A battery energy storage cabinet automatic fire extinguishing control system

Abstract

The present invention belongs to the technical field of battery energy storage cabinet early warning, and provides an automatic fire extinguishing control system for a battery energy storage cabinet. The technical scheme is as follows: considering the ignition differences of different types of lithium batteries and the differences in the distribution positions of lithium batteries, optimizing the ignition criterion, combining the acquired temperature value, smoke concentration value and the trained fire early warning model to identify whether a fire occurs, and if a fire occurs, triggering an early warning module to send out an early warning message and start a fire extinguishing device; at the same time, when the protective device is extinguishing the fire, the layout of the thermal sensitive line is optimized to improve the fire extinguishing efficiency.

Description

Technical Field

[0001] The invention belongs to the technical field of battery energy storage cabinet early warning, and in particular relates to an automatic fire extinguishing control system for a battery energy storage cabinet. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] A battery energy storage cabinet is a device used to store electrical energy. It uses high-efficiency energy storage technologies such as lithium-ion batteries to convert electrical energy into chemical energy and store it. Such equipment is usually composed of multiple batteries and is managed and monitored by a control system.

[0004] The energy storage cabinet stores a large number of lithium iron phosphate or ternary lithium batteries. When thermal runaway occurs, the battery cells release explosive gases and accumulate inside the container, eventually igniting and causing an explosion.

[0005] The inventors have found that a fire in a battery energy storage cabinet is usually not caused by all the single cells catching fire at the same time, but rather a fire in one or a certain type of battery will trigger a fire in other batteries in the cycle. Therefore, how to detect the burning battery cells in time is the key to extinguishing the fire.

[0006] The traditional battery energy storage cabinet fire extinguishing device considers the fire of the entire energy storage cabinet as a whole, so it detects all the fire parameters of the entire energy storage cabinet. After comparing each fire parameter, such as the failure factor, with the respective threshold, once the parameter exceeds the set threshold, the fire extinguishing action is initiated. However, when all thresholds are reached, it is not necessarily the starting point of the fire, and the burning battery cell cannot be detected in time.

[0007] At the same time, due to the differences in the distribution positions of lithium batteries in the energy storage cabinet, such as the differences in the number of lithium batteries and the distance between lithium batteries, there are differences in the temperature obtained in the corner position and the middle position, resulting in differences in the characteristics of battery energy storage cabinets under different layouts when they catch fire. The existing protective devices do not take this feature into consideration; in addition, the current protective devices do not take into account the layout of thermistor lines when extinguishing the fire, and the fire extinguishing efficiency is low. Summary of the invention

[0008] In order to solve at least one technical problem existing in the above-mentioned background technology, the present invention provides an automatic fire extinguishing control system for a battery energy storage cabinet, which takes into account the ignition differences of different types of lithium batteries and the differences in the distribution positions of lithium batteries, optimizes the ignition criteria, and at the same time, when extinguishing a fire, the protective device optimizes the layout of the thermal wires to improve the fire extinguishing efficiency.

[0009] In order to achieve the above object, the present invention adopts the following technical solution:

[0010] An automatic fire extinguishing control system for a battery energy storage cabinet, comprising a fire-fighting host and a fire-fighting device connected to the fire-fighting host;

[0011] The fire host is configured to execute: when a fire occurs in the battery energy storage cabinet, issue a fire extinguishing instruction and control the fire extinguishing device to extinguish the fire; wherein the analysis process of the fire occurring in the battery energy storage cabinet includes:

[0012] Build heat release rate models for various battery cells based on smoke concentration values;

[0013] Combined with the relationship between the layout of the batteries in the battery energy storage cabinet to be monitored and the heat release rates of various battery cells, the heat release rates of various batteries under different layouts are fitted;

[0014] The smoke concentration corresponding to the heat release rate of various types of batteries under different layouts during fire is used as samples to train the classifier;

[0015] Based on the output results of the trained classifier and the smoke density data of each type of battery under different layouts during fire, the thresholds corresponding to the smoke density of each type of battery under different layouts during fire are obtained, and the thresholds are sorted, and the minimum threshold is used as the judgment threshold;

[0016] When the smoke concentration value is greater than the judgment threshold, it is determined that a fire has occurred in the battery energy storage cabinet.

[0017] Furthermore, with respect to the smoke concentration threshold, the smoke concentration thresholds of various types of batteries under different layouts are different. Each type of smoke concentration threshold is sorted. After sorting, the smoke concentration thresholds of various types of batteries under the same layout are first compared, and then the smoke concentration thresholds of the same type of batteries under different layouts are compared. All thresholds are compared, and the minimum threshold is taken as the smoke concentration judgment threshold.

[0018] Furthermore, the output result of the trained classifier and the smoke concentration data of various types of batteries under different layouts during fire are analyzed and compared, including:

[0019] Based on the heat release rate of different types of batteries under different layouts and the output of the classifier corresponding to the smoke concentration, a mapping relationship between the heat release rate and the smoke concentration corresponding to the fire output result is established. According to the mapping relationship, the threshold value corresponding to the smoke concentration of each type of battery under different layouts during fire is obtained.

[0020] Furthermore, the heat release rates of batteries under different layouts are obtained by fitting the relationship between the layout of the batteries in the battery energy storage cabinet to be monitored and the heat release rate of a single battery, including:

[0021] The quantitative relationship between the heat release rate of the lithium battery module and the number of batteries is taken as the first quantitative relationship;

[0022] The quantitative relationship between the ignition time of the unit battery of the lithium battery module and the spacing between the unit batteries of the modules is used as the second quantitative relationship;

[0023] Based on the heat release rate model, the first quantitative relationship and the second quantitative relationship are coupled to obtain the heat release rates of the batteries under different layouts.

[0024] Furthermore, the system includes a smoke sensor, the fire host is arranged outside the protection area, the smoke sensor is located inside the protection area, and the smoke sensor is connected to the controller in the fire host via wired or wireless connection.

[0025] Furthermore, the fire extinguishing device includes a shell having a combustion chamber protruding from the shell, the combustion chamber cavity being used to accommodate one or more aerosol fire extinguishing cores, one end face of the cavity being open, and a nozzle being provided on the end face on the same side of the shell side wall as the opening.

[0026] Furthermore, the fire extinguishing core adopts potassium ion fire extinguishing agent.

[0027] Furthermore, the fire extinguishing device also includes a thermistor and a temperature sensor. A blind hole is set on the end face of the fire extinguishing agent, and the thermistor is embedded in the blind hole. When burning, it is led out through the jet hole of the fire extinguishing device, and the extended part is used as an external temperature sensing and starting temperature sensor.

[0028] Furthermore, the fire host is also configured to: perform optimal layout of the thermal line, specifically including:

[0029] According to the different battery arrangement modes and battery spacing distances of the thermal wires, a variety of thermal wire layout schemes are obtained;

[0030] For each layout scheme, the aerosol diffusion process is simulated and the smoke concentration threshold is set. When the smoke concentration value reaches the set smoke concentration threshold, it is determined that the aerosol evenly fills the entire space.

[0031] The layout plan that takes the shortest time for the aerosol to evenly fill the entire space is taken as the optimal thermal line layout plan.

[0032] Furthermore, the system also includes an early warning device, which is connected to a fire host, and the fire host is configured to send out an alarm signal when the smoke concentration value is greater than a judgment threshold.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. The present invention takes into account the differences in the position layout of batteries in the battery energy storage cabinet to be protected, establishes a corresponding lithium battery thermal field simulation model, and obtains the heat release rate and smoke concentration data of batteries under different layouts according to the mapping relationship between the fire and no-fire output results, thereby improving the accuracy of early warning and fire extinguishing.

[0035] 2. When extinguishing a fire, the protective device of the present invention optimizes the layout of the thermal wires and obtains a variety of thermal wire layout schemes according to the thermal wires in different battery arrangements and battery spacing distances; for each layout scheme, the aerosol diffusion process is simulated and a smoke concentration threshold is set. When the smoke concentration value reaches the set smoke concentration threshold, it is determined that the aerosol uniformly fills the entire space; the layout scheme with the shortest time for the aerosol to uniformly fill the entire space is used as the optimal thermal wire layout scheme, thereby improving the fire extinguishing efficiency.

[0036] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings in the specification, which constitute a part of the present invention, 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 improper limitations on the present invention.

[0038] Figure 1 A framework diagram of an automatic fire extinguishing control system for a battery energy storage cabinet in one or more embodiments of the present invention;

[0039] Figure 2 A schematic diagram of an automatic early warning fire extinguishing control strategy for a battery energy storage cabinet in one or more embodiments of the present invention;

[0040] Figure 3 A schematic diagram of the overall structure of a fire extinguishing device according to one or more embodiments of the present invention;

[0041] Figure 4 A schematic diagram of the internal three-dimensional structure of a fire extinguishing device in one or more embodiments of the present invention;

[0042] Among them, 1. Fire host, 2. Early warning device, 3. Automatic fire extinguishing device, 4. Smoke sensor, 5. Temperature sensor, 6. Shell, 7. Combustion chamber, 8. Fire extinguishing core, 9. Nozzle, 10. Thermistor. DETAILED DESCRIPTION

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0045] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0046] Explanation of terms

[0047] Heat release rate: refers to the heat released by combustion per unit time. The setting of this parameter has a great influence on the accuracy of the thermodynamic model.

[0048] Regarding what is mentioned in the background technology: a fire in a battery energy storage cabinet generally does not occur in all the single cells at the same time, but rather a fire in one or a certain type of battery triggers a fire in batteries at other locations in the cycle, and there are differences in the distribution locations of lithium batteries.

[0049] In order to timely detect battery cells that have caught fire, the present invention first constructs heat release rates of different types of battery cells, and then obtains the heat release rates of the single cells when they catch fire under different layout conditions in combination with the number, spacing and position of the batteries, thereby obtaining smoke concentration values ​​of different types of battery cells when they catch fire corresponding to the heat release rates under different layout conditions, and obtains the smoke concentration value under the layout condition most prone to fire as a threshold value. As long as it is greater than the threshold value, it is determined that the fire has occurred, and the battery cell that has caught fire is detected in time.

[0050] like Figure 1 and Figure 2 As shown, this embodiment provides a battery energy storage cabinet automatic fire extinguishing control system, including a fire host 1, and an automatic fire extinguishing device 3 connected to the fire host 1;

[0051] The fire host 1 is configured to execute:

[0052] When a fire occurs in the battery energy storage cabinet, a fire extinguishing command is issued to control the fire extinguishing device to extinguish the fire; the analysis process of a fire in the battery energy storage cabinet includes:

[0053] Build heat release rate models for various battery cells based on smoke concentration values;

[0054] Combined with the relationship between the layout of the batteries in the battery energy storage cabinet to be monitored and the heat release rates of various battery cells, the heat release rates of various batteries under different layouts are fitted;

[0055] The smoke concentration corresponding to the heat release rate of various types of batteries under different layouts during fire is used as samples to train the classifier;

[0056] Based on the output results of the trained classifier and the smoke density data of various types of batteries under different layouts during fire, the thresholds corresponding to the smoke density of various types of batteries under different layouts during fire are obtained, and the thresholds are sorted, and the minimum threshold is used as the judgment threshold;

[0057] When the smoke concentration value is greater than the judgment threshold, it is determined that a fire has occurred in the battery energy storage cabinet.

[0058] The present invention optimizes the ignition criteria by considering the ignition differences of different types of lithium batteries and the differences in the distribution positions of lithium batteries in the energy storage cabinet. At the same time, when extinguishing a fire, the protective device optimizes the layout of the thermal wires to improve the fire extinguishing efficiency.

[0059] Among them, when constructing the heat release rate model of various battery cells based on the smoke concentration value, it is based on the existing small-scale fire experiment of lithium batteries using cone calorimeter, that is, the battery heat release rate is obtained based on the principle of energy release and oxygen consumption, and the battery is heated by a heating rod to cause thermal runaway and fire. The battery fire heat release rate is measured using a cone calorimeter. In this process, the heat release rate of the lithium battery is calculated based on the oxygen consumption method by analyzing the concentrations of oxygen, carbon monoxide and carbon dioxide;

[0060] The specific oxygen consumption method is an existing method and will not be described in detail in this embodiment.

[0061] It should be noted that the smoke sensors in this embodiment are evenly arranged at various positions of the energy storage cabinet.

[0062] Since the heat released by each type of battery fire is fixed, the time interval for the fire battery to trigger the combustion of the uncontrolled battery is determined by the battery spacing. Establishing a quantitative relationship between the ignition time of the unit battery of the lithium battery module and the unit battery spacing between modules can reflect the impact of the battery position layout relationship on the fire.

[0063] Since the heat released by lithium batteries is related to the completeness of combustion, the heat released has a functional relationship with the number of batteries, so a quantitative relationship between the heat release of lithium battery modules and the number of batteries is established;

[0064] The heat release rates of various types of batteries under different layouts are obtained by fitting the relationship between the layout of the batteries in the battery energy storage cabinet to be monitored and the heat release rate of each type of battery monomer, including:

[0065] The quantitative relationship between the heat release rate of various lithium battery modules and the number of batteries is taken as the first quantitative relationship;

[0066] The quantitative relationship between the ignition time of the unit battery of the lithium battery module and the spacing between the unit batteries of the modules is used as the second quantitative relationship;

[0067] Based on the heat release rate model, the first quantitative relationship and the second quantitative relationship are coupled, and the heat release rates of various types of batteries under different layouts are obtained.

[0068] In this embodiment, different layouts specifically refer to the number of battery cells, the spacing between battery cells, and the position of the batteries. When modeling, relevant parameters of the PyroSim software can be set so that the model can more accurately reflect the changes in smoke concentration and its distribution when a fire occurs in the energy storage cabinet.

[0069] Different types of lithium batteries include: lithium metal batteries, polymer lithium-ion batteries, lithium polymer batteries, lithium sulfur batteries, lithium iron batteries and other types of lithium batteries. In actual applications, lithium batteries can be further subdivided according to shape, size, positive and negative electrode materials, etc.

[0070] This embodiment selects several typical types of lithium metal batteries, polymer lithium ion batteries, and lithium polymer batteries.

[0071] After setting the various parameters of the energy storage cabinet's thermodynamic model, simulation experiments were carried out for the fire situations of different types of battery cells at different locations. When battery packs at different locations burn, the heat distribution in the lithium battery energy storage cabinet is different. The heat is higher near the fire source and lower away from the fire source.

[0072] PyroSim was used to record the data of the smoke concentration sensor in the fire experiment to obtain the smoke concentration values ​​of different types under different conditions. The smoke concentration corresponding to the heat release rate of each type of battery under different layouts during fire was used as a sample to train the classifier.

[0073] In this embodiment, the classifier may be an SVM classifier or other classifiers, without specific limitation.

[0074] When training the classifier, the samples used are the smoke concentrations corresponding to the heat release rates of various types of batteries under different layouts during fires obtained historically;

[0075] The historical sample data is preprocessed, and the smoke concentration corresponding to the heat release rate of various types of batteries under different layouts during fire is used as a positive sample to train the classifier;

[0076] The purpose of this setting is that the heat release rate of each type of battery is different. Therefore, the experiment is set up to calculate the heat release rate of each type of battery when it catches fire, and the smoke concentration value of each type of battery when it catches fire is recorded as a training sample;

[0077] At the same time, the corresponding smoke concentration values ​​are different under different layout conditions. After analysis and comparison, the minimum value of the smoke concentration value when each type of battery is on fire under different layouts is taken as the threshold.

[0078] In this embodiment, the smoke concentration under different layouts is generally close to 0 when there is no fire.

[0079] In this embodiment, the output of the classifier includes two results: fire and no fire;

[0080] Among them, the output results of the trained classifier and the smoke concentration data of various types of batteries under different layouts during fire are analyzed and compared, including:

[0081] Based on the heat release rate of various types of batteries under different layouts and the output of the classifier corresponding to the smoke concentration, a mapping relationship between the heat release rate and the smoke concentration corresponding to the fire output result is established. According to the mapping relationship, the threshold value corresponding to the smoke concentration of various types of batteries under different layouts during fire is obtained.

[0082] The number of lithium batteries corresponding to each layout scenario is different, and the spacing between lithium-ion batteries is different. The thresholds corresponding to the fire and smoke concentration in the corresponding scenarios can be set according to different layout scenarios.

[0083] Thus, a mapping relationship between the fire and no-fire output results and the corresponding heat release rate and smoke concentration of the battery under different layouts is established.

[0084] Furthermore, this embodiment also takes into account the differences in the distribution positions of lithium batteries. For example, there are differences in the temperatures obtained at a corner position and at a middle position. Therefore, when training the classifier, the position distribution difference factor is also introduced. When obtaining training samples, temperature data at different positions when ignited and when not ignited are obtained for training.

[0085] Regarding the smoke concentration threshold, the smoke concentration threshold of each type of battery under different layouts is different. Each type of smoke concentration threshold is sorted. After sorting, the smoke concentration thresholds of various types of batteries under the same layout are first compared, and then the smoke concentration thresholds of the same type of batteries under different layouts are compared. All thresholds are compared and the minimum threshold is taken as the smoke and fog judgment threshold.

[0086] In this embodiment, the fire host is arranged outside the protection zone, the smoke sensor and the temperature sensor are located inside the protection zone, and the smoke sensor and the temperature sensor are connected to the controller via wired or wireless connection.

[0087] The system further comprises an early warning device 2, the early warning module 2 is connected to the fire host 1, and the fire host is configured to send out an alarm signal when the smoke concentration value is greater than a judgment threshold.

[0088] As a specific implementation method of fire extinguishing device, Figure 3 and Figure 4 As shown, the fire extinguishing device includes a shell 6 and an upper cover (the upper cover is not shown), the shell 6 is provided with a combustion chamber 7, the combustion chamber 7 cavity is used to accommodate one or more aerosol fire extinguishing cores 8, one end face of the cavity is open, and a nozzle 9 is provided on the side wall of the shell on the same side as the opening.

[0089] In some embodiments, the fire extinguishing device further comprises a thermistor 10, a blind hole is arranged on the end face of the fire extinguishing agent, the thermistor is embedded in the blind hole, and is led out through the jet hole of the fire extinguishing device during combustion, and the extended part serves as an external temperature sensing start sensor. In this embodiment, the start temperature of the thermistor selected is above 176°C, and the extreme operating temperature inside the battery energy storage cabinet is about 70°C, so there is no need to worry about false start due to exposure to the sun.

[0090] In this embodiment, when laying out the thermal sensitive wires, the environment inside the battery energy storage cabinet is taken into consideration. In order to ensure the effectiveness of fire extinguishing after a fire, this embodiment designs the thermal sensitive wires to be laid out after optimization, specifically including:

[0091] According to the different battery arrangement modes and battery spacing distances of the thermal wires, a variety of thermal wire layout schemes are obtained;

[0092] For each layout scheme, the aerosol diffusion process is simulated and the smoke concentration threshold is set. When the smoke concentration value reaches the set smoke concentration threshold, it is determined that the aerosol evenly fills the entire space.

[0093] The layout plan that takes the shortest time for the aerosol to evenly fill the entire space is taken as the optimal thermal line layout plan.

[0094] In some embodiments, FDS (Fire Dynamics Simulation) software is used for aerosol simulation. FDS is a computational fluid dynamics software that mainly simulates fire fluid movement.

[0095] The fire extinguishing core uses a safe and non-toxic potassium ion fire extinguishing agent, adopts the formula in the application number: "2023116834303", uses food-grade raw materials, and is safe and harmless to the human body.

[0096] In view of the shortcomings of the existing fire extinguishing agent solutions, including heptafluoropropane fire extinguishing system, perfluorohexanone fire extinguishing device, S-type aerosol fire extinguishing device, dry powder fire extinguishing device and carbon dioxide fire extinguishing device, the fire extinguishing agent used in this embodiment has higher energy efficiency, reaching 30g / m 3 A single device can extinguish fire in a space of 1.5 cubic meters, takes up almost no space, and has automatic fire extinguishing capability. No matter where the fire starts, it can trigger the fire extinguishing system to quickly extinguish the fire, and suppress re-ignition for a long time, so that the fire can be extinguished as soon as possible, extinguished early and small, and reduce property losses.

[0097] The potassium ion fire extinguishing agent used in this embodiment has an explosion suppression effect and can suppress explosion and fire caused by secondary thermal runaway.

[0098] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A battery energy storage cabinet automatic fire extinguishing control system, characterized in that: The system comprises a fire control host and a fire extinguishing device connected to the fire control host; the fire control host is configured to execute: when a fire occurs in the battery energy storage cabinet, issue a fire extinguishing command and control the fire extinguishing device to extinguish the fire; wherein, the analysis process of a fire in the battery energy storage cabinet includes: constructing a heat release rate model of each type of battery cell based on the smoke concentration value; combining the layout of the batteries in the battery energy storage cabinet to be monitored and the relationship between the heat release rates of each type of battery cell, fitting the heat release rates of each type of battery under different layouts; including: taking the quantitative relationship between the heat release rate of each type of lithium battery module and the number of batteries as a first quantitative relationship; taking the quantitative relationship between the ignition time of the unit battery of the lithium battery module and the spacing between the unit batteries of the module as a second quantitative relationship; based on the coupling of the heat release rate model, the first quantitative relationship and the second quantitative relationship, obtaining the heat release rates of each type of battery under different layouts, wherein the different layouts specifically refer to the number of battery cells, the spacing between the battery cells and the position of the batteries. When modeling, PyroSim software is used to set relevant parameters; The smoke concentration corresponding to the heat release rate of each type of battery under different layouts during a fire is used as a sample to train the classifier; the output results of the trained classifier and the smoke concentration data of each type of battery under different layouts during a fire are analyzed and compared, including: based on the heat release rate of each type of battery under different layouts and the output of the classifier corresponding to the smoke concentration, a mapping relationship between the heat release rate and smoke concentration corresponding to the fire output result is established, and according to the mapping relationship, the threshold values ​​corresponding to the smoke concentrations of each type of battery under different layouts during a fire are obtained, each threshold value is sorted, and the minimum threshold value is used as the judgment threshold value; when the smoke concentration value is greater than the judgment threshold value, it is determined that a fire has occurred in the battery energy storage cabinet; for the smoke concentration threshold value, the smoke concentration threshold values ​​of each type of battery under different layouts are different, and the obtained smoke concentration threshold values ​​of each type are sorted. After sorting, the smoke concentration threshold values ​​of each type of battery under the same layout are first compared, and then the smoke concentration threshold values ​​of the same type of battery under different layouts are compared. All threshold values ​​are compared, and the minimum threshold value is taken as the smoke and fog judgment threshold value; The fire extinguishing device includes a thermal wire, and the fire host is configured to: perform optimal layout of the thermal wire, specifically including: obtaining multiple thermal wire layout schemes based on different battery arrangement methods and battery spacing distances of the thermal wire; for each layout scheme, simulating the aerosol diffusion process and setting a smoke concentration threshold; when the smoke concentration value reaches the set smoke concentration threshold, it is determined that the aerosol uniformly fills the entire space; and the layout scheme with the shortest time for the aerosol to uniformly fill the entire space is determined as the optimal thermal wire layout scheme.

2. The automatic fire extinguishing control system for a battery energy storage cabinet according to claim 1, characterized in that: The system includes a smoke sensor. The fire host is arranged outside the protection area, and the smoke sensor is located inside the protection area. The smoke sensor is connected to a controller in the fire host via a wired or wireless connection.

3. The automatic fire extinguishing control system for a battery energy storage cabinet according to claim 1, characterized in that: The fire extinguishing device includes a shell with a combustion chamber protruding from the shell. The combustion chamber cavity is used to accommodate one or more aerosol fire extinguishing cores. One end face of the cavity is open, and a nozzle is provided on the end face of the shell side wall on the same side as the opening.

4. The automatic fire extinguishing control system for a battery energy storage cabinet according to claim 3, characterized in that: The fire extinguishing core adopts potassium ion fire extinguishing agent.

5. The automatic fire extinguishing control system for a battery energy storage cabinet according to claim 1, characterized in that: The system further comprises an early warning device, which is connected to a fire host computer. The fire host computer is configured to send out an alarm signal when the smoke concentration value is greater than a judgment threshold.

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