Method, device and system for detecting gas generated by out-of-control battery

Abstract

The invention relates to the technical field of gas detection, in particular to a method, device and system for detecting gas generated when a battery is out of control. The method comprises the following steps: for a scene in which large-scale storage of batteries or storage of equipment using the batteries as power is required, performing gas sampling on each sampling position to realize real-time monitoring of the batteries / equipment using the batteries corresponding to each sampling position so as to timely discover and process battery anomalies, and meanwhile, performing gas sampling on the equipment using the batteries as power. Gas sampling detection is carried out on each sampling position, the position of an abnormal battery can be accurately determined, the detection accuracy is improved, further, the abnormal degree of the battery can be accurately recognized by detecting the gas type and concentration of the position where the battery is located, potential safety hazards of the battery can be found in time, and the safety of the battery is improved. Serious accidents such as fire disasters and explosions are prevented.

Description

Technical Field

[0001] The present application relates to the field of gas detection technology, and in particular to a method, device and system for detecting gas generated by battery runaway. Background Art

[0002] With the popularity of electronic devices such as electric vehicles and smartphones, lithium batteries have been widely used as an efficient and high-energy battery system. However, during the use of lithium batteries, due to abnormal conditions such as overcharging, over-discharging, short circuit, high temperature, etc., thermal runaway may occur, causing the internal temperature of the battery to rise, and even explosion, combustion and other dangerous situations. Thermal runaway is one of the important issues of lithium battery safety and poses a serious threat to the safety of personnel and property.

[0003] The thermal runaway process of lithium batteries is a complex physical and chemical process, which usually includes several different stages. Among them, a notable characteristic stage is the release of gas inside or outside the battery. These gases usually include hydrogen, carbon monoxide, carbon dioxide, methane, ethylene, etc. Their generation and concentration changes are closely related to the severity and stage of thermal runaway. Therefore, by detecting and analyzing the gas in the storage space of lithium batteries, the state and progress of thermal runaway of lithium batteries can be indirectly reflected.

[0004] Existing gas detection technology detects and measures the concentration of specific gases by installing gas sensors or mass spectrometers in the space where lithium batteries are placed. However, in application sites where dozens or even hundreds of lithium batteries are placed, or where equipment powered by lithium batteries is stored, even if the presence of specific gases in the scene is measured, the location of the abnormal lithium battery / equipment cannot be determined. Therefore, in application scenarios where dozens or even hundreds of lithium batteries / equipment are placed in a large space, how to determine the specific location of the abnormal lithium battery has become a safety issue that needs to be solved urgently. Summary of the invention

[0005] In order to determine the specific location of an abnormal lithium battery / device, the present application provides a method, device and system for detecting gas generated by a runaway battery, so as to achieve safety monitoring in a non-contact manner.

[0006] In a first aspect, the present application provides a method for detecting gas generated by battery runaway, using the following technical solution: A method for detecting gas generated by battery runaway, comprising: Obtaining the current position to be sampled, where one sampling position corresponds to one monitoring space, and one monitoring space includes at least one battery device, where the battery device is a battery or a device using a battery; Controlling the current sampling valve corresponding to the current sampling position to be sampled to open, and controlling other sampling valves except the current sampling valve to close; After the current sampling valve is opened and other sampling valves are closed, controlling the air extraction unit to start; Detect and analyze the gas extracted from the current sampling position, receive the gas type corresponding to the current sampling position and the gas concentration corresponding to each gas type; Based on the gas type corresponding to the current position to be sampled and the gas concentration corresponding to each gas type, it is determined whether an abnormality occurs in the battery device corresponding to the current position to be sampled.

[0007] By adopting the above technical solution, for scenarios where batteries need to be used on a large scale, by sampling gas at each sampling position, real-time monitoring of the batteries corresponding to each sampling position can be achieved, so as to timely discover and handle battery abnormalities. At the same time, by performing gas detection at each sampling position, it is helpful to accurately determine the location of the abnormal battery, thereby improving the accuracy of detection. Furthermore, a non-contact method is used to perform large-space safety monitoring of batteries or equipment using batteries (such as electric bicycles). By detecting the gas type and concentration at the location of the battery, it is possible to accurately identify whether the battery is abnormal. Batteries often release specific gases (such as hydrogen, carbon monoxide, carbon dioxide, etc.) in abnormal conditions (such as overheating, short circuit, leakage, etc.). By detecting the presence and concentration of these gases, safety hazards of batteries can be discovered in a timely manner to prevent serious accidents such as fire and explosion.

[0008] In a possible implementation, the gas extracted from the current sampling position is detected and analyzed, including: Get the pipeline detection length corresponding to the current sampling position; Determine the pumping pressure and the pumping time based on the pipeline detection length; After the gas extraction time has elapsed, the gas analysis unit is controlled to analyze and detect the gas in the pipeline corresponding to the current sampling position.

[0009] By adopting the above technical solution, the pumping time and the pumping pressure are determined by considering the pipeline detection length, which can ensure that the gas in the pipeline has been fully mixed and extracted into the gas analysis unit before gas analysis, avoiding analysis errors caused by uneven gas distribution or insufficient mixing, and improving the accuracy and reliability of gas analysis. At the same time, customizing the pumping time according to the pipeline detection length can avoid unnecessary long-term pumping, thereby saving energy and time.

[0010] In a possible implementation, determining whether an abnormality occurs in a battery device corresponding to the position to be detected based on the gas type corresponding to the current position to be sampled and the gas concentration corresponding to each gas type includes: Get the pipeline detection length corresponding to the current sampling position; Based on the pipeline detection length, obtaining the standard concentration corresponding to each gas type; Determine whether the gas concentration corresponding to each gas type is greater than the corresponding standard concentration; If the gas concentration corresponding to the gas type is greater than the corresponding standard concentration, it is determined that the battery device corresponding to the position to be detected is abnormal; If there is no gas type whose gas concentration is greater than the corresponding standard concentration, it is determined that no abnormality occurs in the battery device corresponding to the position to be detected.

[0011] By adopting the above technical solution, by detecting the gas type and concentration and comparing it with the standard concentration, it is possible to accurately determine whether the battery is abnormal. This method is more direct and accurate than traditional physical parameter detection methods such as temperature and voltage, and can detect potential problems inside the battery earlier. Especially for equipment using batteries, when it is impossible to directly monitor parameters such as battery temperature or voltage, a non-contact method is used to quickly determine the status of equipment using batteries and detect dangers in a timely manner.

[0012] In a possible implementation, when it is determined that an abnormality occurs in the battery device corresponding to the position to be detected, the method may further include: Acquire a previous sampling position and a next sampling position located at the current position to be sampled; The current position to be sampled, the previous sampling position and the next sampling position are all determined as abnormal sampling positions; the detection frequency of the abnormal sampling position is re-determined, and a sampling detection sequence is generated based on the re-determined detection frequency of the abnormal sampling position.

[0013] By adopting the above technical solution, by obtaining the previous sampling position and the next sampling position of the current sampling position and treating them as abnormal sampling positions, the focus on potential abnormal areas can be quickly expanded. Re-adjusting the detection frequency of abnormal sampling positions means that these areas will be monitored more frequently, which helps to timely discover the changing trend of abnormal situations, including whether they are spreading or aggravating, so that responses and processing can be made more quickly.

[0014] In a possible implementation, re-determining the detection frequency of the abnormal sampling position, and generating a sampling detection order based on the re-determined detection frequency of the abnormal sampling position, includes: Obtaining the total number of abnormalities and the total number of detections corresponding to the abnormal sampling position and the remaining sampling positions, respectively, wherein the remaining sampling positions are sampling positions other than the abnormal sampling position; Based on the total number of abnormalities and the total number of detections corresponding to the abnormal sampling position and the remaining sampling positions, and based on Formula 1: The abnormal first duty cycle corresponding to the abnormal sampling position is calculated based on Formula 2: The remaining first duty cycles corresponding to the remaining sampling positions are calculated, the abnormal first duty cycle is used to characterize the degree of sampling abnormality corresponding to the abnormal sampling position, and the remaining first duty cycles are used to characterize the degree of sampling abnormality corresponding to the remaining sampling positions, wherein: is the abnormal first duty cycle, is the remaining first duty cycle, A i is the i-th abnormal sampling position, B i is the i-th remaining sampling position, is the total number of abnormalities corresponding to the ith abnormal sampling position, is the total number of detections corresponding to the i-th abnormal sampling position, is the total number of abnormalities corresponding to the remaining sampling positions of the ith is the total number of detections corresponding to the remaining sampling positions of the i-th; Obtain the number of battery devices corresponding to each sampling position, and determine the abnormal second duty ratio corresponding to the abnormal sampling position and the remaining second duty ratios corresponding to the remaining sampling positions based on the number of battery devices corresponding to each sampling position, wherein the abnormal second duty ratio is used to characterize the sampling ratio corresponding to the abnormal sampling position, and the remaining second duty ratios are used to characterize the sampling ratios corresponding to the remaining sampling positions; Obtaining a current sampling detection order, and determining a current detection frequency corresponding to each sampling position based on the current sampling detection order; Based on each of the current detection frequencies, the abnormal first duty cycle, the abnormal second duty cycle, the remaining first duty cycles, and the remaining second duty cycles, and based on Formula 3: The detection frequency corresponding to the abnormal sampling position is re-determined based on Formula 4: Re-determine the detection frequencies corresponding to the remaining sampling positions, wherein: is the detection frequency corresponding to the i-th abnormal sampling position, is the current detection frequency corresponding to the i-th abnormal sampling position, K1 is the coefficient corresponding to the first abnormal duty cycle, D Ai The maximum value in, K2 is the coefficient corresponding to the abnormal second duty cycle, D i1is the abnormal second duty cycle corresponding to the ith abnormal sampling position, D i1 The mean of, X1 is the first adjustment coefficient, is the detection frequency corresponding to the i-th remaining sampling position, is the current detection frequency corresponding to the i-th remaining sampling position, K3 is the coefficient corresponding to the remaining first duty cycle, D Bmax for The maximum value of K4 is the coefficient corresponding to the remaining second duty cycle, D i2 is the second duty cycle of the region corresponding to the i-th remaining sampling position, D i2 The mean of , X2 is the second adjustment coefficient; A sampling detection sequence is generated based on the re-determined detection frequency of the abnormal sampling position and the detection frequencies corresponding to the remaining sampling positions.

[0015] By adopting the above technical solution, calculating the abnormal first duty cycle (characterizing the degree of sampling abnormality of the abnormal sampling position) and the abnormal second duty cycle (characterizing the sampling ratio of the abnormal sampling position), it is possible to more accurately identify the sampling positions where abnormalities occur frequently or the degree of abnormality is high, and to concentrate limited detection resources on these key positions, thereby improving the pertinence and effectiveness of detection. According to the abnormal first duty cycle and the abnormal second duty cycle, the detection frequency of the abnormal sampling position can be dynamically re-determined. For positions with a high degree of abnormality or frequent abnormalities, the detection frequency will be increased to capture abnormal changes more promptly. At the same time, for the remaining sampling positions, corresponding frequency adjustments will be made according to the remaining first duty cycles and the remaining second duty cycles to ensure that the entire system is effectively monitored without excessive consumption of resources.

[0016] In a possible implementation, when the gas concentration corresponding to the existing gas type is greater than the corresponding standard concentration, the method further includes: Determine the gas type whose gas concentration is greater than the corresponding standard concentration as the target gas type; Based on the gas concentration corresponding to the target gas type, the abnormality degree of the battery corresponding to the current position to be sampled is determined; based on the current position to be sampled and the abnormality degree, an abnormal instruction is generated.

[0017] By adopting the above technical solution, by determining the gas type with a gas concentration exceeding the standard concentration as the target gas type, the abnormality degree of the battery can be determined and an abnormal instruction can be generated, which is conducive to the operation and maintenance personnel to more accurately understand the operating status of the battery corresponding to the current sampling position and provide data support for the formulation of maintenance plans.

[0018] In a second aspect, the present application provides a device for detecting gas generated by battery runaway, which adopts the following technical solution: A detection device for gas generated by battery runaway, comprising: A sampling module, wherein the sampling module is used to sample the gas corresponding to each sampling position; A detection module is used to detect the gas sampled by the sampling module to obtain the gas type corresponding to each sampling position and the gas concentration corresponding to each gas type.

[0019] In a possible implementation, the sampling module includes: Pipes, which provide a path for the gas; A plurality of sampling valves, wherein the sampling valves are two-position three-way valves, connected by pipelines, each two-position three-way valve corresponds to at least one battery and is used to sample the gas corresponding to the battery; The gas extraction unit is used to suck the gas at the corresponding position of the sampling valve into the pipeline, and rely on the suction force generated to draw the gas to the gas analysis unit.

[0020] In a possible implementation, the detection module includes: A gas analysis unit, used to analyze the type and concentration of the gas in the pipeline, and located at the same end of the pipeline as the gas extraction unit; a control unit, used to control the opening and closing of the sampling valve, the operation of the gas extraction unit and the gas analysis unit; A power supply unit is used to provide electrical energy to the control unit, the gas extraction unit, the gas analysis unit and the sampling valve.

[0021] In a third aspect, the present application provides a detection system for gas generated by battery runaway, which adopts the following technical solution: A detection system for gas generated by battery runaway, the system comprising: The device for detecting gas generated by battery runaway as described in the second aspect above; Electronic equipment.

[0022] In a possible implementation, the electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the method described in any one of the first aspects above.

[0023] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium, comprising: storing a computer program that can be loaded by a processor and execute any one of the methods described in the first aspect above.

[0024] In summary, the present application includes the following beneficial technical effects: for scenarios where batteries need to be used on a large scale, by sampling gas at each sampling position, real-time monitoring of the battery corresponding to each sampling position is achieved, so as to timely discover and handle battery abnormalities. At the same time, by performing gas detection at each sampling position, it is helpful to accurately determine the location of the abnormal battery, thereby improving the accuracy of detection. Furthermore, a non-contact method is used to perform large-space safety monitoring of batteries or equipment using batteries (such as electric bicycles). By detecting the type and concentration of gas at the location of the battery, it is possible to accurately identify whether the battery is abnormal. Batteries often release specific gases (such as hydrogen, carbon monoxide, carbon dioxide, etc.) in abnormal conditions (such as overheating, short circuit, leakage, etc.). By detecting the presence and concentration of these gases, safety hazards of batteries can be discovered in a timely manner to prevent serious accidents such as fire and explosion. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a schematic diagram of an application scenario provided by an embodiment of the present application; Figure 2 It is a flow chart of a gas detection method provided in an embodiment of the present application; Figure 3 is a schematic diagram of a valve and a pipeline provided in an embodiment of the present application; Figure 4 is a schematic diagram of a gas detection device provided in an embodiment of the present application; Figure 5 It is a block diagram of a gas detection system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] The following is combined with Figure 1 -Attached Figure 5 This application is described in further detail.

[0027] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, 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 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.

[0028] In order to facilitate understanding of the technical solution proposed in this application, several elements introduced in the description of this application are first introduced here. It should be understood that the following introduction is only for the convenience of understanding these elements, so as to understand the content of the embodiments of this application, and does not necessarily cover all possible situations.

[0029] Lithium-ion batteries are becoming more and more popular in our daily lives, from energy storage power stations to electronic products, and the demand is increasing year by year. While lithium-ion batteries bring convenience to people, they also introduce new safety hazards to cities. Due to the poor thermal stability of high-energy-density lithium-ion batteries, extreme working conditions such as overcharging and overheating can easily induce thermal runaway of the battery, releasing a large amount of heat and high-temperature smoke in a short period of time, and even causing fires and explosions.

[0030] According to research, different stages of thermal runaway of lithium batteries have different characteristics.

[0031] Initial stage: The temperature changes. By monitoring the temperature changes of the battery electrodes, an early warning of thermal runaway can be given.

[0032] Early stage: The temperature of the battery electrodes changes significantly, and gases are released inside or outside the battery. These gases usually include hydrogen, carbon monoxide, carbon dioxide, methane, ethylene, etc. Their generation and concentration changes are closely related to the severity and stage of thermal runaway.

[0033] Mid-term: The battery surface temperature rises significantly, the pressure relief valve opens, and thermal decomposition produces an aerosol containing a large amount of flammable gas.

[0034] Late stage: It enters a completely out-of-control state. Once entering this stage, a large amount of thick smoke is produced, and some batteries will also produce flames and explode.

[0035] Equipment using lithium batteries has certain safety protection measures, but it cannot guarantee that lithium batteries will not encounter unexpected situations. In warehouses where lithium batteries are stored, logistics warehouses that use a large number of lithium batteries as power equipment, warehouses or parking lots for electric bicycles, energy storage power stations and other places (hereinafter referred to as "application sites"), it is increasingly important to monitor the thermal runaway of lithium batteries, especially when the space of the application site is large and the location of the battery is uncertain. It is necessary to quickly monitor the thermal runaway of the battery and be able to quickly locate the battery with thermal runaway in order to carry out fire rescue.

[0036] In view of this, the embodiment of the present application provides a gas detection method. For scenarios where batteries need to be used on a large scale, by sampling gas at each sampling position, real-time monitoring of the battery corresponding to each sampling position is achieved, so as to timely discover and handle battery abnormalities. At the same time, by performing gas detection at each sampling position, it is helpful to accurately determine the location of the abnormal battery, thereby improving the accuracy of detection. Furthermore, by detecting the gas type and concentration at the location of the battery, it is possible to accurately identify whether the battery is abnormal. Batteries often release specific gases (such as hydrogen, carbon monoxide, carbon dioxide, etc.) in abnormal conditions (such as overheating, short circuit, leakage, etc.). By detecting the presence and concentration of these gases, safety hazards of the battery can be discovered in a timely manner to prevent serious accidents such as fire and explosion.

[0037] See also Figure 1 , Figure 1 A schematic diagram of an application scenario provided for the present application. A plurality of battery devices 11 and a gas detection device are placed on the ground. The gas detection device includes a plurality of sampling valves 121. The sampling valves 121 are connected by pipes 122. One end of the pipe 122 is a gas analysis unit 123, and the other end is a sampling valve 121. In the middle of the two ends of the pipe 122, there are a plurality of sampling valves 121. Each sampling valve 121 in the gas detection device corresponds to at least one battery device 11 on the ground, and one battery device 11 corresponds to only one sampling valve 121. It is worth noting that, according to the on-site requirements of the application site, different gas path branches can be configured to adapt to the on-site layout of the application site, while saving pipelines and shortening the time for collecting gas.

[0038] See also Figure 2 The embodiment of the present application provides a method for detecting gas generated by battery runaway, which is applied to a device for detecting gas generated by battery runaway. The method for detecting gas generated by battery runaway is performed by an electronic device, and the method includes: Step S201, obtaining the current position to be sampled.

[0039] Among them, one sampling position corresponds to at least one monitoring space, one monitoring space includes at least one battery device, the battery device is a battery or a device using a battery, and one sampling position corresponds to a sampling valve. The pipeline end corresponding to the gas analysis unit can be used as the starting detection end, and according to the position of each sampling valve on the pipeline, the sampling position corresponding to each sampling valve is sampled in turn, and the position that needs to be sampled at the current moment is the current position to be sampled.

[0040] Step S202: Control the current sampling valve corresponding to the current sampling position to be sampled to open, and control other sampling valves except the current sampling valve to close.

[0041] In order to sample the gas corresponding to the current position to be sampled, and only sample the gas corresponding to the current position to be sampled, the valve between the current position to be sampled and the battery corresponding to the current position to be sampled can be controlled to open, and the valves between the remaining sampling positions and their respective corresponding batteries can be controlled to close, so as to achieve detection of only the gas corresponding to the current position to be sampled.

[0042] More specifically, the first valve is used to connect the first pipeline with the second pipeline or the second pipeline with the third pipeline. When the first valve is in the first position, the second pipeline is connected to the third pipeline, and the first pipeline is isolated from the other pipelines. When the first valve is in the second position, the first pipeline is connected to the third pipeline, and the second pipeline is isolated from the other pipelines. For example, see Figure 3 , the figure shows the first valve V1, the second valve V2, the first pipeline P1, the second pipeline P2 and the third pipeline P3 corresponding to the position to be detected.

[0043] When sampling the current position to be sampled, it is necessary and only the gas corresponding to the current position to be sampled is sampled, and the valve between the current position to be sampled and the battery corresponding to the current position to be sampled can be controlled to open, and the valves between the remaining sampling positions and the batteries corresponding to them can be controlled to close. Specifically, the electronic device controls the first valve (V1) in the current sampling valve to switch from the first position to the second position, so that the first pipeline (P1) is connected to the third pipeline (P3).

[0044] Furthermore, the sampling positions other than the current sampling position are determined as the remaining sampling positions, and the first valve (V1) of the sampling valve corresponding to each remaining sampling position is controlled to switch to the first position, so that the third pipeline (P3) corresponding to the remaining sampling position is isolated from the second pipeline (P2) corresponding to the adjacent remaining sampling position.

[0045] Step S203: After the current sampling valve is opened and other sampling valves are closed, the air extraction unit is controlled to start.

[0046] After the current sampling valve is opened and other sampling valves are closed, the gas corresponding to the current position to be sampled will diffuse into the pipeline. If the battery corresponding to the current position to be sampled has an abnormality, abnormal gas will be generated. The abnormal gas diffuses through the pipeline to the gas analysis unit to determine that the battery corresponding to the current position to be sampled has an abnormality. However, the time required to determine whether the battery corresponding to the current position to be sampled has an abnormality is too long based on the diffusion speed of the gas itself. In order to reduce the time to determine whether the battery has an abnormality, the pressure in the pipeline can be reduced to speed up the gas corresponding to the current position to be sampled to enter the pipeline. Specifically, after the current sampling valve corresponding to the current position to be sampled is closed, the exhaust unit can be controlled to start to extract the gas in the pipeline, reduce the pressure in the pipeline, and speed up the gas corresponding to the current position to be sampled to enter the pipeline, thereby reducing the time to determine whether the battery has an abnormality.

[0047] Step S204: Detect and analyze the gas extracted from the current sampling position, and receive the gas type corresponding to the current sampling position and the gas concentration corresponding to each gas type.

[0048] After the control unit is started, since the current sampling valve is in a closed state, the gas in the current pipeline corresponds to the gas at the current sampling position, so the gas in the pipeline can be analyzed to determine whether there is abnormal gas. Specifically, the gas pumped to the sampling position is detected and analyzed, and the gas type corresponding to the gas in the current pipeline and the gas concentration corresponding to each gas type obtained by the gas analysis unit are received to obtain the gas type corresponding to the current sampling position and the gas concentration corresponding to each gas type.

[0049] Step S205: determining whether an abnormality occurs in the battery device corresponding to the current position to be sampled based on the gas type corresponding to the current position to be sampled and the gas concentration corresponding to each gas type.

[0050] Since the battery will release hydrogen, carbon monoxide, alkane organic gas (acetylene, methane) and other gases during thermal runaway, but the release of these gases does not occur at the same time, the runaway stage of the lithium battery can be known through accurate analysis of the gas concentration. Therefore, when the current sampling position and the corresponding gas type are obtained and the gas concentration corresponding to each gas type is viewed, the gas type released by the battery device corresponding to the current sampling position at each stage of thermal runaway and the concentration corresponding to the gas type can be obtained to determine whether the battery device corresponding to the current sampling position has an abnormality. Among them, the order in which different types of batteries release gases during thermal runaway may be different. Therefore, the gas type released by the battery device corresponding to the current sampling position at each stage of thermal runaway and the concentration corresponding to the gas type can be obtained.

[0051] A possible implementation of the embodiment of the present application is that in the above step S204, the gas extracted from the current sampling position is detected and analyzed, including: Get the pipeline detection length corresponding to the current sampling position; Determine the pumping pressure and pumping time based on the pipeline detection length; After the gas extraction time has elapsed, the gas analysis unit is controlled to analyze and detect the gas in the pipeline corresponding to the current sampling position.

[0052] Since there are multiple batteries in the application site, when they are connected together through pipelines, the cross-sectional areas of various positions on the pipelines are basically the same. Facing the same starting point and end point, the pipeline lengths corresponding to the batteries at different positions may be different after the valve is opened. When the same vacuum device is used for vacuuming for the same length of time in pipelines with different lengths, the gas content at the current position to be sampled in the pipeline is also different. Therefore, by obtaining the length of the pipeline corresponding to the current position to be sampled and determining the vacuuming time, the gas content at the current position to be sampled in pipelines with different lengths can be made as similar as possible to reduce the detection error. Specifically, the starting position of the pipeline is obtained, and based on the length between the current position to be sampled and the starting position, the pipeline detection length corresponding to the current position to be sampled is obtained, the preset diffusion rate and the cross-sectional area of ​​the pipeline are obtained, and based on the current volume of the pipeline = cross-sectional area * pipeline detection length, the current volume of the pipeline is obtained, and based on the pumping time = current volume of the pipeline / preset diffusion rate, the pumping time is obtained, wherein the preset pumping rate represents the volume of gas diffused from the current position to be sampled per unit time under standard conditions (such as standard atmospheric pressure, standard temperature, etc.), and the starting position of the pipeline is the position of the gas analysis unit.

[0053] Furthermore, when the sampling valve is blocked, the process of the air extraction unit pumping gas to the sampling position may increase the pressure inside the pipeline, resulting in a certain air extraction pressure. Therefore, the pressure inside the pipeline can be measured by the pressure detection unit inside the pipeline to obtain the air extraction pressure, and obtain the pressure threshold corresponding to the pipeline detection length. When the air extraction pressure is less than the corresponding pressure threshold, it is determined that the current sampling valve is not blocked; when the air extraction pressure is still less than the corresponding pressure threshold, it is determined that the current sampling valve is blocked. Among them, one pipeline detection length corresponds to one pressure threshold, and the pressure detection unit can be a pressure sensor, which is not limited in the embodiments of the present application.

[0054] Furthermore, when the current sampling valve is not blocked, after the air extraction time is determined, the timing starts from the moment when the current sampling valve corresponding to the current sampling position is closed, and after the air extraction time has passed, the gas analysis unit is controlled to analyze the gas in the pipeline corresponding to the current sampling position. When the current sampling valve is not blocked, an abnormal alarm message is generated.

[0055] A possible implementation of the embodiment of the present application is to determine whether an abnormality occurs in the battery device corresponding to the position to be detected based on the gas type corresponding to the current position to be sampled and the gas concentration corresponding to each gas type in the above step S205, including: Get the pipeline detection length corresponding to the current sampling position; Based on the pipeline detection length, obtain the standard concentration corresponding to each gas type; Determine whether the gas concentration corresponding to each gas type is greater than the corresponding standard concentration; If the gas concentration corresponding to the gas type is greater than the corresponding standard concentration, it is determined that the battery device corresponding to the position to be detected is abnormal; If there is no gas type whose gas concentration is greater than the corresponding standard concentration, it is determined that the battery device corresponding to the position to be detected has no abnormality.

[0056] Among them, a database containing gas types (such as hydrogen, carbon monoxide, etc.) and standard concentrations corresponding to each pipeline queue is preset.

[0057] Get the position of the gas analysis unit in the pipeline, and based on the length between the current sampling position and the position of the gas analysis unit, get the pipeline detection length corresponding to the current sampling position, and based on the pipeline detection length corresponding to the detection position, get the standard concentration of each gas type corresponding to it from the preset database to compare the current gas concentration with the standard concentration. If the current gas concentration is greater than the standard concentration, record the gas type as an abnormal gas. If there is an abnormal gas, that is, the concentration of at least one gas exceeds its standard concentration, it is judged that the battery device corresponding to the current sampling position is abnormal. If the concentration of all gases does not exceed their standard concentrations, it is judged that the battery device corresponding to the current sampling position is not abnormal.

[0058] In another possible implementation of the embodiment of the present application, in the above embodiment, when it is determined that the battery device corresponding to the position to be detected is abnormal, the method may further include: Get the previous sampling position and the next sampling position at the current sampling position; The current sampling position, the previous sampling position and the next sampling position are all determined as abnormal sampling positions; The detection frequency of the abnormal sampling position is re-determined, and a sampling detection order is generated based on the re-determined detection frequency of the abnormal sampling position.

[0059] Specifically, after detecting that the battery device at the current position to be sampled is abnormal, the information of the previous sampling position and the next sampling position of the position is obtained, and the three positions (current position, previous position, and next position) are all marked as abnormal sampling positions. More specifically, the pipeline end corresponding to the gas analysis unit can be used as the starting end, and the sampling valves of the pipeline can be sorted according to the position of each sampling valve on the pipeline to obtain a sampling sequence, so that based on the current position to be sampled, the sampling position adjacent to the current sampling position is obtained from the sampling sequence as the previous sampling position and the next sampling position corresponding to the current position to be sampled.

[0060] In the process of sampling the sampling positions of the pipeline, there is a sampling sequence. According to the sampling sequence (for example, taking the pipeline end corresponding to the gas analysis unit as the starting end, sampling the sampling positions corresponding to the sampling valves of the pipeline in turn according to the position of each sampling valve on the pipeline, and looping), the next sampling position corresponding to the current position to be sampled is determined, that is, after the sampling of the current position to be sampled is completed, the next sampling position needs to be sampled. At this time, the detection frequency corresponding to each sampling position is the same, which is 1 / the total number of detections. When an abnormality occurs in the battery device corresponding to the current position to be sampled, and the current position to be sampled, the previous sampling position and the next sampling position are all used as abnormal sampling positions, in order to strengthen the detection of the abnormal sampling positions, the detection frequency of the abnormal sampling positions can be increased. Specifically, for each abnormal sampling position, the historical abnormal number and current frequency corresponding to the abnormal sampling position are obtained from the sampling database, and it is determined whether the historical abnormal number is greater than the preset number threshold. If the number of historical abnormalities corresponding to the abnormal sampling position is not greater than the preset number threshold, the first proportional coefficient is multiplied by the current frequency to re-determine the detection frequency corresponding to the abnormal sampling position; if the number of historical abnormalities corresponding to the abnormal sampling position is greater than the preset number threshold, the second proportional coefficient is multiplied by the current frequency to re-determine the detection frequency corresponding to the abnormal sampling position. The preset number threshold, the first proportional coefficient and the second proportional coefficient can be set according to actual conditions, and the embodiments of the present application are not limited thereto.

[0061] Further, according to the detection frequency corresponding to the re-determined abnormal sampling position, the detection frequency corresponding to each sampling position is obtained, and the detection frequency corresponding to each sampling position is input into the trained deep network learning model, and the sampling detection order output by the deep network learning model is obtained, wherein the deep network learning model is trained with a large number of detection frequency samples of the sampling positions and the corresponding sampling detection order samples. Exemplarily, the detection frequency corresponding to each sampling position may be 1 / 5 of the detection frequency corresponding to sampling position A, 2 / 5 of the detection frequency corresponding to sampling position B, and 2 / 5 of the detection frequency corresponding to sampling position C, and the detection frequency corresponding to the sampling position is input into the trained deep network learning model, and the sampling detection order output by the deep network learning model is obtained as sampling position B-sampling position C-sampling position A-sampling position B-sampling position C.

[0062] Furthermore, the detection priorities of all sampling locations are recalculated according to the updated detection frequencies, and a new sampling detection order is generated based on these priorities.

[0063] A possible implementation of the embodiment of the present application, in the above embodiment, re-determines the detection frequency of the abnormal sampling position, and generates a sampling detection order based on the re-determined detection frequency of the abnormal sampling position, including: Obtain the total number of abnormalities and the total number of detections corresponding to the abnormal sampling position and the remaining sampling positions, where the remaining sampling positions are the sampling positions other than the abnormal sampling position; Based on the total number of abnormalities and the total number of detections corresponding to the abnormal sampling position and the remaining sampling positions, and based on Formula 1: The abnormal first duty cycle corresponding to the abnormal sampling position is calculated based on Formula 2: The remaining first duty cycles corresponding to the remaining sampling positions are calculated, the abnormal first duty cycle is used to characterize the degree of sampling abnormality corresponding to the abnormal sampling position, and the remaining first duty cycles are used to characterize the degree of sampling abnormality corresponding to the remaining sampling positions, wherein, is the abnormal first duty cycle, is the remaining first duty cycle, A i is the i-th abnormal sampling position, B i is the i-th remaining sampling position, is the total number of abnormalities corresponding to the ith abnormal sampling position, is the total number of detections corresponding to the i-th abnormal sampling position, is the total number of abnormalities corresponding to the remaining sampling positions of the ith is the total number of detections corresponding to the i-th remaining sampling positions; obtain the number of battery devices corresponding to each sampling position, and based on the number of battery devices corresponding to each sampling position, determine the abnormal second duty ratio corresponding to the abnormal sampling position and the remaining second duty ratios corresponding to the remaining sampling positions, the abnormal second duty ratio is used to characterize the sampling ratio corresponding to the abnormal sampling position, and the remaining second duty ratios are used to characterize the sampling ratios corresponding to the remaining sampling positions; Obtain the current sampling detection order, and based on the current sampling detection order, determine the current detection frequency corresponding to each sampling position; based on each current detection frequency, the abnormal first duty cycle, the abnormal second duty cycle, the remaining first duty cycles, and the remaining second duty cycles, and based on Formula 3: Re-determine the detection frequency corresponding to the abnormal sampling position, and based on Formula 4: Re-determine the detection frequencies corresponding to the remaining sampling positions, where is the detection frequency corresponding to the i-th abnormal sampling position, is the current detection frequency corresponding to the i-th abnormal sampling position, K1 is the coefficient corresponding to the first abnormal duty cycle, D Amax for The maximum value in, K2 is the coefficient corresponding to the abnormal second duty cycle, D i1 is the abnormal second duty cycle corresponding to the ith abnormal sampling position, D i1 The mean of, X1 is the first adjustment coefficient, is the detection frequency corresponding to the i-th remaining sampling position, is the current detection frequency corresponding to the i-th remaining sampling position, K3 is the coefficient corresponding to the remaining first duty cycle, D Bmax D Bi The maximum value of K4 is the coefficient corresponding to the remaining second duty cycle, D i2 is the second duty cycle of the region corresponding to the i-th remaining sampling position, D i2 The mean of , X2 is the second adjustment coefficient; A sampling detection order is generated based on the re-determined detection frequency of the abnormal sampling position and the detection frequencies corresponding to the remaining sampling positions.

[0064] Specifically, historical detection data corresponding to each sampling position is obtained from the sampling database, and the historical detection data includes the number of detections and the corresponding detection results, and the detection results are normal or abnormal. Based on the number of detections corresponding to each remaining sampling position and the number of times the detection results are abnormal in the historical detection data, the total number of abnormalities and the total number of detections corresponding to each remaining sampling position are obtained; and based on the number of detections corresponding to each abnormal sampling position in the historical detection data, the total number of abnormalities corresponding to each abnormal sampling position is obtained, and based on the number of detections corresponding to each abnormal sampling position in the historical detection data, the number of times the detection results corresponding to each abnormal sampling position are abnormal, and the number of times the detection results are abnormal is added by 1, so as to obtain the total number of abnormalities corresponding to each abnormal sampling position.

[0065] In order to concentrate the detection resources on the sampling positions where abnormalities occur more frequently, the detection frequency corresponding to the abnormal sampling position can be re-determined based on the total number of abnormalities and the total number of detections corresponding to the abnormal sampling position and the remaining sampling positions. Specifically, for each abnormal sampling position, the total number of abnormalities and the total number of detections corresponding to the abnormal sampling position are substituted into Formula 1 to obtain the degree of sampling abnormality of the abnormal sampling position, that is, the abnormal first duty cycle. Similarly, for each remaining sampling position, the total number of abnormalities and the total number of detections corresponding to the remaining sampling position are substituted into Formula 2 to obtain the degree of sampling abnormality of the remaining sampling position, that is, the remaining first duty cycle.

[0066] Since the battery equipment in the warehouses storing lithium batteries, the logistics warehouses using lithium batteries as power equipment in large quantities, the warehouses or parking lots of electric bicycles, etc. may not be placed according to a certain rule, the number of battery equipment placed in the monitoring space corresponding to different sampling valves may be different, that is, the number of battery equipment corresponding to different sampling positions may be different. The more battery equipment corresponding to the same sampling position, the greater the possibility of abnormality in the sampling position to a certain extent. Therefore, the sampling ratio corresponding to each abnormal sampling position and each remaining sampling position can be determined based on the number of battery equipment corresponding to each sampling position. Specifically, the number of battery equipment corresponding to each sampling position is obtained from the sampling database, and the sum of the number of battery equipment is calculated. Based on the abnormal second duty ratio = the number of battery equipment corresponding to the abnormal sampling position / the number of electronic devices, the abnormal second duty ratio corresponding to each abnormal sampling position is calculated; similarly, based on the remaining second duty ratio = the number of battery equipment corresponding to the remaining sampling position / the number of electronic devices, the remaining second duty ratio corresponding to each remaining sampling position is calculated. Among them, the sampling database records the number of battery devices corresponding to each sampling position. When the staff adjusts the battery equipment, the staff needs to record the adjusted number and the sampling position corresponding to the adjusted electronic device on the electronic device. The electronic device adjusts the data in the sampling database according to the data recorded by the staff.

[0067] In order to adjust the detection frequency of abnormal sampling positions, the current sampling detection sequence can be first obtained from the sampling database, and based on the current sampling detection sequence, the current detection frequency corresponding to each sampling position can be determined. Specifically, for each sampling position, the number of detections of the sampling position in the current sampling detection sequence is identified, and based on the total number of detections in the current sampling detection sequence, the current detection frequency corresponding to the sampling position is determined. More specifically, the current detection frequency corresponding to the sampling position can be obtained based on the current detection frequency = detection number / total detection number, thereby obtaining the current detection frequency corresponding to each sampling position.

[0068] Further, after obtaining the current detection frequency corresponding to each sampling position, the abnormal first duty cycle and the abnormal second duty cycle corresponding to each abnormal sampling position, and the remaining first duty cycle and the remaining second duty cycle corresponding to each remaining sampling position, the detection frequency corresponding to each abnormal sampling position can be re-determined based on the current detection frequency corresponding to each sampling position, the abnormal first duty cycle and the abnormal second duty cycle corresponding to each abnormal sampling position, and the detection frequency corresponding to each remaining sampling position can be re-determined based on the current detection frequency corresponding to each sampling position, the remaining first duty cycle and the remaining second duty cycle corresponding to each remaining sampling position. Specifically, for each abnormal sampling position, the current detection frequency, the abnormal first duty cycle and the abnormal second duty cycle corresponding to the abnormal sampling position can be substituted into the third formula to obtain the re-determined detection frequency corresponding to the abnormal sampling position. More specifically, the current detection frequency, the abnormal first duty cycle and the abnormal second duty cycle corresponding to the abnormal sampling position can be substituted into the third formula to obtain the re-determined detection frequency corresponding to the abnormal sampling position. Calculated That is, the detection frequency corresponding to the abnormal sampling position is re-determined. Similarly, the detection frequency corresponding to each abnormal sampling position can be re-determined based on the above method. Among them, K1 is the coefficient corresponding to the abnormal first duty cycle, K2 is the coefficient corresponding to the abnormal second duty cycle, K1 and K2 can be set according to actual conditions, and K1+K2=1. In order to ensure that even positions with very low duty cycles have a certain detection frequency, X1 is added to Formula 3, where X1 is the first adjustment coefficient. X1 can be 0 or 1, and the embodiments of the present application are not limited to this.

[0069] For each remaining sampling position, the current detection frequency, the remaining first duty cycle, and the remaining second duty cycle corresponding to the remaining sampling position can be substituted into the fourth formula to obtain the re-determined detection frequency corresponding to the remaining sampling position. More specifically, the current detection frequency, the remaining first duty cycle, and the remaining second duty cycle corresponding to the remaining sampling position can be substituted into the fourth formula to obtain the re-determined detection frequency corresponding to the remaining sampling position. Calculated That is, the detection frequency corresponding to the remaining sampling positions is re-determined. Similarly, based on the above method, the detection frequency corresponding to each remaining sampling position can be re-determined. Among them, K3 is the coefficient corresponding to the remaining first duty cycle, K4 is the coefficient corresponding to the remaining second duty cycle, K3 and K4 can be set according to actual conditions, and K3+K4=1, X2 is the second adjustment coefficient.

[0070] Furthermore, after obtaining the detection frequency of the re-determined abnormal sampling position and the detection frequencies corresponding to the remaining sampling positions, the detection frequency of the re-determined abnormal sampling position and the detection frequencies corresponding to the remaining sampling positions can be input into the trained deep network learning model, and the sampling detection order output by the deep network learning model can be obtained.

[0071] Furthermore, when the battery device corresponding to the current sampling position is abnormal, the current sampling valve corresponding to the current sampling position is controlled to be closed, and based on the sampling detection sequence, the next sampling position is obtained, and the next sampling valve corresponding to the next sampling position is controlled to be opened.

[0072] Specifically, after determining whether the battery corresponding to the current position to be sampled has an abnormality, if the battery corresponding to the current position to be sampled has not an abnormality, the next position to be sampled that is ahead of the current position to be sampled is obtained from the sampling detection sequence, and the gas corresponding to the next position to be sampled is continuously analyzed; if the battery corresponding to the current position to be sampled has an abnormality, the gas corresponding to the next position to be sampled still needs to be analyzed after the abnormal instruction is generated. More specifically, if the battery corresponding to the current position to be sampled has an abnormality, after the abnormal instruction is generated, the exhaust device is controlled to start, so that the exhaust device extracts the gas in the pipeline, thereby improving the accuracy of the subsequent analysis of the gas corresponding to the next position to be sampled.

[0073] Furthermore, before analyzing the next position to be sampled, the second valve of the current sampling valve corresponding to the current sampling position is controlled to switch from the second position to the first position, so that the current sampling valve is opened. And in the order from the gas analysis unit as the starting point to the other end of the pipeline, the next position to be sampled after the current position to be sampled is used as the next position to be sampled.

[0074] Furthermore, the second valve of the next sampling valve corresponding to the next position to be sampled is controlled to switch from the first position to the second position, so that the next sampling valve is closed.

[0075] In another possible implementation of the embodiment of the present application, in the above embodiment, when the gas concentration corresponding to the gas type exists and is greater than the corresponding standard concentration, the method further includes: Determine the gas type whose gas concentration is greater than the corresponding standard concentration as the target gas type; Based on the gas concentration corresponding to the target gas type, determine the abnormality degree of the battery corresponding to the current sampling position; Generate an exception instruction based on the current position to be sampled and the degree of abnormality.

[0076] Specifically, the detected gas types and corresponding gas concentrations are traversed, and the gas concentrations are compared with the corresponding standard concentrations. If the concentration of a certain gas type is greater than its standard concentration, it is determined to be the target gas type.

[0077] Furthermore, for each target gas type and the gas concentration corresponding to each target gas type, the released gas change curve of the battery corresponding to the current sampling position is compared to determine the duration of the battery corresponding to the current sampling position being in the heat release state, thereby determining the degree of abnormality of the battery corresponding to the current sampling position. Among them, the longest duration, the greater the degree of abnormality of the battery corresponding to the current sampling position.

[0078] Furthermore, after determining that the battery corresponding to the current sampling position has an abnormality, based on the abnormality degree of the battery corresponding to the current sampling position, an abnormal instruction including the current sampling position and the abnormality degree is generated to remind the staff to detect the battery corresponding to the current sampling position.

[0079] See also Figure 4 The second embodiment of the present application provides a gas detection device 40, including: a sampling module 410 and a detection module, specifically: The sampling module 410 may be specifically used to sample the gas corresponding to each sampling position; The detection module 420 can be specifically used to detect the gas sampled by the sampling module to obtain the gas type corresponding to each sampling position and the gas concentration corresponding to each gas type.

[0080] The sampling module 410 may specifically include: Pipe 411, used to provide a path for gas; A plurality of sampling valves 412, the sampling valves 412 are two-position three-way valves, connected through pipelines 411, each two-position three-way valve corresponds to at least one battery device, and is used to sample the gas corresponding to the battery device; The gas extraction unit 413 is used to suck the gas at the corresponding position of the sampling valve 412 into the pipeline, and extract the gas to the gas analysis unit 421 by relying on the suction force generated.

[0081] The detection module 420 may specifically include: The gas analysis unit 421 is used to analyze the type and concentration of the gas in the pipeline 411 and is located at the same end of the pipeline as the gas extraction unit 413; The control unit 422 is used to control the opening and closing of the sampling valve 412, the operation of the gas extraction unit 413 and the gas analysis unit 421; The power supply unit 423 is used to provide electrical energy to the control unit 422 , the gas extraction unit 413 , the gas analysis unit 421 and the sampling valve 412 .

[0082] The pipeline 411 may be a hose.

[0083] The sampling valve 412 may be a two-position three-way valve, and a plurality of two-position three-way valves are sequentially connected through a pipeline 411. The gas analysis unit 421 and the air extraction unit 413 are connected to the second valve of the first two-position three-way valve through a pipeline 411. The third valve of the first two-position three-way valve is connected to the second valve of the second two-position three-way valve through a pipeline 411. The first valve of the first two-position three-way valve is connected to the first battery through a pipeline 411. The first valve of the second two-position three-way valve is connected to the second battery device through a pipeline 411. The third valve of the second two-position three-way valve is connected to the second valve of the third two-position three-way valve through a pipeline 411. By analogy, a plurality of two-position three-way valves are sequentially connected through the pipeline 411. The third valve of the last two-position three-way valve is connected to the pipeline 411, and the end of the pipeline 411 is closed.

[0084] Specifically, the gas analysis unit may be composed of a carbon monoxide sensor, a methane sensor, a hydrogen sensor, an acetylene sensor, and a smoke sensor.

[0085] Among them, the carbon monoxide sensor: can use an infrared gas sensor module to detect CO and CO2 respectively, use high-performance probes and special processes to process the gas chamber constant temperature detection, and has the characteristics of high accuracy (1000ppm, resolution 0.1ppm) and fast response (less than 8s).

[0086] Methane sensor: Based on tunable laser gas absorption spectroscopy (TD-LAS), it uses 1653.7nm laser to perform characteristic "fingerprint spectrum" absorption detection on methane gas, and is resistant to interference from water vapor or other gases; it adopts a folded optical path structure design, with a long absorption optical path, high detection sensitivity and accuracy; it uses lasers and photodetector devices with excellent low-temperature performance and a wide-temperature temperature compensation correction algorithm, with strong environmental applicability; it has a range of 5000ppm, an accuracy of 10ppm, digital output, and a long life.

[0087] Hydrogen sensor: It uses semiconductor sensor from FIGARO of Japan. This sensor has fast response, low power consumption, small size, filtering measures, and is minimally affected by interfering gases such as alcohol and carbon monoxide, but has high selectivity for hydrogen. The detection range is 3000ppm, and the resolution is 100ppm.

[0088] Acetylene sensor: The electrochemical gas sensor is based on the electrochemical working principle, using C2H2 to undergo an oxidation reaction on the working electrode of the electrolytic cell and a reduction reaction on the counter electrode to generate an induced current, which is proportional to the concentration, thereby determining the concentration of the gas to be measured. The sensor has low power consumption, high precision, high sensitivity, wide linear range, excellent repeatability and stability. The sensor has a range of 2000ppm and a resolution of 1ppm.

[0089] Smoke sensor: The smoke sensor uses the infrared scattering principle to effectively monitor the dust concentration, temperature and other indicators released before the battery thermal runaway is triggered, and outputs a digital signal. This solution has the remarkable characteristics of accurate measurement, fast response time, less cross interference, low power consumption, long life and high reliability.

[0090] The suction module can be a suction fan. The length of the pipeline in the application site may be tens of meters or even hundreds of meters. The speed of natural diffusion of gas is too slow, which affects real-time detection. Therefore, the suction module can be used to quickly draw the gas in the pipeline to the gas buffer chamber of the detection equipment, speed up the gas diffusion speed, and can adjust the speed in real time according to the length of the gas path.

[0091] The control unit 422 may include valve control circuitry and bus communication circuitry.

[0092] The detection module 420 may further include a pressure detection unit, which is used to measure the pressure inside the pipeline to facilitate determining the blockage condition of the sampling valve.

[0093] See also Figure 5 The third embodiment of the present application further provides a gas detection system 5, comprising: the gas detection device 40 of the above embodiment and an electronic device 50.

[0094] Specifically, a gas detection system 5 comprises: The gas detection device 40 as in the above embodiment; Electronic device 50.

[0095] In a possible implementation, the electronic device 50 may include: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the gas detection method of the first aspect of the embodiment of the present application.

[0096] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0097] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for detecting gas generated by battery runaway, characterized in that: A detection device for gas generated by battery runaway is applied. The detection method for gas generated by battery runaway is performed by an electronic device. The method comprises: obtaining a current position to be sampled, where one sampling position corresponds to one monitoring space, and one monitoring space includes at least one battery device, where the battery device is a battery or a device using a battery; Controlling the current sampling valve corresponding to the current sampling position to be sampled to open, and controlling other sampling valves except the current sampling valve to close; After the current sampling valve is opened and other sampling valves are closed, controlling the air extraction unit to start; Detect and analyze the gas extracted from the current sampling position, receive the gas type corresponding to the current sampling position and the gas concentration corresponding to each gas type; Based on the gas type corresponding to the current position to be sampled and the gas concentration corresponding to each gas type, it is determined whether an abnormality occurs in the battery device corresponding to the current position to be sampled.

2. The method for detecting gas generated by battery runaway according to claim 1, characterized in that: The detecting and analyzing of the gas extracted from the current sampling position includes: Get the pipeline detection length corresponding to the current sampling position; Determine the pumping pressure and the pumping time based on the pipeline detection length; After the gas extraction time has elapsed, the gas analysis unit is controlled to analyze and detect the gas in the pipeline corresponding to the current sampling position.

3. The method for detecting gas generated by battery runaway according to claim 1, characterized in that: The determining whether an abnormality occurs in the battery device corresponding to the position to be detected based on the gas type corresponding to the current position to be sampled and the gas concentration corresponding to each gas type includes: Get the pipeline detection length corresponding to the current sampling position; Based on the pipeline detection length, obtaining the standard concentration corresponding to each gas type; Determine whether the gas concentration corresponding to each gas type is greater than the corresponding standard concentration; If the gas concentration corresponding to the gas type is greater than the corresponding standard concentration, it is determined that the battery device corresponding to the position to be detected is abnormal; If there is no gas type whose gas concentration is greater than the corresponding standard concentration, it is determined that no abnormality occurs in the battery device corresponding to the position to be detected.

4. The method for detecting gas generated by battery runaway according to claim 3, characterized in that: When it is determined that an abnormality occurs in the battery device corresponding to the position to be detected, the method may further include: Acquire a previous sampling position and a next sampling position located at the current position to be sampled; Determine the current sampling position, the previous sampling position, and the next sampling position as abnormal sampling positions; The detection frequency of the abnormal sampling position is re-determined, and a sampling detection sequence is generated based on the re-determined detection frequency of the abnormal sampling position.

5. The method for detecting gas generated by battery runaway according to claim 4, characterized in that: The re-determining the detection frequency of the abnormal sampling position and generating a sampling detection order based on the re-determined detection frequency of the abnormal sampling position includes: Obtaining the total number of abnormalities and the total number of detections corresponding to the abnormal sampling position and the remaining sampling positions, respectively, wherein the remaining sampling positions are sampling positions other than the abnormal sampling position; Based on the total number of abnormalities and the total number of detections corresponding to the abnormal sampling position and the remaining sampling positions, and based on Formula 1: The abnormal first duty cycle corresponding to the abnormal sampling position is calculated based on Formula 2: The remaining first duty cycles corresponding to the remaining sampling positions are calculated, the abnormal first duty cycle is used to characterize the degree of sampling abnormality corresponding to the abnormal sampling position, and the remaining first duty cycles are used to characterize the degree of sampling abnormality corresponding to the remaining sampling positions, wherein: is the abnormal first duty cycle, is the remaining first duty cycle, A i is the i-th abnormal sampling position, B i is the i-th remaining sampling position, is the total number of abnormalities corresponding to the i-th abnormal sampling position, is the total number of detections corresponding to the i-th abnormal sampling position, is the total number of abnormalities corresponding to the remaining sampling positions of the ith is the total number of detections corresponding to the remaining sampling positions of the i-th; Obtain the number of battery devices corresponding to each sampling position, and determine the abnormal second duty ratio corresponding to the abnormal sampling position and the remaining second duty ratios corresponding to the remaining sampling positions based on the number of battery devices corresponding to each sampling position, wherein the abnormal second duty ratio is used to characterize the sampling ratio corresponding to the abnormal sampling position, and the remaining second duty ratios are used to characterize the sampling ratios corresponding to the remaining sampling positions; Obtaining a current sampling detection order, and determining a current detection frequency corresponding to each sampling position based on the current sampling detection order; Based on each of the current detection frequencies, the abnormal first duty cycle, the abnormal second duty cycle, the remaining first duty cycles, and the remaining second duty cycles, and based on Formula 3: The detection frequency corresponding to the abnormal sampling position is re-determined based on Formula 4: Re-determine the detection frequencies corresponding to the remaining sampling positions, wherein: is the detection frequency corresponding to the i-th abnormal sampling position, is the current detection frequency corresponding to the i-th abnormal sampling position, K1 is the coefficient corresponding to the first abnormal duty cycle, for The maximum value in, K2 is the coefficient corresponding to the abnormal second duty cycle, D i1 is the abnormal second duty cycle corresponding to the ith abnormal sampling position, D i1 The mean of, X1 is the first adjustment coefficient, is the detection frequency corresponding to the i-th remaining sampling position, f DBi is the current detection frequency corresponding to the i-th remaining sampling position, K3 is the coefficient corresponding to the remaining first duty cycle, D Bmax D Bi The maximum value of K4 is the coefficient corresponding to the remaining second duty cycle, D i2 is the second duty cycle of the area corresponding to the i-th remaining sampling position, D i2 D i2 The mean of , X2 is the second adjustment coefficient; A sampling detection sequence is generated based on the re-determined detection frequency of the abnormal sampling position and the detection frequencies corresponding to the remaining sampling positions.

6. The method for detecting gas generated by battery runaway according to claim 3, characterized in that: When the gas concentration corresponding to the existing gas type is greater than the corresponding standard concentration, the method further includes: Determine the gas type whose gas concentration is greater than the corresponding standard concentration as the target gas type; Based on the gas concentration corresponding to the target gas type, the abnormality degree of the battery corresponding to the current position to be sampled is determined; based on the current position to be sampled and the abnormality degree, an abnormal instruction is generated.

7. A device for detecting gas generated by battery runaway, characterized in that: The device comprises: A sampling module, wherein the sampling module is used to sample the gas corresponding to each sampling position; A detection module is used to detect the gas sampled by the sampling module to obtain the gas type corresponding to each sampling position and the gas concentration corresponding to each gas type.

8. The device for detecting gas generated by battery runaway according to claim 7, characterized in that: The sampling module comprises: Pipes, which provide a path for the gas; A plurality of sampling valves, wherein the sampling valves are two-position three-way valves, connected in series through pipelines, each two-position three-way valve corresponds to at least one battery device and is used to sample the gas generated by the battery device; The gas extraction unit is used to suck the gas at the corresponding position of the sampling valve into the pipeline, and rely on the suction force generated to draw the gas to the gas analysis unit.

9. The device for detecting gas generated by battery runaway according to claim 7, characterized in that: The detection module comprises: A gas analysis unit, used to analyze the type and concentration of the gas in the pipeline, and located at the same end of the pipeline as the gas extraction unit; a control unit, used to control the opening and closing of the sampling valve, the operation of the gas extraction unit and the gas analysis unit; A power supply unit is used to provide electrical energy to the control unit, the gas extraction unit, the gas analysis unit and the sampling valve.

10. A gas detection system for detecting gas generated by battery runaway, characterized in that: The system comprises: A gas detection device as claimed in any one of claims 7 to 9; Electronic equipment.

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