CN111260875A - Fire early warning method and system for valve-controlled lead-acid battery and fault battery positioning device - Google Patents
Fire early warning method and system for valve-controlled lead-acid battery and fault battery positioning device Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
- G08B17/117—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means by using a detection device for specific gases, e.g. combustion products, produced by the fire
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/06—Lead-acid accumulators
- H01M10/12—Construction or manufacture
- H01M10/121—Valve regulated lead acid batteries [VRLA]
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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Abstract
The invention discloses a valve-controlled lead-acid battery fire early warning method, a system and a fault battery positioning device, wherein the method sends out first-level, second-level and third-level fire early warning signals according to different gas types and gas concentrations escaped from a lead-acid battery during working; a backup protection mechanism is introduced, and gas production time is used as a backup criterion to ensure that an early warning signal is timely and accurately sent out; after a certain time, according to H2The content level re-determines the current alarm level. In addition, the fault battery positioning device provided by the invention can be used according to H2The fluctuation condition of the concentration can quickly and accurately judge the area where the fault battery is located. The invention can effectively lift the fire of the valve-regulated lead-acid batteryThe disaster warning accuracy is achieved, and the fault positioning is achieved in the shortest time.
Description
Technical Field
The invention relates to an energy storage safety control technology, in particular to a fire early warning method and an early warning system for a valve-controlled lead-acid battery and a fault battery positioning device.
Background
The battery energy storage system can improve the utilization efficiency of the power equipment, reduce the power consumption cost, adjust the frequency and compensate the fluctuation of the load so as to improve the running stability of the power system. The lead-acid battery energy storage system is widely applied to power grid energy storage due to mature technology, low cost and easy maintenance. However, the lead-acid battery is easy to have problems of overcharge and the like due to large voltage fluctuation in the operation of a power grid, so that thermal runaway is caused, and serious safety accidents are caused. Therefore, an early warning method is needed to monitor the running state of the lead-acid battery, and the safe running of the battery energy storage system is guaranteed.
The steps for realizing the safety early warning of the battery can be divided into three steps: firstly, the operation data of the battery is monitored, the process is the process description and record of the operation state of the battery, and the monitored data generally comprises the voltage, the current, the internal resistance, the internal and external temperature and the like of the battery. Secondly, the collected data are processed, such as calculating the SOC and SOH of the battery according to the measured data. And finally, setting a safety value according to different data objects, and giving an alarm when the monitoring data is greater than the safety value. The early warning mode firstly needs to set a complex monitoring module to accurately acquire battery operation data, the precision of the early warning mode is easily influenced by the temperature and the humidity of the environment, secondly needs to set a communication mode to realize remote processing and real-time control on the acquired data, and the process is also complex. Finally, the voltage, the current, the internal resistance and the like fluctuate under certain working conditions, and are restored to be stable in a short time, so that the false alarm of the alarm system is easily caused.
Because the existing early warning scheme has the problems of complex design, low accuracy, possibility of false alarm and the like, the fire alarm reliability of the battery system needs to be further improved.
Disclosure of Invention
The purpose of the invention is as follows: in order to solve the problems, the invention provides a fire early warning method and an early warning system of a valve-controlled lead-acid battery based on composite gas detection, which can realize quick early warning in the abnormal charging state of the lead-acid battery and accurately reflect the danger level of the abnormal state of the battery.
Another object of the present invention is to provide a faulty battery positioning device based on gas detection, which can realize quick positioning of an abnormal battery.
The technical scheme is as follows: according to a first aspect of the invention, a fire early warning method for a valve-regulated lead-acid battery is provided, the method comprising:
acquiring the types and the concentrations of various gases generated in an energy storage cabin within a set sampling time interval;
and determining the alarm level and sending out a fire early warning signal of a corresponding level according to the types and the concentrations of the various gases.
Further, the analyzing and judging the gas data and determining the alarm level includes: the early warning grade is divided into three grades, each grade corresponds to a dangerous state of the battery, the higher the grade number is, the more dangerous the current state is, and specifically, when the detected gas type only contains H2When the battery is in an overcharged water loss state, a first-level alarm is carried out; when gas species other than H are detected2In addition, SO2Or when CO is generated, the battery is in a temperature rise state and a thermal runaway state is gradually generated, and secondary warning is performed; and when the detected gas type is hydrocarbon gas except the gas corresponding to the second-level alarm, and the concentration of the hydrocarbon gas is in an ascending trend at the adjacent sampling interval, performing third-level alarm.
Further, the method for judging that the hydrocarbon gas concentration is in an ascending trend at adjacent sampling intervals comprises the following steps: the product of the hydrocarbon gas concentration changes in adjacent sampling intervals is greater than zero, and the formula is as follows: delta CE1×ΔCE2>0, wherein Δ CE1Is T1Change in hydrocarbon gas concentration over time, i.e. T1concentration-T at the time of termination1Initial time concentration,. DELTA.CE2Is T2Change in hydrocarbon gas concentration over time, i.e. T2concentration-T at the time of termination2Starting time concentration.
Furthermore, a 'backup protection' mechanism is introduced into the method, a timer is combined with the characteristic gas to make early warning grade response, the danger degree of accidents of the electrochemical device is generally in positive correlation with time, the time is used as backup protection, some accidental factors such as sensor faults and the fact that the characteristic gas is not detected can be eliminated, the correct response of the early warning grade is ensured, and particularly, when only H is detected2When the time is greater than the first time threshold t1, a secondary alarm is given; when the time t of the timer is greater than the second time threshold t2, a three-level alarm is performed.
Further, the method further comprises: according to detected H2Concentration adjustmentAlarm level, when H2The concentration is decreased from high to low, and when the concentration is maintained for more than a certain time after the concentration is decreased to the set specific concentration, the alarm level is decreased.
According to a second aspect of the present invention, there is provided a valve-regulated lead-acid battery fire warning system, comprising:
the gas detection device is used for acquiring the types and the concentrations of various gases generated in the energy storage cabin within a set sampling time interval;
and the data processing and early warning device is used for determining the warning level and sending out a fire early warning signal of the corresponding level according to the types and the concentrations of the various gases.
Further, the data processing and early warning device analyzes and judges the gas data, and the determining of the warning level comprises: when the gas species detected contains only H2When the battery is in an overcharged water loss state, a first-level alarm is carried out; when gas species other than H are detected2In addition, SO2Or when CO is generated, the battery is in a temperature rise state and a thermal runaway state is gradually generated, and secondary warning is performed; and when the detected gas type comprises hydrocarbon gas besides the gas corresponding to the secondary alarm, and the concentration of the hydrocarbon gas is in an ascending trend at the adjacent sampling interval, performing a tertiary alarm.
According to a third aspect of the present invention, there is provided a faulty battery locating device, comprising a gas concentration acquisition unit, a data processing unit and a display unit,
the gas concentration acquisition unit comprises a plurality of gas detection devices arranged around the battery module and is used for acquiring H in real time2The concentration is uploaded to a data processing unit;
the data processing unit is used for calculating H uploaded by each gas detection unit within a certain time2The intensity of concentration fluctuation is detected by a gas detection device2The position with the most sensitive concentration fluctuation response is judged as the area where the fault battery is located, and an output signal is sent to a display unit;
and the display unit is used for sending out indication information according to the output signal and displaying the position of the fault battery.
Further, the data processing unit performs the calculation and judgment processes as follows:
according to the data uploaded by each gas detection device, the input gas concentration is sampled at intervals of sampling time T, and H in each time interval is calculated2The change in concentration, Δ C, in the first time intervalH1The concentration change in the second time interval is Δ CH2Sampling n times to obtain n concentration changes Delta CH1…ΔCHn；
Comparing the two adjacent concentration differences multiplied by 0, if the times less than 0 are more than 0.9n, H is shown2The concentration fluctuation is severe, which indicates that the gas detection device at the position is close to the fault battery, or the gas detection device with the frequency less than 0 is selected most, and the gas detection device is considered to be closest to the fault battery, and the fault battery is positioned through the position of the screened gas detection device.
Has the advantages that: the invention provides a composite gas detection-based fire early warning method and a fault battery positioning device for a valve-regulated lead-acid battery, which can realize fault judgment and early warning in an abnormal charging state by using a gas sensor and simple operation according to the internal chemical reaction principle of the valve-regulated lead-acid battery, reduce the early warning complexity, shorten the early warning response time, help operation and maintenance personnel to quickly and accurately judge the danger level and the position of the fault battery through concentration change and strive for precious time for the abnormal disposal of an energy storage power station.
Drawings
Fig. 1 is a general flowchart of a fire warning method for a valve-regulated lead-acid battery according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an early warning structure according to composite gas detection according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an installation position of a gas early warning detection device according to an embodiment of the invention;
fig. 4 is a schematic structural diagram of a faulty battery positioning device based on gas detection according to an embodiment of the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings.
The basic idea of the invention is that according to different stages of valve-regulated lead-acid battery overcharge, different characteristic gases are produced to send out early warning signals; and judging the area of the fault battery according to the sensitivity of the gas detection device to gas production fluctuation.
Example 1
The embodiment provides a fire early warning system of a valve-regulated lead-acid battery and a corresponding early warning method, as shown in fig. 1, the method comprises the following steps: collecting the types, concentration changes and generation time of various gases generated by the battery module by using a gas detection device; the data processing and early warning device respectively processes the acquired data, and the processing result is used for responding to different warning levels.
It should be noted that the abnormal charging state of the battery is divided into three stages, including: an overcharge and water loss stage, a temperature rise and gradual thermal runaway stage, a battery high temperature to thermal runaway stage and an energy storage cabin gas accumulation stage. Furthermore, different stages of abnormal charging are always accompanied by the appearance of characteristic gas, so that the invention presets three fire early warning levels, a first-stage early warning, a second-stage early warning and a third-stage early warning, which respectively correspond to three stages of abnormal states of the battery, wherein the early warning at each stage has the following meanings:
primary early warning: and in the first stage, the battery is in an overcharged water-loss state. At this stage, H2The content rapidly rises in a short time, and the signal lamp is blue.
Secondary early warning: and in the second stage, the chemical reaction in the battery is violent, the gas production is greatly increased, and the battery gradually enters a thermal runaway state. In this stage, the characteristic gas is CO or SO2The signal lamp is yellow.
And (3) third-level early warning: and stage three, the battery is in a high-temperature and extremely dangerous state. At this stage, the characteristic gas is a hydrocarbon gas and the signal lamp is red.
Based on the analysis and setting, when the method is implemented, referring to fig. 2, firstly, a gas detection device is utilized to detect whether gas is generated in the energy storage cabin in real time, the information of the gas escaping from the battery, including the type, concentration and escaping time of the gas,these gases include, but are not limited to, H2、CO、SO2And the time interval T of the hydrocarbon gas collected in the embodiment is set to 10s, and the collected information is sent to a data processing and early warning device.
The data processing and early warning device processes the type signal of the escaping gas preferentially, if the escaping gas is monitored to be only H at a certain time2If yes, a first-level alarm is sent; if the detected gas is removed from H2In addition, contain SO2Or any one of the CO, sending a secondary alarm; if the detection gas also comprises hydrocarbon gas besides the above, and the change rate of the hydrocarbon gas concentration is more than 0 in a period of time, a three-level alarm is sent. It should be noted that hydrocarbon gas may be generated in the first and second stages of the abnormal charging process due to the influence of accidental factors, and in order to avoid the system false alarm caused by this, the three-stage alarm needs to be issued to satisfy two conditions: firstly, hydrocarbon gas is detected, and secondly, the product of the hydrocarbon gas concentration change in adjacent sampling intervals is larger than zero, namely delta CE1×ΔCE2>0, wherein Δ CE1Is a previous time interval T1Change of hydrocarbon gas concentration (T) over time1concentration-T at the time of termination1Initial time concentration), and Δ C is known by the same principleE2For a later time interval T2Change of hydrocarbon gas concentration (T) over time2concentration-T at the time of termination2Starting time concentration).
It should be noted that, assuming that the first sampling time is 2000s, the hydrocarbon gas concentration is CEaAt 2010s, the hydrocarbon gas concentration is CEbThen, is Δ CE1＝CEb-CEaRecording each sampling time as delta CE1、ΔCE2…ΔCEnN should not be too large, and is usually 2-3.
Furthermore, the data processing and early warning device can not only send out warning signals according to the data processing result, but also can be mutually converted, and the warning level can be adjusted according to the gas escape time and the concentration.
For alarm escalation, assume that at some point in time the gas detection device displays only H2Generating, sending out first-level alarm, and recording the timeAnd when t is equal to 0, generating a relative time t, and automatically upgrading the signal to a secondary alarm after the signal sending time is greater than a first time threshold t 1. After a period of time, when the signal sending time is greater than a second time threshold t2, the second-level alarm is automatically upgraded to the third-level alarm. In the embodiment, t1 is 50s, and t2 is 2000 s. This is due to the secondary alarm signature gases CO and SO2The concentration content is low, and the phenomenon that CO or SO escapes from the battery at a certain moment can occur2But the gas detection device does not detect it. As time goes on, the battery will enter the second stage from the first overcharge stage within a certain time, namely the abnormal charging state corresponds to the gas output time, so the value is H2If t is 0, the escape time is t>And 50s, upgrading the system into a secondary alarm. Similarly, when the system does not detect hydrocarbon gas due to incidental factors such as ventilation, H2Escape time t>After 2000s, the early warning device is automatically upgraded to a three-level warning. Note that the time module functions on the premise that the system can detect H at any moment2Is generated because only H is present2As a result, the operating state of the overcharge cell must deteriorate over a relatively fixed period of time. The time module mainly plays a role in backup security.
The above process realizes early warning of abnormal states of the battery, after the early warning is sent out, operation and maintenance personnel take different measures for the abnormal states of different levels, and the early warning device can start the detection device to detect H after a certain time interval2And (4) judging the current alarm level again according to the gas concentration.
For alarm degradation, when H is detected2The concentration is decreased from high to low, and when the concentration is maintained for more than a certain time after the concentration is decreased to the set specific concentration, the alarm level is decreased.
It is first of all clear that the battery is abnormally charged in the first stage H2The concentration is always in CaFluctuation below 200ppm, second stage H2At a concentration of CbA third stage H of fluctuation below 700ppm2At a concentration of CcAbout 800ppm fluctuation. Therefore, setting the three specific concentrations to 200ppm, 700ppm, 800ppm, respectively, will set H over time2Sampling concentration and specific concentrationAnd contrast comparison, namely, the corresponding interval is met, namely, the alarm level is reduced from the high alarm level to the low alarm level. Assuming that the current alarm state is three-level, the time variation H2The concentration is reduced from more than 800ppm to less than 700ppm, and the maintenance time is longer than 100s, the system is reduced from a third-level alarm to a second-level alarm; all the same reason as H2The concentration is reduced from 700ppm to below 200ppm and the maintenance time is more than 100s, the system is reduced from a secondary alarm to a primary alarm, and no H is detected2And then exits the alarm state.
For example, a three-level alarm signal is sent at a certain moment, and after the alarm signal is processed by operation and maintenance personnel, H2The concentration is reduced from 850ppm to 400ppm, and is more than 200ppm and less than 700ppm in the 10 sampling processes, the system is degraded into a secondary alarm.
The correlation operation formula is:
CH1～CH10respectively representing H of 10 samples2And (4) concentration.
And the operation formula for reducing the secondary alarm to the primary alarm is given in the same way:
in the formula Ca＝200ppm；Cb＝700ppm。
Example 2
The embodiment provides a trouble battery positioner based on gaseous detection, and the early warning sends the back, can make the judgement to the accident area fast accurately, can greatly reduce the time of troubleshooting fault location, and the judgement principle is that the valve control formula lead acid battery internal chemical reaction goes on in turn under the unusual charged state, and gaseous H of output in a certain time2The fluctuations are large, the closer the gas detection device is to the faulty cell, the more sensitive the response to the fluctuations, while the gas detected by the gas detection device at a greater distance is the result of a diffusive motion, generally manifested as a monotonic increase in gas concentration. As shown in FIG. 3, the battery modules 1, 2, 3 are grouped into a cluster and placed in the storageThe energy cabin has one side, the battery modules 4, 5 and 6 are arranged on the other side in a cluster, and the 6 gas detection devices are respectively arranged around the 6 battery modules.
Specifically, referring to fig. 4, the faulty battery locating device includes a gas concentration acquisition unit, a data processing unit, and a display unit. Wherein, the gas concentration acquisition unit acquires H to be acquired by the gas detection device2Recording and uploading the concentration to a data processing unit, and obtaining H by the data processing unit2And calculating the concentration, judging the area of the fault battery, converting the output signal into high and low levels, and sending the high and low levels to a display unit, wherein the display unit sends out an instruction according to the output signal.
For the data processing unit, a certain number of signal channels are arranged at the input end, the signal channels respectively correspond to the gas detection devices at different positions, and H acquired by 6 gas detection devices is detected2The concentration signal curve is transmitted; the data processing unit calculates H in 6T time periods by taking the time interval T as a cycle2The concentration difference is obtained by subtracting the concentration at the previous moment from the concentration at the later moment, and the calculation formula is as follows:
T1in the time period: delta CH1＝CHb-CHa；CHb、CHaH respectively representing the end time and the start time of the sampling time2And (4) concentration.
The whole sampling time is kept within 40s-200s, and the corresponding times are 4-20 times. Here exemplified as 6 samplings. Then multiplying the calculated concentration difference pairwise and comparing the concentration difference with zero, wherein the concentration difference is smaller than zero, which indicates that H is in two adjacent time periods T2The concentration trend is opposite, which shows that H2The more the concentration changes in the fluctuation, the more the concentration difference is less than zero, the more the gas concentration changes in the fluctuation in the whole sampling time period, which shows that the detection device well detects H2And in the real-time fluctuation condition of the concentration, the device is close to the fault battery. The correlation calculation formula is as follows (where?<Indicating whether the determination is true):
ΔCH1×ΔCH2？<0；
ΔCH2×ΔCH3？<0；
ΔCH3×ΔCH4？<0；
ΔCH4×ΔCH5？<0；
ΔCH5×ΔCH6？<0；
it should be noted that each gas detection device inputs a signal into the data processing unit, each input signal is subjected to the above calculation to determine the position of the gas detection device and the faulty battery, and finally, the signal channel with the largest number of fluctuations outputs a high level, which indicates that the signal lamp flickers, indicating that the battery near the gas detection device is most likely to be in an abnormal state.
Alternatively, for each gas detection device, n concentration changes Δ C are obtainedH1…ΔCHnThen, the data processing unit multiplies two adjacent concentration differences by 0 to compare, and if the times less than 0 are more than 0.9n, H is indicated2The concentration fluctuation is severe, which indicates that the gas detection device is close to the fault battery. At the moment, the data processing unit outputs signals under the detection channel, and the indication lamp of the display unit module corresponding to the channel flickers.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A fire early warning method for a valve-regulated lead-acid battery is characterized by comprising the following steps:
acquiring the types and the concentrations of various gases generated in an energy storage cabin within a set sampling time interval;
and determining the alarm level and sending out a fire early warning signal of a corresponding level according to the types and the concentrations of the various gases.
2. The valve-regulated lead-acid battery fire early warning method according to claim 1, wherein the determining the warning level according to the type and concentration of the various gases comprises:
when the gas species detected contains only H2When the battery is in an overcharged water loss state, a first-level alarm is carried out;
when the detected gas species is other than H2In addition, SO2Or when CO is generated, the battery is in a temperature rise state and a thermal runaway state is gradually generated, and secondary warning is performed;
and when the detected gas type comprises hydrocarbon gas besides the gas corresponding to the second-level alarm and the concentration of the hydrocarbon gas is in an ascending trend at the adjacent sampling interval, performing third-level alarm.
3. The valve-regulated lead-acid battery fire early warning method according to claim 2, wherein the method for judging that the hydrocarbon gas concentration is in an ascending trend at adjacent sampling intervals comprises the following steps: the product of the hydrocarbon gas concentration changes in adjacent sampling intervals is greater than zero, and the formula is as follows: delta CE1×ΔCE2>0, wherein Δ CE1Is T1Change in hydrocarbon gas concentration, Δ C, over a period of timeE2Is T2The hydrocarbon gas concentration changes over the time period.
4. The valve-regulated lead-acid battery fire early warning method of claim 2, further comprising: when only H is detected2When the time is greater than the first time threshold t1, a secondary alarm is given; when the time t of the timer is greater than the second time threshold t2, a three-level alarm is performed.
5. The valve-regulated lead-acid battery fire early warning method of claim 2, further comprising: according to detected H2The concentration adjustment alarm level is set when H2The concentration is decreased from high to low, and when the concentration is maintained for more than a certain time after the concentration is decreased to the set specific concentration, the alarm level is decreased.
6. The valve-regulated lead-acid battery fire warning method of claim 5, wherein the specific concentration comprises a first concentration Ca200ppm, second concentration Cb700ppm, third concentration Cc＝800ppm，
When H is2The concentration is reduced from high to low, and when the concentration is maintained for more than a certain time after the concentration is reduced to a set specific concentration, the alarm level is reduced, and the method comprises the following steps: if H is2The concentration is reduced from more than 800ppm to less than 700ppm and maintained for a certain time, and the third-level alarm is reduced to a second-level alarm; if H is2The concentration is reduced from 700ppm to below 200ppm and maintained for a certain time, and the concentration is reduced from a second-level alarm to a first-level alarm; if H is2The concentration is reduced from more than 800ppm to less than 200ppm and is maintained for more than a certain time, and the concentration is reduced from a third-level alarm to a first-level alarm; detected to have no H2And if the time is kept for exceeding a certain time, the alarm state is exited.
7. The utility model provides a valve regulated lead acid battery fire early warning system which characterized in that includes:
the gas detection device is used for acquiring the types and the concentrations of various gases generated in the energy storage cabin within a set sampling time interval;
and the data processing and early warning device is used for determining the warning level and sending out a fire early warning signal of the corresponding level according to the types and the concentrations of the various gases.
8. The valve-regulated lead-acid battery fire warning system of claim 7, wherein the determining an alarm level according to the type and concentration of the types of gases comprises: when the gas species detected contains only H2When the battery is in an overcharged water loss state, a first-level alarm is carried out; when the detected gas is removed from H2In addition, SO2Or CO, indicating electricityThe pool is in a temperature rise state and a thermal runaway state gradually occurs, and secondary warning is carried out; and when the detected gas type comprises hydrocarbon gas besides the gas corresponding to the second-level alarm and the concentration of the hydrocarbon gas is in an ascending trend at the adjacent sampling interval, performing third-level alarm.
9. A fault battery positioning device based on gas detection is characterized by comprising a gas concentration acquisition unit, a data processing unit and a display unit,
the gas concentration acquisition unit comprises a plurality of gas detection devices arranged around the battery module and is used for acquiring H in real time2The concentration is uploaded to a data processing unit;
the data processing unit is used for calculating the H uploaded by each gas detection device within a certain time2The intensity of concentration fluctuation is detected by a gas detection device2The position with the most sensitive concentration fluctuation response is judged as the area where the fault battery is located, and an output signal is sent to a display unit;
and the display unit is used for sending out indication information according to the output signal and displaying the position of the fault battery.
10. The faulty battery locating device according to claim 9, wherein the data processing unit performs the calculation and judgment as follows:
according to the data uploaded by each gas detection device, the input gas concentration is sampled at intervals of sampling time T, and H in each time interval is calculated2The change in concentration, Δ C, in the first time intervalH1The concentration change in the second time interval is Δ CH2Sampling n times to obtain n concentration changes Delta CH1…ΔCHn；
And (4) comparing the multiplied two adjacent concentration differences with 0, and taking the gas detection device with the most times less than 0 or the gas detection device with the times less than 0 and more than 0.9n to position the fault battery according to the position of the gas detection device.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112034359A (en) * | 2020-08-31 | 2020-12-04 | 郑州大学 | Lithium battery early safety early warning method and device based on hydrogen detection |
| CN112909360A (en) * | 2021-01-28 | 2021-06-04 | 国网江苏省电力有限公司经济技术研究院 | Polling extraction type container energy storage thermal runaway detection method and fire fighting device |
| CN113720965A (en) * | 2021-07-12 | 2021-11-30 | 威特龙消防安全集团股份公司 | System and method for judging thermal runaway of energy storage battery through gas detection and monitoring |
| CN113871732A (en) * | 2021-09-28 | 2021-12-31 | 泉州市圣能电源科技有限公司 | Intelligent lead-acid storage battery |
| CN115424423A (en) * | 2022-09-20 | 2022-12-02 | 中车株洲电力机车有限公司 | Battery thermal runaway warning method, equipment and storage medium |
| CN115719540A (en) * | 2022-10-17 | 2023-02-28 | 国网河北省电力有限公司电力科学研究院 | Fire alarm device and fire alarm method |
| WO2023097507A1 (en) * | 2021-11-30 | 2023-06-08 | 华为技术有限公司 | Battery safety early warning method and apparatus |
| EP4199181A4 (en) * | 2020-09-14 | 2024-02-21 | LG Energy Solution, Ltd. | Battery monitoring device, battery monitoring method, battery pack, and electric vehicle |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017049871A (en) * | 2015-09-03 | 2017-03-09 | 矢崎エナジーシステム株式会社 | Gas alarm unit and gas alarming method |
| CN109316687A (en) * | 2017-07-31 | 2019-02-12 | 华为技术有限公司 | A kind of extinguishing method and battery system of battery system |
| CN110311179A (en) * | 2019-05-31 | 2019-10-08 | 国电南瑞科技股份有限公司 | A kind of method of energy storage battery system intelligent early-warning |
| CN110444828A (en) * | 2019-08-21 | 2019-11-12 | 国网江苏省电力有限公司经济技术研究院 | Based on the energy storage thermal runaway method for early warning of lithium phosphate battery safety management system |
| CN110634262A (en) * | 2019-08-16 | 2019-12-31 | 国网江苏省电力有限公司 | Fire early warning method for battery prefabricated cabin of lithium iron phosphate energy storage power station |
-
2020
- 2020-01-19 CN CN202010059849.1A patent/CN111260875B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017049871A (en) * | 2015-09-03 | 2017-03-09 | 矢崎エナジーシステム株式会社 | Gas alarm unit and gas alarming method |
| CN109316687A (en) * | 2017-07-31 | 2019-02-12 | 华为技术有限公司 | A kind of extinguishing method and battery system of battery system |
| CN110311179A (en) * | 2019-05-31 | 2019-10-08 | 国电南瑞科技股份有限公司 | A kind of method of energy storage battery system intelligent early-warning |
| CN110634262A (en) * | 2019-08-16 | 2019-12-31 | 国网江苏省电力有限公司 | Fire early warning method for battery prefabricated cabin of lithium iron phosphate energy storage power station |
| CN110444828A (en) * | 2019-08-21 | 2019-11-12 | 国网江苏省电力有限公司经济技术研究院 | Based on the energy storage thermal runaway method for early warning of lithium phosphate battery safety management system |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112034359A (en) * | 2020-08-31 | 2020-12-04 | 郑州大学 | Lithium battery early safety early warning method and device based on hydrogen detection |
| EP4199181A4 (en) * | 2020-09-14 | 2024-02-21 | LG Energy Solution, Ltd. | Battery monitoring device, battery monitoring method, battery pack, and electric vehicle |
| CN112909360A (en) * | 2021-01-28 | 2021-06-04 | 国网江苏省电力有限公司经济技术研究院 | Polling extraction type container energy storage thermal runaway detection method and fire fighting device |
| CN112909360B (en) * | 2021-01-28 | 2022-06-10 | 国网江苏省电力有限公司经济技术研究院 | Polling extraction type container energy storage thermal runaway detection method and fire fighting device |
| CN113720965A (en) * | 2021-07-12 | 2021-11-30 | 威特龙消防安全集团股份公司 | System and method for judging thermal runaway of energy storage battery through gas detection and monitoring |
| CN113871732A (en) * | 2021-09-28 | 2021-12-31 | 泉州市圣能电源科技有限公司 | Intelligent lead-acid storage battery |
| CN113871732B (en) * | 2021-09-28 | 2023-09-22 | 泉州市圣能电源科技有限公司 | Intelligent lead-acid storage battery |
| WO2023097507A1 (en) * | 2021-11-30 | 2023-06-08 | 华为技术有限公司 | Battery safety early warning method and apparatus |
| CN115424423A (en) * | 2022-09-20 | 2022-12-02 | 中车株洲电力机车有限公司 | Battery thermal runaway warning method, equipment and storage medium |
| CN115719540A (en) * | 2022-10-17 | 2023-02-28 | 国网河北省电力有限公司电力科学研究院 | Fire alarm device and fire alarm method |
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