Safety assessment method and device of energy storage battery, electronic equipment and storage medium

Abstract

The invention discloses a safety assessment method and device of an energy storage battery, electronic equipment and a storage medium. The method comprises the steps of constructing a judgment matrix corresponding to each primary index for a to-be-evaluated energy storage battery based on a pre-constructed energy storage battery safety evaluation system; wherein the energy storage battery safety evaluation system comprises at least one first-level index and at least one second-level index corresponding to each first-level index; calculating a membership degree vector of the to-be-evaluated energy storage battery according to the judgment matrix corresponding to each first-level index, a predetermined reference evaluation vector corresponding to one or more first-level indexes and a predetermined reference evaluation vector corresponding to one or more second-level indexes; and determining the safety level of the energy storage battery to be evaluated according to the membership degree vector. According to the embodiment of the invention, the safety of the energy storage battery can be accurately and timely evaluated, so that a guarantee can be provided for safe and stable operation of a power grid system.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of smart grid technology, and in particular to a safety assessment method, device, electronic device, and storage medium for an energy storage battery. Background Art

[0002] With the development of new energy, the safety of energy storage batteries is a vital part of the safe operation of the power grid. Energy storage batteries, especially lithium batteries, are often used in large-scale energy storage systems. However, as time goes by, the aging and performance degradation of lithium batteries will cause significant safety hazards. Accurately assessing the operating status of energy storage batteries and ensuring their safe operation is an important prerequisite for ensuring system stability. Some existing safety assessment methods are usually based on a single data source, while the operating environment of energy storage battery systems is complex and changeable, and a single indicator is difficult to fully reflect its safety status.

[0003] In the long-term operation, the safety of energy storage batteries faces severe challenges as they age and cycle too many times. There are many factors that affect the safe operation of energy storage batteries, including charge and discharge status, grid-connected structure, aging inconsistency, etc. Therefore, how to accurately and timely evaluate the safety of energy storage batteries, especially in some complex working environments, is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The present application provides a safety assessment method, device, electronic device and storage medium for an energy storage battery, which can accurately and timely assess the safety of the energy storage battery, thereby providing a guarantee for the safe and stable operation of the power grid system.

[0005] In a first aspect, an embodiment of the present application provides a safety assessment method for an energy storage battery, the method comprising:

[0006] Based on a pre-constructed energy storage battery safety assessment system, a judgment matrix corresponding to each primary indicator is constructed for the energy storage battery to be evaluated; wherein the energy storage battery safety assessment system includes at least one primary indicator and at least one secondary indicator corresponding to each primary indicator;

[0007] Calculate the membership vector of the energy storage battery to be evaluated according to the judgment matrix corresponding to each primary indicator and the predetermined reference evaluation vector corresponding to one or more primary indicators and the reference evaluation vector corresponding to one or more secondary indicators;

[0008] The safety level of the energy storage battery to be evaluated is determined according to the membership vector; wherein the safety level includes: normal level, slight level, general level or severe level.

[0009] In a second aspect, an embodiment of the present application further provides a safety assessment device for an energy storage battery, the device comprising: a construction module, a calculation module and a determination module; wherein:

[0010] The construction module is used to construct a judgment matrix corresponding to each primary indicator for the energy storage battery to be evaluated based on a pre-constructed energy storage battery safety assessment system; wherein the energy storage battery safety assessment system includes at least one primary indicator and at least one secondary indicator corresponding to each primary indicator;

[0011] The calculation module is used to calculate the membership vector of the energy storage battery to be evaluated according to the judgment matrix corresponding to each primary indicator and the predetermined reference evaluation vector corresponding to one or more primary indicators and the reference evaluation vector corresponding to one or more secondary indicators;

[0012] The determination module is used to determine the safety level of the energy storage battery to be evaluated according to the membership vector; wherein the safety level includes: normal level, slight level, general level or severe level.

[0013] In a third aspect, an embodiment of the present application provides an electronic device, including:

[0014] one or more processors;

[0015] a memory for storing one or more programs,

[0016] When the one or more programs are executed by the one or more processors, the one or more processors implement the safety assessment method for the energy storage battery described in any embodiment of the present application.

[0017] In a fourth aspect, an embodiment of the present application provides a storage medium on which a computer program is stored, and when the program is executed by a processor, the safety assessment method for the energy storage battery described in any embodiment of the present application is implemented.

[0018] The embodiment of the present application proposes a safety assessment method, device, electronic device and storage medium for energy storage batteries. First, based on a pre-constructed energy storage battery safety assessment system, a judgment matrix corresponding to each first-level indicator is constructed for the energy storage battery to be evaluated; then, according to the judgment matrix corresponding to each first-level indicator and the reference evaluation vector corresponding to one or more first-level indicators and one or more second-level indicators, the membership vector of the energy storage battery to be evaluated is calculated; and then the safety level of the energy storage battery to be evaluated is determined according to the membership vector. That is to say, in the technical solution of the present application, the safety level of the energy storage battery to be evaluated can be determined based on the pre-constructed energy storage battery safety assessment system. In the prior art, the traditional assessment method uses a simple single model to evaluate the operating status of the battery, and does not utilize the mutual relationship between the various parameters of the battery. Therefore, compared with the prior art, the safety assessment method, device, electronic device and storage medium of the energy storage battery proposed in the embodiment of the present application can accurately and timely evaluate the safety of the energy storage battery, thereby providing a guarantee for the safe and stable operation of the power grid system; and the technical solution of the embodiment of the present application is simple and convenient to implement, easy to popularize, and has a wider range of application. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A schematic diagram of a process flow of a safety assessment method for an energy storage battery provided in one embodiment of the present application;

[0020] Figure 2 A schematic diagram of the structure of an energy storage battery safety assessment system provided in one embodiment of the present application;

[0021] Figure 3 A schematic diagram of a flow chart of a safety assessment method for an energy storage battery provided in another embodiment of the present application;

[0022] Figure 4 A schematic flow chart of a safety assessment method for an energy storage battery provided in yet another embodiment of the present application;

[0023] Figure 5 A schematic diagram of the structure of a safety assessment device for an energy storage battery provided in one embodiment of the present application;

[0024] Figure 6 A schematic diagram of the structure of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0025] The present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only the parts related to the present application, rather than all structures, are shown in the accompanying drawings.

[0026] Figure 1 This is a flow chart of a method for safety assessment of an energy storage battery provided in one embodiment of the present application. The method can be performed by a safety assessment device or electronic device for an energy storage battery. The device or electronic device can be implemented by software and / or hardware. The device or electronic device can be integrated into any smart device with network communication function. Figure 1 As shown, the safety assessment method of the energy storage battery may include the following steps:

[0027] S101. Based on a pre-constructed energy storage battery safety assessment system, a judgment matrix corresponding to each primary indicator is constructed for the energy storage battery to be evaluated; wherein the energy storage battery safety assessment system includes at least one primary indicator and at least one secondary indicator corresponding to each primary indicator.

[0028] Figure 2 This is a schematic diagram of the structure of the energy storage battery safety assessment system provided in one embodiment of the present application. Figure 2 As shown, the energy storage battery safety assessment system includes at least one primary indicator and at least one secondary indicator corresponding to each primary indicator; wherein the primary indicator may include: battery aging degree indicator A1, power station operating condition indicator A2, battery operation status indicator A3, and grid-connected structure indicator A4; wherein the secondary indicators corresponding to the battery aging degree indicator A1 include: health status A11, remaining life A12, and aging inconsistency A13; the secondary indicators corresponding to the power station operating condition indicator A2 include: power station charging and discharging power A21, charging and discharging state A22, peak and frequency modulation amplitude A23, charging and discharging depth A24, and charging and discharging speed A25; the secondary indicators corresponding to the battery operation status indicator A3 include: battery charge state A31, temperature state A32, energy state A33, and power state A34; the secondary indicators corresponding to the grid-connected structure indicator A4 include: battery topology structure A41, battery pack balance assessment indicator A42, and abnormal battery proportion A43.

[0029] In this step, the number of rows and columns of the judgment matrix corresponding to each primary indicator is equal to the number of secondary indicators corresponding to each primary indicator. For example, the number of secondary indicators corresponding to the battery aging index A1 is 3, so the judgment matrix corresponding to the battery aging index A1 is a matrix with three rows and three columns. In one embodiment, for the judgment matrix corresponding to the battery aging index A1, the numerical value corresponding to the first row and the first column can be the evaluation value of the health state A11; the numerical value corresponding to the first row and the second column can be the evaluation value of the remaining life A12; the numerical value corresponding to the first row and the third column can be the evaluation value of the aging inconsistency A13. Then the numerical value corresponding to the first row and the first column can be the reciprocal of the numerical value corresponding to the second row and the second column; the numerical value corresponding to the first row and the first column can be the reciprocal of the numerical value corresponding to the third row and the third column. Therefore, the judgment matrix corresponding to each primary indicator can be constructed according to the above method.

[0030] In a specific embodiment of the present application, the judgment matrix corresponding to the battery aging index A1 can be expressed as P1, the judgment matrix corresponding to the power station condition index A2 can be expressed as P2, the judgment matrix corresponding to the battery operating state index A3 can be expressed as P3, and the judgment matrix corresponding to the grid structure index A4 can be expressed as P4. In one embodiment,

[0031] S102, calculating the membership vector of the energy storage battery to be evaluated according to the judgment matrix corresponding to each primary indicator and the predetermined reference evaluation vector corresponding to one or more primary indicators and the reference evaluation vector corresponding to one or more secondary indicators.

[0032] In this step, the weight coefficients corresponding to the secondary indicators can be calculated according to the judgment matrix corresponding to each primary indicator; then, the comprehensive evaluation matrix of the energy storage battery to be evaluated can be calculated according to the reference evaluation vectors corresponding to the one or more primary indicators and the reference evaluation vectors corresponding to the one or more secondary indicators; and then, the membership vector of the energy storage battery to be evaluated can be calculated according to the weight coefficients corresponding to each secondary indicator and the comprehensive evaluation matrix.

[0033] S103. Determine the safety level of the energy storage battery to be evaluated according to the membership vector; wherein the safety level includes: normal level, slight level, general level or severe level.

[0034] In this step, all the membership vector components may be extracted from the membership vector first; then the largest membership vector component may be extracted from all the membership vector components; and then the safety level of the energy storage battery to be evaluated may be determined based on the largest membership vector component.

[0035] The membership vector in the embodiment of the present application may include four membership vector components, namely: a first membership vector component, a second membership vector component, a third membership vector component, and a fourth membership vector component; wherein the first membership vector component is a membership vector component corresponding to a normal level; the second membership vector component is a membership vector component corresponding to a minor level; the third membership vector component is a membership vector component corresponding to a general level; and the fourth membership vector component is a membership vector component corresponding to a severe level.

[0036] The safety assessment method for energy storage batteries proposed in the embodiment of the present application first constructs a judgment matrix corresponding to each first-level indicator for the energy storage battery to be evaluated based on a pre-constructed energy storage battery safety assessment system; then calculates the membership vector of the energy storage battery to be evaluated according to the judgment matrix corresponding to each first-level indicator and the reference evaluation vector corresponding to one or more first-level indicators and one or more second-level indicators determined in advance; and then determines the safety level of the energy storage battery to be evaluated according to the membership vector. That is to say, in the technical scheme of the present application, the safety level of the energy storage battery to be evaluated can be determined based on the pre-constructed energy storage battery safety assessment system. In the prior art, traditional assessment methods all use a simple single model to evaluate the operating status of the battery, and do not utilize the mutual relationship between the various battery parameters. Therefore, compared with the prior art, the safety assessment method for energy storage batteries proposed in the embodiment of the present application can accurately and timely evaluate the safety of the energy storage battery, thereby providing a guarantee for the safe and stable operation of the power grid system; and the technical scheme of the embodiment of the present application is simple and convenient to implement, easy to popularize, and has a wider range of applications.

[0037] Figure 3 A schematic flow chart of a safety assessment method for an energy storage battery provided in another embodiment of the present application. The above technical solution is further optimized and expanded, and can be combined with the above optional implementation methods. Figure 3 As shown, the safety assessment method of the energy storage battery may include the following steps:

[0038] S301. Based on a pre-constructed energy storage battery safety assessment system, a judgment matrix corresponding to each primary indicator is constructed for the energy storage battery to be evaluated; wherein the energy storage battery safety assessment system includes at least one primary indicator and at least one secondary indicator corresponding to each primary indicator.

[0039] S302: Calculate the weight coefficient corresponding to each secondary indicator according to the judgment matrix corresponding to each primary indicator.

[0040] In this step, each row or column can be extracted from the judgment matrix corresponding to each primary indicator; then, the weight coefficient corresponding to each secondary indicator is calculated according to each row or column in the judgment matrix corresponding to each primary indicator. In one embodiment, the average value of each row or column in the judgment matrix corresponding to each primary indicator can be calculated as the weight coefficient corresponding to each secondary indicator.

[0041] S303: Calculate a comprehensive evaluation matrix of the energy storage battery to be evaluated according to the reference evaluation vectors corresponding to the one or more primary indicators and the reference evaluation vectors corresponding to the one or more secondary indicators.

[0042] The reference evaluation vectors corresponding to the primary indicators in the embodiment of the present application may be multiple; the reference evaluation vectors corresponding to the secondary indicators may also be multiple. For example, the reference evaluation vectors corresponding to the aging inconsistency A13 may be the following three: (0.2, 0.6, 01, 01), (0.3, 0.5, 0.2, 0), (0.4, 0.4, 0.2, 0). For another example, the reference evaluation vectors corresponding to the power station charging and discharging power A21 may be the following three: (0.8, 0.1, 0.1, 0), (0.7, 0.2, 0.1, 0), (0.6, 0.3, 0.1, 0). In this step, the average of the corresponding values ​​in the reference evaluation vector may be used as the target value in the reference evaluation vector. For example, in the reference evaluation vector corresponding to the aging inconsistency A13, the first target value may be the average of 0.2, 0.3 and 0.4; the second target value may be the average of 0.6, 0.5 and 0.4. Then, the comprehensive evaluation matrix of the energy storage battery to be evaluated can be calculated according to the predetermined weight values ​​of each primary indicator and the weight values ​​of each secondary indicator.

[0043] S304: Calculate the membership vector of the energy storage battery to be evaluated according to the weight coefficients corresponding to the secondary indicators and the comprehensive evaluation matrix.

[0044] In this step, a weight vector can be constructed based on the weight coefficients corresponding to each secondary indicator; then the weight vector is multiplied by the comprehensive evaluation matrix to obtain the membership vector of the energy storage battery to be evaluated. The weight vector in the embodiment of the present application can be represented as W, and the comprehensive evaluation matrix can be represented as R.

[0045] S305. Determine the safety level of the energy storage battery to be evaluated according to the membership vector; wherein the safety level includes: normal level, slight level, general level or severe level.

[0046] In this step, all the membership vector components may be extracted from the membership vector first; then the largest membership vector component may be extracted from all the membership vector components; and then the safety level of the energy storage battery to be evaluated may be determined based on the largest membership vector component.

[0047] The safety assessment method for energy storage batteries proposed in the embodiment of the present application first constructs a judgment matrix corresponding to each first-level indicator for the energy storage battery to be evaluated based on a pre-constructed energy storage battery safety assessment system; then calculates the membership vector of the energy storage battery to be evaluated according to the judgment matrix corresponding to each first-level indicator and the reference evaluation vector corresponding to one or more first-level indicators and one or more second-level indicators determined in advance; and then determines the safety level of the energy storage battery to be evaluated according to the membership vector. That is to say, in the technical scheme of the present application, the safety level of the energy storage battery to be evaluated can be determined based on the pre-constructed energy storage battery safety assessment system. In the prior art, traditional assessment methods all use a simple single model to evaluate the operating status of the battery, and do not utilize the mutual relationship between the various battery parameters. Therefore, compared with the prior art, the safety assessment method for energy storage batteries proposed in the embodiment of the present application can accurately and timely evaluate the safety of the energy storage battery, thereby providing a guarantee for the safe and stable operation of the power grid system; and the technical scheme of the embodiment of the present application is simple and convenient to implement, easy to popularize, and has a wider range of applications.

[0048] Figure 4 A flowchart of a safety assessment method for energy storage batteries provided in another embodiment of the present application. The above technical solution is further optimized and expanded, and can be combined with the above optional implementation methods. Figure 4 As shown, the safety assessment method of the energy storage battery may include the following steps:

[0049] S401. Based on a pre-constructed energy storage battery safety assessment system, a judgment matrix corresponding to each primary indicator is constructed for the energy storage battery to be evaluated; wherein the energy storage battery safety assessment system includes at least one primary indicator and at least one secondary indicator corresponding to each primary indicator.

[0050] S402: Calculate the membership vector of the energy storage battery to be evaluated according to the judgment matrix corresponding to each primary indicator and the predetermined reference evaluation vector corresponding to one or more primary indicators and the reference evaluation vector corresponding to one or more secondary indicators.

[0051] In this step, the weight coefficients corresponding to the secondary indicators can be calculated according to the judgment matrix corresponding to each primary indicator; then, the comprehensive evaluation matrix of the energy storage battery to be evaluated can be calculated according to the reference evaluation vectors corresponding to the one or more primary indicators and the reference evaluation vectors corresponding to the one or more secondary indicators; and then, the membership vector of the energy storage battery to be evaluated can be calculated according to the weight coefficients corresponding to each secondary indicator and the comprehensive evaluation matrix.

[0052] Furthermore, when calculating the weight coefficient corresponding to each secondary indicator based on the judgment matrix corresponding to each primary indicator, each row or column can be extracted from the judgment matrix corresponding to each primary indicator first; and then the weight coefficient corresponding to each secondary indicator can be calculated based on each row or column in the judgment matrix corresponding to each primary indicator.

[0053] Furthermore, when calculating the weight coefficient corresponding to each first-level indicator according to the judgment matrix corresponding to each first-level indicator, each column in the judgment matrix corresponding to each first-level indicator can be normalized first to obtain the normalized judgment matrix; then the judgment matrix after normalization is added column by column to obtain the judgment vector after column addition; and then the judgment vector after column addition is normalized to obtain the weight coefficient corresponding to each first-level indicator.

[0054] Specifically, each column in the judgment matrix corresponding to each primary indicator is normalized and transformed, and the following formula can be used: Among them, n is the order of the judgment matrix, i is the row of the judgment matrix, and j is the column of the judgment matrix.

[0055] Specifically, the judgment matrix after normalization is added in columns, and the following formula can be used:

[0056]

[0057] Specifically, the judgment vector after adding the columns is normalized, and the following formula can be used:

[0058]

[0059] S403: extract all the membership vector components from the membership vector.

[0060] The membership vector in the embodiment of the present application can be expressed as {b1, b2, b3, b4}; wherein b1, b2, b3, b4 are respectively the first membership vector component, the second membership vector component, the third membership vector component and the fourth membership vector component; wherein the first membership vector component is the membership vector component corresponding to the normal level; the second membership vector component is the membership vector component corresponding to the minor level; the third membership vector component is the membership vector component corresponding to the general level; and the fourth membership vector component is the membership vector component corresponding to the severe level.

[0061] S404: Extract the largest membership vector component from all membership vector components.

[0062] S405: Determine the safety level of the energy storage battery to be evaluated according to the largest membership vector component.

[0063] The safety assessment method for energy storage batteries proposed in the embodiment of the present application first constructs a judgment matrix corresponding to each first-level indicator for the energy storage battery to be evaluated based on a pre-constructed energy storage battery safety assessment system; then calculates the membership vector of the energy storage battery to be evaluated according to the judgment matrix corresponding to each first-level indicator and the reference evaluation vector corresponding to one or more first-level indicators and one or more second-level indicators determined in advance; and then determines the safety level of the energy storage battery to be evaluated according to the membership vector. That is to say, in the technical scheme of the present application, the safety level of the energy storage battery to be evaluated can be determined based on the pre-constructed energy storage battery safety assessment system. In the prior art, traditional assessment methods all use a simple single model to evaluate the operating status of the battery, and do not utilize the mutual relationship between the various battery parameters. Therefore, compared with the prior art, the safety assessment method for energy storage batteries proposed in the embodiment of the present application can accurately and timely evaluate the safety of the energy storage battery, thereby providing a guarantee for the safe and stable operation of the power grid system; and the technical scheme of the embodiment of the present application is simple and convenient to implement, easy to popularize, and has a wider range of applications.

[0064] Figure 5 This is a schematic diagram of the structure of a safety assessment device for an energy storage battery provided in one embodiment of the present application. Figure 5 As shown, the safety assessment device for the energy storage battery includes: a construction module 501, a calculation module 502 and a determination module 503; wherein,

[0065] The construction module 501 is used to construct a judgment matrix corresponding to each primary indicator for the energy storage battery to be evaluated based on a pre-constructed energy storage battery safety assessment system; wherein the energy storage battery safety assessment system includes at least one primary indicator and at least one secondary indicator corresponding to each primary indicator;

[0066] The calculation module 502 is used to calculate the membership vector of the energy storage battery to be evaluated according to the judgment matrix corresponding to each primary indicator and the predetermined reference evaluation vector corresponding to one or more primary indicators and the reference evaluation vector corresponding to one or more secondary indicators;

[0067] The determination module 503 is used to determine the safety level of the energy storage battery to be evaluated according to the membership vector; wherein the safety level includes: normal level, slight level, general level or severe level.

[0068] The above-mentioned energy storage battery safety assessment device can execute the method provided in any embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method. For technical details not fully described in this embodiment, please refer to the energy storage battery safety assessment method provided in any embodiment of the present application.

[0069] Figure 6 A schematic diagram of the structure of an electronic device provided in one embodiment of the present application. Figure 6 A block diagram of an exemplary electronic device suitable for implementing the embodiments of the present application is shown. Figure 6 The electronic device 12 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0070] like Figure 6 As shown, the electronic device 12 is in the form of a general purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that connects various system components (including the system memory 28 and the processing unit 16).

[0071] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0072] The electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 12, including volatile and non-volatile media, removable and non-removable media.

[0073] The system memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 6 not shown, usually called a "hard drive"). Although Figure 6 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical medium) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present application.

[0074] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in the memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0075] The electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, etc.), may communicate with one or more devices that enable a user to interact with the electronic device 12, and / or may communicate with any device that enables the electronic device 12 to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed via an input / output (I / O) interface 22. Furthermore, the electronic device 12 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with other modules of the electronic device 12 via the bus 18. It should be understood that although Figure 6 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0076] The processing unit 16 executes various functional applications and data processing by running the programs stored in the system memory 28, such as implementing the safety assessment method of the energy storage battery provided in the embodiment of the present application.

[0077] The embodiment of the present application also provides a computer storage medium.

[0078] The computer-readable storage medium of the embodiment of the present application can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, - but not limited to - a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive lists) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, a device or a device or used in combination with it.

[0079] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0080] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0081] Computer program code for performing the operation of the present application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., using an Internet service provider to connect through the Internet).

[0082] The embodiment of the present application also provides a computer program product.

[0083] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer program products, which can include one or more computer programs, which can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor, which can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0084] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A safety assessment method for an energy storage battery, characterized in that: The method comprises: Based on a pre-constructed energy storage battery safety assessment system, a judgment matrix corresponding to each primary indicator is constructed for the energy storage battery to be evaluated; wherein the energy storage battery safety assessment system includes at least one primary indicator and at least one secondary indicator corresponding to each primary indicator; Calculate the membership vector of the energy storage battery to be evaluated according to the judgment matrix corresponding to each primary indicator and the predetermined reference evaluation vector corresponding to one or more primary indicators and the reference evaluation vector corresponding to one or more secondary indicators; The safety level of the energy storage battery to be evaluated is determined according to the membership vector; wherein the safety level includes: normal level, slight level, general level or severe level.

2. The method according to claim 1, characterized in that The first-level indicators include: battery aging degree index, power station operating condition index, battery operation status index, and grid-connected structure index; among them, the second-level indicators corresponding to the battery aging degree index include: health status, remaining life, and aging inconsistency; the second-level indicators corresponding to the power station operating condition index include: power station charging and discharging power, charging and discharging status, peak and frequency regulation amplitude, charging and discharging depth, and charging and discharging speed; the second-level indicators corresponding to the battery operation status index include: battery charge state, temperature state, energy state, and power state; the second-level indicators corresponding to the grid-connected structure index include: battery topology structure, battery pack balance evaluation index, and abnormal battery proportion.

3. The method according to claim 1, characterized in that Calculating the membership vector of the energy storage battery to be evaluated according to the judgment matrix corresponding to each primary indicator and the predetermined reference evaluation vector corresponding to one or more primary indicators and the reference evaluation vector corresponding to one or more secondary indicators, including: According to the judgment matrix corresponding to each first-level indicator, calculate the weight coefficient corresponding to each second-level indicator; Calculating a comprehensive evaluation matrix of the energy storage battery to be evaluated according to the reference evaluation vectors corresponding to the one or more primary indicators and the reference evaluation vectors corresponding to the one or more secondary indicators; According to the weight coefficients corresponding to the various secondary indicators and the comprehensive evaluation matrix, the membership vector of the energy storage battery to be evaluated is calculated.

4. The method according to claim 3, characterized in that According to the judgment matrix corresponding to each first-level indicator, the weight coefficient corresponding to each second-level indicator is calculated, including: Extract each row or column in the judgment matrix corresponding to each primary indicator; According to each row or column in the judgment matrix corresponding to each primary indicator, the weight coefficient corresponding to each secondary indicator is calculated.

5. The method according to claim 3, characterized in that: According to the judgment matrix corresponding to each first-level indicator, the weight coefficient corresponding to each first-level indicator is calculated, including: Each column in the judgment matrix corresponding to each primary indicator is normalized to obtain a judgment matrix after normalization; Add the columns of the judgment matrix after normalization to obtain the judgment vector after column addition; The judgment vector after adding the columns is normalized to obtain the weight coefficient corresponding to each first-level indicator.

6. The method according to claim 1, characterized in that Determining the safety level of the energy storage battery to be evaluated according to the membership vector includes: Extracting all the membership vector components from the membership vector; Extract the largest membership vector component from all membership vector components; The safety level of the energy storage battery to be evaluated is determined according to the maximum membership vector component.

7. The method according to claim 1, characterized in that The membership vector includes four membership vector components, namely: a first membership vector component, a second membership vector component, a third membership vector component, and a fourth membership vector component; wherein the first membership vector component is the membership vector component corresponding to the normal level; the second membership vector component is the membership vector component corresponding to the minor level; the third membership vector component is the membership vector component corresponding to the general level; and the fourth membership vector component is the membership vector component corresponding to the severe level.

8. A safety assessment device for an energy storage battery, characterized in that: The device comprises: a construction module, a calculation module and a determination module; wherein, The construction module is used to construct a judgment matrix corresponding to each primary indicator for the energy storage battery to be evaluated based on a pre-constructed energy storage battery safety assessment system; wherein the energy storage battery safety assessment system includes at least one primary indicator and at least one secondary indicator corresponding to each primary indicator; The calculation module is used to calculate the membership vector of the energy storage battery to be evaluated according to the judgment matrix corresponding to each primary indicator and the predetermined reference evaluation vector corresponding to one or more primary indicators and the reference evaluation vector corresponding to one or more secondary indicators; The determination module is used to determine the safety level of the energy storage battery to be evaluated according to the membership vector; wherein the safety level includes: normal level, slight level, general level or severe level.

9. An electronic device, characterized in that: include: one or more processors; a memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the safety assessment method for the energy storage battery according to any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the safety assessment method for the energy storage battery according to any one of claims 1 to 7 is implemented.

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