CN114693121A - Energy storage battery safety management method, device, medium and equipment - Google Patents

Abstract

The embodiment of the invention discloses a safety management method for an energy storage battery. According to the basic parameters and control instructions of the energy storage battery, various prediction curves when executing the instructions are determined; the current basic parameters of the energy storage battery are called in real time to generate various real-time curves; when a real-time curve corresponds to When the coincidence degree of the predicted curve of the battery is lower than the preset threshold, an alarm will be issued, which can prepare in advance or enter the risk prevention state, and timely detect the risk of abuse of the energy storage battery, and effectively avoid the occurrence of safety problems.

Description

An energy storage battery safety management method, device, medium and equipment

technical field

Embodiments of the present invention relate to the field of large-scale chemical energy storage, for example, to a method, device, medium and device for safety management of an energy storage battery.

Background technique

At present, in the field of large-scale chemical energy storage, due to the advantages of high energy density, environmental protection, and long life, lithium-ion batteries are widely used in various energy storage scenarios, especially large-scale energy storage scenarios.

Large-scale energy storage systems are composed of energy storage batteries, battery packs, battery clusters, battery management systems, energy storage converters, boost systems, energy management systems, and other auxiliary systems such as temperature control and fire protection, which communicate and control each other. Large-scale energy storage systems contain a large number of energy storage batteries and a huge amount of data, so safety management is becoming more and more difficult.

However, the existing technology belongs to post-event management, which relies on the accuracy of monitoring battery key information and the timeliness of data transmission. It has high requirements in all aspects, and also limits the number of batteries controlled by the battery management system, and often cannot find batteries in time. The risk of being abused needs to be fed back to the energy management system when the risk of abuse has occurred or is about to occur, and then the corresponding control instructions are issued, often missing the best time and causing unnecessary losses.

SUMMARY OF THE INVENTION

The embodiments of the present invention provide an energy storage battery safety management method, device, medium and equipment, which can enter a risk prevention state in advance, discover the risk of the energy storage battery being abused in time, and avoid potential safety hazards.

In a first aspect, an embodiment of the present invention provides a method for safety management of an energy storage battery, the method comprising:

According to the basic parameters and control instructions of the energy storage battery, determine various prediction curves when it executes the instructions;

Calling the current basic parameters of the energy storage battery in real time to generate a variety of real-time curves, wherein the predicted curve is set to be output t seconds ahead of the real-time curve;

When the coincidence degree of a real-time curve and its corresponding predicted curve is lower than the preset threshold, an alarm will be issued.

Optionally, the method further includes: when the longitudinal value of a certain prediction curve reaches a critical preset value, performing an intervention measure to ensure the safety of the energy storage battery.

Optionally, when the longitudinal value of a certain prediction curve reaches a critical preset value, performing intervention measures to ensure the safety of the energy storage battery, including:

When the longitudinal value of a certain prediction curve reaches a critical preset value, a command is sent to the EMS management system to stop charging and discharging; wherein, the prediction curve includes at least one of the following: a rate prediction curve, a charge and discharge time prediction curve, and a voltage prediction Curve and DOD prediction curve of depth of discharge.

Optionally, the prediction curve includes a temperature prediction curve. Correspondingly, when the longitudinal value of a certain prediction curve reaches a critical preset value, performing intervention measures to ensure the safety of the energy storage battery, including:

When the longitudinal value of a certain temperature prediction curve reaches the critical temperature preset value, and the magnification rate remains unchanged and the charging and discharging time is longer than the first preset time, a command is sent to the temperature control system for cooling.

Optionally, before the basic parameters and control instructions of the energy storage battery, it also includes:

Obtain the upper and lower limit voltage, upper and lower current limit, upper and lower limit DOD, and upper and lower limit battery temperature of the energy storage battery under each state of charge SOC, health degree SOH, and temperature conditions, as the basis of the energy storage battery parameter.

Optionally, the method further includes: updating the state of charge SOC, the health degree SOH and the temperature of the energy storage battery in real time according to a second preset time interval, and updating the basic parameters of the energy storage battery.

In a second aspect, an embodiment of the present invention provides an energy storage battery safety management device, the device comprising:

The prediction curve determination module is used to determine various prediction curves when executing the instructions according to the basic parameters and control instructions of the energy storage battery;

A real-time curve generation module, configured to call the current basic parameters of the energy storage battery in real time to generate various real-time curves, wherein the predicted curve is set to be output t seconds ahead of the real-time curve;

The alarm module is used for alarming when the coincidence degree of a real-time curve and its corresponding predicted curve is lower than a preset threshold.

Optionally, also include:

The safety intervention module is used for executing intervention measures to ensure the safety of the energy storage battery when the longitudinal value of a certain prediction curve reaches a critical preset value.

An optional, security intervention module, also used to:

When the longitudinal value of a certain prediction curve reaches a critical preset value, a command is sent to the EMS management system to stop charging and discharging; wherein, the prediction curve includes at least one of the following: a rate prediction curve, a charge and discharge time prediction curve, and a voltage prediction Curve and DOD prediction curve of depth of discharge.

Optionally, the prediction curve includes a temperature prediction curve. Correspondingly, the safety intervention module is also used for: when the longitudinal value of a certain temperature prediction curve reaches the critical temperature preset value, and the magnification rate is unchanged and the charging and discharging time is greater than the first At the preset time, a command is sent to the temperature control system for cooling.

Optionally, it also includes: a parameter acquisition module, used to acquire the allowable charge and discharge of the energy storage battery under various state of charge SOC, health degree SOH and temperature conditions before according to the basic parameters and control instructions of the energy storage battery The upper and lower limit voltage, the upper and lower limit current, the upper and lower limit DOD, and the upper and lower limit battery temperature are taken as the basic parameters of the energy storage battery.

Optionally, it further includes: an update module configured to update the state of charge SOC, the health degree SOH and the temperature of the energy storage battery in real time according to a second preset time interval, and update basic parameters of the energy storage battery.

In a third aspect, an embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the above-mentioned energy storage battery safety management method.

In a fourth aspect, an embodiment of the present invention provides a device, including a memory, a processor, and a computer program stored on the memory and executed by the processor, where the processor implements the above-mentioned energy storage when executing the computer program Battery safety management methods.

In the embodiment of the present invention, according to the basic parameters and control instructions of the energy storage battery, various prediction curves when executing the instructions are determined; and the current basic parameters of the energy storage battery are called in real time to generate various real-time curves. The prediction curve is set to lead the output of the real-time curve by t seconds; when the coincidence degree of a real-time curve and its corresponding prediction curve is lower than the preset threshold, an alarm will be issued, which can be prepared in advance or enter the risk prevention state, and the energy storage can be detected in time. The risk of battery abuse can effectively avoid the occurrence of safety problems.

Description of drawings

1 is a flowchart of a method for safety management of an energy storage battery according to Embodiment 1 of the present invention;

2A is a flowchart of a method for safety management of an energy storage battery according to Embodiment 2 of the present invention;

2B is a schematic diagram of a charging voltage prediction curve of an energy storage battery safety management method according to Embodiment 2 of the present invention;

2C is a schematic diagram of a temperature prediction curve of an energy storage battery safety management method provided in Embodiment 2 of the present invention;

3 is a schematic structural diagram of an energy storage battery safety management device provided in Embodiment 3 of the present invention;

FIG. 4 is a schematic structural diagram of a device according to Embodiment 5 of the present invention.

Detailed ways

The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, the drawings only show some but not all structures related to the present invention.

Before discussing the exemplary embodiments in greater detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowchart depicts the steps as a sequential process, many of the steps may be performed in parallel, concurrently, or concurrently. Furthermore, the order of the steps can be rearranged. The process may be terminated when its operation is complete, but may also have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, subroutines, and the like.

First, the realization of this scheme can be based on the following premise:

The network module distinguishes between the server and the client.

The application is divided into the server and the client, but unlike most applications that need to distinguish between the server and the client, this product does not want to set up a separate application program for reasons such as cost control, program startup freedom, and convenience. computer as a server.

Therefore, after the program starts, the network module first parses the information recorded in the configuration file to determine whether it is a server. If it is a server, it is both a server and a client. Other computers are client.

Determines the network transport protocol.

According to the network environment in which the program is located, UDP is determined as the underlying network transmission communication protocol. However, considering that the UDP protocol is an unreliable protocol, there will be problems such as network data packet loss and no guarantee of the sequence before and after. Therefore, we choose to use UDP+KCP. The scheme realizes reliable UDP transmission. In addition, in the user login preparation stage, TCP is used as the network transmission communication protocol to ensure the reliability of user login.

Specifies the parameter settings in the synchronization logic.

Specify the parameters that need to be used in the synchronization logic, so that the parameters set in advance can be conveniently used in the process of realizing the synchronization algorithm, including: server IP address, server network port, local client IP address, server Frame interval, heartbeat packet frame interval, the time for the server to determine the client's timeout and disconnection, the time for the client to determine the server's timeout and disconnection, and the client's frame rate multiple.

Specifies the synchronization message data protocol.

First, the message type needs to be specified, specifically: synchronization preparation, synchronization start, tracking data, synchronization exit, heartbeat packet, and custom message. Then, the message data needs to be specified, specifically: the message type, the player ID of the message source, the player ID of the message target, the tracking data, the ping value timestamp, and the custom message. Finally, it is necessary to specify the uplink protocol of the data sent by the client to the server and the downlink protocol of the data sent by the server to the client. The uplink protocol includes: session ID and message list, and the downlink protocol includes frame ID and message list.

Example 1

FIG. 1 is a flowchart of an energy storage battery safety management method provided in Embodiment 1 of the present invention. The method may be executed by an energy storage battery safety management device provided in an embodiment of the present invention, and the device may use software and/or hardware. way to achieve. Specifically, the method includes:

S110. According to the basic parameters and control instructions of the energy storage battery, determine various prediction curves of the energy storage battery when the instructions are executed.

The energy storage battery refers to a battery that stores electricity, including but not limited to lithium batteries. In this embodiment, the energy storage battery is described by taking a lithium battery as an example.

In this embodiment, before the basic parameters and control instructions of the energy storage battery, the method further includes: acquiring the upper and lower limit voltages of the energy storage battery that are allowed to charge and discharge under each state of charge SOC, health degree SOH and temperature conditions , upper and lower limit current, upper and lower limit DOD, upper and lower limit battery temperature, as the basic parameters of the energy storage battery.

Among them, the basic parameters of the energy storage battery refer to the upper and lower voltage limits, upper and lower limits that allow charging and discharging of the lithium battery under various state of charge (State of charge, SOC), state of health (SOH), temperature and other conditions Current, upper and lower limits of depth of discharge (Deep of discharge, DOD), battery temperature upper and lower limits, etc.

The control command refers to a command from a specific mode of a power grid or an energy management system (Energy Management System, EMS), such as a specific charge and discharge command, or a mode command such as peak regulation, standby, and standby.

Specifically, in this embodiment, before executing the command, the battery operation management device of the EMS calls the basic information of the controlled energy storage battery to calculate in advance the rate, charge and discharge time, battery temperature, DOD, etc. of the energy storage battery when executing the command. The upper and lower limits of the voltage, etc., and then various prediction curves are generated according to the upper and lower limits of the predicted rate, charge and discharge time, battery temperature, DOD, voltage, etc. in advance.

S120. Invoke the current basic parameters of the energy storage battery in real time to generate various real-time curves, wherein the predicted curve is set to be output t seconds ahead of the real-time curve.

Because the basic parameters of the energy storage battery may change due to use or abnormality, etc., the basic parameters of the energy storage battery may change when executing the command, which will lead to potential safety hazards. Therefore, in this embodiment, the energy storage battery executes the command. During the process, it is necessary to obtain the current basic parameters of the energy storage battery in real time. Among them, the current basic parameters are the actual parameters of the energy storage battery in the process of executing the command, not the theoretical parameters obtained in advance.

Specifically, the EMS sends a command to the energy storage converter (Power Conversion System, PCS) and the battery management system (Battery Management System, BMS) to start executing the command, and the battery operation management device continuously calls the current basic parameters of the battery during operation, A variety of real-time curves are generated, and the real-time running curve follows the previously generated predicted curve, both of which are continuously updated over time, and the predicted curve always leads the actual running curve for a period of time, t seconds.

Among them, the EMS monitors all the equipment of the energy storage power station and issues commands according to the needs of the power grid. The PCS charges and discharges the batteries connected to it according to the EMS energy management instructions. BMS is a battery management system, which is used to manage and control batteries, give early warning in time, and transmit signals with EMS and PCS.

S130. When the coincidence degree of a real-time curve and its corresponding predicted curve is lower than a preset threshold, an alarm is issued.

Specifically, when the energy storage battery executes the command, since the predicted curve appears in the real-time curve ahead of t seconds, when the real-time curve of the energy storage battery deviates too much from the predicted curve, it means that the battery is an abnormal cell. Among them, the coincidence degree and the preset threshold are both set to judge whether the real-time curve deviates from the predicted curve, and the corresponding value can be set according to the actual situation of the energy storage battery.

Since this embodiment monitors multiple indicators of the energy storage battery at the same time, there are prediction curves and corresponding real-time curves for the upper and lower limits of the multiplier, charge and discharge time, battery temperature, DOD, and voltage when executing the command. Therefore, as long as there is a certain curve in the real-time curve and the deviation of the data coincidence degree of the predicted curve reaches a preset threshold value, an alarm processing is performed. The alarm processing method in this embodiment may be various methods such as prompt tone, voice, text, and alarm command, or directly perform risk reduction processing through a set program.

In the embodiment of the present invention, according to the basic parameters and control instructions of the energy storage battery, various prediction curves when executing the instructions are determined; and the current basic parameters of the energy storage battery are called in real time to generate various real-time curves. The prediction curve is set to lead the output of the real-time curve by t seconds; when the coincidence degree of a real-time curve and its corresponding prediction curve is lower than the preset threshold, an alarm will be issued, which can be prepared in advance or enter the risk prevention state, and the energy storage can be detected in time. The risk of battery abuse can effectively avoid the occurrence of safety problems.

Embodiment 2

2A is a flowchart of an energy storage battery safety management method according to Embodiment 2 of the present invention. On the basis of the foregoing embodiment, the embodiment of the present invention further includes: when a longitudinal value of a prediction curve reaches a critical preset value , implement intervention measures to ensure the safety of the energy storage battery. Specifically, the method includes:

S210 , according to the basic parameters and control commands of the energy storage battery, determine various prediction curves when the energy storage battery executes the commands.

S220. Invoke the current basic parameters of the energy storage battery in real time to generate various real-time curves, wherein the predicted curve is set to be output t seconds ahead of the real-time curve.

S230, when the coincidence degree of a real-time curve and its corresponding predicted curve is lower than a preset threshold, an alarm is issued.

S240. When the longitudinal value of a certain prediction curve reaches a critical preset value, perform an intervention measure to ensure the safety of the energy storage battery.

The critical preset value refers to a set value that is about to reach the upper and lower limits of the prediction curve. Specifically, since each prediction curve has its upper and lower limits, when the trend of the prediction curve of a certain battery is close to the upper and lower limits of one of the rate, charge and discharge time, battery temperature, DOD, voltage, etc., it can be uploaded. The command is sent to the EMS management system, and the EMS management sends the command to each equipment to prepare for action in advance, and it starts to execute when the predicted curve arrives.

Optionally, when the longitudinal value of a certain prediction curve reaches a critical preset value, performing intervention measures to ensure the safety of the energy storage battery, including:

When the longitudinal value of a certain prediction curve reaches a critical preset value, a command is sent to the EMS management system to stop charging and discharging; wherein, the prediction curve includes at least one of the following: a rate prediction curve, a charge and discharge time prediction curve, and a voltage prediction Curve and DOD prediction curve of depth of discharge.

Optionally, the prediction curve includes a temperature prediction curve. Correspondingly, when the longitudinal value of a certain prediction curve reaches a critical preset value, performing intervention measures to ensure the safety of the energy storage battery, including:

When the longitudinal value of a certain temperature prediction curve reaches the critical temperature preset value, and the magnification rate remains unchanged and the charging and discharging time is longer than the first preset time, a command is sent to the temperature control system for cooling.

The critical temperature preset value and the first preset time value may be fixed values set by the staff according to the actual situation of the energy storage battery, so as to better regulate the energy storage battery.

Specifically, in actual operation, when the temperature prediction curve of a certain energy storage battery is about to reach the upper and lower limit temperature values of the control temperature, but the magnification rate still does not decrease or the charging and discharging time is still very long, this embodiment sends an instruction to The temperature control system of the energy storage system turns on heat dissipation and cooling in advance.

It should be noted that because the magnification and the charging and discharging time directly affect the temperature rise, the magnification is judged according to the command. If the power requirement of the command does not change, the magnification will not change. If the SOC of the battery shows that it can still operate for a long time under this condition, the charging and discharging time will also be longer. Therefore, since the charging and discharging time and rate have inertia, which will have an impact on the battery, this embodiment changes the traditional passive management into active management, and intervenes in advance to avoid potential safety hazards.

Optionally, the method further includes: updating the state of charge SOC, the health degree SOH and the temperature of the energy storage battery in real time according to a second preset time interval, and updating the basic parameters of the energy storage battery.

The second preset time value may also be a fixed value set by the staff according to the actual situation of the energy storage battery.

Specifically, after the energy storage system has been running for a period of time, according to the current state of the energy storage battery, the upper and lower limits of the voltage and the upper and lower limits of the current that are allowed to charge and discharge under various SOC, SOH, temperature and other conditions are recalculated after calculation. , upper and lower limit DOD, battery temperature upper and lower limits, etc., to update the basic parameters of the energy storage battery.

In this embodiment, through the operation management device, the intervention control can be started in advance according to the state of the energy storage battery, abnormal cells can be detected in time, and the shutdown command can be executed in advance and in time, the operation of each device can be shut down in sequence, or the PCS can be controlled to reduce power, etc. order to avoid shock or abuse of the battery.

Exemplarily, in this embodiment, the battery module is composed of 16 cells, 13 battery modules form a cluster, and the energy storage system has a total of 10 clusters connected to PCS and EMS to form an energy storage system as an example for description. 2B is a schematic diagram of a charging voltage prediction curve of an energy storage battery safety management method provided in Embodiment 2 of the present invention; because an energy storage system includes several batteries, generally only a few abnormal batteries are abnormal, and the prediction curve is based on a large number of batteries. The prediction of some normal batteries, so when most of them meet the prediction, but some do not, it is abnormal, as shown in Figure 2B, including the charging voltage prediction curves of cell-pre, cell-9 and cell-13, because the cell -13 The terminal voltage of the battery is obviously high, so it is an abnormal battery and an alarm is issued.

2C is a schematic diagram of a temperature prediction curve of an energy storage battery safety management method according to Embodiment 2 of the present invention, including temperature prediction curves of cell-1, cell-4 and cell-6. Among them, the upper limit control temperature of the energy storage battery is 35°C. When the temperature is close, the temperature control system is turned on; the lower limit control temperature is 27°C. When the temperature is close and there is no continuous operation command, the temperature control system is turned off.

In the field of large-scale lithium battery energy storage, due to the large number of batteries in the system and high storage energy, the safety management of energy storage batteries is becoming more and more important. The current method adopts the method of collection, monitoring, statistical analysis, positioning and control, which belongs to the management after the fact, and relies heavily on the accuracy of the monitoring of key battery information, the timeliness of data transmission and the accuracy of control instructions, which are often missed. The best time to take measures, resulting in the risk of abuse of energy storage batteries.

An energy storage battery safety management and operation method involved in the embodiment of the present invention can well solve the above problems. The embodiment of the present invention is different from the traditional instruction execution process. In the embodiment of the present invention, by first decomposing the instruction and then distributing it to the pre-operation management device of the energy storage battery, the multiplication rate, time, temperature, SOC, voltage, etc. of the execution instruction of the energy storage battery are calculated in advance. The upper and lower limits, and then generate the prediction curve, and then allow the energy storage battery to execute the operation command, and follow the prediction curve verification according to the feedback information of real-time operation. PCS, etc. are prepared to change the instruction or enter the risk prevention state, which can timely detect the risk of misuse of energy storage batteries and avoid the occurrence of safety problems.

Embodiment 3

3 is a schematic structural diagram of an energy storage battery safety management device provided by an embodiment of the present invention, and the device specifically includes:

The prediction curve determination module 310 is used for determining various prediction curves of the energy storage battery when the instruction is executed according to the basic parameters and control instructions of the energy storage battery;

A real-time curve generation module 320, configured to call the current basic parameters of the energy storage battery in real time to generate various real-time curves, wherein the predicted curve is set to be output t seconds ahead of the real-time curve;

The alarm module 330 is configured to issue an alarm when the coincidence degree of a real-time curve and its corresponding predicted curve is lower than a preset threshold.

Optionally, also include:

The safety intervention module is used for executing intervention measures to ensure the safety of the energy storage battery when the longitudinal value of a certain prediction curve reaches a critical preset value.

An optional, security intervention module, also used to:

When the longitudinal value of a certain prediction curve reaches a critical preset value, a command is sent to the EMS management system to stop charging and discharging; wherein, the prediction curve includes at least one of the following: a rate prediction curve, a charge and discharge time prediction curve, and a voltage prediction Curve and DOD prediction curve of depth of discharge.

Optionally, the prediction curve includes a temperature prediction curve. Correspondingly, the safety intervention module is also used for: when the longitudinal value of a certain temperature prediction curve reaches the critical temperature preset value, and the magnification rate is unchanged and the charging and discharging time is greater than the first At the preset time, a command is sent to the temperature control system for cooling.

Optionally, it also includes: a parameter acquisition module, used to acquire the allowable charge and discharge of the energy storage battery under various state of charge SOC, health degree SOH and temperature conditions before according to the basic parameters and control instructions of the energy storage battery The upper and lower limit voltage, the upper and lower limit current, the upper and lower limit DOD, and the upper and lower limit battery temperature are taken as the basic parameters of the energy storage battery.

Optionally, it further includes: an update module configured to update the state of charge SOC, the health degree SOH and the temperature of the energy storage battery in real time according to a second preset time interval, and update basic parameters of the energy storage battery.

Embodiment 4

Embodiments of the present application further provide a storage medium containing computer-executable instructions, where the computer-executable instructions, when executed by a computer processor, are used to execute:

According to the basic parameters and control instructions of the energy storage battery, determine various prediction curves when it executes the instructions;

Calling the current basic parameters of the energy storage battery in real time to generate a variety of real-time curves, wherein the predicted curve is set to be output t seconds ahead of the real-time curve;

When the coincidence degree of a real-time curve and its corresponding predicted curve is lower than the preset threshold, an alarm will be issued.

storage medium - any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media, such as CD-ROMs, floppy disks, or tape devices; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc. ; non-volatile memory, such as flash memory, magnetic media (eg hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the computer system in which the program is executed, or may be located in a different second computer system connected to the computer system through a network such as the Internet. The second computer system may provide program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations (eg, in different computer systems connected by a network). The storage medium may store program instructions (eg, embodied as a computer program) executable by one or more processors.

Of course, a storage medium containing computer-executable instructions provided by the embodiments of the present application, the computer-executable instructions of which are not limited to the above-mentioned energy storage battery safety management operations, and can also execute the storage medium provided by any embodiment of the present application. Related operations in the battery safety management method.

Embodiment 5

The embodiments of the present application provide an electronic device, in which the multi-channel data synchronization apparatus provided by the embodiments of the present application can be integrated. FIG. 4 is a schematic structural diagram of an electronic device provided in Embodiment 5 of the present application. As shown in FIG. 4 , this embodiment provides an electronic device 400, which includes: one or more processors 420; and a storage device 410 for storing one or more programs, when the one or more programs are The one or more processors 420 operate such that the one or more processors 420 implement:

According to the basic parameters and control instructions of the energy storage battery, determine various prediction curves when it executes the instructions;

Calling the current basic parameters of the energy storage battery in real time to generate a variety of real-time curves, wherein the predicted curve is set to be output t seconds ahead of the real-time curve;

When the coincidence degree of a real-time curve and its corresponding predicted curve is lower than the preset threshold, an alarm will be issued.

As shown in FIG. 4 , the electronic device 400 includes a processor 420 , a storage device 410 , an input device 430 and an output device 440 ; the number of processors 420 in the electronic device may be one or more, and one processor 420 is used in FIG. 4 . For example, the processor 420 , the storage device 410 , the input device 430 and the output device 440 in the electronic device may be connected by a bus or in other ways, and the connection by the bus 450 is taken as an example in FIG. 4 .

As a computer-readable storage medium, the storage device 410 can be used to store software programs, computer-executable programs, and module units, such as program instructions corresponding to the energy storage battery safety management method in the embodiments of the present application.

The storage device 410 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Additionally, storage device 410 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, storage device 410 may further include memory located remotely from processor 420, the remote memory may be connected through a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

The input device 430 may be used to receive input numbers, character information or voice information, and generate key signal input related to user settings and function control of the electronic device. The output device 440 may include a display screen, a speaker, and the like.

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention. The scope is determined by the scope of the appended claims.

Claims (10)

1. a method for energy storage battery safety management, characterized in that, comprising: According to the basic parameters and control instructions of the energy storage battery, determine various prediction curves when it executes the instructions; Calling the current basic parameters of the energy storage battery in real time to generate a variety of real-time curves, wherein the predicted curve is set to be output t seconds ahead of the real-time curve; When the coincidence degree of a real-time curve and its corresponding predicted curve is lower than the preset threshold, an alarm will be issued. 2. The method of claim 1, further comprising: When the longitudinal value of a certain prediction curve reaches a critical preset value, an intervention measure is performed to ensure the safety of the energy storage battery. 3 . The method according to claim 2 , wherein when the longitudinal value of a certain prediction curve reaches a critical preset value, performing intervention measures to ensure the safety of the energy storage battery, comprising: 3 . When the longitudinal value of a certain prediction curve reaches a critical preset value, a command is sent to the EMS management system to stop charging and discharging; wherein, the prediction curve includes at least one of the following: a rate prediction curve, a charge and discharge time prediction curve, and a voltage prediction Curve and DOD prediction curve of depth of discharge. 4. The method according to claim 2, wherein the prediction curve comprises a temperature prediction curve, and accordingly, when the longitudinal value of a certain prediction curve reaches a critical preset value, an intervention measure is performed to ensure the energy storage Battery safety, including: When the longitudinal value of a certain temperature prediction curve reaches the critical temperature preset value, and the magnification rate remains unchanged and the charging and discharging time is longer than the first preset time, a command is sent to the temperature control system for cooling. 5. The method according to claim 3 or 4, characterized in that, before the basic parameters and control instructions of the energy storage battery, further comprising: Under the conditions of each state of charge SOC, health degree SOH and temperature, the upper and lower limit voltage, upper and lower limit current, upper and lower limit DOD, and upper and lower limit battery temperature of the energy storage battery for charging and discharging are obtained as the basic parameters of the energy storage battery . 6. The method of claim 5, further comprising: According to the second preset time interval, the state of charge SOC, the health degree SOH and the temperature of the energy storage battery are updated in real time, and the basic parameters of the energy storage battery are updated. 7. An energy storage battery safety management device, characterized in that, comprising: The prediction curve determination module is used to determine various prediction curves when executing the instructions according to the basic parameters and control instructions of the energy storage battery; A real-time curve generation module, configured to call the current basic parameters of the energy storage battery in real time to generate various real-time curves, wherein the predicted curve is set to be output t seconds ahead of the real-time curve; The alarm module is used for alarming when the coincidence degree of a real-time curve and its corresponding predicted curve is lower than a preset threshold. 8. The apparatus of claim 7, further comprising: The safety intervention module is used for executing intervention measures to ensure the safety of the energy storage battery when the longitudinal value of a certain prediction curve reaches a critical preset value. 9. A computer-readable storage medium on which a computer program is stored, characterized in that, when the program is executed by a processor, the method according to any one of claims 1-6 is implemented. 10. An electronic device comprising a memory, a processor and a computer program that is stored on the memory and can run on the processor, wherein the processor implements any one of claims 1-6 when the processor executes the computer program. one of the methods described.

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