Energy storage battery safety monitoring method and system

Abstract

The invention belongs to the technical field of energy storage batteries, and discloses an energy storage battery safety monitoring method and system. The method comprises the following steps: collecting real-time parameters of an energy storage battery; processing the collected real-time parameters of the energy storage battery to obtain the change rate of the real-time parameters; comparing the real-time parameter and the change rate of the real-time parameter with a corresponding monitoring threshold obtained by a pre-test, and if the real-time parameter exists or the change rate of the real-time parameter is greater than the corresponding monitoring threshold, sending out early warning information; wherein the monitoring threshold value is obtained by performing circulation and thermal runaway test on a plurality of energy storage batteries of the same model. According to the invention, circulation and thermal runaway testing are carried out on a plurality of energy storage batteries of the same model, a plurality of monitoring thresholds can be accurately obtained, and early warning can be carried out in time by comparing the monitoring parameters with the monitoring thresholds.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage batteries, and in particular relates to a method and system for monitoring the safety of energy storage batteries. Background Art

[0002] Energy storage systems are the optimal solution for addressing the intermittent and random nature of renewable energy and the integration of distributed power grids. They are a key technology supporting the development of smart grids and new energy sources. The development of energy storage and its related application models has become a key task in building smart grids and developing the Energy Internet. Lithium-ion batteries, due to their long lifespan and rapid charge and discharge rates, have become one of the most competitive technologies for large-scale power storage.

[0003] However, due to imperfect safety monitoring technology, a number of fire and explosion accidents have occurred in lithium battery energy storage systems in recent years. In response, relevant standardization organizations have taken the lead in developing relevant standards to promote the safe design and standardized operation of energy storage batteries.

[0004] At present, the prediction accuracy of lithium battery safety monitoring is low and the false alarm rate is high. It is necessary to provide a storage battery safety monitoring method that can perform lithium battery safety monitoring and early warning more simply and accurately. Summary of the Invention

[0005] The object of the present invention is to provide a method and system for monitoring the safety of energy storage batteries, which couple multiple parameters such as voltage, voltage change rate, temperature, temperature change rate, resistance, resistance change rate, pressure, pressure change rate, deformation and deformation change rate using data processing means to perform energy storage battery safety monitoring.

[0006] Compared with the prior art, the present invention has the following beneficial effects: In a first aspect, the present invention provides a method for monitoring the safety of an energy storage battery, comprising: Collect real-time parameters of energy storage batteries; Process the collected real-time parameters of the energy storage battery to obtain the rate of change of the real-time parameters; Comparing the real-time parameters and the rates of change of the real-time parameters with corresponding monitoring thresholds obtained in a pre-test, and issuing an early warning message if any real-time parameter or the rate of change of the real-time parameter is greater than the corresponding monitoring threshold; The monitoring threshold is obtained by performing cycle and thermal runaway tests on a number of energy storage batteries of the same model.

[0007] The present invention is further improved in that: The monitoring thresholds include life monitoring thresholds and safety monitoring thresholds. The monitoring thresholds are obtained by performing cycle and thermal runaway tests on several energy storage batteries of the same model, specifically including: Perform N cycles and thermal runaway tests on the same type of energy storage battery to obtain a test data set; The test data set includes multiple parameters of the same model battery and the change rate of each parameter. The multiple parameters include voltage, temperature, pressure, internal resistance, and deformation parameters. The change rate of each parameter includes the voltage change rate, temperature change rate, pressure change rate, internal resistance change rate, and deformation change rate. N is a positive integer. Analyze the test data set according to the cycle and thermal runaway process to obtain the characteristic values ​​of each parameter and parameter change rate; Analyzing a first correlation between a change amount and a change rate of each parameter in a cycle stage, and setting a corresponding characteristic value as a life monitoring threshold according to the first correlation; The second correlation between the change amount and the change rate of each parameter in each stage before thermal runaway occurs is analyzed, and the corresponding characteristic value is set as the safety monitoring threshold according to the second correlation.

[0008] A further improvement of the present invention is that: N≥20.

[0009] A further improvement of the present invention is that: in the step of analyzing the first correlation between the amount of change and the rate of change of each parameter in the cycle stage, the Apriori algorithm is specifically used to analyze the first correlation between the amount of change and the rate of change of each parameter in the cycle stage; In the step of analyzing the second correlation between the change amount and the change rate of each parameter in each stage before the occurrence of thermal runaway, the Apriori algorithm is specifically used to analyze the second correlation between the change amount and the change rate of each parameter in each stage before the occurrence of thermal runaway.

[0010] A further improvement of the present invention is that the real-time parameters include voltage, temperature, pressure, internal resistance, and deformation. In the step of collecting the real-time parameters of the energy storage battery, the voltage is collected by a voltage sensor, the temperature is collected by a temperature sensor, the pressure is collected by a pressure sensor on the surface of the energy storage battery, the internal resistance is collected by an internal resistance tester, and the deformation is collected by a micrometer or a lithium battery charge and discharge deformation test system.

[0011] In a second aspect, the present invention provides an energy storage battery safety monitoring system, comprising: Data acquisition module, used to collect real-time parameters of energy storage batteries; The data processing module is used to process the collected real-time parameters of the energy storage battery and obtain the rate of change of the real-time parameters; An early warning module is used to compare the real-time parameters and the rate of change of the real-time parameters with the corresponding monitoring thresholds obtained in advance, and issue an early warning message if any real-time parameter or the rate of change of the real-time parameter is greater than the corresponding monitoring threshold; The monitoring threshold is obtained by performing cycle and thermal runaway tests on a number of energy storage batteries of the same model.

[0012] A further improvement of the present invention is that in the step of collecting real-time parameters of the energy storage battery, the energy storage battery is a lithium battery.

[0013] A further improvement of the present invention is that the monitoring thresholds include life monitoring thresholds and safety monitoring thresholds, which are obtained by performing cycle and thermal runaway tests on a number of energy storage batteries of the same model, specifically including: Perform N cycles and thermal runaway tests on the same type of energy storage battery to obtain a test data set; The test data set includes multiple parameters of the same model battery and the change rate of each parameter. The multiple parameters include voltage, temperature, pressure, internal resistance, and deformation parameters. The change rate of each parameter includes the voltage change rate, temperature change rate, pressure change rate, internal resistance change rate, and deformation change rate. N is a positive integer. Analyze the test data set according to the cycle and thermal runaway process to obtain the characteristic values ​​of each parameter and parameter change rate; Analyzing a first correlation between a change amount and a change rate of each parameter in a cycle stage, and setting a corresponding characteristic value as a life monitoring threshold according to the first correlation; The second correlation between the change amount and the change rate of each parameter in each stage before thermal runaway occurs is analyzed, and the corresponding characteristic value is set as the safety monitoring threshold according to the second correlation.

[0014] A further improvement of the present invention is that: N≥20.

[0015] A further improvement of the present invention is that: in the step of analyzing the first correlation between the amount of change and the rate of change of each parameter in the cycle stage, the Apriori algorithm is specifically used to analyze the first correlation between the amount of change and the rate of change of each parameter in the cycle stage; In the step of analyzing the second correlation between the change amount and the change rate of each parameter in each stage before the occurrence of thermal runaway, the Apriori algorithm is specifically used to analyze the second correlation between the change amount and the change rate of each parameter in each stage before the occurrence of thermal runaway.

[0016] A further improvement of the present invention is that: in the step of collecting parameters of the energy storage battery, the voltage is collected by a voltage sensor, the temperature is collected by a temperature sensor, the pressure is collected by a pressure sensor on the surface of the energy storage battery, the internal resistance is collected by an internal resistance tester, and the deformation is collected by a micrometer or a lithium battery charge and discharge deformation test system.

[0017] In a third aspect, the present invention provides an electronic device comprising a processor and a memory, wherein the processor is configured to execute a computer program stored in the memory to implement the energy storage battery safety monitoring method.

[0018] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the energy storage battery safety monitoring method is implemented.

[0019] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a method for monitoring the safety of energy storage batteries, comprising: collecting real-time parameters of the energy storage battery; processing the collected real-time parameters of the energy storage battery to obtain the rate of change of the real-time parameters; comparing the real-time parameters and the rate of change of the real-time parameters with corresponding monitoring thresholds obtained in a pre-test; and issuing a warning message if any real-time parameter or the rate of change of the real-time parameter exceeds the corresponding monitoring threshold; wherein the monitoring threshold is obtained by performing cycling and thermal runaway tests on a number of energy storage batteries of the same model. The present invention performs cycling and thermal runaway tests on a number of energy storage batteries of the same model to accurately obtain a number of monitoring thresholds, and by comparing the monitoring parameters with the monitoring thresholds, a timely warning can be issued.

[0020] Furthermore, in the present invention, the monitoring threshold includes a life monitoring threshold and a safety monitoring threshold, and the monitoring threshold is obtained by performing cycling and thermal runaway tests on a number of energy storage batteries of the same model, specifically including: performing cycling and thermal runaway tests on the energy storage batteries of the same model N times to obtain a test data set; the test data set includes multiple parameters of the same model battery and the change rate of each parameter, the multiple parameters include voltage, temperature, pressure, internal resistance, and deformation parameters; the change rate of each parameter includes the voltage change rate, temperature change rate, pressure change rate, internal resistance change rate, and deformation change rate; N is a positive integer; the test data set is analyzed according to the cycling and thermal runaway process to obtain the characteristic values ​​of each parameter and the parameter change rate; the first correlation relationship between the change amount and the change rate of each parameter in the cycling stage is analyzed, and the corresponding characteristic value is set as the life monitoring threshold according to the first correlation relationship; the second correlation relationship between the change amount and the change rate of each parameter in each stage before the thermal runaway occurs is analyzed, and the corresponding characteristic value is set as the safety monitoring threshold according to the second correlation relationship. In the present invention, the voltage, temperature, and pressure of the energy storage battery are collected, especially the internal resistance and deformation parameters that are more sensitive to battery thermal runaway. The change rate of each parameter is obtained through data processing, and the association rules are extracted by combining them with the battery voltage, temperature, and pressure through an association rule mining algorithm. This can enable more sensitive and accurate energy storage battery safety monitoring with high precision and low false alarm rate.

[0021] Furthermore, the present invention obtains parameter characteristic values ​​and trigger priorities based on the cycle and thermal runaway process analysis through the test data set; uses the association rule mining algorithm to extract association rules: analyzes the first correlation relationship between the change amount and the change rate of each parameter in the cycle stage, and sets the corresponding characteristic value as the life monitoring threshold according to the first correlation relationship; analyzes the second correlation relationship between the change amount and the change rate of each parameter in each stage before the thermal runaway occurs, and sets the corresponding characteristic value as the safety monitoring threshold according to the second correlation relationship; provides a method for monitoring and evaluating the safety status of energy storage batteries in engineering applications, and provides important technical support for the stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings, which constitute part of the present invention, are intended to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are intended to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings: Figure 1 A schematic flow chart of a method for monitoring energy storage battery safety according to an embodiment of the present invention; Figure 2 This is a flow chart of a method for monitoring energy storage battery safety according to another embodiment of the present invention; Figure 3 This is a structural block diagram of an energy storage battery safety monitoring system of the present invention; Figure 4 This is a structural block diagram of an electronic device of the present invention. DETAILED DESCRIPTION

[0023] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, in the absence of conflict, the embodiments and features of the embodiments of the present invention can be combined with each other.

[0024] The following detailed description is an exemplary description and is intended to provide further detailed description of the present invention. Unless otherwise indicated, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention.

[0025] See also Figure 1 As shown, an embodiment of the present invention provides a method for monitoring the safety of an energy storage battery, comprising: S1. Collect data on the battery according to the sampling period to obtain voltage, temperature, pressure, internal resistance, and deformation parameters; S2. Process the voltage, temperature, pressure, internal resistance, and deformation parameters directly obtained in S1 to obtain the change rates of the corresponding parameters, including the voltage change rate, temperature change rate, pressure change rate, internal resistance change rate, and deformation change rate; S3. Conduct cycling and thermal runaway tests on the same battery model, complete more than 20 tests, and accumulate a test data set; the data set includes the voltage, temperature, pressure, internal resistance, and deformation parameters of the same battery model, as well as the change rates of the corresponding parameters: voltage change rate, temperature change rate, pressure change rate, internal resistance change rate, and deformation change rate; S4. Analyze parameter characteristic values ​​and trigger priorities based on the cycle and thermal runaway process through the test data set; S5, using Apriori algorithm to extract association rules; S6. Obtain the monitoring thresholds of various parameters in the safety monitoring of the energy storage battery of this model.

[0026] In a specific embodiment, the test data set results can be set as input to the corresponding data monitoring module and used as different monitoring thresholds for energy storage battery safety monitoring.

[0027] In a specific embodiment, the voltage is collected by a voltage sensor, the temperature is collected by a temperature sensor, the pressure is collected by a pressure sensor on the surface of the energy storage battery, the internal resistance is collected by an internal resistance tester, and the deformation is collected by a micrometer or a lithium battery charge and discharge deformation test system.

[0028] In a specific embodiment, the internal resistance tester can be obtained by using a lithium battery internal resistance tester disclosed in CN221667980U or similar equipment.

[0029] In a specific embodiment, the deformation is collected by the lithium battery charge and discharge deformation testing system disclosed in CN112797879A or a similar system.

[0030] The applicant found that the internal resistance and deformation of lithium batteries are more sensitive to thermal runaway, especially deformation is more sensitive to thermal runaway than temperature. By collecting the internal resistance and deformation parameters that are more sensitive to battery thermal runaway, and extracting association rules with battery voltage, temperature, and pressure through an association rule mining algorithm, energy storage battery safety monitoring can be performed more sensitively and accurately, with high precision and low false alarm rate.

[0031] See also Figure 2 As shown, an embodiment of the present invention provides a method for monitoring the safety of an energy storage battery, comprising: S100, collecting real-time parameters of an energy storage battery, wherein the parameters include voltage, temperature, pressure, internal resistance, and deformation; the energy storage battery is a lithium battery; S200, processing the collected real-time parameters of the energy storage battery to obtain the change rate of the real-time parameters; S300, comparing the real-time parameters and the rates of change of the real-time parameters with corresponding monitoring thresholds obtained in a pre-test, and issuing an early warning message and a corresponding early warning level if any real-time parameter or the rate of change of the real-time parameter is greater than the corresponding monitoring threshold; The monitoring threshold is obtained by performing cycle and thermal runaway tests on a number of energy storage batteries of the same model.

[0032] In one embodiment, the monitoring threshold is obtained by performing cycling and thermal runaway tests on a number of energy storage batteries of the same model, specifically including: S401. Perform N cycles and thermal runaway tests on the same type of energy storage battery to obtain a test data set; the test data set includes multiple parameters of the same type of battery and the rate of change of each parameter, the multiple parameters including voltage, temperature, pressure, internal resistance, and deformation parameters; the rate of change of each parameter includes the voltage change rate, temperature change rate, pressure change rate, internal resistance change rate, and deformation change rate; N is a positive integer greater than or equal to 20; S402, analyzing the test data set according to the cycle and thermal runaway process to obtain characteristic values ​​and trigger priorities of various parameters and parameter change rates; S403. Use an association rule mining algorithm (e.g., Apriori algorithm) to extract association rules: analyze a first association relationship between the amount of change and the rate of change of each parameter in the cycle stage, and set a corresponding characteristic value as the life monitoring threshold based on the first association relationship; analyze a second association relationship between the amount of change and the rate of change of each parameter in each stage before thermal runaway occurs, and set a corresponding characteristic value as the safety monitoring threshold based on the second association relationship.

[0033] In a specific embodiment, the correlation relationship refers to the order of the various indicators (various parameters and parameter change rates) and whether there is a coupling relationship. The coupling relationship is mined through the Apriori algorithm. When there is a coupling relationship, the characteristic value corresponding to an indicator with a higher priority in the coupling relationship can be set as the monitoring threshold.

[0034] In a specific embodiment, thermal runaway and circulation correspond to two directions. Thermal runaway corresponds to a safety monitoring threshold, and the corresponding characteristic value is the safety monitoring threshold; circulation analysis corresponds to a threshold for life prediction, and the corresponding characteristic value is the life monitoring threshold.

[0035] In a specific embodiment, the characteristic values ​​and correlations of the parameters of thermal runaway and cycle process are different, so both situations are investigated and analyzed.

[0036] In one specific embodiment, voltage is collected via a voltage sensor, temperature via a temperature sensor, pressure via a pressure sensor on the surface of the energy storage battery, internal resistance via an internal resistance tester, and deformation via a micrometer or a lithium battery charge-discharge deformation test system. Specifically, the internal resistance tester can be a lithium battery internal resistance tester disclosed in CN221667980U or similar equipment. Specifically, deformation is collected via a lithium battery charge-discharge deformation test system disclosed in CN112797879A or a similar system.

[0037] See also Figure 3 As shown, an embodiment of the present invention provides an energy storage battery safety monitoring system, comprising: The data acquisition module is used to collect real-time parameters of the energy storage battery, including voltage, temperature, pressure, internal resistance and deformation; the energy storage battery is a lithium battery The data processing module is used to process the collected real-time parameters of the energy storage battery and obtain the rate of change of the real-time parameters; An early warning module is used to compare the real-time parameters and the rate of change of the real-time parameters with the corresponding monitoring thresholds obtained in advance, and to issue a safety early warning message if the real-time parameters or the rate of change of the real-time parameters are greater than the corresponding monitoring thresholds; The monitoring threshold is obtained by performing cycle and thermal runaway tests on a number of energy storage batteries of the same model.

[0038] In a specific embodiment, the monitoring thresholds include life monitoring thresholds and safety monitoring thresholds. The monitoring thresholds are obtained by performing cycle and thermal runaway tests on a number of energy storage batteries of the same model, specifically including: Perform N cycles and thermal runaway tests on the same type of energy storage battery to obtain a test data set; the test data set includes multiple parameters of the same type of battery and the rate of change of each parameter, the multiple parameters including voltage, temperature, pressure, internal resistance, and deformation parameters; the rate of change of each parameter includes the voltage change rate, temperature change rate, pressure change rate, internal resistance change rate, and deformation change rate; N is a positive integer greater than or equal to 20; Analyze the test data set based on the cycle and thermal runaway process to obtain the characteristic values ​​and trigger priorities of each parameter and parameter change rate; An association rule mining algorithm (e.g., Apriori algorithm) is used to extract association rules: the first association relationship between the change amount and change rate of each parameter in the cycle stage is analyzed, and the corresponding characteristic value is set as the life monitoring threshold according to the first association relationship; the second association relationship between the change amount and change rate of each parameter in each stage before thermal runaway occurs is analyzed, and the corresponding characteristic value is set as the safety monitoring threshold according to the second association relationship.

[0039] In a specific embodiment, the correlation relationship refers to the order of the various indicators (various parameters and parameter change rates) and whether there is a coupling relationship. The coupling relationship is mined through the Apriori algorithm. When there is a coupling relationship, the characteristic value corresponding to an indicator with a higher priority in the coupling relationship can be set as the monitoring threshold.

[0040] In a specific embodiment, thermal runaway and circulation correspond to two directions. Thermal runaway corresponds to a safety monitoring threshold, and the corresponding characteristic value is the safety monitoring threshold; circulation analysis corresponds to a threshold for life prediction, and the corresponding characteristic value is the life monitoring threshold.

[0041] In a specific embodiment, the characteristic values ​​and correlations of the parameters of thermal runaway and cycle process are different, so both situations are investigated and analyzed.

[0042] In one specific embodiment, in the data acquisition module, voltage is acquired via a voltage sensor, temperature is acquired via a temperature sensor, pressure is acquired via a pressure sensor on the surface of the energy storage battery, internal resistance is acquired via an internal resistance tester, and deformation is acquired via a micrometer or a lithium battery charge-discharge deformation test system. Specifically, the internal resistance tester can be a lithium battery internal resistance tester disclosed in CN221667980U or similar equipment. Specifically, deformation is acquired via a lithium battery charge-discharge deformation test system disclosed in CN112797879A or a similar system.

[0043] See also Figure 4 As shown, an embodiment of the present invention provides an electronic device 100 for implementing a method for safety monitoring of an energy storage battery; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.

[0044] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the energy storage battery safety monitoring method by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 can mainly include a program storage area and a data storage area. The program storage area can store an operating system and at least one application required for a function (such as a sound playback function, an image playback function, etc.); the data storage area can store data (such as audio data) created based on the use of the electronic device 100. In addition, the memory 101 can include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device.

[0045] The at least one processor 102 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor, etc. The processor 102 is the control center of the electronic device 100 and connects various parts of the entire electronic device 100 using various interfaces and lines.

[0046] The memory 101 in the electronic device 100 stores multiple instructions to implement a method for monitoring the safety of an energy storage battery. The processor 102 can execute the multiple instructions to implement: Collect real-time parameters of energy storage batteries; Process the collected real-time parameters of the energy storage battery to obtain the rate of change of the real-time parameters; Comparing the real-time parameters and the rates of change of the real-time parameters with corresponding monitoring thresholds obtained in a pre-test, and issuing an early warning message if any real-time parameter or the rate of change of the real-time parameter is greater than the corresponding monitoring threshold; The monitoring threshold is obtained by performing cycle and thermal runaway tests on a number of energy storage batteries of the same model.

[0047] If the module / unit integrated in the electronic device 100 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory and read-only memory (ROM, Read-Only Memory).

[0048] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0049] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0050] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0051] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A method for monitoring the safety of an energy storage battery, characterized in that: include: Collect real-time parameters of energy storage batteries; Process the collected real-time parameters of the energy storage battery to obtain the rate of change of the real-time parameters; Comparing the real-time parameters and the rates of change of the real-time parameters with corresponding monitoring thresholds obtained in a pre-test, and issuing an early warning message if any real-time parameter or the rate of change of the real-time parameter is greater than the corresponding monitoring threshold; The monitoring threshold is obtained by performing cycle and thermal runaway tests on a number of energy storage batteries of the same model.

2. The energy storage battery safety monitoring method according to claim 1, characterized in that: In the step of collecting real-time parameters of the energy storage battery, the energy storage battery is a lithium battery.

3. The energy storage battery safety monitoring method according to claim 1, characterized in that: The monitoring thresholds include life monitoring thresholds and safety monitoring thresholds. The monitoring thresholds are obtained by performing cycle and thermal runaway tests on several energy storage batteries of the same model, specifically including: Perform N cycles and thermal runaway tests on the same type of energy storage battery to obtain a test data set; the test data set includes multiple parameters of the same type of battery and the rate of change of each parameter, the multiple parameters include voltage, temperature, pressure, internal resistance, and deformation parameters; the rate of change of each parameter includes the voltage change rate, temperature change rate, pressure change rate, internal resistance change rate, and deformation change rate; N is a positive integer; Analyze the test data set according to the cycle and thermal runaway process to obtain the characteristic values ​​of each parameter and parameter change rate; Analyzing a first correlation between a change amount and a change rate of each parameter in a cycle stage, and setting a corresponding characteristic value as a life monitoring threshold according to the first correlation; The second correlation between the change amount and the change rate of each parameter in each stage before thermal runaway occurs is analyzed, and the corresponding characteristic value is set as the safety monitoring threshold according to the second correlation.

4. The energy storage battery safety monitoring method according to claim 3, characterized in that: N≥20。 5. The energy storage battery safety monitoring method according to claim 3, characterized in that: In the step of analyzing the first correlation between the variation and the rate of change of each parameter in the cycle phase, the Apriori algorithm is specifically used to analyze the first correlation between the variation and the rate of change of each parameter in the cycle phase; In the step of analyzing the second correlation between the change amount and the change rate of each parameter in each stage before the occurrence of thermal runaway, the Apriori algorithm is specifically used to analyze the second correlation between the change amount and the change rate of each parameter in each stage before the occurrence of thermal runaway.

6. The energy storage battery safety monitoring method according to claim 1, characterized in that: Real-time parameters include voltage, temperature, pressure, internal resistance, and deformation. In the step of collecting real-time parameters of the energy storage battery, the voltage is collected by a voltage sensor, the temperature is collected by a temperature sensor, the pressure is collected by a pressure sensor on the surface of the energy storage battery, the internal resistance is collected by an internal resistance tester, and the deformation is collected by a micrometer or a lithium battery charge and discharge deformation test system.

7. A storage battery safety monitoring system, characterized in that: include: Data acquisition module, used to collect real-time parameters of energy storage batteries; The data processing module is used to process the collected real-time parameters of the energy storage battery and obtain the rate of change of the real-time parameters; An early warning module is used to compare the real-time parameters and the rate of change of the real-time parameters with the corresponding monitoring thresholds obtained in advance, and issue an early warning message if any real-time parameter or the rate of change of the real-time parameter is greater than the corresponding monitoring threshold; The monitoring threshold is obtained by performing cycle and thermal runaway tests on a number of energy storage batteries of the same model.

8. The energy storage battery safety monitoring system according to claim 7, characterized in that: In the step of collecting real-time parameters of the energy storage battery, the energy storage battery is a lithium battery.

9. The energy storage battery safety monitoring system according to claim 7, characterized in that: The monitoring thresholds include life monitoring thresholds and safety monitoring thresholds. The monitoring thresholds are obtained by performing cycle and thermal runaway tests on several energy storage batteries of the same model, specifically including: Perform N cycles and thermal runaway tests on the same type of energy storage battery to obtain a test data set; The test data set includes multiple parameters of the same model battery and the change rate of each parameter. The multiple parameters include voltage, temperature, pressure, internal resistance, and deformation parameters. The change rate of each parameter includes the voltage change rate, temperature change rate, pressure change rate, internal resistance change rate, and deformation change rate. N is a positive integer. Analyze the test data set according to the cycle and thermal runaway process to obtain the characteristic values ​​of each parameter and parameter change rate; Analyzing a first correlation between a change amount and a change rate of each parameter in a cycle stage, and setting a corresponding characteristic value as a life monitoring threshold according to the first correlation; The second correlation between the change amount and the change rate of each parameter in each stage before thermal runaway occurs is analyzed, and the corresponding characteristic value is set as the safety monitoring threshold according to the second correlation.

10. The energy storage battery safety monitoring system according to claim 9, characterized in that: N≥20。 11. The energy storage battery safety monitoring system according to claim 9, characterized in that: In the step of analyzing the first correlation between the variation and the rate of change of each parameter in the cycle phase, the Apriori algorithm is specifically used to analyze the first correlation between the variation and the rate of change of each parameter in the cycle phase; In the step of analyzing the second correlation between the change amount and the change rate of each parameter in each stage before the occurrence of thermal runaway, the Apriori algorithm is specifically used to analyze the second correlation between the change amount and the change rate of each parameter in each stage before the occurrence of thermal runaway.

12. The energy storage battery safety monitoring system according to claim 7, characterized in that: In the step of collecting parameters of the energy storage battery, the voltage is collected by a voltage sensor, the temperature is collected by a temperature sensor, the pressure is collected by a pressure sensor on the surface of the energy storage battery, the internal resistance is collected by an internal resistance tester, and the deformation is collected by a micrometer or a lithium battery charge and discharge deformation test system.

13. An electronic device, characterized in that: It comprises a processor and a memory, wherein the processor is used to execute a computer program stored in the memory to implement a method for safety monitoring of an energy storage battery as claimed in any one of claims 1 to 6.

14. A computer-readable storage medium, characterized in that The computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by the processor, it implements the energy storage battery safety monitoring method according to any one of claims 1 to 6.

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