embodiments, the processor 20 is used to implement:

[0143] Select the batteries with outlier degree values greater than the preset degree value as abnormal batteries, and obtain the OCV-SOC curve corresponding to the battery numbers of the abnormal batteries from the stored data in the energy storage system.

[0144] In some embodiments, the processor 20 is used to implement:

[0145] Obtain the initial state of charge value on the OCV-SOC curve;

[0146] When the initial state of charge value is less than the preset state value, obtain the deviation value between the current state of charge value and the initial state of charge value, and multiply the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery.

[0147] In some embodiments, the processor 20 is configured to implement:

[0148] Generate the short-circuit resistance value of the abnormal battery according to the self-discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model;

[0149] When the short-circuit resistance value is less than the preset resistance value, encapsulate the short-circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system.

[0150] In some embodiments, the processor 20 is configured to implement:

[0151] Create a message window and display the fault assessment message of the energy storage system through the message window.

[0152] The so-called processor 20 may be a central processing unit (CPU), and this processor 20 may also be other general-purpose processors, digital signal processors, application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or this processor may also be any conventional processor, etc.

[0153] In some embodiments, the memory 21 may be an internal storage unit of the electronic device 2, such as the hard disk or memory of the electronic device 2. In other embodiments, the memory 21 may also be an external storage device of the electronic device 2. Further, the memory 21 may also include both the internal storage unit and the external storage device of the electronic device 2. The memory 21 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program, etc. The memory 21 may also be used to temporarily store data that has been output or will be output.

[0154] It should be noted that for the information interaction, execution process, etc. between the above-mentioned devices / units, since they are based on the same concept as the method embodiments of the present application, their specific functions and the technical effects brought about can be specifically referred to in the method embodiment part, and will not be elaborated here.

[0155] An embodiment of the present application provides a computer-readable storage medium storing a computer program, which when executed by a processor can implement the steps in the above-mentioned method embodiments.

[0156] Program code is stored in the computer-readable storage medium and can be called by the processor to execute the short-circuit fault assessment method described in the above method embodiments.

[0157] The computer-readable storage medium has a storage space for program code.

[0158] The program code includes the code for any step in the short-circuit fault assessment method described in the above method embodiments.

[0159] For example, when the program code is called by the processor, the following steps can be executed:

[0160] Obtain the voltage values of multiple batteries, store the voltage values of the multiple batteries in a list to obtain voltage data;

[0161] Obtain the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to obtain a total value, divide the total value by the number of batteries to obtain an average value;

[0162] Form a set of data with the LOF values corresponding to each battery, calculate the standard deviation of the set of data, and generate the outlier degree value corresponding to each battery according to the average value, the number of batteries, the standard deviation, the LOF value corresponding to each battery, and the first generation model;

[0163] Select the batteries with outlier degree values greater than the preset degree value as abnormal batteries, and obtain the OCV-SOC curve corresponding to the battery numbers of the abnormal batteries;

[0164] Obtain the phase change points on the OCV-SOC curve, obtain the state of charge values corresponding to the phase change points, and select the state of charge values corresponding to the phase change points as the current state of charge values;

[0165] Obtain the deviation value between the current state of charge value and the initial state of charge value, multiply the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery;

[0166] Generate the short-circuit resistance value of the abnormal battery according to the self-discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and encapsulate the short-circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system.

[0167] For the specific implementation of the above operations, reference can be made to the previous embodiments and will not be elaborated here.

[0168] Since the computer program stored in the computer-readable storage medium can execute any short-circuit fault evaluation method provided by the embodiments of the present application, the computer-readable storage medium can achieve the beneficial effects that any short-circuit fault evaluation method provided by the embodiments of the present application can achieve. For details, see the previous embodiments and will not be repeated here.

[0169] The embodiments of the present application provide a computer program product. When the computer program product runs on an electronic device, the electronic device is enabled to execute the above short-circuit fault evaluation method.

[0170] When the computer program product is loaded by the electronic device, the following steps can be executed:

[0171] Obtain the voltage values of multiple batteries, store the voltage values of the multiple batteries in a list to obtain voltage data;

[0172] Obtain the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to obtain a total value, divide the total value by the number of batteries to obtain an average value;

[0173] Form a set of data with the LOF values corresponding to each battery, calculate the standard deviation of the set of data, and generate an outlier degree value corresponding to each battery according to the average value, the number of batteries, the standard deviation, the LOF value corresponding to each battery, and the first generation model;

[0174] Select the batteries with the outlier degree value greater than the preset degree value as abnormal batteries, and obtain the OCV-SOC curve corresponding to the battery numbers of the abnormal batteries;

[0175] Obtain the phase change points on the OCV-SOC curve, obtain the state of charge values corresponding to the phase change points, and select the state of charge values corresponding to the phase change points as the current state of charge values;

[0176] Obtain the deviation value between the current state of charge value and the initial state of charge value, and multiply the deviation value by the battery capacity of the abnormal battery to obtain the self-discharge amount of the abnormal battery;

[0177] Generate the short-circuit resistance value of the abnormal battery according to the self-discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and encapsulate the short-circuit resistance value of the abnormal battery and the battery number into a fault evaluation message of the energy storage system.

[0178] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0179] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiments can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.

[0180] Based on such an understanding, to implement all or part of the processes in the above method embodiments of this application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. The computer-readable medium at least includes: an entity or device that carries the computer program code to an electronic device, a computer memory, a read-only memory (ROM, Read-Only Memory), and a random access memory (RAM, Random Access Memory).

[0181] In the above embodiments, the descriptions of each embodiment have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0182] The above are only the preferred embodiments of this application, and do not limit the patent scope of this application accordingly. Any equivalent structural or equivalent process transformation made by using the content of the specification and drawings of this application, or directly or indirectly applied in other related technical fields, shall be included in the patent protection scope of this application by the same token.

Claims

1. A short-circuit fault assessment method based on an energy storage system, characterized in that Applied to an electronic device, the electronic device is connected to an energy storage system, the energy storage system includes a plurality of batteries, and the short - circuit fault assessment method includes: Obtain the voltage values of a plurality of batteries, store the voltage values of the plurality of batteries in a list to obtain voltage data; Obtain the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to obtain a total value, divide the total value by the number of batteries to obtain an average value; Form a set of data with the LOF values corresponding to each battery, calculate the standard deviation of the set of data, and generate an outlier degree value corresponding to each battery according to the average value, the number of batteries, the standard deviation, the LOF value corresponding to each battery, and a first generation model; Select the batteries with outlier degree values greater than a preset degree value as abnormal batteries, and obtain the OCV - SOC curve corresponding to the battery numbers of the abnormal batteries; Obtain the phase change points on the OCV - SOC curve, obtain the state - of - charge values corresponding to the phase change points, and select the state - of - charge values corresponding to the phase change points as the current state - of - charge values; Obtain the deviation value between the current state - of - charge value and the initial state - of - charge value, multiply the deviation value by the battery capacity of the abnormal battery to obtain the self - discharge amount of the abnormal battery; Generate the short - circuit resistance value of the abnormal battery according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and a second generation model, and encapsulate the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system.

2. The short-circuit fault evaluation method according to claim 1, characterized in that, The obtaining the voltage values of a plurality of batteries, storing the voltage values of the plurality of batteries in a list to obtain voltage data includes: Access the coupling model in the energy storage system, obtain the voltage values of a plurality of batteries from the coupling model, store the voltage values of the plurality of batteries in a list to obtain voltage data.

3. The short-circuit fault evaluation method according to claim 1, wherein The obtaining the LOF value corresponding to each battery, adding up the LOF values corresponding to each battery to obtain a total value, dividing the total value by the number of batteries to obtain an average value includes: Adopt the LOF algorithm to perform local density detection on the voltage data to obtain the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to obtain a total value, divide the total value by the number of batteries to obtain an average value.

4. The short-circuit fault evaluation method according to claim 1, wherein The selecting the batteries with outlier degree values greater than a preset degree value as abnormal batteries, and obtaining the OCV - SOC curve corresponding to the battery numbers of the abnormal batteries includes: Select the batteries with outlier degree values greater than a preset degree value as abnormal batteries, and obtain the OCV - SOC curve corresponding to the battery numbers of the abnormal batteries from the stored data in the energy storage system.

5. The short-circuit fault evaluation method according to claim 1, wherein The obtaining the deviation value between the current state - of - charge value and the initial state - of - charge value, multiplying the deviation value by the battery capacity of the abnormal battery to obtain the self - discharge amount of the abnormal battery includes: Obtain the initial state - of - charge value on the OCV - SOC curve; When the initial state - of - charge value is less than the preset state value, obtain the deviation value between the current state - of - charge value and the initial state - of - charge value, multiply the deviation value by the battery capacity of the abnormal battery to obtain the self - discharge amount of the abnormal battery.

6. The short-circuit fault evaluation method according to claim 1, wherein, The generating the short - circuit resistance value of the abnormal battery according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and a second generation model, and encapsulating the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system includes: Generate the short - circuit resistance value of the abnormal battery according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model; When the short - circuit resistance value is less than the preset resistance value, package the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system.

7. The short-circuit fault evaluation method according to any one of claims 1 to 6, characterized in that After generating the short - circuit resistance value of the abnormal battery according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and packaging the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system, the short - circuit fault assessment method includes: Create a message window and display the fault assessment message of the energy storage system through the message window.

8. A short-circuit fault evaluation device based on an energy storage system, characterized in that Applied to an electronic device, the electronic device is connected to an energy storage system, and the energy storage system includes multiple batteries, including: A first acquisition module, configured to acquire the voltage values of multiple batteries, store the voltage values of multiple batteries in a list to obtain voltage data; A second acquisition module, configured to acquire the LOF value corresponding to each battery, add up the LOF values corresponding to each battery to obtain a total value, divide the total value by the number of batteries to obtain an average value; A generation module, configured to form a set of data from the LOF values corresponding to each battery, calculate the standard deviation of the set of data, and generate the outlier degree value corresponding to each battery according to the average value, the number of batteries, the standard deviation, the LOF value corresponding to each battery, and the first generation model; A third acquisition module, configured to select the battery with the outlier degree value greater than the preset degree value as the abnormal battery, and acquire the OCV - SOC curve corresponding to the battery number of the abnormal battery; A fourth acquisition module, configured to acquire the phase transition point on the OCV - SOC curve, acquire the state - of - charge value corresponding to the phase transition point, and select the state - of - charge value corresponding to the phase transition point as the current state - of - charge value; A fifth acquisition module, configured to acquire the deviation value between the current state - of - charge value and the initial state - of - charge value, and multiply the deviation value by the battery capacity of the abnormal battery to obtain the self - discharge amount of the abnormal battery; An evaluation module, configured to generate the short - circuit resistance value of the abnormal battery according to the self - discharge amount of the abnormal battery, the terminal voltage of the abnormal battery, and the second generation model, and package the short - circuit resistance value of the abnormal battery and the battery number into a fault assessment message of the energy storage system.

9. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the short - circuit fault assessment method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the short - circuit fault assessment method according to any one of claims 1 to 7.

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