CN114400738A - Battery early warning method and system for energy storage power station - Google Patents
Battery early warning method and system for energy storage power station Download PDFInfo
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- CN114400738A CN114400738A CN202210013275.3A CN202210013275A CN114400738A CN 114400738 A CN114400738 A CN 114400738A CN 202210013275 A CN202210013275 A CN 202210013275A CN 114400738 A CN114400738 A CN 114400738A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/00032—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange
- H02J7/00036—Charger exchanging data with battery
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
- H01M10/4257—Smart batteries, e.g. electronic circuits inside the housing of the cells or batteries
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
- H01M10/482—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for several batteries or cells simultaneously or sequentially
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
- H01M10/486—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for measuring temperature
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/005—Detection of state of health [SOH]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0068—Battery or charger load switching, e.g. concurrent charging and load supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0069—Charging or discharging for charge maintenance, battery initiation or rejuvenation
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
- H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Abstract
The invention discloses a battery early warning method and a battery early warning system for an energy storage power station, wherein the method comprises the following steps: acquiring voltage and current data of a battery stack, current data of a battery pack, voltage, current and SOC data of a single battery, and establishing a power station battery early warning model; generating standard charging and discharging curves of a power station battery stack, a battery pack and a single battery; generating actual charging and discharging curves of the battery stack, the battery pack and the single battery of the power station according to the acquired voltage and current data of the battery stack, the acquired current data of the battery pack and the acquired voltage, current and SOC data of the single battery; and judging whether a non-battery factor fault exists according to the actual charging and discharging curve, and if the non-battery factor fault does not exist, judging the fault reason through the power station battery early warning model. According to the method and the system, the key data of the battery stack, the battery pack and the single battery in the energy storage battery are generated into a standard charging and discharging curve, and the health degree of the battery in different levels in the energy storage power station can be judged by establishing battery early warning models in different levels through the charging and discharging curve.
Description
Technical Field
The invention relates to the technical field of energy storage, in particular to a battery early warning method and system for an energy storage power station.
Background
At present, a fixed threshold value set on a master station BMS carries out early warning, an early warning result is reported to a platform, and the state of a battery is judged through the operation and maintenance experience of the battery, so that whether hidden danger exists or not is judged. However, the prior art has the following technical problems: 1. the early warning is carried out by uploading data locally in real time, and the internal problems of the energy storage battery cannot be truly reflected by combining the data at a certain moment. 2. The prior art method has the defects that errors can occur along with the time lapse when the capacity of the power battery is calculated, the error is larger and larger, and the battery capacity cannot be accurately reflected. 3. The method in the prior art cannot perform early warning of the energy storage battery and the running condition of the battery in the future across the time width. 4. The method cannot give maintenance guidance after battery early warning and track the running condition after battery replacement, and cannot judge the health state of the battery.
Disclosure of Invention
The invention aims to provide a battery early warning method and system for an energy storage power station.
The invention also aims to provide an energy storage power station battery early warning method and system, wherein the method and system compare the actual charging and discharging curves of the battery stack, the battery pack and the single battery with the standard curve, judge whether a fault occurs according to the comparison result, and judge the reason of the fault, so that the quick early warning and tracking of the battery fault can be realized, and the maintenance pressure of the power station battery is reduced.
The invention also aims to provide an energy storage power station battery early warning method and system, the method and system set an early warning threshold value through a relation model of the battery charging and discharging initial voltage and the SOC of a longitudinal analysis meter, recalibrate when the battery charging and discharging initial voltage and the SOC reach the early warning threshold value, perform capacity early warning, and update the calibrated SOC in the SOC model, so that the accuracy of the SOC model can be improved.
In order to achieve at least one of the above objects, the present invention further provides a battery early warning method for an energy storage power station, including the following steps:
acquiring voltage and current data of a battery stack, current data of a battery pack, voltage, current and SOC data of a single battery, and establishing a power station battery early warning model;
generating standard charging and discharging curves of a power station battery stack, a battery pack and a single battery;
generating actual charging and discharging curves of the battery stack, the battery pack and the single battery of the power station according to the acquired voltage and current data of the battery stack, the acquired current data of the battery pack and the acquired voltage, current and SOC data of the single battery;
and judging whether a non-battery factor fault exists according to the actual charging and discharging curve, and if the non-battery factor fault does not exist, judging the fault reason through the power station battery early warning model.
According to one preferred embodiment of the present invention, the power station battery early warning model includes setting a stack current and voltage deviation threshold, comparing an actual current of the actual power station stack with a standard model current after inputting the actual current and voltage of the power station stack into the early warning model of the power station, comparing the actual voltage with the standard model voltage, and calculating a voltage difference and a current difference, respectively, and if at least one of the voltage difference and the current difference is greater than the voltage deviation threshold and the current deviation threshold, generating corresponding stack early warning information.
According to another preferred embodiment of the present invention, after reaching the early warning threshold of the cell stack or the battery pack, voltage data of the single cell under the cell stack or the battery pack corresponding to the early warning is obtained, the difference between the maximum value and the minimum value of the voltages of all the corresponding single cells is calculated, the voltage consistency threshold of the single cell is set, and if the difference between the maximum value and the minimum value of the voltage of the single cell is greater than the voltage consistency threshold of the single cell, voltage early warning information is output.
According to another preferred embodiment of the present invention, the power station battery early warning model includes setting battery pack current and voltage deviation thresholds, calculating actual values of current and voltage of each battery pack, comparing the actual values of current and voltage of the battery packs with the battery pack standard charge-discharge model respectively to calculate a current difference value and a voltage difference value, and generating the early warning information of the battery pack if at least one of the current difference value and the voltage difference value is greater than the corresponding battery pack current and voltage deviation thresholds.
According to another preferred embodiment of the present invention, after the warning information of the cell stack or the battery pack is obtained, the temperatures of the single cells in the corresponding cell stack and the battery pack are further calculated, the difference between the maximum value and the minimum value of the temperatures of all the corresponding single cells is calculated, a temperature consistency threshold is set, and if the difference between the maximum value and the minimum value in the single cells is greater than the temperature consistency curve, the temperature warning information is output.
According to another preferred embodiment of the present invention, the early warning method further comprises: establishing a relation model of the initial voltage of single battery charging and discharging and the battery SOC, calculating the coupling degree difference value of the initial voltage of single battery charging and discharging and the battery SOC, setting a coupling degree threshold value, when the coupling degree difference value of the initial voltage of single battery charging and discharging and the battery SOC is larger than the coupling degree threshold value, combining an OVC standard model to recalibrate the single battery SOC, setting a capacity threshold value, obtaining the current capacity of the single battery according to the relation model of the initial voltage and the battery SOC, and generating capacity early warning information if the capacity is smaller than the capacity threshold value.
According to another preferred embodiment of the present invention, the early warning method further comprises: and establishing an OVC-T model of a relation model among the charging and discharging voltage, the time and the SOC of the single battery, and performing early warning on the overcharge and the overdischarge of the battery when the detected voltage reaches a threshold value of the overcharge and the overdischarge of the battery or performing early warning on the capacity fading when the detected voltage reaches a threshold value of the capacity fading early warning and predicting the dischargeable time length and the future fading degree of the battery.
According to another preferred embodiment of the present invention, the early warning method further comprises: the method comprises the steps of setting output current of a measurement battery pack in unit measurement time, calculating output current of the battery pack in each measurement time, calculating difference value of the output current of adjacent unit measurement time, calculating standard deviation of the measurement current of all unit measurement time in one measurement period, presetting a current difference threshold value and a standard deviation threshold value of the battery pack, generating overcharge early warning if the difference value of the output current is larger than the current difference threshold value, and generating overdischarge early warning information if the standard deviation of the measurement current is larger than the preset standard deviation threshold value of the battery pack.
In order to achieve at least one of the above objects, the present invention further provides an energy storage power station battery early warning system, which executes the above energy storage power station battery early warning method.
The invention further provides a computer-readable storage medium storing a computer program, which can be executed by a processor to perform the energy storage power station battery warning method.
Drawings
Fig. 1 shows a schematic flow chart of a battery early warning method for an energy storage power station according to the present invention.
Fig. 2 is a detailed flow diagram illustrating a battery early warning method for an energy storage power station according to the present invention.
Detailed Description
The following description is presented to disclose the invention so as to enable any person skilled in the art to practice the invention. The preferred embodiments in the following description are given by way of example only, and other obvious variations will occur to those skilled in the art. The basic principles of the invention, as defined in the following description, may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
It is understood that the terms "a" and "an" should be interpreted as meaning that a number of one element or element is one in one embodiment, while a number of other elements is one in another embodiment, and the terms "a" and "an" should not be interpreted as limiting the number.
Referring to fig. 1-2, the present invention discloses a method and a system for early warning a battery of an energy storage power station, wherein the method comprises the following steps: the method comprises the steps that firstly, a power station acquisition device acquires data of an energy storage battery, wherein the energy storage battery comprises a battery stack, a battery pack and single batteries, a plurality of single batteries form the battery stack, and a plurality of battery packs form the battery stack.
Specifically, the method comprises the following steps: firstly, battery related data such as battery stack voltage and current, battery pack current, single battery voltage and SOC of BMS data in a power station need to be reported to the cloud. And constructing a standard charge-discharge IV curve corresponding to the battery stacks, the battery packs and the monocells by combining a preset charge-discharge strategy according to the number of the battery stacks, the number of the battery packs, the types of the single batteries and the connection mode of the power station.
The method comprises the steps that a power station battery early warning model is constructed on the basis of standard charge-discharge IV curves of a battery stack, a battery pack and a single battery SOC, when real-time voltages and currents of the power station battery stack, the battery pack and the single battery, the single battery voltage and the single battery SOC are obtained and then input into the power station battery early warning model for judgment, the difference value of actual voltage and standard voltage under the same current is calculated, or the difference value of the actual current and standard current under the same voltage is calculated, and a voltage difference value threshold value of the battery stack and a battery pair current difference value threshold value are set in the battery early warning model; the battery pack voltage difference value threshold value, the single battery voltage difference value threshold value and the single battery current difference value threshold value. The reason and the position of the battery fault are obtained through a layered comparison mode, so that the battery fault of the power station can be quickly positioned. It should be noted that when the difference between the acquired battery current or voltage and the standard voltage is greater than the corresponding threshold, it needs to be determined whether there is voltage or current fluctuation caused by external factors due to non-battery factors, for example, the current suddenly rises due to a motor fault, and therefore the external non-battery factors need to be eliminated before being input into the power station battery early warning model to determine the level and the cause of the battery fault.
For example, after the real-time voltage and the real-time current of the battery stack of the power station are obtained, the difference value between the real-time voltage and the standard voltage of the battery stack under the same current is calculated according to a preset standard charging and discharging curve strategy of the battery stack, and if the difference value between the real-time voltage and the standard voltage of the battery stack is greater than a preset battery stack voltage difference value threshold, the fault of the battery stack can be judged; or calculating the difference value of the real-time current and the standard current of the battery stack under the same voltage according to a preset standard charging and discharging curve strategy of the battery stack, and if the difference value is larger than a preset battery stack current difference value threshold value in the battery early warning model, generating early warning information of the battery stack. In another preferred embodiment of the present invention, the charge and discharge starting voltage and current of the cell stack are calculated, the comparison calculation difference between the actual charge and discharge starting voltage and the standard starting voltage of the cell stack is calculated, the comparison calculation difference between the actual charge and discharge starting current and the standard starting current of the cell stack is calculated, and if the difference between the actual charge and discharge starting voltage and the standard starting voltage of the cell stack is greater than the preset voltage difference threshold of the cell stack, the warning information of the cell stack is generated. And if the difference value between the actual charging and discharging initial current and the standard initial current of the cell stack is larger than the preset current difference value threshold value of the cell stack, generating early warning information of the cell stack.
After the real-time voltage and the real-time current of a battery pack of a power station are obtained, calculating the difference value of the real-time voltage and the standard voltage of the battery pack under the same current according to a preset standard repeated curve strategy of the battery pack, and if the difference value of the real-time voltage of the battery pack and the standard voltage of the battery pack is greater than a preset battery stack voltage difference value threshold, judging that the battery pack has a fault; or calculating the difference value between the real-time current and the standard current of the battery pack under the same voltage according to a preset standard charging and discharging curve strategy of the battery pack, and if the difference value is larger than a preset battery pack current difference value threshold value in the battery early warning model, generating early warning information of the battery pack.
Further, after the battery pack or the battery stack has the early warning information, acquiring temperature data of each single cell under the corresponding battery pack or the battery stack, and calculating the difference between the maximum value and the minimum value of the temperature of the single cell under the corresponding battery pack or the battery stack, wherein a temperature consistency threshold value is set in the battery early warning model, and if the difference between the maximum value and the minimum value of the temperature of the single cell under the corresponding battery pack or the battery stack is greater than a preset temperature consistency threshold value, the temperature consistency early warning information of the corresponding battery pack or the battery stack is generated.
After early warning information of the battery pack or the battery stack is acquired, acquiring output voltage data of each single battery under the corresponding battery pack or battery pair, and calculating the difference between the maximum value and the minimum value of the voltage of all the single batteries, wherein a voltage consistency threshold value is arranged in the battery early warning model, and when the difference between the maximum value and the minimum value of the voltage of all the single batteries is greater than a preset voltage consistency threshold value, the voltage consistency early warning information of the corresponding battery pack or battery stack is generated.
The battery early warning model further analyzes a relation model between the charge and discharge initial voltage of the single battery and the SOC, wherein the SOC model can be predetermined according to the type of the battery and is used for analyzing the relation between the capacity of the single battery and the charge and discharge initial voltage of the single battery. The battery early warning model in the invention sets the capacity early warning threshold value of the single battery, wherein when the coupling relation between the charging and discharging initial voltage and the SOC is smaller and smaller along with the time lapse and the relation between the voltage and the SOC is transversely diffused and reaches the early warning threshold value, the SOC of the single battery is recalibrated by combining the OVC standard model, wherein the recalibration process is as follows: and when the capacity early warning is achieved, replacing the standard SOC corresponding to the voltage to the current voltage value according to the standard OVC model. And when the capacity early warning threshold value is reached, capacity early warning is carried out, the calibrated single SOC data is updated in a relation model of the voltage and the SOC, the SOC of the battery is updated, the accuracy is improved, and a closed loop is formed.
The battery early warning model further analyzes the relation among the charge and discharge voltage, the time and the SOC of the single battery and establishes an OVC-T model, wherein the OVC-T model is a variation model generated along with the increase of the charge and discharge times of the standard corresponding relation of the voltage and the SOC, the OVC-T model is subjected to longitudinal accumulation comparison to obtain a capacity attenuation value, the battery early warning model sets a capacity attenuation threshold value, capacity attenuation early warning information is generated when the capacity attenuation value is larger than the preset capacity attenuation threshold value, and the dischargeable time and the future attenuation degree of the battery are predicted. And the battery overcharge and overdischarge can be judged by analyzing the detected charge and discharge voltage of the single battery.
The invention further calculates the current smoothness of all the single batteries in the corresponding battery pack, wherein the calculation method of the current smoothness comprises the following steps: setting unit detection time, wherein the unit detection time can be every 1 second or 10 seconds, detecting the charge and discharge current of a single battery in a corresponding battery pack under the unit detection time, forming the charge and discharge current in the whole detection period into data of current change along with time, calculating the maximum value and the minimum value of the charge and discharge current in the whole detection period, calculating the difference value of the maximum value and the minimum value of the detection current, setting a current smoothness threshold value by using a battery early warning model, and if the difference value of the maximum value and the minimum value of the detection current is greater than the current smoothness threshold value set by using the battery early warning model, generating current smoothness early warning information. The invention can further detect the temperature of the single battery in unit detection time, calculate the temperature smoothness and judge whether the temperature smoothness meets the requirements by setting a temperature smoothness threshold, and the invention is not repeated.
Further converting the temperature, voltage, current, SOC, cycle times, discharge depth and parameter smoothness of the battery into specific scores in combination with a battery early warning model, and carrying out health degree assessment (SOH) to be divided into three grades of 100-80 superior, 80-50 superior and 50-0 poor, wherein in another preferred embodiment of the invention, the weights can be respectively configured for the health degree of the battery instead of the temperature, the voltage, the current SOC, the cycle times, the discharge depth and the parameter smoothness, so that the health degree of a battery pack, a battery stack and a single battery can be better assessed.
Outputting a processing suggestion according to the early warning result: whether the whole energy storage station needs to execute large maintenance measures, whether the cell stack needs to perform small maintenance measures, whether the single battery needs to be subjected to charging measures and independent discharging measures, whether the cell voltage manual balancing measures need to be carried out, whether the single battery needs to be replaced or not is evaluated, and safety protection measures and implementation steps are required to be made among the measures.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section, and/or installed from a removable medium. The computer program, when executed by a Central Processing Unit (CPU), performs the above-described functions defined in the method of the present application. It should be noted that the computer readable medium mentioned above in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wire segments, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless section, wire section, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It will be understood by those skilled in the art that the embodiments of the present invention described above and illustrated in the drawings are given by way of example only and not by way of limitation, the objects of the invention having been fully and effectively achieved, the functional and structural principles of the present invention having been shown and described in the embodiments, and that various changes or modifications may be made in the embodiments of the present invention without departing from such principles.
Claims (10)
1. The early warning method for the battery of the energy storage power station is characterized by comprising the following steps:
acquiring voltage and current data of a battery stack, current data of a battery pack, voltage, current and SOC data of a single battery, and establishing a power station battery early warning model;
generating standard charging and discharging curves of a power station battery stack, a battery pack and a single battery;
generating actual charging and discharging curves of the battery stack, the battery pack and the single battery of the power station according to the acquired voltage and current data of the battery stack, the acquired current data of the battery pack and the acquired voltage, current and SOC data of the single battery;
and judging whether a non-battery factor fault exists according to the actual charging and discharging curve, and if the non-battery factor fault does not exist, judging the fault reason through the power station battery early warning model.
2. The energy storage power station battery early warning method of claim 1, wherein the power station battery early warning model comprises setting stack current and voltage deviation threshold values, comparing the actual current of the power station battery stack with the standard model current after inputting the actual current and voltage of the power station battery stack into the early warning model of the power station, comparing the actual voltage with the standard model voltage, respectively calculating a voltage difference and a current difference, and generating corresponding battery stack early warning information if at least one of the voltage difference and the current difference is greater than the voltage deviation threshold value and the current deviation threshold value, respectively.
3. The energy storage power station battery early warning method of claim 1, characterized in that after an early warning threshold of a battery stack or a battery pack is reached, voltage data of single batteries under the battery stack or the battery pack corresponding to the early warning is obtained, a difference value between the maximum value and the minimum value of the voltage of all the corresponding single batteries is calculated, a single battery voltage consistency threshold is set, and if the difference value between the maximum value and the minimum value of the voltage of the single batteries is greater than the battery voltage consistency threshold, voltage early warning information is output.
4. The energy storage power station battery early warning method of claim 1, wherein the power station battery early warning model comprises setting battery pack current and voltage deviation thresholds, calculating actual values of current and voltage of each battery pack, comparing the actual values of current and voltage of the battery packs with a battery pack standard charging and discharging model respectively to calculate a current difference value and a voltage difference value, and generating early warning information of the battery packs if at least one of the current difference value and the voltage difference value is greater than the corresponding battery pack current and voltage deviation thresholds.
5. The energy storage power station battery early warning method of claim 1, characterized in that after the early warning information of the battery stack or the battery pack is obtained, the temperature of the single batteries in the corresponding battery stack and the battery pack is further calculated, the difference between the maximum value and the minimum value of the temperature of all the corresponding single batteries is calculated, a temperature consistency threshold is set, and if the difference between the maximum value and the minimum value in the single batteries is larger than the temperature consistency curve, the temperature early warning information is output.
6. The energy storage power station battery early warning method of claim 1, further comprising: establishing a relation model of the initial voltage of single battery charging and discharging and the battery SOC, calculating the coupling degree difference value of the initial voltage of single battery charging and discharging and the battery SOC, setting a coupling degree threshold value, when the coupling degree difference value of the initial voltage of single battery charging and discharging and the battery SOC is larger than the coupling degree threshold value, combining an OVC standard model to recalibrate the single battery SOC, setting a capacity threshold value, obtaining the current capacity of the single battery according to the relation model of the initial voltage and the battery SOC, and generating capacity early warning information if the capacity is smaller than the capacity threshold value.
7. The energy storage power station battery early warning method of claim 6, further comprising: and establishing an OVC-T model of a relation model among the charging and discharging voltage, the time and the SOC of the single battery, and performing early warning on the overcharge and the overdischarge of the battery when the detected voltage reaches a threshold value of the overcharge and the overdischarge of the battery or performing early warning on the capacity fading when the detected voltage reaches a threshold value of the capacity fading early warning and predicting the dischargeable time length and the future fading degree of the battery.
8. The energy storage power station battery early warning method of claim 1, further comprising: the method comprises the steps of setting output current of a measurement battery pack in unit measurement time, calculating output current of the battery pack in each measurement time, calculating difference value of the output current of adjacent unit measurement time, calculating standard deviation of the measurement current of all unit measurement time in one measurement period, presetting a current difference threshold value and a standard deviation threshold value of the battery pack, generating overcharge early warning if the difference value of the output current is larger than the current difference threshold value, and generating overdischarge early warning information if the standard deviation of the measurement current is larger than the preset standard deviation threshold value of the battery pack.
9. An energy storage power station battery early warning system, characterized in that the system executes the energy storage power station battery early warning method of any one of claims 1-8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, which can be executed by a processor to perform a method of energy storage plant battery warning according to any one of claims 1 to 8.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115877222A (en) * | 2023-02-14 | 2023-03-31 | 国网浙江省电力有限公司宁波供电公司 | Energy storage power station fault detection method and device, medium and energy storage power station |
| CN115963408A (en) * | 2022-12-19 | 2023-04-14 | 北京双登慧峰聚能科技有限公司 | Fault early warning system and method for single battery of energy storage power station |
| CN117013583A (en) * | 2023-09-28 | 2023-11-07 | 烟台开发区德联软件有限责任公司 | Fault early warning method and system for electrochemical energy storage power station |
| CN117244196A (en) * | 2023-11-17 | 2023-12-19 | 杭州高特电子设备股份有限公司 | Fire control method and device for energy storage battery, computer equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115963408A (en) * | 2022-12-19 | 2023-04-14 | 北京双登慧峰聚能科技有限公司 | Fault early warning system and method for single battery of energy storage power station |
| CN115963408B (en) * | 2022-12-19 | 2024-04-16 | 北京双登慧峰聚能科技有限公司 | Energy storage power station single battery fault early warning system and method |
| CN115877222A (en) * | 2023-02-14 | 2023-03-31 | 国网浙江省电力有限公司宁波供电公司 | Energy storage power station fault detection method and device, medium and energy storage power station |
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