CN113805063B - Fire load calculation method, system, equipment and medium for battery energy storage system - Google Patents
Fire load calculation method, system, equipment and medium for battery energy storage system Download PDFInfo
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- 238000004146 energy storage Methods 0.000 title claims abstract description 251
- 238000004364 calculation method Methods 0.000 title claims abstract description 106
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 claims abstract description 63
- 229910001416 lithium ion Inorganic materials 0.000 claims abstract description 63
- 230000017525 heat dissipation Effects 0.000 claims abstract description 52
- 238000000034 method Methods 0.000 claims abstract description 33
- 230000008569 process Effects 0.000 claims abstract description 20
- 239000000463 material Substances 0.000 claims description 67
- 238000002485 combustion reaction Methods 0.000 claims description 45
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 16
- 238000003860 storage Methods 0.000 claims description 8
- 238000010438 heat treatment Methods 0.000 claims description 7
- 230000005855 radiation Effects 0.000 claims description 7
- 238000010586 diagram Methods 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
- 230000009471 action Effects 0.000 description 3
- 239000000126 substance Substances 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
- 230000008901 benefit Effects 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 238000001816 cooling Methods 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
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 229920000915 polyvinyl chloride Polymers 0.000 description 2
- 239000004800 polyvinyl chloride Substances 0.000 description 2
- 238000007619 statistical method Methods 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
- 230000005540 biological transmission Effects 0.000 description 1
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- 238000013461 design Methods 0.000 description 1
- 238000012938 design process Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 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
- 239000000178 monomer Substances 0.000 description 1
- 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
- 238000004321 preservation Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
- 230000007480 spreading Effects 0.000 description 1
- 238000003892 spreading Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
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Abstract
The fire load calculation method, system, equipment and medium 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, the number of batteries, the quality of wires, the quality of a control system and the quality of a heat dissipation system of a battery module of the battery energy storage system are input into a fire load calculation model of the battery energy storage system corresponding to the type of the lithium ion battery for solving, so as to obtain fire load of the battery energy storage system; and outputting fire load of the battery energy storage system. The invention can accurately calculate the fire load of the energy storage system according to the capacity of the system general assembly machine, 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 the extinguishing of the thermal runaway fire of the energy storage power station.
Description
Technical Field
The invention belongs to the technical field of fire evaluation of energy storage systems, and relates to a fire load calculation method, a fire load calculation system, fire load calculation equipment and fire load calculation media of a battery energy storage system.
Background
In recent years, along with the continuous progress of the strategies of carbon neutralization and carbon peak in China, the energy source modification and upgrading steps are continuously accelerated, and the construction and planning of a modern intelligent power grid system taking an energy storage technology and a system as cores are increasingly paid attention to. The energy storage technology is applied to all links of power generation, transmission, distribution and power utilization of a power system in a large scale, is an essential key technology for realizing a smart grid, and is a powerful force for pushing energy revolution in China.
The electrochemical energy storage technology, in particular to the lithium ion battery energy storage, has become the energy storage technology with the fastest growth of the installed capacity in the electric energy storage field by the flexible and quick advantage, and the energy storage and the preservation amount of the lithium ion battery reaches 8454MW by 2019 according to CNESA statistics. Moreover, as the permeability of the electric automobile is continuously improved, the scale effect of the lithium ion battery is gradually developed, and as the cost of the lithium battery is rapidly reduced, the importance of the lithium ion battery in the renewable electric energy consumption and traffic electrification industry chain is increasingly highlighted, the electrochemical energy storage market is continuously expanded, and the commercialized development prospect is wide.
However, with the development of the energy storage technology of lithium ion batteries, the safety problem of the lithium ion batteries is increasingly prominent. In the past year, the energy storage fire safety accident amount of the lithium ion battery is over 30 worldwide, and serious property loss and casualties are caused. While lithium ion batteries are applied in a large number of commercializes, the fire safety problem of lithium ion batteries becomes a bottleneck restricting the large-scale application of lithium ion battery power energy storage.
In addition, a large number of electrical equipment exists in the lithium ion battery energy storage system, and in the use process of the energy storage power station, loss of electrical elements, overload operation of an electrical circuit, short circuit of the electrical equipment and the like all cause electrical fire to occur, so that thermal runaway of the lithium ion battery and spreading of the thermal runaway are induced, large-scale fire is caused, and the whole energy storage system is burnt.
At present, research on fire loads of markets and residential areas is mature, statistical analysis is carried out on combustible material quantities and heat values in buildings to obtain fire loads of houses and shops with different functions, and the fire loads of the whole market or residential areas are estimated according to statistical analysis means.
In the fire load calculation method of the malls and the residential areas, comprehensive consideration needs to be carried out on fire loads of different functional areas under more samples. However, in the lithium ion battery energy storage power station, functions of different areas are close, substances are single, fire loads of different areas are close, so that a large amount of sample collection is not needed, and Boltzmann distribution of fire loads of different functional areas in a mall does not exist.
In the fire disaster process of the energy storage power station, not only the combustion heat release of combustible substances in the power station exists, but also the electrochemical reaction heat release in the thermal runaway process of the lithium ion battery and the combustion heat release of products after the electrochemical reaction are included, so that the fire disaster load analysis of the energy storage power station is more complicated. And cannot be analyzed by simple statistics alone.
At present, most of fire extinguishing systems of energy storage power stations are water mist fire extinguishing systems, and when a fire disaster occurs, the water mist fire extinguishing systems are utilized for fire disaster fire extinguishing operation. However, there is no standard to standardize the amount of fire suppressant to prevent too little fire suppressant from causing water to go out or too much fire suppressant from causing the entire energy storage system to collapse.
In the design process of the energy storage power station, the fire extinguishing system of the energy storage system is accurately designed according to the energy storage load capacity of the energy storage power station. This results in a lithium ion battery energy storage power station that fails to provide fire extinguishing measures matching the fire load after thermal runaway, resulting in extremely difficult fire extinguishing. Therefore, a calculation method for calculating and evaluating the fire load of the energy storage system aiming at the thermal runaway fire load of the energy storage power station is urgently needed, and a reasonable and reliable fire-fighting measure is provided for extinguishing the thermal runaway fire of the energy storage power station.
Disclosure of Invention
The invention aims to provide a fire load calculation method, a system, equipment and a medium for a battery energy storage system, wherein the method can calculate the fire load of the battery energy storage system and provide reasonable and reliable fire protection measures for extinguishing thermal runaway fires of an energy storage power station.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a fire load calculation method of 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, the number of batteries, the quality of wires, the quality of a control system and the quality of a heat dissipation system of a battery module of the battery energy storage system are input into a fire load calculation model of the battery energy storage system corresponding to the type of the lithium ion battery for solving, so as to obtain fire load of the battery energy storage system;
and outputting fire load of the battery energy storage system.
Further, the fire load calculation model of the battery energy storage system comprises a fire load calculation model of the battery module, an electric wire fire load calculation model, a fire load calculation model of the heat dissipation system and a fire load calculation model of the control system.
Further, the fire load calculation model of the battery module is obtained through the following processes:
s1, heating a single lithium ion battery to cause thermal runaway of the battery, and measuring release heat of 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 for a plurality of battery modules formed by the lithium iron phosphate batteries and the ternary batteries to obtain release 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 heat release of the energy storage module formed by the battery modules during thermal runaway combustion, further obtaining the heat release of the thermal runaway combustion of the battery energy storage system formed by the energy storage module, and according to the relation between the number of the battery modules of the energy storage module and the heat release of the 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*C p *(T-T 0 )*C
wherein Q is the release heat of the thermal runaway combustion of the battery energy storage system; c (C) p Specific heat capacity of the battery; t is the highest temperature of thermal runaway of the battery; t (T) 0 Is the initial temperature; c is the energy storage capacity of the battery energy storage system; m is the number of battery modules.
Further, in the step of heating the single lithium iron phosphate battery or the ternary battery to cause thermal runaway of the battery, and measuring the heat release of the thermal runaway of the lithium iron phosphate battery and the ternary battery, the heat release is measured by a cone calorimeter.
Further, the electric wire fire load calculation model is obtained through the following steps:
s11, collecting the combustible material quantities in the wires of the lithium ion battery energy storage systems with different capacities;
s12, multiplying the amount of combustible materials in the electric wire by the unit mass combustion release heat of the combustible materials to obtain release heat of the combustible materials 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:
Q 1,1 ＝(1+2+3…+n)*25*1000
wherein Q is 1,1 The heat is released from the combustible materials in the electric wire, C is the energy storage capacity of the battery energy storage system, and n is the maximum integer not exceeding C/1920.
Further, the heat radiation system fire load calculation model is obtained through the following processes:
s11, collecting the combustible material quantities in heat dissipation systems in lithium ion battery energy storage systems with different capacities;
s12, multiplying the quantity of combustible materials in the heat dissipation system by the unit mass combustion release heat of the combustible materials to obtain release heat of the combustible materials in the heat dissipation system;
according to the relation between the energy storage capacity of the battery energy storage system and the release heat of combustible materials in a heat dissipation system in the battery energy storage system, a fire load calculation model of the heat dissipation system is obtained; the heat radiation system fire load calculation model is as follows:
Q 1,2 ＝a*C/b*150*c
wherein Q is 1,2 Releasing heat for combustibles 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 fan blades.
Further, the control system fire load calculation model is obtained through the following processes:
s11, collecting the combustible material quantities in control systems of lithium ion battery energy storage systems with different capacities;
s12, multiplying the quantity of combustible materials in the control system by the unit mass combustion release heat of the combustible materials to obtain release heat of the combustible materials in the control system;
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, a control system fire load calculation model is obtained, and the control system fire load calculation model is as follows:
wherein Q is 1,3 Releasing heat for combustibles 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 a controller in the control system,is not more than->Is the largest integer of (a).
A battery energy storage system fire load computing 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 the batteries of the battery module, the quality of the electric wire, the quality of the control system and the quality of the heat dissipation system;
the solving module is used for inputting the battery quantity, the wire quality, the control system quality and the heat dissipation system quality of the 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, so as to obtain the fire load of the battery energy storage system;
and the output module is used for outputting 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 executable 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 beneficial effects that:
according to the method, the fire load of the energy storage system is obtained through the calculation model of the fire load of the energy storage system, so that 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. The number of the batteries of the battery module of the energy storage system, the quality of the 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 to be input into the fire load calculation model of the energy storage power station, the fire load calculation model of the energy storage power station covers the characteristics of the existing lithium ion battery energy storage system, all fire load influence factors are contained, and fire load calculation can be carried out on the energy storage systems with different installed capacities and different lithium ion installed types. The fire load of the energy storage system can be accurately calculated according to the capacity of the total assembly machine of the energy storage system, the capacity of a single battery, the number of the module batteries and the types of the batteries, the calculation process is simple, the result is accurate and representative, and a reasonable and reliable fire-fighting measure can be provided for extinguishing the thermal runaway fire of the energy storage power station.
Drawings
Fig. 1 is a flowchart of a fire load calculation method of a battery energy storage system according to the present invention.
Fig. 2 is a schematic diagram of a fire load calculation model of the battery energy storage system according to the present invention.
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 term referred to in this invention includes fire load and fire load density.
The fire load means: total heat value generated by combustion of all combustible materials in fire space.
The fire load density means: the unit area relates to the average heat value of combustion of combustible materials in the fire space.
In order to meet the needs of the prior art, the invention comprehensively considers the thermal runaway fire load of the lithium ion battery monomer, the module and the energy storage system, and aims to provide a calculation method for accurately calculating the fire load of the lithium ion battery energy storage system, so as to obtain a relation model of the fire load of the energy storage system and the energy storage capacity of the system, to pre-evaluate the fire load of the energy storage system, to provide guidance for the identification of the energy level and the hazard class released by the thermal runaway of the lithium ion battery energy storage system, and to provide standards 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 fire load calculation method 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, the number of batteries, the quality of wires, the quality of a control system and the quality of a heat dissipation system of a battery module of the battery energy storage system are input into a fire load calculation model of the battery energy storage system corresponding to the type of the lithium ion battery for solving, so as to obtain fire load of the battery energy storage system;
and outputting 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.
Building a fire load calculation model of the battery module:
s1, heating single lithium iron phosphate batteries or ternary batteries with different capacities by using a heating method to cause thermal runaway of the batteries, igniting smoke by using an igniter when a safety valve is opened, and measuring release heat of the thermal runaway of the lithium iron phosphate batteries or the ternary batteries by using a cone calorimeter;
s2, carrying out heat 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 of the step S1 to obtain release heat of the battery modules formed by different battery numbers;
s3, according to the single battery capacity and the number of battery modules of the energy storage module, obtaining release heat of the energy storage module during thermal runaway combustion, and further obtaining release heat Q of the thermal runaway combustion of a battery of the battery energy storage system formed by the energy storage module 2 According to the relation 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, the fire load of the battery modules of the battery energy storage system is obtainedAnd calculating a model. The fire load calculation model of the battery module of the battery energy storage system is as follows:
Q＝M*C p *(T-T 0 )*C
wherein Q represents the thermal runaway combustion heat release amount of the battery; c (C) p Lithium iron phosphate battery C for specific heat capacity of battery p =40.6J/(kg·°c.ah); t represents the maximum temperature of thermal runaway of the battery; t (T) 0 Is the initial temperature; c is the energy storage capacity of the battery energy storage system, and the unit is Ah; m is the number of battery modules.
From the existing battery thermal runaway data, the relationship between the battery thermal runaway heat release amount and the energy storage capacity is obtained by fitting, as shown in fig. 3.
The energy storage modules are composed of 30 groups of battery modules, and the number of the specific battery modules is determined 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 amounts of combustible materials in the wires, the heat dissipation systems and the control systems of the lithium ion battery energy storage systems with different capacities according to the compositions and the materials of the wires, the heat dissipation systems and the control systems of the lithium ion battery energy storage systems with different capacities except the batteries;
s12, respectively inquiring the acquired heat values of the electric wire, the heat dissipation system and the combustible in the control system to obtain the unit mass combustion release heat of the combustible in the electric wire, the unit mass combustion release heat of the combustible in the heat dissipation system and the unit mass combustion release heat of the combustible in the control system.
Multiplying the amount of combustible material in the wire by the heat released from the combustible material per unit mass to obtain the heat released Q of the combustible material in the wire 1,1 ；
The amount of combustible material in the heat dissipation system is multiplied by the unit mass combustion release heat of the combustible material to obtain release heat Q of the combustible material in the heat dissipation system 1,2 ；
Multiplying the amount of combustible material in the control system by the heat released from the combustion per unit mass of the combustible material to obtain the heat released Q of the combustible material in the control system 1,3 ；
According to the energy storage capacity (C) of the battery energy storage system and the release heat Q of combustible materials in wires in the energy storage system 1,i The relation between the two is used for obtaining a wire fire load calculation model;
the combustible in the electric wire is polyvinyl chloride insulating rubber with a surface skin, and the burning heat is 25kJ/g. The mass of polyvinyl chloride in the wire is related to the energy storage capacity. In the energy storage system formed by taking 1920Ah as an energy storage module, the electric wire fire load calculation model is as follows:
Q 1,1 ＝(1+2+3…+n)*25*1000，n＝[C/1920]
wherein Q is 1,1 Releasing heat for combustible materials in electric wires in an energy storage system, wherein C is the energy storage capacity [ C/1920 ]]Is a maximum 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 materials in a heat dissipation system in the battery energy storage system 1,2 The relation between the two is used for obtaining a fire load calculation model of the heat dissipation system;
in the heat dissipation system, combustion substances are mainly heat dissipation fan blades. The heat radiation system fire load calculation model is as follows:
Q 1,2 ＝a*C/b*150*c
wherein Q is 1,2 Releasing heat for combustible materials in a heat dissipation system in a battery energy storage system, wherein the unit is kJ; 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 fan blades.
Specifically, in an energy storage system formed by 1920Ah energy storage modules, the number of fans of a single module is 6, the combustion heat of fan blades is 30.52kJ/g, and then the fire load calculation model of the heat dissipation system is as follows:
Q 1,2 ＝6*C/1920*150*30.52
based on the energy storage capacity (C) of the battery energy storage system and the release heat Q of combustible materials in a control system in the battery energy storage system 1,3 The relation between the two is used for obtaining a fire load calculation model of the control system; the fire load calculation model of the control system is as follows:
wherein Q is 1,3 Releasing heat for combustibles 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 a controller in the control system,is not more than->Is the largest integer of (a).
Specifically, the control system mainly comprises a safety controller, a charge-discharge controller and an electronic controller, the combustion heat is 492 MJ/table, and in the energy storage system, one controller can control at least 6 1920Ah energy storage modules. Therefore, the control system fire load calculation model is:
wherein Q is 1,3 Releasing heat per kJ for combustibles in a control system in a battery energy storage system; c is the energy storage capacity, unit Ah.Is not more than->Is the largest integer of (a).
Total release heat q1=q of electric wires, heat dissipation system and control system in battery energy storage system 1,1 +Q 1,2 +Q 1,3 ；
Fire load of battery energy storage system is Q 1 +Q 2 。
According to the unit area load of the lithium ion battery of the energy storage power station, the fire load density of the energy storage power station can be obtained.
The fire load calculation model of the lithium ion battery energy storage system provided by the invention can accurately calculate the fire load of the existing 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 the batteries of the battery module, the quality of the electric wire, the quality of the control system and the quality of the heat dissipation system;
the solving module is used for inputting the number of batteries, the quality of wires, the quality of a control system and the quality of a heat dissipation system of a battery module of the battery energy storage system into a fire load calculation model of the battery energy storage system corresponding to the lithium ion battery type for solving according to the lithium ion battery type, so as to obtain the fire load of the battery energy storage system;
and the output module is used for outputting fire load of the battery energy storage system.
The invention provides a computer device, which comprises a memory and a processor, wherein a computer program capable of running on the processor is stored in the memory, and the computer program realizes the fire load calculation of the battery energy storage system when being executed by the processor.
The present invention provides 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 as described above.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other.
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.
In the present invention, "module," "device," "system," and the like refer to a related entity, either hardware, a combination of hardware and software, or software in execution, as applied to a computer. 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, the application or script running on the server, the server may be an element. One or more elements may be in processes and/or threads of execution, and elements may be localized on one computer and/or distributed between two or more computers, and may be run by various computer readable media. The elements may also communicate by way of local and/or remote processes in accordance with a signal having one or more data packets, e.g., a signal from one data packet interacting with another element in a local system, distributed system, and/or across a network of the internet with other systems by way of the signal.
Finally, it is further noted that relational terms such as first and second, and the like are 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. Moreover, the terms "comprises," comprising, "or" includes not only those elements but also 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 like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (5)
1. The fire load calculation method of the battery energy storage system is characterized by comprising the following steps of:
acquiring the type of a lithium ion battery, the number of battery modules, the quality of wires, the quality of a control system and the quality of a heat dissipation system of a battery energy storage system;
according to the type of the lithium ion battery, the number of battery modules, the quality of an electric wire, the quality of a control system and the quality of a heat dissipation system of the battery energy storage system are input into a fire load calculation model of the battery energy storage system corresponding to the type of the lithium ion battery for solving, so that the fire load of the battery energy storage system is obtained;
the fire load calculation model of the battery energy storage system comprises a fire load calculation model of a battery module, an electric wire fire load calculation model, a fire load calculation model of a heat dissipation system and a fire load calculation model of a control system;
the fire load calculation model of the battery module is obtained through the following processes:
s1, heating a single lithium ion battery to cause thermal runaway of the battery, and measuring release heat of 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 for a plurality of battery modules formed by the lithium iron phosphate batteries and the ternary batteries to obtain release 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 heat released by the energy storage module formed by the battery modules during thermal runaway combustion, further obtaining the heat released by the thermal runaway combustion of the battery energy storage system formed by the energy storage module, and according to the relation between the number of the battery modules of the energy storage module and the heat released by the 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*C p *(T-T 0 )*C
wherein Q is the release heat of the thermal runaway combustion of the battery energy storage system; c (C) p Specific heat capacity of the battery; t is the highest temperature of thermal runaway of the battery; t (T) 0 Is the initial temperature; c is the energy storage capacity of the battery energy storage system; m is the number of the battery modules;
the electric wire fire load calculation model is obtained through the following steps:
s11, collecting the combustible material quantities in the wires of the lithium ion battery energy storage systems with different capacities;
s12, multiplying the amount of combustible materials in the electric wire by the unit mass combustion release heat of the combustible materials to obtain release heat of the combustible materials 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:
Q 1,1 ＝(1+2+3···+n)*25*1000
wherein Q is 1,1 Releasing heat for combustible materials in the electric wire, wherein C is the energy storage capacity of the battery energy storage system, and n is the maximum integer not exceeding C/1920;
the heat radiation system fire load calculation model is obtained through the following processes:
s11, collecting the combustible material quantities in heat dissipation systems in lithium ion battery energy storage systems with different capacities;
s12, multiplying the quantity of combustible materials in the heat dissipation system by the unit mass combustion release heat of the combustible materials to obtain release heat of the combustible materials in the heat dissipation system;
according to the relation between the energy storage capacity of the battery energy storage system and the release heat of combustible materials in a heat dissipation system in the battery energy storage system, a fire load calculation model of the heat dissipation system is obtained; the heat radiation system fire load calculation model is as follows:
Q 1,2 ＝a*C/b*150*c
wherein Q is 1,2 Releasing heat for combustibles 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 fan blades;
the fire load calculation model of the control system is obtained through the following processes:
s11, collecting the combustible material quantities in control systems of lithium ion battery energy storage systems with different capacities;
s12, multiplying the quantity of combustible materials in the control system by the unit mass combustion release heat of the combustible materials to obtain release heat of the combustible materials in the control system;
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, a control system fire load calculation model is obtained, and the control system fire load calculation model is as follows:
wherein Q is 1,3 Releasing heat for combustibles 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 a controller in the control system,is not more than->Is the largest integer of (2);
and outputting fire load of the battery energy storage system.
2. The method of claim 1, wherein the step of heating the single lithium iron phosphate battery or the ternary battery to cause thermal runaway of the battery, and measuring the heat release of the thermal runaway of the lithium iron phosphate battery and the ternary battery, the heat release is measured by a cone calorimeter.
3. A battery energy storage system fire load computing system, comprising:
the acquisition module is used for acquiring the type of the lithium ion battery, the number of the battery modules, the quality of the electric wires, the quality of the control system and the quality of the heat dissipation system of the battery energy storage system;
the solving module is used for inputting the number of the battery modules, the quality of the electric wires, the quality of the control system and the quality of the heat dissipation system 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, so as to obtain the fire load of the battery energy storage system;
the fire load calculation model of the battery energy storage system comprises a fire load calculation model of a battery module, an electric wire fire load calculation model, a fire load calculation model of a heat dissipation system and a fire load calculation model of a control system;
the fire load calculation model of the battery module is obtained through the following processes:
s1, heating a single lithium ion battery to cause thermal runaway of the battery, and measuring release heat of 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 for a plurality of battery modules formed by the lithium iron phosphate batteries and the ternary batteries to obtain release 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 heat released by the energy storage module formed by the battery modules during thermal runaway combustion, further obtaining the heat released by the thermal runaway combustion of the battery energy storage system formed by the energy storage module, and according to the relation between the number of the battery modules of the energy storage module and the heat released by the 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*C p *(T-T 0 )*C
wherein Q is the release heat of the thermal runaway combustion of the battery energy storage system; c (C) p Specific heat capacity of the battery; t is the highest temperature of thermal runaway of the battery; t (T) 0 Is the initial temperature; c is the energy storage capacity of the battery energy storage system; m is the number of the battery modules;
the electric wire fire load calculation model is obtained through the following steps:
s11, collecting the combustible material quantities in the wires of the lithium ion battery energy storage systems with different capacities;
s12, multiplying the amount of combustible materials in the electric wire by the unit mass combustion release heat of the combustible materials to obtain release heat of the combustible materials 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:
Q 1,1 ＝(1+2+3···+n)*25*1000
wherein Q is 1,1 Releasing heat for combustible materials in the electric wire, wherein C is the energy storage capacity of the battery energy storage system, and n is the maximum integer not exceeding C/1920;
the heat radiation system fire load calculation model is obtained through the following processes:
s11, collecting the combustible material quantities in heat dissipation systems in lithium ion battery energy storage systems with different capacities;
s12, multiplying the quantity of combustible materials in the heat dissipation system by the unit mass combustion release heat of the combustible materials to obtain release heat of the combustible materials in the heat dissipation system;
according to the relation between the energy storage capacity of the battery energy storage system and the release heat of combustible materials in a heat dissipation system in the battery energy storage system, a fire load calculation model of the heat dissipation system is obtained; the heat radiation system fire load calculation model is as follows:
Q 1,2 ＝a*C/b*150*c
wherein Q is 1,2 Releasing heat for combustibles 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 fan blades;
the fire load calculation model of the control system is obtained through the following processes:
s11, collecting the combustible material quantities in control systems of lithium ion battery energy storage systems with different capacities;
s12, multiplying the quantity of combustible materials in the control system by the unit mass combustion release heat of the combustible materials to obtain release heat of the combustible materials in the control system;
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, a control system fire load calculation model is obtained, and the control system fire load calculation model is as follows:
wherein Q is 1,3 Releasing heat for combustibles 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 a controller in the control system,is not more than->Is the largest integer of (2);
and the output module is used for outputting fire load of the battery energy storage system.
4. A computer device comprising a memory and a processor, the memory having stored thereon a computer program executable on the processor, the computer program when executed by the processor implementing the method of fire load calculation of a battery energy storage system according to any one of claims 1 to 2.
5. 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 according to any one of claims 1 to 2.
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