Control method and control device for thermal runaway of battery in energy storage power station

Abstract

The present application provides a control method and control device for thermal runaway of batteries in energy storage power stations, the method also includes: obtaining the gas concentration in the battery container of the energy storage power station in real time, the gas concentration includes hydrogen concentration and carbon monoxide concentration; calculating the absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration to obtain the gas ratio at the current moment; comparing the gas discrimination factor with the set discrimination factor, determining the control operation strategy, and executing the control operation strategy, the gas discrimination factor is the absolute value of the ratio between the gas ratio and the gas ratio reference value minus 1, and the control operation strategy is a strategy for controlling thermal runaway of batteries in energy storage power stations. This method solves the problem in the prior art that the gas composition is directly analyzed but the gas composition in the environment is affected, resulting in inaccurate detection and thus causing early warning delays or false alarms.

Description

Technical Field

[0001] The present invention relates to the technical field of battery thermal runaway, and in particular to a control method, a control device, a computer-readable storage medium and an energy storage power station battery thermal runaway early warning system. Background Art

[0002] At present, the main solution to prevent thermal runaway is to detect the early fault information of thermal runaway of energy storage batteries, provide early warning in time, and initiate corresponding fire fighting measures. The detection of thermal runaway fault information of energy storage batteries mainly includes battery voltage, internal resistance, temperature, pressure, etc. The online monitoring of thermal runaway characteristic gas components by gas sensors is a traditional method of monitoring gas components through sensors. According to the research status of the internal gas detection and early warning system of energy storage batteries in the early stage of thermal runaway, the changes in specific gas concentrations are analyzed to provide guidance for the safe operation of energy storage monitoring systems. However, there is cross-interference when the gas sensor collects data and directly uses the collected data for thermal runaway warning, resulting in inaccurate gas concentration detection. The gas chromatograph collects and analyzes gas concentration, which is a relatively mature gas detection technology. It can be used in conjunction with other technologies to monitor almost all compounds and can achieve accurate and complete analysis of multi-component mixtures in a short time. It is currently the most widely used material identification and analysis technology. However, the gas sample is required to have high purity and uniformity, otherwise it will affect the separation effect. In the mixed gas scenario of thermal runaway of lithium batteries, using gas sensors to collect data and directly issuing thermal runaway warnings based on the collected data will result in cross-interference and will be easily affected by gases in the air, resulting in inaccurate detection and subsequent warning delays or false alarms. Summary of the invention

[0003] The main purpose of the present application is to provide a control method, a control device, a computer-readable storage medium and a thermal runaway early warning system for a battery in an energy storage power station, so as to at least solve the problem in the prior art of directly analyzing gas composition but being affected by the gas composition in the environment, resulting in inaccurate detection and thus causing early warning delays or false alarms.

[0004] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a control method for thermal runaway of a battery in an energy storage power station is provided, comprising: obtaining the gas concentration in a battery container of the energy storage power station in real time, the gas concentration comprising a hydrogen concentration and a carbon monoxide concentration; calculating the absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration to obtain the gas ratio at the current moment; comparing a gas discrimination factor with a set discrimination factor, determining a control operation strategy, and executing the control operation strategy, the gas discrimination factor being the absolute value of the ratio between the gas ratio and a gas ratio reference value minus 1, and the control operation strategy being a strategy for controlling thermal runaway of the battery in the energy storage power station.

[0005] Optionally, before comparing the gas discrimination factor with the set discrimination factor to determine the control operation strategy, the method further includes: obtaining the battery state of charge and target battery material at the current moment, wherein the target battery material is the battery material used by the battery container; determining a target battery state of charge relationship model according to the target battery material, wherein the expression of the target battery state of charge relationship model is: , is the battery state of charge, are all proportional parameters, is the gas ratio reference value; the battery state of charge is substituted into the target battery state of charge relationship model for calculation to obtain the gas ratio reference value.

[0006] Optionally, before obtaining the gas ratio baseline value by calculating according to the battery state of charge and the gas ratio battery state of charge relationship model, the method further includes: obtaining historical gas concentrations of different battery materials when the battery is in thermal runaway at different battery states of charge, the historical gas concentrations including historical hydrogen concentrations and historical carbon monoxide concentrations, and the battery materials at least including lithium batteries and lithium iron phosphate batteries; a calculation step, calculating all historical gas ratios corresponding to the target battery material at various historical battery states of charge, the target battery material being any one of the battery materials; a fitting step, performing data fitting on the historical battery state of charge and the corresponding historical gas ratio according to the target battery material to obtain the gas ratio battery state of charge relationship model corresponding to the target battery material, the gas ratio battery state of charge relationship model being used to represent the relationship between the gas ratio and the battery state of charge; repeating the calculation step and the fitting step in sequence at least once until the gas ratio battery state of charge relationship model corresponding to all the battery materials is obtained.

[0007] Optionally, the gas discrimination factor is compared with the set discrimination factor to determine the control operation strategy, including: when the gas discrimination factor is less than the first set discrimination factor, determining the control operation strategy as the first operation strategy, the first operation strategy is to issue a first alarm signal and start a passive fire-fighting device, and the passive fire-fighting device is a device for controlling thermal runaway of the battery; when the gas discrimination factor is greater than or equal to the first set discrimination factor and less than the second set discrimination factor, determining the control operation strategy as the second operation strategy, the second operation strategy is to issue a second alarm signal, control the system to stop running and cut off the primary circuit power supply and the secondary circuit power supply, the first set discrimination factor is greater than the second set discrimination factor, the primary circuit power supply is the power supply of the circuit where the primary device is located, and the secondary circuit power supply is the power supply of the circuit where the secondary device is located; when the gas discrimination factor is greater than or equal to the second set discrimination factor and less than the third set discrimination factor, determining the control operation strategy as the third operation strategy, the third operation strategy is to issue a third alarm signal, control the system to stop running and cut off the primary circuit power supply, and the second set discrimination factor is greater than the third set discrimination factor.

[0008] Optionally, after determining that the control operation strategy is the second operation strategy, the method also includes: keeping the gas detection power supply turned on and continuously monitoring the gas concentration in the battery container, the gas detection power supply being the power supply of the circuit where the gas sensor for detecting gas in the battery container is located.

[0009] Optionally, after comparing the gas discrimination factor with the set discrimination factor, determining the control operation strategy, and executing the control operation strategy, the method further includes: obtaining a control effect, wherein the control effect is a current gas discrimination factor obtained after executing the control operation strategy; when the control effect does not meet the set control effect, issuing a fourth alarm signal and adjusting the control operation strategy, wherein the fourth alarm signal is used to prompt that the control operation strategy cannot meet the requirements of the set control effect; when the control effect meets the set control effect, issuing a prompt message, wherein the prompt message is that the safety problem caused by the thermal runaway of the battery has been controlled.

[0010] Optionally, after comparing the gas discrimination factor with the set discrimination factor, determining the control operation strategy, and executing the control operation strategy, the method further includes: real-time monitoring of the gas concentration and the battery state of charge, so as to periodically update the gas ratio-battery state of charge relationship model according to the gas concentration and the battery state of charge.

[0011] According to another aspect of the present application, a control device for thermal runaway of a battery in an energy storage power station is provided, the device comprising: a first acquisition unit, for acquiring in real time the gas concentration in a battery container of the energy storage power station, the gas concentration comprising a hydrogen concentration and a carbon monoxide concentration; a first calculation unit, for calculating the absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration to obtain the gas ratio at the current moment; a first determination unit, for comparing a gas discrimination factor with a set discrimination factor, determining a control operation strategy, and executing the control operation strategy, the gas discrimination factor being the absolute value of the ratio between the gas ratio and a gas ratio reference value minus 1, and the control operation strategy being a strategy for controlling thermal runaway of the battery in the energy storage power station.

[0012] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute any one of the methods described.

[0013] According to another aspect of the present application, a thermal runaway warning system for batteries in an energy storage power station is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of the methods described.

[0014] Applying the technical solution of the present application, in the control method of thermal runaway of batteries in energy storage power stations, first, the gas concentration in the battery container of the energy storage power station is obtained in real time, and the gas concentration includes hydrogen concentration and carbon monoxide concentration; then, the absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration is calculated to obtain the gas ratio at the current moment; finally, the gas discrimination factor is compared with the set discrimination factor, the control operation strategy is determined, and the control operation strategy is executed, the gas discrimination factor is the absolute value of the ratio between the gas ratio and the gas ratio reference value minus 1, and the control operation strategy is a strategy for controlling thermal runaway of batteries in energy storage power stations. The present application monitors the gas content in real time by setting a carbon monoxide gas detection sensor and a hydrogen gas detection sensor (explosion-proof type) in each battery container of the energy storage power station. The absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration is calculated to obtain the gas ratio at the current moment, and the gas ratio and the gas ratio reference value are compared with the set discrimination factor, and an early warning is issued according to the control operation strategy. The present application solves the problem in the prior art that the gas composition is directly analyzed but the gas composition in the environment is affected, resulting in inaccurate detection and thus causing early warning delays or false alarms. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1A hardware structure block diagram of a mobile terminal for executing a control method for thermal runaway of a battery in an energy storage power station provided in an embodiment of the present application is shown;

[0016] Figure 2 A schematic flow chart of a method for controlling thermal runaway of a battery in an energy storage power station provided in accordance with an embodiment of the present application is shown;

[0017] Figure 3 A system operation strategy diagram of a battery thermal runaway warning system for an energy storage power station provided according to an embodiment of the present application is shown;

[0018] Figure 4 A schematic flow chart of a specific method for controlling thermal runaway of a battery in an energy storage power station provided according to an embodiment of the present application is shown;

[0019] Figure 5 A structural block diagram of a control device for thermal runaway of a battery in an energy storage power station provided according to an embodiment of the present application is shown.

[0020] The above drawings include the following reference numerals:

[0021] 102, processor; 104, memory; 106, transmission device; 108, input and output devices. DETAILED DESCRIPTION

[0022] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0023] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] As introduced in the background technology, in the prior art, there is cross interference when using gas sensors to collect data and directly issue thermal runaway warnings based on the collected data, and the data is easily affected by gases in the air. In order to solve the problem that the gas composition is directly analyzed but the gas composition in the environment is affected, resulting in inaccurate detection and thus causing warning delays or false alarms, the embodiments of the present application provide a control method for thermal runaway of a battery in an energy storage power station, a control device, a computer-readable storage medium, and a thermal runaway warning system for a battery in an energy storage power station.

[0026] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0027] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 1 is a hardware structure block diagram of a mobile terminal for a method for controlling thermal runaway of a battery in an energy storage power station according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0028] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the control method for thermal runaway of batteries in energy storage power stations in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, the above method is implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. The transmission device 106 is used to receive or send data via a network. The above-mentioned specific examples of the network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0029] In this embodiment, a control method for thermal runaway of a battery in an energy storage power station running on a mobile terminal, a computer terminal or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0030] Figure 2 1 is a flow chart of a method for controlling thermal runaway of a battery in an energy storage power station according to an embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0031] Step S201, obtaining the gas concentration in the battery container of the energy storage power station in real time, wherein the gas concentration includes the hydrogen concentration and the carbon monoxide concentration.

[0032] Specifically, hydrogen and carbon monoxide will appear first in the early stage of battery thermal runaway, and their concentration changes are most obvious and easy to monitor. Therefore, selecting hydrogen concentration and carbon monoxide concentration as the battery thermal runaway judgment criteria can achieve rapid early warning. Figure 3 As shown, a hydrogen detector and a carbon monoxide detector are used to detect the hydrogen concentration and carbon monoxide concentration in the battery container of the energy storage power station in real time, respectively, and the detected hydrogen concentration and carbon monoxide concentration are transmitted to the host.

[0033] Step S202, calculating the absolute value of the ratio between the above hydrogen concentration and the above carbon monoxide concentration to obtain the gas ratio at the current moment.

[0034] Specifically, the host processes the hydrogen and carbon monoxide concentration data received, calculates the ratio between the hydrogen concentration and the carbon monoxide concentration, and takes the absolute value as the gas ratio at the current moment.

[0035] Step S203, compare the gas discrimination factor with the set discrimination factor, determine the control operation strategy, and execute the above control operation strategy, the above gas discrimination factor is the absolute value of the ratio between the above gas ratio and the gas ratio reference value minus 1, and the above control operation strategy is a strategy for controlling thermal runaway of batteries in the energy storage power station.

[0036] Specifically, the absolute value of the ratio between the gas ratio and the gas ratio reference value minus 1 is calculated to obtain the gas discrimination factor. The closer the gas ratio is to the gas ratio reference value, the more serious the battery thermal runaway is. The calculated gas discrimination factor is compared with the preset discrimination factor, and the corresponding control operation strategy is executed according to the comparison result. Appropriate preventive measures can be taken at different risk levels.

[0037] In this embodiment, in the control method of thermal runaway of batteries in energy storage power stations, first, the gas concentration in the battery container of the energy storage power station is obtained in real time, and the gas concentration includes hydrogen concentration and carbon monoxide concentration; then, the absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration is calculated to obtain the gas ratio at the current moment; finally, the gas discrimination factor is compared with the set discrimination factor, the control operation strategy is determined, and the control operation strategy is executed, the gas discrimination factor is the absolute value of the ratio between the gas ratio and the gas ratio reference value minus 1, and the control operation strategy is a strategy for controlling thermal runaway of batteries in energy storage power stations. The present application monitors the gas content in real time by setting a carbon monoxide gas detection sensor and a hydrogen gas detection sensor (explosion-proof type) in each battery container of the energy storage power station. The absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration is calculated to obtain the gas ratio at the current moment, and the gas ratio and the gas ratio reference value are compared with the set discrimination factor, and an early warning is issued according to the control operation strategy. The present application solves the problem that the gas components are directly analyzed in the prior art, but the gas components in the environment are affected, resulting in inaccurate detection and thus causing early warning delays or false alarms.

[0038] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the method for controlling thermal runaway of batteries in an energy storage power station of the present application will be described in detail below in conjunction with specific embodiments.

[0039] In order to calculate the gas ratio reference value so as to subsequently compare the actual gas ratio with the gas ratio reference value to analyze battery thermal runaway, in an optional implementation, before the above step S203, the method further includes:

[0040] Step S301, obtaining the current battery state of charge and target battery material, where the target battery material is the battery material used in the battery container;

[0041] Step S302, determining a target battery state of charge relationship model according to the target battery material, the expression of the target battery state of charge relationship model is: , is the battery state of charge, are all proportional parameters, is the reference value of the above gas ratio;

[0042] Step S303, substituting the battery state of charge into the target battery state of charge relationship model for calculation to obtain the gas ratio reference value.

[0043] In the above embodiment, the battery charge state in the battery management system is read at time t. , and match the battery material corresponding to the battery container (i.e. the target battery material mentioned above), and determine the target battery state of charge relationship model according to the target battery material, because one battery material corresponds to one battery state of charge relationship model, and the model corresponding to the battery material can be queried from the database to obtain the target battery state of charge relationship model After the query, the proportional parameters are known, and the battery state of charge is calculated according to the target battery state of charge relationship model. Substitute into the calculation to get the gas ratio reference value . In order to subsequently compare the actual gas ratio with the gas ratio baseline value to analyze battery thermal runaway.

[0044] In order to establish the relationship between the gas ratio and the battery state of charge and reduce the risk of thermal runaway of the battery, in an optional implementation, before the above step S303, the method further includes:

[0045] Step S401, obtaining historical gas concentrations of different battery materials when the battery is in thermal runaway at different battery charge states, the historical gas concentrations including historical hydrogen concentrations and historical carbon monoxide concentrations, and the battery materials at least include lithium batteries and lithium iron phosphate batteries;

[0046] Step S402, a calculation step, calculating all historical gas ratios corresponding to a target battery material under various historical battery charge states, the target battery material being any one of the above battery materials;

[0047] Step S403, a fitting step, performing data fitting on the historical battery state of charge and the corresponding historical gas ratio according to the target battery material to obtain a gas ratio battery state of charge relationship model corresponding to the target battery material, wherein the gas ratio battery state of charge relationship model is used to represent the relationship between the gas ratio and the battery state of charge;

[0048] Step S404, repeating the above calculation step and the above fitting step at least once in sequence until the above gas ratio battery state of charge relationship model corresponding to all the above battery materials is obtained.

[0049] In the above embodiment, each battery container of a certain energy storage power station is provided with a plurality of carbon monoxide (CO) gas detection sensors and hydrogen ( ) Gas detection sensor (explosion-proof type) is used to monitor gas content in real time. BMS (battery management system) can measure the state of battery operation online, such as voltage, current, battery rack temperature, battery cluster temperature, single cell surface temperature, SOC (state of charge), etc. According to the battery-related historical data in the battery management system provided by the battery manufacturer and the calibration curve of the gas detection sensor, the hydrogen generated when the battery of different materials and SOC is out of control is sorted out ( ) and carbon monoxide (CO) concentrations, with the corresponding data extracted every 1 second. The hydrogen concentration is recorded as , the carbon monoxide concentration is recorded as , select a certain material and the same SOC to calculate the corresponding historical gas ratio at this time , the gas ratio The corresponding battery SOC percentage Matching. You can use the polyfit function in MATLAB to fit the data, select a third-order polynomial model according to the trend line of the historical data, and obtain the relationship model between the gas ratio and the battery state of charge during the historical battery thermal runaway: Each battery material uses the above calculation steps and fitting steps to obtain the corresponding gas ratio battery charge state relationship model. The difference between the models corresponding to different battery materials lies in the ratio parameters of different battery materials. The thermal runaway of different battery materials at different states of charge is studied through historical data and fitting models, especially the change of gas concentration. By modeling the relationship between gas ratio and battery state of charge, it can help reduce the risk of thermal runaway of the battery and improve the safety and stability of the battery.

[0050] In order to effectively control the thermal runaway of the battery, in an optional implementation manner, the above step S203 includes:

[0051] Step S2031, when the gas discrimination factor is less than the first set discrimination factor, determining the control operation strategy as the first operation strategy, the first operation strategy is to send a first alarm signal and start a passive fire-fighting device, the passive fire-fighting device is a device for controlling battery thermal runaway;

[0052] Step S2032, when the gas discrimination factor is greater than or equal to the first set discrimination factor and less than the second set discrimination factor, determine that the control operation strategy is the second operation strategy, the second operation strategy is to send a second alarm signal, the control system stops running and cuts off the primary circuit power supply and the secondary circuit power supply, the first set discrimination factor is greater than the second set discrimination factor, the primary circuit power supply is the power supply of the circuit where the primary device is located, and the secondary circuit power supply is the power supply of the circuit where the secondary device is located;

[0053] Step S2033, when the gas discrimination factor is greater than or equal to the second set discrimination factor and less than the third set discrimination factor, the control operation strategy is determined to be the third operation strategy, and the third operation strategy is to issue a third alarm signal, control the system to stop running and cut off the primary circuit power supply, and the second set discrimination factor is greater than the third set discrimination factor.

[0054] In the above embodiment, if Figure 3 As shown, when The first alarm signal is sent out, and the linkage module is started by the control host, and then the passive fire protection device is started. Figure 3 The passive fire-fighting device is not drawn in the figure, because the position of the passive fire-fighting device can be set according to the degree of thermal runaway, as long as the linkage module is connected to the passive fire-fighting device). The linkage module is connected to the passive fire-fighting device, and after the linkage module is started, the passive fire-fighting device can be controlled to start to control the battery thermal runaway. The processing methods include but are not limited to destroying the battery container, cooling the battery container, or releasing gas to make the battery container unable to work. The first alarm indicates that the battery is on the verge of complete loss of control, and only passive safety fire-fighting can be executed to protect the safety of the energy storage power station and other equipment in the energy storage power station. At that time The second alarm signal is issued, the thermal runaway warning system of the energy storage power station battery stops running, and the primary and secondary circuit power supplies are cut off. The third alarm signal is issued, the thermal runaway warning system of the energy storage power station battery stops running, and the primary circuit power supply is cut off. That is the above-mentioned gas discrimination factor, 0.1, 0.2, 0.3 are the above-mentioned first setting discrimination factor, the above-mentioned second setting discrimination factor and the above-mentioned third setting discrimination factor respectively. Of course, the above-mentioned first setting discrimination factor, the above-mentioned second setting discrimination factor and the above-mentioned third setting discrimination factor can be set by technical personnel in this field according to actual conditions.

[0055] In order to minimize the risk of thermal runaway caused by gas leakage, in an optional implementation, after the above step S2032, the method further includes:

[0056] Step S501, keep the gas detection power supply turned on, and continue to monitor the gas concentration in the battery container. The gas detection power supply is the power supply of the circuit where the gas sensor for detecting gas in the battery container is located.

[0057] In the above embodiment, when the above control operation strategy is determined to be the second operation strategy, only the power supply for gas detection is reserved to ensure continuous monitoring of the gas in the battery container after the alarm, so as to obtain data as a reference for subsequent processing such as battery maintenance. The gas detection power supply is specifically used to power the gas detection sensor when the main power supply is cut off. Battery thermal runaway may not occur immediately, so it is necessary to continuously monitor changes in gas concentration so that abnormalities can be detected in time and measures can be taken to minimize the risk of thermal runaway caused by gas leakage.

[0058] In order to further ensure that the thermal runaway of the battery is effectively controlled, in an optional implementation manner, after the above step S203, the method further includes:

[0059] Step S501, obtaining a control effect, where the control effect is a current gas discrimination factor obtained after executing the control operation strategy;

[0060] Step S502, when the control effect does not meet the set control effect, a fourth alarm signal is issued and the control operation strategy is adjusted, wherein the fourth alarm signal is used to prompt that the control operation strategy cannot meet the set control effect requirement;

[0061] Step S503: When the control effect satisfies the set control effect, a prompt message is issued, and the prompt message indicates that the safety problem caused by the battery thermal runaway has been controlled.

[0062] In the above embodiment, in order to further ensure that the battery thermal runaway is effectively controlled, the gas concentration can be re-detected after the first control strategy is executed to calculate the current gas discrimination factor, and the battery thermal runaway judgment can be performed again. If the current gas discrimination factor is still greater than the corresponding set discrimination factor, it means that the battery fire protection effect has not been achieved after the first control strategy is executed, and the system sends a fourth alarm signal, indicating that the control strategy needs to be adjusted, such as increasing the monitoring frequency, adjusting the alarm threshold, etc. It also indicates that there is an error in the early warning system and emergency manual disposal is required, which can timely discover the potential risks caused by thermal runaway. If the current gas discrimination factor is less than the corresponding set discrimination factor, it means that the safety problem caused by the battery thermal runaway is effectively controlled. For example, when the first control strategy is executed as the third operation strategy, it is detected again after the first control strategy is executed. It is found that the current gas discrimination factor is greater than 0.3 or even greater, indicating that the safety problem caused by thermal runaway is controlled.

[0063] In order to reduce false alarms caused by data fluctuations or environmental interference, in an optional implementation, after the above step S203, the method further includes:

[0064] Step S601 , monitoring the gas concentration and the battery state of charge in real time, so as to regularly update the gas ratio-battery state of charge relationship model according to the gas concentration and the battery state of charge.

[0065] In the above embodiment, real-time monitoring of the hydrogen in the battery container of the energy storage power station ( ) concentration and carbon monoxide (CO) concentration. Use the BMS system to monitor the operating status of the battery in real time, including voltage, current, temperature and SOC. Transmit the collected gas concentration data and battery state of charge data to the host. Use data buffering technology to collect and store these data at certain time intervals (such as every second). Use MATLAB or other data processing software to dynamically update the relationship model between gas ratio and battery state of charge based on real-time data and historical data using statistical methods (such as third-order polynomial regression) or machine learning algorithms (such as neural networks). During the use of the battery, its performance will gradually change. Real-time updating of the model can adapt to these changes and ensure the long-term effectiveness of the early warning system. An accurate model can reduce false alarms caused by data fluctuations or environmental interference and improve the practicality of the system.

[0066] This embodiment relates to a specific method for controlling thermal runaway of batteries in energy storage power stations, such as Figure 4 As shown, the following steps are included:

[0067] Step S1: Based on the historical data provided by the battery manufacturer and the curve obtained by sensor calibration, the hydrogen generated when the battery with different materials and SOC is thermally runaway is sorted out ( ) concentration and carbon monoxide (CO) concentration, and the corresponding data are extracted every 1 second;

[0068] Step S2: Select a certain material and calculate the corresponding gas ratio of the same SOC battery ;

[0069] Step S3: selecting a third-order polynomial model according to the trend line of historical data to obtain a gas ratio-battery SOC relationship model during historical battery thermal runaway;

[0070] Step S4: The gas sensor in the battery container of the energy storage power station detects hydrogen in real time ( ), the concentration of carbon monoxide (CO) is recorded as , , the background calculates the gas ratio at time t ;

[0071] Step S5: Read the battery SOC percentage in the BMS at time t , and match the corresponding battery materials, and calculate according to the gas ratio-battery SOC relationship model Get the gas ratio reference value ,

[0072] Step S6: and Perform comparative calculations and issue warnings according to system operation strategies.

[0073] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0074] The embodiment of the present application also provides a control device for thermal runaway of a battery in an energy storage power station. It should be noted that the control device for thermal runaway of a battery in an energy storage power station in the embodiment of the present application can be used to execute the control method for thermal runaway of a battery in an energy storage power station provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation modes, and those that have been described will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0075] The following is an introduction to the control device for thermal runaway of batteries in an energy storage power station provided in an embodiment of the present application.

[0076] Figure 5 is a structural block diagram of a control device for thermal runaway of a battery in an energy storage power station according to an embodiment of the present application. Figure 5 As shown, the device comprises:

[0077] The first acquisition unit 10 is used to acquire the gas concentration in the battery container of the energy storage power station in real time, where the gas concentration includes the hydrogen concentration and the carbon monoxide concentration.

[0078] Specifically, hydrogen and carbon monoxide will appear first in the early stage of battery thermal runaway, and their concentration changes are most obvious and easy to monitor. Therefore, selecting hydrogen concentration and carbon monoxide concentration as the battery thermal runaway judgment criteria can achieve rapid early warning. Figure 3 As shown, a hydrogen detector and a carbon monoxide detector are used to detect the hydrogen concentration and carbon monoxide concentration in the battery container of the energy storage power station in real time, respectively, and the detected hydrogen concentration and carbon monoxide concentration are transmitted to the host.

[0079] The first calculation unit 20 is used to calculate the absolute value of the ratio between the above hydrogen concentration and the above carbon monoxide concentration to obtain the gas ratio at the current moment.

[0080] Specifically, the host processes the hydrogen and carbon monoxide concentration data received, calculates the ratio between the hydrogen concentration and the carbon monoxide concentration, and takes the absolute value as the gas ratio at the current moment.

[0081] The first determination unit 30 is used to compare the gas discrimination factor with the set discrimination factor, determine the control operation strategy, and execute the above control operation strategy. The above gas discrimination factor is the absolute value of the ratio between the above gas ratio and the gas ratio reference value minus 1. The above control operation strategy is a strategy for controlling thermal runaway of batteries in the energy storage power station.

[0082] Specifically, the absolute value of the ratio between the gas ratio and the gas ratio reference value minus 1 is calculated to obtain the gas discrimination factor. The closer the gas ratio is to the gas ratio reference value, the more serious the battery thermal runaway is. The calculated gas discrimination factor is compared with the preset discrimination factor, and the corresponding control operation strategy is executed according to the comparison result. Appropriate preventive measures can be taken at different risk levels.

[0083] In this embodiment, the first acquisition unit is used to obtain the gas concentration in the battery container of the energy storage power station in real time, and the gas concentration includes hydrogen concentration and carbon monoxide concentration; the first calculation unit is used to calculate the absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration to obtain the gas ratio at the current moment; the first determination unit is used to compare the gas discrimination factor with the set discrimination factor, determine the control operation strategy, and execute the control operation strategy, the gas discrimination factor is the absolute value of the ratio between the gas ratio and the gas ratio reference value minus 1, and the control operation strategy is a strategy for controlling the thermal runaway of the battery of the energy storage power station. The present application monitors the gas content in real time by setting a carbon monoxide gas detection sensor and a hydrogen gas detection sensor (explosion-proof type) in each battery container of the energy storage power station. The absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration is calculated to obtain the gas ratio at the current moment, and the gas ratio and the gas ratio reference value are compared with the set discrimination factor, and an early warning is issued according to the control operation strategy. The present application solves the problem that the gas components are directly analyzed in the prior art, but the gas components in the environment are affected, resulting in inaccurate detection and thus causing early warning delays or false alarms.

[0084] In order to calculate the gas ratio reference value so as to subsequently compare the actual gas ratio with the gas ratio reference value to analyze battery thermal runaway, in an optional implementation manner, the device further includes:

[0085] A second acquisition unit is used to obtain the battery state of charge and target battery material at the current moment before comparing the gas discrimination factor with the set discrimination factor to determine the control operation strategy, wherein the target battery material is the battery material used in the battery container;

[0086] The second determination unit determines a target battery state of charge relationship model according to the target battery material. The expression of the target battery state of charge relationship model is: , is the battery state of charge, are all proportional parameters, is the reference value of the above gas ratio;

[0087] The second calculation unit is used to substitute the battery state of charge into the target battery state of charge relationship model to perform calculation to obtain the gas ratio reference value.

[0088] In the above embodiment, the battery charge state in the battery management system is read at time t. , and match the battery material corresponding to the battery container (i.e. the target battery material mentioned above), and determine the target battery state of charge relationship model according to the target battery material, because one battery material corresponds to one battery state of charge relationship model, and the model corresponding to the battery material can be queried from the database to obtain the target battery state of charge relationship model After the query, the proportional parameters are known, and the battery state of charge is calculated according to the target battery state of charge relationship model. Substitute into the calculation to get the gas ratio reference value . In order to subsequently compare the actual gas ratio with the gas ratio baseline value to analyze battery thermal runaway.

[0089] In order to establish the relationship between the gas ratio and the battery state of charge and reduce the risk of thermal runaway of the battery, in an optional embodiment, the device further includes:

[0090] A third acquisition unit is used to obtain the historical gas concentrations of different battery materials when the battery is in thermal runaway at different battery states of charge before obtaining the gas ratio reference value by calculating according to the battery state of charge and gas ratio battery state of charge relationship model, the historical gas concentrations including historical hydrogen concentrations and historical carbon monoxide concentrations, and the battery materials at least including lithium batteries and lithium iron phosphate batteries;

[0091] A third calculation unit is used to execute a calculation step to calculate all historical gas ratios corresponding to a target battery material under various historical battery charge states, wherein the target battery material is any one of the above battery materials;

[0092] A fitting unit, used to perform a fitting step, performing data fitting on the historical battery state of charge and the corresponding historical gas ratio according to the target battery material, to obtain a gas ratio battery state of charge relationship model corresponding to the target battery material, wherein the gas ratio battery state of charge relationship model is used to represent the relationship between the gas ratio and the battery state of charge;

[0093] A repeating unit is used to sequentially repeat the above calculation step and the above fitting step at least once until the above gas ratio battery charge state relationship model corresponding to all the above battery materials is obtained.

[0094] In the above embodiment, each battery container of a certain energy storage power station is provided with a plurality of carbon monoxide (CO) gas detection sensors and hydrogen ( ) Gas detection sensor (explosion-proof type) is used to monitor gas content in real time. BMS (battery management system) can measure the state of battery operation online, such as voltage, current, battery rack temperature, battery cluster temperature, single cell surface temperature, SOC (state of charge), etc. According to the battery-related historical data in the battery management system provided by the battery manufacturer and the calibration curve of the gas detection sensor, the hydrogen generated when the battery of different materials and SOC is out of control is sorted out ( ) concentration and carbon monoxide (CO) concentration, and the corresponding data are extracted every 1 second. The hydrogen concentration is recorded as , the carbon monoxide concentration is recorded as , select a certain material and the same SOC to calculate the corresponding historical gas ratio at this time , the gas ratio The corresponding battery SOC percentage Matching. You can use the polyfit function in MATLAB to fit the data, select a third-order polynomial model according to the trend line of the historical data, and obtain the relationship model between the gas ratio and the battery state of charge during the historical battery thermal runaway: Each battery material uses the above calculation steps and fitting steps to obtain the corresponding gas ratio battery charge state relationship model. The difference between the models corresponding to different battery materials lies in the ratio parameters of different battery materials. The thermal runaway of different battery materials at different states of charge is studied through historical data and fitting models, especially the change of gas concentration. By modeling the relationship between gas ratio and battery state of charge, it can help reduce the risk of thermal runaway of the battery and improve the safety and stability of the battery.

[0095] In order to effectively control thermal runaway of the battery, in an optional implementation manner, the first determining unit includes:

[0096] A first determination module, when the gas discrimination factor is less than a first set discrimination factor, determines that the control operation strategy is a first operation strategy, the first operation strategy is to send a first alarm signal and start a passive fire-fighting device, the passive fire-fighting device is a device for controlling thermal runaway of the battery;

[0097] The second determination module determines that the control operation strategy is the second operation strategy when the gas discrimination factor is greater than or equal to the first set discrimination factor and less than the second set discrimination factor. The second operation strategy is to send a second alarm signal, stop the control system and cut off the primary circuit power supply and the secondary circuit power supply. The first set discrimination factor is greater than the second set discrimination factor. The primary circuit power supply is the power supply of the circuit where the primary device is located, and the secondary circuit power supply is the power supply of the circuit where the secondary device is located.

[0098] The third determination module determines that the control operation strategy is the third operation strategy when the gas discrimination factor is greater than or equal to the second set discrimination factor and less than the third set discrimination factor. The third operation strategy is to issue a third alarm signal, control the system to stop running and cut off the primary circuit power supply. The second set discrimination factor is greater than the third set discrimination factor.

[0099] In the above embodiment, if Figure 3 As shown, when The first alarm signal is sent out, and the linkage module is started by the control host, and then the passive fire protection device is started. Figure 3 The passive fire-fighting device is not drawn in the figure, because the position of the passive fire-fighting device can be set according to various degrees of thermal runaway, as long as the linkage module is connected to the passive fire-fighting device). The linkage module is connected to the passive fire-fighting device, and after the linkage module is started, the passive fire-fighting device can be controlled to start to control the battery thermal runaway. The processing methods include but are not limited to destroying the battery container, cooling the battery container, or releasing gas to make the battery container unable to work. The first alarm indicates that the battery is on the verge of complete loss of control, and only passive safety fire-fighting can be executed to protect the safety of the energy storage power station and other equipment in the energy storage power station. When The second alarm signal is issued, the thermal runaway warning system of the energy storage power station battery stops running, and the primary and secondary circuit power supplies are cut off. The third alarm signal is issued, the thermal runaway warning system of the energy storage power station battery stops running, and the primary circuit power supply is cut off. That is the above-mentioned gas discrimination factor, 0.1, 0.2, 0.3 are the above-mentioned first setting discrimination factor, the above-mentioned second setting discrimination factor and the above-mentioned third setting discrimination factor respectively. Of course, the above-mentioned first setting discrimination factor, the above-mentioned second setting discrimination factor and the above-mentioned third setting discrimination factor can be set by technical personnel in this field according to actual conditions.

[0100] In order to minimize the risk of thermal runaway caused by gas leakage, in an optional embodiment, the device further includes:

[0101] The monitoring unit is used to keep the gas detection power supply turned on and continuously monitor the gas concentration in the battery container after determining that the above-mentioned control operation strategy is the second operation strategy. The above-mentioned gas detection power supply is the power supply of the circuit where the gas sensor for detecting gas in the above-mentioned battery container is located.

[0102] In the above embodiment, when the above control operation strategy is determined to be the second operation strategy, only the power supply for gas detection is reserved to ensure continuous monitoring of the gas in the battery container after the alarm, so as to obtain data as a reference for subsequent processing such as battery maintenance. The gas detection power supply is specifically used to power the gas detection sensor when the main power supply is cut off. Battery thermal runaway may not occur immediately, so it is necessary to continuously monitor changes in gas concentration so that abnormalities can be detected in time and measures can be taken to minimize the risk of thermal runaway caused by gas leakage.

[0103] In order to further ensure that the thermal runaway of the battery is effectively controlled, in an optional implementation manner, the device further includes:

[0104] a fourth acquisition unit, configured to obtain a control effect after comparing the gas discrimination factor with the set discrimination factor, determining a control operation strategy, and executing the control operation strategy, wherein the control effect is a current gas discrimination factor obtained after executing the control operation strategy;

[0105] The first issuing unit is used to issue a fourth alarm signal and adjust the control operation strategy when the control effect does not meet the set control effect, and the fourth alarm signal is used to prompt that the control operation strategy cannot meet the requirements of the set control effect;

[0106] The second issuing unit is used to issue a prompt message when the control effect meets the set control effect, and the prompt message indicates that the safety problem caused by the battery thermal runaway has been controlled.

[0107] In the above embodiment, in order to further ensure that the battery thermal runaway is effectively controlled, the gas concentration can be re-detected after the first control strategy is executed to calculate the current gas discrimination factor, and the battery thermal runaway judgment can be performed again. If the current gas discrimination factor is still greater than the corresponding set discrimination factor, it means that the battery fire protection effect has not been achieved after the first control strategy is executed, and the system sends a fourth alarm signal, indicating that the control strategy needs to be adjusted, such as increasing the monitoring frequency, adjusting the alarm threshold, etc. It also indicates that there is an error in the early warning system and emergency manual disposal is required, which can timely discover the potential risks caused by thermal runaway. If the current gas discrimination factor is less than the corresponding set discrimination factor, it means that the safety problem caused by the battery thermal runaway is effectively controlled. For example, when the first control strategy is executed as the third operation strategy, the gas concentration is detected again after the first control strategy is executed, and it is found that the current gas discrimination factor is greater than 0.3 or even greater, indicating that the safety problem caused by thermal runaway is controlled.

[0108] In order to reduce false alarms caused by data fluctuations or environmental interference, in an optional implementation manner, the device further includes:

[0109] The updating unit is used to monitor the gas concentration and the battery state of charge in real time after comparing the gas discrimination factor with the set discrimination factor, determining the control operation strategy, and executing the control operation strategy, so as to regularly update the gas ratio-battery state of charge relationship model according to the gas concentration and the battery state of charge.

[0110] In the above embodiment, real-time monitoring of the hydrogen in the battery container of the energy storage power station ( ) and carbon monoxide (CO) concentrations. Use the BMS system to monitor the operating status of the battery in real time, including voltage, current, temperature, and SOC. Transmit the collected gas concentration data and battery state of charge data to the host. Use data buffering technology to collect and store these data at certain time intervals (such as every second). Use MATLAB or other data processing software to dynamically update the relationship model between gas ratio and battery state of charge based on real-time data and historical data using statistical methods (such as third-order polynomial regression) or machine learning algorithms (such as neural networks). During the use of the battery, its performance will gradually change. Real-time updating of the model can adapt to these changes and ensure the long-term effectiveness of the early warning system. An accurate model can reduce false alarms caused by data fluctuations or environmental interference and improve the practicality of the system.

[0111] The control device for thermal runaway of batteries in the energy storage power station includes a processor and a memory. The first acquisition unit, the first calculation unit, the first determination unit, etc. are all stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions. The above modules are all located in the same processor; or, the above modules are located in different processors in any combination.

[0112] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be set, and the kernel parameters can be adjusted to solve the problem in the prior art that the gas composition is directly analyzed but the gas composition in the environment affects the detection, resulting in inaccurate warning delays or false alarms.

[0113] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0114] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the control method for thermal runaway of batteries in the energy storage power station.

[0115] Specifically, the control method for thermal runaway of batteries in energy storage power stations includes:

[0116] Step S201, obtaining the gas concentration in the battery container of the energy storage power station in real time, the gas concentration including the hydrogen concentration and the carbon monoxide concentration;

[0117] Step S202, calculating the absolute value of the ratio between the above hydrogen concentration and the above carbon monoxide concentration to obtain the gas ratio at the current moment;

[0118] Step S203, compare the gas discrimination factor with the set discrimination factor, determine the control operation strategy, and execute the above control operation strategy, the above gas discrimination factor is the absolute value of the ratio between the above gas ratio and the gas ratio reference value minus 1, and the above control operation strategy is a strategy for controlling thermal runaway of batteries in the energy storage power station.

[0119] An embodiment of the present invention provides a processor, which is used to run a program, wherein the control method for thermal runaway of a battery in an energy storage power station is executed when the program is run.

[0120] Specifically, the control method for thermal runaway of batteries in energy storage power stations includes:

[0121] Step S201, obtaining the gas concentration in the battery container of the energy storage power station in real time, the gas concentration including the hydrogen concentration and the carbon monoxide concentration;

[0122] Step S202, calculating the absolute value of the ratio between the above hydrogen concentration and the above carbon monoxide concentration to obtain the gas ratio at the current moment;

[0123] Step S203, compare the gas discrimination factor with the set discrimination factor, determine the control operation strategy, and execute the above control operation strategy, the above gas discrimination factor is the absolute value of the ratio between the above gas ratio and the gas ratio reference value minus 1, and the above control operation strategy is a strategy for controlling thermal runaway of batteries in the energy storage power station.

[0124] An embodiment of the present invention provides a thermal runaway warning system for a battery in an energy storage power station. The thermal runaway warning system for a battery in an energy storage power station includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, at least the following steps are implemented:

[0125] Step S201, obtaining the gas concentration in the battery container of the energy storage power station in real time, the gas concentration including the hydrogen concentration and the carbon monoxide concentration;

[0126] Step S202, calculating the absolute value of the ratio between the above hydrogen concentration and the above carbon monoxide concentration to obtain the gas ratio at the current moment;

[0127] Step S203, compare the gas discrimination factor with the set discrimination factor, determine the control operation strategy, and execute the above control operation strategy, the above gas discrimination factor is the absolute value of the ratio between the above gas ratio and the gas ratio reference value minus 1, and the above control operation strategy is a strategy for controlling thermal runaway of batteries in the energy storage power station.

[0128] The energy storage power station battery thermal runaway warning system in this article can be a server, PC, PAD, mobile phone, etc.

[0129] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program for initializing at least the following method steps:

[0130] Step S201, obtaining the gas concentration in the battery container of the energy storage power station in real time, the gas concentration including the hydrogen concentration and the carbon monoxide concentration;

[0131] Step S202, calculating the absolute value of the ratio between the above hydrogen concentration and the above carbon monoxide concentration to obtain the gas ratio at the current moment;

[0132] Step S203, compare the gas discrimination factor with the set discrimination factor, determine the control operation strategy, and execute the above control operation strategy, the above gas discrimination factor is the absolute value of the ratio between the above gas ratio and the gas ratio reference value minus 1, and the above control operation strategy is a strategy for controlling thermal runaway of batteries in the energy storage power station.

[0133] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0134] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0135] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0136] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0137] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0138] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0139] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0140] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0141] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0142] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0143] 1) The control method of thermal runaway of the battery of the energy storage power station of the present application, first, obtain the gas concentration in the battery container of the energy storage power station in real time, the gas concentration includes hydrogen concentration and carbon monoxide concentration; then, calculate the absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration to obtain the gas ratio at the current moment; finally, compare the gas discrimination factor with the set discrimination factor, determine the control operation strategy, and execute the control operation strategy, the gas discrimination factor is the absolute value of the ratio between the gas ratio and the gas ratio reference value minus 1, and the control operation strategy is a strategy for controlling the thermal runaway of the battery of the energy storage power station. The present application monitors the gas content in real time by setting a carbon monoxide gas detection sensor and a hydrogen gas detection sensor (explosion-proof type) in each battery container of the energy storage power station. The absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration is calculated to obtain the gas ratio at the current moment, and the gas ratio and the gas ratio reference value are compared with the set discrimination factor, and an early warning is issued according to the control operation strategy. The present application solves the problem that the gas composition is directly analyzed in the prior art, but the gas composition in the environment is affected, resulting in inaccurate detection and thus causing early warning delay or false alarm.

[0144] 2) The control device for thermal runaway of batteries in the energy storage power station of the present application, the first acquisition unit, is used to obtain the gas concentration in the battery container of the energy storage power station in real time, and the above-mentioned gas concentration includes hydrogen concentration and carbon monoxide concentration; the first calculation unit is used to calculate the absolute value of the ratio between the above-mentioned hydrogen concentration and the above-mentioned carbon monoxide concentration to obtain the gas ratio at the current moment; the first determination unit is used to compare the gas discrimination factor with the set discrimination factor, determine the control operation strategy, and execute the above-mentioned control operation strategy, the above-mentioned gas discrimination factor is the absolute value of the ratio between the above-mentioned gas ratio and the gas ratio reference value minus 1, and the above-mentioned control operation strategy is a strategy for controlling the thermal runaway of batteries in the energy storage power station. The present application monitors the gas content in real time by setting a carbon monoxide gas detection sensor and a hydrogen gas detection sensor (explosion-proof type) in each battery container of the energy storage power station. The absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration is calculated to obtain the gas ratio at the current moment, and the gas ratio and the gas ratio reference value are compared with the set discrimination factor, and an early warning is issued according to the control operation strategy. The present application solves the problem in the prior art that the gas composition is directly analyzed but the gas composition in the environment is affected, resulting in inaccurate detection and thus causing early warning delays or false alarms.

[0145] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for controlling thermal runaway of batteries in energy storage power stations, characterized in that: include: Acquire the gas concentration in the battery container of the energy storage power station in real time, wherein the gas concentration includes the hydrogen concentration and the carbon monoxide concentration; Calculate the absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration to obtain the gas ratio at the current moment; Comparing the gas discrimination factor with the set discrimination factor, determining a control operation strategy, and executing the control operation strategy, wherein the gas discrimination factor is the absolute value of the ratio between the gas ratio and the gas ratio reference value minus 1, and the control operation strategy is a strategy for controlling thermal runaway of batteries in the energy storage power station; Before comparing the gas discrimination factor with the set discrimination factor and determining the control operation strategy, it also includes: Obtaining the current battery state of charge and target battery material, where the target battery material is the battery material used in the battery container; The target battery state of charge relationship model is determined according to the target battery material, and the expression of the target battery state of charge relationship model is: , is the battery state of charge, are all proportional parameters, is the gas ratio reference value; The battery state of charge is substituted into the target battery state of charge relationship model for calculation to obtain the gas ratio reference value.

2. The method according to claim 1, characterized in that: Before obtaining the gas ratio reference value by calculating according to the battery state of charge and gas ratio battery state of charge relationship model, the method further includes: Obtaining historical gas concentrations of different battery materials when the battery is in thermal runaway at different battery charge states, the historical gas concentrations including historical hydrogen concentrations and historical carbon monoxide concentrations, and the battery materials including at least lithium batteries and lithium iron phosphate batteries; A calculation step, calculating all historical gas ratios corresponding to a target battery material under various historical battery charge states, wherein the target battery material is any one of the battery materials; A fitting step, performing data fitting on the historical battery state of charge and the corresponding historical gas ratio according to the target battery material to obtain a gas ratio battery state of charge relationship model corresponding to the target battery material, wherein the gas ratio battery state of charge relationship model is used to represent the relationship between the gas ratio and the battery state of charge; The calculation step and the fitting step are repeated at least once in sequence until the gas proportion battery state of charge relationship model corresponding to all the battery materials is obtained.

3. The method according to claim 1, characterized in that Compare the gas discrimination factor with the set discrimination factor to determine the control operation strategy, including: When the gas discrimination factor is less than the first set discrimination factor, determining the control operation strategy to be the first operation strategy, the first operation strategy is to send a first alarm signal and start a passive fire-fighting device, the passive fire-fighting device is a device for controlling thermal runaway of the battery; In the case where the gas discrimination factor is greater than or equal to the first set discrimination factor and less than the second set discrimination factor, the control operation strategy is determined to be the second operation strategy, the second operation strategy is to send a second alarm signal, the control system stops running and cuts off the primary circuit power supply and the secondary circuit power supply, the first set discrimination factor is greater than the second set discrimination factor, the primary circuit power supply is the power supply of the circuit where the primary device is located, and the secondary circuit power supply is the power supply of the circuit where the secondary device is located; When the gas discrimination factor is greater than or equal to the second set discrimination factor and less than the third set discrimination factor, the control operation strategy is determined to be the third operation strategy, and the third operation strategy is to issue a third alarm signal, control the system to stop running and cut off the primary circuit power supply, and the second set discrimination factor is greater than the third set discrimination factor.

4. The method according to claim 3, characterized in that After determining that the control operation strategy is the second operation strategy, the method further includes: The gas detection power supply is kept turned on, and the gas concentration in the battery container is continuously monitored. The gas detection power supply is the power supply of the circuit where the gas sensor for detecting gas in the battery container is located.

5. The method according to claim 1, characterized in that: After comparing the gas discrimination factor with the set discrimination factor, determining the control operation strategy, and executing the control operation strategy, the method further includes: Obtaining a control effect, wherein the control effect is a current gas discrimination factor obtained after executing the control operation strategy; In the case where the control effect does not meet the set control effect, a fourth alarm signal is issued and the control operation strategy is adjusted, wherein the fourth alarm signal is used to prompt that the control operation strategy cannot meet the requirements of the set control effect; When the control effect satisfies the set control effect, a prompt message is issued, wherein the prompt message indicates that the safety problem caused by the thermal runaway of the battery has been controlled.

6. The method according to claim 1, characterized in that After comparing the gas discrimination factor with the set discrimination factor, determining the control operation strategy, and executing the control operation strategy, the method further includes: The gas concentration and the battery state of charge are monitored in real time to periodically update the target battery state of charge relationship model according to the gas concentration and the battery state of charge.

7. A control device for thermal runaway of batteries in energy storage power stations, characterized in that: The device comprises: A first acquisition unit, used to acquire the gas concentration in the battery container of the energy storage power station in real time, wherein the gas concentration includes the hydrogen concentration and the carbon monoxide concentration; A first calculation unit, used for calculating the absolute value of the ratio between the hydrogen concentration and the carbon monoxide concentration to obtain the gas ratio at the current moment; a first determination unit, configured to compare a gas discrimination factor with a set discrimination factor, determine a control operation strategy, and execute the control operation strategy, wherein the gas discrimination factor is an absolute value of a ratio between the gas ratio and a gas ratio reference value minus 1, and the control operation strategy is a strategy for controlling thermal runaway of a battery in an energy storage power station; A second acquisition unit is used to obtain the battery state of charge and target battery material at the current moment before comparing the gas discrimination factor with the set discrimination factor to determine the control operation strategy, wherein the target battery material is the battery material used by the battery container; The second determining unit is used to determine a target battery state of charge relationship model according to the target battery material, and the expression of the target battery state of charge relationship model is: , is the battery state of charge, are all proportional parameters, is the gas ratio reference value; The second calculation unit is used to substitute the battery state of charge into the target battery state of charge relationship model to perform calculation to obtain the gas ratio reference value.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method according to any one of claims 1 to 6.

9. A thermal runaway warning system for batteries in energy storage power stations, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of claims 1 to 6.

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