CN114693121A - Energy storage battery safety management method, device, medium and equipment - Google Patents
Energy storage battery safety management method, device, medium and equipment Download PDFInfo
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Abstract
The embodiment of the invention discloses a safety management method for an energy storage battery. Determining various prediction curves of the energy storage battery when the energy storage battery executes the command according to the basic parameters and the control command of the energy storage battery; calling the current basic parameters of the energy storage battery in real time to generate various real-time curves; when the contact ratio of a certain real-time curve and the corresponding predicted curve is lower than a preset threshold value, an alarm is given, a risk prevention state can be prepared in advance or entered, the risk that the energy storage battery is abused is found in time, and the safety problem is effectively avoided.
Description
Technical Field
The embodiment of the invention relates to the field of large-scale chemical energy storage, in particular to a method, a device, a medium and equipment for managing the safety of an energy storage battery.
Background
At present, in the field of large-scale chemical energy storage, because a lithium ion battery has the advantages of high energy density, environmental protection, long service life and the like, the lithium ion battery is widely applied to various energy storage scenes, particularly large-scale energy storage scenes.
The large-scale energy storage system consists of an energy storage battery, a battery pack, a battery cluster, a battery management system, an energy storage converter, a boosting system, an energy management system and other auxiliary systems for temperature control, fire control and the like, and is communicated and controlled with one another. The large-scale energy storage system has a large number of energy storage batteries and a large data volume, so that the difficulty of safety management is increasing.
The prior art belongs to post management, depends on the accuracy of monitoring key information of a battery and the timeliness of data transmission, has high requirements on all aspects, limits the number of the battery management and control system, often cannot find the risk of abusing the battery in time, can feed back the abused risk to an energy management system when the abused risk occurs or is about to occur, and then sends a corresponding control instruction, often misses the optimal time and causes unnecessary loss.
Disclosure of Invention
The embodiment of the invention provides a method, a device, a medium and equipment for managing the safety of an energy storage battery, which can enter a risk prevention state in advance, find the risk of abusing the energy storage battery in time and avoid potential safety hazards.
In a first aspect, an embodiment of the present invention provides a method for managing safety of an energy storage battery, where the method includes:
determining various prediction curves of the energy storage battery when the control command is executed according to the basic parameters and the control command of the energy storage battery;
calling current basic parameters of the energy storage battery in real time to generate a plurality of real-time curves, wherein the prediction curve is set to be ahead of the real-time curves and output for t seconds;
and when the contact ratio of a certain real-time curve and the corresponding predicted curve is lower than a preset threshold value, alarming.
Optionally, the method further includes: and 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 a longitudinal value of a certain prediction curve reaches a critical preset value, performing an intervention measure to ensure safety of the energy storage battery includes:
when the longitudinal value of a certain prediction curve reaches a critical preset value, a command is sent to an EMS management system to stop charging and discharging; wherein the prediction curve comprises at least one of: a multiplying power prediction curve, a charge-discharge time prediction curve, a voltage prediction curve and a DOD (depth of discharge) prediction curve.
Optionally, the prediction curve includes a temperature prediction curve, and accordingly, when a 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, including:
when the longitudinal value of a certain temperature prediction curve reaches a critical temperature preset value, the multiplying power is unchanged, and the charging and discharging time is longer than a first preset time, a command is sent to the temperature control system to carry out cooling treatment.
Optionally, before the basic parameters and the control command according to the energy storage battery, the method further includes:
and acquiring upper and lower limit voltage, upper and lower limit current, upper and lower limit DOD and upper and lower limit battery temperature which are allowed to be charged and discharged under the conditions of the SOC, the SOH and the temperature of the energy storage battery as basic parameters of the energy storage battery.
Optionally, the method further includes: and 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 apparatus, where the apparatus includes:
the prediction curve determining module is used for determining various prediction curves of the energy storage battery when the energy storage battery executes the command according to the basic parameters and the control command of the energy storage battery;
the real-time curve generation module is used for calling the current basic parameters of the energy storage battery in real time to generate various real-time curves, wherein the prediction curve is set to be ahead of the real-time curve and is output for t seconds;
and the alarm module is used for giving an alarm when the contact ratio of a certain real-time curve and the corresponding prediction curve is lower than a preset threshold value.
Optionally, the method further includes:
and the safety intervention module is used for executing intervention measures to ensure the safety of the energy storage battery when a longitudinal value of a certain prediction curve reaches a critical preset value.
Optionally, the safety intervention module is further configured to:
when the longitudinal value of a certain prediction curve reaches a critical preset value, a command is sent to an EMS management system to stop charging and discharging; wherein the prediction curve comprises at least one of: a multiplying power prediction curve, a charge-discharge time prediction curve, a voltage prediction curve and a DOD (depth of discharge) prediction curve.
Optionally, the prediction curve includes a temperature prediction curve, and the safety intervention module is further configured to: when the longitudinal value of a certain temperature prediction curve reaches a critical temperature preset value, the multiplying power is unchanged, and the charging and discharging time is longer than a first preset time, a command is sent to the temperature control system to carry out cooling treatment.
Optionally, the method further includes: the parameter acquisition module is used for acquiring upper and lower limit voltage, upper and lower limit current, upper and lower limit DOD and upper and lower limit battery temperature which are allowed to be charged and discharged under the conditions of each state of charge (SOC), health degree (SOH) and temperature of the energy storage battery before the basic parameters and the control instruction of the energy storage battery are taken as the basic parameters of the energy storage battery.
Optionally, the method further includes: and the updating module is used for updating the SOC, the 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 third aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the energy storage battery safety management method as described above.
In a fourth aspect, an embodiment of the present invention provides an apparatus, which includes a memory, a processor, and a computer program stored in the memory and executable by the processor, and when the processor executes the computer program, the method for managing safety of an energy storage battery as described above is implemented.
According to the embodiment of the invention, various prediction curves of the energy storage battery are determined when the instruction is executed according to the basic parameters and the control instruction of the energy storage battery; calling current basic parameters of the energy storage battery in real time to generate a plurality of real-time curves, wherein the prediction curve is set to be ahead of the real-time curves and output for t seconds; when the contact ratio of a certain real-time curve and the corresponding predicted curve is lower than a preset threshold value, an alarm is given, a risk prevention state can be prepared in advance or entered, the risk that the energy storage battery is abused is found in time, and the safety problem is effectively avoided.
Drawings
Fig. 1 is a flowchart of a method for managing safety of an energy storage battery according to an embodiment of the present invention;
fig. 2A is a flowchart of a method for managing safety of an energy storage battery according to a second embodiment of the present invention;
fig. 2B is a schematic diagram of a charging voltage prediction curve of a method for managing the safety of an energy storage battery according to a second embodiment of the present invention;
fig. 2C is a schematic diagram of a temperature prediction curve of a method for managing the safety of an energy storage battery according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an energy storage battery safety management apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus provided in the fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Firstly, the implementation of the scheme can be based on the following premises:
the network module distinguishes a server side and a client side.
The application program is divided into the server and the client, but different from most application programs needing to be divided into the server and the client, the product does not want to set up a computer as a server separately in consideration of cost control, program starting freedom, convenience and the like.
Therefore, after the program is started, the network module firstly analyzes the information recorded in the configuration file to judge whether the program is a server or not, if the program is the server, the program is a server and a client, and other computers are clients.
And determining a network transmission communication protocol.
According to the network environment of the program, UDP is determined as an underlying network transmission communication protocol, but considering that the UDP protocol is an unreliable protocol, the problems of network data packet loss, no guarantee of the sequence and the like can occur, and therefore the scheme of UDP + KCP is selected to realize reliable UDP transmission. In addition, in the preparation stage of user login, TCP is used as a network transmission communication protocol, so that the reliability of user login is ensured.
Specifying parameter settings in the synchronization logic.
The parameters needed in the synchronization logic are specified so that the parameters set in advance can be conveniently used in the process of realizing the synchronization algorithm, and the method specifically comprises the following steps: the method comprises the steps of determining the IP address of a server, the network port of the server, the IP address of a local client, the frame interval of the server, the frame interval of heartbeat packets, the time for the server to judge the overtime drop of the client, the time for the client to judge the overtime drop of the server and the frame rate multiple of the client.
A synchronization message data protocol is specified.
Firstly, the message type needs to be specified, specifically: synchronous preparation, synchronous start, data tracking, synchronous exit, heartbeat package, and custom message. Then, message data needs to be specified, specifically: message type, player ID of message origin, player ID of message target, tracking data, Ping value timestamp, custom message. Finally, an uplink protocol of data sent by the client to the server and a downlink protocol of data sent by the server to the client need to be specified, wherein the uplink protocol specifically includes: session ID, message list, and the downlink protocol specifically includes frame ID and message list.
Example one
Fig. 1 is a flowchart of a method for managing safety of an energy storage battery according to an embodiment of the present invention, where the method may be executed by an apparatus for managing safety of an energy storage battery according to an embodiment of the present invention, and the apparatus may be implemented in a software and/or hardware manner. The method specifically comprises the following steps:
and S110, determining various prediction curves of the energy storage battery when the instruction is executed according to the basic parameters and the control instruction of the energy storage battery.
The energy storage battery refers to a battery for storing electricity, including but not limited to a lithium battery. In the present embodiment, the energy storage battery is illustrated by taking a lithium battery as an example.
In this embodiment, before the basic parameters and the control commands according to the energy storage battery, the method further includes: and acquiring upper and lower limit voltage, upper and lower limit current, upper and lower limit DOD and upper and lower limit battery temperature which are allowed to be charged and discharged under the conditions of the SOC, the SOH and the temperature of the energy storage battery as basic parameters of the energy storage battery.
The basic parameters of the energy storage battery refer to upper and lower limit voltages, upper and lower limit currents, upper and lower limit discharge depths (DOD) and upper and lower limit battery temperature, which are set for allowing charging and discharging of the lithium battery under various conditions of State of charge (SOC), State of health (SOH), temperature and the like.
The control command refers to a command from a specific mode of a power grid or Energy Management System (EMS), and may be, for example, a specific charge/discharge command, or a mode command such as peak shaving, standby, or standby.
Specifically, in this embodiment, before executing the instruction, the battery operation management device of the EMS calls basic information of the managed and controlled energy storage battery to calculate upper and lower limits of the magnification, the charge and discharge time, the battery temperature, the DOD, the voltage, and the like of the energy storage battery in advance when executing the instruction, and then generates corresponding various prediction curves according to the upper and lower limits of the magnification, the charge and discharge time, the battery temperature, the DOD, the voltage, and the like predicted in advance.
And S120, calling 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 be changed due to use or abnormality, and the like, when the energy storage battery executes the command, the potential safety hazard may occur, and therefore, in the process of executing the command by the energy storage battery, the current basic parameters of the energy storage battery need to be acquired in real time in this embodiment. The current basic parameters are actual parameters of the energy storage battery in the command executing process, and are not theoretical parameters acquired in advance.
Specifically, the EMS issues an instruction to the Power Conversion System (PCS) and the Battery Management System (BMS) to start executing the command, the Battery operation Management device continuously calls the current basic parameters of the Battery during the operation to generate various real-time curves, the real-time operation curves follow the previously generated prediction curves, the real-time operation curves and the prediction curves are continuously updated along with time, and the prediction curves always lead the actual operation curves for a period of time, t seconds.
The EMS monitors all devices of the energy storage power station and sends out instructions according to the requirements of the power grid and the like. The PCS charges and discharges a battery connected with the PCS according to the EMS energy management instruction. The BMS is a battery management system and is used for managing and controlling batteries, giving early warning in time and carrying out signal transmission with the EMS and the PCS.
And S130, when the contact ratio of a certain real-time curve and the corresponding predicted curve is lower than a preset threshold value, alarming.
Specifically, when the energy storage battery executes the command, the prediction curve is advanced by t seconds and appears in the real-time curve, so that when the real-time curve of the energy storage battery deviates from the prediction curve too much, the battery is an abnormal electric core. The contact ratio and the preset threshold are set for judging whether the real-time curve deviates from the predicted curve, and corresponding numerical values can be set according to the actual condition of the energy storage battery.
Since the present embodiment simultaneously monitors multiple indexes of the energy storage battery, there may be a prediction curve of upper and lower limits of the magnification, the charge and discharge time, the battery temperature, the DOD, the voltage, and the like, and a corresponding real-time curve when executing the instruction. Therefore, the alarm processing is carried out as long as the deviation of the coincidence degree of a certain curve existing in the real-time curve and the predicted curve data reaches a preset threshold value. The alarm processing mode in this embodiment may be various modes such as a warning sound, a voice, a character, an alarm command, and the like, or may be a mode in which the risk reduction processing is directly performed by a set program.
According to the embodiment of the invention, various prediction curves of the energy storage battery are determined when the energy storage battery executes the command according to the basic parameters and the control command of the energy storage battery; calling current basic parameters of the energy storage battery in real time to generate a plurality of real-time curves, wherein the prediction curve is set to be ahead of the real-time curves and output for t seconds; when the contact ratio of a certain real-time curve and the corresponding predicted curve is lower than a preset threshold value, an alarm is given, a risk prevention state can be prepared in advance or entered, the risk that the energy storage battery is abused is found in time, and the safety problem is effectively avoided.
Example two
Fig. 2A is a flowchart of a method for managing safety of an energy storage battery according to a second embodiment of the present invention, where the embodiment of the present invention further includes: and 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. The method specifically comprises the following steps:
s210, determining various prediction curves of the energy storage battery when the instruction is executed according to the basic parameters and the control instruction of the energy storage battery.
And S220, calling 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.
And S230, when the contact ratio of a certain real-time curve and the corresponding prediction curve is lower than a preset threshold value, alarming.
And S240, 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.
The critical preset value refers to a set value at which the upper and lower limits of the prediction curve are about to be reached. Specifically, each prediction curve has upper and lower limit values, so when the trend of the prediction curve of a certain battery approaches to the upper and lower limits of one of the multiplying power, the charging and discharging time, the battery temperature, the DOD, the voltage and the like, an instruction can be uploaded to an EMS management system, the EMS management issues the instruction to each device to prepare for action in advance, and the prediction curve is executed when the prediction curve arrives.
Optionally, when a longitudinal value of a certain prediction curve reaches a critical preset value, performing an intervention measure to ensure safety of the energy storage battery includes:
when the longitudinal value of a certain prediction curve reaches a critical preset value, a command is sent to an EMS management system to stop charging and discharging; wherein the prediction curve comprises at least one of: a multiplying power prediction curve, a charge-discharge time prediction curve, a voltage prediction curve and a DOD (depth of discharge) prediction curve.
Optionally, the prediction curve includes a temperature prediction curve, and accordingly, when a 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, including:
when the longitudinal value of a certain temperature prediction curve reaches a critical temperature preset value, the multiplying power is unchanged, and the charging and discharging time is longer than a first preset time, a command is sent to the temperature control system to carry out cooling treatment.
The critical temperature preset value and the first preset time value can be fixed values set by workers according to the actual condition of the energy storage battery, and are used for better regulating and controlling 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, and the multiplying power is still not reduced or the charging and discharging time is still long, the embodiment issues an instruction to the temperature control system of the energy storage system, and the heat dissipation and cooling are started in advance.
It should be noted that, because the magnitude of the multiplying power and the charging and discharging time directly affect the temperature rise, the multiplying power is determined according to the instruction, and if the power requirement of the instruction is not changed, the multiplying power is not changed. If the SOC of the battery shows that the battery can still run for a long time under the working condition, the charging and discharging time is also longer. Therefore, because the charging and discharging time, the multiplying power and the like have inertia and impact on the battery, the traditional passive management is changed into the active management to intervene in advance, and the potential safety hazard is avoided.
Optionally, the method further includes: and 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 an operator according to the actual condition of the energy storage battery.
Specifically, after the energy storage system operates for a period of time, according to the current state of the energy storage battery, the upper and lower limit voltages, the upper and lower limit currents, the upper and lower limits DOD, the upper and lower limits of the battery temperature and the like which are allowed to be charged and discharged under the conditions of various SOC, SOH, temperature and the like of the energy storage battery which operates at present are calculated again so as to update the basic parameters of the energy storage battery.
In the embodiment, the operation management device can start intervention control in advance along with the state of the energy storage battery, can find abnormal electric cores in time, and can execute the turn-off instruction execution in advance, turn off the operation of each device in sequence, or control commands such as PCS power reduction and the like, so that the impact or abuse to the battery is avoided.
For example, in this embodiment, a battery module is composed of 16 battery cells, 13 battery modules are composed of a cluster, and the energy storage system includes 10 clusters of PCS and EMS for example. Fig. 2B is a schematic diagram of a charging voltage prediction curve of a method for managing the safety of an energy storage battery according to a second embodiment of the present invention; because one energy storage system contains a plurality of batteries, the abnormal batteries are only individual in general, and the prediction curve is based on the prediction of most normal batteries, so that the abnormal batteries are obtained when most of the abnormal batteries are in accordance with the prediction and the individual batteries are not in accordance with the prediction, as shown in fig. 2B, the abnormal batteries belong to the abnormal batteries because the terminal voltage of the battery of the cell-13 is obviously higher, and the abnormal batteries are alarmed.
Fig. 2C is a schematic diagram of a temperature prediction curve of the energy storage battery safety management method according to the second embodiment of the present invention, including temperature prediction curves of cell-1, cell-4, and cell-6. The upper limit control temperature of the energy storage battery is 35 ℃, and when the temperature approaches, the temperature control system is started; the lower limit control temperature is 27 ℃, and when the temperature is close and no continuous operation instruction exists, the temperature control system is closed.
In the field of large energy storage of lithium batteries, the safety management of energy storage batteries is increasingly important due to the large number of batteries and high storage energy in the system. The existing method adopts a method of collection, monitoring, statistical analysis, positioning and control, belongs to post management, extremely depends on the accuracy of monitoring critical information of the battery, the timeliness of data transmission and the accuracy of control instructions, often misses the time for best taking measures, and causes the abuse risk of the energy storage battery.
The safety management operation method of the energy storage battery can well solve the problems. The embodiment of the invention is different from the traditional instruction execution flow, the embodiment of the invention decomposes the instruction and then distributes the decomposed instruction to the energy storage battery pre-operation management device, calculates the upper and lower limits of the multiplying power, time, temperature, SOC, voltage and the like of the energy storage battery execution instruction in advance, then generates the prediction curve, then allows the energy storage battery to execute the operation instruction, verifies the prediction curve according to the feedback information of real-time operation, sends out an early warning signal when finding that the prediction curve reaches an early warning threshold value, uploads an energy management system, a PCS and the like to make a change instruction preparation or enter a risk prevention state, can find the risk of abusing the energy storage battery in time, and avoids the occurrence of safety problems.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an energy storage battery safety management device according to an embodiment of the present invention, where the device specifically includes:
the prediction curve determining module 310 is configured to determine a plurality of prediction curves of the energy storage battery when executing the instruction according to the basic parameters and the control instruction of the energy storage battery;
the real-time curve generating module 320 is configured to invoke the current basic parameters of the energy storage battery in real time to generate a plurality of real-time curves, wherein the predicted curve is set to be output ahead of the real-time curve for t seconds;
and the alarm module 330 is configured to alarm when the contact ratio of a certain real-time curve and the corresponding predicted curve is lower than a preset threshold.
Optionally, the method further includes:
and the safety intervention module is used for executing intervention measures to ensure the safety of the energy storage battery when a longitudinal value of a certain prediction curve reaches a critical preset value.
Optionally, the safety intervention module is further configured to:
when the longitudinal value of a certain prediction curve reaches a critical preset value, a command is sent to an EMS management system to stop charging and discharging; wherein the prediction curve comprises at least one of: a multiplying power prediction curve, a charge-discharge time prediction curve, a voltage prediction curve and a DOD (depth of discharge) prediction curve.
Optionally, the prediction curve includes a temperature prediction curve, and the safety intervention module is further configured to: when the longitudinal value of a certain temperature prediction curve reaches a critical temperature preset value, the multiplying power is unchanged, and the charging and discharging time is longer than a first preset time, a command is sent to the temperature control system to carry out cooling treatment.
Optionally, the method further includes: the parameter acquisition module is used for acquiring upper and lower limit voltage, upper and lower limit current, upper and lower limit DOD and upper and lower limit battery temperature which are allowed to be charged and discharged under the conditions of each state of charge (SOC), health degree (SOH) and temperature of the energy storage battery before the basic parameters and the control instruction of the energy storage battery are taken as the basic parameters of the energy storage battery.
Optionally, the method further includes: and the updating module is used for updating the SOC, the 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.
Example four
Embodiments of the present application also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform:
determining various prediction curves of the energy storage battery when the control command is executed according to the basic parameters and the control command of the energy storage battery;
calling current basic parameters of the energy storage battery in real time to generate a plurality of real-time curves, wherein the prediction curve is set to be ahead of the real-time curves and output for t seconds;
and when the contact ratio of a certain real-time curve and the corresponding predicted curve is lower than a preset threshold value, alarming.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., 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 the program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application includes computer-executable instructions, where the computer-executable instructions are not limited to the above-mentioned safety management operation of the energy storage battery, and may also perform related operations in the safety management method of the energy storage battery provided in any embodiment of the present application.
EXAMPLE five
The embodiment of the application provides electronic equipment, and the electronic equipment can be integrated with a multi-channel data synchronization device provided by the embodiment of the application. Fig. 4 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present application. As shown in fig. 4, the present embodiment provides an electronic device 400, which includes: one or more processors 420; storage 410 to store one or more programs that, when executed by the one or more processors 420, cause the one or more processors 420 to implement:
determining various prediction curves of the energy storage battery when the control command is executed according to the basic parameters and the control command of the energy storage battery;
calling current basic parameters of the energy storage battery in real time to generate a plurality of real-time curves, wherein the prediction curve is set to be ahead of the real-time curves and output for t seconds;
and when the contact ratio of a certain real-time curve and the corresponding predicted curve is lower than a preset threshold value, alarming.
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 the processors 420 in the electronic device may be one or more, and one processor 420 is taken as an example in fig. 4; the processor 420, the storage device 410, the input device 430, and the output device 440 in the electronic apparatus may be connected by a bus or other means, and are exemplified by a bus 450 in fig. 4.
The storage device 410 is a computer-readable storage medium, and can be used to store a software program, a computer executable program, and a module unit, such as a program instruction corresponding to the energy storage battery safety management method in the embodiment 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. Further, the storage 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 410 may further include memory located remotely from processor 420, which may be connected via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 430 may be used to receive input numbers, character information, or voice information, and to generate key signal inputs related to user settings and function control of the electronic device. The output device 440 may include a display screen, speakers, etc.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A safety management method for an energy storage battery is characterized by comprising the following steps:
determining various prediction curves of the energy storage battery when the control command is executed according to the basic parameters and the control command of the energy storage battery;
calling current basic parameters of the energy storage battery in real time to generate a plurality of real-time curves, wherein the prediction curve is set to be ahead of the real-time curves and output for t seconds;
and when the contact ratio of a certain real-time curve and the corresponding predicted curve is lower than a preset threshold value, alarming.
2. The method of claim 1, further comprising:
and when a longitudinal value of a certain prediction curve reaches a critical preset value, performing intervention measures to ensure the safety of the energy storage battery.
3. The method of claim 2, wherein the step of performing an intervention to ensure the safety of the energy storage battery when a longitudinal value of a prediction curve reaches a critical preset value comprises:
when the longitudinal value of a certain prediction curve reaches a critical preset value, a command is sent to an EMS management system to stop charging and discharging; wherein the prediction curve comprises at least one of: a multiplying power prediction curve, a charge-discharge time prediction curve, a voltage prediction curve and a DOD (depth of discharge) prediction curve.
4. The method of claim 2, wherein the prediction curve comprises a temperature prediction curve, and accordingly, when a 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 comprises:
when the longitudinal value of a certain temperature prediction curve reaches a critical temperature preset value, the multiplying power is unchanged, and the charging and discharging time is longer than a first preset time, a command is sent to the temperature control system to carry out cooling treatment.
5. The method according to claim 3 or 4, before the step of determining the basic parameters and the control commands of the energy storage battery, further comprising:
and acquiring 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 under the conditions of the SOC, the SOH and the temperature of each state of charge, as basic parameters of the energy storage battery.
6. The method of claim 5, further comprising:
and 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.
7. An energy storage battery safety management device, comprising:
the prediction curve determining module is used for determining various prediction curves of the energy storage battery when the energy storage battery executes the instruction according to the basic parameters and the control instruction of the energy storage battery;
the real-time curve generation module is used for calling the current basic parameters of the energy storage battery in real time to generate various real-time curves, wherein the prediction curve is set to be ahead of the real-time curve and is output for t seconds;
and the alarm module is used for giving an alarm when the contact ratio of a certain real-time curve and the corresponding prediction curve is lower than a preset threshold value.
8. The apparatus of claim 7, further comprising:
and the safety intervention module is used for executing intervention measures to ensure the safety of the energy storage battery when a 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 which, when being executed by a processor, carries out the method according to any one of claims 1-6.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1-6 when executing the computer program.
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| CN117239304A (en) * | 2023-11-16 | 2023-12-15 | 深圳永泰数能科技有限公司 | Liquid cooling energy storage thermal management system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117239304A (en) * | 2023-11-16 | 2023-12-15 | 深圳永泰数能科技有限公司 | Liquid cooling energy storage thermal management system and method |
| CN117239304B (en) * | 2023-11-16 | 2024-01-30 | 深圳永泰数能科技有限公司 | Liquid cooling energy storage thermal management system and method |
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