CN108155426A - Battery Gradient utilization method based on attenuation characteristic parameter - Google Patents
Battery Gradient utilization method based on attenuation characteristic parameter Download PDFInfo
- Publication number
- CN108155426A CN108155426A CN201711419678.3A CN201711419678A CN108155426A CN 108155426 A CN108155426 A CN 108155426A CN 201711419678 A CN201711419678 A CN 201711419678A CN 108155426 A CN108155426 A CN 108155426A
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- battery
- retired
- echelon
- parameter
- cell
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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
- H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
-
- 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
- H01M10/4221—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells with battery type recognition
-
- 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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- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a kind of battery Gradient utilization methods based on attenuation characteristic parameter, using the parameter of cell health state, the internal resistance of cell, monomer voltage change rate, self-discharge rate and low temperature discharge capacity as assessment cell decay characteristic, the retired battery that can be carried out echelon and utilize is filtered out according to cell health state, pass through clustering method, the different demands of different occasions are utilized according to echelon, are classified to retired battery.The present invention specifies the index of judgement power battery attenuation characteristic, can select different types of retired battery using application scenario according to different echelons, be utilized for echelon and provide reliable basis.
Description
Technical field
The present invention relates to battery reuse method field, specifically a kind of battery echelon based on attenuation characteristic parameter utilizes
Method.
Background technology
Battery echelon is utilized, when by judging lithium battery characteristic attenuation to a certain extent, i.e., from electric vehicle
It is retired, carry out follow-up echelon utilization.However, for evaluating the parameter of dynamic lithium battery attenuation characteristic and indefinite, although usually
It may be used whether SOH is retired to battery to be bound, but it cannot function as the unique parameters of assessment cell decay characteristic, because
How this, be difficult to realize to different echelons is suitble to carry out classification using the retired battery of occasion.
Invention content the object of the present invention is to provide a kind of battery Gradient utilization method based on attenuation characteristic parameter, with
Solve the problems, such as that the retired battery of the prior art is difficult to classify to carry out echelon utilization.
In order to achieve the above object, the technical solution adopted in the present invention is：
Battery Gradient utilization method based on attenuation characteristic parameter, it is characterised in that：Based on cell health state parameter SOH, sieve
Selecting can the retired battery that utilizes of echelon；Then Analysis of Attenuation is carried out, and gather using mathematics to the retired battery filtered out
Class method classifies to retired battery according to the index for influencing retired battery applicable situation, marks suitable all kinds of echelon profits
With the retired battery of occasion, realize that the echelon of retired battery utilizes.
The battery Gradient utilization method based on attenuation characteristic parameter, it is characterised in that：When cell health state is joined
When number SOH value is in the range of 30% ~ 80%, illustrate that battery should be retired, and echelon utilization can be carried out；When cell health state is joined
When number SOH value is in the range of 80% ~ 100%, illustrates that battery performance is good, do not need to be retired；When cell health state parameter SOH value
When in the range of 0% ~ 30%, illustrate that battery should directly be scrapped, echelon utilization can not be carried out；Therefore selection cell health state parameter
Retired battery of the SOH value in the range of 30% ~ 80% is can the retired battery that utilizes of echelon.
The battery Gradient utilization method based on attenuation characteristic parameter, it is characterised in that：It declines to retired battery
When subtracting specificity analysis, choose cell health state parameter SOH, the internal resistance of cell, monomer voltage change rate, self-discharge rate and low temperature and put
Parameter of the capacitance as reflection cell decay characteristic.
The invention mainly comprises the screening of retired battery and the clusters of retired battery.The screening of wherein retired battery be in order to
It determines to carry out the retired vehicle mounted dynamic battery that echelon utilizes, the cluster to retired battery is in order to pair can the electricity that utilizes of echelon
Pond is classified, and occasion is utilized to be applicable in different echelons.
Compared with the prior art, beneficial effects of the present invention are embodied in：
1st, the index of judgement power battery attenuation characteristic is specified, can clearly describe can carry out the retired battery that echelon utilizes
Different characteristic.
2nd, classified using mathematics clustering method to retired battery, can be selected according to different echelons using application scenario
Different types of retired battery is selected, is utilized for echelon and reliable basis is provided.
Description of the drawings
Fig. 1 is the method for the present invention flow chart.
Specific embodiment
As shown in Figure 1, the battery Gradient utilization method based on attenuation characteristic parameter, based on cell health state parameter SOH,
Filtering out can the retired battery that utilizes of echelon；Then Analysis of Attenuation is carried out to the retired battery filtered out, and utilizes mathematics
Clustering method classifies to retired battery according to the index for influencing retired battery applicable situation, marks suitable all kinds of echelons
Using the retired battery of occasion, realize that the echelon of retired battery utilizes.
When cell health state parameter SOH value is in the range of 30% ~ 80%, illustrate that battery should be retired, and can carry out
Echelon utilizes；When cell health state parameter SOH value is in the range of 80% ~ 100%, illustrates that battery performance is good, do not need to move back
Labour；When cell health state parameter SOH value is in the range of 0% ~ 30%, illustrate that battery should directly be scrapped, echelon profit can not be carried out
With；Therefore retired battery of the cell health state parameter SOH value in the range of 30% ~ 80% is selected as can the retired electricity that utilizes of echelon
Pond.
When carrying out Analysis of Attenuation to retired battery, cell health state parameter SOH, the internal resistance of cell, monomer electricity are chosen
The parameter of buckling rate, self-discharge rate and low temperature discharge capacity as reflection cell decay characteristic.
In the present invention, the index for influencing retired battery applicable situation is：Choose cell health state parameter SOH, battery
Internal resistance, monomer voltage change rate, self-discharge rate and low temperature discharge capacity
The present invention to realize that the echelon of retired battery utilizes, need first to filter out can the retired battery that utilizes of echelon, then pair can ladder
It is secondary using battery classify, this two step is required for relying on the parameter that can reflect cell decay characteristic.Choose SOH, electricity
The parameter of pond internal resistance, monomer voltage change rate, self-discharge rate and low temperature discharge capacity as reflection cell decay characteristic.Wherein
SOH as screening can the foundation of retired battery that utilizes of echelon, when SOH value is in the range of 30% ~ 80%, illustrate that battery should move back
Labour, and echelon utilization can be carried out；When SOH value is in the range of 80% ~ 100%, illustrate that battery performance is good, do not need to be retired；
When SOH value is in the range of 0% ~ 30%, illustrate that battery should directly be scrapped, echelon utilization can not be carried out.
To carrying out Analysis of Attenuation by screening the retired battery of obtained SOH value in the range of 30% ~ 80%, in selection
It is special as reflection cell decay to state 5 SOH, the internal resistance of cell, monomer voltage change rate, self-discharge rate and low temperature discharge capacity parameters
Property parameter, using mathematics clustering method, classified according to the index for influencing retired battery applicable situation to retired battery, marked
Remember and the battery that suitable all kinds of echelons utilize occasion, utilized so as to fulfill the echelon of retired battery.
Claims (3)
1. the battery Gradient utilization method based on attenuation characteristic parameter, it is characterised in that：Based on cell health state parameter SOH,
Filtering out can the retired battery that utilizes of echelon；Then Analysis of Attenuation is carried out to the retired battery filtered out, and utilizes mathematics
Clustering method classifies to retired battery according to the index for influencing retired battery applicable situation, marks suitable all kinds of echelons
Using the retired battery of occasion, realize that the echelon of retired battery utilizes.
2. the battery Gradient utilization method according to claim 1 based on attenuation characteristic parameter, it is characterised in that：Work as battery
When health parameter SOH value is in the range of 30% ~ 80%, illustrate that battery should be retired, and echelon utilization can be carried out；Work as battery
When health parameter SOH value is in the range of 80% ~ 100%, illustrate that battery performance is good, do not need to be retired；When battery health shape
When state parameter SOH value is in the range of 0% ~ 30%, illustrate that battery should directly be scrapped, echelon utilization can not be carried out；Therefore selection battery
Retired battery of the health parameter SOH value in the range of 30% ~ 80% is can the retired battery that utilizes of echelon.
3. the battery Gradient utilization method according to claim 1 based on attenuation characteristic parameter, it is characterised in that：To retired
When battery carries out Analysis of Attenuation, cell health state parameter SOH, the internal resistance of cell, monomer voltage change rate, self discharge are chosen
The parameter of rate and low temperature discharge capacity as reflection cell decay characteristic.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711419678.3A CN108155426A (en) | 2017-12-25 | 2017-12-25 | Battery Gradient utilization method based on attenuation characteristic parameter |
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| CN201711419678.3A CN108155426A (en) | 2017-12-25 | 2017-12-25 | Battery Gradient utilization method based on attenuation characteristic parameter |
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| CN201711419678.3A Pending CN108155426A (en) | 2017-12-25 | 2017-12-25 | Battery Gradient utilization method based on attenuation characteristic parameter |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109061490A (en) * | 2018-07-30 | 2018-12-21 | 中国电力科学研究院有限公司 | A kind of prediction echelon is in the method and system of capacity acceleration decling phase using power battery |
| CN109657809A (en) * | 2018-11-30 | 2019-04-19 | 蔚来汽车有限公司 | Retired battery group stage division, system and retired battery Gradient utilization method |
| CN110135490A (en) * | 2019-05-10 | 2019-08-16 | 上海理工大学 | A kind of retired lithium battery classification method based on sample label |
| CN110135478A (en) * | 2019-04-29 | 2019-08-16 | 上海理工大学 | Consider that echelon utilizes the retired lithium battery classification method of scene |
| CN110323502A (en) * | 2019-07-04 | 2019-10-11 | 北京交通大学 | A kind of retired power battery echelon utilizes scene Adaptability Evaluation Method and device |
| CN110531282A (en) * | 2019-10-29 | 2019-12-03 | 深圳市普兰德储能技术有限公司 | The application scenarios classification method of retired power battery |
| CN111239629A (en) * | 2020-02-28 | 2020-06-05 | 山东理工大学 | Echelon utilization state interval division method for retired lithium battery |
| CN111474490A (en) * | 2020-04-09 | 2020-07-31 | 北方工业大学 | Rapid screening method for batteries used in echelon |
| CN111551866A (en) * | 2020-04-15 | 2020-08-18 | 深圳市云伽智能技术有限公司 | Method, device and equipment for detecting automobile starting load and storage medium |
| CN114669508A (en) * | 2022-03-01 | 2022-06-28 | 常州大学 | Screening method for graded utilization monomers of retired batteries |
| CN114833097A (en) * | 2022-05-05 | 2022-08-02 | 合肥工业大学 | Sorting method and device for gradient utilization of retired power batteries |
| CN115061051A (en) * | 2022-06-10 | 2022-09-16 | 重庆金康赛力斯新能源汽车设计院有限公司 | Method and device for identifying battery voltage abnormity, computer equipment and medium |
| CN115327391A (en) * | 2022-10-14 | 2022-11-11 | 深圳市杰成镍钴新能源科技有限公司 | Detection method and device based on echelon battery utilization |
| CN115514068A (en) * | 2022-11-18 | 2022-12-23 | 杭州程单能源科技有限公司 | Cell pressure difference optimization method for gradient utilization of lithium battery |
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| CN106383316A (en) * | 2016-08-30 | 2017-02-08 | 郑州轻工业学院 | Echelon utilization lithium battery performance evaluation method |
| CN107008671A (en) * | 2017-03-29 | 2017-08-04 | 北京新能源汽车股份有限公司 | The sorting technique and device of a kind of electrokinetic cell |
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Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109061490A (en) * | 2018-07-30 | 2018-12-21 | 中国电力科学研究院有限公司 | A kind of prediction echelon is in the method and system of capacity acceleration decling phase using power battery |
| CN109657809A (en) * | 2018-11-30 | 2019-04-19 | 蔚来汽车有限公司 | Retired battery group stage division, system and retired battery Gradient utilization method |
| CN110135478A (en) * | 2019-04-29 | 2019-08-16 | 上海理工大学 | Consider that echelon utilizes the retired lithium battery classification method of scene |
| CN110135478B (en) * | 2019-04-29 | 2022-12-27 | 上海理工大学 | Retired lithium battery classification method considering echelon utilization scene |
| CN110135490A (en) * | 2019-05-10 | 2019-08-16 | 上海理工大学 | A kind of retired lithium battery classification method based on sample label |
| CN110135490B (en) * | 2019-05-10 | 2023-08-01 | 上海理工大学 | Retired lithium battery classification method based on sample label |
| CN110323502A (en) * | 2019-07-04 | 2019-10-11 | 北京交通大学 | A kind of retired power battery echelon utilizes scene Adaptability Evaluation Method and device |
| CN110531282A (en) * | 2019-10-29 | 2019-12-03 | 深圳市普兰德储能技术有限公司 | The application scenarios classification method of retired power battery |
| CN110531282B (en) * | 2019-10-29 | 2021-11-12 | 深圳市普兰德储能技术有限公司 | Application scene classification method for retired power battery |
| CN111239629A (en) * | 2020-02-28 | 2020-06-05 | 山东理工大学 | Echelon utilization state interval division method for retired lithium battery |
| CN111474490B (en) * | 2020-04-09 | 2022-06-24 | 北方工业大学 | Rapid screening method for batteries used in echelon |
| CN111474490A (en) * | 2020-04-09 | 2020-07-31 | 北方工业大学 | Rapid screening method for batteries used in echelon |
| CN111551866A (en) * | 2020-04-15 | 2020-08-18 | 深圳市云伽智能技术有限公司 | Method, device and equipment for detecting automobile starting load and storage medium |
| CN114669508A (en) * | 2022-03-01 | 2022-06-28 | 常州大学 | Screening method for graded utilization monomers of retired batteries |
| CN114833097A (en) * | 2022-05-05 | 2022-08-02 | 合肥工业大学 | Sorting method and device for gradient utilization of retired power batteries |
| CN114833097B (en) * | 2022-05-05 | 2024-01-19 | 合肥工业大学 | Sorting method and device for gradient utilization of retired power battery |
| CN115061051A (en) * | 2022-06-10 | 2022-09-16 | 重庆金康赛力斯新能源汽车设计院有限公司 | Method and device for identifying battery voltage abnormity, computer equipment and medium |
| CN115061051B (en) * | 2022-06-10 | 2024-06-07 | 重庆赛力斯新能源汽车设计院有限公司 | Method and device for identifying abnormal voltage of battery, computer equipment and medium |
| CN115327391A (en) * | 2022-10-14 | 2022-11-11 | 深圳市杰成镍钴新能源科技有限公司 | Detection method and device based on echelon battery utilization |
| CN115327391B (en) * | 2022-10-14 | 2022-12-30 | 深圳市杰成镍钴新能源科技有限公司 | Detection method and device based on echelon battery utilization |
| CN115514068A (en) * | 2022-11-18 | 2022-12-23 | 杭州程单能源科技有限公司 | Cell pressure difference optimization method for gradient utilization of lithium battery |
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Application publication date: 20180612 |