CN116500451A - Online monitoring system for storage battery - Google Patents
Online monitoring system for storage battery Download PDFInfo
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- CN116500451A CN116500451A CN202310627571.7A CN202310627571A CN116500451A CN 116500451 A CN116500451 A CN 116500451A CN 202310627571 A CN202310627571 A CN 202310627571A CN 116500451 A CN116500451 A CN 116500451A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 113
- 230000007613 environmental effect Effects 0.000 claims abstract description 45
- 238000004458 analytical method Methods 0.000 claims abstract description 38
- 238000003062 neural network model Methods 0.000 claims description 17
- 238000012549 training Methods 0.000 claims description 13
- 238000005259 measurement Methods 0.000 claims description 10
- 238000012360 testing method Methods 0.000 claims description 10
- 238000012937 correction Methods 0.000 claims description 7
- 238000013079 data visualisation Methods 0.000 claims description 4
- 238000009529 body temperature measurement Methods 0.000 claims description 3
- 238000010234 longitudinal analysis Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 2
- 238000012806 monitoring device Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 239000000178 monomer Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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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 provides an on-line monitoring system of a storage battery, which comprises the storage battery, a convergence module, a single cell monitoring module, a current temperature monitoring module, a thermal runaway module and a local management platform, wherein the single cell monitoring module corresponds to the storage battery one by one and is connected with the storage battery, so that the single cell monitoring module can collect single cell data of the storage battery, the current temperature monitoring module is used for monitoring current and environmental temperature data of a group of storage batteries in real time, the thermal runaway module is used for obtaining single cell data collected by the single cell monitoring module and monitoring data of the current temperature monitoring module, the thermal runaway module is used for analyzing the thermal runaway of the storage battery according to the single cell data and the monitoring data to generate analysis data, the convergence module is used for controlling, collecting, analyzing and storing the data and executing functions of the single cell monitoring module, the current temperature monitoring module and the thermal runaway module, and transmitting the data to the local management platform, and the local management platform is used for storing, counting and displaying the received data.
Description
Technical Field
The invention relates to the technical field of storage battery monitoring, in particular to an online storage battery monitoring system.
Background
The battery energy storage power station is a power supply facility for storing surplus electric energy of the power grid in the valley period by using the storage battery and sending the surplus electric energy back to the power grid in the peak period to relieve the power shortage. In order to ensure the operation safety of the storage battery, the internal resistance and the floating charge voltage of the storage battery need to be inspected periodically according to the technical standard of the full life cycle of the storage battery and the corresponding management requirement standard, and the existing storage battery on-line monitoring system can only measure the voltage and the current of the storage battery and cannot measure parameters such as the internal resistance of a single battery, the temperature of the single battery and the like of the storage battery. Meanwhile, the existing storage battery on-line monitoring device frequently and mistakenly reports that the voltage of a storage battery monomer is low, and the stable operation of a direct current system is affected.
Disclosure of Invention
Accordingly, it is an object of the present invention to provide an online monitoring system for a storage battery, which solves or at least partially solves the above-mentioned problems of the prior art.
In order to achieve the above object, the present invention provides an on-line monitoring system for a storage battery, the system includes a plurality of storage batteries, a convergence module, a cell monitoring module, a current temperature monitoring module, a thermal runaway module, and a local management platform, each cell monitoring module corresponds to one storage battery and is connected with the other storage battery, so that the cell monitoring module can collect cell data of the storage battery, the current temperature monitoring module is used for monitoring current and environmental temperature data of a group of storage batteries in real time, the thermal runaway module is used for obtaining cell data collected by the cell monitoring module, and monitoring data of the current temperature monitoring module, the analysis data is generated by analyzing the thermal runaway of the storage battery according to the cell data and the monitoring data, the convergence module is used for controlling, collecting data collection and function execution of the cell monitoring module, the current temperature monitoring module and the thermal runaway module, analyzing, storing and displaying the data, and transmitting the data to the local management platform, and the local management platform is used for storing, counting and displaying the received data.
Further, the cell monitoring module includes:
the voltage measurement sub-module is used for measuring the voltage data of the single battery of the storage battery;
the internal resistance measurement submodule is used for measuring the internal resistance of the single battery of the storage battery;
the temperature measurement submodule is used for measuring the temperature of the single battery of the storage battery;
and the internal resistance analysis sub-module is used for obtaining and solidifying the reference internal resistance value data of each single battery, and judging the performance change condition of the single battery according to the transverse and longitudinal analysis and comparison of the reference internal resistance value and the real-time internal resistance of the single battery.
Further, the current temperature monitoring module includes:
the charge-discharge current monitoring sub-module is used for monitoring the charge-discharge current of the storage battery in real time;
and the temperature monitoring sub-module is used for monitoring the ambient temperature of the storage battery in real time.
Further, the thermal runaway module includes:
the data acquisition sub-module is used for respectively acquiring the single battery data and the monitoring data of the storage battery from the single battery monitoring module and the current temperature monitoring module;
the analysis submodule is used for analyzing the thermal runaway trend and the thermal runaway reason according to the single battery data and the ambient temperature;
and the correction sub-module is used for acquiring the surrounding environment data of the storage battery, analyzing the surrounding environment data and correcting the thermal runaway reason of the storage battery according to an analysis result.
Further, the analysis submodule is specifically configured to establish a neural network model, create a training set and a testing set, where the training set and the testing set both include corresponding historical battery environment data and historical analysis conclusion, perform iterative training on the neural network model through the training set until a deviation value of an analysis conclusion corresponding to the battery environment data of a model output result is smaller than a preset threshold when the neural network model is tested through the battery environment data in the testing set, input real-time single battery data and ambient temperature into the neural network model after training, and obtain a thermal runaway trend and a thermal runaway cause output by the neural network model, where the historical battery environment data includes single battery historical data and ambient temperature in a corresponding historical period, and the historical analysis conclusion is the thermal runaway trend and the thermal runaway cause corresponding to the historical battery environment data.
Further, the correction submodule is specifically configured to establish a storage battery knowledge base, an environmental knowledge base and an environmental event base, query a latest environmental event in the environmental event base, query a corresponding environmental knowledge item in the environmental knowledge base according to the latest environmental event, determine an environmental change caused by the latest environmental event, determine a positive or negative influence of the environmental change on thermal runaway of the storage battery based on the storage battery knowledge base, and transmit positive or negative influence information to the analysis submodule, so that the analysis submodule can adjust a thermal runaway trend and a thermal runaway cause of the storage battery according to the positive or negative influence information, wherein the storage battery knowledge base is used for storing storage battery knowledge information, the environmental knowledge base is used for storing environmental knowledge information, and the environmental event base is used for storing environmental event data.
Further, the voltage measurement submodule measures the voltage data of the single battery of the storage battery through a voltage monitoring line, and the voltage monitoring line adopts a guide rail type fuse connecting terminal.
Further, the local management platform specifically includes:
the data visualization module is used for realizing the visual display of the single voltage, the single internal resistance, the single temperature, the group voltage, the charge and discharge current, the ambient temperature, the thermal runaway trend and the floating charge flow data of the storage battery;
the alarm management module is used for realizing automatic alarm of data overrun, alarm grading and alarm event customization
Further, the local management platform specifically further includes: and the data export module is used for exporting the relevant monitoring data of the storage battery.
Compared with the prior art, the invention has the beneficial effects that:
1. the system realizes the functions of monitoring the single battery data, the current and the environmental temperature data of the storage battery in real time, simultaneously realizing the functions of overrun automatic alarming, alarming grading, alarming event self-definition and the like of related data, and on-duty personnel can timely acquire alarming information through a local management platform, thereby ensuring the safe and stable operation of a direct current system of a power plant, and simultaneously leading out the related monitoring data of the storage battery by one key by the management personnel to analyze the operation state of the direct current system and improve the working efficiency of operation maintainers;
2. the system adopts the voltage monitoring line of the guide rail type fuse binding post to measure the single battery voltage data of the storage battery, avoids the occurrence of frequent false alarm caused by low single battery voltage, and ensures the safe and stable operation of the direct current system.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only preferred embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an overall structure of an online monitoring system for a storage battery according to an embodiment of the present invention.
In the figure, a storage battery 1, a convergence module 2, a single cell monitoring module 3, a current temperature monitoring module 4, a thermal runaway module 5 and a local management platform 6.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the illustrated embodiments are provided for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
Referring to fig. 1, the present embodiment provides an on-line monitoring system for a storage battery, which includes a plurality of storage batteries 1, a convergence module 2, a cell monitoring module 3, a current temperature monitoring module 4, a thermal runaway module 5, and a local management platform 6. Each cell monitoring module 3 corresponds to one storage battery 1 and is connected with the storage battery 1, so that the cell monitoring module 3 can collect data such as cell voltage, internal resistance, temperature and the like of the storage battery connected with the cell monitoring module. The current temperature monitoring module 4 is used for monitoring current and environmental temperature data of the group of storage batteries 1 in real time. The thermal runaway module 5 is used for acquiring the single battery data acquired by the single battery monitoring module 3 and the monitoring data acquired by the current temperature monitoring module, and analyzing the thermal runaway of the storage battery 1 according to the single battery data and the monitoring data to generate analysis data. The convergence module 2 is used for controlling and collecting data acquisition and function execution of the single cell monitoring module 3, the current temperature monitoring module 4 and the thermal runaway module 5, analyzing, storing and displaying relevant acquired data, and transmitting the data to the local management platform 6. The local management platform 6 is used for storing, counting and displaying the received data.
In this embodiment, the unit cell monitoring module 3 specifically includes a voltage measurement sub-module, an internal resistance measurement sub-module, a temperature measurement sub-module, and an internal resistance analysis sub-module.
The voltage measurement submodule is used for measuring the voltage data of the single battery of the storage battery 1. The internal resistance measuring submodule is used for measuring the internal resistance of the single battery of the storage battery 1. The temperature measuring submodule is used for measuring the temperature of the single battery of the storage battery 1. The internal resistance analysis submodule is used for obtaining and solidifying the reference internal resistance value of each single battery, and carrying out transverse and longitudinal analysis and comparison according to the reference internal resistance value and the real-time internal resistance of the single battery so as to judge the performance change condition of the single battery.
As a preferred example, the voltage measurement submodule measures the cell voltage data of the battery 1 through a voltage monitoring line, and the voltage monitoring line adopts a rail-type fuse terminal. The existing on-line monitoring device for the whole-plant storage battery of the power station is easy to contact poorly due to the fact that the safety position of the single storage battery detection line is poor, so that the on-line monitoring device for the whole-plant storage battery frequently gives false alarm that the single storage battery voltage is low, and the alarm is reset immediately after the single storage battery detection line is fastened. The guide rail type fuse wiring terminal is adopted to replace the old fuse terminal, so that the problem of low voltage frequent false alarm of the storage battery monomer caused by the loosening of the fuse in the voltage monitoring line can be solved, and the stable operation of the direct current system is further ensured.
The current temperature monitoring module 4 specifically includes a charge-discharge current monitoring sub-module and a temperature monitoring sub-module. The charge-discharge current monitoring submodule is used for monitoring the charge-discharge current of the storage battery 1 in real time. The temperature monitoring submodule is used for monitoring the ambient temperature of the storage battery 1 in real time.
The thermal runaway module 5 specifically includes a data acquisition sub-module, an analysis sub-module, and a correction sub-module.
The data acquisition sub-module is used for respectively acquiring the single battery data and the monitoring data of the storage battery 1 from the single battery monitoring module 3 and the current temperature monitoring module 4.
The analysis submodule is used for analyzing the thermal runaway trend and the thermal runaway reason according to the single battery data and the ambient temperature. In this embodiment, the analysis submodule first establishes a neural network model, and creates a training set and a testing set based on historical battery environment data and historical analysis conclusion, wherein the historical battery environment data includes historical single battery data and historical surrounding environment data, and the historical analysis conclusion includes historical thermal runaway trend information and thermal runaway causes. The training set and the test set both contain corresponding historical battery environment data and historical analysis conclusions, namely the historical battery environment data can be deduced necessarily to obtain the corresponding historical analysis conclusions. And carrying out iterative training on the neural network model through the training set until the deviation value of the output result of the neural network model and the analysis conclusion corresponding to the battery environment data in the test set is smaller than a preset threshold value when the neural network model is tested through the battery environment data in the test set, wherein the analysis accuracy of the model basically reaches an expected value, and stopping the iterative training on the neural network model. And inputting the real-time single battery data and the ambient temperature into the trained neural network model to obtain the thermal runaway trend and the thermal runaway cause output by the neural network model. And in the corresponding historical battery environment data and historical analysis conclusion, the historical battery environment data comprises the historical data of the single battery and the ambient environment temperature of the corresponding historical period, and the historical analysis conclusion is the thermal runaway trend and the thermal runaway cause corresponding to the historical battery environment data.
The correction sub-module is used for acquiring the surrounding environment data of the storage battery, analyzing the surrounding environment data and correcting the thermal runaway reason of the storage battery according to an analysis result.
In this embodiment, the correction submodule is specifically configured to establish a storage battery knowledge base, an environmental knowledge base and an environmental event base, query a latest environmental event in the environmental event base, query a corresponding environmental knowledge item in the environmental knowledge base according to the latest environmental event, determine an environmental change caused by the latest environmental event, determine a positive or negative influence of the environmental change on thermal runaway of the storage battery based on the storage battery knowledge base, and transmit positive or negative influence information to the analysis submodule, so that the analysis submodule can adjust a thermal runaway trend and a thermal runaway cause of the storage battery according to the positive or negative influence information, and when the environmental change caused by the environmental event has a positive influence on the thermal runaway of the storage battery, evaluate the thermal runaway trend of the storage battery relatively optimistically; if there is a negative impact on thermal runaway of the battery, it is desirable to evaluate the thermal runaway trend of the battery relatively pessimistically. Meanwhile, according to the positive and negative effects of environmental changes on the thermal runaway of the storage battery and the related monitoring data of the storage battery, whether the thermal runaway of the storage battery is caused by the environment or the storage battery has problems can be further analyzed, so that operation maintenance personnel can check the thermal runaway in time. The storage battery knowledge base is used for storing storage battery knowledge information, the environment knowledge base is used for storing environment knowledge information, and the environment event base is used for storing environment event data.
The local management platform 6 specifically includes a data visualization module, an alarm management module, and a data export module.
The data visualization module is used for realizing the visual display of the single voltage, the single internal resistance, the single temperature, the group voltage, the charge-discharge current, the ambient temperature, the thermal runaway trend and the floating charge flow data of the storage battery. After receiving the data, the local management platform 6 stores the data for inquiry, and divides the data into a device statistics area, a device alarm statistics area and a battery pack real-time data display area for statistics and ring chart display.
The alarm management module is used for realizing automatic alarm of data overrun, alarm grading and alarm event customization, and the data comprises single battery data, monitoring data and environmental temperature data.
The data export module is used for exporting the relevant monitoring data of the storage battery, thereby being convenient for a manager to export the relevant storage data of the battery to analyze the running state of the direct current system and improving the working efficiency of the running maintenance of the system.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (9)
1. The system is characterized by comprising a plurality of storage batteries, a convergence module, a single cell monitoring module, a current temperature monitoring module, a thermal runaway module and a local management platform, wherein each single cell monitoring module corresponds to one storage battery and is connected with the corresponding storage battery, so that the single cell monitoring module can collect single cell data of the storage battery, the current temperature monitoring module is used for monitoring current and environmental temperature data of a group of storage batteries in real time, the thermal runaway module is used for obtaining single cell data collected by the single cell monitoring module and monitoring data of the current temperature monitoring module, the thermal runaway of the storage battery is analyzed according to the single cell data and the monitoring data to generate analysis data, the convergence module is used for controlling and collecting data collection and function execution of the single cell monitoring module, the current temperature monitoring module and the thermal runaway module, analyzing, storing and displaying the data, and transmitting the data to the local management platform is used for storing, counting and displaying the received data.
2. The battery on-line monitoring system of claim 1, wherein the cell monitoring module comprises:
the voltage measurement sub-module is used for measuring the voltage data of the single battery of the storage battery;
the internal resistance measurement submodule is used for measuring the internal resistance of the single battery of the storage battery;
the temperature measurement submodule is used for measuring the temperature of the single battery of the storage battery;
and the internal resistance analysis sub-module is used for obtaining and solidifying the reference internal resistance value data of each single battery, and judging the performance change condition of the single battery according to the transverse and longitudinal analysis and comparison of the reference internal resistance value and the real-time internal resistance of the single battery.
3. The battery on-line monitoring system of claim 1, wherein the current temperature monitoring module comprises:
the charge-discharge current monitoring sub-module is used for monitoring the charge-discharge current of the storage battery in real time;
and the temperature monitoring sub-module is used for monitoring the ambient temperature of the storage battery in real time.
4. The battery on-line monitoring system of claim 1, wherein the thermal runaway module comprises:
the data acquisition sub-module is used for respectively acquiring the single battery data and the monitoring data of the storage battery from the single battery monitoring module and the current temperature monitoring module;
the analysis submodule is used for analyzing the thermal runaway trend and the thermal runaway reason according to the single battery data and the ambient temperature;
and the correction sub-module is used for acquiring the surrounding environment data of the storage battery, analyzing the surrounding environment data and correcting the thermal runaway reason of the storage battery according to an analysis result.
5. The online monitoring system of a storage battery according to claim 4, wherein the analysis submodule is specifically configured to establish a neural network model, create a training set and a testing set, where the training set and the testing set each include corresponding historical battery environment data and historical analysis conclusion, iteratively train the neural network model through the training set until a deviation value of an analysis conclusion corresponding to a model output result and battery environment data is smaller than a preset threshold when the neural network model is tested through the battery environment data in the testing set, input real-time single battery data and ambient environment temperature into the trained neural network model, and obtain a thermal runaway trend and a thermal runaway cause output by the neural network model, where the historical battery environment data includes a single battery historical data and an ambient environment temperature in a corresponding historical period, and the historical analysis conclusion is the thermal runaway trend and the thermal runaway cause corresponding to the historical battery environment data.
6. The online monitoring system of a storage battery according to claim 4, wherein the correction submodule is specifically configured to establish a storage battery knowledge base, an environmental knowledge base and an environmental event base, query a latest environmental event in the environmental event base, query a corresponding environmental knowledge item in the environmental knowledge base according to the latest environmental event, determine an environmental change caused by the latest environmental event, determine a positive or negative influence of the environmental change on thermal runaway of the storage battery based on the storage battery knowledge base, and transmit positive or negative influence information to the analysis submodule, so that the analysis submodule can adjust a thermal runaway trend and a thermal runaway cause of the storage battery according to the positive or negative influence information, wherein the storage battery knowledge base is configured to store the storage battery knowledge information, and the environmental event base is configured to store environmental event data.
7. The on-line monitoring system of claim 2, wherein the voltage measurement submodule measures the cell voltage data of the battery via a voltage monitoring line, and the voltage monitoring line adopts a rail type fuse terminal.
8. The online monitoring system of a storage battery according to claim 1, wherein the local management platform specifically comprises:
the data visualization module is used for realizing the visual display of the single voltage, the single internal resistance, the single temperature, the group voltage, the charge and discharge current, the ambient temperature, the thermal runaway trend and the floating charge flow data of the storage battery;
and the alarm management module is used for realizing automatic alarm of data overrun, alarm classification and alarm event customization.
9. The on-line monitoring system of claim 8, wherein the local management platform specifically further comprises:
and the data export module is used for exporting the relevant monitoring data of the storage battery.
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Cited By (1)
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| 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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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN117244196B (en) * | 2023-11-17 | 2024-02-20 | 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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