CN107656216A - A kind of lead-acid accumulator on-line monitoring is safeguarded and early warning system and performance estimating method - Google Patents
A kind of lead-acid accumulator on-line monitoring is safeguarded and early warning system and performance estimating method Download PDFInfo
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- CN107656216A CN107656216A CN201711132456.3A CN201711132456A CN107656216A CN 107656216 A CN107656216 A CN 107656216A CN 201711132456 A CN201711132456 A CN 201711132456A CN 107656216 A CN107656216 A CN 107656216A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
- G01R31/379—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator for lead-acid batteries
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
- G05B19/058—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/10—Plc systems
- G05B2219/16—Plc to applications
- G05B2219/163—Domotique, domestic, home control, automation, smart, intelligent house
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Abstract
The present invention, which provides a kind of lead-acid accumulator on-line monitoring maintenance and early warning system and performance estimating method, system, includes S7400CPU modules, ET200 distributed I/Os, DC voltage transmitter, DC current transmitter, PT100 temperature sensors, inner walkway switch, series resistance, battery charge switch and batter-charghing system；Method is that the failure performance of battery is analyzed for the Controlling model method based on artificial neural-network control and ECS expert's automatic learning control system.System has abandoned single-chip microcomputer class control chip, and using the S7400PLC and its distributed I/O mode of Siemens, the signal of collecting part is converted into the standard signal of PLC inputs using transmitter mode；The test analysis model of the synthesis of accumulator property assessment is proposed simultaneously, the analysis model combines the method for testings such as battery tension, the dispersion of voltage, internal resistance, analysis and evaluation is carried out to battery current performance, draws more accurately accumulator property parameter value.
Description
Technical field
The present invention relates to lead-acid accumulator monitoring and controlling technical field, more particularly to a kind of lead-acid accumulator on-line monitoring dimension
Shield and early warning system and performance estimating method.
Background technology
The lead-acid accumulator maintenance mode of conventional method is to do a capacity verification property electric discharge every year, during discharging twice,
, accident potential be present in the service behaviour out of control of battery.Meanwhile service lifetime of accumulator is about 8 years, far below design
Life-span.
Need it is a kind of can be with remote real time monitoring battery condition and the system for carrying out charge control, Publication No.
CN106532164N Chinese patent propose it is a kind of can be with the battery management system of remote monitoring, usually, this system
Collection in worksite and control section be using single-chip microcomputer class control board realize, be designed by manufacturing firm.It is above-mentioned
Patent in also provide the design structure of this mode, however, this hardware mode versatility that generally uses is not strong, communication
Ability and interface generality are bad, and internal processes can not typically be changed, also bad with the interconnectivity of the control section of miscellaneous equipment,
User uses no flexibility.
Pass through the research of failure mechanism and detection method to analysing valve control type lead-acid accumulator battery, it can be deduced that VRLA stores
Battery is an extremely complex electrochemical system, in addition to verification property discharge test, goes back the simple method of neither one and goes to test
The real current performance parameters of battery, this is also that up to the present neither one can directly test battery in the world
The reason for energy PARAMETERSInstrument.Whether accumulator voltage or test accumulator internal resistance are tested, is all a kind of indirect side
Method, can not test performance parameter, or even the clear and definite corresponding relation that is also far from being.
Substantial amounts of battery service data statistics shows that change and the battery performance change of cell voltage have correlation.
Experience have shown that with the increase of service time of battery, battery performance constantly deteriorates, under battery capacity is continuous
Drop, and now the discreteness of cell voltage can also become more and more big.This is indubitable, and has theoretical foundation.Look for
Go out wherein rule, and expressed with a kind of available mathematical modeling, you can as available battery testing analysis means.
Therefore, the test analysis model for the synthesis assessed we have proposed accumulator property, the analysis model combine storage
The method of testings such as cell voltage, the dispersion of voltage, internal resistance, analysis and evaluation is carried out to battery current performance, drawn than calibrated
True accumulator property parameter value.
The content of the invention
In order to solve problem described in background technology, the present invention provides a kind of maintenance of lead-acid accumulator on-line monitoring and early warning
System and performance estimating method, system have abandoned single-chip microcomputer class control chip, using the S7400PLC and its distribution of Siemens
IO modes, the signal of collecting part is converted into the standard signal of PLC inputs using transmitter mode；Propose electric power storage simultaneously
The test analysis model of the synthesis of pond Performance Evaluation, the analysis model combine battery tension, the dispersion of voltage, internal resistance etc.
Method of testing, analysis and evaluation is carried out to battery current performance, draws more accurately accumulator property parameter value.
In order to achieve the above object, the present invention is realized using following technical scheme：
A kind of lead-acid accumulator on-line monitoring is safeguarded and early warning system, including S7400CPU modules, ET200 distributed I/Os,
DC voltage transmitter, DC current transmitter, PT100 temperature sensors, inner walkway switch, series resistance, battery charging
Switch and batter-charghing system；
Described S7400CPU modules connect multiple ET200 distributed I/Os with PROFIBUS-DP bus modes, by multiple
ET200 distributed I/Os carry out data acquisition and control to multiple lead-acid accumulators；
Described ET200 distributed I/Os input connects DC voltage transmitter, DC current transmitter, PT100 temperature
Sensor, output end connection inner walkway switch and battery charge switch, inner walkway switch are connected to lead by series resistance
On acid accumulator, battery charge switch connection batter-charghing system, DC voltage transmitter, DC current transmitter, PT100
Temperature sensor and batter-charghing system are connected with lead-acid accumulator.
Described S7400CPU modules also connect DTU serial data transparent transmission modules by RS485 serial ports, pass through DTU serial ports
Data penetration transmission module and flexecutive's terminal carry out data interaction, when lead acid storage battery cell voltage, electric current, internal resistance data not just
Early warning is carried out in time when often.
A kind of method for testing and analyzing for the synthesis that performances of the lead-acid battery is assessed, for based on artificial neural-network control and
The Controlling model method of ECS expert's automatic learning control system, analyzes the failure performance of battery, specifically comprises the following steps：
Step 1: expert diagnosis passes through to substantial amounts of battery tension, temperature, current history data and experimental data
Analysis, extracts characteristic parameter, and characteristic parameter includes floating charge, internal resistance, discharge and recharge, service life, temperature in use；
Step 2: establish various cell voltage state drag experts databases using artificial neural network technology；
Step 3: there is the function of adaptive learning using artificial neural network, when valve controlled sealed lead-acid accumulator enters
Gone full capacity or half capacity verification property discharge test when, network will change learning sample automatically, relearn training, formation one
The new Indentification model of kind；
Step 4: experts database enables a system to diagnose different battery operation environment and different electricity by constantly learning
The valve controlled sealed lead-acid accumulator performance of pond brand.
The step 2 is specially：
Step 201, in battery running, to often saving voltage internal resistance of battery, electric current etc. in batteries
Data carry out data analysis.Storage battery performance analytical expert diagnosing method is floated using the theory of battery floating charge dispersion to battery
Charging voltage data are calculated, and comprehensive analysis obtains dispersion variable of the single battery with respect to itself float charge voltage, single battery phase
To the dispersion variable of whole group battery float voltage, change of the single battery with respect to itself internal resistance is obtained, it is equal to obtain single battery
Fill characteristic parameter, and discharge characteristic parameter；
Step 202, to accumulator property carry out implement diagnosis when, will gather electric power storage by the method in step 201
Cell voltage, temperature, current data extraction characteristic parameter be battery float voltage data, single battery with respect to itself internal resistance change
Change, fill characteristic parameter and discharge characteristic parameter input experts database, run into neutral net, obtain accumulator property prediction
Value.
Compared with prior art, the beneficial effects of the invention are as follows：
1st, a kind of lead-acid accumulator of the invention on-line monitoring is safeguarded and early warning system, using Siemens S7400PLC and
Its distributed I/O mode, the signal of collecting part is converted into the standard signal of PLC inputs using transmitter mode, using one
PLC CPU carries out communication with multiple distributed I/Os and is connected, while carries out data acquisition and control to the accumulator plant in multiple places
System, and S7400PLC is provided with various communication interfaces in itself, support multiple kinds, its program can be with secondary development, can be with
Communication interface interconnection is carried out with other equipment, integrated monitoring can be realized.
2nd, a kind of maintenance of lead-acid accumulator of the invention on-line monitoring and early warning system, are gathered using DC voltage transmitter
Battery dump energy, the direct current of four-wire system is used by DC current transmitter and DC voltage transmitter and the resistance of series connection
Detection method detects the internal resistance of cell, that is, gives battery to increase a load R, measure resulting change voltage and current, can be with
The internal resistance of battery is calculated by voltage change divided by current variation value, the filtering that software is employed inside PLC program is arranged
Apply, can effectively filter out influence of the charger ripple to inner walkway, ensure that the online inner walkway of battery accuracy, one
Cause property and repeatability.
3rd, the method for testing and analyzing for the synthesis that a kind of performances of the lead-acid battery of the invention is assessed, analyzed in battery malfunction
In mathematical modeling, the diagnosis principle of fuzzy mathematics and artificial neural network is employed, in a manner of Nonlinear Processing, with associated topologies
Structure is associated to various data, and draws judgement conclusion.Its maximum feature is exactly its adaptation function, can pass through
Practise algorithm constantly to adjust, so as to improve constantly the precision of judgement.Lagging batteries are presented in real time, without carrying out artificial nucleus to property
Electric discharge, you can more accurately know the behavior pattern of battery.Effective monitoring is realized to the health status of valve control battery, and
Shi Faxian dead batteries, possible dead battery is predicted and makes maintenance guidance, prevented the generation of burst accident while subtract
The test maintenance of few blindness, reduces error, accurate judgement.The blank in this domestic field has been filled up, has realized that battery is comprehensive
Online monitoring.
Brief description of the drawings
A kind of lead-acid accumulator on-line monitoring that Fig. 1 is the present invention is safeguarded and the overall structure diagram of early warning system；
A kind of lead-acid accumulator on-line monitoring that Fig. 2 is the present invention is safeguarded and the internal resistance of cell DC test knot of early warning system
Structure schematic diagram.
Fig. 3 is expert's self study control of the method for testing and analyzing for the synthesis that a kind of performances of the lead-acid battery of the present invention is assessed
Structural representation processed；
Fig. 4 is the artificial neural network of the method for testing and analyzing for the synthesis that a kind of performances of the lead-acid battery of the present invention is assessed
Control structure schematic diagram；
Fig. 5 is the battery performance analysis of the method for testing and analyzing for the synthesis that a kind of performances of the lead-acid battery of the present invention is assessed
As a result rod figure.
Embodiment
Embodiment provided by the invention is described in detail below in conjunction with accompanying drawing.
As shown in figure 1, a kind of lead-acid accumulator on-line monitoring is safeguarded and early warning system, including S7400CPU modules, ET200
Distributed I/O, DC voltage transmitter, DC current transmitter, PT100 temperature sensors, inner walkway switch, series resistance,
Battery charge switch and batter-charghing system；
Described S7400CPU modules connect multiple ET200 distributed I/Os with PROFIBUS-DP bus modes, by multiple
ET200 distributed I/Os carry out data acquisition and control to multiple lead-acid accumulators；
Described ET200 distributed I/Os input connects DC voltage transmitter, DC current transmitter, PT100 temperature
Sensor, output end connection inner walkway switch and battery charge switch, inner walkway switch are connected to lead by series resistance
On acid accumulator, battery charge switch connection batter-charghing system, DC voltage transmitter, DC current transmitter, PT100
Temperature sensor and batter-charghing system are connected with lead-acid accumulator.
Described DC voltage transmitter and DC current transmitter is the transmitter of band signal isolation features, power supply,
Input is mutually isolated with output par, c, after being connected with lead-acid accumulator, does not influence the access of miscellaneous equipment.
Described PT100 temperature sensors can be installed near lead-acid accumulator terminals, or internally-arranged type temperature
Sensor is spent, Siemens's series of PLC is provided with PT100 input signal special purpose interfaces, without carrying out signal conversion again.
Described S7400CPU modules also connect DTU serial data transparent transmission modules by RS485 serial ports, pass through DTU serial ports
Data penetration transmission module and flexecutive's terminal carry out data interaction, when lead acid storage battery cell voltage, electric current, internal resistance data not just
Early warning is carried out in time when often.
A kind of lead-acid accumulator on-line monitoring of the present invention is safeguarded and early warning system is using DC voltage transmitter collection electricity
Pond dump energy, examined by DC current transmitter and DC voltage transmitter and the resistance of series connection using the direct current of four-wire system
Survey method detects the internal resistance of cell.
As shown in Fig. 2 the internal resistance detection in a kind of lead-acid accumulator on-line monitoring maintenance of the present invention and early warning system is adopted
With the DC detection method of four-wire system, i.e., increase a load R to battery, measure resulting change voltage and current,
The internal resistance of battery can be calculated by voltage change divided by current variation value, the filter of software is employed inside PLC program
Ripple measure, influence of the charger ripple to inner walkway can be effectively filtered out, ensure that the accurate of the online inner walkway of battery
Property, uniformity and repeatability.
Described batter-charghing system uses the supporting charging device of existing battery, and the ET200 output ends of PLC system pass through
Battery charge switch is connected to the power supply side of batter-charghing system, by controlling the switching on and off to control of power supply side
The charging process of battery processed.Other batter-charghing system internal circuit is also equipped with charge protector, and both are simultaneously to battery
Charging process be controlled.
As shown in figure 3, a kind of method for testing and analyzing for the synthesis that performances of the lead-acid battery is assessed, for based on ANN
Network controls and the Controlling model method of ECS expert's automatic learning control system, analyzes the failure performance of battery, specifically includes as follows
Step：
Step 1: expert diagnosis passes through to substantial amounts of battery tension, temperature, current history data and experimental data
Analysis, extracts characteristic parameter, and characteristic parameter includes floating charge, internal resistance, discharge and recharge, service life, temperature in use；
Step 2: establish various cell voltage state drag experts databases using artificial neural network technology；
Step 3: there is the function of adaptive learning using artificial neural network, when valve controlled sealed lead-acid accumulator enters
Gone full capacity or half capacity verification property discharge test when, network will change learning sample automatically, relearn training, formation one
The new Indentification model of kind；
Step 4: experts database enables a system to diagnose different battery operation environment and different electricity by constantly learning
The valve controlled sealed lead-acid accumulator performance of pond brand.
As shown in figure 4, the step 2 is specially：
Step 201, in battery running, to often saving voltage internal resistance of battery, electric current etc. in batteries
Data carry out data analysis.Storage battery performance analytical expert diagnosing method is floated using the theory of battery floating charge dispersion to battery
Charging voltage data are calculated, and comprehensive analysis obtains dispersion variable of the single battery with respect to itself float charge voltage, single battery phase
To the dispersion variable of whole group battery float voltage, change of the single battery with respect to itself internal resistance is obtained, it is equal to obtain single battery
Fill characteristic parameter, and discharge characteristic parameter；
Step 202, to accumulator property carry out implement diagnosis when, will gather electric power storage by the method in step 201
Cell voltage, temperature, current data extraction characteristic parameter be battery float voltage data, single battery with respect to itself internal resistance change
Change, fill characteristic parameter and discharge characteristic parameter input experts database, run into neutral net, obtain accumulator property prediction
Value.Fig. 5 is the rod figure of the battery failure results of performance analysis drawn after analysis.
Substantial amounts of battery service data statistics shows that change and the battery performance change of cell voltage have correlation.
Experience have shown that with the increase of service time of battery, battery performance constantly deteriorates, under battery capacity is continuous
Drop, and now the discreteness of cell voltage can also become more and more big.This is indubitable, and has theoretical foundation.Look for
Go out wherein rule, and expressed with a kind of available mathematical modeling, you can as available battery testing analysis means.
Based on above experience, we have carried out prolonged trace analysis to substantial amounts of batteries service data, it was demonstrated that
The presence of this rule, and on this basis we establish the mathematical modeling of analysis.
The judgment basis of battery malfunction mathematical modeling have it is following some：
Along with the deterioration of battery performance, the battery will progressively become big relative to the cell voltage dispersion of itself；
Along with the deterioration of battery performance, the battery will progressively become relative to the cell voltage dispersion of whole group battery
Greatly；
Along with the deterioration of battery performance, the battery will progressively become big relative to the internal resistance value of itself；
Along with the deterioration of battery performance, the charging and discharging curve difference in voltage of the battery is relative to the other batteries of battery pack
Value will progressively become big.
Obviously, in face of a large amount of battery voltage datas constantly collected, these data is quickly analyzed, manage out useful letter
Breath is extremely complex, and can not be calculated by simple functional relation to obtain.
In battery malfunction analyzes mathematical modeling, we employ the Diagnosis of Primary of fuzzy mathematics and artificial neural network
Various data in a manner of Nonlinear Processing, are associated, and draw judgement conclusion by reason with associated topologies structure.It is maximum special
Point is exactly its adaptation function, can constantly be adjusted by learning algorithm, so as to improve constantly the precision of judgement.
Lagging batteries are presented in real time, property are discharged without carrying out artificial nucleus, you can more accurately know battery
Behavior pattern.Effective monitoring is realized to the health status of valve control battery, dead battery is found in time, to possible dead battery
It is predicted and makes maintenance guidance, the generation for preventing burst accident while the test maintenance for reducing blindness, reduces error, accurately sentence
It is disconnected.The blank in this domestic field has been filled up, has realized that battery is comprehensively guarded online.
Above-mentioned mathematical analysis model is extremely complex, typically by remotely counting in the Monitored System of Industrial Storage Cell of networking
Complete to handle according to server.In the analysis program that BMM is embedded, due to being limited by CPU disposal abilities, to analysis model
Simplified, the assessment of capacity is not provided, only provide the analysis of battery condition trend, there is provided program is made whether to need to tie up
Protect and how to safeguard, can also make comprehensive judgement to battery tension and discreteness, internal resistance certainly, provide battery malfunction
Alarm, than other single only test voltages or the method for testing internal resistance, the result that BMM analysis models provide will be completeer
It is kind, more effectively, more accurately.
Voltage charging method in the charging process of battery：Including balance adjustment charging method, overcharge the online of battery
The online supplement method for electrically of activation method and charge less battery.
(1) balance adjustment charging method
In batteries actual motion, charger is not individually to control each battery charging, but is controlled whole
The charging voltage of group storage battery.When such as to require monomer float charge voltage be 2.25V, to 24 batteries groups of communication power supply, then whole group
Cell voltage is set to：24 × 2.25=54V；Batteries are saved to electric supply 108, then whole group battery tension is set to： 108
× 2.25=243V.At this moment, problem just generates --- due to nonuniformities such as storage battery production process in which materials, techniques, lead
The nonuniformity of cell performance parameter is caused, each cell does not have the float charge voltage (2.25V) by preferable setting
Charging！
In actual motion, we often can see the cell float charge voltage fluctuation in a group storage battery and are possible to
Very big, the limit value that battery floating charge pressure is given in operating standard is ± 50mV, although the monomer voltage of some batteries does not have
Limit value is had more than, but the long-term setting voltage that deviates is run, and this has just buried seed for the failure of battery.By to battery
Operational Data Analysis is can be found that：
Too high float charge voltage means to overcharge battery, is chronically at overcharging state, and positive plate will be accelerated rotten
Erosion, and influence the life of storage battery；
Equally, too low float charge voltage means the charge less to battery, is chronically at charge less state, will accelerate negative pole
Plate corrodes, and will also influence the life of storage battery；
Each monomer battery voltage can influence each other in batteries, produce bigger fluctuation, strengthen and overcharge and charge less
Phenomenon.
Because valve controlling type accumulator is usually constantly in floating charge electricity condition, so only three kinds of possibility, i.e., normal floating charge shape
State, overcharging state, charge less state.
The differentiation of this state, it is not simply at a time to go to measure cell float charge voltage, but should
Analyzed by the voltage data of a period of time, the changing of such as itself dispersion, the change of relative whole group dispersion, then in being aided with
The change of resistance, it could accurately obtain floating charge electricity condition.In the CPU of BMM equipment, the mathematical modulo of battery analysis has been embedded
Type, by cell voltage and voltage dispersion degree and the mutation analysis of internal resistance, judging the state that current battery is in, when drawing
When battery is in charge less or overcharging state, automatic start maintenance program is carried out electric voltage equalization tune by equipment to battery online
Section charging or activation.Maintenance program can also be assigned instruction by network remote and be performed.
(2) battery overcharged to confirmation, is activated online.
When battery is in long-term overcharge condition, the corrosion of positive plate will be accelerated, influence accumulator capacity.The electricity overcharged
Pond can be showed in float charge voltage, the analysis program in BMM is drawn overcharge judgement after, by being fitted online to overcharging battery
When adjustment float charge voltage (slight electric discharge), and charge and discharge maintenance activation, it can improve and overcharge the infringement to caused by battery, and make
Battery returns to normal floating charge electricity condition.
(3) confirm the battery of charge less, give online supplement electricity.
Long-term undercharge or after discharge without fully charged in time, will cause the sulfation of negative plate, makes original
This negative plate PbSO4 in charge less can not be reduced, and influence accumulator capacity.The battery of charge less can be in float charge voltage
In showed, after the analysis program in BMM show that charge less judges, give online supplement electricity in time, improve what is be likely to occur
Sulfation, battery is set to return to normal floating charge electricity condition.
Above example is implemented under premised on technical solution of the present invention, gives detailed embodiment and tool
The operating process of body, but protection scope of the present invention is not limited to the above embodiments.Method therefor is such as without spy in above-described embodiment
It is conventional method not mentionlet alone bright.
Claims (4)
1. a kind of lead-acid accumulator on-line monitoring is safeguarded and early warning system, it is characterised in that including S7400CPU modules, ET200
Distributed I/O, DC voltage transmitter, DC current transmitter, PT100 temperature sensors, inner walkway switch, series resistance,
Battery charge switch and batter-charghing system；
Described S7400CPU modules connect multiple ET200 distributed I/Os with PROFIBUS-DP bus modes, by multiple
ET200 distributed I/Os carry out data acquisition and control to multiple lead-acid accumulators；
Described ET200 distributed I/Os input connects DC voltage transmitter, DC current transmitter, PT100 TEMPs
Device, output end connection inner walkway switch and battery charge switch, inner walkway switch are connected to plumbic acid by series resistance and stored
On battery, battery charge switch connection batter-charghing system, DC voltage transmitter, DC current transmitter, PT100 temperature pass
Sensor and batter-charghing system are connected with lead-acid accumulator.
2. a kind of lead-acid accumulator on-line monitoring according to claim 1 is safeguarded and early warning system, it is characterised in that described
S7400CPU modules also by RS485 serial ports connect DTU serial data transparent transmission modules, pass through DTU serial data transparent transmission modules
Data interaction is carried out with flexecutive's terminal, is carried out in time when lead acid storage battery cell voltage, electric current, internal resistance data are abnormal
Early warning.
3. the method for testing and analyzing for the synthesis that a kind of performances of the lead-acid battery is assessed, it is characterised in that be based on ANN
Network controls and the Controlling model method of ECS expert's automatic learning control system, analyzes the failure performance of battery, specifically includes as follows
Step：
Step 1: expert diagnosis is by dividing substantial amounts of battery tension, temperature, current history data and experimental data
Analysis, extracts characteristic parameter, and characteristic parameter includes floating charge, internal resistance, discharge and recharge, service life, temperature in use；
Step 2: establish various cell voltage state drag experts databases using artificial neural network technology；
Step 3: there is the function of adaptive learning using artificial neural network, when valve controlled sealed lead-acid accumulator is carried out
When full capacity or half capacity verification property discharge test, network will change learning sample automatically, relearn training, be formed a kind of new
Indentification model；
Step 4: experts database enables a system to diagnose different battery operation environment and different battery product by constantly learning
The valve controlled sealed lead-acid accumulator performance of board.
4. the method for testing and analyzing for the synthesis that a kind of performances of the lead-acid battery according to claim 3 is assessed, its feature exist
In the step 2 is specially：
Step 201, in battery running, to often saving the data such as voltage internal resistance of battery, electric current in batteries
Carry out data analysis.Storage battery performance analytical expert diagnosing method utilizes the theoretical to battery float electricity of battery floating charge dispersion
Pressure data are calculated, and it is relatively whole with respect to dispersion variable, the single battery of itself float charge voltage that comprehensive analysis obtains single battery
The dispersion variable of Battery pack float charge voltage, change of the single battery with respect to itself internal resistance is obtained, obtain single battery and fill spy
Levy parameter, and discharge characteristic parameter；
Step 202, to accumulator property carry out implement diagnosis when, will gather storage battery by the method in step 201
Pressure, temperature, current data extraction characteristic parameter are battery float voltage data, single battery changes, with respect to itself internal resistance
Characteristic parameter and discharge characteristic parameter input experts database are filled, is run into neutral net, obtains accumulator property predicted value.
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| CN109100652A (en) * | 2018-06-05 | 2018-12-28 | 中国电力科学研究院有限公司 | It is a kind of for predict echelon using power battery dispersion method and system |
| CN109164395A (en) * | 2018-08-22 | 2019-01-08 | 杭州邦利检测技术有限公司 | Power accumulator safety test method for electric vehicle |
| CN109299552A (en) * | 2018-09-29 | 2019-02-01 | 清华大学 | A kind of appraisal procedure and its assessment system of battery power status |
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| CN112034355A (en) * | 2020-09-04 | 2020-12-04 | 中国南方电网有限责任公司超高压输电公司曲靖局 | Method and device for evaluating state of storage battery |
| CN112034355B (en) * | 2020-09-04 | 2023-09-05 | 中国南方电网有限责任公司超高压输电公司曲靖局 | Method and device for evaluating state of storage battery |
| CN112198443A (en) * | 2020-09-28 | 2021-01-08 | 烽火通信科技股份有限公司 | Method and device for detecting service life of storage battery |
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| CN112083336A (en) * | 2020-10-19 | 2020-12-15 | 哈尔滨工业大学（威海） | Lithium ion battery pack electrochemical model parameter acquisition method |
| CN112415397A (en) * | 2020-11-27 | 2021-02-26 | 广东电网有限责任公司佛山供电局 | Method for diagnosing faults of backup lead-acid storage battery pack of integrated intelligent terminal in real time |
| CN113533965A (en) * | 2021-06-18 | 2021-10-22 | 天生桥二级水力发电有限公司 | Storage battery performance analysis platform and method |
| CN116388353A (en) * | 2023-06-06 | 2023-07-04 | 宁波齐云新材料技术有限公司 | Power supply system for lithium battery pack and control method |
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