CN104597406A - Method and device for analyzing and processing capacity drop of lithium cell energy storing system - Google Patents
Method and device for analyzing and processing capacity drop of lithium cell energy storing system Download PDFInfo
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- CN104597406A CN104597406A CN201410844008.6A CN201410844008A CN104597406A CN 104597406 A CN104597406 A CN 104597406A CN 201410844008 A CN201410844008 A CN 201410844008A CN 104597406 A CN104597406 A CN 104597406A
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- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 145
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 133
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000004146 energy storage Methods 0.000 claims description 142
- 230000007423 decrease Effects 0.000 claims description 79
- 230000036541 health Effects 0.000 claims description 34
- 230000008569 process Effects 0.000 claims description 27
- 238000004458 analytical method Methods 0.000 claims description 23
- 238000003672 processing method Methods 0.000 claims description 23
- 239000000284 extract Substances 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 abstract description 12
- 238000007599 discharging Methods 0.000 abstract 2
- 238000010586 diagram Methods 0.000 description 14
- 150000002641 lithium Chemical class 0.000 description 12
- 230000002950 deficient Effects 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 3
- 230000001737 promoting effect Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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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]
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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Abstract
The invention discloses a method for analyzing and processing the capacity drop of a lithium cell energy storing system. The method comprises the steps of recording voltage value, temperature value and capacity value of a running cell unit of the lithium cell energy storing system; storing the voltage value, temperature value and capacity value to a database; extracting the voltage value, temperature value and capacity value of each cell unit with the preset number in the same charging cycle and the same discharging cycle; generating a historical voltage curved line, a historical temperature curved line and a historical capacity curved line of each cell unit; comparing the historical voltage curved line, the historical temperature curved line or the historical capacity curved line of different cell units in the same charging cycle or the same discharging cycle; determining the cell unit which leads to system capacity drop. The invention further discloses an analyzing processing device. According to the method, the cell unit which leads to system capacity drop is determined according to the historical voltage curved line, the historical temperature curved line or the historical capacity curved line, and the technical effect of quickly positioning the cell unit to be replaced can be reached.
Description
Technical field
The invention belongs to technical field of battery management, particularly relate to lithium battery energy storage battery power system capacity decline analysis and processing method and APU.
Background technology
Due to, lithium battery energy storage battery system is applied in the industries such as electric automobile widely, so lithium battery energy storage battery system has the very large market demand.
But lithium battery energy storage battery system exists the problem of the following aspects: first: the actual capacity of each battery cell in lithium battery energy storage battery system is uneven, lithium battery energy storage battery power system capacity is easily caused to decline; Second: the time used along with lithium battery energy storage battery system is elongated, and in lithium battery energy storage battery system, the consume situation of each battery cell is inconsistent, easily causes lithium battery energy storage battery power system capacity to decline.
In sum, the technical matters of the battery cell how causing capacity to decline in quick position lithium battery energy storage battery system is current technical matters urgently to be resolved hurrily.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of lithium battery energy storage battery power system capacity decline analysis and processing method and APU, solves the technical matters of the battery cell that prior art can not cause capacity to decline in quick position lithium battery energy storage battery system.
For achieving the above object, the invention provides a kind of lithium battery energy storage battery power system capacity decline analysis and processing method, this lithium battery energy storage battery power system capacity decline analysis and processing method comprises the steps:
The magnitude of voltage of record lithium battery energy storage battery each battery cell of system in operational process, temperature value and capability value, and described magnitude of voltage, temperature value and capability value are stored in database.
Extract the identical charge cycle of each battery cell preset number and the magnitude of voltage in identical discharge cycle, temperature value and capability value in lithium battery energy storage battery system, generate the voltage history curve of each battery cell, Temperature history and capacity history curve.
The voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle, Temperature history or capacity history curve, determine the battery cell causing power system capacity to decline.
Preferably, the magnitude of voltage of described each battery cell of record lithium battery energy storage battery system in operational process, temperature value and capability value, and before described magnitude of voltage, temperature value and capability value being stored to the step in database, comprising:
Open the equalization function of lithium battery energy storage battery system, so that after a battery cell in lithium battery energy storage battery system reaches cut-off voltage, lithium battery energy storage battery system continues charge or discharge.
Preferably, the voltage history curve of described more different battery cell in identical charge cycle or discharge cycle, Temperature history or capacity history curve, determine the step of the battery cell causing power system capacity to decline, comprising:
The voltage drop slope of the voltage history curve in the voltage rise slope of the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle.
Obtain described voltage rise slope or voltage drop slope and be different from the remaining voltage rise slope of battery cell or the battery cell to be replaced of voltage drop slope.
Judge that whether the voltage history curve of the different charge cycle of described battery cell to be replaced or discharge cycle is identical.
If identical, the initial capacity of described battery cell to be replaced is little.
If different, the excessive battery capacity that causes of described battery cell consume to be replaced declines.
Preferably, the voltage history curve of described more different battery cell in identical charge cycle or discharge cycle, Temperature history or capacity history curve, determine the step of the battery cell causing power system capacity to decline, comprising:
The temperature rate of rise of the Temperature history of more different battery cell in identical charge cycle or discharge cycle.
Obtain the battery cell to be replaced that the described temperature rate of rise is different from the temperature rate of rise of remaining battery cell, described battery cell to be replaced is that Energy Efficiency Ratio is low.
Preferably, described more different battery cell, at the voltage history curve of identical charge cycle or discharge cycle, Temperature history or capacity history curve, is determined the step of the battery cell causing power system capacity to decline, being comprised:
Obtain the real system capability value MC of lithium battery energy storage battery system, and calculate battery health index SOH according to formula S OH=MC/DC*100%, wherein DC is nominal capacity value;
Judge that whether battery health index SOH is lower than default health value.
If so, the capacity attenuation slope of the capacity history curve of more different battery cell, and the battery cell to be replaced obtaining that described capacity attenuation slope is different from the capacity attenuation slope of remaining battery cell, the battery capacity of described battery cell to be replaced is little.
In addition, for achieving the above object, present invention also offers a kind of lithium battery energy storage battery power system capacity decline APU, this lithium battery energy storage battery power system capacity decline APU comprises:
Logging modle, for the magnitude of voltage of each battery cell of lithium battery energy storage battery system in operational process, temperature value and capability value, and is stored to described magnitude of voltage, temperature value and capability value in database.
Extraction module, for extracting each battery cell preset number identical charge cycle and the magnitude of voltage in identical discharge cycle, temperature value and capability value in lithium battery energy storage battery system, generate the voltage history curve of each battery cell, Temperature history and capacity history curve.
Comparison module, for the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle, Temperature history or capacity history curve, determines the battery cell causing power system capacity to decline.
Preferably, this lithium battery energy storage battery power system capacity decline APU also comprises:
Balance module, for opening the equalization function of lithium battery energy storage battery system, so that after a battery cell in lithium battery energy storage battery system reaches cut-off voltage, lithium battery energy storage battery system continues charge or discharge.
Preferably, this lithium battery energy storage battery power system capacity decline APU also comprises acquisition module and determination module.
Described comparison module, also for the voltage drop slope of the voltage history curve in the voltage rise slope of the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle.
Obtaining module, being different from the remaining voltage rise slope of battery cell or the battery cell to be replaced of voltage drop slope for obtaining described voltage rise slope or voltage drop slope.
Determination module, whether identical for judging the voltage history curve of the different charge cycle of described battery cell to be replaced or discharge cycle, if identical, the initial capacity of described battery cell to be replaced is little, if different, the excessive battery capacity that causes of described battery cell consume to be replaced declines.
Preferably, described comparison module, also for the temperature rate of rise of the Temperature history of more different battery cell in identical charge cycle or discharge cycle.
Described acquisition module, be also different from the battery cell to be replaced of the temperature rate of rise of remaining battery cell for obtaining the described temperature rate of rise, described battery cell to be replaced is that Energy Efficiency Ratio is low.
Preferably, described acquisition module, also for obtaining the real system capability value MC of lithium battery energy storage battery system, and calculate battery health index SOH according to formula S OH=MC/DC*100%, wherein DC is nominal capacity value.
Described determination module, also for judging that whether battery health index SOH is lower than default health value.
Described comparison module, also for the capacity attenuation slope of the capacity history curve of more different battery cell, and obtaining the battery cell to be replaced that described capacity attenuation slope is different from the capacity attenuation slope of remaining battery cell, the battery capacity of described battery cell to be replaced is little.
First, the magnitude of voltage of each battery cell in operational process, temperature value and capability value in record lithium battery energy storage battery system of the present invention, and this magnitude of voltage, temperature value and capability value are stored in database.
Secondly, when detecting lithium battery energy storage battery system, from database, extract the identical charge cycle of each battery cell preset number and the magnitude of voltage in identical discharge cycle, temperature value and capability value, generate the voltage history curve of each battery cell, Temperature history and capacity history curve.
Again, by the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle, Temperature history or capacity history curve, the battery cell causing power system capacity to decline is determined.
Finally, new battery cell is used to replace the battery cell causing power system capacity to decline.
In sum, the present invention, by above-mentioned mode, reaches the technique effect of the battery cell that quick position causes power system capacity to decline.
Meanwhile, the present invention rejects the inconsistent battery cell of performance by voltage history curve, Temperature history or capacity history curve, avoid lithium battery energy storage battery system due to the performance of battery cell inconsistent, cause the generation of capacity decline problem.
figure of description
Fig. 1 is the schematic flow sheet of lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 1 of the present invention;
Fig. 2 is the curve map of lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 1 of the present invention;
Fig. 3 is the process flow diagram of lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 2 of the present invention;
Fig. 4 is the process flow diagram of lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 3 of the present invention;
Fig. 5 is the process flow diagram of lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 4 of the present invention;
Fig. 6 is the process flow diagram of lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 5 of the present invention;
Fig. 7 is the functional block diagram of lithium battery energy storage battery power system capacity decline APU embodiment 6 of the present invention;
Fig. 8 is the functional block diagram of lithium battery energy storage battery power system capacity decline APU embodiment 7 of the present invention;
Fig. 9 is the functional block diagram of lithium battery energy storage battery power system capacity decline APU embodiment 8 of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not used for limiting the present invention.
Embodiment 1
See the schematic flow sheet that Fig. 1 and Fig. 2, Fig. 1 are lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 1 of the present invention; Fig. 2 is the curve map of lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 1 of the present invention.
In embodiment 1, the invention provides a kind of lithium battery energy storage battery power system capacity decline analysis and processing method, it comprises the steps:
Step S10, the magnitude of voltage of record lithium battery energy storage battery each battery cell of system in operational process, temperature value and capability value, and described magnitude of voltage, temperature value and capability value are stored in database.
The operational process of each battery cell of lithium battery energy storage battery system comprises charging process and discharge process.
In the operational process of lithium battery energy storage battery system, record the magnitude of voltage of each battery cell of lithium battery energy storage battery system, temperature value and capability value, and the magnitude of voltage of each battery cell, temperature value and capability value are stored in database.
The present invention, by the magnitude of voltage of each battery cell, temperature value and capability value are stored to database, reaches the technique effect providing Data support for locating the battery cell causing lithium battery energy storage battery power system capacity to decline.
Step S11, extract the identical charge cycle of each battery cell preset number and the magnitude of voltage in identical discharge cycle, temperature value and capability value in lithium battery energy storage battery system, generate the voltage history curve 3 of each battery cell, Temperature history 2 and capacity history curve 1.
Extract from database the N number of identical charge cycle of each battery cell in lithium battery energy storage battery system and discharge cycle magnitude of voltage, temperature value and capability value, generate the voltage history curve 3 of each battery cell, Temperature history 2 and capacity history curve 1.
The voltage history curve 3 of each battery cell, Temperature history 2 and capacity history curve 1 form the curve map of Fig. 2 of the present invention.
Mark 1 in Fig. 2 is the curve map of the SOC (residual capacity) of each battery cell of lithium battery energy storage battery system; Mark 2 is the Temperature history of each battery cell of lithium battery energy storage battery system; Mark 3 is each battery cell voltage history curve of lithium battery energy storage battery system, and mark 4 is the current history curve of lithium battery energy storage battery system.
It should be noted that; the present invention can be as required; the parameter of the reaction cell performances such as recording voltage, electric current, battery capacity and battery temperature; again according to the data message of record; generate history curve, determined the technical scheme of the battery cell causing power system capacity to decline by history curve, all can solve technical matters of the present invention; therefore, all within protection scope of the present invention.
Step S12, the voltage history curve 3 of more different battery cell in identical charge cycle or identical discharge cycle, Temperature history 2 or capacity history curve 1, determine the battery cell causing power system capacity to decline.
The present invention is by voltage history curve 3, Temperature history 2 or the capacity history curve 1 in more identical charge cycle or identical discharge cycle, if there is the battery cell different from the voltage history curve 3 of remaining battery cell, Temperature history 2 or capacity history curve 1, then determine that this battery cell is the battery cell causing power system capacity to decline.
First, the magnitude of voltage of each battery cell in operational process, temperature value and capability value in record lithium battery energy storage battery system of the present invention, and this magnitude of voltage, temperature value and capability value are stored in database.
Secondly, when detecting lithium battery energy storage battery system, from database, extract the identical charge cycle of each battery cell preset number and the magnitude of voltage in identical discharge cycle, temperature value and capability value, generate the voltage history curve of each battery cell, Temperature history and capacity history curve.
Again, by the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle, Temperature history or capacity history curve, the battery cell causing power system capacity to decline is determined.
Finally, new battery cell is used to replace the battery cell causing power system capacity to decline.
In sum, the present invention, by above-mentioned mode, reaches the technique effect of the battery cell that quick position causes power system capacity to decline.
Meanwhile, the present invention rejects the inconsistent battery cell of performance by voltage history curve, Temperature history or capacity history curve, avoid lithium battery energy storage battery system due to the performance of battery cell inconsistent, cause the generation of capacity decline problem.
Embodiment 2
See the process flow diagram that Fig. 3, Fig. 3 are lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 2 of the present invention.
In example 2, substantially identical with the step of above-described embodiment 1, difference is, before described step S10, also comprises:
Step S20, opens the equalization function of lithium battery energy storage battery system, so that after a battery cell in lithium battery energy storage battery system reaches cut-off voltage, lithium battery energy storage battery system continues charge or discharge.
The present invention passes through equalization function, reach the disposable technique effect determining all battery cells causing lithium battery energy storage battery power system capacity to decline in lithium battery energy storage battery system, and the technique effect of the locating speed of the battery cell causing lithium battery energy storage battery power system capacity to decline in lifting lithium battery energy storage battery system.
Embodiment 3
See the process flow diagram that Fig. 4, Fig. 4 are lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 3 of the present invention.
In embodiment 3, substantially identical with the step of above-described embodiment 1, difference is, described step S12, comprising:
Step S30, the voltage drop slope of the voltage history curve in the voltage rise slope of the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle;
The voltage rise slope of the voltage history curve of more different battery cell in identical charge cycle.
Or, the voltage drop slope of the voltage history curve of more different battery cell in identical discharge cycle.
Step S31, obtains described voltage rise slope or voltage drop slope is different from the remaining voltage rise slope of battery cell or the battery cell to be replaced of voltage drop slope.
By the comparison of step S30, when there is the battery cell of poor-performing, its voltage rise slope or voltage drop slope will be different from voltage rise slope or the voltage drop slope of remaining battery cell.
The voltage rise slope of battery cell or the battery cell of voltage drop slope that are different from remainder are battery cell to be replaced.
Step S32, judges that whether the voltage history curve of the different charge cycle of described battery cell to be replaced or discharge cycle is identical.;
After judging battery cell to be replaced, the present invention judges that whether the voltage history curve of the different charge cycle of this battery cell to be replaced or discharge cycle is identical.
Step S33, if identical, the initial capacity of described battery cell to be replaced is little.
If the voltage history curve of the different charge cycle of this battery cell to be replaced or discharge cycle is identical, when illustrating from the beginning, the capacity of this battery cell is just less.
Step S34, if different, the excessive battery capacity that causes of described battery cell consume to be replaced declines.
If the voltage history curve of the different charge cycle of this battery cell to be replaced or discharge cycle is not identical, then illustrate in use, this battery cell consume to be replaced is larger.
The present invention determines battery cell to be replaced by the voltage rise slope of voltage history curve or voltage drop slope, and can judge that this battery cell to be replaced is that initial capacity is little, or, in use procedure, consume the excessive capacity that causes little.
Embodiment 4
See the process flow diagram that Fig. 5, Fig. 5 are lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 4 of the present invention.
In example 4, substantially identical with the step of above-described embodiment 1, difference is, described step S12, comprising:
Step S40, the temperature rate of rise of the Temperature history of more different battery cell in identical charge cycle or discharge cycle.
The present invention is by the temperature rate of rise of the Temperature history of more different battery cell in identical charge cycle.
Or, by the temperature rate of rise of the Temperature history of more different battery cell in identical discharge cycle
Step S41, obtain the battery cell to be replaced that the described temperature rate of rise is different from the temperature rate of rise of remaining battery cell, described battery cell to be replaced is that Energy Efficiency Ratio is low.
When there is the temperature rate of rise and be different from the battery cell of the temperature rate of rise of remaining battery cell, then this battery cell is battery cell to be replaced, and the Energy Efficiency Ratio of this battery cell to be replaced is low.
The present invention is low by the Energy Efficiency Ratio of the battery cell that Temperature history is determined, by rejecting the low battery cell of Energy Efficiency Ratio, the Energy Efficiency Ratio making all battery cells forming lithium battery energy storage battery system is all qualified, or even outstanding, reach the technique effect of the quality promoting lithium battery energy storage battery system.
Embodiment 5
See the process flow diagram that Fig. 6, Fig. 6 are lithium battery energy storage battery power system capacity decline analysis and processing method embodiment 5 of the present invention.
In embodiment 5, substantially identical with the step of above-described embodiment 1, difference is, described step S12, comprising:
Step S50, obtains the real system capability value MC of lithium battery energy storage battery system, and calculates battery health index SOH according to formula S OH=MC/DC*100%, and wherein DC is nominal capacity value.
First, lithium battery energy storage battery system of the present invention is full of-gives out light once, does and once demarcates, and this calibration result is real system capability value MC.
Secondly, calculate battery health index SOH according to formula S OH=MC/DC*100%, wherein DC is nominal capacity value.
Step S51, judges that whether battery health index SOH is lower than default health value.
The battery health index SOH that step S50 calculates by the present invention and default health value compare.
Step S52, if, the capacity attenuation slope of the capacity history curve of more different battery cell, and the battery cell to be replaced obtaining that described capacity attenuation slope is different from the capacity attenuation slope of remaining battery cell, the battery capacity of described battery cell to be replaced is little.
If lower than default health value, then illustrate that the power system capacity of this lithium battery energy storage battery system is defective.
Compare the capacity attenuation slope of the capacity history curve of each battery cell in this lithium battery energy storage battery system again, i.e. slope of a curve.
When there is capacity attenuation slope and be different from the battery cell of the capacity attenuation slope of remaining battery cell, this battery cell is battery cell to be replaced.
Step S53, if not, this lithium battery energy storage battery system is qualified.
If be greater than or equal to default health value, then illustrate that the power system capacity of this lithium battery energy storage battery system is qualified.
The present invention, by battery health index SOH, judges that whether current lithium battery energy storage battery system is qualified fast.
If qualified, then carry out the judgement of next lithium battery energy storage battery system, reach and accelerate the judgement whether qualified to lithium battery energy storage battery system.
If defective, the then capacity attenuation slope of the capacity history curve of more different battery cell, reject the battery cell that capacity attenuation slope is same as the capacity attenuation slope of remaining battery cell, guarantee that the battery health index SOH of lithium battery energy storage battery system is greater than or equal to default health value.
Embodiment 6
See the functional block diagram that Fig. 7, Fig. 7 are lithium battery energy storage battery power system capacity decline APU embodiment 6 of the present invention.
For achieving the above object, the embodiment of the present invention 6 additionally provides a kind of lithium battery energy storage battery power system capacity decline APU, and it comprises:
Logging modle 10, for the magnitude of voltage of each battery cell of lithium battery energy storage battery system in operational process, temperature value and capability value, and is stored to described magnitude of voltage, temperature value and capability value in database.
The operational process of each battery cell of lithium battery energy storage battery system comprises charging process and discharge process.
In the operational process of lithium battery energy storage battery system, logging modle 10 records the magnitude of voltage of each battery cell of lithium battery energy storage battery system, temperature value and capability value, meanwhile, the magnitude of voltage of each battery cell, temperature value and capability value are stored in database by logging modle 10.
The magnitude of voltage of each battery cell, temperature value and capability value are stored to database by logging modle 10 by the present invention, reach the technique effect providing Data support for locating the battery cell causing lithium battery energy storage battery power system capacity to decline.
Extraction module 11, for extracting the identical charge cycle of each battery cell preset number and the magnitude of voltage in identical discharge cycle, temperature value and capability value in lithium battery energy storage battery system, generate the voltage history curve of each battery cell, Temperature history and capacity history curve.
Extraction module 11 extract from database the N number of identical charge cycle of each battery cell in lithium battery energy storage battery system and discharge cycle magnitude of voltage, temperature value and capability value, generate the voltage history curve of each battery cell, Temperature history and capacity history curve.
It should be noted that; the present invention can be as required; the parameter of the reaction cell performances such as recording voltage, electric current, battery capacity and battery temperature; extraction module 11 extracts the data message of record again; generate history curve, determined the technical scheme of the battery cell causing power system capacity to decline by history curve, all can solve technical matters of the present invention; therefore, all within protection scope of the present invention.
Comparison module 12, for the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle, Temperature history or capacity history curve, determines the battery cell causing power system capacity to decline.
The present invention is by voltage history curve, Temperature history or the capacity history curve in the more identical charge cycle of comparison module 12 or identical discharge cycle, if there is the battery cell different from the voltage history curve of remaining battery cell, Temperature history or capacity history curve, then determine that this battery cell is the battery cell causing power system capacity to decline.
First, logging modle 10 of the present invention records the magnitude of voltage of each battery cell in operational process, temperature value and capability value in lithium battery energy storage battery system, and this magnitude of voltage, temperature value and capability value is stored in database.
Secondly, when detecting lithium battery energy storage battery system, extraction module 11 extracts the identical charge cycle of each battery cell preset number and the magnitude of voltage in identical discharge cycle, temperature value and capability value from database, generates the voltage history curve of each battery cell, Temperature history and capacity history curve.
Again, comparison module 12, by the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle, Temperature history or capacity history curve, determines the battery cell causing power system capacity to decline.
Finally, new battery cell is used to replace the battery cell causing power system capacity to decline.
In sum, the present invention, by above-mentioned mode, reaches the technique effect of the battery cell that quick position causes power system capacity to decline.
Meanwhile, the present invention rejects the inconsistent battery cell of performance by voltage history curve, Temperature history or capacity history curve, avoid lithium battery energy storage battery system due to the performance of battery cell inconsistent, cause the generation of capacity decline problem.
Embodiment 7
See the functional block diagram that Fig. 8, Fig. 8 are lithium battery energy storage battery power system capacity decline APU embodiment 7 of the present invention.
In embodiment 7, substantially identical with the functional module of above-described embodiment 6, difference is, lithium battery energy storage battery power system capacity decline APU also comprises:
Balance module 20, for opening the equalization function of lithium battery energy storage battery system, so that after a battery cell in lithium battery energy storage battery system reaches cut-off voltage, lithium battery energy storage battery system continues charge or discharge.
The present invention is by balance module 20, reach the disposable technique effect determining all battery cells causing lithium battery energy storage battery power system capacity to decline in lithium battery energy storage battery system, and the technique effect of the locating speed of the battery cell causing lithium battery energy storage battery power system capacity to decline in lifting lithium battery energy storage battery system.
Embodiment 8
See the functional block diagram that Fig. 9, Fig. 9 are lithium battery energy storage battery power system capacity decline APU embodiment 8 of the present invention.
In embodiment 8, substantially identical with the functional module of above-described embodiment 6, difference is, lithium battery energy storage battery power system capacity decline APU also comprises acquisition module 30 and determination module 31;
Described comparison module 12, also for the voltage drop slope of the voltage history curve in the voltage rise slope of the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle.
The voltage rise slope of the voltage history curve of the more different battery cell of comparison module 12 in identical charge cycle.
Or, the voltage drop slope of the voltage history curve of the more different battery cell of comparison module 12 in identical discharge cycle.
Obtaining module 30, being different from the remaining voltage rise slope of battery cell or the battery cell to be replaced of voltage drop slope for obtaining described voltage rise slope or voltage drop slope.
When there is the battery cell of poor-performing, acquisition module 30 obtains voltage rise slope or voltage drop slope will be different from the remaining voltage rise slope of battery cell or the battery cell of voltage drop slope, and this battery cell is battery cell to be replaced.
Determination module 31, whether identical for judging the voltage history curve of the different charge cycle of described battery cell to be replaced or discharge cycle, if identical, the initial capacity of described battery cell to be replaced is little, if different, the excessive battery capacity that causes of described battery cell consume to be replaced declines.
Determination module 31, judges that whether the voltage history curve of the different charge cycle of described battery cell to be replaced or discharge cycle is identical.
If the voltage history curve of the different charge cycle of this battery cell to be replaced or discharge cycle is identical, when illustrating from the beginning, the capacity of this battery cell is just less.
If the voltage history curve of the different charge cycle of this battery cell to be replaced or discharge cycle is not identical, then illustrate in use, this battery cell consume to be replaced is larger.
The present invention determines battery cell to be replaced by the voltage rise slope of voltage history curve or voltage drop slope, and can judge that this battery cell to be replaced is that initial capacity is little, or, in use procedure, consume the excessive capacity that causes little.
Further,
Described comparison module 12, also for the temperature rate of rise of the Temperature history of more different battery cell in identical charge cycle or discharge cycle.
The present invention is by the temperature rate of rise of the Temperature history of the more different battery cell of comparison module 12 in identical charge cycle.
Or, by the temperature rate of rise of the Temperature history of the more different battery cell of comparison module 12 in identical discharge cycle.
Described acquisition module 30, be also different from the battery cell to be replaced of the temperature rate of rise of remaining battery cell for obtaining the described temperature rate of rise, described battery cell to be replaced is that Energy Efficiency Ratio is low.
Obtain module 30 and obtain the battery cell that the temperature rate of rise is different from the temperature rate of rise of remaining battery cell, then this battery cell is battery cell to be replaced, and the Energy Efficiency Ratio of this battery cell to be replaced is low.
The present invention is low by the Energy Efficiency Ratio of the battery cell that Temperature history is determined, by rejecting the low battery cell of Energy Efficiency Ratio, the Energy Efficiency Ratio making all battery cells forming lithium battery energy storage battery system is all qualified, or even outstanding, reach the technique effect of the quality promoting lithium battery energy storage battery system.
Further,
Described acquisition module 30, also for obtaining the real system capability value MC of lithium battery energy storage battery system, and calculate battery health index SOH according to formula S OH=MC/DC*100%, wherein DC is nominal capacity value.
First, the present invention obtains module 30 and is full of-gives out light once by lithium battery energy storage battery system, does and once demarcates, and this calibration result is real system capability value MC.
Secondly, obtain module 30 and calculate battery health index SOH according to formula S OH=MC/DC*100%, wherein DC is nominal capacity value.
Described determination module 31, also for judging that whether battery health index SOH is lower than default health value.
Determination module 31 is according to obtaining the battery health index SOH that calculates of module 30 and default health value compares.
If lower than default health value, then illustrate that the power system capacity of this lithium battery energy storage battery system is defective.
If higher than or equal default health value, then illustrate that the power system capacity of this lithium battery energy storage battery system is qualified.
Described comparison module 12, also for the capacity attenuation slope of the capacity history curve of more different battery cell, and obtaining the battery cell to be replaced that described capacity attenuation slope is different from the capacity attenuation slope of remaining battery cell, the battery capacity of described battery cell to be replaced is little.
When the power system capacity of this lithium battery energy storage battery system is defective, comparison module 12 compares the capacity attenuation slope of the capacity history curve of each battery cell in this lithium battery energy storage battery system, i.e. slope of a curve.
Comparison module 12 obtains there is the battery cell that capacity attenuation slope is different from the capacity attenuation slope of remaining battery cell, and this battery cell is battery cell to be replaced.
The present invention, by battery health index SOH, judges that whether current lithium battery energy storage battery system is qualified fast.
If qualified, then carry out the judgement of next lithium battery energy storage battery system, reach and accelerate the judgement whether qualified to lithium battery energy storage battery system.
If defective, the then capacity attenuation slope of the capacity history curve of more different battery cell, reject the battery cell that capacity attenuation slope is same as the capacity attenuation slope of remaining battery cell, guarantee that the battery health index SOH of lithium battery energy storage battery system is greater than or equal to default health value.
Be described in detail the embodiment of invention above, but it is as example, the present invention does not limit and embodiment described above.For a person skilled in the art, any equivalent modifications or alternative also all among category of the present invention that this invention is carried out, therefore, not departing from the equalization conversion and amendment, improvement etc. done under the spirit and principles in the present invention scope, all should contain within the scope of the invention.
Claims (10)
1. a lithium battery energy storage battery power system capacity decline analysis and processing method, it is characterized in that, it comprises the steps:
The magnitude of voltage of record lithium battery energy storage battery each battery cell of system in operational process, temperature value and capability value, and described magnitude of voltage, temperature value and capability value are stored in database;
Extract the identical charge cycle of each battery cell preset number and the magnitude of voltage in identical discharge cycle, temperature value and capability value in lithium battery energy storage battery system, generate the voltage history curve of each battery cell, Temperature history and capacity history curve;
The voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle, Temperature history or capacity history curve, determine the battery cell causing power system capacity to decline.
2. lithium battery energy storage battery power system capacity decline analysis and processing method according to claim 1, it is characterized in that, the magnitude of voltage of described each battery cell of record lithium battery energy storage battery system in operational process, temperature value and capability value, and before described magnitude of voltage, temperature value and capability value being stored to the step in database, comprising:
Open the equalization function of lithium battery energy storage battery system, so that after a battery cell in lithium battery energy storage battery system reaches cut-off voltage, lithium battery energy storage battery system continues charge or discharge.
3. lithium battery energy storage battery power system capacity decline analysis and processing method according to claim 1, it is characterized in that, the voltage history curve of described more different battery cell in identical charge cycle or discharge cycle, Temperature history or capacity history curve, determine the step of the battery cell causing power system capacity to decline, comprising:
The voltage drop slope of the voltage history curve in the voltage rise slope of the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle;
Obtain described voltage rise slope or voltage drop slope and be different from the remaining voltage rise slope of battery cell or the battery cell to be replaced of voltage drop slope;
Judge that whether the voltage history curve of the different charge cycle of described battery cell to be replaced or discharge cycle is identical;
If identical, the initial capacity of described battery cell to be replaced is little;
If different, the excessive battery capacity that causes of described battery cell consume to be replaced declines.
4. lithium battery energy storage battery power system capacity decline analysis and processing method according to claim 1, it is characterized in that, the voltage history curve of described more different battery cell in identical charge cycle or discharge cycle, Temperature history or capacity history curve, determine the step of the battery cell causing power system capacity to decline, comprising:
The temperature rate of rise of the Temperature history of more different battery cell in identical charge cycle or discharge cycle;
Obtain the battery cell to be replaced that the described temperature rate of rise is different from the temperature rate of rise of remaining battery cell, described battery cell to be replaced is that Energy Efficiency Ratio is low.
5. lithium battery energy storage battery power system capacity decline analysis and processing method according to claim 1, it is characterized in that, described more different battery cell is at the voltage history curve of identical charge cycle or discharge cycle, Temperature history or capacity history curve, determine the step of the battery cell causing power system capacity to decline, comprising:
Obtain the real system capability value MC of lithium battery energy storage battery system, and calculate battery health index SOH according to formula S OH=MC/DC*100%, wherein DC is nominal capacity value;
Judge that whether battery health index SOH is lower than default health value;
If so, the capacity attenuation slope of the capacity history curve of more different battery cell, and the battery cell to be replaced obtaining that described capacity attenuation slope is different from the capacity attenuation slope of remaining battery cell, the battery capacity of described battery cell to be replaced is little.
6. a lithium battery energy storage battery power system capacity decline APU, is characterized in that, it is characterized in that: it comprises:
Logging modle, for the magnitude of voltage of each battery cell of lithium battery energy storage battery system in operational process, temperature value and capability value, and is stored in database by described magnitude of voltage, temperature value and capability value;
Extraction module, for extracting each battery cell preset number identical charge cycle and the magnitude of voltage in identical discharge cycle, temperature value and capability value in lithium battery energy storage battery system, generate the voltage history curve of each battery cell, Temperature history and capacity history curve;
Comparison module, for the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle, Temperature history or capacity history curve, determines the battery cell causing power system capacity to decline.
7. lithium battery energy storage battery power system capacity decline APU according to claim 6, it is characterized in that, it also comprises:
Balance module, for opening the equalization function of lithium battery energy storage battery system, so that after a battery cell in lithium battery energy storage battery system reaches cut-off voltage, lithium battery energy storage battery system continues charge or discharge.
8. lithium battery energy storage battery power system capacity decline APU according to claim 6, is characterized in that, it also comprises acquisition module and determination module;
Described comparison module, also for the voltage drop slope of the voltage history curve in the voltage rise slope of the voltage history curve of more different battery cell in identical charge cycle or identical discharge cycle;
Obtaining module, being different from the remaining voltage rise slope of battery cell or the battery cell to be replaced of voltage drop slope for obtaining described voltage rise slope or voltage drop slope;
Determination module, whether identical for judging the voltage history curve of the different charge cycle of described battery cell to be replaced or discharge cycle, if identical, the initial capacity of described battery cell to be replaced is little, if different, the excessive battery capacity that causes of described battery cell consume to be replaced declines.
9. lithium battery energy storage battery power system capacity decline APU according to claim 8, is characterized in that,
Described comparison module, also for the temperature rate of rise of the Temperature history of more different battery cell in identical charge cycle or discharge cycle;
Described acquisition module, be also different from the battery cell to be replaced of the temperature rate of rise of remaining battery cell for obtaining the described temperature rate of rise, described battery cell to be replaced is that Energy Efficiency Ratio is low.
10. lithium battery energy storage battery power system capacity decline APU according to claim 8, is characterized in that,
Described acquisition module, also for obtaining the real system capability value MC of lithium battery energy storage battery system, and calculate battery health index SOH according to formula S OH=MC/DC*100%, wherein DC is nominal capacity value;
Described determination module, also for judging that whether battery health index SOH is lower than default health value;
Described comparison module, also for the capacity attenuation slope of the capacity history curve of more different battery cell, and obtaining the battery cell to be replaced that described capacity attenuation slope is different from the capacity attenuation slope of remaining battery cell, the battery capacity of described battery cell to be replaced is little.
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