CN106610478A - Energy storage battery characteristic estimation method and system based on mass data - Google Patents
Energy storage battery characteristic estimation method and system based on mass data Download PDFInfo
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- CN106610478A CN106610478A CN201710018479.5A CN201710018479A CN106610478A CN 106610478 A CN106610478 A CN 106610478A CN 201710018479 A CN201710018479 A CN 201710018479A CN 106610478 A CN106610478 A CN 106610478A
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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]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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Abstract
The invention provides an energy storage battery characteristic estimation method and system based on mass data, and the method comprises the following steps: (1), obtaining the monitoring data of each cell: voltages, current, SOC and temperature of each cell; (2), calculating the health characteristic index of each cell according to the monitoring data of each cell; (3), integrating the health characteristic indexes of all estimation points of the cells, calculating the overall health characteristics of a current cell, and storing an analysis result. The system comprises a mass cell monitoring data storage subsystem, a cell characteristic analysis subsystem and a cell characteristic analysis result storage subsystem, wherein the mass cell monitoring data storage subsystem, the cell characteristic analysis subsystem and the cell characteristic analysis result storage subsystem. The method and system can be suitable for the quick analysis of the characteristics of all cells of a large-scale energy storage station, and can reflect the characteristics of cells more precisely.
Description
Technical field
The present invention relates to a kind of energy-storage battery appraisal procedure and system, and in particular to a kind of energy storage electricity based on mass data
Pond method of evaluating characteristic and system.
Background technology
Especially battery energy storage technology develops into current focus for extensive energy storage technology, occurs in that in recent years more
Practical application.But, energy-accumulating power station build up and test run is a beginning.Jumbo battery energy storage system is contained greatly
The battery cell of amount, set of cells.With the application of battery energy storage system, battery cell, set of cells and battery energy storage system
Characteristic all can change.How accurate electrolytic cell current state, energy-storage system characteristic is grasped, and be applied to battery storage
One important research contents of energy-storage system can have been become in operation maintenance, the management control of system.And with energy-accumulating power station
That what is built deepening continuously and advancing, and the data volume of energy-accumulating power station monitoring system exponentially increases, and constitutes mass data.Pass through
Carrying out energy-storage battery specificity analysises using Mass Data Management and treatment technology becomes a wide concerned research direction.
But in terms of characteristic monitoring is carried out to energy-storage battery monomer, there is following difficult point：First it is the kind of energy-storage battery
Class is more, and the appraisal procedure difference of variety classes battery is larger, lacks unified appraisement system；Secondly in energy-accumulating power station system,
The substantial amounts of battery cell, usually reach hundreds thousand of scales, and so many monomer is accurately monitored and positioned very
It is difficult；Additionally due to electric power station system is in dynamic running process, the characteristic of battery can be changed stepwise, how considerably long at one
Time scale dynamic evaluation is carried out to battery behavior, it is also desirable to a kind of feasible method of comparison.
The content of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a kind of energy-storage battery characteristic based on mass data and comments
Estimate method.The present invention can adapt to the quick analysis of all cell characteristics of extensive energy-accumulating power station, and can be more accurate
Reflection battery behavior.
In order to realize foregoing invention purpose, the present invention is adopted the following technical scheme that：
A kind of energy-storage battery method of evaluating characteristic based on mass data, methods described comprises the steps：
(1) monitoring data of each battery cell is obtained, including the voltage of battery, electric current, SOC and temperature；
(2) the health characteristic index of battery cell is calculated according to the monitoring data of each battery cell；
(3) the health characteristic index of each evaluation point of comprehensive monomer, calculates the general health characteristic of current monolithic, and stores
Analysis result.
Preferably, the step (2) comprises the steps：
Step 2-1, for each monomer, the monitoring data is divided by condition of monomer SOC variation tendencies, shape
Into one group of evaluation point；
Step 2-2, monomer voltage mean change amount of the monomer in each evaluation point is calculated, and according to voltage, electric current, SOC
And temperature data, voltage variety is modified；
Step 2-3, according to predetermined health characteristic classification indicators, and monomer is in the change in voltage amendment of each evaluation point
Value, calculates the battery cell characteristic of each evaluation point.
Preferably, in step 2-1, the evaluation point is one group of time interval, and the time interval length is little more than 1
When；The SOC monotone variations in time interval；SOC amplitudes of variation are more than 30% in time interval.
Preferably, in step 2-2, the correction formula of the voltage variety is as follows：
In formula, δ v are the voltage variety calculated before amendment,Be amendment voltage variety, wsocPresent battery
Charge volume factor of influence, wtThe temperature factor of influence of present battery, wvCurrent battery level specification and current voltage factor of influence,
wiCurrent charging and discharging currents factor of influence.
Preferably, in step 2-3, the predetermined health characteristic classification indicators for it is excellent, in, it is poor, setting it is corresponding
Change in voltage is interval to be respectively [a, b], [b, c] and [c, d], and wherein the value of a, b, c, d is according to battery types, operating condition, reality
The factor of border demand is adjusted, according to the change in voltage correction value of evaluation point fall change in voltage interval draw the evaluation point
Health characteristic classification indicators.
Preferably, in the step (3), the health characteristic of all evaluation points is counted, with the most health of quantity
General health characteristic of the characteristic as current monolithic.
Preferably, a kind of energy-storage battery characteristic evaluation system based on mass data, the system includes：It is sequentially connected
Magnanimity battery cell monitoring data storage subsystem, battery behavior analyzing subsystem and battery behavior analysis result storage subsystem；Institute
Magnanimity battery cell monitoring data storage subsystem is stated for storing the dynamic data that all kinds battery is gathered with the time, the dynamic
Data include battery cell voltage, electric current, SOC and temperature；The battery behavior analyzing subsystem is directed to each battery cell, according to
According to Monitoring Data, the health characteristic index of battery cell is calculated, the monitoring data includes monomer voltage, electric current, SOC and temperature
Degree；Battery behavior analysis result storage subsystem is used to store the analysis result of each battery cell.
Compared with prior art, the beneficial effects of the present invention is：
The present invention can adapt to all cell characteristics of extensive energy-accumulating power station using distributed storage and Computational frame
Quick analysis；Various Monitoring Data of comprehensive utilization battery cell, can more accurately reflect battery behavior；
The evaluation index that the present invention is classified using the voltage variety after reduction as battery behavior, not only simplify assessment
Difficulty, and different types of battery is can adapt to, it is applicable to power energy storage battery, electric automobile power battery etc..
Description of the drawings
Fig. 1 is the flow chart based on the energy-storage battery monomer properties appraisal procedure of mass data；
Fig. 2 is the schematic diagram based on the energy-storage battery monomer properties assessment system of mass data；
Fig. 3 is that Cell Evaluation point divides schematic diagram；
Fig. 4 is the evaluation of properties schematic diagram of each evaluation point of battery cell.
Specific embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
As shown in figure 1, the invention provides a kind of energy-storage battery method of evaluating characteristic based on mass data, the method bag
Include following steps：
Step 1, the monitoring data for obtaining each battery cell, including the voltage of battery, electric current, SOC and temperature；
Magnanimity monomer data are grouped, are separately input at the different computing units of distributed computing system
Reason.Battery detection data adopt distributed storage mode, storage content to include monitoring point, monitoring moment and the monitoring of each monomer
Value.
Step 2, the health characteristic index that battery cell is calculated according to the monitoring data of each battery cell；
Step 2-1, each computing unit process one group of monomer data, and monomer data are as interval, comprising various with minute
These gathered datas are divided by the number evidence for many years of monitoring point with SOC variation tendencies as condition, form one group of evaluation point.
Each evaluation point is a time interval, the SOC amplitudes of variation in the time interval, in SOC monotone variations, and whole interval
In the range of restriction.
Following table has intercepted the battery cell sampled data in about 2 hours sections：
| SOC | 70% | 60% | 50% | 40% | 30% |
| Time | 8:49 | 9:17 | 9:44 | 10:03 | 10:19 |
| Electric current | 37.4 | 38.9 | 51 | 66.2 | 67.2 |
| Voltage | 3.268 | 3.247 | 3.247 | 3.205 | 3.184 |
| Temperature | 21 | 22 | 22 | 22 | 23 |
During setting δ soc=r=10%, 4 evaluation points e can be formed within the time period1、e2、e3And e4, when corresponding
Between interval be respectively：[8:49,9:17]、[9:17,9:44]、[9:44,10:03] and [10:03,10:19], as shown in Figure 3.
The monomer voltage variable quantity of step 2-2, calculating monomer in each evaluation point.Several in time period shown in upper table comment
The change in voltage situation estimated a little is as follows：
| Evaluation point | e1 | e2 | e3 | e4 |
| δv | 0.02 | 0 | 0.04 | 0.02 |
Different Monitoring Data can produce certain impact to change in voltage, it is therefore desirable to according to voltage, electric current, SOC, temperature
The data such as degree, are modified to voltage variety, setwsocDepend on
The charge volume of present battery, wtDepend on the temperature of present battery, wvDepend on current battery level specification and current voltage, wi
Depend on current charging and discharging currents.
Within the time period for intercepting, the factor of influence of setting and revised voltage variety are respectively:
Step 2-3, according to predetermined classification indicators, and monomer is in the change in voltage correction value of each evaluation point, calculates
Battery cell characteristic of the current monolithic in each evaluation point.
Battery health characteristic is set as [excellent, in, poor], for example, corresponding change in voltage interval can be respectively set as [0,
0.02], [0.02,0.05] and [0.05, ∞], in the above-mentioned time period battery health characteristic of 4 evaluation points it is respectively excellent, excellent,
Neutralize excellent, monomer A as shown in Figure 4.
The health characteristic of each evaluation point calculates the monthly health characteristic of monomer in step 3, comprehensive monomer one month.By the moon
Degree health characteristic can either be from the difference of across comparison different monomers, it is also possible to from vertical analysiss monomer properties variation tendency.Such as
Shown in Fig. 4, the health characteristic of monomer A is better than monomer B.
As shown in Fig. 2 a kind of storage battery characteristic evaluation system based on mass data provided for the present invention, the system
System includes：Magnanimity battery cell monitoring data-storage system, battery behavior analysis system and the battery behavior analysis result being sequentially connected
Storage system；The magnanimity battery cell monitoring data-storage system is used to store the dynamic number that all kinds battery is gathered with the time
According to the dynamic data includes battery cell voltage, electric current, SOC and temperature；The battery behavior analysis system is for each electricity
Pond monomer, according to Monitoring Data, calculates the health characteristic index of battery cell, the monitoring data include monomer voltage, electric current,
SOC and temperature；Battery behavior analysis result storage system is used to store the analysis result of each battery cell.
Finally it should be noted that：Above example is most only to illustrate technical scheme rather than a limitation
Pipe has been described in detail with reference to above-described embodiment to the present invention, and those of ordinary skill in the art should be understood：Still
The specific embodiment of the present invention can be modified or equivalent, and without departing from any of spirit and scope of the invention
Modification or equivalent, it all should cover in the middle of scope of the presently claimed invention.
Claims (7)
1. a kind of energy-storage battery method of evaluating characteristic based on mass data, it is characterised in that methods described comprises the steps：
(1) monitoring data of each battery cell is obtained, including the voltage of battery, electric current, SOC and temperature；
(2) the health characteristic index of battery cell is calculated according to the monitoring data of each battery cell；
(3) the health characteristic index of each evaluation point of comprehensive monomer, calculates the general health characteristic of current monolithic, and stores analysis
As a result.
2. appraisal procedure according to claim 1, it is characterised in that the step (2) comprises the steps：
Step 2-1, for each monomer, the monitoring data is divided by condition of monomer SOC variation tendencies, formed one
Group evaluation point；
Step 2-2, monomer voltage mean change amount of the monomer in each evaluation point is calculated, and according to voltage, electric current, SOC and temperature
Degrees of data, is modified to voltage variety；
Step 2-3, according to predetermined health characteristic classification indicators, and monomer is in the change in voltage correction value of each evaluation point,
Calculate the battery cell characteristic of each evaluation point.
3. appraisal procedure according to claim 2, it is characterised in that in step 2-1, the evaluation point is one group of time
Interval, time interval length was more than 1 hour；The SOC monotone variations in time interval；SOC amplitudes of variation surpass in time interval
Cross 30%.
4. appraisal procedure according to claim 3, it is characterised in that in step 2-2, the amendment of the voltage variety
Formula is as follows：
In formula, δ v are the voltage variety calculated before amendment,Be amendment voltage variety, wsocThe charging of present battery
Amount factor of influence, wtThe temperature factor of influence of present battery, wvCurrent battery level specification and current voltage factor of influence, wiWhen
Front charging and discharging currents factor of influence.
5. appraisal procedure according to claim 2, it is characterised in that in step 2-3, the predetermined health characteristic point
Class index for it is excellent, in, it is poor, set that corresponding change in voltage is interval respectively [a, b], [b, c] and [c, d], wherein a, b, c, d
Value according to the factor of battery types, operating condition, actual demand adjust, according to the change in voltage correction value of evaluation point fall electricity
Pressure constant interval draws the health characteristic classification indicators of the evaluation point.
6. appraisal procedure according to claim 1, it is characterised in that in the step (3), the health of all evaluation points is special
Property is counted, using the most health characteristic of quantity as the general health characteristic of current monolithic.
7. a kind of energy-storage battery characteristic evaluation system based on mass data, it is characterised in that the system includes：It is sequentially connected
Magnanimity battery cell monitoring data storage subsystem, battery behavior analyzing subsystem and battery behavior analysis result storage subsystem；
The magnanimity battery cell monitoring data storage subsystem is used to store the dynamic data that all kinds battery is gathered with the time, described dynamic
State data include battery cell voltage, electric current, SOC and temperature；The battery behavior analyzing subsystem is directed to each battery cell,
According to Monitoring Data, the health characteristic index of battery cell is calculated, the monitoring data includes monomer voltage, electric current, SOC and temperature
Degree；Battery behavior analysis result storage subsystem is used to store the analysis result of each battery cell.
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Cited By (5)
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| CN109085507A (en) * | 2018-07-31 | 2018-12-25 | 中国电力科学研究院有限公司 | A kind of method and system for assessing energy-storage battery health status |
| CN111584952A (en) * | 2020-04-17 | 2020-08-25 | 许继集团有限公司 | Method and system for online evaluation of electrochemical cells of energy storage power station |
| CN111856284A (en) * | 2020-06-11 | 2020-10-30 | 国网江苏省电力有限公司电力科学研究院 | Failure analysis method and device for energy storage power station battery |
| WO2023143283A1 (en) * | 2022-01-29 | 2023-08-03 | 中国华能集团清洁能源技术研究院有限公司 | Battery energy storage distributed computing control system, control method, and electronic device |
| CN117890815A (en) * | 2024-01-16 | 2024-04-16 | 北京绿能环宇低碳科技有限公司 | Battery module assembly quality detection method and system |
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