CN118888881B - Energy storage battery cabinet and security self-starting method thereof - Google Patents
Energy storage battery cabinet and security self-starting method thereof Download PDFInfo
- Publication number
- CN118888881B CN118888881B CN202411368744.9A CN202411368744A CN118888881B CN 118888881 B CN118888881 B CN 118888881B CN 202411368744 A CN202411368744 A CN 202411368744A CN 118888881 B CN118888881 B CN 118888881B
- Authority
- CN
- China
- Prior art keywords
- energy storage
- security
- storage battery
- cabinet
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 242
- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000001816 cooling Methods 0.000 claims abstract description 61
- 238000012545 processing Methods 0.000 claims abstract description 30
- 238000012544 monitoring process Methods 0.000 claims abstract description 12
- 230000008859 change Effects 0.000 claims description 48
- 238000011282 treatment Methods 0.000 claims description 39
- 230000005540 biological transmission Effects 0.000 claims description 38
- 230000008569 process Effects 0.000 claims description 15
- 238000011156 evaluation Methods 0.000 claims description 14
- 238000009833 condensation Methods 0.000 claims description 13
- 230000005494 condensation Effects 0.000 claims description 13
- 238000013209 evaluation strategy Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 11
- 230000007613 environmental effect Effects 0.000 claims description 9
- 238000007405 data analysis Methods 0.000 claims description 6
- 230000009467 reduction Effects 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 238000012935 Averaging Methods 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 239000003792 electrolyte Substances 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 239000007788 liquid Substances 0.000 claims description 3
- 238000002156 mixing Methods 0.000 claims description 3
- 230000005855 radiation Effects 0.000 claims description 3
- 239000003507 refrigerant Substances 0.000 claims description 3
- 238000011269 treatment regimen Methods 0.000 claims description 3
- 238000004880 explosion Methods 0.000 abstract description 2
- 238000012546 transfer Methods 0.000 abstract description 2
- 238000004590 computer program Methods 0.000 description 12
- 230000015654 memory Effects 0.000 description 10
- 230000006870 function Effects 0.000 description 4
- 230000010485 coping Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000002349 favourable effect Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000003449 preventive effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000000638 solvent extraction Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000002618 waking effect Effects 0.000 description 1
Classifications
-
- 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
-
- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C3/00—Fire prevention, containment or extinguishing specially adapted for particular objects or places
- A62C3/16—Fire prevention, containment or extinguishing specially adapted for particular objects or places in electrical installations, e.g. cableways
-
- 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
- H01M10/4285—Testing apparatus
-
- 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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/61—Types of temperature control
- H01M10/613—Cooling or keeping cold
-
- 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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/62—Heating or cooling; Temperature control specially adapted for specific applications
- H01M10/627—Stationary installations, e.g. power plant buffering or backup power supplies
-
- 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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/63—Control systems
- H01M10/633—Control systems characterised by algorithms, flow charts, software details or the like
-
- 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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/63—Control systems
- H01M10/635—Control systems based on ambient temperature
-
- 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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/65—Means for temperature control structurally associated with the cells
- H01M10/656—Means for temperature control structurally associated with the cells characterised by the type of heat-exchange fluid
- H01M10/6569—Fluids undergoing a liquid-gas phase change or transition, e.g. evaporation or condensation
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Automation & Control Theory (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Secondary Cells (AREA)
Abstract
本发明涉及储能柜安防技术领域，是一种储能电池柜及其安防自启动方法，具体方法包括：绘制储能柜中各个储能电池的安防冷却效率曲线；持续监测储能柜中各个储能电池的表面温度数据，并进行第一安防处理的执行判断；获取各个储能电池的工作温度数据及储能柜所处的环境温度数据，评估储能柜工作状态下各个储能电池的热量传输状态，进行第二安防处理的执行判断；调取储能柜中各个储能电池的安防冷却效率曲线，并根据第二安防处理的执行判断的结果调整二级安防策略的安防参数；本发明解决了现有技术中，储能柜的防高温防爆安防系统因受到环境的影响出现误报和误启动的问题。
The invention relates to the technical field of energy storage cabinet security, and is an energy storage battery cabinet and a security self-starting method thereof. The specific method comprises: drawing a security cooling efficiency curve of each energy storage battery in the energy storage cabinet; continuously monitoring the surface temperature data of each energy storage battery in the energy storage cabinet, and performing an execution judgment of a first security processing; obtaining the working temperature data of each energy storage battery and the ambient temperature data of the energy storage cabinet, evaluating the heat transfer state of each energy storage battery in the working state of the energy storage cabinet, and performing an execution judgment of a second security processing; retrieving the security cooling efficiency curve of each energy storage battery in the energy storage cabinet, and adjusting the security parameters of a secondary security strategy according to the result of the execution judgment of the second security processing; the invention solves the problem in the prior art that the high temperature and explosion proof security system of the energy storage cabinet is falsely reported and falsely started due to the influence of the environment.
Description
Technical Field
The invention relates to the technical field of security protection of energy storage cabinets, in particular to an energy storage battery cabinet and a security protection self-starting method thereof.
Background
In modern society, energy storage battery cabinets serve as important energy storage equipment, and have wide application prospects in power systems. However, the conventional energy storage battery cabinets have some limitations in terms of safety and automatic starting performance, and particularly when coping with high temperature and direct solar environments, the self-starting mechanism and safety protection function thereof need to be further improved and perfected. Conventional energy storage battery cabinets are started and stopped mainly by simple timing or manual operation, which lacks real-time response capability to external environmental changes. In terms of safety, since the energy storage battery cabinet is generally integrated with a large-capacity battery pack, the safety of the energy storage battery cabinet is closely related to management and control of the battery pack, including prevention of safety problems such as overcharge, overdischarge, short circuit and the like of the battery.
In the prior art, as disclosed in patent application with publication number CN114665172A, an energy storage battery cabinet and a security self-starting method thereof are disclosed, wherein when no mains supply is input into the energy storage battery cabinet, the BMS periodically wakes up based on a first uninterrupted power supply of the BMS and detects a battery state after waking up, and then if the BMS judges that the battery state meets a preset thermal runaway condition, a second uninterrupted power supply in the energy storage battery cabinet is waken up to supply power for a security unit in the energy storage battery cabinet, so that the security unit can execute security work.
The performance and safety requirements of the second ups may vary under different environmental conditions, particularly under extreme temperature or humidity conditions, and additional considerations are required for the performance and safety of the battery, which are a problem described in the background.
Disclosure of Invention
The invention aims to solve the technical problems that in the prior art, false alarm and false start occur due to the influence of environment on an anti-high-temperature anti-explosion security system of an energy storage cabinet, and provides an energy storage battery cabinet and a security self-starting method thereof.
In order to achieve the purpose, the technical scheme of the security self-starting method of the energy storage battery cabinet comprises the following steps:
s1, acquiring historical security cooling data of an energy storage cabinet, and drawing security cooling efficiency curves of all energy storage batteries in the energy storage cabinet according to the historical security cooling data;
S2, continuously monitoring surface temperature data of each energy storage battery in the energy storage cabinet, and performing execution judgment of first security treatment;
S3, acquiring working temperature data of each energy storage battery and environment temperature data of the energy storage cabinet by arranging a temperature sensor system in the energy storage cabinet, and importing the working temperature data into a thermal balance state evaluation strategy to evaluate the heat transmission state of each energy storage battery in the working state of the energy storage cabinet;
S4, performing execution judgment of second security treatment according to the heat transmission state of each energy storage battery under the working state of the energy storage cabinet obtained through evaluation;
s5, returning to the S1, calling the security cooling efficiency curve of each energy storage battery in the energy storage cabinet, and adjusting security parameters of the secondary security policy according to the result of the execution judgment of the second security processing.
The method comprises the following steps of S11, configuring sensor systems in condensing pipes of all energy storage batteries in an energy storage cabinet, wherein the sensor systems are uniformly distributed on n data acquisition points on the condensing pipes respectively;
s12, collecting condensate temperature data of a condensing pipe and pipe wall pressure data of the condensing pipe in the historical security cooling treatment process through a sensor system to form a condensate temperature data set A and a condensing pipe wall pressure data set B;
S13, introducing the condensate temperature data set A into a condensate temperature change coefficient calculation strategy to calculate and obtain a condensate temperature change coefficient a;
s14, introducing the condensing tube wall pressure data set B into a condensing tube wall pressure change coefficient calculation strategy to calculate and obtain a condensing tube wall pressure change coefficient B;
S15, drawing a security cooling efficiency curve of each energy storage battery in the energy storage cabinet according to the condensate temperature change coefficient a and the condensation pipe wall pressure change coefficient b, wherein the security cooling efficiency curve The functional expression of (2) is:; the temperature amplitude reduction of the energy storage battery is realized in a historical security cooling unit period; the temperature reduction influence proportion parameters are respectively the condensate temperature change coefficient a and the condenser pipe wall pressure change coefficient b.
Specifically, in S13, the condensate temperature change coefficient calculation strategy specifically includes:
;
wherein x is a subscript and represents an xth data acquisition point;
Condensate temperature data acquired by an x-th data acquisition point in a historical security cooling unit period;
the condensate temperature data maximum value and the condensate temperature data minimum value are respectively acquired in n data acquisition points;
and respectively storing the maximum value and the minimum value of the battery surface temperature data acquired in the battery surface data acquisition points, wherein the number of the battery surface data acquisition points is m.
Specifically, in S14, the calculation strategy of the condensation pipe wall pressure change coefficient is specifically as follows:
;
Wherein, The method comprises the steps that condensation pipe wall pressure data acquired by an xth data acquisition point in a historical security cooling unit period are obtained; the average value of the pressure data of the condenser tube wall acquired by the n data acquisition points.
Specifically, S21, uniformly setting m data acquisition points on the surfaces of the energy storage batteries, continuously monitoring the surface temperature data of each energy storage battery in the energy storage cabinet, and calculating the overall surface temperature average value of each energy storage batteryWherein i is a subscript and represents an energy storage battery with the index of i in the energy storage cabinet;
s22, extracting the surface integral temperature mean value of each energy storage battery Performing the execution judgment of the first security treatment, wherein the execution judgment of the first security treatment specifically comprises the step of averaging the surface overall temperature of each energy storage batteryComparing with the preset maximum temperature bearing value, and screening the whole surface temperature average valueAn energy storage battery greater than a preset maximum temperature tolerance value;
S23, orderly arranging the surface integral temperature average value data of the energy storage batteries in the energy storage cabinet obtained by screening in the S22, and carrying out security self-starting treatment of preferential cooling on the energy storage battery with the largest surface integral temperature average value.
Specifically, S31, working temperature data of each energy storage battery and environment temperature data of the energy storage cabinet are obtained by arranging a temperature sensor system in the energy storage cabinet, wherein the working temperature data comprise surface temperature data average values of the extraction surfaces of each energy storage batteryAnd the surface integral temperature average value of each energy storage battery;
The environmental temperature data comprise the average value of the temperature data of the outer surface of the cabinet body of the outlet of each energy storage batteryAnd air temperature data of the environment in which the energy storage cabinet is located;
S32, importing the working temperature data into a thermal balance state evaluation strategy to evaluate the heat transmission state of each energy storage battery in the working state of the energy storage cabinet, wherein the thermal balance state evaluation strategy comprises the following steps:
;
Wherein, Is a gradient parameter of the heat transmission direction;
Is the convection exchange coefficient of the heat of the surface of the object, ;
The battery electrolyte density, the battery factory specific heat capacity and the heat radiation efficiency of the battery in the working state of the energy storage battery are respectively; the depth ratios of the energy storage batteries are respectively.
Specifically, S41, extracting heat transfer direction gradient parametersConfiguring a judging threshold value of the heat transmission state of the energy storage battery, and judging the heat transmission state of each energy storage battery in the working state of the energy storage cabinet, wherein the judging threshold values are U 1 and U 2;
S42 when When the heat transmission state of the energy storage battery is judged to be the normal operation of the first security treatment, and the first security treatment strategy is continuously executed;
S43 when Or (b)And when the heat transmission state of the energy storage battery is judged to be abnormal operation of the first security treatment, misjudgment exists on the state of the security self-starting treatment, and the step S5 is continuously executed.
Specifically, in S5, the adjusting the security parameters of the second security policy according to the result of the execution judgment of the second security process includes:
s51, returning to S1, and calling a security cooling efficiency curve of each energy storage battery in the energy storage cabinet, wherein the security cooling efficiency curve specifically comprises the following steps: ;
S52, respectively extracting a condensate temperature change coefficient a and a condenser pipe wall pressure change coefficient b in the first security treatment process, and carrying out security parameter searching treatment on the coefficients according to a preset condensate temperature change maximum threshold value and a condenser pipe wall pressure change maximum threshold value;
S53, when the condensate temperature change coefficient a is marked in security parameter searching treatment, adjusting the refrigerant mixing proportion of condensate in the secondary security policy;
And S54, when the pipe wall pressure change coefficient b of the condensing pipe is marked in the security parameter searching process, adjusting the relative flow rate of the condensed liquid in the condensing pipe in the secondary security strategy.
In addition, the invention discloses an energy storage battery cabinet, which comprises the following modules:
the system comprises a historical security data analysis module, a first security processing execution module, a heat transmission state evaluation module, a second security processing execution module and a security parameter adjustment module;
the historical security data analysis module is used for acquiring historical security cooling data of the energy storage cabinet and drawing security cooling efficiency curves of all energy storage batteries in the energy storage cabinet according to the historical security cooling data;
The first security processing execution module is used for continuously monitoring the surface temperature data of each energy storage battery in the energy storage cabinet and performing the execution judgment of the first security processing;
the heat transmission state evaluation module acquires working temperature data of each energy storage battery and environment temperature data of the energy storage cabinet by arranging a temperature sensor system in the energy storage cabinet, and introduces the working temperature data into a heat balance state evaluation strategy to evaluate the heat transmission state of each energy storage battery in the working state of the energy storage cabinet;
the second security processing execution module is used for performing execution judgment of second security processing according to the heat transmission state of each energy storage battery under the working state of the energy storage cabinet obtained through evaluation;
The security parameter adjusting module is used for retrieving security cooling efficiency curves of all energy storage batteries in the energy storage cabinet and adjusting security parameters of the secondary security policy according to the result of the execution judgment of the second security treatment.
The storage medium is stored with instructions, and when the instructions are read by a computer, the computer is enabled to execute the security self-starting method of the energy storage battery cabinet.
An electronic device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the security self-starting method of the energy storage battery cabinet when executing the computer program.
Compared with the prior art, the invention has the following technical effects:
1. According to the invention, the historical security cooling data of the energy storage cabinet are obtained and analyzed, and the security cooling efficiency curve is drawn, so that the security cooling efficiency of each energy storage battery can be accurately estimated. The method is favorable for optimizing security cooling strategies, ensuring that the battery pack can be effectively cooled during operation, and improving safety and performance stability.
2. The invention continuously monitors the surface temperature data, the working temperature data and the environmental temperature data of each battery, and executes the first security processing judgment and the second security processing judgment according to the real-time data, and the real-time monitoring and response capability can rapidly identify potential security risks and take preventive measures to ensure the safe operation of the batteries and the equipment.
3. According to the method, the security parameters of the secondary security policy are adjusted according to the evaluation result, and the self-adaptive security measures are realized. This capability enables the present invention to flexibly adjust security policies to account for real-time situations, effectively coping with different workload and environmental condition changes.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a schematic flow chart of a security self-starting method of an energy storage battery cabinet;
fig. 2 is a schematic structural diagram of an energy storage battery cabinet according to the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Example 1
As shown in fig. 1, the security self-starting method of the energy storage battery cabinet in the embodiment of the invention comprises the following specific steps:
s1, acquiring historical security cooling data of an energy storage cabinet, and drawing security cooling efficiency curves of all energy storage batteries in the energy storage cabinet according to the historical security cooling data;
s11, configuring sensor systems in the condensation pipes of all the energy storage batteries in the energy storage cabinet, wherein the sensor systems are uniformly distributed on n data acquisition points on the condensation pipes respectively;
s12, collecting condensate temperature data of a condensing pipe and pipe wall pressure data of the condensing pipe in the historical security cooling treatment process through a sensor system to form a condensate temperature data set A and a condensing pipe wall pressure data set B;
S13, introducing the condensate temperature data set A into a condensate temperature change coefficient calculation strategy to calculate and obtain a condensate temperature change coefficient a;
s14, introducing the condensing tube wall pressure data set B into a condensing tube wall pressure change coefficient calculation strategy to calculate and obtain a condensing tube wall pressure change coefficient B;
S15, drawing a security cooling efficiency curve of each energy storage battery in the energy storage cabinet according to the condensate temperature change coefficient a and the condensation pipe wall pressure change coefficient b, wherein the security cooling efficiency curve The functional expression of (2) is:; the temperature amplitude reduction of the energy storage battery is realized in a historical security cooling unit period; the temperature reduction influence proportion parameters are respectively the condensate temperature change coefficient a and the condenser pipe wall pressure change coefficient b.
In S13, the algorithm of the condensate temperature change coefficient is specifically as follows:
;
wherein x is a subscript and represents an xth data acquisition point;
Condensate temperature data acquired by an x-th data acquisition point in a historical security cooling unit period;
the condensate temperature data maximum value and the condensate temperature data minimum value are respectively acquired in n data acquisition points;
and respectively storing the maximum value and the minimum value of the battery surface temperature data acquired in the battery surface data acquisition points, wherein the number of the battery surface data acquisition points is m.
In S14, the calculation strategy of the pressure change coefficient of the pipe wall of the condensation pipe is specifically as follows:
;
Wherein, The method comprises the steps that condensation pipe wall pressure data acquired by an xth data acquisition point in a historical security cooling unit period are obtained; the average value of the pressure data of the condenser tube wall acquired by the n data acquisition points.
S2, continuously monitoring surface temperature data of each energy storage battery in the energy storage cabinet, and performing execution judgment of first security treatment;
s21, uniformly setting m data acquisition points on the surfaces of the energy storage batteries, continuously monitoring the surface temperature data of each energy storage battery in the energy storage cabinet, and calculating the overall surface temperature average value of each energy storage battery Wherein i is a subscript and represents an energy storage battery with the index of i in the energy storage cabinet;
s22, extracting the surface integral temperature mean value of each energy storage battery Performing the execution judgment of the first security treatment, wherein the execution judgment of the first security treatment specifically comprises the step of averaging the surface overall temperature of each energy storage batteryComparing with the preset maximum temperature bearing value, and screening the whole surface temperature average valueAn energy storage battery greater than a preset maximum temperature tolerance value;
S23, orderly arranging the surface integral temperature average value data of the energy storage batteries in the energy storage cabinet obtained by screening in the S22, and carrying out security self-starting treatment of preferential cooling on the energy storage battery with the largest surface integral temperature average value.
S3, acquiring working temperature data of each energy storage battery and environment temperature data of the energy storage cabinet by arranging a temperature sensor system in the energy storage cabinet, and importing the working temperature data into a thermal balance state evaluation strategy to evaluate the heat transmission state of each energy storage battery in the working state of the energy storage cabinet;
S31, acquiring working temperature data of each energy storage battery and environment temperature data of the energy storage cabinet by arranging a temperature sensor system in the energy storage cabinet, wherein the working temperature data comprise surface temperature data average values of the extraction surfaces of each energy storage battery And the surface integral temperature average value of each energy storage battery;
The environmental temperature data comprise the average value of the temperature data of the outer surface of the cabinet body of the outlet of each energy storage batteryAnd air temperature data of the environment in which the energy storage cabinet is located;
S32, importing the working temperature data into a thermal balance state evaluation strategy to evaluate the heat transmission state of each energy storage battery in the working state of the energy storage cabinet, wherein the thermal balance state evaluation strategy comprises the following steps:
;
Wherein, Is a gradient parameter of the heat transmission direction;
Is the convection exchange coefficient of the heat of the surface of the object, ;
The battery electrolyte density, the battery factory specific heat capacity and the heat radiation efficiency of the battery in the working state of the energy storage battery are respectively; the depth ratios of the energy storage batteries are respectively.
S4, performing execution judgment of second security treatment according to the heat transmission state of each energy storage battery under the working state of the energy storage cabinet obtained through evaluation;
s41, extracting gradient parameters of heat transmission direction Configuring a judging threshold value of the heat transmission state of the energy storage battery, and judging the heat transmission state of each energy storage battery in the working state of the energy storage cabinet, wherein the judging threshold values are U 1 and U 2;
S42 when When the heat transmission state of the energy storage battery is judged to be the normal operation of the first security treatment, and the first security treatment strategy is continuously executed;
S43 when Or (b)And when the heat transmission state of the energy storage battery is judged to be abnormal operation of the first security treatment, misjudgment exists on the state of the security self-starting treatment, and the step S5 is continuously executed.
S5, returning to the S1, calling the security cooling efficiency curve of each energy storage battery in the energy storage cabinet, and adjusting security parameters of the secondary security policy according to the result of the execution judgment of the second security processing.
S51, returning to S1, and calling a security cooling efficiency curve of each energy storage battery in the energy storage cabinet, wherein the security cooling efficiency curve specifically comprises the following steps:;
S52, respectively extracting a condensate temperature change coefficient a and a condenser pipe wall pressure change coefficient b in the first security treatment process, and carrying out security parameter searching treatment on the coefficients according to a preset condensate temperature change maximum threshold value and a condenser pipe wall pressure change maximum threshold value;
S53, when the condensate temperature change coefficient a is marked in security parameter searching treatment, adjusting the refrigerant mixing proportion of condensate in the secondary security policy;
And S54, when the pipe wall pressure change coefficient b of the condensing pipe is marked in the security parameter searching process, adjusting the relative flow rate of the condensed liquid in the condensing pipe in the secondary security strategy.
Example two
As shown in fig. 2, an energy storage battery cabinet according to an embodiment of the present invention includes the following modules:
the system comprises a historical security data analysis module, a first security processing execution module, a heat transmission state evaluation module, a second security processing execution module and a security parameter adjustment module;
the historical security data analysis module is used for acquiring historical security cooling data of the energy storage cabinet and drawing security cooling efficiency curves of all energy storage batteries in the energy storage cabinet according to the historical security cooling data;
The first security processing execution module is used for continuously monitoring the surface temperature data of each energy storage battery in the energy storage cabinet and performing the execution judgment of the first security processing;
the heat transmission state evaluation module acquires working temperature data of each energy storage battery and environment temperature data of the energy storage cabinet by arranging a temperature sensor system in the energy storage cabinet, and introduces the working temperature data into a heat balance state evaluation strategy to evaluate the heat transmission state of each energy storage battery in the working state of the energy storage cabinet;
the second security processing execution module is used for performing execution judgment of second security processing according to the heat transmission state of each energy storage battery under the working state of the energy storage cabinet obtained through evaluation;
The security parameter adjusting module is used for retrieving security cooling efficiency curves of all energy storage batteries in the energy storage cabinet and adjusting security parameters of the secondary security policy according to the result of the execution judgment of the second security treatment.
Example III
The embodiment provides electronic equipment, which comprises a processor and a memory, wherein the memory stores a computer program which can be called by the processor;
the processor executes the security self-starting method of the energy storage battery cabinet by calling the computer program stored in the memory.
The electronic device can generate larger difference due to different configurations or performances, and can comprise one or more processors (Central Processing Units, CPU) and one or more memories, wherein at least one computer program is stored in the memories, and the computer program is loaded and executed by the processors to realize the security self-starting method of the energy storage battery cabinet provided by the embodiment of the method. The electronic device can also include other components for implementing the functions of the device, for example, the electronic device can also have wired or wireless network interfaces, input-output interfaces, and the like, for inputting and outputting data. The present embodiment is not described herein.
Example IV
The present embodiment proposes a computer-readable storage medium having stored thereon an erasable computer program;
When the computer program runs on the computer equipment, the computer equipment is caused to execute the security self-starting method of the energy storage battery cabinet.
For example, the computer readable storage medium can be Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), compact disk Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM), magnetic tape, floppy disk, optical data storage device, and the like.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It should be understood that determining B from a does not mean determining B from a alone, but can also determine B from a and/or other information.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by way of wired or/and wireless networks from one website site, computer, server, or data center to another. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the partitioning of units is merely one, and there may be additional partitioning in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In summary, compared with the prior art, the technical effects of the invention are as follows:
1. According to the invention, the historical security cooling data of the energy storage cabinet are obtained and analyzed, and the security cooling efficiency curve is drawn, so that the security cooling efficiency of each energy storage battery can be accurately estimated. The method is favorable for optimizing security cooling strategies, ensuring that the battery pack can be effectively cooled during operation, and improving safety and performance stability.
2. The invention continuously monitors the surface temperature data, the working temperature data and the environmental temperature data of each battery, and executes the first security processing judgment and the second security processing judgment according to the real-time data, and the real-time monitoring and response capability can rapidly identify potential security risks and take preventive measures to ensure the safe operation of the batteries and the equipment.
3. According to the method, the security parameters of the secondary security policy are adjusted according to the evaluation result, and the self-adaptive security measures are realized. This capability enables the present invention to flexibly adjust security policies to account for real-time situations, effectively coping with different workload and environmental condition changes.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. The security self-starting method of the energy storage battery cabinet is characterized by comprising the following specific steps of:
s1, acquiring historical security cooling data of an energy storage cabinet, and drawing security cooling efficiency curves of all energy storage batteries in the energy storage cabinet according to the historical security cooling data;
S2, continuously monitoring surface temperature data of each energy storage battery in the energy storage cabinet, and performing execution judgment of first security treatment;
S3, acquiring working temperature data of each energy storage battery and environment temperature data of the energy storage cabinet by arranging a temperature sensor system in the energy storage cabinet, and importing the working temperature data into a thermal balance state evaluation strategy to evaluate the heat transmission state of each energy storage battery in the working state of the energy storage cabinet;
S4, performing execution judgment of second security treatment according to the heat transmission state of each energy storage battery under the working state of the energy storage cabinet obtained through evaluation;
s3 comprises the following specific steps:
S31, acquiring working temperature data of each energy storage battery and environment temperature data of the energy storage cabinet by arranging a temperature sensor system in the energy storage cabinet, wherein the working temperature data comprise surface temperature data average values of the extraction surfaces of each energy storage battery And the surface integral temperature average value of each energy storage battery;
The environmental temperature data comprise the average value of the temperature data of the outer surface of the cabinet body of the outlet of each energy storage batteryAnd air temperature data of the environment in which the energy storage cabinet is located;
S32, importing the working temperature data into a thermal balance state evaluation strategy to evaluate the heat transmission state of each energy storage battery in the working state of the energy storage cabinet, wherein the thermal balance state evaluation strategy comprises the following steps:
;
Wherein, Is a gradient parameter of the heat transmission direction;
Is the convection exchange coefficient of the heat of the surface of the object, ;
The battery electrolyte density, the battery factory specific heat capacity and the heat radiation efficiency of the battery in the working state of the energy storage battery are respectively; the depth ratios of the energy storage batteries are respectively;
S4 comprises the following specific steps:
s41, extracting gradient parameters of heat transmission direction Configuring a judging threshold value of the heat transmission state of the energy storage battery, and judging the heat transmission state of each energy storage battery in the working state of the energy storage cabinet, wherein the judging threshold values are U 1 and U 2;
S42 when When the heat transmission state of the energy storage battery is judged to be the normal operation of the first security treatment, and the first security treatment strategy is continuously executed;
S43 when Or (b)When the heat transmission state of the energy storage battery is judged to be abnormal operation of the first security treatment, the state misjudgment of the security self-starting treatment exists, and the step S5 is continuously executed;
s5, returning to the S1, calling the security cooling efficiency curve of each energy storage battery in the energy storage cabinet, and adjusting security parameters of the secondary security policy according to the result of the execution judgment of the second security processing.
2. The security self-starting method of an energy storage battery cabinet according to claim 1, wherein the step S1 comprises the following specific steps:
s11, configuring sensor systems in the condensation pipes of all the energy storage batteries in the energy storage cabinet, wherein the sensor systems are uniformly distributed on n data acquisition points on the condensation pipes respectively;
s12, collecting condensate temperature data of a condensing pipe and pipe wall pressure data of the condensing pipe in the historical security cooling treatment process through a sensor system to form a condensate temperature data set A and a condensing pipe wall pressure data set B;
S13, introducing the condensate temperature data set A into a condensate temperature change coefficient calculation strategy to calculate and obtain a condensate temperature change coefficient a;
s14, introducing the condensing tube wall pressure data set B into a condensing tube wall pressure change coefficient calculation strategy to calculate and obtain a condensing tube wall pressure change coefficient B;
S15, drawing a security cooling efficiency curve of each energy storage battery in the energy storage cabinet according to the condensate temperature change coefficient a and the condensation pipe wall pressure change coefficient b, wherein the security cooling efficiency curve The functional expression of (2) is:; the temperature amplitude reduction of the energy storage battery is realized in a historical security cooling unit period; the temperature reduction influence proportion parameters are respectively the condensate temperature change coefficient a and the condenser pipe wall pressure change coefficient b.
3. The security self-starting method of an energy storage battery cabinet according to claim 2, wherein in S13, the condensate temperature change coefficient calculation strategy is specifically as follows:
;
wherein x is a subscript and represents an xth data acquisition point;
Condensate temperature data acquired by an x-th data acquisition point in a historical security cooling unit period;
the condensate temperature data maximum value and the condensate temperature data minimum value are respectively acquired in n data acquisition points;
and respectively storing the maximum value and the minimum value of the battery surface temperature data acquired in the battery surface data acquisition points, wherein the number of the battery surface data acquisition points is m.
4. The security self-starting method of an energy storage battery cabinet according to claim 3, wherein in S14, the calculation strategy of the condensation pipe wall pressure change coefficient is specifically as follows:
;
Wherein, The method comprises the steps that condensation pipe wall pressure data acquired by an xth data acquisition point in a historical security cooling unit period are obtained; Is the average value of the pressure data of the condenser tube wall acquired by n data acquisition points.
5. The security self-starting method of an energy storage battery cabinet according to claim 4, wherein the step S2 comprises the following specific steps:
s21, uniformly setting m data acquisition points on the surfaces of the energy storage batteries, continuously monitoring the surface temperature data of each energy storage battery in the energy storage cabinet, and calculating the overall surface temperature average value of each energy storage battery Wherein i is a subscript and represents an energy storage battery with the index of i in the energy storage cabinet;
s22, extracting the surface integral temperature mean value of each energy storage battery Performing the execution judgment of the first security treatment, wherein the execution judgment of the first security treatment specifically comprises the step of averaging the surface overall temperature of each energy storage batteryComparing with the preset maximum temperature bearing value, and screening the whole surface temperature average valueAn energy storage battery greater than a preset maximum temperature tolerance value;
S23, orderly arranging the surface integral temperature average value data of the energy storage batteries in the energy storage cabinet obtained by screening in the S22, and carrying out security self-starting treatment of preferential cooling on the energy storage battery with the largest surface integral temperature average value.
6. The method for self-starting security protection of an energy storage battery cabinet according to claim 5, wherein in S5, the adjusting security protection parameters of a secondary security protection policy according to a result of the performing judgment of the second security protection process includes:
s51, returning to S1, and calling a security cooling efficiency curve of each energy storage battery in the energy storage cabinet, wherein the security cooling efficiency curve specifically comprises the following steps: ;
S52, respectively extracting a condensate temperature change coefficient a and a condenser pipe wall pressure change coefficient b in the first security treatment process, and carrying out security parameter searching treatment on the coefficients according to a preset condensate temperature change maximum threshold value and a condenser pipe wall pressure change maximum threshold value;
S53, when the condensate temperature change coefficient a is marked in security parameter searching treatment, adjusting the refrigerant mixing proportion of condensate in the secondary security policy;
And S54, when the pipe wall pressure change coefficient b of the condensing pipe is marked in the security parameter searching process, adjusting the relative flow rate of the condensed liquid in the condensing pipe in the secondary security strategy.
7. An energy storage battery cabinet for implementing a security self-starting method of the energy storage battery cabinet according to any one of claims 1 to 6, wherein the energy storage battery cabinet comprises:
the system comprises a historical security data analysis module, a first security processing execution module, a heat transmission state evaluation module, a second security processing execution module and a security parameter adjustment module;
the historical security data analysis module is used for acquiring historical security cooling data of the energy storage cabinet and drawing security cooling efficiency curves of all energy storage batteries in the energy storage cabinet according to the historical security cooling data;
The first security processing execution module is used for continuously monitoring the surface temperature data of each energy storage battery in the energy storage cabinet and performing the execution judgment of the first security processing;
the heat transmission state evaluation module acquires working temperature data of each energy storage battery and environment temperature data of the energy storage cabinet by arranging a temperature sensor system in the energy storage cabinet, and introduces the working temperature data into a heat balance state evaluation strategy to evaluate the heat transmission state of each energy storage battery in the working state of the energy storage cabinet;
the second security processing execution module is used for performing execution judgment of second security processing according to the heat transmission state of each energy storage battery under the working state of the energy storage cabinet obtained through evaluation;
The security parameter adjusting module is used for retrieving security cooling efficiency curves of all energy storage batteries in the energy storage cabinet and adjusting security parameters of the secondary security policy according to the result of the execution judgment of the second security treatment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411368744.9A CN118888881B (en) | 2024-09-29 | 2024-09-29 | Energy storage battery cabinet and security self-starting method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202411368744.9A CN118888881B (en) | 2024-09-29 | 2024-09-29 | Energy storage battery cabinet and security self-starting method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118888881A CN118888881A (en) | 2024-11-01 |
| CN118888881B true CN118888881B (en) | 2025-02-07 |
Family
ID=93226635
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202411368744.9A Active CN118888881B (en) | 2024-09-29 | 2024-09-29 | Energy storage battery cabinet and security self-starting method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118888881B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114665172A (en) * | 2022-04-20 | 2022-06-24 | 阳光电源股份有限公司 | Energy storage battery cabinet and security protection self-starting method thereof |
| CN117411147A (en) * | 2023-12-04 | 2024-01-16 | 广州奥鹏能源科技有限公司 | Safety control method, device, equipment and medium for outdoor energy storage power supply |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3136926B2 (en) * | 1994-11-08 | 2001-02-19 | 松下電器産業株式会社 | Storage battery status management system |
| US11031643B2 (en) * | 2018-07-02 | 2021-06-08 | Faraday&Future Inc. | Systems, methods, and apparatus for optimizing battery module coolant fluid flow |
| CN111584952B (en) * | 2020-04-17 | 2022-04-08 | 许继集团有限公司 | Method and system for online evaluation of electrochemical cells of energy storage power station |
| CN114267889B (en) * | 2021-12-28 | 2022-11-08 | 深圳库博能源科技有限公司 | Energy storage system heat management device, control method thereof and energy storage system |
| CN116802960A (en) * | 2022-10-09 | 2023-09-22 | 深圳安培时代数字能源科技有限公司 | State adjusting method and related device of energy storage battery |
| CN118472444B (en) * | 2024-06-06 | 2024-12-06 | 安徽艾克瑞德科技有限公司 | Safety monitoring method of lithium ion battery pack |
| CN118380694B (en) * | 2024-06-21 | 2024-10-18 | 湖南西来客储能装置管理系统有限公司 | Energy storage cabinet cooling system and cooling method |
-
2024
- 2024-09-29 CN CN202411368744.9A patent/CN118888881B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114665172A (en) * | 2022-04-20 | 2022-06-24 | 阳光电源股份有限公司 | Energy storage battery cabinet and security protection self-starting method thereof |
| CN117411147A (en) * | 2023-12-04 | 2024-01-16 | 广州奥鹏能源科技有限公司 | Safety control method, device, equipment and medium for outdoor energy storage power supply |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118888881A (en) | 2024-11-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20230020354A1 (en) | Thermal management method, device, system, and computer-readable storage medium | |
| CN118134266B (en) | A method and system for detecting anomaly in power grid power data based on big data | |
| US11929477B2 (en) | Optimization of thermal management control of lithium-ion battery system | |
| CN111914000B (en) | Server power capping method and system based on power consumption prediction model | |
| CN206771651U (en) | Air-conditioner controller and air-conditioner control system | |
| CN118888881B (en) | Energy storage battery cabinet and security self-starting method thereof | |
| CN115017006B (en) | Auxiliary energy-saving control method and system for data center | |
| CN119341901A (en) | Communication equipment monitoring method, device and medium | |
| CN111142647A (en) | Energy saving method and system for IT system | |
| CN118763711B (en) | Power control method, system and medium for virtual power plant energy storage parallel operation system | |
| CN118409936B (en) | A computer fault alarm system | |
| CN118263581B (en) | Energy storage liquid cooling temperature control optimization system and method based on fluid dynamics | |
| CN119356503A (en) | AI tuning of liquid cooling system and optimal PUE implementation method based on multi-parameter fusion | |
| CN117914007B (en) | A grid-type energy storage system operation monitoring system and monitoring method thereof | |
| CN119133719A (en) | A method, system, device and medium for controlling battery cell temperature of energy storage system | |
| CN109489190A (en) | Method and system for regulating and controlling cold quantity of machine room | |
| CN114492947A (en) | Aging prediction method, equipment and electronic medium for household electrical circuit based on current fingerprint technology | |
| CN115764027A (en) | A battery compartment cooling device for an electrochemical energy storage station | |
| LU509393B1 (en) | Control method, device, and equipment for an air-cooling system | |
| CN118502310A (en) | Machine room integrated monitoring management method and system | |
| CN114325141B (en) | Method, device, and readable storage medium for monitoring power abnormality of base station | |
| CN114739453B (en) | Overhauling method for cooling system of soft direct-current converter valve | |
| CN115994714B (en) | A method for evaluating the efficiency of lithium batteries in IDC computer rooms based on big data statistics | |
| CN118037061B (en) | Risk early warning method and device, electronic equipment and storage medium | |
| CN119419924B (en) | Wind power system control method, device, energy storage combined system and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |