Multi-state controllable lamp control system of energy storage system

Abstract

The invention discloses a multi-state controllable lamp control system of an energy storage system, and relates to the technical field of energy storage systems.By monitoring the state of a battery, when the battery is abnormal, the temperature distribution of electrolyte in the battery and the internal condition of the battery are monitored and analyzed to confirm the abnormal level of the battery; then, the combination of the turned-on light colors is confirmed, the brightness and the flicker frequency of the controllable lamp are confirmed through the external environment where the battery is located and the prompted distance, flicker of the controllable lamp is monitored during light operation, the flicker effect is fed back, the state of the battery is monitored more accurately, and the reliability of battery state monitoring is improved; through lamplight display, the intuition and visualization of battery state prompting are improved, the lamplight brightness and the flicker frequency are set according to the outdoor environment and the distance needing to be prompted, the clearness of the lamplight brightness and the stability of flicker are guaranteed, and the battery state prompting effect is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage systems, and particularly to a multi-state controllable lamp control system for an energy storage system. Background Art

[0002] In modern power systems, energy storage technology, as an important energy management means, is widely used in fields such as power grid peak shaving, new energy grid connection, and emergency power supplies. The status monitoring and corresponding prompts of the energy storage system can help the staff respond in a timely manner and improve the efficiency of fault repair.

[0003] The existing methods for monitoring the status of energy storage systems mainly include the monitoring of physical quantities such as voltage, current, and temperature, as well as the real-time monitoring of the battery status by the battery management system (BMS). Among them, the BMS can collect parameters such as the voltage, current, and temperature of the battery in real time, and judge the status of the battery through algorithm analysis, such as the charging status, health status, etc. However, when the battery is abnormal, it will cause abnormalities in the electrolyte temperature distribution and chemical reactions. However, in the existing technology, there is a lack of utilization of the electrolyte conditions to monitor the status of the battery, so it is impossible to effectively judge the changes in the electrolyte inside the battery, nor can it more accurately monitor the status of the battery, reducing the reliability of battery status monitoring.

[0004] The results of the existing energy storage system status monitoring are usually only displayed to the operator through a display screen or a computer interface, lacking intuitiveness and visualization, and the display methods are mostly in the form of numbers or texts, which are not intuitive enough. The operator needs to have a certain amount of professional knowledge to accurately understand. There is no control of the flashing of the controllable lamp according to the status of the battery. In addition, the energy storage system is usually set outdoors, and the outdoor light and visibility and other environments affect the brightness of the light. At the same time, the distance between the operator and the battery determines the prompting distance of the light. However, in the existing technology, there is a lack of setting the light brightness and flashing frequency according to the outdoor environment and the required prompting distance, so it is impossible to ensure the clarity of the light brightness and the stability of the flashing, reducing the effect of battery status prompting. Summary of the Invention

[0005] Aiming at the above-mentioned existing technical deficiencies, the purpose of the present invention is to provide a multi-state controllable lamp control system for an energy storage system.

[0006] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a multi-state controllable lamp control system for an energy storage system, including: a battery monitoring module for monitoring the status of the battery and obtaining the status data of the battery.

[0007] A status analysis module for analyzing the status of the battery by using the status data of the battery.

[0008] A controllable lamp control module is used to confirm the color combination of the controllable lamp according to the state of the battery, and at the same time obtain the external environment data corresponding to the battery, and set the brightness and flashing frequency of the controllable lamp.

[0009] A controllable lamp monitoring module is used to set monitoring points at preset length intervals when the controllable lamp is operating, collect the monitoring data of the controllable lamp at each monitoring point, and analyze the flashing effect of the controllable lamp.

[0010] A feedback module is used to give feedback according to the flashing effect of the controllable lamp.

[0011] The beneficial effects of the present invention are as follows: The present application provides a multi-state controllable lamp control system for an energy storage system. By monitoring the state of the battery, when the battery is abnormal, the temperature distribution of the electrolyte in the battery and the internal situation of the battery are monitored and analyzed to confirm the abnormal level of the battery, and then the combination of the turned-on light colors is confirmed. Using the external environment where the battery is located and the indicated distance, the brightness and flashing frequency of the controllable lamp are confirmed, and then the controllable lamp is controlled to operate. During the operation, the flashing of the controllable lamp is monitored and the flashing effect is given feedback. The present application uses the situation of the electrolyte to monitor the state of the battery, can effectively judge the change of the electrolyte in the battery, and can also more accurately monitor the state of the battery, improving the reliability of battery state monitoring. Through the light display, the intuitiveness and visualization of battery state indication are improved. The brightness and flashing frequency of the light are set according to the outdoor environment and the indicated distance, ensuring the clarity of the light brightness and the stability of the flashing, and ensuring the effect of battery state indication. Description of the Drawings

[0012] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0013] Figure 1 It is a schematic diagram of the system structure connection of the present invention. Detailed Embodiments

[0014] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0015] Please refer to Figure 1As shown in the figure, a multi-state controllable lamp control system for an energy storage system includes: a battery monitoring module, a state analysis module, a controllable lamp control module, a controllable lamp monitoring module, and a feedback module.

[0016] The battery monitoring module is used to monitor the state of the battery and obtain the state data of the battery.

[0017] The state data of the battery includes voltage data, current data, and environmental data. The voltage data is the voltage of the battery, the current data is the current of the battery, and the environmental data is the temperature data of the electrolyte, internal gas data, air pressure data, and battery thermal image. Among them, the temperature data of the electrolyte includes the temperature of each detection point in the electrolyte; the internal gas data includes the detected concentration of each gas type and the initial concentration of each gas type; the air pressure data includes the detected air pressure inside the battery and the initial air pressure.

[0018] Among them, the battery is equipped with a battery management system (BMS). The BMS is used to monitor the voltage data, current data, and temperature data of the electrolyte of the battery. The internal gas data is collected by a gas sensor; the air pressure data is collected by an air pressure sensor, and the battery thermal image is collected by a thermal imager. When the battery is first used, the concentration of each gas type and the air pressure inside the battery are collected by the gas sensor as the initial concentration and the initial air pressure.

[0019] The state analysis module is used to analyze the state of the battery by using the state data of the battery.

[0020] In a specific embodiment, the process of analyzing the state of the battery is as follows: Obtain the preset voltage range and preset current range corresponding to each operating state from the battery control center. When the voltage data and current data in the state data of the battery are respectively within the preset voltage range and preset current range of a certain operating state, it indicates that this operating state is the operating state of the battery; each operating state includes a charging state, a discharging state, and an abnormal state.

[0021] When the operating state of the battery is in an abnormal state, obtain the environmental data from the state data of the battery and analyze the severity level of the battery abnormality.

[0022] Among them, professionals set the preset voltage range and preset current range corresponding to each operating state in the battery control center; for example: set the preset voltage range and preset current range corresponding to the charging state to (3.2V, 3.6V) and (0, 20A) respectively. When the voltage in the voltage data is greater than 3.2V and less than 3.6V, and the current in the current data is greater than 0 and less than 20A, it is determined that the operating state of the battery is the charging state.

[0023] Preferably, the process of analyzing the severity level of the battery abnormality is as follows: Obtain the temperature data of the electrolyte, internal gas data, air pressure data, and battery thermal image from the environmental data.

[0024] Using the temperature data of the electrolyte, analyze the abnormal conditions of the electrolyte. The abnormal conditions include minor abnormalities and severe abnormalities.

[0025] In the above, the process of analyzing the abnormal conditions of the electrolyte is as follows: Obtain the temperatures of each detection point in the electrolyte from the temperature data of the electrolyte, compare the temperatures of each detection point, obtain the temperature difference between each detection point, and compare it with the preset temperature difference threshold. Take the two detection points with a temperature difference greater than the temperature difference threshold as a temperature difference group, and thus obtain the two detection points in each temperature difference group.

[0026] Obtain the positions of the two detection points in each temperature difference group in the electrolyte, and then perform clustering to obtain the central positions of each clustering region as the central positions of each clustering. Obtain the distances between each clustering center and its adjacent clustering centers, and perform mean calculation to obtain the average distance between each clustering center and its adjacent clustering center, denoted as L j , where j represents the number of each clustering center, and j is a positive integer.

[0027] Using the abnormal evaluation model: Obtain the abnormal evaluation result α of the electrolyte. In the formula, L represents the length of the electrolyte container, T represents the average temperature of the electrolyte, T j represents the reference temperature of each clustering center, n represents the number of clustering centers, n′ is the number of electrolyte partitions, n′ takes the value of 3, and λ is the set abnormal coefficient threshold.

[0028] The value of α includes 1 and 0. When α = 1, it indicates that the abnormal condition of the electrolyte is a minor abnormality. When α = 0, it indicates that the abnormal condition of the electrolyte is a severe abnormality.

[0029] It should be noted that the reference temperature of each clustering center is the weighted average of all detection points in each clustering region.

[0030] Process of setting the abnormal coefficient threshold: The abnormal coefficient threshold is the critical value for judging whether the electrolyte abnormality is severe, and is set by professionals. For example, the set abnormal coefficient threshold is 4,

[0031] The calculated value of is 3, and 3 < 4, indicating that the abnormal condition of the electrolyte is a minor abnormality.

[0032] The region of the electrolyte is evenly divided into three partitions, namely the positive electrode region, the middle region, and the negative electrode region. Because there are reasonable temperature differences among the three partitions under different operating conditions, but the temperature differences within each region are not significant. For example, when a charging reaction occurs, in the positive electrode region, lithium ions are embedded into the positive electrode material from the electrolyte. This process is accompanied by energy changes and generates a certain amount of heat, causing the temperature of the electrolyte in the positive electrode region to rise relatively quickly. For the electrolyte region far from the electrode, since it does not directly participate in the electrode reaction, the temperature rises relatively slowly, resulting in a temperature difference between the positive and negative electrode electrolytes. Therefore, when there are multiple clustering centers, it indicates that the temperature differences in multiple regions are large, and at this time, the reaction inside the electrolyte is abnormal, leading to abnormal temperature distribution. In addition, when the distances between multiple clustering centers are closer, it indicates that the temperature differences in adjacent regions are large, and the reaction of the electrolyte is abnormal.

[0033] When the abnormal condition of the electrolyte is a minor abnormality, the abnormal severity level of the battery is recorded as the first-level abnormal severity level.

[0034] When the abnormal condition of the electrolyte is a severe abnormality, the internal gas data, air pressure data, and battery thermal image are used to analyze the abnormal severity level of the battery.

[0035] Preferably, the specific process of analyzing the abnormal severity level of the battery is as follows: Obtain the detected concentration of each gas type and the initial concentration of each gas type from the internal gas data, obtain the detected air pressure inside the battery and the initial air pressure from the air pressure data, and calculate the internal leakage risk coefficient of the battery, denoted as a1.

[0036] Among them, each gas type includes hydrogen, carbon dioxide, etc.; when the battery is overcharged or internally short-circuited, the organic solvents in the electrolyte will undergo decomposition reactions. If there is a trace amount of water in the battery, at high potentials, water molecules may be reduced to produce hydrogen; when the internal temperature of the battery is too high or the battery ages, organic carbonate solvents in the electrolyte such as ethylene carbonate and dimethyl carbonate will undergo decomposition reactions to produce carbon dioxide. The generated gases will accumulate inside the battery, increasing the internal pressure of the battery and causing the battery to bulge.

[0037] In the above, the calculation process of the internal leakage risk coefficient of the battery is as follows: Denote the detected concentration of each gas type and the initial concentration of each gas type as C1 i and C0 i , where i is the number of each gas type and i is a positive integer. Denote the detected air pressure inside the battery and the initial air pressure as P1 and P0 respectively.

[0038]

[0039] Obtain the temperatures of each component in the battery thermal image and calculate the internal component abnormality coefficient of the battery, denoted as a2.

[0040] It should be noted that the various components include terminals and connecting pieces. If there is dirt or oxide on the surface of the terminals or if they are not tightened during the connection process, poor contact will result. Poor contact will increase the resistance, and when a large current passes through, the terminals will heat up. The connecting piece is usually made of metal. In a humid environment or when it comes into contact with electrolyte, oxidation reactions are prone to occur. At this time, the resistance increases and the heat generated increases significantly. At this time, the temperature rise at the connecting piece position can be clearly felt. Therefore, the temperature of each component is monitored to increase the reliability of the abnormal analysis results inside the battery.

[0041] Among them, the abnormal coefficient of internal components of the battery is calculated according to the calculation method of the risk coefficient of internal leakage of the battery.

[0042] Using analytical formula The abnormal severity level β of the battery is obtained, where g represents the g-level abnormal severity level, m represents the m-level abnormal severity level, m is the maximum abnormal severity level, 3<g<m, g and m are positive integers, a2, a3, a g-1 、a g 、a m-1 、a m They represent the comprehensive anomaly coefficient thresholds corresponding to the anomaly severity levels of 2, 3, g-1, g, m-1, and m respectively.

[0043] It should be noted that the comprehensive abnormality coefficient threshold corresponding to the abnormality severity levels of level 2, level 3, level g-1, level g, level m-1, and level m is the same as the abnormality coefficient threshold setting process, which will not be repeated here.

[0044] The controllable light control module is used to confirm the color combination of the controllable light according to the battery status, and at the same time obtain the external environment data corresponding to the battery to set the brightness and flashing frequency of the controllable light.

[0045] In the above, the external environment data includes light intensity and visibility, etc., which are obtained from the meteorological center.

[0046] In a specific embodiment, the brightness and flashing frequency of the controllable light are set as follows: the color combination of the controllable light corresponding to each state is obtained from the battery control center, and the color combination of the controllable light is obtained according to the state of the battery.

[0047] It should be noted that when the operating state of the battery is abnormal, the controllable light color combination corresponding to each abnormal severity level is obtained from the battery control center, and then the controllable light color combination is obtained according to the abnormal severity level of the battery.

[0048] For example, the color combination of the controllable lamp with the first-level extremely serious level is yellow + orange, and the color combination of the controllable lamp with the second-level extremely serious level is red + orange.

[0049] Obtain the prompt distance of the controllable lamp. From the light flashing records, obtain the brightness, external environment data, and brightness characteristic values of each monitoring point corresponding to each turn-on of the controllable lamp. Extract the positions of each monitoring point, obtain the distances between each monitoring point and the battery, and compare them with the prompt distance of the controllable lamp. After removing the monitoring points with distances less than the prompt distance of the controllable lamp, use the brightness characteristic values of the remaining monitoring points and the distances between each monitoring point and the battery to obtain the brightness characteristic values corresponding to each distance.

[0050] It should be noted that an ultrasonic sensor or an infrared sensor is set on the battery to collect the distance of the personnel near the battery as the prompt distance of the controllable lamp.

[0051] Use the brightness, external environment data, and brightness characteristic values corresponding to each turn-on of the controllable lamp to calculate the brightness effect coefficient of each brightness in the external environment data corresponding to the battery, and select the brightness corresponding to the maximum brightness effect coefficient as the brightness of the controllable lamp.

[0052] Preferably, the calculation process of the brightness effect coefficient of each brightness in the external environment data corresponding to the battery is as follows: Compare the external environment data corresponding to each turn-on of the controllable lamp with the external environment data corresponding to the battery, and select each turn-on with the same external environment data as the battery as each reference turn-on. Then, use the brightness corresponding to each reference turn-on and the brightness characteristic values corresponding to each distance to count the brightness characteristic values corresponding to each distance at each brightness, and use the weighted average value of each brightness characteristic value as the brightness characteristic value corresponding to each distance at each brightness, denoted as R yw , where y represents the number of each brightness, w represents the number of each distance, and both y and w are positive integers.

[0053] Use the calculation formula: Obtain the brightness effect coefficient χ of the y-th brightness in the external environment data corresponding to the battery y , where p represents the number of distances, R represents the threshold of the brightness characteristic value, L′ represents the prompt distance of the controllable lamp, L yw represents the length of the w-th distance at the y-th brightness, and e represents the natural constant.

[0054] Obtain the brightness, external environment data, and flashing characteristic values of each monitoring point corresponding to each turn-on of the controllable lamp from the light flashing records, and analyze the flashing frequency of the controllable lamp according to the analysis method of the brightness of the controllable lamp.

[0055] A controllable lamp monitoring module, which is used to set monitoring points at preset length intervals when the controllable lamp is operating, collect the monitoring data of the controllable lamp at each monitoring point, and analyze the flashing effect of the controllable lamp.

[0056] Among them, the monitoring data of the controllable lamp at each monitoring point includes a monitoring video, and a camera is used to collect the monitoring data of the controllable lamp at each monitoring point.

[0057] In a specific embodiment, the process of analyzing the flashing effect of the controllable lamp is as follows: Obtain the monitoring video from the monitoring data of the controllable lamp at each monitoring point, and use machine vision technology to obtain the actual brightness of each flash of the controllable lamp at each monitoring point. At the same time, divide the monitoring video of the controllable lamp at each monitoring point into each video segment according to a preset duration, and use machine vision technology to obtain the flashing frequency of the controllable lamp in each video segment at each monitoring point; Obtain the positions of each monitoring point and the power supply, obtain the distance between each monitoring point and the power supply, and thus obtain the actual brightness of each flash of the controllable lamp at each distance and the flashing frequency in each video segment.

[0058] Use the actual brightness of each flash of the controllable lamp at each distance and the brightness of the controllable lamp to calculate the brightness characteristic value of the controllable lamp at each distance. At the same time, obtain the time of each reference turn-on of the controllable lamp and the brightness characteristic value at each distance from the lighting flash record, calculate the brightness characteristic value of the controllable lamp, and record it as b1.

[0059] Preferably, the calculation process of the brightness characteristic value of the controllable lamp is as follows: Denote the actual brightness of each flash of the controllable lamp at each distance and the brightness of the controllable lamp as Z wc and Z, c represents the number of each flash, c is a positive integer, and the flashing characteristic value of the controllable lamp at each distance

[0060] According to the time of each reference turn-on of the controllable lamp, obtain the interval duration of each reference turn-on of the controllable lamp, and record it as T v , v represents the number of each reference turn-on, v is a positive integer, and denote the brightness characteristic value of the controllable lamp at each distance when each reference turn-on occurs as κ vw , substitute it into the calculation formula:

[0061] Get the brightness characteristic value b1 of the controllable lamp. In the formula, κ( v-1 ) w 、κ uw respectively represent the brightness characteristic values of the controllable lamp at the w-th distance when the (v - 1)-th and u-th reference turn-ons occur, T″ represents the interval duration between the turn-on of the controllable lamp and the u-th reference turn-on, and u represents the total number of reference turn-ons.

[0062] Calculate the flashing characteristic value of the controllable lamp at each distance based on the flashing frequency of each video segment of the controllable lamp at each distance and the flashing frequency of the controllable lamp. At the same time, obtain the time of each reference turn-on of the controllable lamp and the flashing characteristic value at each distance from the lamp flashing record, and calculate the flashing characteristic value of the controllable lamp, denoted as b2.

[0063] It should be noted that the flashing characteristic value of the controllable lamp is calculated according to the calculation method of the brightness characteristic value of the controllable lamp.

[0064] It should also be noted that the flashing characteristic value and the flashing characteristic value of the controllable lamp at each distance are stored in the lamp flashing record.

[0065] Using the flashing effect analysis model: Obtain the flashing effect analysis result δ of the controllable lamp, where b is the set flashing effect threshold.

[0066] When δ = 1, it indicates that the flashing effect of the controllable lamp is good; when δ = 0, it indicates that the flashing effect of the controllable lamp is poor.

[0067] The feedback module is used to give feedback according to the flashing effect of the controllable lamp.

[0068] When the flashing effect of the controllable lamp is poor, send a message to the display terminal to prompt the staff to perform lamp maintenance.

[0069] In the embodiment of the present application, by monitoring the state of the battery, when the battery is abnormal, monitor and analyze the temperature distribution of the electrolyte in the battery and the internal situation of the battery to confirm the abnormal level of the battery, then confirm the combination of the turned-on lamp colors, and use the external environment where the battery is located and the prompted distance to confirm the brightness and flashing frequency of the controllable lamp, and then control the controllable lamp to operate. During the operation, monitor the flashing of the controllable lamp and give feedback on the flashing effect. The present application uses the situation of the electrolyte to monitor the state of the battery, can effectively judge the change of the electrolyte in the battery, and more accurately monitor the state of the battery, improving the reliability of battery state monitoring. Through the lamp display, improve the intuitiveness and visualization of battery state prompts. Set the lamp brightness and flashing frequency according to the outdoor environment and the distance to be prompted, ensuring the clarity of the lamp brightness and the stability of the flashing, and ensuring the effect of battery state prompts.

[0070] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of the present technology make various modifications or supplements to the described specific embodiments or use similar methods to replace them. As long as they do not deviate from the concept of the invention or exceed the scope defined by this specification, they should all belong to the protection scope of the present invention.

Claims

1. A multi-state controllable light control system for an energy storage system, characterized in that: include: A battery monitoring module is used to monitor the status of the battery and obtain battery status data; A status analysis module, used to analyze the status of the battery using the status data of the battery; The controllable light control module is used to confirm the color combination of the controllable light according to the battery status, obtain the external environment data corresponding to the battery, and set the brightness and flashing frequency of the controllable light; The controllable light monitoring module is used to set monitoring points at preset intervals when the controllable light is in operation, collect monitoring data of the controllable light at each monitoring point, and analyze the flickering effect of the controllable light; The feedback module is used to provide feedback according to the flashing effect of the controllable light.

2. The energy storage system multi-state controllable light control system according to claim 1, characterized in that: The battery status data includes voltage data, current data and environment data.

3. The energy storage system multi-state controllable light control system according to claim 1, characterized in that: The specific analysis process of analyzing the battery status is as follows: Obtaining preset voltage intervals and preset current intervals corresponding to each operating state from the battery control center, when voltage data and current data in the battery state data are respectively within the preset voltage interval and preset current interval in a certain operating state, it indicates that the operating state is the operating state of the battery; each operating state includes a charging state, a discharging state and an abnormal state; When the operating state of the battery is in an abnormal state, environmental data is obtained from the state data of the battery to analyze the severity level of the abnormality of the battery.

4. The energy storage system multi-state controllable light control system according to claim 3, characterized in that: The specific process of analyzing the severity level of battery abnormality is as follows: Obtain electrolyte temperature data, internal gas data, gas pressure data and battery thermal images from environmental data; Using the temperature data of the electrolyte, analyze the abnormal conditions of the electrolyte, including minor abnormalities and serious abnormalities; When the abnormality of the electrolyte is a slight abnormality, the abnormality severity level of the battery is recorded as level 1 abnormality severity level; When the electrolyte abnormality is severe, the severity level of the battery abnormality is analyzed using internal gas data, air pressure data, and battery thermal images.

5. The energy storage system multi-state controllable light control system according to claim 4, characterized in that: The specific process of analyzing the abnormality of the electrolyte is as follows: The temperature of each detection point in the electrolyte is obtained from the temperature data of the electrolyte, the temperature of each detection point is compared, the temperature difference between the detection points is obtained, and the temperature difference is compared with a preset temperature difference threshold, and two detection points with a temperature difference greater than the temperature difference threshold are taken as a temperature difference group, thereby obtaining two detection points in each temperature difference group; Get the positions of the two detection points in each temperature difference group in the electrolyte, then perform clustering to get the center position of each cluster area as the center position of each cluster, get the distance between each cluster center and each adjacent cluster center, and perform mean calculation to get the average distance between each cluster center and the adjacent cluster center, recorded as L j , j represents the number of each cluster center, j is a positive integer; Using anomaly evaluation models: The abnormal evaluation result α of the electrolyte is obtained, where L represents the length of the electrolyte container, T represents the average temperature of the electrolyte, and T j represents the reference temperature of each cluster center, n represents the number of cluster centers, n′ represents the number of electrolyte partitions, n′ takes a value of 3, and λ represents the set abnormal coefficient threshold; α includes values ​​of 1 and 0. When α=1, it indicates that the abnormality of the electrolyte is slightly abnormal. When α=0, it indicates that the abnormality of the electrolyte is seriously abnormal.

6. The energy storage system multi-state controllable light control system according to claim 1, characterized in that: The specific process of analyzing the severity level of battery abnormality is as follows: Obtain the detection concentration and initial concentration of each gas type from the internal gas data, obtain the internal detection pressure and initial pressure of the battery from the pressure data, and calculate the internal leakage risk factor of the battery, which is recorded as a1; Obtain the temperature of each component in the battery thermal image and calculate the abnormal coefficient of the internal components of the battery, which is recorded as a2; Using analytical formula The abnormal severity level β of the battery is obtained, where g represents the g-level abnormal severity level, m represents the m-level abnormal severity level, m is the maximum abnormal severity level, 3<g<m, g and m are positive integers, a2, a3, a g-1 、a g 、a m-1 、a m They represent the comprehensive anomaly coefficient thresholds corresponding to the anomaly severity levels of 2, 3, g-1, g, m-1, and m respectively.

7. The energy storage system multi-state controllable light control system according to claim 1, characterized in that: The specific process of setting the brightness and flashing frequency of the controllable light is as follows: Obtain the color combination of the controllable lights corresponding to each state from the battery control center, and obtain the color combination of the controllable lights according to the state of the battery; Obtain the prompt distance of the controllable light, obtain the brightness corresponding to each time the controllable light is turned on, the external environment data and the brightness characteristic value of each monitoring point from the light flashing record, extract the position of each monitoring point, obtain the distance between each monitoring point and the battery, and compare it with the prompt distance of the controllable light, remove the monitoring points whose distance is less than the prompt distance of the controllable light, and use the brightness characteristic values ​​of the remaining monitoring points and the distance between each monitoring point and the battery to obtain the brightness characteristic value corresponding to each distance; Using the brightness corresponding to each time the controllable light is turned on, the external environment data and the brightness characteristic value corresponding to each distance, the brightness effect coefficient of each brightness in the external environment data corresponding to the battery is calculated, and the brightness corresponding to the maximum value of the brightness effect coefficient is selected as the brightness of the controllable light; The brightness, external environment data and flicker characteristic values ​​of each monitoring point corresponding to each time the controllable light is turned on are obtained from the light flicker record, and the flicker frequency of the controllable light is obtained by analysis according to the analysis method of the brightness of the controllable light.

8. The energy storage system multi-state controllable light control system according to claim 7, characterized in that: The calculation process of the brightness effect coefficient of each brightness in the battery corresponding external environment data is as follows: The external environment data corresponding to each turn-on of the controllable light is compared with the external environment data corresponding to the battery, and the turns-on times with the same external environment data as the external environment data corresponding to the battery are selected as the reference turns-on times. Then, the brightness corresponding to each reference turn-on time and the brightness characteristic value corresponding to each distance are used to count the brightness characteristic values ​​corresponding to each distance at each brightness, and the weighted average of each brightness characteristic value is taken as the brightness characteristic value corresponding to each distance at each brightness, recorded as R yw , where y represents the number of each brightness, w represents the number of each distance, and both y and w are positive integers; Using the calculation formula: Get the brightness effect coefficient χ of the yth brightness in the battery corresponding external environment data y , where p represents the number of distances, R represents the threshold of the brightness feature value, L′ represents the prompt distance of the controllable light, and L yw represents the length of the wth distance at the yth brightness, and e represents a natural constant.

9. The energy storage system multi-state controllable light control system according to claim 8, characterized in that: The specific process of analyzing the flickering effect of the controllable light is as follows: Acquire monitoring videos from monitoring data of controllable lights at each monitoring point, and use machine vision technology to obtain the actual brightness of each flash of the controllable lights at each monitoring point. At the same time, divide the monitoring videos of the controllable lights at each monitoring point into video segments according to a preset duration, and use machine vision technology to obtain the flashing frequency of the controllable lights in each video segment at each monitoring point; obtain the position of each monitoring point and a power source, obtain the distance between each monitoring point and the power source, and thereby obtain the actual brightness of each flash of the controllable lights at each distance and the flashing frequency in each video segment; The actual brightness of each flash of the controllable light at each distance and the brightness of the controllable light are used to calculate the brightness characteristic value of the controllable light at each distance. At the same time, the reference opening time of each controllable light and the brightness characteristic value at each distance are obtained from the light flashing record to calculate the brightness characteristic value of the controllable light, which is recorded as b1. According to the flickering frequency of the controllable light in each video segment at each distance and the flickering frequency of the controllable light, the flickering characteristic value of the controllable light at each distance is calculated. At the same time, the reference opening time of the controllable light and the flickering characteristic value at each distance are obtained from the light flickering record, and the flickering characteristic value of the controllable light is calculated, which is recorded as b2; Analyze the model using the flickering effect: The flicker effect analysis result δ of the controllable light is obtained, where b is the set flicker effect threshold; When δ=1, it indicates that the flickering effect of the controllable lamp is good, and when δ=0, it indicates that the flickering effect of the controllable lamp is poor.

10. The energy storage system multi-state controllable light control system according to claim 9, characterized in that: The calculation process of the brightness characteristic value of the controllable lamp is as follows: The actual brightness of each flash of the controllable light at each distance and the brightness of the controllable light are recorded as Z wc and Z, c represents the number of each flash, c is a positive integer, and the flash characteristic value of the controllable light at each distance According to the reference opening time of each controllable light, the interval length of each reference opening of the controllable light is obtained, which is recorded as T v , v represents the number of each reference opening, v is a positive integer, and the brightness characteristic value of the controllable light at each reference opening at each distance is recorded as κ vw , substitute into the calculation formula: The brightness characteristic value b1 of the controllable lamp is obtained, where κ( v-1 ) w , κ uw They respectively represent the brightness characteristic values ​​of the controllable light at the wth distance when it is turned on for the v-1th and uth reference times, T″ represents the interval between the controllable light being turned on and the uth reference time, and u represents the total number of reference times.

Images