CN109557469B - Storage battery nuclear capacity data analysis method and device - Google Patents
Storage battery nuclear capacity data analysis method and device Download PDFInfo
- Publication number
- CN109557469B CN109557469B CN201811540720.1A CN201811540720A CN109557469B CN 109557469 B CN109557469 B CN 109557469B CN 201811540720 A CN201811540720 A CN 201811540720A CN 109557469 B CN109557469 B CN 109557469B
- Authority
- CN
- China
- Prior art keywords
- storage battery
- preset
- voltage
- battery
- capacity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000007405 data analysis Methods 0.000 title claims abstract description 15
- 230000036541 health Effects 0.000 claims abstract description 64
- 230000009467 reduction Effects 0.000 claims description 14
- 239000000178 monomer Substances 0.000 claims description 12
- 230000015556 catabolic process Effects 0.000 abstract description 3
- 238000006731 degradation reaction Methods 0.000 abstract description 3
- 208000028659 discharge Diseases 0.000 description 60
- 238000002474 experimental method Methods 0.000 description 8
- 238000012423 maintenance Methods 0.000 description 8
- 238000004458 analytical method Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000007599 discharging Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 239000003990 capacitor Substances 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 235000019800 disodium phosphate Nutrition 0.000 description 1
- 230000036449 good health Effects 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Landscapes
- Secondary Cells (AREA)
Abstract
The invention provides a storage battery nuclear capacity data analysis method and device, and relates to the technical field of batteries. The method comprises the following steps: acquiring characteristic parameters when the storage battery is discharged to a preset capacity; comparing the characteristic parameters with preset conditions; if the characteristic parameters do not meet the preset conditions, determining that the storage battery is unqualified; and if the characteristic parameters meet the preset conditions, comparing the characteristic parameters with the historical characteristic parameters to obtain the health condition of the storage battery. The method analyzes the parameters of the storage battery nuclear capacity discharge in a multi-stage manner, and judges the degradation condition of the storage battery more accurately.
Description
Technical Field
The invention relates to the technical field of batteries, in particular to a storage battery nuclear capacity data analysis method and device.
Background
In a transformer substation, the storage battery is used as a standby power supply and plays an important role in ensuring the stability of power supply. Once the storage battery is in trouble, the equipment can be shut down, the power supply system can be broken down, and other larger losses can be caused. Therefore, it is necessary to periodically check the battery through a nuclear capacity discharge test to periodically diagnose the state of health of the battery.
At present, the method for diagnosing the health state of the storage battery mainly comprises the following steps: the storage battery is subjected to discharge treatment, and characteristic parameters of the storage battery, such as the voltage of a storage battery cell, are recorded once at regular time intervals. When the discharge capacity of the battery reaches 80% of the rated capacity of the storage battery, stopping recording the characteristic parameters, determining the current voltage of each storage battery monomer, and if the voltage of each storage battery monomer is more than 1.8V, determining that the storage battery is qualified; if the battery cell with the voltage less than 1.8V exists, the battery is unqualified.
However, even if the battery has some loss, the voltage of the battery cell can satisfy the condition of more than 1.8V when the discharge capacity reaches 80% of the rated capacity, so the detection effect of the prior art is not good.
Disclosure of Invention
The present invention aims to provide a method and an apparatus for analyzing storage battery nuclear capacity data, which are used for collecting storage battery nuclear capacity discharge experiment characteristic parameters, and comparing the collected characteristic parameters with preset characteristic parameters and historical characteristic parameters to accurately obtain the condition of storage battery performance degradation. And the maintenance personnel maintain the storage battery according to the result obtained by the method.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical solutions:
in a first aspect, an embodiment of the present invention provides a storage battery capacity data analysis method, including: acquiring characteristic parameters when the storage battery is discharged to a preset capacity; comparing the characteristic parameters with preset conditions; if the characteristic parameters do not meet the preset conditions, determining that the storage battery is unqualified; and if the characteristic parameters meet the preset conditions, comparing the characteristic parameters with historical characteristic parameters to obtain the health condition of the storage battery.
Further, the characteristic parameters include: cell voltage of the battery; after the characteristic parameters of the storage battery discharged to the preset capacity are obtained, the method further comprises the following steps: comparing the voltage of the single battery with a preset voltage; if the voltage of the battery monomer in the storage battery is smaller than the preset voltage, determining that the storage battery is unqualified; and if all the single battery voltages of the storage battery are greater than or equal to the preset voltage, comparing the single battery voltages with the historical average single battery voltage to obtain the health condition of the storage battery.
Further, the obtaining of the characteristic parameter when the storage battery is discharged to the preset capacity includes: within the discharge time, the characteristic parameters are obtained according to a preset time interval, and the characteristic parameters further comprise: the method comprises the following steps of (1) terminal voltage, discharge duration, discharge current, rated capacity of the storage battery, acquisition time interval and acquisition times of the storage battery; comparing the current capacity with the preset capacity; if the current capacity of the storage battery reaches a preset capacity, stopping obtaining the characteristic parameters; and if the current capacity of the storage battery does not reach the preset capacity, continuously acquiring the characteristic parameters.
Further, if all the cell voltages of the storage battery are greater than or equal to the preset voltage, comparing the cell voltages with the historical average voltage of the cells to obtain the health condition of the storage battery, including: obtaining the voltage drop amplitude of each single battery according to the single battery voltage of the storage battery and the historical average voltage of the corresponding single battery when the storage battery discharges to the preset capacity; if the voltage drop amplitude of the battery monomer in the storage battery is larger than a preset drop amplitude, determining the health condition of the storage battery to be a first preset level; and if the voltage drop amplitude of the single battery in the storage battery is smaller than the preset drop amplitude, comparing the terminal voltage of the storage battery with the historical average terminal voltage of the storage battery of the same model to obtain the health condition of the storage battery.
Further, if the voltage drop amplitude of the single battery in the storage battery is smaller than a preset drop amplitude, comparing the terminal voltage of the storage battery with the historical average terminal voltage of the storage battery of the same model to obtain the health condition of the storage battery, wherein the health condition comprises the following steps: acquiring the terminal voltage reduction amplitude of the storage battery according to the terminal voltage of the storage battery and the historical average terminal voltage of the storage battery of the same model when the storage battery is discharged to a preset capacity; if the terminal voltage descending amplitude of the storage battery is larger than the preset terminal voltage descending amplitude, determining that the health condition of the storage battery is a second preset level; and if the terminal voltage descending amplitude of the storage battery is smaller than the preset terminal voltage descending amplitude, determining that the health condition of the storage battery is qualified.
In a second aspect, an embodiment of the present invention further provides a storage battery capacity data analysis apparatus, including: the acquisition module is used for acquiring characteristic parameters when the storage battery is discharged to a preset capacity; the judging module is used for comparing the characteristic parameters with preset conditions; the determining module is used for determining that the storage battery is unqualified if the characteristic parameters do not meet the preset conditions; and if the characteristic parameters meet the preset conditions, comparing the characteristic parameters with historical characteristic parameters to obtain the health condition of the storage battery.
Further, the characteristic parameters include: cell voltage of the battery; the judging module is specifically used for comparing the single battery voltage with a preset voltage; the determining module is specifically configured to determine that the storage battery is unqualified if the cell voltage in the storage battery is smaller than the preset voltage; and if all the single battery voltages of the storage battery are greater than or equal to the preset voltage, comparing the single battery voltages with the historical average single battery voltage to obtain the health condition of the storage battery.
Further, the obtaining module is specifically configured to obtain the characteristic parameter at a preset time interval within a discharge time, and calculate the current capacity of the storage battery according to the characteristic parameter, where the characteristic parameter further includes: the method comprises the following steps of (1) terminal voltage, discharge duration, discharge current, rated capacity of the storage battery, acquisition time interval and acquisition times of the storage battery; the judging module is also used for comparing the current capacity of the storage battery with the preset capacity; the determining module is further configured to control the obtaining module to stop obtaining the characteristic parameter if the current capacity of the storage battery reaches a preset capacity; and if the current capacity of the storage battery does not reach the preset capacity, the acquisition module continues to acquire the characteristic parameters.
Further, the determining module is specifically configured to obtain a voltage drop amplitude of each cell according to a cell voltage of the storage battery when the storage battery is discharged to a preset capacity and a historical average voltage of a corresponding cell; if the voltage drop amplitude of the battery monomer in the storage battery is larger than a preset drop amplitude, determining the health condition of the storage battery to be a first preset level; and if the voltage drop amplitude of the single battery in the storage battery is smaller than the preset drop amplitude, comparing the terminal voltage of the storage battery with the historical average terminal voltage of the storage battery of the same model to obtain the health condition of the storage battery.
Further, the determining module is further configured to obtain a terminal voltage reduction range of the storage battery according to the terminal voltage of the storage battery when the storage battery is discharged to a preset capacity and a historical average terminal voltage of the storage battery of the same model; if the terminal voltage descending amplitude of the storage battery is larger than the preset terminal voltage descending amplitude, determining that the health condition of the storage battery is a second preset level; and if the terminal voltage descending amplitude of the storage battery is smaller than the preset terminal voltage descending amplitude, determining that the health condition of the storage battery is qualified.
According to the method and the device for analyzing the storage battery nuclear capacity data, provided by the embodiment of the invention, the health condition of the storage battery is accurately obtained by comparing the storage battery characteristic parameters with the preset conditions.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a method for analyzing battery capacity data according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for analyzing battery capacity data according to another embodiment of the present invention;
fig. 3 is a flowchart of a method for analyzing battery capacity data according to another embodiment of the present invention;
fig. 4 is a flowchart of a method for analyzing battery capacity data according to another embodiment of the present invention;
fig. 5 is a flowchart of a method for analyzing battery capacity data according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of a storage battery capacity data analysis apparatus according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a storage battery capacity data analysis apparatus according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
Fig. 1 is a flowchart of a method for analyzing battery capacity data according to an embodiment of the present invention.
The embodiment of the invention provides a storage battery nuclear capacity data analysis method, which comprises the following steps of:
and S110, acquiring characteristic parameters when the storage battery is discharged to a preset capacity.
The storage battery of the transformer substation has electric energy loss in the storage process, so that the storage battery needs to be subjected to periodic nuclear capacity discharge according to the service life of the storage battery. The storage battery nuclear capacity data analysis device needs to be matched with an intelligent storage battery capacity discharge tester for use.
Specifically, the intelligent storage battery pack capacity discharge tester is used for storage battery nuclear capacity discharge, and the device collects characteristic parameters during the nuclear capacity discharge. When the storage battery is discharged to the preset rated capacity, the device stops the acquisition of the characteristic parameters.
Alternatively, the preset capacity may be set to eighty percent of the rated capacity. And under the condition that the performance of the storage battery is seriously reduced, namely, the nuclear capacity discharge is not carried out, the actual capacity of the storage battery is smaller than the rated capacity, and the health condition is unqualified.
And S120, comparing the characteristic parameters with preset conditions.
After comparing the characteristic parameter with the preset condition, S130 is performed.
And S130, if the characteristic parameters do not meet the preset conditions, determining that the storage battery is unqualified.
Similarly, after comparing the characteristic parameter with the preset condition, S131 may be further performed.
And S131, if the characteristic parameters meet preset conditions, comparing the characteristic parameters with historical characteristic parameters to obtain the health condition of the storage battery.
For the same feature parameter, after comparing the feature parameter with the preset condition, S130 or S131 is executed, and S130 and S131 are not executed at the same time.
In this embodiment, the storage battery is subjected to nuclear capacity discharge, characteristic parameters during discharge are collected, and the storage battery with a downward trend is analyzed in a more precise manner by performing multi-stage analysis on the characteristic parameters, so that maintenance personnel can perform enhanced detection on the storage battery with the downward trend.
Fig. 2 is a flowchart of a method for analyzing storage battery capacity data according to another embodiment of the present invention, where as shown in fig. 2, when a characteristic parameter includes a cell voltage of a storage battery, after the cell voltage when the storage battery discharges to a preset capacity is obtained, another method for analyzing storage battery capacity data is shown, which includes:
and S210, acquiring the cell voltage when the storage battery is discharged to the preset capacity.
Specifically, the intelligent storage battery pack capacity discharge tester is used for storage battery nuclear capacity discharge, and the device collects the voltage of a battery monomer during the nuclear capacity discharge. When the storage battery discharges to the preset rated capacity, the device stops the collection of the voltage of the battery monomer.
And S220, comparing the voltage of the battery cell with a preset voltage.
Specifically, in the secondary battery, there are a plurality of battery cells. And comparing the acquired cell voltages with preset voltages one by one. Through engineering experiments, the preset voltage can be set to be 1.8V.
It should be noted that the cell voltage for comparison with the preset voltage is the cell voltage acquired at the last time of the nuclear capacity discharge experiment.
After comparing the cell voltage with the preset voltage, S230 is performed.
And S230, if the voltage of the single battery in the storage battery is smaller than the preset voltage, determining that the storage battery is unqualified.
In the collected nuclear capacity discharge experiment, the voltages of the battery monomers in the storage battery are compared with a preset voltage value one by one. If the single battery voltage is smaller than the preset voltage in the same storage battery, the storage battery is judged to be unqualified, namely the storage battery has a battery capacity defect.
Similarly, S231 may be further performed after comparing the cell voltage with the preset voltage.
And S231, if all the single battery voltages of the storage battery are greater than or equal to the preset voltage, comparing the single battery voltages with the historical average single battery voltage to obtain the health condition of the storage battery.
When all the cell voltages in the storage battery are greater than or equal to the preset voltage, the storage battery can be subjected to the next-stage analysis.
For the voltage of the same cell, after comparing the cell voltage with the preset condition, S230 or S231 is performed, and S230 and S231 cannot be performed simultaneously.
Fig. 3 is a flowchart of a method for analyzing battery capacity data according to another embodiment of the present invention. As shown in fig. 3, before stopping the acquisition of the characteristic parameters, it should also be detected whether the battery is discharged to a preset capacity. The characteristic parameters of the storage battery discharged to the preset capacity are acquired by the following steps:
s310, within the discharge time, obtaining characteristic parameters according to a preset time interval, and calculating the current capacity of the storage battery according to the characteristic parameters, wherein the characteristic parameters further comprise: the method comprises the following steps of battery terminal voltage, discharge duration, discharge current, battery rated capacity, acquisition time interval and acquisition times.
Some characteristic parameters are acquired only once during acquisition, for example: the rated capacity of the storage battery.
Some characteristic parameters need to be acquired for multiple times within the discharge time according to a preset time interval, for example: the voltage of the storage battery terminal, the discharge time length, the discharge current, the collection time interval, the collection times and the like.
Wherein, within the discharge time, the collection times are increased once every other preset time interval. The acquisition times n, the discharge time T and the preset time interval delta T have the following relations:
it should be noted that the number of times n of acquisition is an integer.
Optionally, the characteristic parameters acquired in each nuclear capacity discharge experiment are stored in a characteristic parameter library, and the characteristic parameters may be converted into a uniform file format, for example: the format of the Character Separated Values (CSV) is convenient for maintenance personnel to check the characteristic parameters of the storage battery.
And S320, comparing the current capacity of the storage battery with the preset capacity.
Wherein, in the discharge process, the characteristic parameters of collection: the discharge time T and the discharge current I can be used for calculating the current capacity C of the storage battery during discharge, and the specific calculation method is as follows:
the nuclear capacity discharge is a constant current discharge, and the discharge current I is a constant. Stopping discharging when the current capacity C of the storage battery reaches the preset capacity, and continuing to perform the nuclear-capacitor discharging and the acquisition of the nuclear-capacitor discharging parameters when the current capacity C of the storage battery does not reach the preset capacity.
Alternatively, the preset capacity may be set to eighty percent of the rated capacity of the battery.
After comparing the current capacity of the storage battery with the preset capacity, S330 may be performed.
And S330, stopping acquiring the characteristic parameters if the current capacity of the storage battery reaches the preset capacity.
When the storage battery discharges, the current capacity reaches the preset capacity, the acquired parameters can be used for analyzing the performance of the storage battery, and the acquisition of the characteristic parameters can be stopped.
After comparing the current capacity of the storage battery with the preset capacity, S331 may be performed.
And S331, if the current capacity of the storage battery does not reach the preset capacity, continuously acquiring the characteristic parameters.
If the current capacity of the storage battery does not reach the preset capacity, the currently obtained characteristic parameters are not enough to judge the performance of the storage battery, the storage battery continues to perform the capacity checking discharge, the characteristic parameters continue to be obtained, the obtained characteristic parameters are used for executing S330, whether the storage battery discharges to the preset capacity is continuously judged, and the collection of the characteristic parameters is stopped until the storage battery discharges to the preset capacity.
For the characteristic parameters acquired by the same storage battery at one time, after the current capacity of the storage battery is compared with the preset capacity, S330 or S331 is executed, and S330 and S331 cannot be executed at the same time by the same comparison result.
Fig. 4 is a flowchart of a method for analyzing battery capacity data according to another embodiment of the present invention.
Further, as shown in fig. 4, if all the cell voltages of the storage battery are greater than or equal to the preset voltage, the comparing step compares the cell voltages with the historical average voltage of the cells to obtain the health condition of the storage battery, and includes:
and S410, acquiring the cell voltage when the storage battery discharges to the preset capacity.
And S420, comparing the voltage of the battery cell with a preset voltage.
And S430, if the voltages of the single batteries in the storage battery are all larger than or equal to the preset voltage, acquiring the voltage drop amplitude of each single battery according to the voltages of the single batteries and the historical average voltage of the corresponding single battery.
If the cell voltages in the battery are all lower than the preset voltage, the battery is determined to be defective in S230.
Specifically, the cell voltage U1 and the historical average voltage of the cell voltage are acquired at the last time of the nuclear capacity discharge experiment
Compared with the voltage drop amplitude delta U of the single battery1The calculation formula of (a) is as follows:
when determining the health condition of the battery, each cell in the battery should calculate the voltage drop amplitude of the corresponding cell.
And S440, if the voltage drop amplitude of the single battery in the storage battery is larger than the preset drop amplitude, determining that the health condition of the storage battery is a first preset level.
Optionally, the preset reduction is 10%. If Δ U1>If the battery capacity is 10%, the battery cell capacity falls behind, the battery performance is obviously degraded, and the attention of maintenance personnel needs to be paid.
The first preset level is set according to the health condition of the battery, for example, set as a yellow warning for displaying the health condition of the battery.
And S441, if the voltage drop amplitude of the single battery in the storage battery is smaller than the preset drop amplitude, comparing the terminal voltage of the storage battery with the historical average terminal voltage of the storage battery of the same model to obtain the health condition of the storage battery.
Further, the preset reduction was 10%. If Δ U1<And 10 percent of the total battery capacity, the health condition of the battery cell is good, and the battery cell can be used as a good standby power supply.
Fig. 5 is a flowchart of a method for analyzing battery capacity data according to another embodiment of the present invention.
Further, as shown in fig. 5, if the voltage drop amplitude of the single battery in the storage battery is smaller than the preset drop amplitude, the terminal voltage of the storage battery is compared with the historical average terminal voltage of the storage battery of the same model, so as to obtain the health condition of the storage battery, including:
and S510, acquiring the cell voltage when the storage battery discharges to the preset capacity.
And S520, comparing the voltage of the battery cell with a preset voltage.
And S530, if the voltages of the single batteries in the storage battery are all larger than or equal to the preset voltage, acquiring the voltage drop amplitude of each single battery according to the voltages of the single batteries and the historical average voltage of the corresponding single battery.
And S540, if the voltage drop amplitude of the single battery in the storage battery is smaller than the preset drop amplitude, acquiring the terminal voltage drop amplitude of the storage battery according to the terminal voltage of the storage battery and the historical average voltage of the storage battery of the same type.
If the voltage drop of the battery cell is greater than the preset drop, in step S440, the battery health status is determined to be the first preset level.
Specifically, the terminal voltage U2 of the storage battery acquired at the last time in the nuclear capacity discharge experiment and the historical average voltage of the storage batteries of the same type are used as the basis
Compared with the voltage drop amplitude delta U of the single battery2The calculation formula of (a) is as follows:
and S550, if the terminal voltage reduction amplitude of the storage battery is larger than the preset terminal voltage reduction amplitude, determining that the health condition of the storage battery is at a second preset level.
Optionally, the preset reduction is 10%. If Δ U2>If the battery capacity is 10%, the battery capacity falls behind, and the deterioration of the battery performance becomes significant, which requires attention from maintenance personnel.
The second preset level is set according to the health condition of the battery, for example, set as a yellow warning for displaying the health condition of the battery.
And S551, if the terminal voltage reduction amplitude of the storage battery is smaller than the preset terminal voltage reduction amplitude, determining the health condition of the storage battery to be qualified.
Further, the preset reduction was 10%. If Δ U2<When 10%, the battery has a good health condition and can be used as a good backup power source.
It should be noted that, when the characteristic parameters are analyzed step by step, the sequence of the two embodiments of obtaining the voltage drop amplitude of each battery cell and the terminal voltage drop amplitude of the storage battery can be exchanged, that is, the characteristic parameters can be longitudinally compared with the historical characteristic parameters of the storage battery, and then the characteristic parameters are transversely compared with the historical characteristic parameters of the storage battery with the same model; or comparing the historical characteristic parameters of the batteries with the same type as the storage battery in the transverse direction, and comparing the historical characteristic parameters with the historical characteristic parameters of the storage battery in the longitudinal direction according to the comparison result.
Optionally, the health condition of the storage battery in the above embodiments may generate an analysis report, where the analysis report includes: the method comprises the following steps of obtaining various characteristic parameters of the storage battery, a storage battery terminal voltage-time curve graph, a discharge current-time curve graph, a discharge capacity-time curve graph, a battery monomer voltage histogram and a storage battery health condition result graph. The generated analysis report is convenient for maintenance personnel to know the parameters and the health condition of the storage battery, and the storage battery with backward capacity is supervised and maintained in a targeted manner.
Fig. 6 is a schematic structural diagram of a storage battery capacity data analysis apparatus according to an embodiment of the present invention.
In addition, as shown in fig. 6, the present invention also provides a storage battery capacity data analysis device, including: an acquisition module 601, a judgment module 602 and a determination module 603.
The obtaining module 601 is configured to obtain a characteristic parameter when the storage battery discharges to a preset capacity.
The determining module 602 is configured to compare the characteristic parameter with a preset condition.
A determining module 603, configured to determine that the storage battery is not qualified if the characteristic parameter does not meet the preset condition; and if the characteristic parameters meet the preset conditions, comparing the characteristic parameters with the historical characteristic parameters to obtain the health condition of the storage battery.
Further, the characteristic parameters include: cell voltage of the battery.
The determining module 602 is specifically configured to compare the cell voltage with a preset voltage.
The determining module 603 is specifically configured to determine that the storage battery is unqualified if the voltage of the battery cell in the storage battery is smaller than the preset voltage; and if the voltage of all the single batteries of the storage battery is greater than or equal to the preset voltage, comparing the voltage of the single batteries with the historical average voltage of the single batteries to obtain the health condition of the storage battery.
Further, the characteristic parameters further include: the method comprises the following steps of battery terminal voltage, discharge duration, discharge current, battery rated capacity, acquisition time interval and acquisition times.
The obtaining module 601 is configured to obtain the characteristic parameter according to a preset time interval within the discharge time.
The determining module 602 is further configured to compare the current capacity of the storage battery with a preset capacity.
The determining module 603 is further configured to control the obtaining module 601 to stop obtaining the characteristic parameter if the current capacity of the storage battery reaches a preset capacity; and if the current capacity of the storage battery does not reach the preset capacity, continuously acquiring the characteristic parameters.
Further, the determining module 603 is further configured to obtain a voltage drop amplitude of each cell according to the cell voltage of the storage battery when the storage battery discharges to the preset capacity and the historical average voltage of the corresponding cell. If the voltage drop amplitude of the single battery in the storage battery is larger than the preset drop amplitude, determining the health condition of the storage battery to be a first preset level; and if the voltage drop amplitude of the single battery in the storage battery is smaller than the preset drop amplitude, comparing the terminal voltage of the storage battery with the historical average terminal voltage of the storage battery of the same model to obtain the health condition of the storage battery.
Further, the determining module 603 is further configured to obtain a voltage drop amplitude of the terminal voltage of the storage battery according to the terminal voltage of the storage battery when the storage battery is discharged to the preset capacity and the historical average terminal voltage of the storage battery of the same model. If the terminal voltage descending amplitude of the storage battery is larger than the preset terminal voltage descending amplitude, determining that the health condition of the storage battery is a second preset level; and if the terminal voltage reduction amplitude of the storage battery is smaller than the preset terminal voltage reduction amplitude, determining the health condition of the storage battery to be qualified.
The method and the device for analyzing the storage battery nuclear capacity data provided by the embodiment collect characteristic parameters of a storage battery nuclear capacity discharge experiment, such as: the method comprises the steps of comparing the voltage of a storage battery terminal, the voltage of a single battery and the like, comparing the collected voltage of the single battery with a preset voltage, acquiring the health condition of the storage battery, comparing the acquired health condition with historical characteristic parameters of the storage battery respectively, analyzing the data of the capacity discharge of the storage battery step by step, judging the health condition of the storage battery more accurately, facilitating maintenance personnel to master the lagging condition of the storage battery, strengthening supervision and maintenance aiming at the lagging storage battery, and replacing the storage battery with serious performance degradation.
The apparatus may be configured to execute the method provided by the method embodiment, and the specific implementation manner and the technical effect are similar and will not be described herein again.
These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when one of the above modules is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Fig. 7 is a schematic structural diagram of a storage battery capacity data analysis system according to another embodiment of the present invention.
As shown in fig. 7, the apparatus includes: a processor 701 and a memory 702, wherein:
the memory 702 is used for storing programs, and the processor 701 calls the programs stored in the memory 702 to execute the above method embodiments. The specific implementation and technical effects are similar, and are not described herein again.
Optionally, the invention also provides a program product, for example a computer-readable storage medium, comprising a program which, when being executed by a processor, is adapted to carry out the above-mentioned method embodiments.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Claims (4)
1. A storage battery capacity data analysis method is characterized by comprising the following steps:
acquiring characteristic parameters when the storage battery is discharged to a preset capacity;
comparing the characteristic parameters with preset conditions;
if the characteristic parameters do not meet the preset conditions, determining that the storage battery is unqualified; if the characteristic parameters meet the preset conditions, comparing the characteristic parameters with historical characteristic parameters to obtain the health condition of the storage battery;
wherein the characteristic parameters include: cell voltage of the battery;
if the characteristic parameter meets the preset condition, comparing the characteristic parameter with a historical characteristic parameter to acquire the health condition of the storage battery, wherein the health condition comprises the following steps:
comparing the voltage of the single battery with a preset voltage;
if the voltage of the battery monomer in the storage battery is smaller than the preset voltage, determining that the storage battery is unqualified; if all the single battery voltages of the storage battery are greater than or equal to the preset voltage, comparing the single battery voltages with the historical average single battery voltage to obtain the health condition of the storage battery;
if all the cell voltages of the storage battery are greater than or equal to the preset voltage, comparing the cell voltages with the historical average cell voltage to obtain the health condition of the storage battery, wherein the health condition comprises the following steps:
obtaining the voltage drop amplitude of each single battery according to the single battery voltage of the storage battery and the historical average voltage of the corresponding single battery when the storage battery discharges to the preset capacity;
if the voltage drop amplitude of the battery monomer in the storage battery is larger than a preset drop amplitude, determining the health condition of the storage battery to be a first preset level; if the voltage drop amplitude of a single battery in the storage battery is smaller than a preset drop amplitude, comparing the terminal voltage of the storage battery with the historical average terminal voltage of the storage battery of the same type to obtain the health condition of the storage battery;
if the voltage drop amplitude of the single battery in the storage battery is smaller than the preset drop amplitude, comparing the terminal voltage of the storage battery with the historical average terminal voltage of the storage battery of the same type to acquire the health condition of the storage battery, wherein the health condition comprises the following steps:
acquiring the terminal voltage reduction amplitude of the storage battery according to the terminal voltage of the storage battery and the historical average terminal voltage of the storage battery of the same model when the storage battery is discharged to a preset capacity;
if the terminal voltage descending amplitude of the storage battery is larger than the preset terminal voltage descending amplitude, determining that the health condition of the storage battery is a second preset level; and if the terminal voltage descending amplitude of the storage battery is smaller than the preset terminal voltage descending amplitude, determining that the health condition of the storage battery is qualified.
2. The method for analyzing the storage battery nuclear capacity data according to claim 1, wherein the obtaining of the characteristic parameters when the storage battery is discharged to the preset capacity comprises:
within the discharge time, the characteristic parameters are obtained according to a preset time interval, and the current capacity of the storage battery is calculated according to the characteristic parameters, wherein the characteristic parameters further comprise: the method comprises the following steps of (1) terminal voltage, discharge duration, discharge current, rated capacity of the storage battery, acquisition time interval and acquisition times of the storage battery;
comparing the current capacity with the preset capacity;
if the current capacity reaches the preset capacity, stopping obtaining the characteristic parameters; and if the current capacity of the storage battery does not reach the preset capacity, continuously acquiring the characteristic parameters.
3. A storage battery capacity data analysis device is characterized by comprising:
the acquisition module is used for acquiring characteristic parameters when the storage battery is discharged to a preset capacity;
the judging module is used for comparing the characteristic parameters with preset conditions;
the determining module is used for determining that the storage battery is unqualified if the characteristic parameters do not meet the preset conditions; if the characteristic parameters meet the preset conditions, comparing the characteristic parameters with historical characteristic parameters to obtain the health condition of the storage battery;
wherein the characteristic parameters include: cell voltage of the battery;
the judging module is specifically used for comparing the single battery voltage with a preset voltage;
the determining module is specifically configured to determine that the storage battery is unqualified if the cell voltage in the storage battery is smaller than the preset voltage; if all the single battery voltages of the storage battery are greater than or equal to the preset voltage, comparing the single battery voltages with the historical average single battery voltage to obtain the health condition of the storage battery;
the determining module is specifically configured to obtain a voltage drop amplitude of each single battery according to a single battery voltage of the storage battery and a historical average voltage of a corresponding single battery when the storage battery is discharged to a preset capacity; if the voltage drop amplitude of the battery monomer in the storage battery is larger than a preset drop amplitude, determining the health condition of the storage battery to be a first preset level; if the voltage drop amplitude of a single battery in the storage battery is smaller than a preset drop amplitude, comparing the terminal voltage of the storage battery with the historical average terminal voltage of the storage battery of the same type to obtain the health condition of the storage battery;
the determining module is further used for acquiring the terminal voltage reduction amplitude of the storage battery according to the terminal voltage of the storage battery and the historical average terminal voltage of the storage battery of the same model when the storage battery is discharged to a preset capacity; if the terminal voltage descending amplitude of the storage battery is larger than the preset terminal voltage descending amplitude, determining that the health condition of the storage battery is a second preset level; and if the terminal voltage descending amplitude of the storage battery is smaller than the preset terminal voltage descending amplitude, determining that the health condition of the storage battery is qualified.
4. The apparatus according to claim 3, wherein the obtaining module is specifically configured to obtain the characteristic parameter at a preset time interval during a discharge time period, and calculate a current capacity of the battery according to the characteristic parameter, and the characteristic parameter further includes: the method comprises the following steps of (1) terminal voltage, discharge duration, discharge current, rated capacity of the storage battery, acquisition time interval and acquisition times of the storage battery;
the judging module is also used for comparing the current capacity of the storage battery with the preset capacity;
the determining module is further configured to control the obtaining module to stop obtaining the characteristic parameter if the current capacity of the storage battery reaches a preset capacity; and if the current capacity of the storage battery does not reach the preset capacity, the acquisition module continues to acquire the characteristic parameters.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811540720.1A CN109557469B (en) | 2018-12-14 | 2018-12-14 | Storage battery nuclear capacity data analysis method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811540720.1A CN109557469B (en) | 2018-12-14 | 2018-12-14 | Storage battery nuclear capacity data analysis method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109557469A CN109557469A (en) | 2019-04-02 |
| CN109557469B true CN109557469B (en) | 2020-10-13 |
Family
ID=65870156
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811540720.1A Active CN109557469B (en) | 2018-12-14 | 2018-12-14 | Storage battery nuclear capacity data analysis method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109557469B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110618388B (en) * | 2019-09-04 | 2023-01-17 | 苏州浪潮智能科技有限公司 | Battery performance detection method and device |
| CN111856308B (en) * | 2020-07-13 | 2023-04-28 | 深圳蓝信电气有限公司 | Periodic online activation capacity-checking method for storage battery of power supply equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101159340A (en) * | 2007-08-31 | 2008-04-09 | 奇瑞汽车有限公司 | Vehicle power management system |
| CN102253343A (en) * | 2011-04-21 | 2011-11-23 | 北京世纪瑞尔技术股份有限公司 | Method for estimating state of health and state of charge of storage battery |
| CN102749588A (en) * | 2012-06-20 | 2012-10-24 | 南京航空航天大学 | Method for fault diagnosis on basis of storage battery state of charge (SOC) and state of health (SOH) |
| CN105607004A (en) * | 2014-11-20 | 2016-05-25 | 北京普莱德新能源电池科技有限公司 | Lithium ion battery pack state-of-health evaluation method and lithium ion battery pack state-of-health evaluation system |
| CN105629172A (en) * | 2014-10-27 | 2016-06-01 | 中国移动通信集团甘肃有限公司 | Fault detection method and fault detection device for hybrid battery |
| CN106199450A (en) * | 2016-08-16 | 2016-12-07 | 成都市和平科技有限责任公司 | A kind of battery health evaluation system and method |
| CN106199435A (en) * | 2016-06-27 | 2016-12-07 | 芜湖格利特新能源科技有限公司 | A kind of electrokinetic cell performance estimating method |
| CN106505267A (en) * | 2016-11-29 | 2017-03-15 | 德阳九鼎智远知识产权运营有限公司 | A kind of full-sized car fuel cell management system and method |
| CN107933322A (en) * | 2017-11-17 | 2018-04-20 | 成都市思卡利科技有限公司 | A kind of intelligent electric motor car and its battery management system and method |
| CN107979169A (en) * | 2017-12-22 | 2018-05-01 | 珠海银隆电器有限公司 | Lithium titanate battery energy storage for power supply system and its control method for communication base station |
| CN108761337A (en) * | 2018-05-03 | 2018-11-06 | 自贡同发荣实业有限公司 | A kind of lithium battery management system |
-
2018
- 2018-12-14 CN CN201811540720.1A patent/CN109557469B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101159340A (en) * | 2007-08-31 | 2008-04-09 | 奇瑞汽车有限公司 | Vehicle power management system |
| CN102253343A (en) * | 2011-04-21 | 2011-11-23 | 北京世纪瑞尔技术股份有限公司 | Method for estimating state of health and state of charge of storage battery |
| CN102749588A (en) * | 2012-06-20 | 2012-10-24 | 南京航空航天大学 | Method for fault diagnosis on basis of storage battery state of charge (SOC) and state of health (SOH) |
| CN105629172A (en) * | 2014-10-27 | 2016-06-01 | 中国移动通信集团甘肃有限公司 | Fault detection method and fault detection device for hybrid battery |
| CN105607004A (en) * | 2014-11-20 | 2016-05-25 | 北京普莱德新能源电池科技有限公司 | Lithium ion battery pack state-of-health evaluation method and lithium ion battery pack state-of-health evaluation system |
| CN106199435A (en) * | 2016-06-27 | 2016-12-07 | 芜湖格利特新能源科技有限公司 | A kind of electrokinetic cell performance estimating method |
| CN106199450A (en) * | 2016-08-16 | 2016-12-07 | 成都市和平科技有限责任公司 | A kind of battery health evaluation system and method |
| CN106505267A (en) * | 2016-11-29 | 2017-03-15 | 德阳九鼎智远知识产权运营有限公司 | A kind of full-sized car fuel cell management system and method |
| CN107933322A (en) * | 2017-11-17 | 2018-04-20 | 成都市思卡利科技有限公司 | A kind of intelligent electric motor car and its battery management system and method |
| CN107979169A (en) * | 2017-12-22 | 2018-05-01 | 珠海银隆电器有限公司 | Lithium titanate battery energy storage for power supply system and its control method for communication base station |
| CN108761337A (en) * | 2018-05-03 | 2018-11-06 | 自贡同发荣实业有限公司 | A kind of lithium battery management system |
Non-Patent Citations (1)
| Title |
|---|
| 配电终端VRLA电池性能在线评估方法;汤定阳等;《蓄电池》;20151231;第52卷(第1期);第36-39页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109557469A (en) | 2019-04-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Sun et al. | Aging estimation method for lead-acid battery | |
| US10845421B2 (en) | Storage battery evaluation device, energy storage system, and storage battery evaluation method | |
| CN108089133A (en) | Energy-storage system consistency of battery pack detection method and detection device | |
| CN116936978A (en) | Intelligent monitoring method and system for storage battery bulge | |
| CN116956639B (en) | High-heat-dissipation storage battery assessment method and system based on data analysis | |
| CN112487031B (en) | Single battery fault detection method and device, readable storage medium and electronic equipment | |
| CN114977414B (en) | Battery storage intelligent management system based on multi-cluster parallel energy storage | |
| CN116401585B (en) | Energy storage battery failure risk assessment method based on big data | |
| CN109557469B (en) | Storage battery nuclear capacity data analysis method and device | |
| CN108701875A (en) | Mobile platform, computer readable storage medium, battery and its control method and system | |
| CN109406929A (en) | Open circuit online monitoring alarm device inside storage batteries of transformer substation group | |
| CN117214757A (en) | Lithium ion battery and battery pack health degree prediction method | |
| CN117192390A (en) | Energy storage battery safety assessment method, system, energy storage equipment and energy storage station | |
| CN110927609A (en) | Decline evaluation method and device for battery energy storage system by utilizing battery in echelon | |
| CN116840702A (en) | Method and device for detecting abnormality of storage battery in running state | |
| CN117388732A (en) | High-power density direct-current power supply safety monitoring method and system | |
| CN113805085B (en) | Battery pack welding quality detection method and device, energy storage system and storage medium | |
| CN109991550B (en) | Storage battery performance detection method, device, system and computer readable storage medium | |
| CN115236525A (en) | Echelon battery screening method, device and medium | |
| CN114594380A (en) | Battery SOC prediction method based on BP neural network | |
| Dunn et al. | A P-Value Approach for Real-Time Identifying the Capacity Regeneration Phenomenon of Lithium-ion Batteries | |
| CN108646193B (en) | Storage battery capacity evaluation method and terminal | |
| CN109802465A (en) | UPS battery charging online test method, device, storage medium and terminal device | |
| Chang et al. | State of Health Estimation and Remaining Useful Life Prediction of The Lithium Battery for New Energy Vehicles with Long Short-Term Memory Neural Network | |
| CN117129880B (en) | Method for estimating available capacity and health state of lead-acid storage battery |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |