CN113805063A - Battery energy storage system fire load calculation method, system, equipment and medium - Google Patents
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- 238000004146 energy storage Methods 0.000 title claims abstract description 221
- 238000004364 calculation method Methods 0.000 title claims abstract description 83
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 claims abstract description 58
- 229910001416 lithium ion Inorganic materials 0.000 claims abstract description 58
- 230000017525 heat dissipation Effects 0.000 claims abstract description 48
- 238000000034 method Methods 0.000 claims abstract description 44
- 230000008569 process Effects 0.000 claims abstract description 20
- 238000002485 combustion reaction Methods 0.000 claims description 31
- 239000000463 material Substances 0.000 claims description 18
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 16
- 238000003860 storage Methods 0.000 claims description 9
- 238000010438 heat treatment Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 9
- 239000000126 substance Substances 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 238000001816 cooling Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000007619 statistical method Methods 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000012983 electrochemical energy storage Methods 0.000 description 2
- 238000003487 electrochemical reaction Methods 0.000 description 2
- 239000003595 mist Substances 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 229920000915 polyvinyl chloride Polymers 0.000 description 2
- 239000004800 polyvinyl chloride Substances 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
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- 239000007788 liquid Substances 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
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- 238000006386 neutralization reaction Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
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- 238000011160 research Methods 0.000 description 1
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- 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]
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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Abstract
The method, the system, the equipment and the medium for calculating the fire load of the battery energy storage system comprise the following steps: the method comprises the steps of obtaining the type of a lithium ion battery of a battery energy storage system, the number of batteries of a battery module, the quality of an electric wire, the quality of a control system and the quality of a heat dissipation system; according to the type of the lithium ion battery, inputting the number of batteries of a battery module of the battery energy storage system, the quality of electric wires, the quality of a control system and the quality of a heat dissipation system into a battery energy storage system fire load calculation model corresponding to the type of the lithium ion battery for solving to obtain the fire load of the battery energy storage system; and outputting the fire load of the battery energy storage system. The method can accurately calculate the fire load of the energy storage system according to the total installed capacity of the system, the capacity of a single battery, the number of the module batteries and the types of the batteries, has simple calculation process and accurate and representative result, and can provide reasonable and reliable fire-fighting measures for extinguishing the thermal runaway fire of the energy storage power station.
Description
Technical Field
The invention belongs to the technical field of fire assessment of energy storage systems, and relates to a method, a system, equipment and a medium for calculating fire load of a battery energy storage system.
Background
In recent years, with the continuous implementation of carbon neutralization and carbon peaking strategies in China, the energy modification and upgrading pace is accelerated, and the construction and planning of a modern smart power grid system taking an energy storage technology and a system as the core are paid more and more attention. The energy storage technology is applied to various links of power generation, power transmission, power distribution and power utilization of a power system on a large scale, is an indispensable key core technology for realizing a smart grid, and is a powerful force for promoting the energy revolution of China.
The electrochemical energy storage technology, especially the lithium ion battery energy storage, has become the energy storage technology with the fastest increase of installed capacity in the field of power energy storage due to the advantages of flexibility and rapidness, and according to CNESA statistics, the lithium ion battery energy storage capacity reaches 8454MW by 2019. Moreover, with the continuous improvement of the permeability of the electric automobile, the scale effect of the lithium ion battery gradually appears, and with the rapid reduction of the cost of the lithium battery, the importance of the lithium ion battery on renewable electric energy consumption and traffic electrification industrial chains is increasingly prominent, the electrochemical energy storage market is continuously expanded, and the commercial development prospect is wide.
However, with the development of energy storage technology of lithium ion batteries, the safety problem of lithium ion batteries is increasingly prominent. In the past year, the number of energy storage fire safety accidents of lithium ion batteries worldwide exceeds 30, and serious property loss and casualties are caused. While a large number of lithium ion batteries are commercially applied, the fire safety problem of the lithium ion batteries becomes a bottleneck restricting the large-scale application of the power storage of the lithium ion batteries.
In addition, a large number of electrical devices are also arranged in the lithium ion battery energy storage system, and in the use process of the energy storage power station, electrical fire can be caused by loss of electrical elements, overload operation of an electrical circuit, short circuit of the electrical devices and the like, so that thermal runaway and spread of the thermal runaway of the lithium ion battery are induced, a large-scale fire is caused, and the whole energy storage system is burnt.
At present, the research on the fire load of a market and a residential area is mature, the quality and the heat value of combustible materials in a building are subjected to statistical analysis, the fire load of houses and shops with different functions is obtained, and the fire load of the whole market or residential area is evaluated according to a statistical analysis means.
Fire load of different functional areas under more samples needs to be comprehensively considered in the fire load calculation method of the mall and the residential area. However, in the lithium ion battery energy storage power station, different areas have close functions, single substances and close fire loads in different areas, so that a large amount of samples are not required to be collected, and the boltzmann distribution of the fire loads in different functional areas in a mall does not exist.
In the process of fire of the energy storage power station, the combustion of combustible substances in the power station releases heat, the electrochemical reaction in the thermal runaway process of the lithium ion battery releases heat, and the combustion of products generated after the electrochemical reaction releases heat, so that the analysis of the fire load of the energy storage power station is more complex. Not by simple statistical analysis alone.
At present, the fire extinguishing system of an energy storage power station is mostly a water mist fire extinguishing system, and when a fire disaster occurs, the fire extinguishing operation of the fire disaster is carried out by utilizing the water mist. However, there is no standard for standardizing the amount of fire suppressant to prevent water from not being extinguished due to an excessively small amount of fire suppressant or to prevent the entire energy storage system from being collapsed due to an excessively large amount of fire suppressant.
In the design process of the energy storage power station, the energy storage system fire-fighting fire extinguishing system is not accurately designed according to the energy storage load capacity of the energy storage power station. Therefore, after the lithium ion battery energy storage power station is out of control due to heat, a fire extinguishing measure matched with fire load cannot be provided, and the fire extinguishing is extremely difficult. Therefore, a calculation method specially for the thermal runaway fire load of the energy storage power station is urgently needed, the fire load of the energy storage system is calculated and evaluated, and reasonable and reliable fire protection measures are provided for extinguishing the thermal runaway fire of the energy storage power station.
Disclosure of Invention
The invention aims to provide a method, a system, equipment and a medium for calculating the fire load of a battery energy storage system.
In order to achieve the purpose, the invention adopts the technical scheme that:
a fire load calculation method for a battery energy storage system comprises the following steps:
the method comprises the steps of obtaining the type of a lithium ion battery of a battery energy storage system, the number of batteries of a battery module, the quality of an electric wire, the quality of a control system and the quality of a heat dissipation system;
according to the type of the lithium ion battery, inputting the number of batteries of a battery module of the battery energy storage system, the quality of electric wires, the quality of a control system and the quality of a heat dissipation system into a battery energy storage system fire load calculation model corresponding to the type of the lithium ion battery for solving to obtain the fire load of the battery energy storage system;
and outputting the fire load of the battery energy storage system.
Furthermore, the battery energy storage system fire load calculation model comprises a battery module fire load calculation model, an electric wire fire load calculation model, a heat dissipation system fire load calculation model and a control system fire load calculation model.
Further, the battery module fire load calculation model is obtained through the following processes:
s1, heating the single lithium ion battery to cause thermal runaway of the battery, and measuring the heat released by the thermal runaway of the lithium iron phosphate battery and the ternary battery; the lithium ion battery is a lithium iron phosphate battery or a ternary battery;
s2, repeating the step S1 on the battery modules formed by the plurality of lithium iron phosphate batteries and the ternary batteries to obtain the released heat of the battery modules formed by different battery numbers;
s3, according to the number of the battery modules of the energy storage module, obtaining the release heat of the energy storage module formed by the battery modules during thermal runaway combustion, further obtaining the release heat of the battery thermal runaway combustion of the battery energy storage system formed by the energy storage module, and according to the relationship between the number of the battery modules of the energy storage module and the release heat of the battery thermal runaway combustion of the battery energy storage system, obtaining a fire load calculation model of the battery module, wherein the fire load calculation model of the battery module is as follows:
Q＝M*Cp*(T-T0)*C
q is released heat of battery thermal runaway combustion of the battery energy storage system; cpThe specific heat capacity of the battery; t is the highest temperature of thermal runaway of the battery; t is0Is the initial temperature; c is the energy storage capacity of the battery energy storage system; m is the number of battery modules.
Further, heating a single lithium iron phosphate battery or a ternary battery to cause thermal runaway of the battery, and measuring the released heat of the lithium iron phosphate battery and the ternary battery in the step of measuring the thermal runaway of the lithium iron phosphate battery and the ternary battery, wherein the released heat is measured by a cone calorimeter.
Further, the electric wire fire load calculation model is obtained through the following processes:
s11, collecting the mass of combustible materials in the wires of the lithium ion battery energy storage systems with different capacities;
s12, multiplying the mass of the combustible in the electric wire by the unit mass of the combustible to burn and release heat to obtain the release heat of the combustible in the electric wire;
obtaining a wire fire load calculation model according to the relation between the energy storage capacity of the battery energy storage system and the release heat of combustible materials in the wire; the electric wire fire load calculation model is as follows:
Q1,1＝(1+2+3…+n)*25*1000
wherein Q is1,1C is the energy storage capacity of the battery energy storage system, and n is the maximum integer not exceeding C/1920.
Further, the heat dissipation system fire load calculation model is obtained through the following processes:
s11, collecting the mass of combustible materials in the heat dissipation system in the lithium ion battery energy storage systems with different capacities;
s12, multiplying the mass of the combustible in the heat dissipation system by the unit mass of the combustible to burn and release heat to obtain the release heat of the combustible in the heat dissipation system;
obtaining a fire load calculation model of the heat dissipation system according to the relation between the energy storage capacity of the battery energy storage system and the heat released by combustible materials in the heat dissipation system in the battery energy storage system; the heat dissipation system fire load calculation model is as follows:
Q1,2＝a*C/b*150*c
wherein Q is1,2Releasing heat for combustible matters in a heat dissipation system in the battery energy storage system; c is the energy storage capacity of the battery energy storage system, a is the number of fans of a single module, b is the capacity of the module, and C is the combustion heat of the fan blades.
Further, the control system fire load calculation model is obtained through the following processes:
s11, collecting the combustible mass in the control system in the lithium ion battery energy storage systems with different capacities;
s12, multiplying the mass of the combustible in the control system by the unit mass of the combustible to obtain the heat released by the combustible in the control system;
obtaining a control system fire load calculation model according to the relation between the energy storage capacity of the fitted battery energy storage system and the release heat of combustible materials in a control system in the battery energy storage system, wherein the control system fire load calculation model is as follows:
wherein Q is1,3In systems for storing energy for batteriesControlling the release of heat from combustibles in the system; c is the energy storage capacity of the battery energy storage system, m is the number of energy storage modules in the energy storage system, n is the capacity of the energy storage modules, l is the combustion heat of the controller in the control system,
is not more than
Is the largest integer of (a).
A battery energy storage system fire load calculation system comprising:
the acquisition module is used for acquiring the type of the lithium ion battery of the battery energy storage system, the number of batteries of the battery module, the quality of an electric wire, the quality of a control system and the quality of a heat dissipation system;
the solving module is used for inputting the battery number, the electric wire quality, the control system quality and the heat dissipation system quality of a battery module of the battery energy storage system into an energy storage system fire load calculation model corresponding to the lithium ion battery type for solving according to the lithium ion battery type to obtain the fire load of the battery energy storage system;
and the output module is used for outputting the fire load of the battery energy storage system.
A computer device comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, the computer program when executed by the processor implementing a battery energy storage system fire load calculation method as described above.
A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform a battery energy storage system fire load calculation method as described above.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, the fire load of the energy storage system is obtained through the calculation model of the fire load of the energy storage system, the problem of difficulty in calculating the fire load of the energy storage system is effectively solved, and the blank of calculating the fire load of the energy storage system is filled. Because the quantity of batteries of the battery modules of the energy storage system, the quality of electric wires of the energy storage system, the quality of the control system and the quality of the heat dissipation system are used as parameters and input into the energy storage power station fire load calculation model, the energy storage power station fire load calculation model covers the characteristics of the existing lithium ion battery energy storage system, contains all fire load influence factors, and can calculate the fire load of the energy storage systems with different installed capacities and different lithium ion installed types. The method can accurately calculate the fire load of the energy storage system according to the total installed capacity of the energy storage system, the capacity of a single battery, the number of the module batteries and the types of the batteries, has simple calculation process and accurate and representative result, and can provide reasonable and reliable fire-fighting measures for extinguishing the thermal runaway fire of the energy storage power station.
Drawings
Fig. 1 is a flowchart of a method for calculating a fire load of a battery energy storage system according to the present invention.
Fig. 2 is a schematic structural diagram of a fire load calculation model of the battery energy storage system.
FIG. 3 is a graph of thermal runaway exotherm versus energy storage capacity.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings.
The terms referred to in this invention include fire load and fire load density.
The fire load means: relating to the total calorific value generated by the combustion of all combustible substances in the fire space.
The fire load density means: the unit area relates to the average heat value of combustion of the combustible in the fire space.
In order to meet the needs of the prior art, the invention comprehensively considers the lithium ion battery monomer, the module and the thermal runaway fire load of the energy storage system, and aims to provide a calculation method for accurately calculating the fire load of the energy storage system of the lithium ion battery, obtain a relation model between the fire load of the energy storage system and the energy storage capacity of the system, pre-evaluate the fire load of the energy storage system, provide guidance for the identification of the energy level and the hazard category of the thermal runaway release of the energy storage system of the lithium ion battery, and further provide a standard for the design and operation of the lithium ion energy storage fire extinguishing system.
The lithium ion battery is a lithium iron phosphate battery or a ternary battery;
the capacity of the single battery module is 1-5 batteries;
the heat dissipation system is in an air cooling or liquid cooling mode.
The control system is an existing control system and comprises a computer, a display screen and electronic elements.
Referring to fig. 1, the method for calculating the fire load of the battery energy storage system of the invention comprises the following steps:
the method comprises the steps of obtaining the type of a lithium ion battery of a battery energy storage system, the number of batteries of a battery module, the quality of an electric wire, the quality of a control system and the quality of a heat dissipation system;
according to the type of the lithium ion battery, inputting the number of batteries of a battery module of the battery energy storage system, the quality of electric wires, the quality of a control system and the quality of a heat dissipation system into a battery energy storage system fire load calculation model corresponding to the type of the lithium ion battery for solving to obtain the fire load of the battery energy storage system;
and outputting the fire load of the battery energy storage system.
Referring to fig. 2, the battery energy storage system fire load calculation model includes a battery module fire load calculation model, an electric wire fire load calculation model, a heat dissipation system fire load calculation model, and a control system fire load calculation model.
Establishing a battery module fire load calculation model:
s1, heating a single lithium iron phosphate battery or a ternary battery with different capacities by using a heating method to cause thermal runaway of the battery, igniting smoke by using an igniter when a safety valve is opened, and measuring the released heat of the thermal runaway of the lithium iron phosphate battery or the ternary battery by using a cone calorimeter;
s2, carrying out calorimetric measurement on the battery modules formed by the 2, 3, 4 and 5 lithium iron phosphate batteries or the ternary batteries according to the method in the step S1, and obtaining released heat of the battery modules formed by different battery numbers;
s3, according to the single batteryThe capacity and the number of the battery modules of the energy storage module are used for obtaining the released heat of the energy storage module during thermal runaway combustion and further obtaining the released heat Q of the thermal runaway combustion of the battery of a battery energy storage system consisting of the energy storage module2And according to the relation between the number of the battery modules of the energy storage module and the heat release of the battery thermal runaway combustion of the battery energy storage system, obtaining a battery module fire load calculation model of the battery energy storage system. The battery module fire load calculation model of the battery energy storage system is as follows:
Q＝M*Cp*(T-T0)*C
wherein Q represents the thermal runaway combustion heat release of the battery; cpLithium iron phosphate battery C as specific heat capacity of batteryp40.6J/(Kg ℃. Ah); t represents the maximum temperature of the thermal runaway of the battery; t is0Is the initial temperature; c is the energy storage capacity of the battery energy storage system, and the unit Ah; m is the number of battery modules.
According to the existing battery thermal runaway data, the relationship between the battery thermal runaway heat release and the energy storage capacity is obtained through fitting, as shown in fig. 3.
Wherein, generally 30 multiunit battery modules constitute energy storage module, and the quantity of specific battery module is confirmed according to actual conditions.
Establishing a wire fire load calculation model, a heat dissipation system fire load calculation model and a control system fire load calculation model:
s11, collecting the quality of combustible materials in the electric wires, the heat dissipation system and the control system of the lithium ion battery energy storage systems with different capacities according to the composition and the material of the electric wires, the heat dissipation system and the control system of the lithium ion battery energy storage systems with different capacities except for the batteries;
s12, respectively inquiring the collected heat values of the electric wire, the heat dissipation system and the combustible in the control system to obtain the unit mass combustion released heat of the combustible in the electric wire, the unit mass combustion released heat of the combustible in the heat dissipation system and the unit mass combustion released heat of the combustible in the control system.
Multiplying the mass of the combustible in the electric wire by the unit mass of the combustible to obtain the heat Q released by the combustible in the electric wire1,1；
The mass of the combustible in the heat dissipation system is multiplied by the unit mass combustion release heat of the combustible to obtain the release heat Q of the combustible in the heat dissipation system1,2；
The mass of the combustible in the control system is multiplied by the unit mass combustion release heat of the combustible to obtain the release heat Q of the combustible in the control system1,3；
According to the energy storage capacity (C) of the battery energy storage system and the release heat Q of combustible substances in the electric wire in the energy storage system1,iObtaining a wire fire load calculation model according to the relationship between the two electric wires;
the combustible material in the wire is the polyvinyl chloride insulating rubber of the surface skin, and the combustion heat is 25 kJ/g. The quality of the polyvinyl chloride in the wire is related to the energy storage capacity. In an energy storage system with 1920Ah as an energy storage module, an electric wire fire load calculation model is as follows:
Q1,1＝(1+2+3…+n)*25*1000，n＝[C/1920]
wherein Q is1,1For releasing heat of combustibles in the electric wires of the energy storage system, C is the energy storage capacity, [ C/1920 ]]Is the largest integer not exceeding C/1920.
According to the energy storage capacity (C) of the battery energy storage system and the release heat Q of combustible substances in a heat dissipation system in the battery energy storage system1,2Obtaining a heat dissipation system fire load calculation model according to the relationship between the two;
in the heat dissipation system, combustion substances are mainly cooling fan blades. The heat dissipation system fire load calculation model is as follows:
Q1,2＝a*C/b*150*c
wherein Q is1,2The unit kJ is the heat released by combustible materials in a heat dissipation system in a battery energy storage system; c is the energy storage capacity of the battery energy storage system, a is the number of fans of a single module, b is the capacity of the module, and C is the combustion heat of the fan blades.
Specifically, in an energy storage system composed of 1920Ah energy storage modules, the number of fans in each module is 6, the combustion heat of fan blades is 30.52kJ/g, and then a fire load calculation model of the heat dissipation system is as follows:
Q1,2＝6*C/1920*150*30.52
according to the energy storage capacity (C) of the battery energy storage system and the release heat Q of combustible substances in a control system in the battery energy storage system1,3Obtaining a fire load calculation model of the control system according to the relation between the fire load and the fire load; the fire load calculation model of the control system is as follows:
wherein Q is1,3Releasing heat for combustible materials in a control system in a battery energy storage system; c is the energy storage capacity of the battery energy storage system, m is the number of energy storage modules in the energy storage system, n is the capacity of the energy storage modules, l is the combustion heat of the controller in the control system,
is not more than
Is the largest integer of (a).
Specifically, the control system mainly comprises a safety and charging and discharging controller, the controller is electronic, the combustion heat is 492 MJ/machine, and in the energy storage system, one controller can control at least 6 energy storage modules of 1920 Ah. Therefore, the fire load calculation model of the control system is as follows:
wherein Q is1,3The unit kJ is the heat released by combustible materials in a control system in a battery energy storage system; c is the energy storage capacity in Ah.
Is not more than
Is the largest integer of (a).
Electric wire, cooling system and control system in battery energy storage systemTotal heat released Q1 ═ Q1,1+Q1,2+Q1,3；
The fire load of the battery energy storage system is Q1+Q2。
According to the load of the lithium ion battery of the energy storage power station in unit area, the fire load density of the energy storage power station can be obtained.
The invention provides a fire load calculation model of a lithium ion battery energy storage system for the first time, and can accurately calculate the fire loads of the lithium ion battery energy storage systems of different types.
The invention provides a fire load calculation system of a battery energy storage system, which comprises:
the acquisition module is used for acquiring the type of the lithium ion battery of the battery energy storage system, the number of batteries of the battery module, the quality of an electric wire, the quality of a control system and the quality of a heat dissipation system;
the solving module is used for inputting the battery number, the electric wire quality, the control system quality and the heat dissipation system quality of a battery module of the battery energy storage system into a battery energy storage system fire load calculation model corresponding to the lithium ion battery type according to the lithium ion battery type to solve so as to obtain the fire load of the battery energy storage system;
and the output module is used for outputting the fire load of the battery energy storage system.
The invention provides a computer device comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, the computer program when executed by the processor implementing the battery energy storage system fire load calculation described above.
The present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to perform a battery energy storage system fire load calculation as described above.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
As used in this disclosure, "module," "device," "system," and the like are intended to refer to a computer-related entity, either hardware, a combination of hardware and software, or software in execution. In particular, for example, an element may be, but is not limited to being, a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. Also, an application or script running on a server, or a server, may be an element. One or more elements may be in a process and/or thread of execution and an element may be localized on one computer and/or distributed between two or more computers and may be operated by various computer-readable media. The elements may also communicate by way of local and/or remote processes based on a signal having one or more data packets, e.g., from a data packet interacting with another element in a local system, distributed system, and/or across a network in the internet with other systems by way of the signal.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A fire load calculation method of a battery energy storage system is characterized by comprising the following steps:
the method comprises the steps of obtaining the type of a lithium ion battery of a battery energy storage system, the number of batteries of a battery module, the quality of an electric wire, the quality of a control system and the quality of a heat dissipation system;
according to the type of the lithium ion battery, inputting the number of batteries of a battery module of the battery energy storage system, the quality of electric wires, the quality of a control system and the quality of a heat dissipation system into a battery energy storage system fire load calculation model corresponding to the type of the lithium ion battery for solving to obtain the fire load of the battery energy storage system;
and outputting the fire load of the battery energy storage system.
2. The method for calculating the fire load of the battery energy storage system according to claim 1, wherein the fire load calculation model of the battery energy storage system comprises a battery module fire load calculation model, a wire fire load calculation model, a heat dissipation system fire load calculation model and a control system fire load calculation model.
3. The method for calculating the fire load of the battery energy storage system according to claim 2, wherein the fire load calculation model of the battery module is obtained through the following processes:
s1, heating the single lithium ion battery to cause thermal runaway of the battery, and measuring the heat released by the thermal runaway of the lithium iron phosphate battery and the ternary battery; the lithium ion battery is a lithium iron phosphate battery or a ternary battery;
s2, repeating the step S1 on the battery modules formed by the plurality of lithium iron phosphate batteries and the ternary batteries to obtain the released heat of the battery modules formed by different battery numbers;
s3, according to the number of the battery modules of the energy storage module, obtaining the release heat of the energy storage module formed by the battery modules during thermal runaway combustion, further obtaining the release heat of the battery thermal runaway combustion of the battery energy storage system formed by the energy storage module, and according to the relationship between the number of the battery modules of the energy storage module and the release heat of the battery thermal runaway combustion of the battery energy storage system, obtaining a fire load calculation model of the battery module, wherein the fire load calculation model of the battery module is as follows:
Q＝M*Cp*(T-T0)*C
q is released heat of battery thermal runaway combustion of the battery energy storage system; cpThe specific heat capacity of the battery; t is the highest temperature of thermal runaway of the battery; t is0Is the initial temperature; c is the energy storage capacity of the battery energy storage system; m is the number of battery modules.
4. The method for calculating the fire load of the battery energy storage system according to claim 3, wherein the step of measuring the heat released by thermal runaway of the lithium iron phosphate battery and the ternary battery is performed by heating the single lithium iron phosphate battery or the ternary battery to cause thermal runaway of the batteries, and the step of measuring the heat released by the thermal runaway of the lithium iron phosphate battery and the ternary battery is performed by measuring the heat released by a cone calorimeter.
5. The method for calculating the fire load of the battery energy storage system according to claim 2, wherein the electric wire fire load calculation model is obtained through the following processes:
s11, collecting the mass of combustible materials in the wires of the lithium ion battery energy storage systems with different capacities;
s12, multiplying the mass of the combustible in the electric wire by the unit mass of the combustible to burn and release heat to obtain the release heat of the combustible in the electric wire;
obtaining a wire fire load calculation model according to the relation between the energy storage capacity of the battery energy storage system and the release heat of combustible materials in the wire; the electric wire fire load calculation model is as follows:
Q1,1＝(1+2+3···+n)*25*1000
wherein Q is1,1C is the energy storage capacity of the battery energy storage system, and n is the maximum integer not exceeding C/1920.
6. The method for calculating the fire load of the battery energy storage system according to claim 2, wherein the heat dissipation system fire load calculation model is obtained through the following processes:
s11, collecting the mass of combustible materials in the heat dissipation system in the lithium ion battery energy storage systems with different capacities;
s12, multiplying the mass of the combustible in the heat dissipation system by the unit mass of the combustible to burn and release heat to obtain the release heat of the combustible in the heat dissipation system;
obtaining a fire load calculation model of the heat dissipation system according to the relation between the energy storage capacity of the battery energy storage system and the heat released by combustible materials in the heat dissipation system in the battery energy storage system; the heat dissipation system fire load calculation model is as follows:
Q1,2＝a*C/b*150*c
wherein Q is1,2Releasing heat for combustible matters in a heat dissipation system in the battery energy storage system; c is the energy storage capacity of the battery energy storage system, a is the number of fans of a single module, b is the capacity of the module, and C is the combustion heat of the fan blades.
7. The method for calculating the fire load of the battery energy storage system according to claim 2, wherein the fire load calculation model of the control system is obtained through the following processes:
s11, collecting the combustible mass in the control system in the lithium ion battery energy storage systems with different capacities;
s12, multiplying the mass of the combustible in the control system by the unit mass of the combustible to obtain the heat released by the combustible in the control system;
obtaining a control system fire load calculation model according to the relation between the energy storage capacity of the fitted battery energy storage system and the release heat of combustible materials in a control system in the battery energy storage system, wherein the control system fire load calculation model is as follows:
wherein Q is1,3Releasing heat for combustible materials in a control system in a battery energy storage system; c is the energy storage capacity of the battery energy storage system, m is the number of energy storage modules in the energy storage system, n is the capacity of the energy storage modules, l is the combustion heat of the controller in the control system,
is not more than
Is the largest integer of (a).
8. A battery energy storage system fire load calculation system, comprising:
the acquisition module is used for acquiring the type of the lithium ion battery of the battery energy storage system, the number of batteries of the battery module, the quality of an electric wire, the quality of a control system and the quality of a heat dissipation system;
the solving module is used for inputting the battery number, the electric wire quality, the control system quality and the heat dissipation system quality of a battery module of the battery energy storage system into an energy storage system fire load calculation model corresponding to the lithium ion battery type for solving according to the lithium ion battery type to obtain the fire load of the battery energy storage system;
and the output module is used for outputting the fire load of the battery energy storage system.
9. A computer device, characterized in that the computer device comprises a memory and a processor, the memory having stored thereon a computer program operable on the processor, the computer program, when executed by the processor, implementing the battery energy storage system fire load calculation method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, causes the processor to perform the battery energy storage system fire load calculation method of any one of claims 1 to 7.
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