Battery system explosion monitoring method and device of energy storage equipment, equipment and medium

Abstract

The invention belongs to the technical field of energy storage, and particularly relates to a battery system explosion monitoring method, device and equipment of energy storage equipment and a medium. According to the method, the total concentration of thermal runaway gas of the battery system is dynamically calculated according to the hydrogen concentration and the state of charge; according to the total concentration of the thermal runaway gas, dynamically updating and calculating the real-time explosion overpressure and the maximum guarantee pressure rising rate of the thermal runaway gas; and determining an explosion monitoring result of the battery system according to the real-time explosion overpressure and the maximum guarantee pressure rising rate. By obtaining the hydrogen concentration in the energy storage prefabricated cabin and the charge state of the battery system in real time, the explosion parameters of the thermal runaway gas can be dynamically updated and calculated, and rapid calculation of the explosion parameters of the battery thermal runaway gas is achieved. And when the parameters exceed the preset safety threshold, the system can immediately generate a gas explosion early warning instruction to remind related personnel to take emergency measures, so that the occurrence of explosion accidents of the battery system is effectively avoided.

Description

Technical Field

[0001] The present invention belongs to the field of energy storage technology, and in particular relates to a method, device, equipment and medium for monitoring explosion of a battery system of an energy storage device. Background Art

[0002] Lithium-ion battery energy storage systems have prominent safety issues, which have become a key issue restricting their large-scale development. The thermal runaway gases of lithium-ion batteries mainly include CO, CO 2 , H 2 , CH 4 After these gases meet the three elements of combustion, they will explode. At present, the research on the explosion parameters of battery thermal runaway gas is mainly carried out by passing the mixed gas into a 10L, 20L or other capacity constant volume bomb and igniting it to obtain the explosion pressure parameters such as explosion limit, maximum explosion overpressure and maximum pressure rise rate. The explosion parameters of thermal runaway gas at the energy storage cabin level can only be obtained through CFD simulation. However, due to the size of the prefabricated cabin model and the calculation conditions, the simulation takes one or several weeks, and the data acquisition efficiency is low.

[0003] In summary, the explosion parameters of battery thermal runaway gas are currently obtained mainly through experiments and CFD simulations. There is a lack of a fast and convenient method to calculate the explosion hazards of thermal runaway gas to guide explosion prevention and control and safety emergency response of energy storage systems. Summary of the invention

[0004] The purpose of the present invention is to provide a method, device, equipment and medium for monitoring the explosion of a battery system of an energy storage device, so as to solve the problem in the prior art that the calculation method of battery thermal runaway gas explosion parameters is not fast and convenient enough.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for monitoring explosion of a battery system of an energy storage device, comprising the following steps: Obtain the hydrogen concentration in the energy storage prefabricated cabin and the charge state of the battery system in the energy storage prefabricated cabin in real time; Dynamically calculating the total concentration of thermal runaway gas in the battery system according to the hydrogen concentration and the state of charge; Dynamically update and calculate the real-time explosion overpressure and maximum guaranteed pressure rise rate of the thermal runaway gas according to the total concentration of the thermal runaway gas; The battery system explosion monitoring result is determined according to the real-time explosion overpressure and the maximum guaranteed pressure rising rate.

[0006] Further, the total concentration of thermal runaway gas of the battery system is predicted based on the hydrogen concentration and the state of charge, including:

[0007] Where X is the total concentration of thermal runaway gas; C H2 is the hydrogen concentration; SOC is the state of charge of the battery system; a 1 ~ a 5 is the calculation coefficient, a 1 The value range is 0.5~1.5, a 2 The value range is 2~10, a 3 The value range is 0~3, a 4 The value range is 0~0.1, a 5 The value range is -10~10.

[0008] Further, in the step of calculating the explosion overpressure and the maximum guaranteed pressure rise rate of the thermal runaway gas according to the total concentration of the thermal runaway gas: The explosion overpressure is calculated as follows:

[0009] Where Y is the explosion overpressure of the thermal runaway gas; b 1 ~ b 3 is the calculation coefficient, b 1 The value ranges from -20 to 0, b 2 The value ranges from 0.5 to 2.5, b 3 The value ranges from 0 to 0.1; X is the total concentration of thermal runaway gas; The maximum guaranteed pressure rise rate is calculated as follows:

[0010]

[0011] Where Z is the maximum guaranteed pressure rise rate of thermal runaway gas; d 1 ~ d8 is the calculation coefficient, d 1 The value ranges from -50 to 0; d 2 The value ranges from 1000 to 2000, d 3 The value is 1~2, d 4 The value ranges from 10 to 20, d 5 The value ranges from 1 to 3, d 6 The value ranges from 10 to 25, d 7 The value is 2-6, d 8 The value range is 1~3.

[0012] Further, determining the battery system explosion monitoring result according to the explosion overpressure and the maximum guaranteed pressure rise rate includes: Compare the explosion overpressure and the maximum guaranteed pressure rise rate calculated in real time with a preset explosion overpressure safety threshold and a preset maximum guaranteed pressure rise rate safety threshold, respectively; When either the explosion overpressure or the maximum guaranteed pressure rising rate exceeds the corresponding safety threshold, a gas explosion warning instruction is generated.

[0013] Furthermore, the hydrogen concentration in the energy storage prefabricated cabin and the charge state of the battery system in the energy storage prefabricated cabin are obtained in real time, including: The hydrogen concentration data is obtained in real time through the hydrogen sensor installed in the prefabricated energy storage cabin; the charge state data of the battery system is obtained in real time through the battery management system.

[0014] In a second aspect, the present invention provides a battery system explosion monitoring device for an energy storage device, comprising: A data acquisition module is used to obtain the hydrogen concentration in the energy storage prefabricated cabin and the charge state of the battery system in the energy storage prefabricated cabin in real time; A first calculation module, used for dynamically calculating the total concentration of thermal runaway gas of the battery system according to the hydrogen concentration and the state of charge; A second calculation module is used to dynamically update and calculate the real-time explosion overpressure and maximum guaranteed pressure rise rate of the thermal runaway gas according to the total concentration of the thermal runaway gas; The early warning module is used to determine the battery system explosion monitoring result according to the real-time explosion overpressure and the maximum guaranteed pressure rise rate.

[0015] Furthermore, the first computing module is specifically used for:

[0016] Where X is the total concentration of thermal runaway gas; C H2 is the hydrogen concentration; SOC is the state of charge of the battery system; a 1 ~ a 5 is the calculation coefficient, a 1 The value range is 0.5~1.5, a 2 The value range is 2~10, a 3 The value range is 0~3, a 4 The value range is 0~0.1, a 5 The value range is -10~10.

[0017] Furthermore, in the second calculation module: The explosion overpressure is calculated as follows:

[0018] Where Y is the explosion overpressure of the thermal runaway gas; b 1 ~ b 3 is the calculation coefficient, b 1 The value ranges from -20 to 0, b 2 The value ranges from 0.5 to 2.5, b3 The value ranges from 0 to 0.1; X is the total concentration of thermal runaway gas; The maximum guaranteed pressure rise rate is calculated as follows:

[0019]

[0020] Where Z is the maximum guaranteed pressure rise rate of thermal runaway gas; d 1 ~ d8 is the calculation coefficient, d 1 The value ranges from -50 to 0; d 2 The value ranges from 1000 to 2000, d 3 The value is 1~2, d 4 The value ranges from 10 to 20, d 5 The value ranges from 1 to 3, d 6 The value ranges from 10 to 25, d 7 The value is 2-6, d 8 The value range is 1~3.

[0021] According to a third aspect of the present invention, an electronic device is provided, comprising a processor and a memory, wherein the processor is configured to execute a computer program stored in the memory to implement the battery system explosion monitoring method of the energy storage device as described above.

[0022] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, the battery system explosion monitoring method of the energy storage device as described above is implemented.

[0023] Compared with the prior art, the beneficial effects of the present invention are as follows: The battery system explosion monitoring method provided by the present invention dynamically calculates the total concentration of thermal runaway gas in the battery system based on the hydrogen concentration and the state of charge; dynamically updates and calculates the real-time explosion overpressure and the maximum guaranteed pressure rise rate of the thermal runaway gas based on the total concentration of the thermal runaway gas; and determines the battery system explosion monitoring result based on the real-time explosion overpressure and the maximum guaranteed pressure rise rate. By acquiring the hydrogen concentration in the energy storage prefabricated cabin and the state of charge of the battery system in real time, the explosion parameters of the thermal runaway gas can be dynamically updated and calculated, thereby realizing the rapid calculation of the explosion parameters of the battery thermal runaway gas. When the parameters exceed the preset safety threshold, the system will immediately generate a gas explosion warning instruction to remind relevant personnel to take emergency measures, thereby effectively avoiding the occurrence of battery system explosion accidents. The battery system explosion monitoring device, electronic device and computer-readable storage medium of an energy storage device provided by the present invention also solve the problems raised in the background technology section.

[0024] The present invention is not only applicable to the battery system of the energy storage prefabricated cabin, but can also be extended to other types of battery systems, such as the power battery system of electric vehicles, the battery system of fixed energy storage power stations, etc. In addition, the technical solution of the present invention can also provide strong data support for the design and optimization of the battery system.

[0025] The technical solution of the present invention is relatively simple and clear, and can be easily integrated and implemented in an existing battery management system. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 This is a flow chart of a method for monitoring explosion of a battery system of an energy storage device according to an embodiment of the present invention; Figure 2 This is a structural block diagram of a battery system explosion monitoring device for an energy storage device according to an embodiment of the present invention; Figure 3 The present invention is a structural block diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] 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 the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0028] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, 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 application belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit exemplary embodiments according to the present invention.

[0029] State of Charge (SOC) is an important parameter used to reflect the remaining capacity of the battery.

[0030] Battery Management System (BMS) is a system specifically designed to monitor, control and manage battery packs.

[0031] Example 1 An embodiment of the present invention provides a method for monitoring the explosion of a battery system of an energy storage device, which detects the concentration of hydrogen in the thermal runaway gas and predicts the total concentration of all gases in the thermal runaway of the battery in combination with the battery SOC. The explosion overpressure and the maximum guaranteed pressure rise rate of the battery thermal runaway gas in a 20L constant volume bomb are calculated based on the total concentration of the gas. This method is convenient and fast, and can calculate the explosion overpressure and the maximum guaranteed pressure rise rate of the thermal runaway gas after detecting the concentration of the battery thermal runaway gas, thereby guiding the explosion prevention and control and safety emergency response of the energy storage battery system. The application of this method in energy storage prefabricated cabins has broad practical significance. As an important part of modern energy storage systems, the safety of the internal battery system of energy storage prefabricated cabins is directly related to the stable operation of the entire system and the safety of personnel. This method can timely detect safety hazards in the battery system by real-time monitoring of the concentration of battery thermal runaway gases. When a battery thermal runaway occurs, a large amount of flammable gases, such as hydrogen, will be rapidly generated. Through high-precision hydrogen sensors, the concentration changes of these gases can be monitored in real time, thereby providing accurate data support for subsequent calculations and early warnings.

[0032] In addition, the method can also calculate the explosion overpressure and maximum guaranteed pressure rise rate that may be generated when an internal gas explosion occurs. These data are crucial for assessing the potential power of an explosion and formulating effective prevention and control measures. By comparing these data with the preset safety thresholds, potential explosion risks can be discovered and warned in a timely manner, so that necessary emergency response measures can be taken, such as activating explosion-proof and venting devices, evacuating personnel, and cutting off power supply, etc., to minimize the loss of personnel and property caused by the explosion.

[0033] like Figure 1 As shown, a method for monitoring explosion of a battery system of an energy storage device comprises the following steps: S1. Obtain the hydrogen concentration in the energy storage prefabricated cabin and the charge state of the battery system in the energy storage prefabricated cabin in real time.

[0034] Specifically, the hydrogen concentration in the prefabricated energy storage cabin and the charge state of the battery system in the prefabricated energy storage cabin are obtained in real time, including: obtaining the hydrogen concentration data in real time through a hydrogen sensor installed in the prefabricated energy storage cabin; and obtaining the charge state data of the battery system in real time through a battery management system.

[0035] As an example, a high-precision hydrogen sensor is installed inside the energy storage prefabricated cabin to monitor the hydrogen concentration in the cabin in real time. Hydrogen is one of the main flammable gases produced when the battery is in thermal runaway. Real-time monitoring of its concentration can reflect the current thermal runaway state or potential risk of the battery system. The hydrogen sensor transmits the real-time detected hydrogen concentration data to the data processing unit of the monitoring system via wired or wireless means for calculation in subsequent steps. The hydrogen concentration data is expressed in percentage (%), indicating the proportion of hydrogen in the cabin to the total volume of air.

[0036] As an example, the battery system of this solution can be equipped with a battery management system (BMS), which is the core control unit of the battery system and is responsible for monitoring key parameters such as battery voltage, current, temperature, etc., and calculating the battery's state of charge (SOC). The state of charge SOC reflects the proportion of the battery's current remaining power to its total capacity. In this solution, the battery's SOC data is obtained in real time through the data interface between the BMS and the monitoring system. The SOC data is in percentage (%), indicating the proportion of the battery's current remaining power to its total capacity.

[0037] Step S1 uses hydrogen sensors and BMS to monitor the hydrogen concentration and battery SOC in the energy storage prefabricated cabin in real time, providing basic data for subsequent explosion risk assessment. The acquisition of real-time data enables the monitoring system to respond quickly to any abnormal changes in the battery system, making it possible to take timely prevention and control measures.

[0038] S2. Dynamically calculating the total concentration of thermal runaway gas in the battery system according to the hydrogen concentration and the state of charge.

[0039] Specifically, predicting the total concentration of thermal runaway gas of the battery system according to the hydrogen concentration and the state of charge includes: (1) Where X is the total concentration of thermal runaway gas in the battery system, in units of %; C H2 is the hydrogen concentration detected by the hydrogen sensor, in %; SOC is the state of charge of the battery system, in %; a 1 ~ a 5 is the calculation coefficient, a 1 The value range is 0.5~1.5, a 2 The value range is 2~10, a 3 The value range is 0~3, a 4 The value range is 0~0.1, a 5 The value range is -10~10.

[0040] S3. Dynamically update and calculate the real-time explosion overpressure and maximum guaranteed pressure rise rate of the thermal runaway gas according to the total concentration of the thermal runaway gas.

[0041] Specifically, in the step of calculating the explosion overpressure and the maximum guaranteed pressure rise rate of the thermal runaway gas according to the total concentration of the thermal runaway gas: The explosion overpressure is calculated as follows: (2) Where Y is the explosion overpressure of the thermal runaway gas; b 1 ~ b 3 is the calculation coefficient, b 1 The value ranges from -20 to 0, b 2 The value ranges from 0.5 to 2.5, b 3 The value ranges from 0 to 0.1; X is the total concentration of thermal runaway gas in the battery system, in units of %; The maximum guaranteed pressure rise rate is calculated as follows: (3) (4) Where Z is the maximum guaranteed pressure rise rate of thermal runaway gas, in bar / s; d 1 ~d 8 is the calculation coefficient, d 1 The value ranges from -50 to 0; d 2 The value ranges from 1000 to 2000, d 3 The value is 1~2, d 4 The value ranges from 10 to 20, d 5 The value ranges from 1 to 3, d 6 The value ranges from 10 to 25, d 7 The value is 2-6, d 8 The value range is 1~3.

[0042] S4. Determine the battery system explosion monitoring result according to the real-time explosion overpressure and the maximum guaranteed pressure rising rate.

[0043] Specifically, according to the explosion overpressure and the maximum guaranteed pressure rising rate, determining the battery system explosion monitoring result includes: comparing the explosion overpressure and the maximum guaranteed pressure rising rate calculated in real time with the preset explosion overpressure safety threshold value, respectively. Y threshold and maximum guaranteed pressure rise rate safety threshold Z When either the explosion overpressure or the maximum guaranteed pressure rising rate exceeds the corresponding safety threshold, a gas explosion warning instruction is generated.

[0044] As an example, in step S4, first, the real-time calculated explosion overpressure (Y) and the maximum guaranteed pressure rise rate (Z) are compared with the preset safety threshold; the safety threshold is set according to the design of the energy storage prefabricated cabin, the characteristics of the battery system, and the relevant safety standards, and is intended to ensure that necessary preventive measures are taken before the explosion risk exceeds the acceptable range. If any of the real-time calculated explosion overpressure or the maximum guaranteed pressure rise rate exceeds its corresponding safety threshold, the monitoring system will immediately generate a gas explosion warning instruction; the gas explosion warning instruction contains specific information about the explosion risk (such as overpressure value, pressure rise rate, possible degree of harm, etc.), and can trigger a series of emergency response measures, such as starting the explosion-proof and venting device, evacuating personnel, cutting off the power supply, etc.

[0045] Explosion overpressure safety threshold: This value sets the level of explosion overpressure that is considered to pose an unacceptable risk to the energy storage prefabricated cabin and its surrounding environment.

[0046] Maximum guaranteed pressure rise rate safety threshold: This value sets the speed at which the pressure rise rate is considered to be an explosion that is about to occur or is already in an uncontrollable state.

[0047] It should be noted that in the above-mentioned battery system explosion monitoring method for energy storage equipment, the explosion overpressure safety threshold ( Y threshold) and the maximum guaranteed pressure rise rate safety threshold ( Z The formulation of the threshold is based on the design of the energy storage prefabricated cabin, the characteristics of the battery system, and relevant safety standards. It is necessary to consider a variety of factors, such as: The physical properties of the prefabricated energy storage cabin: such as the cabin material, structural strength, and sealing, etc. These factors will affect the pressure propagation and release capacity of the gas in the cabin during an explosion.

[0048] The chemical characteristics of the battery system: such as the type and capacity of the battery, the type and amount of gas produced during thermal runaway, etc. These factors determine the potential power of the explosion and the rate of pressure rise.

[0049] Safety standards and specifications: such as relevant industry standards, national standards or international standards, which specify the acceptable risk levels and corresponding safety thresholds in different scenarios.

[0050] Risk assessment results: By conducting a risk assessment of the energy storage prefabricated cabin and battery system, the probability and possible consequences of explosion under different conditions can be estimated, so as to formulate a reasonable safety threshold.

[0051] As an example, the explosion overpressure safety threshold ( YThe pressure threshold is set to be lower than the maximum pressure that the cabin structure can withstand, to ensure that the cabin will not rupture or be severely deformed when an explosion occurs. At the same time, the safety of personnel and equipment in the cabin is also considered to ensure that the explosion overpressure will not cause unacceptable injuries or damage.

[0052] For example: Y threshold = maximum pressure that the structure can withstand × safety factor − allowable pressure margin Among them, the safety factor and allowable pressure margin are determined based on specific circumstances and experience.

[0053] Maximum guaranteed pressure rise rate safety threshold ( Z The pressure threshold is set to a rate of pressure rise lower than that which can trigger effective explosion prevention and venting measures. At the same time, the evacuation time of personnel and the response time of equipment are also considered to ensure that necessary measures can be taken before the pressure rises to a dangerous level.

[0054] For example: Z threshold = effective explosion-proof and venting measures triggering rate − response time margin × pressure rise rate prediction value Among them, the triggering rate of effective explosion-proof and explosion-proofing measures is determined according to the performance and characteristics of the explosion-proof and explosion-proofing devices, and the response time margin is determined according to factors such as the evacuation speed of personnel and the response time of equipment.

[0055] Optionally, the generation of the warning instruction is mainly to alert the operator to potential dangers and to trigger a series of preset emergency response procedures; the emergency response procedures include the activation of automatic or manually controlled explosion-proof and venting devices, the activation of fire protection systems, and the emergency evacuation of personnel. Through these measures, the loss of personnel and property caused by the explosion of the battery system can be minimized.

[0056] Optionally, while generating the warning instruction, the monitoring system also records relevant monitoring data and warning information, which has important reference value for subsequent accident analysis, system optimization and formulation of safety standards.

[0057] The battery system explosion monitoring method provided by the above scheme can quickly calculate the maximum explosion overpressure and the maximum guaranteed pressure rise rate of the battery thermal runaway gas through battery thermal runaway gas detection, and guide the explosion prevention and control and emergency disposal of the energy storage system. Applied to the energy storage prefabricated cabin, when the battery thermal runaway occurs, the concentration of the battery thermal runaway gas in the energy storage prefabricated cabin can be detected in real time to calculate the explosion overpressure and the maximum guaranteed pressure rise rate that may be generated when the internal gas explosion occurs. When the explosion overpressure and the maximum guaranteed pressure rise rate exceed the hazard value to the human body, explosion-proof and explosion-relief measures are used to avoid harm to personnel.

[0058] Example 2 like Figure 2 As shown, based on the same inventive concept as the above embodiment, the present invention also provides a battery system explosion monitoring device for energy storage equipment, comprising: A data acquisition module is used to obtain the hydrogen concentration in the energy storage prefabricated cabin and the charge state of the battery system in the energy storage prefabricated cabin in real time; A first calculation module, used for dynamically calculating the total concentration of thermal runaway gas of the battery system according to the hydrogen concentration and the state of charge; A second calculation module is used to dynamically update and calculate the real-time explosion overpressure and maximum guaranteed pressure rise rate of the thermal runaway gas according to the total concentration of the thermal runaway gas; The early warning module is used to determine the battery system explosion monitoring result according to the real-time explosion overpressure and the maximum guaranteed pressure rise rate.

[0059] The first computing module is specifically used for:

[0060] Where X is the total concentration of thermal runaway gas; C H2 is the hydrogen concentration; SOC is the state of charge of the battery system; a 1 ~ a 5 is the calculation coefficient, a 1 The value range is 0.5~1.5, a 2 The value range is 2~10, a 3 The value range is 0~3, a 4 The value range is 0~0.1, a 5 The value range is -10~10.

[0061] In the second calculation module: The explosion overpressure is calculated as follows:

[0062] Where Y is the explosion overpressure of the thermal runaway gas; b 1 ~ b 3 is the calculation coefficient, b 1 The value ranges from -20 to 0, b 2 The value ranges from 0.5 to 2.5, b 3 The value ranges from 0 to 0.1; X is the total concentration of thermal runaway gas in the battery system, in units of %; The maximum guaranteed pressure rise rate is calculated as follows:

[0063]

[0064] Where Z is the maximum guaranteed pressure rise rate of thermal runaway gas; d 1 ~ d8 is the calculation coefficient, d 1 The value ranges from -50 to 0; d 2 The value ranges from 1000 to 2000, d 3 The value is 1~2, d 4 The value ranges from 10 to 20, d 5 The value ranges from 1 to 3, d 6 The value ranges from 10 to 25, d 7 The value is 2-6, d 8 The value range is 1~3.

[0065] Example 3 like Figure 3 As shown, the present invention also provides an electronic device 100 for implementing a method for monitoring explosion of a battery system of an energy storage device; 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 .

[0066] The memory 101 can be used to store a computer program 103 . The processor 102 implements the steps of a method for monitoring explosion of a battery system of an energy storage device in Example 1 by running or executing the computer program stored in the memory 101 and calling data stored in the memory 101 .

[0067] The memory 101 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data (such as audio data) created according to the use of the electronic device 100, etc. In addition, the memory 101 may include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other non-volatile solid-state storage devices.

[0068] 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 uses various interfaces and lines to connect various parts of the entire electronic device 100.

[0069] The memory 101 in the electronic device 100 stores a plurality of instructions to implement a method for monitoring explosion of a battery system of an energy storage device, and the processor 102 can execute the plurality of instructions to implement: Obtain the hydrogen concentration in the energy storage prefabricated cabin and the charge state of the battery system in the energy storage prefabricated cabin in real time; Dynamically calculating the total concentration of thermal runaway gas in the battery system according to the hydrogen concentration and the state of charge; Dynamically update and calculate the real-time explosion overpressure and maximum guaranteed pressure rise rate of the thermal runaway gas according to the total concentration of the thermal runaway gas; The battery system explosion monitoring result is determined according to the real-time explosion overpressure and the maximum guaranteed pressure rising rate.

[0070] Example 4 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 processes 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. Computer-readable media may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory and read-only memory (ROM, Read-Only Memory).

[0071] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. 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 disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0072] 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 flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, 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 flowchart and / or block diagram. 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.

[0073] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0074] 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 instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0075] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant 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 within the scope of protection of the claims of the present invention.

Claims

1. A method for monitoring explosion of a battery system of an energy storage device, characterized in that: The steps include: Obtain the hydrogen concentration in the energy storage prefabricated cabin and the charge state of the battery system in the energy storage prefabricated cabin in real time; Dynamically calculating the total concentration of thermal runaway gas in the battery system according to the hydrogen concentration and the state of charge; Dynamically update and calculate the real-time explosion overpressure and maximum guaranteed pressure rise rate of the thermal runaway gas according to the total concentration of the thermal runaway gas; The battery system explosion monitoring result is determined according to the real-time explosion overpressure and the maximum guaranteed pressure rising rate.

2. The method for monitoring explosion of a battery system of an energy storage device according to claim 1, characterized in that: The total concentration of thermal runaway gas of the battery system is predicted according to the hydrogen concentration and the state of charge, including: Where X is the total concentration of thermal runaway gas; C H2 is the hydrogen concentration; SOC is the state of charge of the battery system; a1~ a5 are calculation coefficients, a1 is 0.5~1.5, a2 is 2~10, a3 is 0~3, a4 is 0~0.1, and a5 is -10~10.

3. The method for monitoring explosion of a battery system of an energy storage device according to claim 1, characterized in that: In the step of calculating the explosion overpressure and the maximum guaranteed pressure rise rate of the thermal runaway gas according to the total concentration of the thermal runaway gas: The explosion overpressure is calculated as follows: Wherein, Y is the explosion overpressure of the thermal runaway gas, X is the total concentration of the thermal runaway gas; b1~ b3 are calculation coefficients, b1 is -20~0, b2 is 0.5~2.5, and b3 is 0~0.1; The maximum guaranteed pressure rise rate is calculated as follows: Among them, Z is the maximum guaranteed pressure rise rate of thermal runaway gas; d1~ d8 are calculation coefficients, d1 is -50~0; d2 is 1000~2000, d3 is 1~2, d4 is 10~20, d5 is 1~3, d6 is 10~25, d7 is 2-6, and d8 is 1~3.

4. The method for monitoring explosion of a battery system of an energy storage device according to claim 1, characterized in that: Determining a battery system explosion monitoring result according to the explosion overpressure and the maximum guaranteed pressure rising rate includes: Compare the explosion overpressure and the maximum guaranteed pressure rise rate calculated in real time with a preset explosion overpressure safety threshold and a preset maximum guaranteed pressure rise rate safety threshold, respectively; When either the explosion overpressure or the maximum guaranteed pressure rising rate exceeds the corresponding safety threshold, a gas explosion warning instruction is generated.

5. The method for monitoring explosion of a battery system of an energy storage device according to claim 1, characterized in that: Real-time acquisition of hydrogen concentration in the energy storage prefabricated cabin and the state of charge of the battery system in the energy storage prefabricated cabin, including: The hydrogen concentration data is obtained in real time through the hydrogen sensor installed in the prefabricated energy storage cabin; the charge state data of the battery system is obtained in real time through the battery management system.

6. A battery system explosion monitoring device for energy storage equipment, characterized in that: include: A data acquisition module is used to obtain the hydrogen concentration in the energy storage prefabricated cabin and the charge state of the battery system in the energy storage prefabricated cabin in real time; A first calculation module, used for dynamically calculating the total concentration of thermal runaway gas of the battery system according to the hydrogen concentration and the state of charge; A second calculation module is used to dynamically update and calculate the real-time explosion overpressure and maximum guaranteed pressure rise rate of the thermal runaway gas according to the total concentration of the thermal runaway gas; The early warning module is used to determine the battery system explosion monitoring result according to the real-time explosion overpressure and the maximum guaranteed pressure rise rate.

7. The battery system explosion monitoring device for energy storage equipment according to claim 6, characterized in that: The first computing module is specifically used for: Where X is the total concentration of thermal runaway gas; C H2 is the hydrogen concentration; SOC is the state of charge of the battery system; a1~ a5 are calculation coefficients, a1 is 0.5~1.5, a2 is 2~10, a3 is 0~3, a4 is 0~0.1, and a5 is -10~10.

8. The battery system explosion monitoring device for energy storage equipment according to claim 6, wherein in the second calculation module: The explosion overpressure is calculated as follows: in, Y is the explosion overpressure of the thermal runaway gas; b1~ b3 are calculation coefficients, b1 is -20~0, b2 is 0.5~2.5, and b3 is 0~0.1; X is the total concentration of the thermal runaway gas; The maximum guaranteed pressure rise rate is calculated as follows: Among them, Z is the maximum guaranteed pressure rise rate of thermal runaway gas; d1~ d8 are calculation coefficients, d1 is -50~0; d2 is 1000~2000, d3 is 1~2, d4 is 10~20, d5 is 1~3, d6 is 10~25, d7 is 2-6, and d8 is 1~3.

9. 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 the battery system explosion monitoring method of the energy storage device according to any one of claims 1 to 5.

10. 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 a processor, the battery system explosion monitoring method of the energy storage device according to any one of claims 1 to 5 is implemented.

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