CN113447773A - Arc detection method and device and energy storage battery system - Google Patents
Arc detection method and device and energy storage battery system Download PDFInfo
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Abstract
The embodiment of the application relates to the technical field of battery fault detection, and discloses an arc detection method and device.
Description
Technical Field
The embodiment of the application relates to the technical field of battery fault detection, in particular to an arc detection method and device and an energy storage battery system.
Background
Energy storage battery systems are typically dc systems, where fault arcs can be classified as series fault arcs, parallel fault arcs, and ground fault arcs, depending on the cause of the fault. The series fault arc is generally generated under the conditions that a joint in a direct current line is loosened to cause a micro distance, fracture and overlap, poor contact of a plug and the like, and because a direct current system and a load are connected in series, the current of the series fault is limited by the load, and the generation of the arc cannot be detected by a traditional overcurrent protection device.
Disclosure of Invention
The inventors have found that at least the following problems exist in the above related art: at present, mainly detect through the tie point temperature in the market and discern, but this type of detection cost is on the high side and can not cover comprehensively, and does not consider utmost point ear welded part, and a 4 MWh's energy storage battery system contains thousands of tie points, and transportation vibration, production are not normal, field installation are all aroused contact failure easily such as not normal, are the main latent factor that arouses battery system conflagration.
In order to solve the above technical problem, embodiments of the present application provide an arc detection method and apparatus, and an energy storage battery system.
In a first aspect, an embodiment of the present application provides an arc detection method, including: and acquiring time domain characteristics and frequency domain characteristics in a system circuit, judging whether the time domain characteristics and the frequency domain characteristics are both abnormal in index, and further judging whether the temperature change in the system is abnormal under the condition that the time domain characteristics and the frequency domain characteristics are both abnormal in index, so as to determine whether the arc fault occurs.
The detection method can determine whether the arc fault occurs or not by combining the time domain characteristics, the frequency domain characteristics and the temperature change condition of the system circuit, and has higher accuracy and better safety of the detection result
In some embodiments, the determining whether the temperature change in the system is abnormal includes: acquiring temperature data of a connection point in a system within a preset time period according to a preset sampling frequency; calculating the temperature change rate of the connection point according to the preset time period and the temperature data; and judging whether the temperature change is abnormal or not according to the temperature change rate.
In some embodiments, the obtaining the time domain feature and the frequency domain feature in the system circuit includes: collecting a current signal in a system loop; and carrying out spectrum analysis on the current signal through wavelet transformation or fast Fourier analysis to obtain a frequency spectrum of a target frequency band.
In some embodiments, determining whether the index abnormality occurs in both the time domain feature and the frequency domain feature includes: and comparing and judging the frequency spectrum value of the target frequency band with a protection setting threshold value to judge whether the frequency domain characteristics have index abnormity.
In some embodiments, the obtaining the time domain feature and the frequency domain feature in the system circuit further includes: and determining the current mutation rate of the system according to the current signal.
In some embodiments, further comprising: and comparing the current break variable with a preset current scheduling change range to judge whether the time domain characteristics have index abnormality.
In some embodiments, the method further comprises: after the arc fault is determined to have occurred, the electrical connection of the system to the load is disconnected.
In order to solve the above technical problem, in a second aspect, an embodiment of the present application provides an arc detection apparatus, which includes a first determining module, a second determining module, and a fault determining module. The first judging module is used for acquiring time domain characteristics and frequency domain characteristics in a system circuit and judging whether index abnormality occurs in both the time domain characteristics and the frequency domain characteristics. The second judging module is used for judging whether the temperature change in the system is abnormal or not when the indexes of the time domain characteristic and the frequency domain characteristic are abnormal. The fault determining module is used for judging whether an arc fault occurs when the first judging module and the second judging module judge that the first judging module and the second judging module are abnormal.
In some embodiments, the apparatus further comprises: and the third judging module is used for judging whether the current mutation rate is abnormal when the time domain characteristic and the frequency domain characteristic are abnormal and the temperature change is abnormal, and the fault determining module is also used for determining that an arc fault occurs when the first judging module, the second judging module and the third judging module are abnormal.
In order to solve the above technical problem, in a third aspect, an embodiment of the present application provides an energy storage battery system, including: at least one processor; a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect as described above.
In some embodiments, the system further comprises: the current sensor is arranged in a main loop of the energy storage battery system and used for acquiring a current signal in the loop of the energy storage battery system; the frequency selection circuit is connected with the current sensor and is used for acquiring and amplifying a current signal of the energy storage battery system in a target frequency band; and the sampling circuit is respectively connected with the frequency selection circuit and the processor and is used for setting the sampling frequency of the current signal, converting the current signal into a digital signal and then sending the digital signal to the processor.
In some embodiments, the system further comprises: a contactor coupled to the processor and disposed at an output of the energy storage battery system for electrical connection to a load, and the processor is configured to disconnect the contactor to disconnect the energy storage battery system from the load upon detection of an arc fault.
Compared with the prior art, one or more embodiments in the application comprise the following beneficial effects: different from the situation of the prior art, the embodiment of the application provides an arc detection method and an arc detection device, the detection method needs to acquire time domain characteristics and frequency domain characteristics in a system circuit, then judges whether the time domain characteristics and the frequency domain characteristics are abnormal in indexes and whether temperature change in the system is abnormal, and if yes, determines that an arc fault occurs in the system.
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One or more embodiments are illustrated by the accompanying figures in the drawings that correspond thereto and are not to be construed as limiting the embodiments, wherein elements/modules and steps having the same reference numerals are represented by like elements/modules and steps, unless otherwise specified, and the drawings are not to scale.
FIG. 1 is a schematic diagram of an arc detection method provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating an arc detection method according to an embodiment of the present disclosure;
FIG. 3 is a schematic sub-flow chart of step 120 of the method of FIG. 2;
FIG. 4 is a schematic sub-flow chart of step 110 of the method of FIG. 2;
FIG. 5 is a graph of frequency domain features provided in accordance with an embodiment of the present invention;
FIG. 6 is a schematic illustration of another sub-flow chart of step 110 of the method of FIG. 2;
FIG. 7 is a time domain feature diagram according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an arc detection device according to a second embodiment of the present application;
fig. 9 is a schematic structural diagram of an energy storage battery system according to a third embodiment of the present application;
fig. 10 is a schematic structural diagram of another energy storage battery system provided in the third embodiment of the present application.
Detailed Description
The present application will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present application, but are not intended to limit the present application in any way. It should be noted that various changes and modifications can be made by one skilled in the art without departing from the spirit of the application. All falling within the scope of protection of the present application.
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It should be noted that, if not conflicted, the various features of the embodiments of the present application may be combined with each other within the scope of protection of the present application. Additionally, while functional block divisions are performed in apparatus schematics, with logical sequences shown in flowcharts, in some cases, steps shown or described may be performed in sequences other than block divisions in apparatus or flowcharts. Further, the terms "first," "second," "third," and the like, as used herein, do not limit the data and the execution order, but merely distinguish the same items or similar items having substantially the same functions and actions.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application.
In addition, the technical features mentioned in the embodiments of the present application described below may be combined with each other as long as they do not conflict with each other.
In order to solve the problems of low accuracy, poor safety and the like in the current arc fault detection, an embodiment of the present application provides an arc detection method that can be applied to a dc system such as an energy storage battery system, please refer to fig. 1, which is a schematic diagram of one of the arc detection methods provided by the embodiment of the present application, and includes: the energy storage battery system 10 is electrically connected with the load 20, and the energy storage battery system 10 can supply power to the load 20. Specifically, the energy storage battery system 10 further includes: processor 11, current sensor 13, frequency selection circuit 14, sampling circuit 15 and contactor 16.
The processor 11 is a computing device capable of executing the arc detection method provided by the embodiment of the present application, and a corresponding arc detection device is also disposed in the processor 11, where the processor 11 may be any operation control core capable of executing the arc detection method provided by the embodiment of the present application, and for example, the processor 11 may be a Microcontroller Unit (MCU).
The current sensor 13 is disposed in the main loop of the energy storage battery system 10, and is configured to collect a current signal in the loop of the energy storage battery system 10, obtain current information, and output the current signal. The current sensor 13 is also called a magnetic sensor, and may be one of current sensors such as a shunt, an electromagnetic current transformer, and an electronic current transformer, and specifically may be set according to actual needs.
The frequency selecting circuit 14 is connected to the current sensor 13 and configured to acquire and amplify a current signal of the energy storage battery system 10 in a target frequency band, and specifically, may be a CLC filter circuit, through which the current signal of the target frequency band is filtered and output.
The sampling circuit 15 is connected to the frequency selecting circuit 14 and the processor 11, and is configured to set a sampling frequency of the current signal, convert the current signal into a digital signal, and send the digital signal to the processor 11. The sampling frequency may be set to be greater than twice the frequency of the target frequency band, for example, the sampling frequency may be set to 500kHz to screen current signals having frequencies in the 250kHz frequency band.
The contactor 16 may be a switch, configured to control on/off of the external connection of the energy storage battery system 10, the contactor 16 is connected to the processor 11, and is disposed at an output end of the energy storage battery system 10, and configured to be electrically connected to a load 20, and the processor 11 is configured to cut off the contactor 16 when an arc fault is detected, so as to disconnect the connection between the energy storage battery system 10 and the load 20. Specifically, the contactor 16 includes: a main positive contact 16a and a main negative contact 16b, the main positive contact 16a for connecting with the positive pole of the load 20, and the main negative contact 16b for connecting with the negative pole of the load 20.
Specifically, the embodiments of the present application will be further explained below with reference to the drawings.
Example one
Referring to fig. 2, it shows a flow of an arc detection method provided in an embodiment of the present application, where the arc detection method may be applied to the energy storage battery system 10, and the embodiment of the present application is exemplified by the energy storage battery system 10, but the application of the arc detection method provided in the embodiment of the present application is not limited to the energy storage battery system 10, and the method includes, but is not limited to, the following steps:
step 110: acquiring time domain characteristics and frequency domain characteristics in a system circuit, and judging whether the time domain characteristics and the frequency domain characteristics are both abnormal in index;
in the embodiment of the application, firstly, the time domain characteristics and the frequency domain characteristics of the energy storage battery system need to be detected, and whether the time domain characteristics and the frequency domain characteristics have abnormal indexes respectively is judged; if yes, jumping to step 120; if not, the energy storage battery system works normally, and no electric arc occurs in a loop of the energy storage battery system, the time-frequency domain characteristics of the energy storage battery system are obtained again after a period of time, and whether the index abnormality occurs or not is detected and judged.
It should be noted that, because the arc signal is similar to the noise signal, and when arcs occur at different positions of the circuit, the calculated frequency spectrum difference is large, so that erroneous judgment is easy to occur, and the frequency domain detection method alone is not reliable. Therefore, the arc detection method provided by the embodiment of the application further analyzes and judges whether the time domain characteristics and the temperature change of the energy storage battery system are abnormal or not. On the basis of original abnormal detection through frequency domain characteristics, the method assists in detecting the physical quantity of temperature change and the time domain quantity, and therefore accuracy of arc detection is improved.
Step 120: it is determined whether a temperature change in the system is abnormal to determine whether an arc fault has occurred.
In the embodiment of the application, if it is determined that the time domain and the frequency domain of the energy storage battery system have the index abnormality, it is further determined whether the temperature change of the energy storage battery system is abnormal.
If not, the energy storage battery system still works normally, and the time-frequency domain characteristics of the energy storage battery system are detected again to determine whether the abnormal index detected in the step 110 is caused by a detection error or an error or is a sudden change phenomenon of current and voltage in a circuit.
If the time domain characteristics, the frequency domain characteristics and the temperature changes of the energy storage battery system are determined to be abnormal, the arc faults in the energy storage battery system can be determined, the results of the arc faults are output, and an upper computer or a user is informed.
Further, since the energy storage battery system is used for supplying power to a load, in order to avoid the load, an energy storage battery in the energy storage battery system, and electronic components in a circuit from being burned out due to excessive current, after it is determined that an arc fault occurs in the energy storage battery system, the method further includes: and disconnecting the electrical connection between the energy storage battery system and the load.
Further, in some embodiments, please refer to fig. 3, which is a sub-flowchart of step 120 of the method shown in fig. 2, wherein the determining whether the temperature change in the system is abnormal includes:
step 121: acquiring temperature data of a connection point in a system within a preset time period according to a preset sampling frequency;
step 122: calculating the temperature change rate of the connection point according to the preset time period and the temperature data;
step 123: and judging whether the temperature change is abnormal or not according to the temperature change rate.
In this application embodiment, the tie point of energy storage battery system refers to the tie point of pencil or copper bar and terminal in the energy storage battery system, and it is great here to have the probability of connecting to become flexible, produces electric clearance easily and then leads to the electric arc to take place, the concrete position of the tie point of energy storage battery system includes: the copper bar is connected inside the module, the connecting terminals between the modules, the connecting terminals between the module and the high-voltage box, the internal connection of the high-voltage box, the external terminal connection of the high-voltage box, and the like. Specifically, whether temperature abnormality occurs is mainly determined by the temperature change rate, for example, the temperature change rate is smaller than a preset minimum threshold value when the temperature abnormality occurs for more than a preset number of continuous detections, or the change rate difference of each detection is too large in the preset number of continuous detections. For example, when the temperature change rate is calculated to be greater than 1 ℃/0.1S, or 5 ℃/0.5S, or 10 ℃/1S, determining that the temperature change is abnormal; or when the temperature change rate is detected to be greater than 1 ℃/0.1S for 5 times continuously, determining that the temperature change is abnormal; or continuously detecting the temperature change rate for 3 times or more with constant difference, and determining that the temperature change is abnormal if continuously and respectively detecting 1 ℃/0.1S, 10 ℃/1S and 20 ℃/1S.
Further, in some embodiments, please refer to fig. 4, which is a sub-flowchart of step 110 of the method shown in fig. 2, where the acquiring of the time domain feature and the frequency domain feature in the system circuit includes:
step 111: collecting a current signal in a system loop;
step 112: and carrying out spectrum analysis on the current signal through wavelet transformation or fast Fourier analysis to obtain a frequency spectrum of a target frequency band.
In the embodiment of the present application, please refer to fig. 5 together, which shows a frequency domain characteristic diagram provided by the present application, and the embodiment of the present application analyzes a time domain voltage waveform or a current waveform of the energy storage battery system through Wavelet Transform (WT) or Fast Fourier Transform (FFT) to calculate a spectral value of the time domain waveform corresponding to the frequency domain waveform, so as to output the frequency domain characteristic diagram shown in fig. 5. Further, the frequency spectrum of the target frequency band is screened out, for example, the frequency spectrum in the frequency band range of 100kHz-300kHz is screened out as the frequency spectrum of the target frequency band.
After the current signal in the loop of the energy storage battery system is collected, the current signal of the energy storage battery system can be obtained, clutter of a non-target frequency band is filtered through software or hardware filtering, a frequency spectrum without too many non-target frequency bands is obtained, and the frequency after filtering is easier to analyze through the step 112 to obtain the frequency spectrum of the target frequency band; alternatively, the frequency spectrum of the target frequency band may be directly obtained by filtering, and the step 112 may not be required.
Further, please continue to refer to fig. 4, where the determining whether the index abnormality occurs in both the time domain feature and the frequency domain feature includes:
step 113: and comparing the frequency spectrum value of the target frequency band with a protection setting threshold value to judge whether the frequency domain characteristics have index abnormity.
In this embodiment, please continue to refer to fig. 5, in which after the frequency domain feature of the target frequency band is obtained, the frequency spectrum value of the target frequency band is compared with a protection setting threshold value to determine whether the frequency domain feature has an index abnormality. The method may include determining whether a frequency spectrum value of the target frequency band exceeds a protection set threshold, determining that an arc fault may occur when the frequency spectrum value exceeds a preset protection set threshold, and determining that an index is abnormal. For example, at a frequency of 100kHz, decibels are greater than or equal to 5 dB; or, at the frequency value of 200kHz, the decibel is more than or equal to 5 dB; or when the decibel of the frequency domain characteristic is more than or equal to 5dB at the frequency value of 300kHz, determining that the index of the frequency domain characteristic is abnormal.
Further, in some embodiments, please refer to fig. 6, which is a sub-flowchart of step 110 in the method shown in fig. 2, where the acquiring the time domain feature and the frequency domain feature in the system circuit includes:
step 114: and determining the current mutation rate of the system according to the current signal.
The judging whether the index abnormality occurs to the time-frequency domain features includes:
step 115: and comparing the current break variable with a preset current scheduling change range to judge whether the time domain characteristics have index abnormality.
In the embodiment of the present application, please refer to fig. 7 together, which shows that the embodiment of the present application provides a time domain characteristic diagram, and the embodiment of the present application mainly determines whether the index abnormality occurs in the time domain characteristic of the current signal in the energy storage battery system according to the current mutation rate di/dt, for example, the sampling time interval may be set to 100ms or other time intervals, that is, dt is 100ms, at the time T0 i 10A, and at the time T100 ms i 20A, di/dt is 100A/S.
When detecting the current mutation rate, it is necessary to exclude the current mutation caused by the adjustment control of the system itself. For example, as shown in fig. 7, when the control system does not request a current change of the energy storage battery system, but suddenly detects that the current is reduced from 100A to 20A, the arc fault is considered to occur; when the control system controls the energy storage battery system to jump from 100A to 200A within 1S, namely, the actual current mutation amount is 100A/S, the arc-caused mutation is not considered.
Example two
An embodiment of the present application provides an arc detection apparatus, which may be disposed in an energy storage battery system, please refer to fig. 8, which shows a structure of a circuit detection apparatus provided in an embodiment of the present application, where the arc detection apparatus 200 includes: a first determination module 210, a second determination module 220, a third determination module 230, and a fault determination module 240.
The first determining module 210 is configured to obtain a time domain feature and a frequency domain feature in a system circuit, and determine whether index abnormality occurs in both the time domain feature and the frequency domain feature;
the second determining module 220 is configured to determine whether a temperature change in the system is abnormal when the time domain characteristic and the frequency domain characteristic are abnormal;
the fault determining module 240 is configured to determine whether an arc fault occurs in the battery system when both the first determining module and the second determining module determine that the first determining module and the second determining module are abnormal.
In some embodiments, the third determining module 230 is configured to determine whether the current mutation rate is abnormal when the time domain characteristic and the frequency domain characteristic are abnormal and the temperature change is abnormal, and the fault determining module 240 is further configured to determine that an arc fault occurs when the first determining module, the second determining module, and the third determining module all determine that the abnormality occurs.
In some embodiments, the second determining module 220 is further configured to collect temperature data of a connection point in the system in a preset time period according to a preset sampling frequency; calculating the temperature change rate of the connection point according to the preset time period and the temperature data; and judging whether the temperature change is abnormal or not according to the temperature change rate.
In some embodiments, the first determining module 210 is further configured to acquire a current signal in the system loop; and carrying out spectrum analysis on the current signal through wavelet transformation or fast Fourier analysis to obtain a frequency spectrum of a target frequency band.
In some embodiments, the first determining module 210 is further configured to compare the spectrum value of the target frequency band with a protection setting threshold to determine whether the frequency domain feature is abnormal.
In some embodiments, the first determining module 210 is further configured to determine a current mutation rate of the system according to the current signal.
In some embodiments, the first determining module 210 is further configured to compare the current break amount with a preset current scheduling variation range to determine whether the time domain feature has an index abnormality.
In some embodiments, the fault determination module 240 is also used to disconnect the electrical connection of the system to the load.
EXAMPLE III
Fig. 9 shows a hardware structure of an energy storage battery system capable of performing the arc detection method shown in fig. 2 to 4 and 6. The energy storage battery system 10 may be the energy storage battery system 10 shown in fig. 1.
The energy storage battery system 10 includes: at least one processor 11; and a memory 12 communicatively coupled to the at least one processor 11, with one processor 11 being illustrated in fig. 9 as an example. The memory 12 stores instructions executable by the at least one processor 11, the instructions being executable by the at least one processor 11 to enable the at least one processor 11 to perform the arc detection methods described above with reference to fig. 2-4 and 6. The processor 11 and the memory 12 may be connected by a bus or other means, and fig. 9 illustrates the connection by a bus as an example.
In some embodiments, referring to fig. 10, the energy storage battery system 10 further includes: current sensor 13, frequency selection circuit 14, sampling circuit 15 and contactor 16.
The current sensor 13 is arranged in a main loop of the energy storage battery system and is used for acquiring a current signal in a loop of the energy storage battery system 10;
the frequency selection circuit 14 is connected with the current sensor 13 and is used for acquiring and amplifying a current signal of the energy storage battery system 10 in a target frequency band;
the sampling circuit 15 is connected to the frequency selecting circuit 14 and the processor 11, and configured to set a sampling frequency of the current signal, convert the current signal into a digital signal, and send the digital signal to the processor 11.
The contactor 16 is connected to the processor 11, and disposed at an output end of the energy storage battery system 10, and is configured to be electrically connected to a load, and the processor 11 is configured to disconnect the contactor 16 to disconnect the energy storage battery system 10 from the load when an arc fault is detected.
The memory 12, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the arc detection method in the embodiments of the present application, for example, the respective modules shown in fig. 8. The processor 11 executes various functional applications and data processing of the server by executing nonvolatile software programs, instructions and modules stored in the memory 12, so as to implement the arc detection method of the above method embodiment.
The memory 12 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the arc detection device, and the like. Further, the memory 12 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 12 optionally includes a memory remotely located from the processor 11, and these remote memories may be connected to the arc detection device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 12 and, when executed by the one or more processors 11, perform the arc detection method in any of the method embodiments described above, e.g., the method steps of fig. 2-4 and 6 described above, implementing the functions of the modules and units in fig. 8.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in the embodiments of the present application.
Embodiments of the present application also provide a non-transitory computer-readable storage medium storing computer-executable instructions for execution by one or more processors, for example, to perform the method steps of fig. 2-4 and 6 described above to implement the functions of the modules in fig. 8.
Embodiments of the present application further provide a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the arc detection method in any of the above-described method embodiments, e.g., to perform the method steps of fig. 2-4 and 6 described above, to implement the functions of the modules in fig. 8.
The embodiment of the application provides an arc detection method and device, the method needs to acquire time domain characteristics and frequency domain characteristics of a system, then judges whether the time domain characteristics and the frequency domain characteristics are abnormal in indexes and whether the temperature change of the system is abnormal, and if yes, determines that an arc fault occurs in the system.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; within the context of the present application, where technical features in the above embodiments or in different embodiments can also be combined, the steps can be implemented in any order and there are many other variations of the different aspects of the present application as described above, which are not provided in detail for the sake of brevity; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (12)
1. A method of arc detection, the method comprising:
acquiring time domain characteristics and frequency domain characteristics in a system circuit, and judging whether the time domain characteristics and the frequency domain characteristics are both abnormal in index;
if yes, judging whether the temperature change in the system is abnormal or not so as to determine whether the arc fault occurs or not.
2. The arc detection method according to claim 1,
the judging whether the temperature change in the system is abnormal includes:
acquiring temperature data of a connection point in a system within a preset time period according to a preset sampling frequency;
calculating the temperature change rate of the connection point according to the preset time period and the temperature data;
and judging whether the temperature change is abnormal or not according to the temperature change rate.
3. The arc detection method according to claim 1,
the acquiring of the time domain feature and the frequency domain feature in the system circuit includes:
collecting a current signal in a system loop;
and carrying out spectrum analysis on the current signal through wavelet transformation or fast Fourier analysis to obtain a frequency spectrum of a target frequency band.
4. The arc detection method according to claim 3,
the judging whether the index abnormality occurs to both the time domain feature and the frequency domain feature comprises:
and comparing the frequency spectrum value of the target frequency band with a protection setting threshold value to judge whether the frequency domain characteristics have index abnormity.
5. The arc detection method according to claim 3,
the acquiring time domain characteristics and frequency domain characteristics in the system circuit further includes:
and determining the current mutation rate of the system according to the current signal.
6. The arc detection method according to claim 5,
judging whether the time domain feature and the frequency domain feature are both abnormal in index or not, comprising the following steps:
and comparing the current break variable with a preset current scheduling change range to judge whether the time domain characteristics have index abnormality.
7. The arc detection method of claim 1, further comprising:
after the arc fault is determined to have occurred,
the electrical connection of the system to the load is broken.
8. An arc detection device, characterized in that the device comprises:
the first judging module is used for acquiring time domain characteristics and frequency domain characteristics in a system circuit and judging whether the time domain characteristics and the frequency domain characteristics are both abnormal in index;
the second judging module is used for judging whether the temperature change in the system is abnormal or not when the indexes of the time domain characteristic and the frequency domain characteristic are abnormal;
and the fault determining module is used for judging whether an arc fault occurs in the battery system when the first judging module and the second judging module both judge the abnormity.
9. The arc detection device of claim 8, further comprising:
a third judging module, configured to judge whether the current mutation rate is abnormal or not when the time domain characteristic and the frequency domain characteristic are abnormal in index and the temperature change is abnormal,
the fault determination module is further configured to determine whether an arc fault occurs in the battery system when the first determination module, the second determination module, and the third determination module all determine an abnormality.
10. An energy storage battery system, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
11. The energy storage battery system of claim 10, wherein the system further comprises:
the current sensor is arranged in a main loop of the energy storage battery system and used for acquiring a current signal in the loop of the energy storage battery system;
the frequency selection circuit is connected with the current sensor and is used for acquiring and amplifying a current signal of the energy storage battery system in a target frequency band;
and the sampling circuit is respectively connected with the frequency selection circuit and the processor and is used for setting the sampling frequency of the current signal, converting the current signal into a digital signal and then sending the digital signal to the processor.
12. The energy storage battery system of claim 10 or 11, wherein the system further comprises:
a contactor connected with the processor and arranged at the output end of the energy storage battery system and used for being electrically connected with a load,
and the processor is configured to disconnect the contactor to disconnect the energy storage battery system from the load upon detection of an arc fault.
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