Lithium battery fire-fighting management method, system and equipment and computer readable storage medium

Abstract

A lithium battery fire-fighting management method, system and device and a computer readable storage medium belong to the field of lithium batteries, and are characterized in that a plurality of detection points are arranged in a battery compartment, a battery cluster and a battery pack, and a data acquisition device is arranged at each detection point to acquire various fire-fighting monitoring data. And when one piece of fire-fighting monitoring data abnormally rises, judging that the current state is an equipment abnormal state. For the abnormal state of the equipment, the sampling frequency of the data sampling device to which the abnormal data belongs is improved. And when the at least two pieces of fire-fighting monitoring data rise abnormally, judging that the current state is a fire-fighting abnormal state. And fire-fighting measures are executed according to the fire-fighting abnormal state. And when the battery pack and the battery cluster simultaneously have the fire-fighting abnormal state, fire-fighting agent spraying is carried out on the battery pack, the battery cluster and the battery cabin where the abnormal data is located. The technical problems that in the prior art, the lithium battery fire protection management false alarm rate is high, treatment lags behind, and the smoke explosion risk is large can be solved.

Description

Technical Field

[0001] The present application relates to the field of lithium batteries, and specifically to a lithium battery fire management method, system, device and computer-readable storage medium. Background Art

[0002] Lithium battery energy storage has become the main method for realizing electrochemical energy storage at present, and the safety of lithium batteries is an important factor affecting its sustainable development.

[0003] When lithium battery energy storage technology is applied in practice, it involves a multi-level energy storage structure. For example, in an energy storage power station, there will be multiple energy storage compartments, each energy storage compartment has multiple battery clusters, each battery cluster contains multiple battery packs, and each battery pack contains multiple battery cells. The energy storage power station will be equipped with a comprehensive management system to comprehensively manage all energy storage devices and supporting devices in the power station. Taking fire safety as an example, the energy storage power station will be equipped with a fire protection system for fire safety to monitor temperature and gas concentration. The monitoring method is relatively simple. Generally, monitoring sensors are set near the battery compartment to collect temperature and gas concentration data. According to the changes in the data, it is determined whether a fire occurs. If a fire occurs, the preset fire fighting measures are executed. The current fire fighting system has a certain false alarm rate and lag in the detection of fire. For lithium batteries that are prone to catching fire quickly, it is impossible to achieve the purpose of early warning and accurate disposal. Summary of the invention

[0004] The present application provides a lithium battery fire management method, system, device and computer-readable storage medium, which can solve the technical problems of high false alarm rate and delayed processing of lithium battery fire management in the prior art.

[0005] In a first aspect, an embodiment of the present application provides a lithium battery fire management method, the method comprising:

[0006] A plurality of detection points are arranged in the battery compartment, the battery cluster, and the battery pack, and a data acquisition device is arranged at each detection point to collect a variety of fire monitoring data, wherein the fire monitoring data includes temperature data, gas concentration data of a plurality of fire-fighting gases, and / or battery pack expansion force data;

[0007] When a fire monitoring data shows an abnormal increase, the current state is determined to be an abnormal state of the equipment; in response to the abnormal state of the equipment, the sampling frequency of the data sampling device to which the abnormal data belongs is increased;

[0008] When at least two fire monitoring data show an abnormal increase, the current state is determined to be a fire abnormal state; firefighting measures are executed for the fire abnormal state; the firefighting measures include spraying of firefighting agents and a variety of conventional firefighting actions; when the fire abnormal state appears in the battery pack and the battery cluster at the same time, firefighting agents are sprayed on the battery pack, battery cluster, and battery compartment where the abnormal data is located.

[0009] In combination with the first aspect, in one embodiment, the detection point in the battery pack is set at the battery pack tab to collect temperature data at the battery pack tab;

[0010] The detection point in the battery cluster is arranged at the top of the battery cluster to collect temperature data at the top of the battery cluster;

[0011] The detection point in the battery compartment is arranged at the top of the center of the battery compartment to collect temperature data of the air in the battery compartment.

[0012] In combination with the first aspect, in one implementation, for the temperature data, determining whether the temperature data shows an abnormal increase specifically includes the following steps:

[0013] When the temperature data satisfies any one of exceeding a preset temperature threshold and exceeding a preset temperature rise rate threshold within a preset time period, it is determined that the temperature data has abnormally risen.

[0014] In combination with the first aspect, in one implementation, when it is determined that the temperature data rises abnormally, determining whether the current state is an abnormal state of the device specifically includes the following steps:

[0015] Obtain the temperature data of all other detection points within a preset range around the detection point where the abnormal data is located, and determine whether the temperature data of other detection points meet the rising rate exceeding the preset temperature rise rate threshold within the preset time period. If so, determine that the current state is a fire abnormal state; if not, determine that the current state is an equipment abnormal state.

[0016] In combination with the first aspect, in one implementation, the abnormal fire protection state includes an abnormal temperature rise state and a thermal runaway state.

[0017] When it is determined that the temperature data has an abnormal rise, if the temperature data of all other detection points within a preset range around the detection point where the abnormal data is located meet the rising rate exceeding the preset temperature rise rate threshold within a preset time period, then the current state is determined to be an abnormal temperature rise state;

[0018] When it is determined that the temperature data has increased abnormally, if the battery pack expansion force data has increased abnormally, the current state is determined to be an abnormal temperature rise state;

[0019] When it is determined that the temperature data has increased abnormally, if the gas concentration data of hydrogen has increased abnormally, it is determined that the current state is a thermal runaway state;

[0020] If the gas concentration data of at least two firefighting gases show an abnormal increase, the current state is determined to be a thermal runaway state.

[0021] In combination with the first aspect, in one embodiment, the method includes:

[0022] When it is determined that the temperature data has risen abnormally, open the battery compartment ventilation system;

[0023] When the current state is determined to be a thermal runaway state, the battery compartment ventilation system is turned off.

[0024] In combination with the first aspect, in one embodiment, the method includes:

[0025] When the battery pack is in abnormal fire-fighting state, spray fire-fighting agents on the battery pack and battery compartment;

[0026] When the battery cluster is in abnormal fire-fighting state, fire-fighting agents are sprayed on the battery cluster and battery compartment;

[0027] When an abnormal fire-fighting state occurs in the battery compartment, fire-fighting agents are sprayed on the battery compartment.

[0028] In a second aspect, an embodiment of the present application provides a lithium battery fire management system, the system comprising:

[0029] A data acquisition module is used to set multiple detection points in the battery compartment, battery cluster, and battery pack. A data acquisition device is set at each detection point to collect a variety of fire monitoring data, including temperature data, gas concentration data of various fire gases and / or battery pack expansion force data.

[0030] A data processing module is used to determine that the current state is an abnormal equipment state when an abnormal rise occurs in a fire monitoring data; for the abnormal equipment state, increase the sampling frequency of the data sampling device to which the abnormal data belongs; when at least two fire monitoring data show abnormal rises, determine that the current state is an abnormal fire state; for the abnormal fire state, execute firefighting measures; the firefighting measures include spraying firefighting agents and a variety of conventional firefighting actions; when the abnormal fire state occurs in the battery pack and the battery cluster at the same time, spray the firefighting agent on the battery pack, the battery cluster, and the battery compartment where the abnormal data is located.

[0031] In the third aspect, an embodiment of the present application provides a lithium battery fire management device, which includes a processor, a memory, and a lithium battery fire management program stored in the memory and executable by the processor, wherein when the lithium battery fire management program is executed by the processor, the steps of the lithium battery fire management method are implemented.

[0032] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a lithium battery fire protection management program is stored, wherein when the lithium battery fire protection management program is executed by a processor, the steps of the lithium battery fire protection management method are implemented.

[0033] The beneficial effects brought by the technical solution provided in the embodiments of the present application include:

[0034] Multi-level detection points are set for battery compartments, battery clusters, and battery packs. A data acquisition device is set at each detection point to collect a variety of fire monitoring data at the location. When a single fire monitoring data shows an abnormal increase, it is determined that the equipment is in an abnormal state. At this time, it is only necessary to increase the sampling frequency to continuously monitor the equipment where the abnormal data is located. When any two or more fire monitoring data show an abnormal increase, it can be determined that an abnormal fire state has occurred. At this time, it is necessary to execute corresponding firefighting measures to carry out firefighting treatment, thereby increasing the speed of firefighting impact.

[0035] Firefighting measures include spraying of firefighting agents and other routine firefighting actions. If the battery pack and battery cluster are in abnormal firefighting status at the same time, firefighting agents will be sprayed on the battery pack, battery cluster, and battery compartment, thereby achieving multi-level firefighting linkage and improving the handling effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a flow chart of an embodiment of the lithium battery fire protection management method of the present application.

[0037] Figure 2 This is a flow chart of an embodiment of a lithium battery fire protection management method of the present application.

[0038] Figure 3 This is a schematic diagram of the functional modules of an embodiment of a lithium battery fire management system of the present application.

[0039] Figure 4 This is a schematic diagram of the hardware structure of the lithium battery fire management equipment involved in the embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0041] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0042] In a first aspect, an embodiment of the present application provides a lithium battery fire protection management method.

[0043] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of an embodiment of the lithium battery fire protection management method of this application. Figure 1 As shown, the lithium battery fire protection management method includes:

[0044] Step S1, multiple detection points are set in the battery compartment, battery cluster, and battery pack, and a data acquisition device is set at each detection point to collect various fire monitoring data, including temperature data, gas concentration data of various fire gases and / or battery pack expansion force data.

[0045] Step S2: When one fire monitoring data shows an abnormal rise, the current state is determined to be an abnormal equipment state. For the abnormal equipment state, the sampling frequency of the data sampling device to which the abnormal data belongs is increased. When at least two fire monitoring data show an abnormal rise, the current state is determined to be an abnormal fire state. For the abnormal fire state, firefighting measures are executed. Firefighting measures include spraying firefighting agents and a variety of conventional firefighting actions.

[0046] When a fire-fighting abnormality occurs in a battery pack and a battery cluster at the same time, fire-fighting agents are sprayed on the battery pack, battery cluster, and battery compartment where the abnormal data is located.

[0047] In this embodiment, multiple levels of detection points are set for the battery compartment, battery cluster, and battery pack. A data acquisition device is set at each detection point to collect a variety of fire monitoring data at the location. When a single fire monitoring data shows an abnormal increase, it is determined that the equipment is in an abnormal state. At this time, it is only necessary to increase the sampling frequency to continuously monitor the equipment where the abnormal data is located. When any two or more fire monitoring data show an abnormal increase, it can be determined that an abnormal fire state has occurred. At this time, it is necessary to execute corresponding fire measures to carry out fire treatment, thereby increasing the speed of fire impact.

[0048] Firefighting measures include spraying of firefighting agents and other routine firefighting actions. If the battery pack and battery cluster are in abnormal firefighting status at the same time, firefighting agents will be sprayed on the battery pack, battery cluster, and battery compartment, thereby achieving multi-level firefighting linkage and improving the handling effect.

[0049] Furthermore, in one embodiment, the detection point in the battery pack is set at the battery pack tab to collect temperature data at the battery pack tab.

[0050] The detection point in the battery cluster is arranged at the top of the battery cluster to collect temperature data at the top of the battery cluster.

[0051] The detection point in the battery compartment is arranged at the top of the battery compartment to collect the temperature data of the air in the battery compartment.

[0052] In the present embodiment, the battery pack tab is where the temperature variation on the battery pack is most obvious. Therefore, collecting the temperature data at the tab can characterize the temperature variation of the battery pack. By monitoring whether the temperature at the tab rises abnormally, it can be determined whether the battery pack has an abnormality.

[0053] The top of the battery cluster is where the temperature change is most obvious. Therefore, collecting temperature data at the top of the cluster can characterize the temperature change of the battery cluster. By monitoring whether the temperature at the top of the cluster rises abnormally, it can be determined whether the battery cluster is abnormal.

[0054] The top of the battery compartment is where the air temperature changes most significantly. Therefore, collecting temperature data from the top can characterize the temperature changes of the air in the battery compartment. By monitoring whether the top temperature rises abnormally, it can be determined whether there is an abnormality in the battery compartment.

[0055] Further, in one embodiment, referring to Figure 2 , Figure 2 This is a flow chart of an embodiment of the lithium battery fire protection management method of the present application. For temperature data, judging whether the temperature data has abnormally increased specifically includes the following steps:

[0056] When the temperature data satisfies any one of exceeding a preset temperature threshold and exceeding a preset temperature rise rate threshold within a preset time period, it is determined that the temperature data has abnormally risen.

[0057] In this embodiment, when the temperature data at the detection point exceeds the preset value or rises rapidly, it is judged that the temperature data at the detection point meets the condition of abnormal rise. If only the temperature data of the detection point is abnormal, and the temperature data of other detection points or other fire monitoring data are not abnormal, it can be judged that the current state is abnormal equipment. If the temperature data of other detection points other than the detection point also show abnormalities or other fire monitoring data also show abnormalities, it can be judged that the current state is abnormal fire. Among them, the judgment condition for judging whether the temperature data of other detection points is abnormal can be only whether the temperature data rise rate exceeds the preset temperature rise rate threshold, that is, the temperature data of other detection points does not need to exceed the preset temperature threshold.

[0058] Further, in one embodiment, when it is determined that the temperature data has abnormally increased, determining whether the current state is an abnormal state of the device specifically includes the following steps:

[0059] Obtain the temperature data of all other detection points within the preset range around the detection point where the abnormal data is located, and determine whether the temperature data of other detection points meet the rising rate exceeding the preset temperature rise rate threshold within the preset time period. If so, determine that the current state is a fire abnormal state. If not, determine that the current state is an equipment abnormal state.

[0060] In this embodiment, under normal circumstances, that is, when there is no abnormal state of the equipment and no abnormal temperature rise state, each detection point does not need to report the collected fire monitoring data in real time, but only needs to report the data according to the pre-configured reporting frequency. This can reduce the communication burden and the data processing volume of the monitoring background. If an abnormality occurs, for example, the battery pack temperature data collected at a certain detection point at a certain moment exceeds 60°C or the temperature rise rate is greater than 1°C / s within 5s, it means that there are signs of fire. At this time, it is necessary to immediately report the temperature data of the detection point and all other detection points within a preset range around the detection point within a certain time period (for example, within 5s before and after) to the monitoring background, and no longer report the fire monitoring data at the set frequency interval, but upload all fire monitoring data in real time. In this way, when there are signs of fire, all data can be fully and accurately monitored, the fire can be discovered in time and corresponding fire fighting measures can be implemented.

[0061] Reference Figure 2 As shown in , if the battery pack temperature data collected at a certain detection point at a certain moment exceeds 60°C or the temperature rise rate is greater than 1°C / s within 5s, it will continue to be determined whether the temperature rise rate of other detection points around the detection point exceeds 1°C / s. If so, it is determined that an abnormal temperature rise occurs. If not, it is necessary to combine other fire monitoring data to determine whether two or more fire monitoring data including temperature data are abnormal. When judging whether other detection points have temperature abnormalities, it is not necessary to determine whether the temperature data of other detection points exceeds the preset temperature threshold. This is because if the temperature of a certain detection point rises rapidly, the temperature of the surrounding detection points may not exceed the preset temperature threshold due to the temperature conduction rate, but its temperature rise rate will exceed the preset temperature rise rate threshold, which is also in line with the actual situation when the battery pack catches fire.

[0062] Furthermore, in one embodiment, the above-mentioned abnormal fire protection state includes an abnormal temperature rise state and a thermal runaway state.

[0063] When it is determined that the temperature data has risen abnormally, if the temperature data of all other detection points within a preset range around the detection point where the abnormal data is located meet the rising rate exceeding the preset temperature rise rate threshold within a preset time period, the current state is determined to be an abnormal temperature rise state.

[0064] When it is determined that the temperature data increases abnormally, if the battery pack expansion force data increases abnormally, the current state is determined to be an abnormal temperature rise state.

[0065] When it is determined that the temperature data increases abnormally, if the gas concentration data of hydrogen increases abnormally, it is determined that the current state is a thermal runaway state.

[0066] If the gas concentration data of at least two firefighting gases show an abnormal increase, the current state is determined to be a thermal runaway state.

[0067] In this embodiment, the thermal runaway state is more serious than the abnormal temperature rise state, and the corresponding firefighting measures also need to be more powerful. When it is determined that the temperature data has risen abnormally, if the temperature data of all other detection points within the preset range around the detection point where the abnormal data is located meets the rising rate exceeding the preset temperature rise rate threshold within the preset time period, then the current state is determined to be an abnormal temperature rise state. At this time, the abnormal battery pack position can be recorded and used as the action position of the firefighting action, and the sampling frequency can be increased to ensure that the firefighting measures are effective.

[0068] When it is determined that the temperature data has risen abnormally, if the battery pack expansion force data also rises abnormally, the current state is determined to be an abnormal temperature rise state. At this time, the abnormal battery pack position can be recorded and used as the action position of the fire-fighting action, and the sampling frequency can be increased to ensure that the fire-fighting measures are effective.

[0069] When it is determined that the temperature data has risen abnormally, if the gas concentration data of hydrogen has risen abnormally, the current state is determined to be a thermal runaway state. At this time, the electrical connection of the entire cabin is cut off, and the fire-fighting agent spraying of the abnormal battery pack is started. At the same time, the battery cabin is closed, the ventilation is turned off, the sound and light alarm is activated, and the cooling system is turned off.

[0070] If the gas concentration data of at least two fire-fighting gases show an abnormal increase, for example, two or three of hydrogen H2, carbon monoxide CO, and volatile organic compounds VOC show an abnormal increase in concentration, the current state is determined to be a thermal runaway state. At this time, the electrical connection of the entire cabin is cut off, the fire-fighting agent spraying of the abnormal battery pack is started, the battery cabin is closed, the ventilation is turned off, the sound and light alarm is activated, and the cooling system is turned off.

[0071] In a specific embodiment, 26-52 detection points are set in the battery pack, and the data acquisition device includes an NTC (Negative Temperature Coefficient, negative temperature coefficient thermistor), and the maximum measurable temperature is 150°C.

[0072] The battery compartment's own battery management system is responsible for cutting off the electrical connection of the entire compartment and shutting down the cooling system. The fire-fighting system supporting the battery compartment is responsible for initiating the spraying of fire-fighting agents on abnormal battery packs, while closing the battery compartment, shutting down ventilation, and activating the sound and light alarms.

[0073] Furthermore, in one embodiment, the method includes:

[0074] When the battery pack is in a fire-fighting abnormal state, fire-fighting agents are sprayed on the battery pack.

[0075] When a fire-fighting abnormality occurs in a battery cluster, fire-fighting agents are sprayed on the battery packs.

[0076] When an abnormal fire condition occurs in the battery compartment, fire-fighting agents are sprayed on the battery pack.

[0077] In this embodiment, if an abnormality occurs in a single battery pack, the fire-fighting agent is sprayed on the battery pack; if an abnormality occurs in a single battery cluster, the fire-fighting agent is sprayed on the battery cluster; if an abnormality occurs in a single battery compartment, the fire-fighting agent is sprayed on the battery cluster, thereby improving the targeted nature of fire-fighting measures. However, if fire-fighting abnormalities occur in the battery pack and the battery cluster at the same time, the fire-fighting agent is sprayed on the battery pack, battery cluster, and battery compartment where the abnormal data is located, thereby improving the timeliness and effectiveness of fire-fighting measures.

[0078] In a second aspect, an embodiment of the present application also provides a lithium battery fire protection management system.

[0079] In one embodiment, referring to Figure 3 , Figure 3 This is a functional module diagram of an embodiment of the lithium battery fire management system of the present application. Figure 3 As shown, the lithium battery fire management system includes:

[0080] The data acquisition module 1 is used to set multiple detection points in the battery compartment, battery cluster, and battery, and set a data acquisition device at each detection point to collect various fire monitoring data, including temperature data, gas concentration data of various fire gases and / or battery pack expansion force data.

[0081] The data processing module 2 is used to determine that the current state is an abnormal equipment state when an abnormal rise occurs in a fire monitoring data. In response to the abnormal equipment state, the sampling frequency of the data sampling device to which the abnormal data belongs is increased. When at least two fire monitoring data show an abnormal rise, the current state is determined to be an abnormal fire state. In response to the abnormal fire state, firefighting measures are executed. The above-mentioned firefighting measures include spraying of firefighting agents and a variety of conventional firefighting actions. When the abnormal fire state occurs in the battery pack and the battery cluster at the same time, the firefighting agent is sprayed on the battery pack, battery cluster, and battery compartment where the abnormal data is located.

[0082] In this embodiment, multiple levels of detection points are set for the battery compartment, battery cluster, and battery pack. A data acquisition device is set at each detection point to collect a variety of fire monitoring data at the location. When a single fire monitoring data shows an abnormal increase, it is determined that the equipment is in an abnormal state. At this time, it is only necessary to increase the sampling frequency to continuously monitor the equipment where the abnormal data is located. When any two or more fire monitoring data show an abnormal increase, it can be determined that an abnormal fire state has occurred. At this time, it is necessary to execute corresponding fire measures to carry out fire treatment, thereby increasing the speed of fire impact.

[0083] Firefighting measures include spraying of firefighting agents and other routine firefighting actions. If the battery pack and battery cluster are in abnormal firefighting status at the same time, firefighting agents will be sprayed on the battery pack, battery cluster, and battery compartment, thereby achieving multi-level firefighting linkage and improving the handling effect.

[0084] Among them, the functional implementation of each module in the above-mentioned lithium battery fire protection management device corresponds to the various steps in the above-mentioned lithium battery fire protection management method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0085] In a third aspect, an embodiment of the present application provides a lithium battery fire management device, which may be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0086] Reference Figure 4 , Figure 4 The hardware structure diagram of the lithium battery fire management device involved in the embodiment of the present application is shown in FIG. In the embodiment of the present application, the lithium battery fire management device may include a processor, a memory, a communication interface, and a communication bus.

[0087] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0088] The communication interface includes input / output (I / O) interface, physical interface and logical interface, etc., which are used to realize the interconnection of devices inside the lithium battery fire management device, and the interface used to realize the interconnection of the lithium battery fire management device with other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc. The user device can be a display, a keyboard, etc.

[0089] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0090] The processor may be a general-purpose processor, which may call the lithium battery fire management program stored in the memory and execute the lithium battery fire management method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the lithium battery fire management program is called may refer to the various embodiments of the lithium battery fire management method of the present application, which will not be described in detail here.

[0091] Those skilled in the art will understand that Figure 4 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0092] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0093] A lithium battery fire protection management program is stored on the computer-readable storage medium of the present application, wherein when the lithium battery fire protection management program is executed by a processor, the steps of the lithium battery fire protection management method as described above are implemented.

[0094] Among them, the method implemented when the lithium battery fire protection management program is executed can refer to the various embodiments of the lithium battery fire protection management method of the present application, and will not be repeated here.

[0095] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0096] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0097] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0098] In the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B. "And / or" in the text is only a description of the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, "multiple" means two or more than two.

[0099] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0100] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as mentioned above, and includes a number of instructions for a terminal device to execute the above-mentioned methods of each embodiment of the present application.

[0101] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A lithium battery fire protection management method, characterized in that: The method comprises: A plurality of detection points are arranged in the battery compartment, the battery cluster, and the battery pack, and a data acquisition device is arranged at each detection point to collect a variety of fire monitoring data, wherein the fire monitoring data includes temperature data, gas concentration data of a plurality of fire-fighting gases, and / or battery pack expansion force data; When a fire monitoring data shows an abnormal rise, the current state is determined to be an abnormal state of the equipment; in view of the abnormal state of the equipment, the sampling frequency of the data sampling device to which the abnormal data belongs is increased; When at least two fire monitoring data show an abnormal increase, the current state is determined to be a fire abnormal state; firefighting measures are executed for the fire abnormal state; the firefighting measures include spraying of firefighting agents and a variety of conventional firefighting actions; when the fire abnormal state appears in the battery pack and the battery cluster at the same time, firefighting agents are sprayed on the battery pack, battery cluster, and battery compartment where the abnormal data is located.

2. The lithium battery fire protection management method according to claim 1, characterized in that: The detection point in the battery pack is set at the battery pack pole ear to collect temperature data at the battery pack pole ear; The detection point in the battery cluster is arranged at the top of the battery cluster to collect temperature data at the top of the battery cluster; The detection point in the battery compartment is arranged at the center top of the battery compartment to collect temperature data of the air in the battery compartment.

3. The lithium battery fire protection management method according to claim 1, characterized in that: For the temperature data, judging whether the temperature data has an abnormal increase includes the following steps: When the temperature data satisfies any one of exceeding a preset temperature threshold and exceeding a preset temperature rise rate threshold within a preset time period, it is determined that the temperature data has abnormally risen.

4. The lithium battery fire protection management method according to claim 1, characterized in that: When it is determined that the temperature data has abnormally increased, it is determined whether the current state is an abnormal state of the device, which specifically includes the following steps: Obtain the temperature data of all other detection points within a preset range around the detection point where the abnormal data is located, and determine whether the temperature data of other detection points meet the rising rate exceeding the preset temperature rise rate threshold within the preset time period. If so, determine that the current state is a fire abnormal state; if not, determine that the current state is an equipment abnormal state.

5. The lithium battery fire protection management method according to claim 1, characterized in that: The abnormal fire protection state includes abnormal temperature rise state and thermal runaway state; When it is determined that the temperature data has an abnormal rise, if the temperature data of all other detection points within a preset range around the detection point where the abnormal data is located meet the rising rate exceeding the preset temperature rise rate threshold within a preset time period, then the current state is determined to be an abnormal temperature rise state; When it is determined that the temperature data has increased abnormally, if the battery pack expansion force data has increased abnormally, the current state is determined to be an abnormal temperature rise state; When it is determined that the temperature data has increased abnormally, if the gas concentration data of hydrogen has increased abnormally, it is determined that the current state is a thermal runaway state; If the gas concentration data of at least two firefighting gases show an abnormal increase, the current state is determined to be a thermal runaway state.

6. The lithium battery fire protection management method according to claim 1, characterized in that: The method comprises: When it is determined that the temperature data has risen abnormally, open the battery compartment ventilation system; When the current state is determined to be a thermal runaway state, the battery compartment ventilation system is turned off.

7. The lithium battery fire protection management method according to claim 1, characterized in that: The method comprises: When the battery pack is in abnormal fire-fighting state, spray fire-fighting agents on the battery pack and battery compartment; When the battery cluster is in abnormal fire-fighting state, fire-fighting agents are sprayed on the battery cluster and battery compartment; When an abnormal fire-fighting state occurs in the battery compartment, fire-fighting agents are sprayed on the battery compartment.

8. A lithium battery fire management system, characterized in that: The system comprises: A data acquisition module, which is used to set multiple detection points in the battery compartment, the battery cluster, and the battery pack, and set a data acquisition device at each detection point to collect a variety of fire monitoring data, the fire monitoring data including temperature data, gas concentration data of a variety of fire gases and / or battery pack expansion force data; A data processing module is used to determine that the current state is an abnormal equipment state when an abnormal rise occurs in a fire monitoring data; for the abnormal equipment state, increase the sampling frequency of the data sampling device to which the abnormal data belongs; when at least two fire monitoring data show abnormal rises, determine that the current state is an abnormal fire state; for the abnormal fire state, execute firefighting measures; the firefighting measures include spraying firefighting agents and a variety of conventional firefighting actions; when the abnormal fire state occurs in the battery pack and the battery cluster at the same time, spray the firefighting agent on the battery pack, the battery cluster, and the battery compartment where the abnormal data is located.

9. A lithium battery fire management device, characterized in that: The lithium battery fire protection management device includes a processor, a memory, and a lithium battery fire protection management program stored in the memory and executable by the processor, wherein when the lithium battery fire protection management program is executed by the processor, the steps of the lithium battery fire protection management method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a lithium battery fire protection management program, wherein when the lithium battery fire protection management program is executed by a processor, the steps of the lithium battery fire protection management method as described in any one of claims 1 to 7 are implemented.

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