An arc detection method, device, electronic equipment, and medium

Abstract

This application provides an arc detection method, apparatus, electronic device, and medium. The method includes: acquiring a DC current signal within a current detection time window of a DC power supply system; determining whether the power spectrum integral ratio of the DC current signal in each preset frequency range meets the first preset condition based on the power spectrum integral ratio of the DC current signal in each preset frequency range and the first preset condition; if there is at least one abnormal preset frequency range where the power spectrum integral ratio does not meet the first preset condition, then determining that an arc has occurred within the detection time window; and determining whether the arc is in a stable arcing stage based on the power spectrum integral ratio of the abnormal preset frequency ranges in multiple consecutive detection windows and the second preset condition, thereby accurately detecting whether there is an arc in the energy storage battery system and further detecting arcs in a stable arcing state.

Description

Technical Field

[0001] This application relates to the field of battery energy storage systems, and more specifically, to an arc detection method, device, electronic device, and medium. Background Technology

[0002] Energy storage battery systems are DC power systems. The characteristics of DC arcs differ significantly from AC arcs, making them difficult to detect with traditional protection devices. DC arcs can be categorized into three types based on their causes and forms: series arc faults, parallel arc faults, and grounding arc faults. Series arc faults are caused by loose metal connectors, damaged wires, or loose wiring contacts in DC systems, resulting in partially connected circuits. These conditions can also occur in energy storage battery systems, making DC arc detection essential. Furthermore, once an arc occurs in an energy storage battery system, the relatively enclosed space causes the arc to tend to stabilize and burn more severely. The frequency domain characteristics of the current during the stable arcing phase are not significantly different from those of the normal arc-free current. Therefore, current methods for detecting the stable arcing phase in DC systems are limited and have low accuracy. Summary of the Invention

[0003] In view of this, the purpose of this application is to provide an arc detection method, device, electronic device and medium that can conveniently and accurately detect an arc in a stable arcing state in an energy storage battery system based on the frequency domain characteristics of a DC signal.

[0004] This application provides an arc detection method, the method comprising:

[0005] Acquire the DC current signal within the current detection time window of the DC power supply system;

[0006] Based on the power spectrum integral ratio of the DC current signal in each preset frequency domain interval and the first preset condition, determine whether the power spectrum integral ratio of each preset frequency domain interval meets the first preset condition.

[0007] If there is at least one abnormal preset frequency domain interval that does not meet the first preset condition, then it is determined that an electric arc occurred within the detection time window;

[0008] Based on the power spectrum integral ratio of abnormal preset frequency domain intervals within multiple consecutive detection windows and the second preset condition, it is determined whether the electric arc is in a stable arcing stage.

[0009] In some embodiments, the arc detection method further includes:

[0010] Based on the judgment results of whether an electric arc has occurred and whether it is in a stable arcing stage, the target processing strategy is determined from a variety of pre-configured processing strategies.

[0011] In some embodiments, the power spectrum integral ratio in the arc detection method is determined by the following method:

[0012] Frequency domain analysis is performed on the DC current signal within the detection time window to determine the power spectrum integral of the DC current signal to be detected in each preset frequency domain interval;

[0013] Obtain the integral of the reference power spectrum for each preset frequency range in the absence of electric arc;

[0014] Based on the power spectrum integral of the target power spectrum and the reference power spectrum integral of each preset frequency domain interval, the power spectrum integral ratio of each preset frequency domain interval is calculated.

[0015] In some embodiments, the reference power spectrum integral for each preset frequency domain interval in the arc detection method is determined by the following method:

[0016] In the absence of an electric arc in the DC power supply system, a reference DC current signal within the detection time window of the DC power supply system is acquired;

[0017] Frequency domain analysis is performed on the reference DC current signal to determine the reference power spectrum integral for each preset frequency domain interval.

[0018] In some embodiments, the arc detection method, based on the power spectrum integral ratio of the DC current signal in each preset frequency domain interval and a first preset condition, determines whether the power spectrum integral ratio of each preset frequency domain interval meets the first preset condition, including:

[0019] The power spectrum integral ratio of each preset frequency domain interval is compared with the first preset threshold of the preset frequency domain interval to determine whether the power spectrum integral ratio of the preset frequency domain interval exceeds the first preset threshold.

[0020] If it exceeds the limit, the preset frequency range is determined to be abnormal;

[0021] If it does not exceed the limit, then the preset frequency range is considered normal.

[0022] In some embodiments, the first preset threshold of the preset frequency domain interval in the arc detection method is determined based on historical experimental DC current data under the same operating conditions.

[0023] In some embodiments, the arc detection method determines whether the arc is in a stable arcing stage based on the power spectrum integral ratio of abnormal preset frequency domain intervals within multiple consecutive detection windows and a second preset condition, including:

[0024] Determine whether an abnormal preset frequency domain interval exists within multiple consecutive detection windows;

[0025] If so, determine whether the frequency domain current characteristics of the abnormal preset frequency domain interval within each detection time window meet the second preset threshold range of the preset frequency domain interval.

[0026] If all conditions are met, the detection result for the arc combustion stage is determined to be the stable arc combustion stage.

[0027] In some embodiments, the second preset threshold range in the arc detection method is determined based on historical experimental DC current data under the same operating conditions.

[0028] In some embodiments, an arc detection device is also provided, the arc detection device comprising:

[0029] The acquisition module is used to acquire the DC current signal within the current detection time window of the DC power supply system.

[0030] The first judgment module is used to determine whether the power spectrum integral ratio of the DC current signal in each preset frequency domain interval meets the first preset condition based on the power spectrum integral ratio of the DC current signal in each preset frequency domain interval and the first preset condition.

[0031] The first determining module is used to determine that an electric arc occurs within the detection time window if there is at least one abnormal preset frequency domain interval that does not meet the first preset condition.

[0032] The second judgment module is used to determine whether the electric arc is in a stable arcing stage based on the power spectrum integral ratio of abnormal preset frequency domain intervals within multiple consecutive detection windows and the second preset condition.

[0033] In some embodiments, an electronic device is also provided, including: a processor, a memory, and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory via the bus, and when the machine-readable instructions are executed by the processor, the steps of the arc detection method are performed.

[0034] In some embodiments, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, performs the steps of the described arc detection method.

[0035] This application provides an arc detection method, device, electronic device, and medium. The method acquires the DC current signal within the current detection time window of a DC power supply system; based on the power spectrum integral ratio of the DC current signal in each preset frequency interval and a first preset condition, it determines whether the power spectrum integral ratio of each preset frequency interval meets the first preset condition; if there is at least one abnormal preset frequency interval that does not meet the first preset condition, it is determined that an arc has occurred within the detection time window; based on the power spectrum integral ratio of abnormal preset frequency intervals within multiple consecutive detection windows and the second preset condition, it is determined whether the arc is in a stable arcing stage. In this way, the difference between normal frequency domain characteristics and abnormal frequency domain characteristics can be distinguished at a finer granular level, thereby determining whether an arc has occurred in the energy storage battery system. Furthermore, it can first detect the occurrence of an arc at a higher detection frequency in a timely manner, and then verify whether it belongs to the stable arcing stage based on the power spectrum integral ratio over a longer time period. This allows for different strategies to be used in a timely manner when an arc is detected or when it is in a stable arcing stage, thus resolving the fault of the energy storage battery system more promptly and preventing stable arcing from causing more serious damage to the sealed energy storage battery system. Attached Figure Description

[0036] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 A flowchart illustrating the method for implementing the arc detection method described in this application is shown;

[0038] Figure 2 A circuit diagram of the energy storage battery system described in an embodiment of this application is shown;

[0039] Figure 3 A circuit diagram of another energy storage battery system according to an embodiment of this application is shown;

[0040] Figure 4 This paper shows a comparison of the current during the stable arc stage and the arc-free stage when the battery pack described in the embodiment of this application is connected to the inverter;

[0041] Figure 5 This paper presents a frequency domain comparison diagram of the stable arcing stage current and the normal arc-free current when the battery pack described in the embodiment of this application is connected to the inverter;

[0042] Figure 6This paper presents a comparison diagram of the current during the stable arc stage and the arc-free stage when the battery pack described in the embodiment of this application is connected to a DC load;

[0043] Figure 7 This paper presents a frequency domain comparison diagram of the stable arcing current and the normal arc-free current when the battery pack described in the embodiment of this application is connected to a DC load.

[0044] Figure 8 A flowchart illustrating the method for determining whether an electric arc is in a stable arcing stage as described in this application is shown.

[0045] Figure 9 A schematic diagram of the arc detection device according to an embodiment of this application is shown;

[0046] Figure 10 A schematic diagram of the structure of the electronic device described in an embodiment of this application is shown. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0048] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0049] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0050] Energy storage battery systems are DC power systems. The characteristics of DC arcs differ significantly from those of AC arcs, making them difficult to detect by traditional protection devices. DC arcs can be classified into three types based on their causes and forms: series arc faults, parallel arc faults, and grounding arc faults. Series arc faults are caused by loose metal connectors, damaged wires, or loose wiring contacts in DC systems, resulting in partial connections. These conditions can also occur in energy storage battery systems, making DC arc detection essential.

[0051] However, the frequency domain characteristics of the current during the stable arcing stage are not much different from those of the normal arc-free current. Moreover, when the battery pack of the energy storage battery system is connected to the inverter and DC load, the characteristic frequency band will change, making it inconvenient for arc detection or resulting in low detection accuracy.

[0052] Based on this, embodiments of this application provide an arc detection method, device, electronic device, and medium. The method acquires the DC current signal within the current detection time window of a DC power supply system; determines whether the power spectrum integral ratio of the DC current signal in each preset frequency domain interval meets the first preset condition based on the power spectrum integral ratio of the DC current signal in each preset frequency domain interval; if there is at least one abnormal preset frequency domain interval that does not meet the first preset condition, it is determined that an arc has occurred within the detection time window; based on the power spectrum integral ratio of the abnormal preset frequency domain intervals in multiple consecutive detection windows and the second preset condition, it is determined whether the arc is in a stable arcing stage. In this way, the difference between normal frequency domain characteristics and abnormal frequency domain characteristics can be distinguished at a finer granular level, thereby determining whether an arc has occurred in the energy storage battery system. Furthermore, it can first detect the occurrence of an arc at a higher detection frequency in a timely manner, and then verify whether it belongs to the stable arcing stage based on the power spectrum integral ratio over a longer time period. This allows for different strategies to be used in a timely manner when an arc is detected or when it is in a stable arcing stage, thus resolving the fault of the energy storage battery system more promptly and preventing a stable arc from causing more serious damage to the sealed energy storage battery system.

[0053] Please refer to Figure 1 , Figure 1 A flowchart illustrating the method for implementing the arc detection method described in this application is shown. Specifically, the method includes the following steps S101-S104:

[0054] S101. Obtain the DC current signal within the current detection time window of the DC power supply system;

[0055] S102. Based on the power spectrum integral ratio of the DC current signal in each preset frequency domain interval and the first preset condition, determine whether the power spectrum integral ratio of each preset frequency domain interval meets the first preset condition.

[0056] S103. If there is at least one abnormal preset frequency domain interval where the power spectrum integral ratio does not meet the first preset condition, then it is determined that an electric arc occurs within the detection time window.

[0057] S104. Based on the power spectrum integral ratio of abnormal preset frequency domain intervals within multiple consecutive detection windows and the second preset condition, determine whether the electric arc is in a stable arcing stage.

[0058] This application provides an arc detection method that distinguishes between normal and abnormal frequency domain characteristics at a finer granular level, thereby determining whether an arc has occurred in an energy storage battery system. It can first detect arcing at a higher detection frequency, and then verify whether it belongs to a stable arcing stage based on the power spectrum integral ratio over a longer time period. This allows for different strategies to be used to address the issue promptly when an arc is detected or when it is in a stable arcing stage, thus resolving energy storage battery system faults more quickly and preventing stable arcing from causing more serious damage to the sealed energy storage battery system.

[0059] In step S101, the DC current signal within the current detection time window of the DC power supply system is acquired.

[0060] Specifically, the DC current signal within the detection time window is acquired by a current acquisition device installed in the energy storage battery system. The DC current signal is the current output by the battery pack.

[0061] For example, the current acquisition device is a current sensor.

[0062] The energy storage battery system includes a battery pack and output devices electrically connected to the battery pack, including inverters, loads, etc.

[0063] Please refer to Figure 2 , Figure 2 A circuit diagram of the energy storage battery system described in an embodiment of this application is shown. Figure 2 As shown, the battery pack 201 can consist of more than one battery connected together in series or parallel. The inverter 202 converts the DC power from the battery pack 201 into standard AC mains power for connection to the user's low-voltage grid or sends it to the high-voltage grid via a step-up transformer. Figure 2 As can be seen, the battery pack 201, composed of batteries, contains numerous electrical connection structures. When an electric arc occurs between these electrical connection structures, it can cause the entire system to malfunction or catch fire. Within the battery pack 201, if there are loose connections or poor contact, an electric arc can occur inside the battery pack 201, potentially leading to system malfunction or igniting the batteries and causing a fire. Therefore, this application... Figure 2The current sensor is placed at position ① shown in the diagram to detect the current in the circuit, thereby detecting the electric arc inside the battery pack 201.

[0064] Figure 3 A schematic diagram of the circuit structure of another battery energy storage system is shown; for example... Figure 3 As shown, more than one battery is connected together in series or parallel to form a battery pack 301, which is directly connected to a DC load 302. Similarly, within the battery pack 301, electric arcs may be generated due to loose connections or poor contact points, which may cause the battery pack 301 to malfunction or cause a fire. In this application, the current sensor in Figure ① detects the electric arc.

[0065] In step S102, based on the power spectrum integral ratio of the DC current signal in each preset frequency range and the first preset condition, it is determined whether the power spectrum integral ratio of each preset frequency range meets the first preset condition.

[0066] Here, the power spectrum integral ratio is a DC current characteristic of the preset frequency domain range.

[0067] Since the characteristic frequency band changes when the battery pack is connected to the inverter and DC load, it is not convenient to detect arcs. Therefore, this application directly calculates the frequency domain current characteristics of each frequency domain interval in the entire frequency band to determine whether an arc occurs at a more granular level.

[0068] Specifically, the power spectrum integral ratio is determined by the following method:

[0069] Frequency domain analysis is performed on the DC current signal within the detection time window to determine the power spectrum integral of the DC current signal to be detected in each preset frequency domain interval;

[0070] Obtain the integral of the reference power spectrum for each preset frequency range in the absence of electric arc;

[0071] Based on the power spectrum integral of the target power spectrum and the reference power spectrum integral of each preset frequency domain interval, the power spectrum integral ratio of each preset frequency domain interval is calculated.

[0072] In other words, the frequency domain current characteristics of the preset frequency domain interval are characterized by the power spectrum integral ratio of the DC current signal within the detection time window and the DC current signal within each frequency domain interval under the condition of no electric arc.

[0073] The power spectrum integral of the DC current signal within the frequency domain can gather the values ​​of all frequency bands within the preset frequency domain of the current signal. In other words, it amplifies the characteristic that the DC current signal has a value greater than the normal threshold within the preset frequency domain, thus making a more accurate judgment on whether an electric arc has occurred.

[0074] In this embodiment of the application, the reference power spectrum integral for each preset frequency domain interval is determined by the following method:

[0075] In the absence of an electric arc in the DC power supply system, a reference DC current signal within the detection time window of the DC power supply system is acquired;

[0076] Frequency domain analysis is performed on the reference DC current signal to determine the reference power spectrum integral for each preset frequency domain interval.

[0077] Specifically, the frequency components of the current signal within the detection time window are extracted, and the entire frequency domain is divided into frequency intervals (f1, f2, f3...) with f (e.g., 1kHz) as the frequency band. The power spectrum integral of the current to be detected in each preset frequency interval is calculated and compared with the power spectrum integral of the corresponding sub-band of the normal arc-free current under the same working condition to obtain the frequency domain current characteristic: the power spectrum integral ratio.

[0078] In other words, the integral of the reference power spectrum for each frequency range under the condition of no electric arc is the integral of the reference power spectrum for each preset frequency range under the same operating condition of no electric arc.

[0079] In this embodiment of the application, determining whether the power spectrum integral ratio of the DC current signal in each preset frequency domain interval meets the first preset condition based on the first preset condition includes:

[0080] The power spectrum integral ratio of each preset frequency domain interval is compared with the first preset threshold of the preset frequency domain interval to determine whether the power spectrum integral ratio of the preset frequency domain interval exceeds the first preset threshold.

[0081] If it exceeds the limit, the preset frequency range is determined to be abnormal;

[0082] If it does not exceed the limit, then the preset frequency range is considered normal.

[0083] The first preset threshold of the preset frequency domain interval is determined based on historical experimental DC current data under the same operating conditions.

[0084] For example, in this embodiment of the application, the first preset threshold is determined by the following method:

[0085] Acquire the first historical experimental DC current data for each frequency domain interval under normal conditions without electric arc, and generate the second historical experimental DC current data under abnormal conditions with electric arc.

[0086] Based on the first historical DC current data and the second historical DC current data, a first preset threshold is determined for each frequency domain interval under the same operating conditions.

[0087] In other words, the frequency domain current characteristics of each preset frequency domain interval have two possibilities: normal or abnormal.

[0088] The first preset threshold is determined based on historical experimental DC current data of the preset frequency domain interval under normal operating conditions and without electric arc. Here, the operating conditions are determined based on the output devices connected to the energy storage battery system and the power of the output devices. Because an energy storage battery system may be connected to different output devices under different conditions, and the power of the output devices may also be different, the current of the energy storage battery system in its normal state will be different under different operating conditions. Thus, the first preset threshold corresponding to the preset frequency domain interval will also be different under different operating conditions.

[0089] Based on this, the candidate first preset threshold for each preset frequency range under different operating conditions can be determined in advance according to the historical experimental data of the energy storage battery system. For example, when the energy storage battery system is running for the first time under the target operating condition, its normal DC current signal is detected, and the change of DC current signal when an electric arc is generated is determined according to the historical experimental data, so as to determine the first preset threshold for each preset frequency range under the target operating condition.

[0090] In other words, based on historical data from experiments, tests, or usage, a threshold for the power spectrum integral ratio of each preset frequency range can be determined. If the power spectrum integral ratio of any preset frequency range exceeds this threshold, it can be determined that an electric arc has occurred.

[0091] In step S103, if there is at least one abnormal preset frequency domain interval where the power spectrum integral ratio does not meet the first preset condition, then it is determined that an electric arc occurred within the detection time window.

[0092] Specifically, it is necessary to determine whether an electric arc occurs within the detection time window based on whether the frequency domain current characteristics of each preset frequency domain interval are abnormal. The specific steps are as follows:

[0093] Determine whether there is a preset frequency domain interval with abnormal frequency domain current characteristics;

[0094] If present, determine whether an electric arc occurred within the detection time window.

[0095] In other words, if the power spectrum integral ratio of a preset frequency domain interval is abnormal, it indicates that an electric arc has occurred within the detection time window, thus enabling finer-grained detection of whether an electric arc has occurred.

[0096] Please refer to Figure 4 , Figure 4 This section compares the current during the stable arcing phase and the arc-free phase when the battery pack is connected to the inverter; please refer to [reference needed]. Figure 5 , Figure 5This section compares the frequency domain current during the stable arcing phase and the normal arc-free current when the battery pack is connected to the inverter. Please refer to... Figure 6 , Figure 6 This section compares the current during the stable arcing phase and the arc-free phase when the battery pack is connected to a DC load; please refer to [reference needed]. Figure 7 , Figure 7 The frequency domain comparison of the stable arcing current and the normal arc-free current when the battery pack is connected to a DC load is shown.

[0097] analyze Figure 4 , Figure 5 , Figure 6 and Figure 7 It is known that when an electric arc occurs inside the battery pack and is in a stable arcing stage, the current signal measured by the current sensor not only exhibits characteristics similar to the current without an arc in the time domain, but also shows little difference in the frequency domain. Furthermore, it was found that the characteristic frequency band changes when the battery pack is connected to an inverter and a DC load. Therefore, it is impossible to determine whether the arc is in a stable combustion stage based solely on the current values ​​in the time or frequency domains. However, after an arc is generated in an energy storage battery system, due to the relatively enclosed space, the arc tends to stabilize and cause more serious hazards. Therefore, it is necessary to determine whether the generated arc is in a stable combustion stage.

[0098] Based on this, in step S104, the power spectrum integral ratio of abnormal preset frequency domain intervals within multiple consecutive detection windows and the second preset condition are used to determine whether the electric arc is in a stable arcing stage.

[0099] For details, please refer to Figure 8 In this embodiment of the application, based on the power spectrum integral ratio of abnormal preset frequency domain intervals within multiple consecutive detection windows and a second preset condition, it is determined whether the electric arc is in a stable arcing stage, including the following steps S801-S803:

[0100] S801. Determine whether an abnormal preset frequency domain interval exists within multiple consecutive detection windows;

[0101] S802. If so, determine whether the frequency domain current characteristics of the abnormal preset frequency domain interval within each detection time window meet the second preset threshold range of the preset frequency domain interval.

[0102] S803. If all conditions are met, the detection result of the arc combustion stage is determined to be the stable arc combustion stage.

[0103] In other words, the detection results of the arc combustion stage can be either in a stable arc combustion stage or not in a stable arc combustion stage.

[0104] The second preset threshold range is the threshold range corresponding to stable arcing.

[0105] Since the abnormal frequency domain current characteristic of the frequency domain interval described in this application is the power spectrum integral ratio, the second preset threshold range is a second preset threshold range that matches the power spectrum integral ratio and corresponds to stable arcing.

[0106] For example, under normal circumstances, the power spectrum integral ratio of the preset frequency domain interval should be below 1, that is, the first preset threshold (or the first preset threshold) is 1. When the frequency domain current characteristic (i.e. the power spectrum integral ratio) of the current to be detected does not exceed 1, it is a normal arc-free current. If it exceeds 1, it is an arc current. Then, the second preset threshold is detected. If the power spectrum integral ratio does not exceed the second preset threshold, that is, it is within the range of the first and second preset thresholds (the second preset threshold range), it is a stable burning arc. If it exceeds the second preset threshold, the arc burning is unstable.

[0107] Based on this, it is determined whether the abnormal frequency domain current characteristics of the abnormal preset frequency domain interval meet the corresponding second preset threshold range. If they do, it indicates that the electric arc generated within the detection time window is in the stable arcing stage.

[0108] Similar to the first preset threshold, the range of the second preset threshold is determined based on historical experimental DC current data under the same operating conditions.

[0109] For example, in this embodiment of the application, the second preset threshold range is determined by the following method:

[0110] Acquire the first historical experimental DC current data for each frequency domain interval under normal conditions without electric arc, and the third historical experimental DC current data under abnormal conditions where an electric arc in a stable arcing stage is generated;

[0111] Based on the first historical DC current data and the third historical DC current data, a second preset threshold range is determined for each frequency domain interval under the same operating conditions.

[0112] As can be seen in this embodiment, the first preset threshold and the second preset threshold range are both threshold ranges corresponding to the power spectrum integral ratio. If the power spectrum integral ratio of a frequency domain interval is less than or equal to the first preset threshold, it indicates that the frequency domain interval is normal. If the power spectrum integral ratio of a frequency domain interval exceeds the first preset threshold, it indicates that the frequency domain interval is abnormal. If the power spectrum integral ratio of an abnormal frequency domain interval is within the second preset threshold range, it indicates that the arc within the detection window is in the stable arcing stage. The first preset threshold and the second preset threshold range are obtained based on historical experimental current data. Under normal circumstances, the lower limit of the second preset threshold range is higher than the first preset threshold. For example, if the first preset threshold is 1, the second preset threshold range is [1.5, 2].

[0113] Arc detection results can indicate whether an arc has occurred in the energy storage battery system. If so, it may be a fleeting arc or a stable arc. The presence of abnormal preset frequency ranges in multiple consecutive detection windows indicates that the energy storage battery system is in a stable arcing stage, rather than a fleeting arc.

[0114] The hazards and urgency of electric arcs vary depending on their stage. Different handling strategies can be adopted in some cases. For example, if an electric arc is detected but it is not in a stable burning stage, a warning sound is issued; if an electric arc is detected in a stable burning stage, the power is cut off and maintenance is carried out by personnel, etc.

[0115] Based on this, the arc detection method described in the embodiments of this application further includes:

[0116] Based on the judgment results of whether an electric arc has occurred and whether it is in a stable arcing stage, the target processing strategy is determined from a variety of pre-configured processing strategies.

[0117] At the same time, distinguishing between different situations allows for the collection of more experimental data, which facilitates future analysis of energy storage battery systems, helps identify problems, and ultimately improves the energy storage battery systems.

[0118] Based on the same inventive concept, this application also provides an arc detection device corresponding to the arc detection method. Since the principle of the device in this application is similar to that of the arc detection method described above, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0119] Please refer to Figure 9 , Figure 9 A schematic diagram of the arc detection device according to an embodiment of this application is shown. Specifically, the arc detection device includes:

[0120] The acquisition module 901 is used to acquire the DC current signal within the current detection time window of the DC power supply system;

[0121] The first judgment module 902 is used to determine whether the power spectrum integral ratio of the DC current signal in each preset frequency domain interval meets the first preset condition based on the power spectrum integral ratio of the DC current signal in each preset frequency domain interval and the first preset condition.

[0122] The first determining module 903 is used to determine that an electric arc occurs within the detection time window if there is at least one abnormal preset frequency domain interval that does not meet the first preset condition.

[0123] The second judgment module 904 is used to determine whether the electric arc is in a stable arcing stage based on the power spectrum integral ratio of abnormal preset frequency domain intervals within multiple consecutive detection windows and the second preset condition.

[0124] This application provides an arc detection device. The device acquires the DC current signal of a DC power supply system within a current detection time window. Based on the power spectrum integral ratio of the DC current signal in each preset frequency interval and a first preset condition, it determines whether the power spectrum integral ratio of each preset frequency interval meets the first preset condition. If there is at least one abnormal preset frequency interval that does not meet the first preset condition, it is determined that an arc has occurred within the detection time window. Based on the power spectrum integral ratio of abnormal preset frequency intervals within multiple consecutive detection windows and the second preset condition, it is determined whether the arc is in a stable arcing stage. In this way, the difference between normal frequency domain characteristics and abnormal frequency domain characteristics can be distinguished at a finer granular level, thereby determining whether an arc has occurred in the energy storage battery system. Furthermore, it can first detect the occurrence of an arc at a higher detection frequency, and then verify whether it belongs to a stable arcing stage based on the power spectrum integral ratio over a longer time period. This allows for different strategies to be used to handle the situation in a timely manner when an arc is detected or when it is in a stable arcing stage, thus resolving the fault of the energy storage battery system more promptly and preventing stable arcing from causing more serious damage to the sealed energy storage battery system.

[0125] In some embodiments, the arc detection device further includes:

[0126] The second determining module is used to determine the target processing strategy from a variety of pre-configured processing strategies based on the judgment results of whether an electric arc has occurred and whether it is in a stable arcing stage.

[0127] In some embodiments, the arc detection device further includes:

[0128] The third determining module is used to perform frequency domain analysis on the DC current signal within the detection time window and determine the power spectrum integral of the DC current signal to be detected within each preset frequency domain interval.

[0129] Obtain the integral of the reference power spectrum for each preset frequency range in the absence of electric arc;

[0130] Based on the power spectrum integral of the target power spectrum and the reference power spectrum integral of each preset frequency domain interval, the power spectrum integral ratio of each preset frequency domain interval is calculated.

[0131] In some embodiments, the arc detection device further includes:

[0132] The fourth determining module is used to acquire the reference DC current signal within the detection time window of the DC power supply system when there is no electric arc in the DC power supply system.

[0133] Frequency domain analysis is performed on the reference DC current signal to determine the reference power spectrum integral for each preset frequency domain interval.

[0134] In some embodiments, the first judgment module of the arc detection device, when used to determine whether the power spectrum integral ratio of the DC current signal in each preset frequency domain interval meets the first preset condition based on the power spectrum integral ratio of the DC current signal in each preset frequency domain interval and the first preset condition, is specifically used for:

[0135] The power spectrum integral ratio of each preset frequency domain interval is compared with the first preset threshold of the preset frequency domain interval to determine whether the power spectrum integral ratio of the preset frequency domain interval exceeds the first preset threshold.

[0136] If it exceeds the limit, the preset frequency range is determined to be abnormal;

[0137] If it does not exceed the limit, then the preset frequency range is considered normal.

[0138] In some embodiments, in the first judgment module of the arc detection device, the first preset threshold of the preset frequency domain interval is determined based on historical experimental DC current data under the same working conditions.

[0139] In some embodiments, the second judgment module in the arc detection device, when used to determine whether the arc is in a stable arcing stage based on the power spectrum integral ratio of abnormal preset frequency domain intervals within a series of detection windows and a second preset condition, is specifically used for:

[0140] Determine whether an abnormal preset frequency domain interval exists within multiple consecutive detection windows;

[0141] If so, determine whether the frequency domain current characteristics of the abnormal preset frequency domain interval within each detection time window meet the second preset threshold range of the preset frequency domain interval.

[0142] If all conditions are met, the detection result for the arc combustion stage is determined to be the stable arc combustion stage.

[0143] In some embodiments, the second judgment module in the arc detection device, the second preset threshold range, is determined based on historical experimental DC current data under the same working conditions.

[0144] Based on the same inventive concept, this application also provides an electronic device corresponding to the arc detection method. Since the principle of solving the problem by the electronic device in this application is similar to the arc detection method described above in this application, the implementation of the electronic device can refer to the implementation of the method, and the repeated parts will not be described again.

[0145] Please refer to Figure 10This application provides an electronic device 1000, which includes a processor 1002, a memory 1001, and a bus. The memory 1001 stores machine-readable instructions that can be executed by the processor 1002. When the electronic device 1000 is running, the processor 1002 communicates with the memory 1001 via the bus. When the machine-readable instructions are executed by the processor 1002, the steps of the arc detection method are performed.

[0146] Based on the same inventive concept, this application also provides a computer-readable storage medium corresponding to the arc detection method. Since the principle of the computer-readable storage medium in this application is similar to the arc detection method described above in this application, the implementation of the computer-readable storage medium can refer to the implementation of the method, and the repeated parts will not be described again.

[0147] A computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the described arc detection method.

[0148] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces; the indirect coupling or communication connection of devices or modules can be electrical, mechanical, or other forms.

[0149] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0150] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0151] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, a platform server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0152] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An arc detection method, characterized in that, The method includes: Acquire the DC current signal within the current detection time window of the DC power supply system; Based on the power spectrum integral ratio of the DC current signal in each preset frequency interval and the first preset condition, it is determined whether the power spectrum integral ratio of each preset frequency interval meets the first preset condition; the power spectrum integral ratio is determined by the following method: performing frequency domain analysis on the DC current signal within the detection time window to determine the power spectrum integral to be detected of the DC current signal in each preset frequency interval; obtaining the reference power spectrum integral corresponding to each preset frequency interval under the condition of no electric arc; and calculating the power spectrum integral ratio of each preset frequency interval based on the power spectrum integral to be detected and the reference power spectrum integral of each preset frequency interval. If there is at least one abnormal preset frequency domain interval where the power spectrum integral ratio does not meet the first preset condition, then it is determined that an electric arc occurred within the detection time window. Based on the power spectrum integral ratio of abnormal preset frequency domain intervals within multiple consecutive detection windows and the second preset condition, it is determined whether the electric arc is in a stable arcing stage.

2. The arc detection method according to claim 1, characterized in that, The method further includes: Based on the judgment results of whether an electric arc has occurred and whether it is in a stable arcing stage, the target processing strategy is determined from a variety of pre-configured processing strategies.

3. The arc detection method according to claim 1, characterized in that, The integral of the reference power spectrum for each preset frequency range is determined by the following method: In the absence of an electric arc in the DC power supply system, a reference DC current signal within the detection time window of the DC power supply system is acquired; Frequency domain analysis is performed on the reference DC current signal to determine the reference power spectrum integral for each preset frequency domain interval.

4. The arc detection method according to claim 1, characterized in that, Based on the power spectrum integral ratio of the DC current signal in each preset frequency range and a first preset condition, determine whether the power spectrum integral ratio in each preset frequency range meets the first preset condition, including: The power spectrum integral ratio of each preset frequency domain interval is compared with the first preset threshold of the preset frequency domain interval to determine whether the power spectrum integral ratio of the preset frequency domain interval exceeds the first preset threshold. If it exceeds the limit, the preset frequency range is determined to be abnormal; If it does not exceed the limit, then the preset frequency range is considered normal.

5. The arc detection method according to claim 4, characterized in that, The first preset threshold of the preset frequency domain interval is determined based on historical experimental DC current data under the same operating conditions.

6. The arc detection method according to claim 1, characterized in that, Based on the power spectrum integral ratio of abnormal preset frequency domain intervals within multiple consecutive detection windows and a second preset condition, it is determined whether the electric arc is in a stable arcing stage, including: Determine whether an abnormal preset frequency domain interval exists within multiple consecutive detection windows; If so, determine whether the frequency domain current characteristics of the abnormal preset frequency domain interval within each detection time window meet the second preset threshold range of the preset frequency domain interval. If all conditions are met, the detection result for the arc combustion stage is determined to be the stable arc combustion stage.

7. The arc detection method according to claim 6, characterized in that, The second preset threshold range is determined based on historical experimental DC current data under the same operating conditions.

8. An arc detection device, characterized in that, The arc detection device includes: The acquisition module is used to acquire the DC current signal within the current detection time window of the DC power supply system. The first judgment module is used to determine whether the power spectrum integral ratio of the DC current signal in each preset frequency domain interval meets the first preset condition based on the power spectrum integral ratio of the DC current signal in each preset frequency domain interval and the first preset condition. The power spectrum integral ratio is determined by the following method: performing frequency domain analysis on the DC current signal within the detection time window to determine the power spectrum integral to be detected of the DC current signal in each preset frequency domain interval; obtaining the reference power spectrum integral corresponding to each preset frequency domain interval under the condition of no electric arc; and calculating the power spectrum integral ratio of each preset frequency domain interval based on the power spectrum integral to be detected and the reference power spectrum integral. The first determining module is used to determine that an electric arc occurs within the detection time window if there is at least one abnormal preset frequency domain interval that does not meet the first preset condition. The second judgment module is used to determine whether the electric arc is in a stable arcing stage based on the power spectrum integral ratio of abnormal preset frequency domain intervals within multiple consecutive detection windows and the second preset condition.

9. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, they perform the steps of the arc detection method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the arc detection method as described in any one of claims 1 to 7.

Images