CN116328227A - Fire protection system for battery energy storage room and fire disaster early warning method - Google Patents
Fire protection system for battery energy storage room and fire disaster early warning method Download PDFInfo
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- A—HUMAN NECESSITIES
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- A62C3/16—Fire prevention, containment or extinguishing specially adapted for particular objects or places in electrical installations, e.g. cableways
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62C—FIRE-FIGHTING
- A62C37/00—Control of fire-fighting equipment
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Abstract
The application discloses a fire protection system for a battery energy storage room and a fire early warning method, which relate to the technical field of fire protection monitoring of an electrochemical energy storage system, wherein the fire protection system for the battery energy storage room comprises a data acquisition unit for acquiring fire pre-judging parameters, a data processing unit for judging the abnormal degree of the fire pre-judging parameters and dividing state intervals for battery states, a data storage unit for storing data and related algorithms, and an execution unit for executing corresponding actions according to the judging result of the state interval where the battery states are, so that the charge and discharge states of all batteries in the battery energy storage room can be monitored in real time, early fault problems can be found and processed in time, serious safety accidents are avoided, and the fire early warning method can control the fire hidden danger in an initial stage and prevent the fire hidden danger from spreading to cause serious consequences.
Description
Technical Field
The application relates to the technical field of fire monitoring of electrochemical energy storage systems, in particular to a fire protection system for a battery energy storage room and a fire disaster early warning method.
Background
In the field of energy, the transformation to clean energy has become a common goal of all countries worldwide, and new energy power generation such as photovoltaic, wind power and the like has the characteristics of unbalance and instability compared with fossil energy, and simultaneously, the requirements of the power generation side and the power grid side fields on energy storage systems are also promoted. Along with the implementation of the national 'double carbon' policy and the gradual maturation of energy storage technologies, the five-year-future China energy storage lithium battery is expected to keep growing at a high speed, and the application market development potential of energy storage products at the power generation side, the power grid side and the user side is huge, so that the energy storage market is in a rapid development stage.
The problems caused by the rapid development of the energy storage market gradually enter the visual field of people, the energy storage safety is a very troublesome problem, the battery often generates heat, gas leaks and even fires are hidden in the energy storage process, and once an open fire appears, the explosion is extremely likely to occur, so that great losses are caused to the personal safety and property safety of people. Therefore, the fire disaster possibly occurring in the battery energy storage chamber must be avoided as much as possible, discovered in time when the fire disaster is unavoidable, and processed in time after the fire disaster is discovered, so that the fire disaster is prevented from spreading.
Disclosure of Invention
Aiming at the problem that fire is easy to happen when the battery in the energy storage chamber is charged in actual application, the application aims at providing a fire protection system for the battery energy storage chamber, which can monitor the charge and discharge states of all batteries in the battery energy storage chamber in real time, discover and process early failure problems in time and avoid serious safety accidents; the second aim is to provide a fire disaster early warning method for the battery energy storage chamber, which can control the hidden danger of the fire disaster in the initial stage and prevent the hidden danger from spreading to cause serious consequences.
The specific scheme is as follows:
a fire protection system for a battery energy storage compartment, comprising:
The data acquisition unit comprises a fire pre-judging parameter integration component and a monitoring terminal which is connected with the fire pre-judging parameter integration component in a data way and is arranged in the battery and the energy storage chamber, and the data acquisition unit acquires and outputs the fire pre-judging parameter data of the battery in real time;
the data processing unit is in data connection with the data acquisition unit, receives and based on the fire pre-judging parameter data, judges the abnormal degree of the battery parameter according to a set algorithm, divides the state interval and outputs the state interval data of the current battery;
the data storage unit is used for loading and storing the state interval data and the matched battery charge and discharge rate, battery fire pre-judging parameters and the working state data of the fire fighting assembly;
the execution unit is in data connection with the data processing unit and the data storage unit and comprises a charging adjusting component for adjusting the charging and discharging states of the battery, an active adjusting component for adjusting the fire pre-judging parameters of the battery and a fire extinguishing component for controlling the fire spreading degree of each stage of fire, and is used for receiving and responding to the state interval data, adjusting the charging and discharging rate of the battery, adjusting the fire pre-judging parameters of the battery and controlling the working state of the fire extinguishing component.
By adopting the technical scheme, the monitoring terminal acquires fire pre-judging parameter data in the energy storage chamber in real time, such as temperature, pressure and other parameter data in the battery pack, and then outputs the fire pre-judging parameter data, the fire pre-judging parameter data is collected and processed by the fire pre-judging parameter integration component and then is output to the data processing unit, the abnormal degree of the fire pre-judging parameter data is judged according to the setting algorithm stored or invoked in the data processing unit, the state interval is divided according to the abnormal degree, and the execution unit invokes the state interval stored in the data storage unit and the working state of each component correspondingly adapted to the state interval, so that the working state of each component is controlled. Unlike existing fire protection systems, it is necessary to wait until a fire occurs before a corresponding extinguishing measure can be taken. According to the technical scheme, the charge and discharge rate of the battery or other parameters related to the occurrence of the fire can be adjusted in a targeted manner before the occurrence of the fire, so that the occurrence probability of the fire is reduced, and the working state of the fire extinguishing assembly can be controlled in advance when the fire occurs, so that the fire spreading can be effectively restrained. According to the scheme, signals representing various stages of the fire in the battery energy storage room are dataized, accurate prevention or fire extinguishing operation steps are formulated, the probability of fire occurrence is effectively reduced, the spreading trend after the fire occurrence is slowed down, and serious safety accidents are avoided.
Preferably, the fire pre-judging parameter data includes battery temperature data;
the monitoring terminal comprises a contact type temperature sensor arranged in the battery pack and an infrared temperature sensor arranged in the energy storage chamber;
the fire hazard pre-judging parameter integrating component comprises a data integrating module which is used for receiving data and converting the data into output, is connected with the contact type temperature sensor and the infrared temperature sensor through signals, receives temperature signals inside and outside the battery pack, converts the temperature signals into a set data format and then outputs the set data format.
The temperature change is a parameter which can be changed when the battery energy storage chamber breaks out a fire disaster, and by adopting the technical scheme, the temperature signal is dataized, so that the probability of the fire disaster can be accurately predicted; the method has the advantages that not only is the integral temperature signal in the battery energy storage chamber collected, but also the contact type temperature sensor is arranged in each battery pack to collect the internal temperature of each battery, so that the integral temperature change in the energy storage chamber and the temperature change of each battery can be accurately obtained, and the accurate monitoring of the battery state is realized; the fire pre-judging parameter integration component is used for integrating and outputting the single battery temperature signal and the energy storage chamber temperature signal, so that the fault tolerance of parameter acquisition is improved, the judgment of the fire occurrence probability is facilitated, and the false alarm probability is effectively reduced; the temperature change of a single battery is collected, and the corresponding relation between the charging and discharging rate and the charging and discharging state and the temperature of the battery can be known by combining the data in the charging and discharging management system, so that the dividing rule of the state interval can be further optimized in the later period.
Preferably, the fire pre-judging parameter data further comprises battery pressure data;
the monitoring terminal also comprises a pressure sensor arranged in the battery pack;
and the pressure sensor is in signal connection with the data integration module and detects and outputs a pressure signal in the battery pack.
By adopting the technical scheme, the pressure change in the battery pack represents the occurrence of faults such as short circuit and the like in the battery pack, and is combined with the abnormal temperature change, and the faults are integrated and output through the data integration module, so that the fault tolerance of parameter acquisition is improved, the accuracy of fire occurrence probability judgment is improved, and the probability of fire false alarm is effectively reduced; the collection of the internal pressure signals of the battery increases the standard of dividing the battery state interval, so that the state interval is divided more accurately, more targeted measures can be taken in time to inhibit fire spreading, and larger loss is avoided; the pressure change inside a single battery is collected, and the corresponding relation between the battery charging and discharging speed and the charging and discharging state and the internal pressure of the battery can be known by combining the data in the charging and discharging management system, so that the dividing rule of the state interval can be further optimized in the later period.
Preferably, the data acquisition unit further comprises a charge-discharge parameter integration component, configured to be in data connection with the battery charge-discharge management system, and used for acquiring and outputting battery charge-discharge data in real time;
The data storage unit is also stored with a first fire probability curve for reflecting the association relationship between the battery charge and discharge data and the fire occurrence probability;
the data processing unit receives the battery charge and discharge data, judges the probability of battery fire occurrence according to the first fire probability curve, and outputs probability judgment data;
the execution unit further includes a sampling frequency control component for adjusting the sampling frequency of the monitoring terminal, receiving and adjusting the sampling frequency of the monitoring terminal in response to the probability determination data.
According to the technical scheme, according to the first fire probability curve stored in the data storage unit, the fire occurrence probability corresponding to different battery charge and discharge data can be obtained, when the fire occurrence probability is large, the sampling frequency control component increases the sampling frequency of the monitoring terminal, so that the change curve of fire pre-judging parameters such as temperature, pressure and the like is more accurate, the early sign of battery fire is avoided when fire judgment is caused by the mutation point of missed fire pre-judging parameters, the accuracy of fire pre-judgment is improved, and the probability of fire occurrence is reduced; when the probability of the occurrence of the battery fire is smaller, the sampling frequency of the monitoring terminal can be reduced, the occupation of the storage space in the data storage unit by the useless data is reduced, and more storage space allowance is provided for the emergency.
Preferably, the data processing unit is configured with:
the data processing unit is provided with:
the curve fitting module is in data connection with the charge-discharge parameter integrating component and the fire disaster pre-judging parameter integrating component, acquires the charge-discharge data of the battery and the fire disaster pre-judging parameter data, and generates a second fire disaster probability curve for reflecting the association relationship between the charge-discharge data of the battery and the fire disaster occurrence probability according to a set fitting algorithm;
and the automatic updating module is configured to be in data connection with the curve fitting module and the data storage unit, and is used for receiving the second fire probability curve and storing the second fire probability curve into the data storage unit to update and cover the first fire probability curve.
By adopting the technical scheme, the curve fitting module correlates the current charge and discharge data with the current fire pre-judging parameter data to generate a second fire probability curve, the automatic updating module updates the second fire probability curve to replace the first fire probability curve, the steps are repeated continuously, and the corresponding relation between the personalized battery charge and discharge state and parameters such as temperature, pressure and the like is generated for each battery, so that the current fire occurrence probability can be accurately judged, and the fire is accurately prevented and controlled.
Preferably, the active adjusting component comprises a first cooling pump and a first cooling control member which are communicated with the battery energy storage chamber, and the cooling power of the first cooling pump is received and is adjusted in response to the state interval data so as to adjust the temperature in the battery energy storage chamber.
Through adopting above-mentioned technical scheme, when state interval data reflects that current energy storage indoor temperature is higher, the execution unit can control first cooling pump control spare and accelerate first cooling pump refrigeration, adjusts the indoor overall temperature of battery energy storage, avoids high temperature environment to influence battery energy storage and causes more serious incident.
Preferably, the active adjustment assembly further comprises:
the cooling pipe is arranged around and/or penetrating the battery pack;
the second cooling pump is communicated with the cooling pipe and used for adjusting the refrigerating power of the refrigerant in the cooling pipe;
and a second cooling control member in data connection with the data processing unit, receiving and adjusting the cooling power of the second cooling pump in response to the status interval data to adjust the temperature within the single battery pack.
Through adopting above-mentioned technical scheme, when state interval data shows that current individual battery package temperature is higher, the execution unit can control second cold zone pump control spare to accelerate and encircle and/or wear to locate the intraductal refrigerant circulation speed of cooling of this battery package, and accurate, for the abnormal battery package cooling of individual temperature effectively, avoid single battery package to take place burning or explosion because self high temperature reduces the probability that the energy storage room conflagration takes place.
Preferably, the fire extinguishing assembly comprises:
the fire-fighting device is configured into various fire extinguishers and is arranged in the battery energy storage chamber;
and the fire-fighting control part is in data connection with the data processing unit, receives and responds to the state interval data, and controls the working states of various fire extinguishers.
By adopting the technical scheme, when the state interval data shows that the fire is necessarily present at present, the execution unit can control the fire extinguishing control piece to enable the corresponding fire extinguisher to be started in advance, so that the fire is prepared in advance for the necessarily present fire, the fire is controlled in the sprouting stage, and more serious consequences such as explosion are avoided; the execution unit is utilized to control the fire extinguisher to automatically extinguish fire without manual fire extinguishment, thereby protecting the personal safety of staff and firefighters.
Preferably, the execution unit further includes a remote early warning module, including:
the data conversion module is in data connection with the data processing unit, receives the state interval data, converts the state interval data into a set format and outputs the state interval data;
the communication module is configured as a WIFI/Bluetooth/GPRS/4G communication module, is in data connection with the data conversion module, receives the state interval data and outputs the state interval data to the set communication terminal.
By adopting the technical scheme, the data and signals of each stage of the fire disaster are synchronously transmitted to the communication terminal of the staff through the communication module, so that the workload of the staff for checking the hidden danger of the fire disaster is reduced; meanwhile, the possible fire disaster is warned and prompted in time, so that workers can withdraw or take relevant emergency measures in time, and the personal and property safety of people is protected.
A fire early-warning method based on the early-warning fire-fighting system for the battery energy storage room comprises the following steps:
establishing and storing the corresponding relation between each fire pre-judging parameter data and the state interval;
establishing an association relation between a state interval and action states of each execution component in the execution unit;
acquiring fire pre-judging parameter data at the current moment, and determining a current state interval;
and adjusting the action state of each execution component according to the association relation based on the state interval of the battery at the current moment.
By adopting the technical scheme, the data, the state interval and the action of the execution assembly are mutually corresponding, the state interval of the battery is defined by the battery fire pre-judging parameter data acquired by the data acquisition unit, the data processing unit outputs the state interval of the battery to the execution unit, the execution unit executes different actions aiming at different state intervals, and different fire suppressing measures are carried out aiming at different abnormal phases of the battery, so that the fire is effectively suppressed in the sprouting phase.
Preferably, the fire hazard pre-judging parameter data comprises battery pack internal temperature data, battery pack internal pressure data and energy storage chamber internal temperature data;
the establishing and storing the corresponding relation between each fire pre-judging parameter data and the state interval comprises the following steps:
establishing a prejudgment algorithm for integrating and converting various fire prejudgment parameter data into a fire occurrence prejudgment value;
setting a base reference value for dividing different state intervals;
and combining the datum reference value and the prejudging value to obtain the corresponding relation between the fire prejudging parameter data and the state interval, and storing the corresponding relation.
By adopting the technical scheme, various fire disaster pre-judging parameter data of temperature and pressure are collected, are dataized and staged, and different treatment measures are formulated and stored for different stages, so that the fire disaster spreading can be restrained in a targeted manner.
Preferably, the correspondence between each fire pre-judgment parameter data and the status section includes:
when the fire pre-judging parameter data reach a first reference parameter value, the battery is positioned in a first state interval;
when the fire pre-judging parameter data reach a second reference parameter value, the battery is positioned in a second state interval;
When the fire pre-judging parameter data reach a third reference parameter value, the battery is positioned in a third state interval;
when the fire pre-judging parameter data reach a fourth reference parameter value, the battery is positioned in a fourth state interval;
when the fire pre-judging parameter data reach a fifth reference parameter value, the battery is positioned in a fifth state interval;
the association relationship between the state interval and the action state of each execution component in the execution unit comprises:
when the battery is positioned in the first state interval, the active adjusting component and the charging adjusting component operate at a first working power;
when the battery is positioned in the second state interval, the active adjusting component and the charging adjusting component operate at a second working power;
when the battery is positioned in the third state interval, the active adjusting component and the charging adjusting component operate at a third working power;
when the battery is positioned in the fourth state interval, the fire-fighting assembly starts to work;
when the battery is located in the fifth state interval, the fire-fighting assembly continuously works.
By adopting the technical scheme, different areas are subjected to data representation, so that the interval is defined more accurately, and the fire is restrained in a germination stage; fire-fighting is carried out through the mode that slows down charge rate or initiative regulation parameter at the unusual initial stage of battery, and fire-fighting is carried out through the mode that cuts off the power and further regulate parameter in the unusual middle stage of battery, opens fire-fighting subassembly in advance through the later stage that the battery is unusual to evolve into the conflagration and carries out isolated oxygen in advance and cooling, effectively avoids the conflagration to enlarge or take place the explosion.
Preferably, the acquiring fire pre-judging parameter data at the current moment includes:
inputting and storing a first fire probability curve for representing the association relationship between the battery charge and discharge data and the fire occurrence probability;
during a first state interval, acquiring fire hazard pre-judging parameter data at a first set sampling frequency;
and in the second to fifth state intervals, acquiring fire pre-judging parameter data fire pre-judging parameters at a second set sampling frequency.
By adopting the technical scheme, the sampling frequency is improved in a state interval with higher fire occurrence probability, and the fire parameter data is sampled in real time to obtain the fire prejudgement parameter data at the current moment.
Preferably, adjusting the action state of each execution component according to the association relation includes:
invoking an association relation between the state interval data stored in the data storage unit and the working state of the execution component;
and outputting different control signals to each execution assembly to control the working state of the execution assembly.
By adopting the technical scheme, different control signals are output according to the output state interval data, and the execution assembly executes different fire-fighting measures to pertinently control the development of the battery fire.
Compared with the prior art, the beneficial effects of the application are as follows:
(1) The monitoring terminal is used for converting the acquired fire hidden danger into data, the abnormality degree is judged according to a set algorithm, the state interval is divided, the execution unit calls the state interval stored in the data storage unit and the working state of the corresponding execution assembly, the work of the execution assembly is controlled pertinently, and the occurrence of fire is effectively avoided or the development of fire is restrained;
(2) The signals representing each stage of the fire in the battery energy storage room are dataized, and accurate prevention or fire extinguishing operation is formulated, so that the occurrence probability of the fire and the spreading trend after the fire are effectively reduced, and the personal and property safety of people is protected;
(3) The method has the advantages that the current more accurate relation curve between the battery charge and discharge data and the fire probability is generated by adjusting the sampling frequency, the fire possibly occurring is monitored timely and accurately, the relation between the battery charge and discharge data and the fire probability is continuously updated through the curve fitting module and the automatic updating module, the more personalized association curve which is suitable for the current energy storage chamber is generated, the current fire occurrence probability can be accurately judged, and the fire is accurately prevented and controlled.
Drawings
FIG. 1 is an overall schematic of the present application;
FIG. 2 is a schematic diagram of a data acquisition unit of the present application;
FIG. 3 is a schematic diagram of a data processing unit of the present application;
FIG. 4 is a schematic diagram of an execution unit of the present application;
fig. 5 is a schematic flow chart of the method of the present application.
Reference numerals: 1. a data acquisition unit; 11. a fire pre-judgment parameter integration component; 12. a charge-discharge parameter integration component; 13. monitoring a terminal; 2. a data processing unit; 21. a curve fitting module; 22. an automatic updating module; 3. a data storage unit; 4. an execution unit; 41. a charge adjustment assembly; 42. an active adjustment assembly; 43. a fire fighting assembly; 44. a sampling frequency adjustment assembly; 45. and a remote early warning module.
Detailed Description
The present application will be described in further detail with reference to examples and drawings, but embodiments of the present application are not limited thereto.
The fire protection system for the battery energy storage room comprises a data acquisition unit 1 for acquiring fire pre-judging parameters, a data processing unit 2 for judging the abnormal degree of the fire pre-judging parameters and dividing state intervals for the battery state according to the abnormal degree, a data storage unit 3 for storing data and related algorithms, and an execution unit 4 for executing corresponding actions according to the judging result of the state intervals where the battery state is located, as shown in fig. 1. The data acquisition unit 1 acquires fire pre-judging parameter data and outputs the fire pre-judging parameter data to the data processing unit 2, the data processing unit 2 calls related data and algorithms stored in the data storage unit 3 to judge the current state interval of the battery according to the fire pre-judging parameter data, the state interval data is output to the execution unit 4, and the execution unit 4 controls different execution components to perform corresponding fire extinguishing measures according to the state interval of the battery.
As shown in fig. 2, the data acquisition unit 1 includes a fire pre-judgment parameter integration component 11, acquires fire pre-judgment parameter data in real time, and outputs the fire pre-judgment parameter data to the data processing unit 2, and is connected with a plurality of monitoring terminals 13 arranged inside the battery pack and in the battery energy storage chamber.
The plurality of monitoring terminals 13 disposed inside the battery pack and in the battery storage chamber include: and the infrared temperature sensor is arranged in the battery energy storage chamber, and the detection head of the infrared temperature sensor faces the battery rack in the energy storage chamber, so that the integral temperature change on the battery rack can be conveniently detected. The battery pack temperature sensor comprises a battery pack, a shell, a battery cell, a temperature sensor controller and a controller.
In this embodiment of the present application, the monitoring terminal 13 further includes: the pressure sensor arranged in each battery pack is arranged between the battery pack shell and the battery cell, and when the battery cell in the battery pack heats seriously, the expansion can occur, and the pressure in the battery pack shell can change at the moment so as to be detected by the pressure sensor.
The temperature and pressure are only preferable fire prediction parameters in the embodiment of the present application, and in other embodiments, parameters that can predict the probability of occurrence of a fire, such as smoke concentration and specific gas concentration, may be selected.
By integrating various signals representing the occurrence probability of the fire disaster such as temperature, pressure and the like into the fire disaster pre-judging parameter signals, the accuracy of the fire disaster pre-judging parameter data is improved, the state interval where the battery is positioned is conveniently and accurately defined, the probability of resource waste caused by false alarm fire disaster is reduced, and the probability of serious consequences caused by false alarm fire disaster is also reduced.
In this embodiment of the present application, the fire pre-judging parameter integrating component 11 includes a data pre-processor, is connected with the infrared temperature sensor, the contact temperature sensor and the pressure sensor by signals, and is configured to at least include a sampling module, an analog-to-digital conversion module and a signal data output module, where the sampling module collects analog signals representing the temperature and the pressure collected by each sensor by a set frequency, the analog-to-digital conversion module converts the analog signals into digital signals with a set format, and the signal data output module receives the digital signals and outputs the digital signals to the data processing unit 2, so that the data processing unit 2 is convenient for relevant data processing.
In addition to acquiring temperature and pressure data of the battery pack, the data acquisition unit 1 further includes a charge and discharge parameter integration component 12, as shown in fig. 2, in data connection with a battery charge and discharge management system configured in the energy storage chamber, and configured to acquire battery charge and discharge data, such as current battery power and other data, in real time and output the data to the data processing unit 2.
The fire development of the battery has a stepwise characteristic change, namely a plurality of stages of temperature rise, thermal runaway, gas leakage, open fire occurrence and explosion occurrence. In the embodiment of the application, the state of the battery is divided into a first state interval, namely a normal temperature rise phase, a second state interval, namely an abnormal temperature rise phase, a third state interval, namely a thermal runaway phase, a fourth state interval, namely a gas leakage phase, and a fifth state interval, namely a fire disaster phase, namely five state intervals, so that the fire extinguishing operation can be performed in a targeted manner.
The data storage unit 3 is configured as a RAM memory chip, and is suitable for scenes requiring data stability, such as fire protection monitoring, wherein the association relation between each state interval and the battery fire pre-judging parameter data, the battery charge and discharge rate required by each state interval and the algorithm for dividing the state interval are stored, so that the state interval where the current battery is can be judged by combining the current battery charge and discharge rate and the battery fire pre-judging parameter data.
The data storage unit 3 further stores a first fire probability curve data table for reflecting the association relationship between the battery charge and discharge data and the fire occurrence probability, the x-axis of the curve reflects the battery electric quantity, the y-axis reflects the battery fire occurrence probability, and the battery fire occurrence probability is represented by a battery fire pre-judgment parameter, so that the corresponding theoretical electric quantity and theoretical fire probability can be deduced through the battery fire pre-judgment parameter data.
As shown in fig. 3, the data processing unit 2 is configured as a single chip microcomputer chip, receives the battery temperature data, the battery pressure data and the battery power data obtained and preprocessed by the data obtaining unit 1, and invokes an algorithm stored in the storage chip and used for dividing a state interval. Judging whether the current battery is abnormal or not and in which state interval of fire development according to the algorithm, and outputting state interval data of the current battery, namely characteristic values used for representing states such as a first state and a second state.
As shown in fig. 3 and in combination with fig. 2, a curve fitting module 21 is disposed in the data processing unit 2, and includes a curve fitting algorithm stored in a single chip register or an external memory chip, and is connected with the data output ends of the charge-discharge parameter integrating component 12 and the fire hazard pre-judging parameter integrating component 11, after receiving the obtained battery charge-discharge data and the battery fire hazard pre-judging parameter, a second fire hazard probability curve is generated by the current electric quantity and the current temperature, pressure and other data according to the curve fitting algorithm, and in general, when the battery electric quantity is charged to 90-95%, the battery is prone to fire hazard, the temperature approaches to a dangerous threshold, and by comparing the second fire hazard probability curve with the first fire hazard probability curve stored in the data memory unit 3, that is, the current electric quantity, temperature, pressure and other signals are compared with the electric quantity, temperature, pressure and other signals when the fire hazard occurs, the probability of the current fire hazard can be judged.
In the embodiment of the application, the curve fitting adopts a least square method for fitting, the method is simple and convenient to operate, and in order to increase the fitting precision, the method of RBF (RadialBasisFunction) -based curve fitting and cubic spline curve fitting can be adopted.
The data processing unit 2 is further provided with an automatic updating module 22, and is in data connection with the curve fitting module 21 and the data storage unit 3, so that the second fire probability curve is received and stored in the data storage unit 3 to cover the first fire probability curve, and after repeated operation, a more personalized fire probability curve for each battery pack is generated, thereby being beneficial to accurately judging the current occurrence probability of the fire and accurately preventing and controlling the fire.
The data processing unit 2 outputs probability determination data based on the fire probability curve and the received battery charge/discharge data. Further preferably, two parameters of temperature and time can be subjected to curve fitting, and compared with a curve of temperature change along with time in the battery charging process in big data, the trend of temperature rise can be roughly judged through the change of slopes at different sampling points, and whether the adopted measures can effectively cool the battery pack or not.
When fire protection measures such as temperature reduction only play a short-term inhibition effect but do not prevent a fire disaster from happening, the temperature can be reduced temporarily and then is heated up rapidly, the temperature rising slope can be increased rapidly at the moment, a state interval signal can be output in advance according to the abrupt change of the slope when the temperature does not reach a judging reference value, the next stage of the battery fire disaster is prompted to enter, and the current fire protection measures are invalid, so that the next fire protection measures are carried out in advance, and the serious consequences of further development and even explosion of the battery fire disaster are effectively reduced.
Aiming at the problem that the fire pre-judging parameters are suddenly changed, the execution unit 4 is provided with a sampling frequency adjusting component 44, receives and responds to the probability judging data, is in signal connection with the monitoring terminal 13, outputs a control signal to improve the sampling frequency of the sampling module to the output signal of the monitoring terminal 13 when the probability judging data with higher fire occurrence probability is received or when the probability judging data is close to high-risk electric quantity, obtains more sampling points, avoids missing early symptoms of battery fire caused by sudden change points of the fire pre-judging parameters, starts fire protection measures as much as possible in the initial stage of fire occurrence, and avoids the development and the spread of the fire.
As shown in fig. 4, the execution unit 4 is in data connection with the data processing unit 2 and the data storage unit 3, and includes a charging adjustment assembly 41, an active adjustment assembly 42, a fire extinguishing assembly 43 and a remote pre-warning module 45.
The charge adjusting component 41 is configured as an existing adjusting component in the battery charge and discharge management system, and is in data connection with the data processing unit 2, and is used for adjusting the charge and discharge states of the battery.
The active adjustment component 42 is used to adjust battery fire prediction parameters, such as the temperature in the battery storage chamber, the temperature of the battery pack, etc. The active conditioning assembly 42 includes a first cooling pump in communication with the battery storage compartment, the first cooling pump in control connection with a first cooling control that receives and responds to the status interval data to adjust the cooling power of the first cooling pump to regulate the temperature within the battery storage compartment when the overall temperature is too high.
The active adjusting component 42 further comprises a cooling tube, the cooling tube surrounds and/or is arranged in a penetrating manner in the battery pack, in this embodiment, the cooling tube is arranged in a penetrating manner in a position of each battery pack close to the battery core, the refrigerant circulating in the cooling tube is configured to be flame-retardant gas, such as nitrogen, argon, carbon dioxide or a combination thereof, and when the cooling tube is damaged due to expansion and extrusion of the battery, the leaked refrigerant can also play a role in fire extinguishment and flame retardance to a certain extent.
The cooling pipe is communicated with a second cooling pump, and the refrigerating power of the cooling pipe is regulated by regulating the circulation speed of the refrigerant in the cooling pipe and the self cooling power. The quantity of second cooling pump is provided with a plurality of, is linked together with the cooling tube in different regions on the battery rack respectively, can play the effect of regional regulation. When the normal temperature rise of the battery does not have the fire risk, the local battery pack heats and only adjusts the refrigeration power of the local cooling pipe, so that the effect of saving energy is achieved.
The plurality of second cooling pumps are in signal connection with a second cooling control member, which is in data connection with the data processing unit 2, receives and responds to the state interval data, and adjusts the cooling power of the second cooling pumps to adjust the temperature in the single battery pack.
The fire-fighting assembly 43 comprises various fire-fighting extinguishers arranged in the battery energy storage chamber, and in the embodiment of the application, the fire-fighting assembly comprises a perfluorinated hexanone fire-extinguishing device, has the advantages of green environmental protection and high efficiency and cleanliness, and further comprises a water mist fire extinguisher, a heptafluoropropane fire extinguisher and the like. The fire-extinguishing assembly 43 further comprises a fire-extinguishing control member which is in data connection with the data processing unit 2, receives and responds to the state interval data, controls the working states of various fire-extinguishing extinguishers, and controls different types of fire extinguishers to extinguish fire in different fire phases, such as a perfluorinated hexanone fire extinguishing device with better fire extinguishing effect on battery fire in open fire phases, and a water mist fire extinguisher in deflagration phases, so that the combustion of other combustible materials in the energy storage cabinet is prevented, and further expansion of fire is avoided.
The remote early warning module 45 includes a data conversion module and a communication module, where the data conversion module is in data connection with the data processing unit 2, receives the state interval data, converts the state interval data into a set format and outputs the set format, and the communication module is configured as a WIFI/bluetooth/GPRS/4G communication module, in this embodiment, configured as a WIFI communication module, is in data connection with the data conversion module, receives the state interval data and outputs the state interval data to a set communication terminal, and is configured as a mobile terminal such as a mobile phone. The data and signals of each stage of the fire disaster are synchronously transmitted to the mobile phones of the staff through the communication module, so that the workload of checking fire disaster hidden danger by the staff is reduced, the staff can directly monitor the state of the battery energy storage chamber on the mobile phones remotely, the fire disaster which possibly occurs is warned and prompted in time, the staff can evacuate in time, and the personal and property safety of people is protected.
Based on the fire protection system, the application also provides a fire early warning method, as shown in fig. 5, comprising the following steps:
A. and establishing and storing the corresponding relation between each fire pre-judging parameter data and the state interval.
The fire pre-judging parameter data comprises battery pack internal temperature data, battery pack internal pressure data and energy storage chamber internal temperature data, and establishes and stores the corresponding relation between each fire pre-judging parameter data and a state interval, and the method comprises the following steps: and establishing a prejudgment algorithm for integrating and converting various fire prejudgment parameter data into fire occurrence prejudgment values, setting a basic reference value for dividing different state intervals, combining the basic reference value and the prejudgment value to obtain the corresponding relation between the fire prejudgment parameter data and the state intervals, and storing the corresponding relation.
B. And establishing an association relation between the state interval and the action state of each execution component in the execution unit 4.
The corresponding relation between each fire pre-judging parameter data and the state interval comprises the following steps: when the fire pre-judging parameter data reach a first reference parameter value, the battery is positioned in a first state interval; when the fire pre-judging parameter data reach a second reference parameter value, the battery is positioned in a second state interval; when the fire pre-judging parameter data reach a third reference parameter value, the battery is positioned in a third state interval; when the fire pre-judging parameter data reach a fourth reference parameter value, the battery is positioned in a fourth state interval; when the fire pre-judging parameter data reaches the fifth reference parameter value, the battery is positioned in a fifth state interval.
The association relationship between the state interval and the action state of each execution component in the execution unit 4 includes: when the battery is in the first state interval, the active adjusting component 42 and the charging adjusting component 41 operate at the first working power, when the battery is in the second state interval, the active adjusting component 42 and the charging adjusting component 41 operate at the second working power, and when the battery is in the third state interval, the active adjusting component 42 and the charging adjusting component 41 operate at the third working power; when the battery is in the fourth state interval, the fire extinguishing assembly 43 begins to operate; when the battery is in the fifth state interval, the fire suppression assembly 43 continues to operate.
C. And acquiring fire pre-judging parameter data at the current moment, and determining the current state interval.
The acquiring of fire pre-judging parameter data at the current moment comprises the following steps: inputting and storing a first fire probability curve for representing the association relationship between the battery charge and discharge data and the fire occurrence probability; during a first state interval, acquiring fire hazard pre-judging parameter data at a first set sampling frequency; and in the second to fifth state intervals, acquiring fire pre-judging parameter data fire pre-judging parameters at a second set sampling frequency.
D. And adjusting the action state of each execution component according to the association relation based on the state interval of the battery at the current moment.
The adjusting the action state of each execution component according to the association relation comprises the following steps: and calling the association relation between the state interval data stored in the data storage unit 3 and the working states of the execution components, and outputting different control signals to each execution component to control the working states of the execution components.
The above is only one implementation sequence of the fire disaster early warning method, and different effects can be obtained by increasing, decreasing and arranging the steps, and the method is within the protection scope of the application.
The above description is only a preferred embodiment of the present application, and the protection scope of the present application is not limited to the above examples, and all technical solutions belonging to the concept of the present application belong to the protection scope of the present application. It should be noted that modifications and adaptations to those skilled in the art without departing from the principles of the present application are intended to be comprehended within the scope of the present application.
Claims (14)
1. A fire protection system for a battery energy storage compartment, comprising:
the data acquisition unit (1) comprises a fire disaster pre-judging parameter integration component (11) and a monitoring terminal (13) which is connected with the fire disaster pre-judging parameter integration component in a data manner and is arranged in the battery and the energy storage chamber, and acquires and outputs the fire disaster pre-judging parameter data of the battery in real time;
The data processing unit (2) is in data connection with the data acquisition unit (1), receives and based on the fire pre-judging parameter data, judges the abnormal degree of the battery parameter according to a set algorithm, divides the state interval, and outputs the state interval data of the current battery;
the data storage unit (3) is used for loading and storing the state interval data and the matched battery charge and discharge rate, battery fire pre-judging parameters and the working state data of the fire extinguishing assembly (43);
the execution unit (4) is in data connection with the data processing unit (2) and the data storage unit (3), and comprises a charging adjusting component (41) for adjusting the charging and discharging states of the battery, an active adjusting component (42) for adjusting fire pre-judging parameters of the battery, and a fire extinguishing component (43) for controlling the fire spreading degree of each stage of fire, and is used for receiving and responding to the state interval data, adjusting the charging and discharging rate of the battery, adjusting the fire pre-judging parameters of the battery and controlling the working state of the fire extinguishing component (43).
2. The fire protection system for a battery energy storage compartment of claim 1, wherein the fire pre-judgment parameter data comprises battery temperature data;
the monitoring terminal (13) comprises a contact type temperature sensor arranged in the battery pack and an infrared temperature sensor arranged in the energy storage chamber;
The fire hazard pre-judging parameter integrating component (11) comprises a data integrating module which is used for receiving data and converting the data into output, is connected with the contact type temperature sensor and the infrared temperature sensor through signals, receives temperature signals inside and outside the battery pack, converts the temperature signals into a set data format and then outputs the set data format.
3. The fire protection system for a battery energy storage compartment of claim 2, wherein the fire pre-judgment parameter data further comprises battery pressure data;
the monitoring terminal (13) further comprises a pressure sensor arranged in the battery pack;
and the pressure sensor is in signal connection with the data integration module and detects and outputs a pressure signal in the battery pack.
4. The fire protection system for a battery energy storage room according to claim 1, wherein the data acquisition unit (1) further comprises a charge and discharge parameter integration component (12) configured to be in data connection with a battery charge and discharge management system for acquiring and outputting battery charge and discharge data in real time;
the data storage unit (3) is also stored with a first fire probability curve for reflecting the association relationship between the battery charge and discharge data and the fire occurrence probability;
the data processing unit (2) receives the battery charge and discharge data, judges the probability of battery fire occurrence according to the first fire probability curve, and outputs probability judgment data;
The execution unit (4) further comprises a sampling frequency control component for adjusting the sampling frequency of the monitoring terminal (13), which receives and adjusts the sampling frequency of the monitoring terminal (13) in response to the probability decision data.
5. The fire protection system for a battery energy storage room according to claim 4, wherein the data processing unit (2) is configured with:
the curve fitting module (21) is in data connection with the charge and discharge parameter integrating component (12) and the fire hazard pre-judging parameter integrating component (11) to acquire the charge and discharge data of the battery and the fire hazard pre-judging parameter data, and generates a second fire hazard probability curve for reflecting the association relationship between the charge and discharge data of the battery and the fire hazard occurrence probability according to a set fitting algorithm;
an automatic updating module (22) configured to be in data connection with the curve fitting module (21) and the data storage unit (3), to receive the second fire probability curve and to store it to the data storage unit (3) for updating the first fire probability curve.
6. The fire protection system for a battery compartment of claim 1 wherein the active adjustment assembly (42) includes a first cooling pump and a first cooling control disposed in communication with the battery compartment, the cooling power of the first cooling pump being received and adjusted in response to the status interval data to adjust the temperature within the battery compartment.
7. The fire protection system for a battery energy storage compartment of claim 4, wherein the active adjustment assembly (42) further comprises:
the cooling pipe is arranged around and/or penetrating the battery pack;
the second cooling pump is communicated with the cooling pipe and used for adjusting the refrigerating power of the refrigerant in the cooling pipe;
and a second cooling control part which is in data connection with the data processing unit (2) and is used for receiving and responding to the state interval data and adjusting the cooling power of the second cooling pump so as to adjust the temperature in the single battery pack.
8. The fire protection system for a battery energy storage compartment of claim 6, wherein the fire protection and extinguishing assembly (43) comprises:
the fire-fighting device is configured into various fire extinguishers and is arranged in the battery energy storage chamber;
and the fire-fighting control part is in data connection with the data processing unit (2), receives and responds to the state interval data, and controls the working states of various fire extinguishers.
9. Fire protection system for battery energy storage compartments according to claim 1, characterized in that the execution unit (4) further comprises a remote pre-warning module (45) comprising:
the data conversion module is in data connection with the data processing unit (2), receives the state interval data, converts the state interval data into a set format and outputs the state interval data;
The communication module is configured as a WIFI/Bluetooth/GPRS/4G communication module, is in data connection with the data conversion module, receives the state interval data and outputs the state interval data to the set communication terminal.
10. A fire early warning method, characterized in that the early warning fire protection system for the battery energy storage room according to any one of claims 1-9 comprises the following steps:
establishing and storing the corresponding relation between each fire pre-judging parameter data and the state interval;
establishing an association relationship between a state interval and the action state of each execution component in the execution unit (4);
acquiring fire pre-judging parameter data at the current moment, and determining a current state interval;
and adjusting the action state of each execution component according to the association relation based on the state interval of the battery at the current moment.
11. The fire early-warning method according to claim 10, wherein the fire pre-judgment parameter data includes battery pack internal temperature data, battery pack internal pressure data, and energy storage chamber internal temperature data;
the establishing and storing the corresponding relation between each fire pre-judging parameter data and the state interval comprises the following steps:
establishing a prejudgment algorithm for integrating and converting various fire prejudgment parameter data into a fire occurrence prejudgment value;
Setting a base reference value for dividing different state intervals;
and combining the datum reference value and the prejudging value to obtain the corresponding relation between the fire prejudging parameter data and the state interval, and storing the corresponding relation.
12. The fire early-warning method according to claim 11, wherein the correspondence between each fire pre-judgment parameter data and the status section includes:
when the fire pre-judging parameter data reach a first reference parameter value, the battery is positioned in a first state interval;
when the fire pre-judging parameter data reach a second reference parameter value, the battery is positioned in a second state interval;
when the fire pre-judging parameter data reach a third reference parameter value, the battery is positioned in a third state interval;
when the fire pre-judging parameter data reach a fourth reference parameter value, the battery is positioned in a fourth state interval;
when the fire pre-judging parameter data reach a fifth reference parameter value, the battery is positioned in a fifth state interval;
the association relationship between the state interval and the action state of each execution component in the execution unit (4) comprises the following steps:
when the battery is located in a first state interval, the active adjusting component (42) and the charging adjusting component (41) operate at a first working power;
when the battery is located in the second state interval, the active adjusting component (42) and the charging adjusting component (41) operate at a second working power;
When the battery is located in the third state interval, the active adjusting component (42) and the charging adjusting component (41) operate at third working power;
when the battery is located in the fourth state interval, the fire-fighting assembly (43) starts to work;
when the battery is in the fifth state interval, the fire-fighting assembly (43) continuously works.
13. The fire early-warning method according to claim 12, wherein acquiring fire prejudgement parameter data at the present moment includes:
inputting and storing a first fire probability curve for representing the association relationship between the battery charge and discharge data and the fire occurrence probability;
during a first state interval, acquiring fire hazard pre-judging parameter data at a first set sampling frequency;
and in the second to fifth state intervals, acquiring fire pre-judging parameter data fire pre-judging parameters at a second set sampling frequency.
14. The fire early warning method of claim 12, wherein adjusting the respective actuation states of the execution components according to the association relationship comprises:
invoking an association relationship between the state interval data stored in the data storage unit (3) and the working state of the execution component;
and outputting different control signals to each execution assembly to control the working state of the execution assembly.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117398635A (en) * | 2023-12-15 | 2024-01-16 | 万真消防技术(广东)有限公司 | Fire safety protection method and device based on energy storage container and storage medium |
| CN117563184A (en) * | 2024-01-15 | 2024-02-20 | 东营昆宇电源科技有限公司 | Energy storage fire control system based on thing networking |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117398635A (en) * | 2023-12-15 | 2024-01-16 | 万真消防技术(广东)有限公司 | Fire safety protection method and device based on energy storage container and storage medium |
| CN117398635B (en) * | 2023-12-15 | 2024-03-19 | 万真消防技术(广东)有限公司 | Fire safety protection method and device based on energy storage container and storage medium |
| CN117563184A (en) * | 2024-01-15 | 2024-02-20 | 东营昆宇电源科技有限公司 | Energy storage fire control system based on thing networking |
| CN117563184B (en) * | 2024-01-15 | 2024-03-22 | 东营昆宇电源科技有限公司 | Energy storage fire control system based on thing networking |
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