CN108417916A - Consider the inconsistent battery sorting parameter determination method with aging co-evolution of battery - Google Patents
Consider the inconsistent battery sorting parameter determination method with aging co-evolution of battery Download PDFInfo
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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
Abstract
The invention discloses consider the inconsistent battery sorting parameter determination method with aging co-evolution of battery, characterized in that including：Determine the sorting parameter error range initial value of energy-storage battery group；Battery inconsistency and aging co-evolution process simulator are built, analogue simulation is carried out to energy-storage battery using the emulator, obtains simulation result, the battery behavior parameter and environmental parameter of the energy-storage battery after being simulated；Availability assessment is carried out for the battery pack after emulation, judges whether battery pack meets application scenarios energy storage demand；Sorting parameter error range feedback adjustment of the availability assessment result to energy-storage battery group is carried out according to battery pack.The present invention realizes the battery personalized customization sorting for being intimately associated battery applications scene charge-discharge characteristics, improves retired power battery and recycles sorting scientific and combo success rate.
Description
Technical field
It is inconsistent with aging co-evolution more particularly to battery is considered the present invention relates to battery sorting group technology field
The determination of the battery sorting parameter of process, suitable for providing scientific and reasonable sorting parameter for the sorting of retired power battery.
Background technology
With the gradual depletion of fossil energy with the mankind to the growing interest of environmental problem, clean renewable energy power generation
It expands rapidly, the energy revolution iterative method of a new round.However, regenerative resource has the intrinsic spy of fluctuation and randomness
Sign, lot of challenges is proposed to safe and stable, the economical operation of power grid.Energy storage technology is the effective means for coping with above-mentioned challenge,
Build the research topic that economy of large scale energy-storage system is significant.In addition to water-storage, battery energy storage is at this stage most
Have the energy storage technology of future in engineering applications, but the battery energy storage cost based on new battery is still higher, is based on retired power electric
Structure inexpensive power grid energy-storage system in pond gradually becomes research direction.
However, must solve the sorting of retired battery based on retired power battery structure large-scale energy storage system and ask in groups
Topic.To solve the above problems, the echelon that part patent of invention discloses retired power battery utilizes sorting classifying method.
In the prior art, application No. is CN201110410608.8 to provide a kind of electric automobile power battery echelon utilization
Stage division, the stage division includes the following steps：(1) Theoretic Analysis is carried out using power battery to echelon, judged
Whether power battery can carry out echelon utilization；(2) battery utilized for energy echelon carries out preliminary according to its external characteristics parameter
Then classification is sampled internal characteristic analysis to the battery of each rank；(3) on the basis of interior Theoretic Analysis, in foundation
Incidence relation between external characteristics parameter, and the health status of battery is assessed；(4) by cell health state assessment result
It is combined with the use condition of battery, echelon is classified using power battery.
Application No. is CN201310261893.0 to disclose a kind of waste and old power battery cascade utilization screening method, the method
Step is：(1) it charges to waste and old power battery pack, it is 15-80% to make its state-of-charge SOC；(2) each list is detected
The open-circuit voltage of body battery and internal resistance；(3) above-mentioned waste and old power battery monomer is in parallel, until its open-circuit voltage is essentially identical,
With it is in parallel before single battery open-circuit voltage compare, and recording voltage lift situation；Then by waste and old single battery and standard list
Body battery is shelved 3~7 days or is shelved at room temperature 10-30 days under the conditions of temperature is 30-55 DEG C, detect its open-circuit voltage and
Internal resistance；(4) waste and old power battery monomer show, open-circuit voltage, internal resistance, voltage drop and health status are compared, to waste and old power electric
Pond monomer is classified, and battery pack and the energy storage power grid with level-one are used cooperatively.
Application No. is CN201310389331.4 to disclose a kind of analysis method that power battery echelon utilizes, including following
Step：S1, the power battery being analysed to are assessed to obtain the power battery for having echelon utility value；S2, described in test
Have the static characteristic parameter and dynamic characteristic parameter of the power battery of echelon utility value, and according to the static characteristic parameter and
Dynamic characteristic parameter carries out echelon screening from capacity and power perspective to the power battery for having echelon utility value respectively；
S3, the power battery after being screened to echelon, which is classified, to be used.
Application No. is CN201310030876.6 to disclose a kind of complementary energy echelon utilization side of Prospect of EVS Powered with Batteries
Method includes the following steps：(1) it disassembles and discards power battery pack；(2) battery cell of no cosmetic damage is subjected to performance detection,
It filters out the battery cell that can be used directly and is directly entered step (5), filter out the battery cell that can be repaired again, enter step
(3) it handles；The battery cell for filtering out unrepairable scraps processing；(3) battery cell that can be repaired again is repaired；(4) right
The battery cell repaired carries out performance detection, filters out the difference of rated voltage and virtual voltage no more than 0.02V and practical appearance
Amount carries out next step processing not less than 70% battery cell of nominal capacity, and has repaired but battery that performance is not up to standard
Monomer scraps processing；(5) battery pack is reassembled into；(6) power battery pack for assembling newly.
Application No. is CN201410433190.6 to propose based on battery SOH (i.e. cell health state, State of
Health), the availability assessment index of the internal resistance of cell, diaphragm puncture intensity rate of descent, diaphragm porosity and secondary cycle service life,
And provide retired power single lithium battery availability core parameter index numerical value：As battery SOH should not less than 60%, internal resistance value
It is required not less than 30% no more than 18%, diaphragm porosity more than 5m Ω, diaphragm puncture intensity rate of descent.
Above-mentioned work has basically formed retired power battery sorting and groups of basic procedure again, and giving assessment battery can
With many indexes and method of property, the common core of method for separating is：Measure retired power battery monomer static state and/
Or dynamic characteristic parameter (such as capacity, internal resistance, open-circuit voltage, charge-discharge characteristic curve), the deviation that specified sorting parameter should meet
Range is divided into different groups according to the difference of range residing for battery behavior parameter, and assembly obtains new battery pack.However, existing method
It does not provide the concrete numerical value of sorting parameter error range and its determines method, artificial settings sorting parameter error range (as ±
1%, ± 5%) it can then make existing method for separating there are notable subjectivity and lack scientific basis.
The main purpose of battery sorting is that inconsistent degree is met the requirements between making the battery cell being classified as in same group, is disappeared
Remove or reduce the decline of cell degradation and battery pack overall performance caused by battery inconsistency.Due to retired power battery
Cross use in 3~5 years, dispersibility greatly increases, continue to use original new battery sorting parameter error range can cause in groups rate, can
The problem of being declined with property.Moreover, power battery difference echelon utilizes performance requirement and used charge and discharge of the scene to battery pack
It is tactful different, it objectively needs to propose the sorting parameter error range determination side that a kind of retired battery of combination recycles scene characteristic
Method realizes the personalized customization of battery sorting.
Invention content
In order to solve the deficiencies in the prior art, the present invention provides a kind of consideration battery inconsistencies and aging co-evolution
The battery sorting parameter determination method of process, this method combine retired battery that scene characteristic is recycled to formulate sorting parameter error model
It encloses, realizes the personalized customization of battery sorting.
Consider the inconsistent battery sorting parameter determination method with aging co-evolution of battery, including：
Determine the sorting parameter error range initial value of energy-storage battery group；
Battery inconsistency and aging co-evolution process simulator are built, energy-storage battery is imitated using the emulator
True simulation, obtains simulation result, the battery behavior parameter and environmental parameter of the energy-storage battery after being simulated；
Availability assessment is carried out for the battery pack after emulation, judges whether battery pack meets application scenarios energy storage need
It asks；
Sorting parameter error range feedback adjustment of the availability assessment result to energy-storage battery group is carried out according to battery pack.
Further preferred technical solution is needed in the sorting parameter error range initial value for determining energy-storage battery group
Determine following factor：Energy-storage battery group concrete application scene, the environmental parameter under the application scenarios, battery pack connection type, electricity
Pond discharge and recharge rule and requirement to energy-storage battery group；
According to above-mentioned energy-storage battery group concrete application scene demand, parameter is determined in conjunction with energy-storage battery degree of scatter to be sorted
Deviation range initial value.
Further preferred technical solution, using the emulator to energy-storage battery carry out analogue simulation the specific steps are：
A：According to the sorting parameter error range and environmental parameter distribution characteristics of energy-storage battery group, join probability distribution rule
Rule, each battery cell characterisitic parameter and environmental parameter numerical value are obtained by Monte-Carlo step；
B：According to each battery cell characteristic monomer parameter and running environment parameter, the battery of connected applications scene requirement connects
Mode, charge and discharge strategy and battery cell charging and recharging model, battery cell charge and discharge process in the analog simulation step-length period；
C：According to the charging and discharging currents of battery cell, running environment parameter, in conjunction with cell degradation model, heat transfer model meter
Calculate battery behavior parameter and environment temperature after a simulation step length；
D：Judge whether detection simulation number reaches the charge and discharge cycles number of setting, then enters battery pack availability in this way
Otherwise appraisal procedure goes to step B；
Further preferred technical solution, battery pack availability assessment step are specially：Based on each battery cell characteristic
Parameter and battery pack connection type calculate battery pack overall performance index.
Further preferred technical solution, battery cell characteristic monomer parameter includes but not limited to battery cell capacity, electricity
Pond monomer internal resistance, battery cell SOC, battery cell running environment parameter include but not limited to the temperature of battery local environment.
Further preferred technical solution, the battery pack overall performance index, which includes but not limited to battery pack, can use appearance
Amount, battery set charge/discharge efficiency, battery pack entirety internal resistance.
Further preferred technical solution after calculating battery pack overall performance index, joins the sorting of energy-storage battery group
Number deviation range feedback adjustment, specially：
a：Judge whether battery pack meets application scenarios energy storage demand, if then entering step b, otherwise goes to step c；
b：Judge otherwise whether performance indicator deviation less than setting value goes to step e if then entering step d；
c：Reduce sorting parameter error range according to battery performance index departure degree, and goes to and utilize the emulator pair
Energy-storage battery carries out analogue simulation step；
d：According to battery performance index departure degree increase sorting parameter error range, and goes to and utilize the emulator pair
Energy-storage battery carries out analogue simulation step；
e：It obtains reasonably sorting parameter error range and export.
Disclosed herein as well is：A kind of data processor, the data processor are configured as executing following data processing
Flow：
Determine the sorting parameter error range initial value of energy-storage battery group；
Battery inconsistency and aging co-evolution process simulator are built, energy-storage battery is imitated using the emulator
True simulation, obtains simulation result, the battery behavior parameter and environmental parameter of the energy-storage battery after being simulated；
Availability assessment is carried out for the battery pack after emulation, judges whether battery pack meets application scenarios energy storage need
It asks；
Sorting parameter error range feedback adjustment of the availability assessment result to energy-storage battery group is carried out according to battery pack.
Disclosed herein as well is：A kind of data storage medium, data storage medium are configured as executing following data processing
Flow：
Determine the sorting parameter error range initial value of energy-storage battery group；
Battery inconsistency and aging co-evolution process simulator are built, energy-storage battery is imitated using the emulator
True simulation, obtains simulation result, the battery behavior parameter and environmental parameter of the energy-storage battery after being simulated；
Availability assessment is carried out for the battery pack after emulation, judges whether battery pack meets application scenarios energy storage need
It asks；
Sorting parameter error range feedback adjustment of the availability assessment result to energy-storage battery group is carried out according to battery pack.
Compared with prior art, the beneficial effects of the invention are as follows：
The present invention is by considering that interacting for cell degradation and inconsistency evolution process, structure emulate different application field
The inconsistent simulation model with aging co-evolution process of battery under scape；
It is adjusted in conjunction with Multi simulation running result dynamic, and then determines rational battery sorting parameter error range, to realize
It is intimately associated the battery personalized customization sorting of battery applications scene charge-discharge characteristics, retired power battery is improved and recycles sorting
Scientific and combo success rate.
Description of the drawings
The accompanying drawings which form a part of this application are used for providing further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation do not constitute the improper restriction to the application for explaining the application.
Attached drawing 1 is to consider that the inconsistent battery sorting parameter determination method composition with aging co-evolution process is schemed；
Attached drawing 2 is that battery is inconsistent schemes with aging co-evolution process simulator composition；
3 battery pack availability assessment of attached drawing adjusts composition figure again with sorting parameter error range；
Attached drawing 4 is to consider that the inconsistent battery sorting parameter determination method composition with aging co-evolution process is schemed.
Specific implementation mode
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific implementation mode, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative
It is also intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or combination thereof.
In a kind of typical embodiment of the application, Fig. 1 is to consider battery inconsistency and aging co-evolution process
Battery sorting parameter determination method flow chart.This method includes four component parts altogether：1- battery sorting parameter error ranges
Initial value determination, 2- batteries inconsistency and aging co-evolution process simulator, 3- battery packs availability assessment, 4- sortings are joined
Number deviation range feedback adjustment.Functions and cross correlation are as follows：
1- battery sorting parameter error range initial values determine：The part mainly determines battery sorting parameter error range
Initial value provides starting point for deviation range subsequent feedback amendment.Parameter error range initial value can according to concrete application scene,
It is empirically determined in conjunction with battery degree of scatter to be sorted.
2- batteries inconsistency and aging co-evolution process simulator：The part is that this patent proposes that sorting parameter determines
The core of method, being mainly used for the sorting to specified sorting parameter error range, result carries out consistency and with aging combines to drill in groups
Change process simulation, the inconsistent process that interacts with cell degradation of artificial battery provides initially to calculate the following battery performance
Data.
3- battery pack availability assessments：The part is exported according to battery inconsistency and aging co-evolution process simulator
As a result, the battery connection type that connected applications scene needs, calculates battery performance parameter (such as active volume, internal resistance, charge and discharge
Efficiency etc.), and the performance requirement of battery pack is compared with specific application scene, assess battery pack availability and extent of deviation.
4- sorts parameter error range feedback adjustment：The battery usability assessment result adjustment point that the part is provided according to 3
It selects parameter error range, and is combined with aging with to carry out battery consistency next time with the parameter error ranging from starting point after new and drilled
Change process simulation, until reaching specified cycle-index.
Fig. 2 gives the inside composition figure of battery inconsistency and aging co-evolution process simulator, it includes：1- is answered
With scene input, 2- battery parameters and running environment parameter Monte-Carlo step, the simulation of 3- battery charge and discharge process and 4- batteries
Aging and the simulation of environmental parameter change procedure.Wherein, 1 external environment condition parameter (such as temperature under energy-storage battery group application scenarios is provided
Degree, humidity), battery pack connection type and battery charging and discharging rule.2 is equal according to sorting parameter error range (i.e. variance) and parameter
Value carries out Monte-Carlo step in conjunction with battery and environmental parameter probability distribution rule (such as normal distribution is uniformly distributed), obtains electricity
The characterisitic parameter (such as capacity, internal resistance, SOC) and running environment parameter of each battery in the group of pond.The 3 each batteries obtained according to sampling
Characterisitic parameter and running environment parameter, battery connection type, charge and discharge strategy and the battery cell of connected applications scene requirement fill
Discharging model simulates the charge and discharge process of each battery cell, records corresponding charging and discharging currents, voltage.4 according to battery cell
Charging and discharging currents, running environment parameter calculate the battery behavior parameter after a simulation step length in conjunction with cell degradation model,
The environment temperature after a simulation step length is calculated using heat transfer model.
Fig. 3 gives battery pack availability assessment and sorting parameter error range adjustment composition figure, includes mainly：1- is applied
Scene input, the calculating of 2- battery performances, 3- battery packs availability assessment, 4- sorting parameter drift-out range adjustment.Wherein, 1 master
Provide the connection type of battery pack under specific application scene, discharge and recharge rule and to battery performance requirement.2 are based primarily upon respectively
A battery cell characterisitic parameter and battery pack connection type, calculating battery pack overall performance index, (such as active volume, charge and discharge are imitated
Rate, whole internal resistance).3 are mainly used for the performance indicator requirement of comparative cell group performance indicator and application scenarios to battery pack, judge
The availability of energy-storage battery group, and provide the two departure degree.4 adjust sorting parameter error range according to 3 output informations,
In, the whether available adjustment direction for determining sorting parameter error range of battery pack, departure degree determines adjustment amplitude.
Disclosed herein as well is the battery sorting parameter determination sides for considering battery inconsistency and aging co-evolution process
Method flow：
The workflow of the present invention is as shown in figure 4, include mainly 12 steps：
1：In conjunction with energy-storage battery group concrete application scene, determine environmental parameter under application scenarios, battery pack connection type,
Battery charging and discharging rule and requirement to energy-storage battery group；
2：According to concrete application scene demand, in conjunction with the empirically determined parameter error range of battery degree of scatter to be sorted
Initial value；
3：Pass through illiteracy in conjunction with the particular probability regularity of distribution according to sorting parameter error range and environmental parameter distribution characteristics
Special Caro samples to obtain each battery cell characterisitic parameter and environmental parameter numerical value；
4：According to each battery cell characteristic monomer parameter (such as capacity, internal resistance, SOC) and running environment parameter (such as temperature),
Battery connection type, charge and discharge strategy and the battery cell charging and recharging model of connected applications scene requirement, when analog simulation step-length
Battery cell charge and discharge process in section；
5：According to the charging and discharging currents of battery cell, running environment parameter, in conjunction with cell degradation model, heat transfer model meter
Calculate battery behavior parameter and environment temperature after a simulation step length；
6：Whether detection simulation number reaches the charge and discharge cycles number of setting, then enters step 7 in this way, otherwise goes to step
Rapid 4；
7：Based on each battery cell characterisitic parameter and battery pack connection type, battery pack overall performance index is calculated (such as
Active volume, efficiency for charge-discharge, whole internal resistance)；
8：Judge whether battery pack meets application scenarios energy storage demand and otherwise go to step 10 if then entering step 9；
9：Judge that performance indicator deviation is sufficiently small, if then entering step 11, otherwise goes to step 12；
10：Reduce sorting parameter error range according to battery performance index departure degree, goes to step 3；
11：According to battery performance index departure degree increase sorting parameter error range, step 3 is gone to；
12：It obtains reasonably sorting parameter error range and export, flow terminates.
This application discloses more detailed examples of implementation：
Battery energy storage system is built to be based on retired power battery below, is to answer for auxiliary power grid consumption regenerative resource
With the implementation procedure of scene interpretation this patent method：
It is assumed that the energy-storage system of application demand 50kW/100kWh, based on the retired power battery from electric bus,
Nominal parameter is 210Ah, the ferric phosphate lithium cell of 3.2V.It is another to assume the available retired battery after appearance screening and Preliminary detection
Total amount is 500, battery actual capacity rated capacity 65%~85%, internal resistance of cell normal state point between 5m Ω -35m Ω
Cloth.Using stored energy capacitance as separation index, then the implementation procedure of this patent method is：
1：It is assumed that environmental parameter is mainly temperature under the application scenarios, and mean value is 20 DEG C, and each battery temperature difference variance is 2
℃；Battery constitutes battery pack in the form of 4 and 50 strings, and grid-connected through current transformer；Energy storage working method is daily 11 up to 15
When charged with 40kW power, 17 when 19 with 40kW power discharges, a daily cycle；Battery pack is required to be work 1 year
Stored energy capacitance still has initial capacity 70% afterwards；
2：It is estimated roughly by 75% that residual capacity is rated capacity, the application scenarios of setting need 200 pieces of battery cells,
Therefore initial deviation ranging from ± 4% may be selected；
3：The initial cells characterisitic parameter and environmental parameter distribution characteristics feature of setting, are obtained by Monte-Carlo step
200 battery cell characterisitic parameters and environmental parameter numerical value are：168.8Ah/21.6、196.0Ah/18.2、110.1/20.2、
175.6/18.9、164.2/20.6、130.0/18.7、148.3/20.9、164.6/21.4、232.6/23.4、215.6/19.6、
(10 sample datas)；
4：According to each battery cell characteristic monomer parameter and running temperature, in conjunction with the battery connection type of setting, charge and discharge
Strategy and battery cell charging and recharging model, artificial battery group charge and discharge process, and according to cell degradation model, heat transfer model meter
Calculate update battery behavior parameter and environment temperature；
6：After simulating 365 charge and discharge cycles, battery pack residue active volume is calculated；
7：60kWh (energy-storage system design requirement) is subtracted with remaining active volume, if being less than zero, reducing deviation allows model
It encloses, regulates the speed as 0.1%/1kWh；If more than 1kWh, then increase deviation allowable range, regulates the speed as 0.1%/1kWh；If
It is less than 1kWh more than 0, then current deviation ranging from reasonable value.
The foregoing is merely the preferred embodiments of the application, are not intended to limit this application, for the skill of this field
For art personnel, the application can have various modifications and variations.Within the spirit and principles of this application, any made by repair
Change, equivalent replacement, improvement etc., should be included within the protection domain of the application.
Claims (10)
1. considering the inconsistent battery sorting parameter determination method with aging co-evolution of battery, characterized in that including：
Determine the sorting parameter error range initial value of energy-storage battery group；
Battery inconsistency and aging co-evolution process simulator are built, emulation mould is carried out to energy-storage battery using the emulator
It is quasi-, obtain simulation result, the battery behavior parameter and environmental parameter of the energy-storage battery after being simulated；
Availability assessment is carried out for the battery pack after emulation, judges whether battery pack meets application scenarios energy storage demand；
Sorting parameter error range feedback adjustment of the availability assessment result to energy-storage battery group is carried out according to battery pack.
2. the inconsistent battery sorting parameter determination method with aging co-evolution of battery is considered as described in claim 1,
It is characterized in, in the sorting parameter error range initial value for determining energy-storage battery group, it is thus necessary to determine that following factor：Energy-storage battery group
Concrete application scene, the environmental parameter under the application scenarios, battery pack connection type, battery charging and discharging rule and to energy-storage battery
The requirement of group.
3. the inconsistent battery sorting parameter determination method with aging co-evolution of battery is considered as claimed in claim 2,
It is characterized in, according to above-mentioned energy-storage battery group concrete application scene demand, parameter is determined in conjunction with energy-storage battery degree of scatter to be sorted
Deviation range initial value.
4. the inconsistent battery sorting parameter determination method with aging co-evolution of battery is considered as described in claim 1,
Be characterized in, using the emulator to energy-storage battery carry out analogue simulation the specific steps are：
A：According to the sorting parameter error range and environmental parameter distribution characteristics of energy-storage battery group, the join probability regularity of distribution is led to
It crosses Monte-Carlo step and obtains each battery cell characterisitic parameter and environmental parameter numerical value；
B：According to each battery cell characteristic monomer parameter and running environment parameter, the battery connection side of connected applications scene requirement
Formula, charge and discharge strategy and battery cell charging and recharging model, battery cell charge and discharge process in the analog simulation step-length period；
C：According to the charging and discharging currents of battery cell, running environment parameter, warp is calculated in conjunction with cell degradation model, heat transfer model
Cross battery behavior parameter and environment temperature after a simulation step length；
D：Judge whether detection simulation number reaches the charge and discharge cycles number of setting, then enters battery pack availability assessment in this way
Otherwise step goes to step B.
5. the inconsistent battery sorting parameter determination method with aging co-evolution of battery is considered as claimed in claim 4,
It is characterized in, battery pack availability assessment step is specially：Based on each battery cell characterisitic parameter and battery pack connection type, meter
Calculate battery pack overall performance index.
6. the inconsistent battery sorting parameter determination method with aging co-evolution of battery is considered as claimed in claim 4,
It is characterized in, battery cell characteristic monomer parameter includes but not limited to battery cell capacity, battery cell internal resistance, battery cell SOC,
Battery cell running environment parameter includes but not limited to the temperature of battery local environment.
7. the inconsistent battery sorting parameter determination method with aging co-evolution of battery is considered as claimed in claim 5,
It is characterized in, the battery pack overall performance index includes but not limited to battery pack active volume, battery set charge/discharge efficiency, battery
The whole internal resistance of group.
8. the inconsistent battery sorting parameter determination method with aging co-evolution of battery is considered as claimed in claim 5,
It is characterized in, after calculating battery pack overall performance index, to the sorting parameter error range feedback adjustment of energy-storage battery group, specifically
For：
a：Judge whether battery pack meets application scenarios energy storage demand, if then entering step b, otherwise goes to step c；
b：Judge otherwise whether performance indicator deviation less than setting value goes to step e if then entering step d；
c：Reduce sorting parameter error range according to battery performance index departure degree, and goes to using the emulator to energy storage
Battery carries out analogue simulation step；
d：According to battery performance index departure degree increase sorting parameter error range, and go to using the emulator to energy storage
Battery carries out analogue simulation step；
e：It obtains reasonably sorting parameter error range and export.
9. a kind of data processor, the data processor is configured as executing following data process flow：
Determine the sorting parameter error range initial value of energy-storage battery group；
Battery inconsistency and aging co-evolution process simulator are built, emulation mould is carried out to energy-storage battery using the emulator
It is quasi-, obtain simulation result, the battery behavior parameter and environmental parameter of the energy-storage battery after being simulated；
Availability assessment is carried out for the battery pack after emulation, judges whether battery pack meets application scenarios energy storage demand；
Sorting parameter error range feedback adjustment of the availability assessment result to energy-storage battery group is carried out according to battery pack.
10. a kind of data storage medium, data storage medium is configured as executing following data process flow：
Determine the sorting parameter error range initial value of energy-storage battery group；
Battery inconsistency and aging co-evolution process simulator are built, emulation mould is carried out to energy-storage battery using the emulator
It is quasi-, obtain simulation result, the battery behavior parameter and environmental parameter of the energy-storage battery after being simulated；
Availability assessment is carried out for the battery pack after emulation, judges whether battery pack meets application scenarios energy storage demand；
Sorting parameter error range feedback adjustment of the availability assessment result to energy-storage battery group is carried out according to battery pack.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111384452A (en) * | 2018-12-28 | 2020-07-07 | 广州汽车集团股份有限公司 | Method, device and equipment for expanding use scene of battery cell and storage medium |
| CN112505573A (en) * | 2020-11-23 | 2021-03-16 | 贵州电网有限责任公司 | Consistency evaluation index calculation method for retired power battery |
| CN113515860A (en) * | 2021-07-12 | 2021-10-19 | 山东大学 | Numerical simulation method and system for running state of lithium ion battery pack |
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| CN113515860B (en) * | 2021-07-12 | 2023-10-24 | 山东大学 | Numerical simulation method and system for running state of lithium ion battery pack |
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