Energy storage battery valve opening diagnosis method and device, electronic equipment and storage medium

Abstract

The application relates to a kind of energy storage battery valve opening diagnostic method, device, electronic equipment and storage medium, comprising: according to the position of battery pack in battery cabin and the position of sound sensor arranged in battery pack, construct space coordinate system, space coordinate system includes battery pack area and sound sensor position;Obtain the sound acquisition sample of sound sensor;Using battery valve opening feature diagnostic algorithm, the feature analysis is carried out to sound acquisition sample, and the characteristic type of sound sensor is obtained, whether it is valve opening feature according to the characteristic type of sound sensor;When the characteristic type is valve opening feature, positioning is carried out using battery valve opening positioning algorithm, and the battery valve opening positioning result is obtained;According to battery valve opening positioning result, execute alarm and protection processing.The beneficial effects of the application are: improve the accuracy of battery valve opening feature diagnosis.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of energy storage batteries, and particularly relates to an energy storage battery valve opening diagnosis method and device, electronic equipment and a storage medium. BACKGROUND

[0002] With the increase of voltage level and energy density of the energy storage system, the problems caused by battery aging, such as the increase of internal resistance and gas production, are aggravated, which easily causes abnormal fluctuations of internal pressure. The heat and flammable gas (such as H2 and CO) accumulated in the battery may trigger a chain reaction, and finally induce thermal runaway. Such risks are exponentially amplified in a gigawatt energy storage power station. In the early stage of thermal runaway, a large amount of gas is generated by the chemical reaction in the battery, which causes the battery to open the valve. At present, the traditional diagnosis method mainly depends on the threshold alarm of external parameters such as voltage and temperature, and there is a reaction lag phenomenon.

[0003] There are many sound interference factors in the operation site of the energy storage power station, such as the sound of the cold machine and the sound of the PCS. Therefore, an audio diagnosis method for various sound sources needs to be developed to accurately identify the valve opening characteristics. SUMMARY

[0004] The main purpose of the embodiment of the application is to provide an energy storage battery valve opening diagnosis method, device, electronic equipment and storage medium, which improves the accuracy of battery valve opening characteristic diagnosis.

[0005] One aspect of the application provides an energy storage battery valve opening diagnosis method, comprising:

[0006] According to the positions of the battery packs in the battery cabin and the sound sensors arranged on the battery packs, a spatial coordinate system is constructed, which includes the positions of the sound sensors and the battery pack area;

[0007] Obtain sound collection samples of the sound sensors;

[0008] Perform feature analysis on the sound collection samples by using a battery valve opening characteristic diagnosis algorithm to obtain characteristic types of the sound sensors, and determine whether it is a valve opening characteristic according to the characteristic types of the sound sensors;

[0009] When the characteristic type is a valve opening characteristic, a battery valve opening positioning algorithm is used for positioning to obtain a battery valve opening positioning result;

[0010] According to the battery valve opening positioning result, perform alarm and protection processing.

[0011] According to the energy storage battery valve opening diagnosis method, wherein according to the positions of the battery packs in the battery cabin and the sound sensors arranged on the battery packs, a spatial coordinate system is constructed, which includes:

[0012] The plane where the sound sensor is located is the X-Y plane, the ground plane is the X-Z plane, the side of the battery cabin body is the Y-Z plane, the Z axis is perpendicular to the front cabin door direction, the X axis is positive to the right, and the Y axis is positive upward, to obtain a spatial coordinate system, wherein the coordinates of the sound sensor i are ;

[0013] The obtained battery pack position in the battery cabin is , The spatial region (x, y, z) of the battery pack i is represented as , , , , , , respectively represent the minimum value of the battery pack i in the X axis direction, the maximum value in the X axis direction, the minimum value in the Y axis direction, the maximum value in the Y axis direction, the minimum value in the Z direction, and S represents the total number of battery packs.

[0014] According to the energy storage battery valve opening diagnosis method, wherein the position of the sound sensor of the battery pack is set according to a predetermined rule, wherein the predetermined rule includes deploying the sound sensor at the position of the odd-numbered pack, and the sound sensor is in the same plane.

[0015] According to the energy storage battery valve opening diagnosis method, wherein the sound collection sample of the sound sensor is obtained, including:

[0016] The sound sensor of the battery cabin is time-synchronized, and the sound collection sample is obtained from the sound sensor according to the collection buffer window and the diagnosis period.

[0017] According to the energy storage battery valve opening diagnosis method, wherein a battery valve opening feature diagnosis algorithm is used to analyze the sound collection sample to obtain the feature type of the sound sensor, and according to the feature type of the sound sensor, it is determined whether it is an opening valve feature, including:

[0018] The frequency feature of the sound sensor is determined according to the sound collection sample is:

[0019]

[0020] Wherein, i is the serial number identifier of the sound sensor, N represents the total number of sensors, represents the frequency feature of the i-th sensor, and , represents the amplitude of the j-th feature frequency component of the i-th sound sensor;

[0021] The sound pressure feature p of the sound sensor is determined according to the sound collection sample

[0022]

[0023] wherein, represents the sound pressure feature of the i-th sensor, and the sound pressure feature is calculated by using the equivalent sound pressure superposition method:

[0024]

[0025] is the international reference sound pressure, and ;

[0026] The correlation between the frequency feature and the sound pressure feature is calculated to obtain a correlation matrix:

[0027]

[0028] wherein represents the correlation between the frequency feature of the i-th sound sensor and the j-th sound pressure feature;

[0029] According to the correlation matrix and the feature correlation of the feature sample set, the feature sample C with the largest correlation is determined as:

[0030]

[0031] wherein, represents the feature type with the largest correlation with the spectrum of the i-th sound sensor, and the argmax() function represents the index of the maximum value in the array;

[0032] According to the opening valve feature and the feature sample C with the largest correlation, the set of sound sensors with the opening valve feature is determined as :

[0033]

[0034] wherein, is the opening valve feature, is the i-th sound sensor, and N is the total number of sensors.

[0035] According to the energy storage battery opening valve diagnosis method, when the feature type is the opening valve feature, a battery opening valve positioning algorithm is used for positioning to obtain a battery opening valve positioning result, including:

[0036] The time T at which the sample in the buffer window of the sound sensor has the maximum amplitude is calculated as:

[0037]

[0038] The sound pressure features P are sorted according to the sound pressure level to obtain , and The traversal is performed, four non-collinear sound sensors are selected as reference sensors, and the reference sensor numbers are represented as ;

[0039] According to the positions of the reference sensors and the open-valve cell position, the propagation time delay of the open-valve sound transmitted between the sound sensor j and the sound sensor i is calculated as , , , wherein represents the time delay of the open-valve sound transmitted between the sound sensor j and the sound sensor i, represents the time delay of the open-valve sound transmitted between the sound sensor k and the sound sensor i, represents the time delay of the open-valve sound transmitted between the sound sensor m and the sound sensor i;

[0040] According to the propagation time delay, the open-valve cell position, and the positions of the reference sensors, the open-valve sound propagation distance difference is calculated, and the distance difference , , , wherein , , represents the distance of the open-valve sound transmitted to the reference sensor, represents the distance difference of the open-valve sound transmitted between the sound sensor i and the sound sensor j, represents the distance difference of the open-valve sound transmitted between the sound sensor i and the sound sensor k, represents the distance difference of the open-valve sound transmitted between the sound sensor i and the sound sensor m, and the positions of the reference sensors are , , , , and the open-valve cell position is (X, Y, Z);

[0041] According to the open-valve sound propagation distance difference, the position of the open-valve sound is determined, the battery open-valve positioning result is obtained, and the position of the battery pack is traversed according to the battery open-valve positioning result. The battery pack to which the open-valve position belongs is:

[0042] .

[0043] According to the energy storage battery open-valve diagnosis method, wherein the position of the open-valve sound is determined according to the open-valve sound propagation distance difference, comprising:

[0044] According to the open-valve sound propagation distance difference and the sound propagation speed, the equation set of the propagation distance difference is determined as:

[0045]

[0046] wherein V is the sound propagation speed, and ;

[0047] The position of the valve opening sound is calculated according to the equation group as

[0048]

[0049] Wherein:

[0050] Wherein Z<0, and Z is inside the battery cabin, wherein 、 、 、 、 and are intermediate calculation parameters.

[0051] Another aspect of the embodiment of the present application provides a valve opening diagnosis device for an energy storage battery, comprising:

[0052] A first module is configured to construct a spatial coordinate system according to the position of the battery pack in the battery cabin and the position of the sound sensor arranged on the battery pack, wherein the spatial coordinate system comprises a battery pack area and a sound sensor position;

[0053] A second module is configured to obtain a sound collection sample of the sound sensor;

[0054] A third module is configured to perform feature analysis on the sound collection sample by using a battery valve opening feature diagnosis algorithm, to obtain a feature type of the sound sensor, and determine whether it is a valve opening feature according to the feature type of the sound sensor;

[0055] A fourth module is configured to, when the feature type is a valve opening feature, perform positioning by using a battery valve opening positioning algorithm, to obtain a battery valve opening positioning result;

[0056] A fifth module is configured to execute alarm and protection processing according to the battery valve opening positioning result.

[0057] Another aspect of the embodiment of the present application provides an electronic device, comprising a processor and a memory;

[0058] The memory is configured to store a program;

[0059] The processor executes the program to realize the method as described above.

[0060] The embodiment of the present application further discloses a computer readable storage medium, wherein the storage medium stores a program, and the program is executed by a processor to realize the energy storage battery valve opening diagnosis method.

[0061] The beneficial effects of the present application are: the battery valve opening diagnosis method based on frequency domain correlation and sound pressure level, and by comparing the feature sample set, it is beneficial to improve the valve opening diagnosis accuracy, a multi-sensor valve opening positioning method is proposed based on sound pressure level priority, the battery valve opening cell positioning is realized, the battery valve opening feature diagnosis accuracy is improved, and the battery accident risk is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0062] The above and / or additional aspects and advantages of the present application will become apparent and be readily appreciated from the following description, taken in conjunction with the following drawings in which:

[0063] Figure 1 is a flow diagram of a battery valve opening diagnosis method according to an embodiment of the present application.

[0064] Figure 2 is another flow diagram of a battery valve opening diagnosis method according to an embodiment of the present application.

[0065] Figure 3 is a schematic diagram of a spatial coordinate system according to an embodiment of the present application.

[0066] Figure 4 is a flow diagram of a valve opening feature diagnosis according to an embodiment of the present application.

[0067] Figure 5 is a flow diagram of a battery valve opening positioning according to an embodiment of the present application.

[0068] Figure 6 is a schematic diagram of a battery valve opening diagnosis method device according to an embodiment of the present application. DETAILED DESCRIPTION

[0069] Embodiments of the present application are described in detail below with reference to the accompanying drawings. The same or similar components are denoted by the same or similar reference numerals throughout the drawings. In the following description, the suffixes "module", "part" or "unit" are used only in order to facilitate explanation of the present application, and have no particular meaning by themselves. Therefore, "module", "part" or "unit" can be mixedly used. "First", "second", and so on are used only to distinguish technical features, and cannot be understood as indicating or implying relative importance or implying indicating the number of technical features indicated or the order of technical features indicated. In the following description, the consecutive numbers of the method steps are for the convenience of review and understanding, and adjusting the implementation order between the steps does not affect the technical effects achieved by the technical solution of the present application, in combination with the overall technical solution of the present application and the logical relationship between the steps. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0070] ReferenceFigure 1 and Figure 2 wherein Figure 1 including but not limited to steps S100-S500:

[0071] S100, constructing a space coordinate system according to the positions of the battery packs in the battery cabin and the positions of the sound sensors arranged on the battery packs, the space coordinate system including the battery pack regions and the positions of the sound sensors.

[0072] In some embodiments, the sound sensor can also be an audio sensor.

[0073] Referring to Figure 3 the space coordinate system diagram shown, the plane where the sound sensor is located is the X-Y plane, the ground plane is the X-Z plane, the cabin side is the Y-Z plane, the Z axis is positive in the direction perpendicular to the front cabin door, the X axis is positive to the right, and the Y axis is positive upward, and the coordinates of sensor i are denoted as .

[0074] The battery pack region in step 2 is recorded as , denotes the space region of battery pack i, which is denoted as wherein , , , , , respectively, denote the minimum value of battery pack i in the X-axis direction, the maximum value in the X-axis direction, the minimum value in the Y-axis direction, the maximum value in the Y-axis direction, and the minimum value in the Z direction, and S denotes the total number of battery packs.

[0075] In some embodiments, Figure 3 the positions of the sound sensors of the battery packs are arranged according to predetermined rules, wherein the predetermined rules include deploying the sound sensors at the positions of odd-numbered packs, and the sound sensors are in the same plane.

[0076] S200, obtaining sound collection samples of the sound sensors.

[0077] In some embodiments, the sound sensors of the battery cabin are time-synchronized, and sound collection samples are obtained from the sound sensors according to a collection buffer window and a diagnosis period.

[0078] In some embodiments, the time length data of the collection buffer window is 2s, and the diagnosis period is set to 500ms for diagnosis once.

[0079] S300, performing feature analysis on the sound collection samples using a battery valve opening feature diagnosis algorithm to obtain the feature types of the sound sensors, and determining whether it is an opening valve feature according to the feature types of the sound sensors.

[0080] Referring toFigure 4 The open valve feature diagnosis workflow diagram shown, comprising:

[0081] Determine the frequency characteristics of the sound sensor according to the sound collection sample For:

[0082]

[0083] Wherein, i is the sound sensor serial number identification, N represents the total number of sensors, The frequency characteristics of the i-th sensor are represented by f i, and Wherein, The amplitude of the j-th characteristic frequency component of the i-th sound sensor is represented by a ij.

[0084] Determine the sound pressure characteristics p of the sound sensor according to the sound collection sample

[0085]

[0086] Wherein, The sound pressure characteristics of the i-th sensor are represented by p i, and the sound pressure characteristics are calculated using the equivalent sound pressure superposition method:

[0087]

[0088] The international reference sound pressure is represented by p ref, and ;

[0089] Calculate the correlation between the frequency characteristics and the sound pressure characteristics to obtain the correlation matrix:

[0090]

[0091] Wherein The correlation between the frequency characteristics of the i-th sound sensor and the j-th sound pressure characteristics is represented by r ij.

[0092] Determine the correlation of the largest characteristic sample C according to the correlation matrix and the characteristic correlation of the characteristic sample set:

[0093]

[0094] Wherein, The characteristic type with the largest correlation with the i-th sound sensor spectrum is represented by C i, and the argmax() function represents the index of the maximum value in the array.

[0095] In some embodiments, the feature sample set is configured according to the working environment of the battery cabin, such as cell valve opening sound, PCS noise, cold machine noise, cabin door opening sound, cabin door closing sound, knocking sound, electric drill sound, etc. The sample feature types are numbered in sequence as 1, 2, 3, 4, 5, 6, 7...M. The sequence is sequentially increased, and M represents the total number of feature sample types. wherein represents the frequency characteristics of the jth sample in the sample library.

[0096] According to the valve opening feature and the feature sample C with the maximum correlation, the set of sound sensors with the valve opening feature is determined is:

[0097]

[0098] wherein, is the valve opening feature.

[0099] In some embodiments, = 75db.

[0100] S400, when the feature type is the valve opening feature, the battery valve opening positioning algorithm is used for positioning to obtain the battery valve opening positioning result.

[0101] In some embodiments, referring to Figure 5 the battery valve opening positioning flowchart, the flow includes:

[0102] The time T of the sample in the buffer window of the sound sensor at the maximum amplitude is calculated as:

[0103]

[0104] The sound pressure feature P is sorted according to the sound pressure level to obtain , and is traversed in order, and four non-collinear sound sensors are selected as reference sensors, and the reference sensor number is represented as ;

[0105] According to the positions of the reference sensors and the valve opening cell, the propagation time delay of the valve opening sound transmitted between the sound sensor j and the sound sensor i is calculated as , , wherein represents the time delay of the valve opening sound transmitted between the sound sensor j and the sound sensor i, represents the time delay of the valve opening sound transmitted between the sound sensor k and the sound sensor i, represents the time delay of the valve opening sound transmitted between the sound sensor m and the sound sensor i.

[0106] According to the propagation time delay, the open valve cell position and the position of the reference sensor, the open valve sound propagation distance difference is calculated, and the distance difference 、 , , , , represents the distance of the open valve sound to the reference sensor, represents the distance difference of the open valve sound propagating between the sound sensor i and the sound sensor j, represents the distance difference of the open valve sound propagating between the sound sensor i and the sound sensor k, represents the distance difference of the open valve sound propagating between the sound sensor i and the sound sensor m, and the position of the reference sensor is 、 、 , , and the open valve cell position is (X, Y, Z);

[0107] According to the open valve sound propagation distance difference, the position of the open valve sound is determined, and the position of the battery pack is traversed according to the position of the open valve sound, so that the battery pack to which the open valve position belongs is obtained:

[0108] .

[0109] In some embodiments, according to the open valve sound propagation distance difference and the sound propagation speed, the equation set of the propagation distance difference is determined as:

[0110]

[0111] wherein V is the sound propagation speed, and ;

[0112] According to the equation set, the position of the open valve sound is calculated as

[0113]

[0114] wherein:

[0115] wherein Z < 0, and Z is inside the battery cabin, wherein 、 、 、 、 and are intermediate calculation parameters.

[0116] S500, according to the battery open valve positioning result, executing alarm and protection processing.

[0117] In some examples, as the battery valve opening positioning result is that the third battery pack in the first column is a valve opening fault sound, and the first battery sound positioning result in the second column is a hatch opening sound, the battery valve opening positioning result is displayed or alarmed through an interactive interface (such as the hatch side shown in the figure is the Y-Z plane). Figure 3

[0118] Figure 6 Figure 1 is a diagram of an energy storage battery valve opening diagnostic analysis device according to an embodiment of the present application. The device includes a first module 610, a second module 620, a third module 630, a fourth module 640, and a fifth module 650.

[0119] The first module is configured to construct a spatial coordinate system according to the positions of the battery packs in the battery compartment and the positions of the sound sensors arranged on the battery packs, and the spatial coordinate system includes the positions of the battery packs and the sound sensors.The second module is configured to obtain sound collection samples of the sound sensors. The third module is configured to perform feature analysis on the sound collection samples using a battery valve opening feature diagnostic algorithm to obtain feature categories of the sound sensors, and determine whether the feature categories are valve opening features. The fourth module is configured to perform positioning using a battery valve opening positioning algorithm when the feature categories are valve opening features to obtain battery valve opening positioning results. The fifth module is configured to perform alarm and protection processing according to the battery valve opening positioning results.

[0120] Exemplarily, under the cooperation of the first module to the sixth module in the device, the embodiment device can implement any one of the foregoing energy storage battery valve opening diagnostic methods, i.e., constructing a spatial coordinate system according to the positions of the battery packs in the battery compartment and the positions of the sound sensors arranged on the battery packs, and the spatial coordinate system includes the positions of the battery packs and the sound sensors; obtaining sound collection samples of the sound sensors; performing feature analysis on the sound collection samples using a battery valve opening feature diagnostic algorithm to obtain feature categories of the sound sensors, and determining whether the feature categories are valve opening features; when the feature categories are valve opening features, performing positioning using a battery valve opening positioning algorithm to obtain battery valve opening positioning results; and performing alarm and protection processing according to the battery valve opening positioning results. The present application has the beneficial effects that: a knowledge graph driven dynamic semantic mapping replaces an artificial rule base to realize intelligent association of contexts on a data chain; a structured analysis and a field adaptive word segmentation technology break through a bottleneck of adaptation of a natural language processing model to structured data; a fusion of a data chain syntax constraint and an attention mechanism deeply embeds a format rule into a model reasoning process to improve conversion efficiency and accuracy of the data chain.

[0121] An embodiment of the present application further provides an electronic device, which includes a processor and a memory.

[0122] The memory stores a program.

[0123] The processor executes the program to perform the foregoing energy storage battery valve opening diagnosis method; the electronic device has the function of carrying and running the software system of the energy storage battery valve opening diagnosis provided by the embodiment of the present application, for example, a personal computer, a mini computer, a mainframe, a workstation, a network or a distributed computing environment, a single or integrated computer platform, or communication with a charged particle tool or other imaging device, and the like.

[0124] The embodiment of the present application also provides a computer readable storage medium, the storage medium stores a program, and the program is executed by a processor to realize the energy storage battery valve opening diagnosis method as described above.

[0125] In some alternative embodiments, the functions / operations mentioned in the block diagram can not occur in the order mentioned in the operation diagram. For example, depending on the functions / operations involved, two blocks shown in succession can actually be executed substantially simultaneously with or sometimes in the reverse order. In addition, the embodiments presented and described in the flowcharts of the present application are provided by way of example, and the purpose is to provide a more comprehensive understanding of the technology. The disclosed method is not limited to the operations and logical flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are independently executed.

[0126] The embodiment of the present application also discloses a computer program product or a computer program, the computer program product or the computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device can read the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the computer device executes the foregoing energy storage battery valve opening diagnosis method.

[0127] In addition, although the present application is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the functions and / or features described can be integrated in a single physical device and / or software module, or one or more functions and / or features can be implemented in separate physical devices or software modules. It can also be understood that detailed discussion of the actual implementation of each module is unnecessary for understanding the present application. Rather, given the properties, functions and internal relationships of the various functional modules in the devices disclosed herein, the actual implementation of the module will be within the routine skill of an engineer, given the disclosure herein. Therefore, those skilled in the art can implement the present application as set forth in the claims using ordinary skill without undue experimentation. It can also be understood that the disclosed specific concepts are merely illustrative and are not intended to limit the scope of the present application, which is determined by the full scope of the appended claims and their equivalents.

[0128] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the technical solutions that essentially contribute to the prior art or the parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0129] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a list of executable instructions for implementing logic functions, which can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus or device, such as a computer-based system, a system including a processor or other system that can fetch the instructions from the instruction execution system, apparatus or device and execute the instructions, or in conjunction with these instructions execution systems, apparatus or devices. For the purpose of this specification, the "computer-readable medium" can be any device that can contain, store, communicate, propagate or transport programs for use by or in connection with an instruction execution system, apparatus or device, or in conjunction with these instruction execution systems, apparatus or devices.

[0130] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection having one or more wires (electrical devices), a portable computer diskette (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CD ROM). In addition, the computer readable medium can even be paper or other suitable medium on which the program can be printed, because the program can be obtained electronically, for example, by optical scanning of the paper or other medium, followed by editing, interpreting or otherwise processing, if necessary, in other suitable ways, to be electronically obtained and then stored in the computer memory.

[0131] It should be understood that aspects of the application can be implemented in hardware, software, firmware or a combination thereof. In the above embodiments, various steps or methods can be implemented in software or firmware which is stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, and in another embodiment, any of the following technologies, known in the art, can be used: a combination of discrete logic circuits having logic gates for implementing logic functions upon an application of data signals, application specific integrated circuits having logic gates, field programmable gate arrays (FPGA), or other components, in combination or by themselves, to implement the logical functions of the system.

[0132] In the description of the specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the application. In the specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0133] Although the embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions, and alterations can be made hereto without departing from the principles and spirit of the application, and the scope of the present application is defined by the claims and their equivalents.

[0134] The above is a specific description of the preferred embodiments of the present application, but the present application is not limited to the described embodiments, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present application, and these equivalent modifications or substitutions are included in the scope defined by the claims of the present application.

Claims

1. A method for diagnosing the valve opening of an energy storage battery, characterized in that, include: A spatial coordinate system is constructed based on the location of the battery pack inside the battery compartment and the location of the sound sensor installed on the battery pack. The spatial coordinate system includes the battery pack area and the location of the sound sensor. Acquire sound samples from the sound sensor; A battery valve opening feature diagnostic algorithm is used to perform feature analysis on the sound acquisition samples to obtain the feature types of the sound sensor. Based on the feature types of the sound sensor, it is determined whether it is a valve opening feature; including: Determine the frequency characteristics of the sound sensor based on the sound acquisition samples. for: in, This is the serial number identifier for the sound sensor, where N represents the total number of sound sensors. Indicates the first The frequency characteristics of each sound sensor, and ,in, Indicates the first The first sound sensor The amplitude of each characteristic frequency component; Determine the sound pressure characteristics of the sound sensor based on the sound acquisition samples. for: in, Indicates the first The sound pressure characteristics of each sound sensor are calculated using the equivalent sound pressure superposition method. As the international reference sound pressure level, and ; The correlation between the frequency characteristics of the sound sensor and the frequency characteristics of the samples in the feature sample set is calculated, resulting in the following correlation matrix: M represents the total number of feature sample types. The feature sample set is configured according to the working environment of the battery compartment. The feature sample types of cell valve opening sound, PCS noise, cold engine noise, hatch opening sound, hatch closing sound, knocking sound, and electric drill sound are numbered 1, 2, 3, 4, 5, 6, 7, respectively, increasing sequentially. ,in This represents the frequency characteristic of the j-th sample in the sample library; in This represents the correlation between the frequency characteristics of the i-th sound sensor and the frequency characteristics of the j-th sample; Based on the correlation matrix and the feature correlation of the feature sample set, the feature sample C with the highest correlation is determined as follows: in, The index represents the number of the feature sample type that is most correlated with the spectrum of the i-th sound sensor, and the argmax() function is used to find the index of the maximum value in the array. Based on sound pressure characteristics and the feature samples with the highest correlation Determine the set of sound sensors with valve-opening characteristics. for: in, For international reference sound pressure level, For the first There are 1 sound sensor, where N is the total number of sound sensors; When the feature type is valve opening feature, the battery valve opening positioning algorithm is used for positioning to obtain the battery valve opening positioning result. Based on the battery valve opening positioning result, alarm and protection actions are executed.

2. The energy storage battery valve opening diagnosis method according to claim 1, characterized in that, The step of constructing a spatial coordinate system based on the location of the battery pack within the battery compartment and the location of the sound sensor installed on the battery pack includes: Using the plane where the sound sensor is located as the XY plane, the ground plane as the XZ plane, and the side of the battery compartment as the YZ plane, with the Z-axis perpendicular to the front door as positive, the X-axis positive to the right, and the Y-axis positive upwards, we obtain a spatial coordinate system. The coordinates of sound sensor i are (X... i Y i ,0); The location of the battery pack inside the battery compartment was obtained as follows: , Represents the spatial region of battery pack i , represented as ,in, , , , , These represent battery packs. Minimum value in the X-axis direction, maximum value in the X-axis direction, minimum value in the Y-axis direction, maximum value in the Y-axis direction, minimum value in the Z-axis direction, and S represents the total number of battery packs.

3. The energy storage battery valve opening diagnosis method according to claim 2, characterized in that, The positions of the sound sensors in the battery pack are set according to predetermined rules, including deploying sound sensors at odd-numbered pack positions, with the sound sensors in the same plane.

4. The energy storage battery valve opening diagnosis method according to claim 1, characterized in that, The acquisition of sound samples from the sound sensor includes: The sound sensor in the battery compartment is synchronized, and sound samples are acquired from the sound sensor according to the acquisition buffer window and diagnostic cycle.

5. The energy storage battery valve opening diagnosis method according to claim 1, characterized in that, When the feature type is a valve opening feature, a battery valve opening positioning algorithm is used for positioning to obtain the battery valve opening positioning result, including: Calculate the moment when the sample in the buffer window of the sound sensor reaches its maximum amplitude. for: The sound pressure features P are sorted according to their sound pressure levels to obtain... In order The process involves iterating through the data and selecting four non-collinear sound sensors as reference sensors. The reference sensor numbers are denoted as follows: ; Based on the position of the reference sensor and the position of the valve opening cell, the transmission of the valve opening sound to the sound sensor j and the sound sensor is calculated. The propagation delay between them is , , ,in This indicates that the sound of the valve opening is transmitted to the sound sensor. and sound sensor The time delay between This represents the time delay between the valve opening sound and the sound sensor k and sound sensor i. This indicates that the sound of the valve opening is transmitted to the sound sensor m and the sound sensor. The time delay between; Based on the propagation delay, the position of the valve opening cell, and the position of the reference sensor, the propagation distance difference of the valve opening sound is calculated. , , ,in This indicates the distance from which the valve opening sound is transmitted to the reference sensor. This indicates that the sound of the valve opening is transmitted to the sound sensor. and sound sensor The distance difference between them This indicates that the sound of the valve opening is transmitted to the sound sensor. The distance difference between the sound sensor k and the sound sensor k This represents the distance difference between the sound of the valve opening propagating to sound sensor i and sound sensor m, and the position of the reference sensor is (X). i Y i ,0), (X j Y j ,0), (X k Y k ,0),(X m Y m ,0), the valve opening cell position is (X, Y, Z); The location of the valve opening sound is determined by the difference in the propagation distance of the valve opening sound, thus obtaining the battery valve opening location result. Based on the battery valve opening location result, the positions of the battery packs are traversed to obtain the battery pack to which the valve opening position belongs: 。 6. The energy storage battery valve opening diagnosis method according to claim 5, characterized in that, The step of determining the location of the valve opening sound based on the difference in the propagation distance of the valve opening sound includes: Based on the difference in sound propagation distance and the speed of sound propagation, the equations for determining the difference in propagation distance are as follows: in, For the speed of sound propagation, and ; Based on the equations, the location of the valve opening sound is calculated to be: in: in, ,and Located inside the battery compartment, , , , , and These are all intermediate calculation parameters.

7. A valve opening diagnostic device for an energy storage battery, characterized in that, include: The first module is used to construct a spatial coordinate system based on the location of the battery pack in the battery compartment and the location of the sound sensor set in the battery pack. The spatial coordinate system includes the battery pack area and the location of the sound sensor. The second module is used to acquire sound samples collected by the sound sensor; The third module is used to perform feature analysis on the sound acquisition samples using a battery valve opening feature diagnosis algorithm to obtain the feature types of the sound sensor, and determine whether it is a valve opening feature based on the feature types of the sound sensor; including: Determine the frequency characteristics of the sound sensor based on the sound acquisition samples. for: in, This is the serial number identifier for the sound sensor, where N represents the total number of sound sensors. Indicates the first The frequency characteristics of each sound sensor, and ,in, Indicates the first The first sound sensor The amplitude of each characteristic frequency component; Determine the sound pressure characteristics of the sound sensor based on the sound acquisition samples. for: in, Indicates the first The sound pressure characteristics of each sound sensor are calculated using the equivalent sound pressure superposition method. As the international reference sound pressure level, and ; The correlation between the frequency characteristics of the sound sensor and the frequency characteristics of the samples in the feature sample set is calculated, resulting in the following correlation matrix: M represents the total number of feature sample types. The feature sample set is configured according to the working environment of the battery compartment. The feature sample types of cell valve opening sound, PCS noise, cold engine noise, hatch opening sound, hatch closing sound, knocking sound, and electric drill sound are numbered 1, 2, 3, 4, 5, 6, 7, respectively, increasing sequentially. ,in This represents the frequency characteristic of the j-th sample in the sample library; in This represents the correlation between the frequency characteristics of the i-th sound sensor and the frequency characteristics of the j-th sample; Based on the correlation matrix and the feature correlation of the feature sample set, the feature sample C with the highest correlation is determined as follows: in, The index represents the number of the feature sample type that is most correlated with the spectrum of the i-th sound sensor, and the argmax() function is used to find the index of the maximum value in the array. Based on sound pressure characteristics and the feature samples with the highest correlation Determine the set of sound sensors with valve-opening characteristics. for: in, For international reference sound pressure level, For the first There are 1 sound sensor, where N is the total number of sound sensors; The fourth module is used to locate the battery valve opening feature using a battery valve opening positioning algorithm to obtain the battery valve opening positioning result. The fifth module is used to perform alarm and protection actions based on the battery valve opening positioning results.

8. An electronic device, characterized in that, Including the processor and memory; The memory is used to store programs; The processor executes the program to implement the energy storage battery valve opening diagnosis method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The storage medium stores a program, which is executed by a processor to implement the energy storage battery valve opening diagnosis method as described in any one of claims 1-6.

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