A thermal safety management system for battery energy storage

Abstract

The present invention discloses a thermal safety management system for battery energy storage, which relates to the field of thermal safety management technology, including an object recognition end, an out-of-control prediction end and a prediction correction end. The object recognition end is used to monitor the battery pack in the corresponding area in real time, capture the image information of the battery pack to determine whether a fire occurs, the out-of-control prediction end is used to determine the cause of out-of-control by the direction of the flame and the location of thermal runaway, and analyze the abnormal thermal runaway data with multiple parameters and multiple angles, and the prediction correction end is used to classify the thermal runaway level of the battery energy storage, realize the early warning of the thermal safety management of the battery energy storage, and automatically generate a safety early warning model according to the different temperatures of the battery energy storage. The thermal safety management system of the battery energy storage makes thermal runaway warning information in advance, and the thermal safety management model of the battery energy storage is finely divided, which reduces the limitations of the thermal management of the battery energy storage, and the thermal runaway can be effectively suppressed in advance, and the temperature correction of the thermal runaway is made in time.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal safety management, and in particular to a thermal safety management system for battery energy storage. Background Art

[0002] Thermal management of battery energy storage refers to the process of regulating and controlling the temperature or temperature difference of the battery system by means of heating or cooling. Thermal management of battery energy storage is an important link to ensure that the battery system operates within an appropriate temperature range. It adjusts the temperature of the battery pack to avoid performance degradation or safety accidents caused by overheating or overcooling. The main purpose of thermal management is to maintain the optimal operating temperature range of the battery, extend battery life, improve system efficiency and reliability, and reduce potential safety risks.

[0003] Patent No. CN110444828A discloses a thermal runaway warning method based on a safety management system for lithium phosphate batteries for energy storage. It establishes a thermal runaway warning system for energy storage batteries consisting of a remote server, a BMS main control system, and an energy storage battery pack. Multiple temperature sensors and gas detectors are installed inside the energy storage battery pack, and video monitoring is installed above the energy storage battery pack. The BMS main control system reads the temperature and combustible gas information of each area inside the energy storage battery pack in real time; the video monitoring monitors each battery pack in real time, and the remote server uses image processing and analysis methods to identify battery packs with smoke or sparks, and communicates with the BMS main control system to obtain the temperature and combustible gas conditions inside the battery pack, and performs alarms and controls. This method can quickly locate the area where the battery pack has thermal runaway, and quickly perform corresponding disconnection, fire fighting, and alarm operations to ensure the safe and stable operation of the battery energy storage power station to the greatest extent.

[0004] The battery generates heat during the charging and discharging process. If the heat cannot be dissipated in time, it will accumulate inside the battery to form high temperature, which may cause a short circuit between the positive and negative electrodes, causing safety problems such as combustion and explosion. These safety problems cannot be monitored in real time, and it is impossible to timely determine whether a fire abnormality occurs during the battery energy storage process, affecting the thermal safety management effect of the battery energy storage; at the same time, the electrode materials, diaphragms, etc. in the lithium battery are all combustibles, which are very easy to catch fire during thermal runaway. Once a battery has thermal runaway, it may trigger a chain reaction and cause the entire energy storage system to burn out. When thermal runaway occurs, although the current position of the thermal runaway can be monitored in real time, the position of the thermal runaway of the battery energy storage cannot be predicted in advance, resulting in limitations in the thermal management of battery energy storage and affecting the comprehensiveness of thermal safety management; and once a fire occurs, it cannot be effectively suppressed, and temperature correction cannot be made to the thermal runaway in time, affecting the safety and reliability of the battery energy storage.

[0005] Therefore, a thermal safety management system for battery energy storage is proposed to solve the above problems. Summary of the invention

[0006] The main purpose of the present invention is to provide a thermal safety management system for battery energy storage to solve the problems raised in the above background.

[0007] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a thermal safety management system for battery energy storage, comprising an object recognition end, an out-of-control prediction end and a prediction correction end, wherein the object recognition end, the out-of-control prediction end and the prediction correction end are jointly provided with a visual monitoring module;

[0008] The object recognition end is used to monitor the battery packs in the corresponding area in real time, capture the image information of the battery packs to determine whether a fire occurs, determine whether the temperature of the battery pack exceeds a threshold range, and identify the direction of the flames according to the sparks, and promptly determine whether a fire abnormality occurs during the battery energy storage process;

[0009] The out-of-control prediction terminal is used to determine the cause of out-of-control by flame direction and thermal runaway position, and analyze the abnormal thermal runaway data from multiple parameters and angles, predict the future state of the battery pack in real time based on the monitored thermal runaway data, and predict in advance the thermal runaway position of the battery energy storage and whether the thermal runaway is abnormal;

[0010] The prediction and correction end is used to implement a hierarchical warning reminder for thermal safety management of battery energy storage by classifying the thermal runaway levels of battery energy storage, and automatically generate a safety warning model according to different temperatures of battery energy storage. When abnormal battery energy storage temperature or thermal runaway is detected, the battery pack is corrected in real time in a timely manner;

[0011] The visual monitoring module is used to visually monitor the thermal safety management page of the battery energy storage in real time through a computer, and to visually display the thermal management status of the battery energy storage in real time.

[0012] The object recognition end includes a region monitoring module, a spark recognition module and a spark tracking module;

[0013] The area monitoring module includes an image capture unit and an object positioning unit;

[0014] The image capture unit is used to capture the dynamics of the battery pack in real time through a video device, obtain battery pack image information through data conversion, and monitor the battery pack temperature in real time through a temperature sensor;

[0015] The object positioning unit is used to set the positioning information of different battery packs in the system, and to capture the status of battery packs at different positions in real time through sequence arrangement.

[0016] The spark recognition module includes a multi-dimensional measurement unit and a flame direction unit;

[0017] The multi-dimensional measurement unit is used to measure the image information in real time through image comparison, and calculate different thermal runaway temperatures of the battery pack in real time;

[0018] The flame direction unit is used to calculate the flame trend angle in real time, obtain the flame direction and make data analysis.

[0019] The spark tracking module includes a spark tracking unit and a spark early warning unit;

[0020] The spark tracking unit is used to track the flame burning direction and spark position of the battery pack in real time at the current moment through a data recorder;

[0021] The spark warning unit is used to immediately report the occurrence of sparks to the system for feedback and manual processing, and automatically start the cooling equipment to perform physical cooling operations on the battery pack.

[0022] The out-of-control prediction terminal includes an out-of-control judgment module, an out-of-control tracking module and an out-of-control prediction module;

[0023] The out-of-control judgment module includes an out-of-control judgment unit and an abnormality analysis unit;

[0024] The out-of-control judgment unit is used to perform real-time data comparison based on the internal temperature of the battery pack monitored in real time. The comparison steps are as follows:

[0025] S1. Set standard temperature parameters of the battery pack, monitor the internal temperature of the battery pack in the corresponding area in real time through the temperature sensor, and make a thermal runaway judgment on the internal temperature of the battery pack;

[0026] S2. Calculate the difference between the temperature parameter of the corresponding area and the standard temperature parameter. If the difference = ±0.02, it is judged that the temperature parameter is close to the safe value. If the difference > 0.02 or < -0.02, it is judged that the temperature parameter exceeds the safe value.

[0027] The abnormality analysis unit is used to determine abnormalities of the internal temperatures of the battery pack at different positions according to the prediction results, arrange the temperature heights according to the sequence numbers, and determine the distribution range of different temperature differences of the battery pack.

[0028] The out-of-control tracking module includes an out-of-control tracking unit and an out-of-control sorting unit;

[0029] The runaway tracking unit is used to track the thermal runaway prediction values ​​of different battery packs and the internal temperature of the battery pack at the current moment in real time through a data tracker and a data monitor;

[0030] The runaway sorting unit is used to arrange the thermal runaway prediction values ​​of different battery packs in sequence.

[0031] The runaway prediction module is used to make a prediction result of thermal runaway according to the thermal runaway judgment result of the internal temperature of the battery pack. The prediction method is as follows:

[0032] Ten minutes is a cycle. The temperature parameters of the corresponding areas of the battery packs at different positions are predicted based on the temperature parameters of the three cycles. If the average values ​​of the standard parameters of the three cycles all exceed the standard temperature parameters, it is judged that the thermal safety management of the battery pack at the corresponding position is abnormal. If one of the average values ​​of the standard parameters of the three cycles exceeds the standard temperature parameters, it is judged that the thermal safety management of the battery pack at the corresponding position is normal. If two of the average values ​​of the standard parameters of the three cycles exceed the standard temperature parameters, it is judged that the thermal safety management of the battery pack at the corresponding position needs to be manually determined.

[0033] The prediction and correction end includes a prediction reminder module, a correction model module and a correction tracking module;

[0034] The prediction reminder module includes a grading unit and an early warning reminder unit;

[0035] The hierarchical unit is used to perform early warning hierarchical classification according to the thermal runaway prediction data, divide the data predicted to have thermal safety management abnormality into three parts, the three parts correspond to three thermal runaway prediction values, and display the thermal safety management prediction data in real time through computer visualization;

[0036] The early warning reminder unit is used to give a staged reminder of the predicted thermal safety management data, and to cool down the battery packs with thermal runaway warnings at different locations through temperature sensors and cooling equipment. The cooling data is performed sequentially according to the data divided into three parts.

[0037] The correction model module includes a security model unit and a security correction unit;

[0038] The safety model unit is used to calculate the difference between the predicted thermal safety management abnormality data and the standard temperature parameter, and generate a thermal safety management model according to the result. If the difference = 0, a thermal safety standard model of battery energy storage is generated; if the difference ≠ 0, a thermal safety abnormality model of battery energy storage is generated;

[0039] The safety correction unit is used to perform safety correction on the thermal runaway prediction data with a difference value ≠ 0 according to the generated thermal safety abnormality model, and to perform real-time correction on the temperature parameter according to the specific value of the difference. If the difference is a positive number, the temperature parameter is corrected by a subtraction, and if the difference is a negative number, the temperature parameter is corrected by an addition, until the result generates a thermal safety standard model.

[0040] The correction tracking module includes a correction tracking unit and a recording and early warning unit;

[0041] The correction tracking unit is used to track the temperature parameters and thermal runaway prediction values ​​before and after the correction in real time through a data tracker. If the difference between the temperature parameters and the thermal runaway prediction values ​​before and after the correction is equal to 0, it means that the correction is invalid. The prediction value is calculated again and corrected automatically until it is judged that the correction is effective. If the difference between the temperature parameters and the thermal runaway prediction values ​​before and after the correction is ≠ 0, it means that the correction is effective. The correction is continued until a thermal safety standard model is generated.

[0042] The recording and early warning unit is used to record the correction data of the generated thermal safety anomaly model in real time through a data recorder, and receive the thermal safety anomaly results obtained by the anomaly analysis unit in real time through a data converter and a data receiver, make an early warning signal in real time, and perform automatic correction of thermal runaway.

[0043] The present invention has the following beneficial effects:

[0044] 1. In the present invention, by setting an object recognition terminal, during the thermal safety management of battery energy storage, by real-time monitoring whether the image information captured by the battery pack is abnormal, timely judging whether the temperature of the battery pack exceeds the threshold range, and identifying the direction of the flame according to the spark, it is possible to timely judge whether a fire abnormality occurs during the battery energy storage process, and by locating the flame direction and the abnormal position of thermal runaway, thermal runaway warning information is made in advance, thereby increasing the thermal safety management effect of battery energy storage.

[0045] 2. In the present invention, by setting up an out-of-control prediction terminal, during the thermal safety management of battery energy storage, the cause of out-of-control is judged by the flame direction and the thermal runaway position, and the thermal runaway data abnormalities are analyzed from multiple parameters and angles, so that the system can prevent thermal runaway fires in advance and avoid burning of the entire energy storage system. During battery energy storage, the thermal runaway position of the battery energy storage and whether the thermal runaway is abnormal can also be predicted in advance, thereby reducing the limitations of battery energy storage thermal management and increasing the comprehensiveness of battery energy storage thermal safety management.

[0046] 3. In the present invention, by setting a prediction and correction terminal, during the thermal safety management of battery energy storage, the battery pack can be corrected in real time through the early warning and staged reminder of the thermal safety management of battery energy storage, and the correction result can be tracked in real time, so as to facilitate the automatic correction of thermal runaway abnormalities of battery energy storage, ensure that the thermal safety management of battery energy storage is timely and effective, so that the thermal runaway of battery energy storage can be effectively suppressed in advance, and the temperature correction of thermal runaway can be made in time, thereby increasing the safety and reliability of battery energy storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A schematic diagram of the overall system architecture of a thermal safety management system for battery energy storage according to the present invention;

[0048] Figure 2 A schematic diagram of the architecture of an object recognition terminal of a thermal safety management system for battery energy storage according to the present invention;

[0049] Figure 3 It is a schematic diagram of the architecture of a runaway prediction terminal of a thermal safety management system for battery energy storage according to the present invention;

[0050] Figure 4 It is a schematic diagram of the architecture of a prediction and correction terminal of a thermal safety management system for battery energy storage according to the present invention. DETAILED DESCRIPTION

[0051] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods. Embodiment 1

[0052] Please refer to Figure 1 to Figure 2 As shown: A thermal safety management system for battery energy storage includes an object recognition end, an out-of-control prediction end and a prediction correction end, wherein the object recognition end, the out-of-control prediction end and the prediction correction end are jointly provided with a visual monitoring module;

[0053] The object recognition end is used to monitor the battery packs in the corresponding area in real time, capture the battery pack image information to determine whether a fire has occurred, determine whether the battery pack temperature exceeds the threshold range, and identify the direction of the flame based on the spark, so as to promptly determine whether a fire abnormality has occurred during the battery energy storage process;

[0054] The out-of-control prediction terminal is used to determine the cause of out-of-control based on the direction of the flame and the location of thermal runaway, and analyze the abnormal thermal runaway data from multiple parameters and angles. It predicts the future state of the battery pack based on the monitored thermal runaway data in real time, and predicts in advance the thermal runaway location of the battery energy storage and whether the thermal runaway is abnormal.

[0055] The prediction and correction end is used to classify the thermal runaway levels of battery energy storage, realize the early warning and hierarchical reminder of the thermal safety management of battery energy storage, and automatically generate a safety early warning model according to the different temperatures of battery energy storage. When the battery energy storage temperature is abnormal or thermal runaway occurs, the battery pack is corrected in real time;

[0056] The visual monitoring module is used to monitor the thermal safety management page of the battery energy storage in real time through a computer, and to display the thermal management status of the battery energy storage in real time.

[0057] The object recognition end includes a region monitoring module, a spark recognition module, and a spark tracking module;

[0058] The area monitoring module includes an image capture unit and an object positioning unit;

[0059] The image capture unit is used to capture the dynamics of the battery pack in real time through a video device, obtain the battery pack image information through data conversion, and monitor the battery pack temperature in real time through a temperature sensor;

[0060] The object positioning unit is used to set the positioning information of different battery packs in the system, and to capture the status of battery packs at different positions in real time through serial number arrangement.

[0061] The spark recognition module includes a multi-dimensional measurement unit and a flame direction unit;

[0062] The multi-dimensional measurement unit is used to measure image information in real time through image comparison, calculate different temperatures of thermal runaway of battery packs in real time, and identify the direction of flames according to sparks. It can timely judge whether fire abnormalities occur during battery energy storage, and make thermal runaway warning information in advance by locating the direction of flames and the abnormal position of thermal runaway, thereby increasing the thermal safety management effect of battery energy storage;

[0063] The flame direction unit is used to calculate the flame trend angle in real time and obtain the flame direction for data analysis.

[0064] The spark tracking module includes a spark tracking unit and a spark warning unit;

[0065] The spark tracking unit is used to track the flame burning direction and spark position of the battery pack in real time through a data recorder at the current moment;

[0066] The spark warning unit is used to immediately report the system feedback for manual processing when it determines that a spark has occurred, and automatically turn on the cooling equipment to physically cool the battery pack. By real-time monitoring of the battery packs in the corresponding area, it monitors in real time whether the image information captured by the battery pack is abnormal, and promptly determines whether the battery pack temperature exceeds the threshold range, and monitors in real time whether a fire has occurred in the battery pack. Embodiment 2

[0067] Please refer to Figure 3 As shown: Based on the first embodiment, the out-of-control prediction terminal includes an out-of-control judgment module, an out-of-control tracking module and an out-of-control prediction module;

[0068] The out-of-control judgment module includes an out-of-control judgment unit and an abnormality analysis unit;

[0069] The out-of-control judgment unit is used to perform real-time data comparison based on the internal temperature of the battery pack monitored in real time. The comparison steps are as follows:

[0070] S1. Set standard temperature parameters of the battery pack, monitor the internal temperature of the battery pack in the corresponding area in real time through the temperature sensor, and make a thermal runaway judgment on the internal temperature of the battery pack;

[0071] S2. Calculate the difference between the temperature parameter of the corresponding area and the standard temperature parameter. If the difference = ±0.02, it is judged that the temperature parameter is close to the safe value. If the difference > 0.02 or < -0.02, it is judged that the temperature parameter exceeds the safe value.

[0072] The abnormality analysis unit is used to determine the abnormal internal temperature of the battery pack at different positions according to the prediction results, arrange the temperature heights by serial number, determine the distribution range of different temperature differences of the battery pack, analyze the thermal runaway data abnormalities with multiple parameters and multiple angles, and predict the future state of the battery pack through the real-time monitored thermal runaway data, so that the system can prevent thermal runaway fires in advance and avoid burning of the entire energy storage system.

[0073] The out-of-control tracking module includes an out-of-control tracking unit and an out-of-control sorting unit;

[0074] The runaway tracking unit is used to track the thermal runaway prediction values ​​of different battery packs and the internal temperature of the battery pack at the current moment in real time through a data tracker and a data monitor;

[0075] The runaway sorting unit is used to arrange the thermal runaway prediction values ​​of different battery packs in sequence.

[0076] The runaway prediction module is used to make a prediction result of thermal runaway based on the thermal runaway judgment result of the internal temperature of the battery pack. The prediction method is as follows:

[0077] Ten minutes is a cycle. The temperature parameters of the corresponding areas of the battery packs at different positions are predicted based on the temperature parameters of the three cycles. If the average values ​​of the standard parameters of the three cycles all exceed the standard temperature parameters, the thermal safety management of the battery pack at the corresponding position is judged to be abnormal. If one of the average values ​​of the standard parameters of the three cycles exceeds the standard temperature parameters, the thermal safety management of the battery pack at the corresponding position is judged to be normal. If two of the average values ​​of the standard parameters of the three cycles exceed the standard temperature parameters, the thermal safety management of the battery pack at the corresponding position needs to be manually determined. The cause of the runaway is judged by the direction of the flame and the position of the thermal runaway, and the abnormality analysis is performed in real time. When the battery is storing energy, not only the current position of the thermal runaway can be monitored in real time, but also the thermal runaway position of the battery energy storage and whether the thermal runaway is abnormal can be predicted in advance, reducing the limitations of the thermal management of battery energy storage and increasing the comprehensiveness of the thermal safety management of battery energy storage. Embodiment 3

[0078] Please refer to Figure 4 As shown: Based on the first embodiment, the prediction and correction end includes a prediction reminder module, a correction model module and a correction tracking module;

[0079] The prediction and reminder module includes a hierarchical unit and an early warning and reminder unit;

[0080] The hierarchical unit is used to classify the warning levels according to the thermal runaway prediction data, divide the data predicted to have thermal safety management anomalies into three parts, the three parts correspond to three thermal runaway prediction values, and display the thermal safety management prediction data in real time through computer visualization;

[0081] The early warning reminder unit is used to give differentiated reminders based on the predicted thermal safety management data, and to cool down the battery packs with thermal runaway warnings at different locations through temperature sensors and cooling equipment. The cooling data is processed sequentially based on the data divided into three parts.

[0082] The correction model module includes a safety model unit and a safety correction unit;

[0083] The safety model unit is used to calculate the difference between the predicted thermal safety management abnormality data and the standard temperature parameters, and generate a thermal safety management model based on the result. If the difference = 0, a thermal safety standard model of battery energy storage is generated; if the difference ≠ 0, a thermal safety abnormality model of battery energy storage is generated;

[0084] The safety correction unit is used to perform safety correction on the thermal runaway prediction data with a difference ≠ 0 according to the generated thermal safety abnormality model, and to perform real-time correction on the temperature parameter according to the specific value of the difference. If the difference is a positive number, the temperature parameter is corrected by subtraction, and if the difference is a negative number, the temperature parameter is corrected by addition, until the result generates the thermal safety standard model. Each correction data is stored and recorded to facilitate automatic correction of thermal runaway anomalies of battery energy storage, ensure timely and effective thermal safety management of battery energy storage, enable thermal runaway of battery energy storage to be effectively suppressed in advance, make temperature correction for thermal runaway in time, and increase the safety and reliability of battery energy storage.

[0085] The correction tracking module includes a correction tracking unit and a record warning unit;

[0086] The correction tracking unit is used to track the temperature parameters and thermal runaway prediction values ​​before and after the correction in real time through a data tracker. If the difference between the temperature parameters and the thermal runaway prediction values ​​before and after the correction = 0, it means that the correction is invalid. The prediction value is calculated again and corrected automatically until it is judged that the correction is effective. If the difference between the temperature parameters and the thermal runaway prediction values ​​before and after the correction is ≠ 0, it means that the correction is effective. The correction is continued until a thermal safety standard model is generated.

[0087] The recording and early warning unit is used to record the correction data of the generated thermal safety anomaly model in real time through a data recorder, and receive the thermal safety anomaly results obtained by the anomaly analysis unit in real time through a data converter and a data receiver, make early warning signals in real time, and automatically correct thermal runaway. By dividing the thermal runaway levels of battery energy storage into different levels, early warning and staged reminders for thermal safety management of battery energy storage are realized, and a safety early warning model is automatically generated according to the different temperatures of the battery energy storage. When the battery energy storage temperature is abnormal or thermal runaway occurs, the battery pack can be corrected in real time and the correction results can be tracked in real time.

[0088] In the present invention, a thermal safety management system for battery energy storage is provided. When the system is in operation, the system first uses video monitoring to monitor the battery pack status in real time, and uses image processing and analysis methods to determine whether smoke or sparks appear in the battery pack. By real-time monitoring the battery pack in the corresponding area, the image information of the battery pack is captured to determine whether a fire occurs, and whether the temperature of the battery pack exceeds a threshold range, and the direction of the flame is identified according to the spark, and whether a fire abnormality occurs during the battery energy storage process is determined in time. By real-time monitoring the battery pack in the corresponding area, the image information captured by the battery pack is monitored in real time to determine whether it is abnormal, and whether the temperature of the battery pack exceeds the threshold. The system can detect fires in the battery pack in real time and identify the direction of the fire according to the sparks. It can timely judge whether fire abnormalities occur during the battery energy storage process, and make early warning information of thermal runaway by locating the direction of the fire and the abnormal position of thermal runaway, thereby increasing the thermal safety management effect of battery energy storage. The system can judge the cause of the runaway by the direction of the fire and the position of the thermal runaway, and analyze the abnormal thermal runaway data with multiple parameters and angles. The system can predict the future state of the battery pack according to the monitored thermal runaway data in real time, predict the thermal runaway position of the battery energy storage and whether the thermal runaway is abnormal in advance, and monitor the battery pack in the corresponding area in real time to capture the abnormal thermal runaway. Whether the image information is abnormal, whether the battery pack temperature exceeds the threshold range, and whether the battery pack has a fire in real time. It can also identify the direction of the flame based on the spark, and promptly determine whether a fire abnormality has occurred during the battery energy storage process. By locating the flame direction and the abnormal position of thermal runaway, thermal runaway warning information can be made in advance to increase the thermal safety management effect of battery energy storage; by dividing the thermal runaway level of battery energy storage into different levels, a warning of thermal safety management of battery energy storage is realized, and a safety warning model is automatically generated according to the different temperatures of the battery energy storage. When the battery energy storage temperature is abnormal or thermal runaway occurs, timely warning is given. The battery pack can be corrected in real time. By classifying the thermal runaway levels of the battery energy storage, a graded warning reminder for the thermal safety management of the battery energy storage can be realized, and a safety warning model can be automatically generated according to the different temperatures of the battery energy storage. When the battery energy storage temperature is abnormal or thermal runaway occurs, the battery pack can be corrected in real time, and the correction results can be tracked in real time. The data of each correction is stored and recorded to facilitate automatic correction of the thermal runaway abnormality of the battery energy storage, ensure that the thermal safety management of the battery energy storage is timely and effective, so that the thermal runaway of the battery energy storage can be effectively suppressed in advance, and the temperature correction of the thermal runaway can be made in time, thereby increasing the safety and reliability of the battery energy storage.

[0089] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A thermal safety management system for battery energy storage, characterized in that: The thermal safety management system comprises an object recognition end, an out-of-control prediction end and a prediction correction end, wherein the object recognition end, the out-of-control prediction end and the prediction correction end are jointly provided with a visual monitoring module; The object recognition end is used to monitor the battery packs in the corresponding area in real time, capture the image information of the battery packs to determine whether a fire occurs, determine whether the temperature of the battery pack exceeds a threshold range, and identify the direction of the flames according to the sparks, and promptly determine whether a fire abnormality occurs during the battery energy storage process; The out-of-control prediction terminal is used to determine the cause of out-of-control by flame direction and thermal runaway position, and analyze the abnormal thermal runaway data from multiple parameters and angles, predict the future state of the battery pack in real time based on the monitored thermal runaway data, and predict in advance the thermal runaway position of the battery energy storage and whether the thermal runaway is abnormal; The prediction and correction end is used to implement a hierarchical warning reminder for thermal safety management of battery energy storage by classifying the thermal runaway levels of battery energy storage, and automatically generate a safety warning model according to different temperatures of battery energy storage. When abnormal battery energy storage temperature or thermal runaway is detected, the battery pack is corrected in real time in a timely manner; The visual monitoring module is used to visually monitor the thermal safety management page of the battery energy storage in real time through a computer, and to visually display the thermal management status of the battery energy storage in real time.

2. The system according to claim 1, characterized in that The object recognition end includes a region monitoring module, a spark recognition module and a spark tracking module; The area monitoring module includes an image capture unit and an object positioning unit; The image capture unit is used to capture the dynamics of the battery pack in real time through a video device, obtain battery pack image information through data conversion, and monitor the battery pack temperature in real time through a temperature sensor; The object positioning unit is used to set the positioning information of different battery packs in the system, and to capture the status of battery packs at different positions in real time through sequence arrangement.

3. The system according to claim 2, characterized in that The spark recognition module includes a multi-dimensional measurement unit and a flame direction unit; The multi-dimensional measurement unit is used to measure the image information in real time through image comparison, and calculate different thermal runaway temperatures of the battery pack in real time; The flame direction unit is used to calculate the flame trend angle in real time, obtain the flame direction and make data analysis.

4. The system according to claim 3, characterized in that The spark tracking module includes a spark tracking unit and a spark early warning unit; The spark tracking unit is used to track the flame burning direction and spark position of the battery pack in real time at the current moment through a data recorder; The spark warning unit is used to immediately report the occurrence of sparks to the system for feedback and manual processing, and automatically start the cooling equipment to perform physical cooling operations on the battery pack.

5. The system according to claim 1, characterized in that The out-of-control prediction terminal includes an out-of-control judgment module, an out-of-control tracking module and an out-of-control prediction module; The out-of-control judgment module includes an out-of-control judgment unit and an abnormality analysis unit; The out-of-control judgment unit is used to perform real-time data comparison based on the internal temperature of the battery pack monitored in real time. The comparison steps are as follows: S1. Set standard temperature parameters of the battery pack, monitor the internal temperature of the battery pack in the corresponding area in real time through the temperature sensor, and make a thermal runaway judgment on the internal temperature of the battery pack; S2. Calculate the difference between the temperature parameter of the corresponding area and the standard temperature parameter. If the difference = ±0.02, it is judged that the temperature parameter is close to the safe value. If the difference > 0.02 or < -0.02, it is judged that the temperature parameter exceeds the safe value. The abnormality analysis unit is used to determine the abnormality of the internal temperature of the battery pack at different positions according to the prediction results, arrange the temperature heights according to the sequence number, and determine the distribution range of different temperature differences of the battery pack.

6. The system according to claim 5, characterized in that The out-of-control tracking module includes an out-of-control tracking unit and an out-of-control sorting unit; The runaway tracking unit is used to track the thermal runaway prediction values ​​of different battery packs and the internal temperature of the battery pack at the current moment in real time through a data tracker and a data monitor; The runaway sorting unit is used to arrange the thermal runaway prediction values ​​of different battery packs in sequence.

7. The system according to claim 6, characterized in that The runaway prediction module is used to make a prediction result of thermal runaway according to the thermal runaway judgment result of the internal temperature of the battery pack. The prediction method is as follows: Ten minutes is a cycle. The temperature parameters of the corresponding areas of the battery packs at different positions are predicted based on the temperature parameters of the three cycles. If the average values ​​of the standard parameters of the three cycles all exceed the standard temperature parameters, it is judged that the thermal safety management of the battery pack at the corresponding position is abnormal. If one of the average values ​​of the standard parameters of the three cycles exceeds the standard temperature parameters, it is judged that the thermal safety management of the battery pack at the corresponding position is normal. If two of the average values ​​of the standard parameters of the three cycles exceed the standard temperature parameters, it is judged that the thermal safety management of the battery pack at the corresponding position needs to be manually determined.

8. The system according to claim 1, characterized in that The prediction and correction end includes a prediction reminder module, a correction model module and a correction tracking module; The prediction reminder module includes a grading unit and an early warning reminder unit; The hierarchical unit is used to perform early warning hierarchical classification according to the thermal runaway prediction data, divide the data predicted to have thermal safety management abnormality into three parts, the three parts correspond to three thermal runaway prediction values, and display the thermal safety management prediction data in real time through computer visualization; The early warning reminder unit is used to give a staged reminder of the predicted thermal safety management data, and to cool down the battery packs with thermal runaway warnings at different locations through temperature sensors and cooling equipment. The cooling data is performed sequentially according to the data divided into three parts.

9. The system according to claim 8, characterized in that The correction model module includes a security model unit and a security correction unit; The safety model unit is used to calculate the difference between the predicted thermal safety management abnormality data and the standard temperature parameter, and generate a thermal safety management model according to the result. If the difference = 0, a thermal safety standard model of battery energy storage is generated; if the difference ≠ 0, a thermal safety abnormality model of battery energy storage is generated; The safety correction unit is used to perform safety correction on the thermal runaway prediction data with a difference value ≠ 0 according to the generated thermal safety abnormality model, and to perform real-time correction on the temperature parameter according to the specific value of the difference. If the difference is a positive number, the temperature parameter is corrected by a subtraction, and if the difference is a negative number, the temperature parameter is corrected by an addition, until the result generates a thermal safety standard model.

10. The system according to claim 9, characterized in that The correction tracking module includes a correction tracking unit and a recording and early warning unit; The correction tracking unit is used to track the temperature parameters and thermal runaway prediction values ​​before and after the correction in real time through a data tracker. If the difference between the temperature parameters and the thermal runaway prediction values ​​before and after the correction is equal to 0, it means that the correction is invalid. The prediction value is calculated again and corrected automatically until it is judged that the correction is effective. If the difference between the temperature parameters and the thermal runaway prediction values ​​before and after the correction is ≠ 0, it means that the correction is effective. The correction is continued until a thermal safety standard model is generated. The recording and early warning unit is used to record the correction data of the generated thermal safety anomaly model in real time through a data recorder, and receive the thermal safety anomaly results obtained by the anomaly analysis unit in real time through a data converter and a data receiver, make an early warning signal in real time, and perform automatic correction of thermal runaway.

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