A method for monitoring and early warning of fire in an energy storage power station

Abstract

This invention relates to a fire monitoring and early warning method for energy storage power stations, comprising the following steps: acquiring air environment parameters of the energy storage power station and determining whether they have reached an early warning threshold; if the air environment parameters reach the early warning threshold, initially locating the sample gas; acquiring characteristic parameters of all battery clusters in the corresponding battery pack, including the temperature and / or voltage values ​​of the battery clusters; accurately locating the battery cluster requiring early warning based on the characteristic parameters, and converting it into an early warning signal accordingly. This application, by detecting the number of invisible particles in the air, can promptly detect potential hazards in the very early stages of a fire. First, a large-scale screening is conducted by detecting the number of invisible particles, then the characteristic parameters of the battery clusters are used to accurately locate the battery clusters with potential fire hazards, and these are converted into early warning signals accordingly. Based on these early warning signals, personnel can quickly identify batteries with potential hazards in the very early stages of a fire in the energy storage power station, thus preventing the fire from occurring in time.

Description

Technical Field

[0001] This invention relates to the field of energy storage power station hazard monitoring technology, and more specifically, to a method for monitoring and early warning of fires in energy storage power stations. Background Technology

[0002] Energy storage power stations are crucial components in new energy power generation systems, responsible for storing electrical energy generated intermittently and unpredictably, such as from solar or wind power. This stored energy provides a stable power source for electrical equipment when needed. Energy storage power stations typically use batteries as the storage medium. Within an energy storage station, storage cabinets house several battery clusters, each cluster consisting of multiple batteries.

[0003] During the use of energy storage, internal or external factors can cause chemical reactions and changes in the components inside the battery. These changes can lead to an imbalance inside the battery, which in turn can cause the battery to catch fire and cause a fire. Therefore, it is urgent to have fire warning systems for energy storage power stations.

[0004] In the prior art, Patent Document 1 (Chinese Patent CN211486306U) discloses a fire prevention system for an energy storage container, which uses heat detectors and sound detectors installed on the top of the container inside the energy storage station for fire prevention. Patent Document 2 (Chinese Patent CN213634767U) discloses a fire alarm system for a battery energy storage room, which identifies potential fire hazards by monitoring the temperature, humidity, and detailed status of internal equipment. Patent Document 3 (Chinese Patent CN210472840U) discloses a fire prevention device for a lithium-ion battery energy storage system, which detects fires by detecting data such as temperature, characteristic gases, smoke, flames, and battery deformation parameters within the protected area. However, the detection methods in Patent Documents 1 to 3 can only detect the corresponding data in the immediate vicinity of a fire; for example, smoke cannot be detected in the very early stages of a fire. Since an energy storage station contains many batteries, a fire in a single battery can easily trigger a cluster fire or even a fire throughout the entire energy storage station. Furthermore, the gas monitoring in Patent Document 3 cannot quickly pinpoint which battery cluster is at risk of fire.

[0005] In summary, existing fire monitoring systems for energy storage stations are unable to detect and warn of fires in their very early stages and are unable to quickly identify potential hazards. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide a method for fire monitoring and early warning in energy storage power stations, addressing the above-mentioned deficiencies of the prior art.

[0007] The technical solution adopted by this invention to solve its technical problem is:

[0008] A method for fire monitoring and early warning in energy storage power stations is constructed, including the following steps:

[0009] Acquire air environment parameters of the energy storage power station and determine whether they have reached the warning threshold;

[0010] If the air environment parameters reach the warning threshold, the sample gas is initially located.

[0011] Obtain the characteristic parameters of all battery clusters in the battery pack corresponding to the location, including the temperature value and / or voltage value of the battery cluster;

[0012] The battery clusters requiring warning are precisely located based on the aforementioned characteristic parameters, and then converted into warning signals accordingly.

[0013] Further, the step of acquiring the air environment parameters of the energy storage power station and determining whether they have reached the warning threshold specifically includes:

[0014] Set a threshold for the number of invisible particles in the air that trigger an early warning;

[0015] Sample gases from each battery pack were collected and compressed sequentially, and the state parameters of the sample gases before and after compression were monitored.

[0016] Determine whether the number of invisible particles in the compressed gas has reached a certain threshold.

[0017] Further, the step of: if the air environment parameter reaches the warning threshold, initially locating the sample gas specifically includes:

[0018] If the air environment parameters reach the warning threshold, actively acquire the air environment parameters of the current battery pack and the previous battery pack;

[0019] Screen battery packs that are experiencing thermal failures.

[0020] Furthermore, it also includes the following steps:

[0021] Set the time range for tracking air environment parameters;

[0022] Set the sampling time for each battery pack.

[0023] Further, the step of: if the air environment parameter reaches the warning threshold, initially locating the sample gas specifically includes:

[0024] If the air environment parameters reach the warning threshold, actively acquire the air environment parameters of all battery packs within the traceability time range;

[0025] Screen battery packs that are experiencing thermal failures.

[0026] Furthermore, the threshold number of invisible particles triggering the warning is 500,000 / cc.

[0027] Furthermore, it also includes the following steps:

[0028] Set the time interval for reading the characteristic parameters of the battery cluster.

[0029] Further, the step of accurately locating the battery cluster requiring early warning based on the characteristic parameters and converting it into an early warning signal specifically includes:

[0030] Set the temperature threshold to trigger an alert;

[0031] The system filters out battery clusters whose current temperature has reached a temperature threshold, and converts the results into warning signals that include the specific location of the battery clusters.

[0032] Further, the step of accurately locating the battery cluster requiring early warning based on the characteristic parameters and converting it into an early warning signal specifically includes:

[0033] Set the voltage change threshold to trigger an early warning;

[0034] Calculate the voltage difference between the current time and the previous time for each battery cluster;

[0035] Battery clusters whose voltage difference reaches the voltage change threshold are selected, and the results are converted into warning signals containing the specific location of the battery clusters.

[0036] Furthermore, it also includes the following steps:

[0037] Based on the warning signal, the charging and discharging of the corresponding battery cluster is suspended.

[0038] The beneficial effects of this invention are as follows: By detecting the number of invisible particles in the air, this application can detect potential hazards in the very early stages of a fire. First, a large-scale screening is carried out by detecting the number of invisible particles, and then the characteristic parameters of the battery clusters are followed up to accurately locate the battery clusters with potential fire hazards, and the corresponding warning signals are converted into warning signals. Based on the warning signals, the staff can quickly identify the batteries with potential hazards in the very early stages of a fire in the energy storage power station, and prevent the fire from occurring in time. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments. The drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1This is a flowchart illustrating a fire monitoring and early warning method for an energy storage power station according to an embodiment of the present invention.

[0041] Figure 2 This is a structural block diagram of an energy storage power station according to an embodiment of the present invention;

[0042] Figure 3 This is a flowchart illustrating the fire early warning system for an energy storage power station according to Embodiment 1 of the present invention.

[0043] In the diagram, 1 is an energy storage power station; 2 is a control device; and 3 is a gas compression and processing device. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, a clear and complete description will be provided below in conjunction with the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the protection scope of the present invention. Example

[0045] Embodiment 1 of the present invention provides a method for fire monitoring and early warning in energy storage power stations, comprising the following steps:

[0046] S100: Acquire air environment parameters of the energy storage power station and determine whether they have reached the warning threshold;

[0047] S200: If the air environment parameters reach the warning threshold, perform initial location of the sample gas;

[0048] S300: Obtain the characteristic parameters of all battery clusters in the battery pack corresponding to the location. The characteristic parameters include the temperature value and / or voltage value of the battery cluster.

[0049] S400: Accurately locates the battery clusters requiring warning based on characteristic parameters and converts them into warning signals accordingly.

[0050] Specifically, the development of thermal failures can be categorized into three stages: the normal stage, the thermal decomposition stage, and the smoke stage. In the normal stage, the air contains only general suspended particles, ranging from approximately 25,000 / cc to 60,000 / cc. During the thermal decomposition stage, in addition to general suspended particles, the air also contains invisible submicron particles released due to overheating and reaching the thermal collapse point of the material, exceeding approximately 500,000 / cc. In the smoke stage, the air contains general suspended particles, invisible submicron particles, and smoke particles, with the cumulative particle count exceeding approximately 1,000,000 / cc. The stage from material overheating and decomposition to smoke generation is called the "thermal decomposition" stage of thermal degradation. During the thermal decomposition stage of a fire (before smoke particles are generated), a moderate increase in heat leads to the production of a large number of invisible submicron particles (0.002 μm; μ=10). -6 ).

[0051] like Figure 2 As shown, energy storage power station 1 contains multiple energy storage cabinets, each layer of which houses a battery cluster. All battery clusters in each cabinet constitute a battery pack. Gas sampling tubes are inserted into each energy storage cabinet to collect air from it. After the collected air is processed by terminal equipment, the invisible submicron particles inside are magnified into detectable water droplets with a diameter range of 10μm-20μm. The number of invisible particles is detected to determine whether a warning threshold has been reached. If the number of invisible particles reaches 500,000 / cc, indicating the thermal decomposition stage, a warning will be triggered, requiring timely intervention to prevent fire.

[0052] This application enables the detection of potential fire hazards in their very early stages by detecting the number of invisible particles in the air. It first conducts a large-scale screening by detecting the number of invisible particles, and then accurately locates battery clusters with fire hazards by following up on the characteristic parameters of the battery clusters. The alarm signals are then converted into warning signals. Based on the warning signals, staff can quickly identify batteries with potential hazards in the very early stages of a fire at the energy storage power station 1, and prevent the fire from occurring in time.

[0053] In a further embodiment, the step of acquiring the air environment parameters of the energy storage power station 1 and determining whether the warning threshold has been reached specifically includes:

[0054] Set a threshold for the number of invisible particles in the air that trigger an early warning;

[0055] Sample gases from each battery pack were collected and compressed sequentially, and various state parameters of the sample gases were monitored before and after compression.

[0056] Determine whether the number of invisible particles in the compressed gas has reached a certain threshold.

[0057] Specifically, a threshold number is set for when invisible submicron particles trigger an early warning, i.e., to determine whether the environment of the energy storage power station 1 is in the thermal decomposition stage. Each energy storage cabinet is grouped and numbered sequentially, and sampling is performed cyclically according to the numbering order each time. Among them, the gas compression processing device 3 used to process the gas includes a gas compression pump, a gas compression chamber, a temperature sensor, a humidity sensor, and a pressure sensor. The gas compression pump is responsible for collecting gas into the gas compression chamber and continuously compressing the air in the gas compression chamber. When the pressure in the gas compression chamber reaches a critical point, the gas is released. During the gas release process, based on the basic principle of Wilson cloud chamber, the water vapor in the gas expands instantaneously, and the temperature drops to a supersaturated state. The supersaturated water vapor will generate condensation nuclei on the particles, thereby causing invisible particles with a minimum particle size of 0.002μm to expand into small water droplets of about 20μm. By irradiating the small water droplets and collecting the refracted light generated by the small water droplets, the light intensity and the number of small water droplets are calculated, and then the number of invisible particles is calculated.

[0058] In a further embodiment, the step of: if the air environment parameters reach the warning threshold, initial location of the sample gas is performed, specifically including:

[0059] If the air environment parameters reach the warning threshold, actively obtain the air environment parameters of the current battery pack and the previous battery pack;

[0060] Screen battery packs that are experiencing thermal failures.

[0061] Specifically, since air from the previous battery pack may remain in the pipeline during gas sampling, the sequential sampling process needs to be paused after the air environment parameters trigger the warning conditions. The air from the current battery pack and the previous battery pack is actively collected, and the number of invisible particles is detected independently. Based on the detection results, battery packs with potential fire hazards are preliminarily identified.

[0062] In a further embodiment, the step of:

[0063] Set the time interval for reading the characteristic parameters of the battery cluster.

[0064] Specifically, during the operation of energy storage power station 1, the characteristic parameters (temperature, voltage) of each battery need to be monitored in real time. The characteristic parameters of each battery cluster are a summary of the characteristic parameters of multiple batteries. The reading interval is 1s-5s. The shorter the interval, the more accurate the monitoring results and the more timely the fire prevention.

[0065] In a further embodiment, the step of accurately locating the battery cluster requiring early warning based on characteristic parameters and converting it into an early warning signal specifically includes:

[0066] Set the temperature threshold to trigger an alert;

[0067] The system filters out battery clusters whose current temperature has reached a temperature threshold, and converts the results into warning signals that include the specific location of the battery clusters.

[0068] In a further embodiment, the step of accurately locating the battery cluster requiring early warning based on characteristic parameters and converting it into an early warning signal specifically includes:

[0069] Set the voltage change threshold to trigger an early warning;

[0070] Calculate the voltage difference between the current time and the previous time for each battery cluster;

[0071] Battery clusters whose voltage difference reaches the voltage change threshold are selected, and the results are converted into warning signals containing the specific location of the battery clusters.

[0072] Specifically, the energy storage power station is equipped with a control device 2. After initially identifying battery packs with potential fire hazards, this control device 2 retrieves the characteristic parameters of all battery clusters within those packs. These parameters include all temperature and voltage values ​​up to the time of reading, and are used for calculation and screening. During the screening process, any battery cluster meeting any threshold will be selected. That is, regardless of whether the battery cluster has temperature imbalance, voltage imbalance, or both, it will be identified as exhibiting thermal runaway and will be screened. After screening, an early warning signal containing the specific location of the battery cluster will be generated, such as battery cluster 10 in cabinet 2. Based on the early warning signal, staff can promptly conduct further inspections of all batteries in that cluster, preventing fires at an extremely early stage.

[0073] In a further embodiment, the step of:

[0074] Based on the warning signal, the charging and discharging of the corresponding battery clusters will be suspended.

[0075] After the system receives the warning signal, it will first cut off the power to the located battery cluster and suspend its charging and discharging process to avoid the continuous operation of the battery with thermal failure inside the battery cluster, which could cause a fire.

[0076] In the above embodiments, such as Figure 3As shown, the gas sampling device sequentially and cyclically samples and processes the gas from each battery pack. If the number of invisible particles in the air is below the warning threshold, subsequent steps are not executed, and sampling continues cyclically. If the number of invisible particles in the air reaches the warning threshold, sampling stops, and the gas from the current battery pack and the previous battery pack is actively collected and particle detection is performed separately to investigate battery packs that pose a fire hazard. After investigation, the characteristic parameters of all battery clusters under that battery pack are retrieved, and battery clusters with fire hazards are screened based on the characteristic parameters. A warning signal containing the specific location information of the battery cluster is generated, and the charging and discharging of the battery cluster is promptly suspended. After receiving the warning signal, the staff promptly investigates all batteries in the battery cluster, preventing fires in the energy storage power station 1 at the very early stage of a fire. Example

[0077] Embodiment 2 of the present invention provides a method for fire monitoring and early warning in energy storage power stations, such as... Figures 1 to 2 As shown, it includes the following steps:

[0078] S100: Acquire air environment parameters of the energy storage power station and determine whether they have reached the warning threshold;

[0079] S200: If the air environment parameters reach the warning threshold, perform initial location of the sample gas;

[0080] S300: Obtain the characteristic parameters of all battery clusters in the battery pack corresponding to the location. The characteristic parameters include the temperature value and / or voltage value of the battery cluster.

[0081] S400: Accurately locates the battery clusters requiring warning based on characteristic parameters and converts them into warning signals accordingly.

[0082] The difference between Example 2 and Example 1 is that the sample gas is processed by atomizing the invisible particles in the sample gas and detecting the number of particles in the sample gas by ultrasound. Compared with the gas processing method in Example 1, the operation process of Example 2 is more complicated and costly. Example

[0083] Embodiment 3 of the present invention provides a method for fire monitoring and early warning in energy storage power stations, such as... Figures 1 to 2 As shown, it includes the following steps:

[0084] S100: Acquire air environment parameters of the energy storage power station and determine whether they have reached the warning threshold;

[0085] S200: If the air environment parameters reach the warning threshold, perform initial location of the sample gas;

[0086] S300: Obtain the characteristic parameters of all battery clusters in the battery pack corresponding to the location. The characteristic parameters include the temperature value and / or voltage value of the battery cluster.

[0087] S400: Accurately locates the battery clusters requiring warning based on characteristic parameters and converts them into warning signals accordingly.

[0088] In a further embodiment, the step of:

[0089] Set the time range for tracking air environment parameters;

[0090] Set the sampling time for each battery pack.

[0091] In a further embodiment, the step of: if the air environment parameters reach the warning threshold, initial location of the sample gas is performed, specifically including:

[0092] If the air environment parameters reach the warning threshold, actively acquire the air environment parameters of all battery packs within the traceability time range;

[0093] Screen battery packs that are experiencing thermal failures.

[0094] The difference between Example 3 and Example 1 is that Example 3 traces the air environment parameters of the battery packs within a time range. For example, if the traceability time range is set to 10 seconds, and each battery pack is sampled for 4 seconds, then the gas from 3 (2.5 battery packs, but since a battery pack cannot be half a pack, we round it up) battery packs will be sampled within 10 seconds. In other words, if there is a fire hazard in the battery packs of the energy storage power station, it is necessary to actively sample the gas from all battery packs (such as the 3 battery packs in the example) within the set traceability time range for independent processing and detection in order to screen out the battery packs with fire hazards.

[0095] It should be understood that those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A method for monitoring and early warning of fire in an energy storage power station, characterized in that, Includes the following steps: Acquire air environment parameters of the energy storage power station and determine whether they have reached the warning threshold; If the air environment parameters reach the warning threshold, the sample gas is initially located. Obtain the characteristic parameters of all battery clusters in the battery pack corresponding to the location, including the temperature value and / or voltage value of the battery cluster; The battery clusters requiring warning are precisely located based on the aforementioned characteristic parameters, and then converted into warning signals accordingly. The steps include: acquiring air environment parameters of the energy storage power station and determining whether they have reached the warning threshold, specifically including: Set a threshold for the number of invisible particles in the air that trigger an early warning; Sample gases from each battery pack were collected and compressed sequentially, and the state parameters of the sample gases before and after compression were monitored. Determine whether the number of invisible particles in the compressed gas reaches a threshold; the step: if the air environment parameter reaches a warning threshold, perform initial positioning of the sample gas, specifically including: If the air environment parameters reach the warning threshold, actively acquire the air environment parameters of the current battery pack and the previous battery pack; Screening for battery packs that are experiencing thermal failures; Specifically, after the air environment parameters trigger the warning conditions, the sequential sampling steps are suspended, and the air of the current battery pack and the previous battery pack is actively collected. The number of invisible particles is detected independently for each pack. Based on the detection results, battery packs with potential fire hazards are preliminarily identified, avoiding errors in the initial positioning of the sample gas due to residual air from the previous battery pack in the pipeline.

2. The energy storage power station fire monitoring and early warning method according to claim 1, characterized in that, It also includes the following steps: Set the time range for tracking air environment parameters; Set the sampling time for each battery pack.

3. The energy storage power station fire monitoring and early warning method according to claim 2, characterized in that, The steps include: if the air environment parameters reach the warning threshold, initial location of the sample gas is performed, specifically including: If the air environment parameters reach the warning threshold, actively acquire the air environment parameters of all battery packs within the traceability time range; Screening for battery packs that are experiencing thermal failures.

4. The energy storage power station fire monitoring and early warning method according to claim 1, characterized in that, The threshold for the number of invisible particles triggering the early warning is 500,000 / cc.

5. The fire monitoring and early warning method for energy storage power stations according to claim 1, characterized in that, It also includes the following steps: Set the time interval for reading the characteristic parameters of the battery cluster.

6. The fire monitoring and early warning method for energy storage power stations according to claim 5, characterized in that, The step involves: accurately locating the battery cluster requiring early warning based on the characteristic parameters, and converting it into an early warning signal accordingly, specifically including: Set the temperature threshold to trigger an alert; The system filters out battery clusters whose current temperature has reached a temperature threshold, and converts the results into warning signals that include the specific location of the battery clusters.

7. The energy storage power station fire monitoring and early warning method according to claim 5, characterized in that, The step, namely: accurately locating the battery cluster requiring early warning based on the characteristic parameters and converting it into a corresponding early warning signal, specifically includes: Set the voltage change threshold to trigger an early warning; Calculate the voltage difference between the current time and the previous time for each battery cluster; Battery clusters whose voltage difference reaches the voltage change threshold are selected, and the results are converted into warning signals containing the specific location of the battery clusters. 8.The energy storage power station fire monitoring and early warning method according to claim 1, characterized in that, It also includes the following steps: Based on the warning signal, the charging and discharging of the corresponding battery cluster is suspended.

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