CN106340689A - Battery pack system capacity self-learning method - Google Patents
Battery pack system capacity self-learning method Download PDFInfo
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- CN106340689A CN106340689A CN201611022794.7A CN201611022794A CN106340689A CN 106340689 A CN106340689 A CN 106340689A CN 201611022794 A CN201611022794 A CN 201611022794A CN 106340689 A CN106340689 A CN 106340689A
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- battery
- battery pack
- pack system
- capacity
- 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
-
- 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
- H01M10/44—Methods for charging or discharging
-
- 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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- Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- General Chemical & Material Sciences (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a battery pack system capacity self-learning method. The method comprises the following steps that firstly, a battery pack system is discharged until the electric quantity is within a preset range; secondly, a slow charging unit slowly charges the battery pack system until a full electricity state is achieved; thirdly, a battery management system controller calculates the current total capacity of the battery pack system according to the slow charging capacity, the SOH value of the battery pack system is corrected, and the SOC value of the current battery system is calculated. On one hand, the battery SOC can be conveniently and quickly estimated; on the other hand, the SOC estimation precision can be improved by correcting the total capacity of the battery system every period of time.
Description
Technical field
The present invention relates to batteries management system technical field, particularly to a kind of side of battery pack system capacity self study
Method.
Background technology
In recent years, the impact such as drastically consume for the reply environmental pollution that brings of auto industry fast development, petroleum resources, respectively
State is all actively developing research new-energy automobile research.Automobile power cell as the kernel component of electric automobile, to car load
Continual mileage, service life, security performance etc. have direct impact.Automobile power cell is made up of multiple cells
Battery modules (also referred to as battery bag), battery dump energy also known as battery state-of-charge (state of charge, letter
Claim soc) be battery status important parameter.
At present because electric automobile power battery group system number of batteries is big, battery performance in groups, often worst by performance
Battery cell determine.Battery pack system use environment is wide with condition, especially, individual monomers and decays in advance or environment
The especially low place of temperature, does not allow to carry out returning factory's volume test demarcation by battery pack system, then common battery capacity is followed
Ring model is no longer suitable for and carries out battery soc estimation.
Current battery soc computational methods are the ratio of battery system residual capacity and battery system total capacity, and remaining appearance
Measure the difference for overall system capacity and system accumulated discharge ampere-hour integration.Generally overall system capacity is all to adopt laboratory when dispatching from the factory
Data standard rated capacity.And in actual use, battery system total capacity can decay, if had been used up when dispatching from the factory
Overall system capacity, certainly will make soc estimation more and more inaccurate.
Content of the invention
It is an object of the invention to provide a kind of method of battery pack system capacity self study, on the one hand can be conveniently
Carrying out battery soc estimation, on the other hand can carrying out battery system total capacity revision, thus improving by set intervals
Soc estimation precision.
In order to realize object above, the present invention is achieved by the following technical solutions:
A kind of method of battery pack system capacity self study, is characterized in, comprises the steps of
S1, is discharged within preset range to battery pack system；
S2, trickle charge unit charges up to full power state to battery pack system trickle charge；
S3, controller of battery management system, according to trickle charge charging capacity, calculates current battery overall system capacity, revises set of cells
The soh value of system, and calculate the soc value of present battery system.
In described step s1, battery pack system is discharged to battery pack system soc within 10% with constant duty.
Described set of cells comprises several series-parallel battery cells.
Also comprised before step s1: s0, gather voltage, temperature and charging and discharging currents of each battery cell calculating and work as
The soc value of front battery system.
In described step s3, trickle charge charging capacity is calculated by ampere-hour integration method.
The present invention compared with prior art, has the advantage that
Correction battery system total capacity value of the present invention, i.e. revising soh value, thus improve soc estimation precision, being particularly well-suited to
Individual monomers cell decay speed is especially fast, or system local environment temperature ratio is relatively low, needs periodically to carry out overall system capacity
Soc evaluation method in the state of correction.
Brief description
Fig. 1 is a kind of flow chart of the method for present invention battery pack system capacity self study.
Specific embodiment
Below in conjunction with accompanying drawing, by describing a preferably specific embodiment in detail, the present invention is further elaborated.
As shown in figure 1, a kind of method of battery pack system capacity self study, comprise the steps of
S1, is discharged within preset range to battery pack system；
S2, trickle charge unit charges up to full power state to battery pack system trickle charge；
S3, controller of battery management system, according to trickle charge charging capacity, calculates current battery overall system capacity, revises set of cells
Health status (state-of-health, the abbreviation soh) value of system, revises and calculates the soc value of present battery system.
In above-mentioned step s1, battery pack system is discharged to battery pack system soc within 10% with constant duty, works as discovery
Battery pack system soc error is more apparent, and the mode such as the electric discharge or stop of excessively driving is turned on the aircondition, by battery pack system with constant work
Within condition is discharged to 10%soc scope, it is that in the range of 10%, soc accuracy now is higher in battery pack system soc.
Above-mentioned set of cells comprises several series-parallel battery cells.
Also comprised before step s1: s0, gather voltage, temperature and charging and discharging currents of each battery cell calculating and work as
The soc value of front battery system.
In above-mentioned step s3, trickle charge charging capacity is calculated by ampere-hour integration method.
This example, such as finds battery pack system soc deviation taking the battery pack system as 16ah for the nominal capacity that dispatches from the factory as a example
More apparent, so that stable conditions by way of stopping and turning on the aircondition, battery pack system soc is steadily reduced in the range of 10%, this
Example is taking 8% as a example, then fully charged by battery pack system by trickle charge unit, and batteries management system passes through ampere-hour integration method
Calculate charging capacity c1, in this example, c1=14ah, then, can calculate battery system total capacity c now0=14/(1-8%)=
15.217ah, and the difference certain with the 16ah demarcating when dispatching from the factory, battery system total capacity are changed to 15.217ah, repair
Denominator total capacity in positive soc estimation, is met with battery practical situation, completes battery pack system capacity self study process.
Battery system total capacity is affected by many factors, such as, driving habit, ambient temperature, individual monomers performance
Etc., by such method in that context it may be convenient to obtain battery system total capacity data, quickly obtain the soh of system.
So, in use, too fast when individual monomers decay occurs, or use environment temperature is too low, and it is fixed to need
Phase carries out capacity self study to battery pack system, revises battery pack system total capacity data, such that it is able to improve battery pack system
Estimation precision.
Although present disclosure has been made to be discussed in detail by above preferred embodiment, but it should be appreciated that above-mentioned
Description is not considered as limitation of the present invention.After those skilled in the art have read the above, for the present invention's
Multiple modifications and substitutions all will be apparent from.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (5)
1. a kind of method of battery pack system capacity self study is it is characterised in that comprise the steps of
S1, is discharged within preset range to battery pack system；
S2, trickle charge unit charges up to full power state to battery pack system trickle charge；
S3, controller of battery management system, according to trickle charge charging capacity, calculates current battery overall system capacity, revises set of cells
The soh value of system, and calculate the soc value of present battery system.
2. the method for battery pack system capacity self study as claimed in claim 1 is it is characterised in that electricity in described step s1
Pond group system is discharged to battery pack system soc within 10% with constant duty.
3. the method for battery pack system capacity self study as claimed in claim 1 is it is characterised in that described set of cells comprises
Several series-parallel battery cells.
4. the method for battery pack system capacity self study as claimed in claim 3 is it is characterised in that also wrapped before step s1
Contain:
S0, gathers voltage, temperature and the charging and discharging currents of each battery cell and calculates the soc value of present battery system.
5. the method for battery pack system capacity self study as claimed in claim 1 is it is characterised in that logical in described step s3
Cross ampere-hour integration method and calculate trickle charge charging capacity.
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| CN201611022794.7A CN106340689A (en) | 2016-11-21 | 2016-11-21 | Battery pack system capacity self-learning method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201611022794.7A CN106340689A (en) | 2016-11-21 | 2016-11-21 | Battery pack system capacity self-learning method |
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| CN201611022794.7A Pending CN106340689A (en) | 2016-11-21 | 2016-11-21 | Battery pack system capacity self-learning method |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106585422A (en) * | 2017-02-17 | 2017-04-26 | 合肥国轩高科动力能源有限公司 | SOH estimation method for power battery |
| CN107742755A (en) * | 2017-09-27 | 2018-02-27 | 安徽江淮汽车集团股份有限公司 | Electric automobile SOH modification methods and device |
| CN107910607A (en) * | 2017-11-22 | 2018-04-13 | 北京新能源汽车股份有限公司 | Method and device for correcting SOH (state of health) of battery, electric vehicle and storage medium |
| CN109148978A (en) * | 2017-06-19 | 2019-01-04 | 宁德时代新能源科技股份有限公司 | Capacity balancing method and system for battery pack |
| CN109709490A (en) * | 2018-12-29 | 2019-05-03 | 重庆小康工业集团股份有限公司 | Correction method of lithium battery system life cycle SOC |
| CN110133506A (en) * | 2018-02-09 | 2019-08-16 | 宝山钢铁股份有限公司 | A kind of device and its calculation method using the time for calculating lithium battery residue |
| CN110794307A (en) * | 2019-10-21 | 2020-02-14 | 南京金邦动力科技有限公司 | Self-learning SOC estimation calibration method |
| CN111551859A (en) * | 2020-06-08 | 2020-08-18 | 珠海智融科技有限公司 | Method for measuring amount of electricity available from battery, computer device, and computer-readable storage medium |
| CN111969263A (en) * | 2020-07-20 | 2020-11-20 | 浙江吉智新能源汽车科技有限公司 | Method and device for updating SOH of battery pack in charging and replacing power station |
| CN112782601A (en) * | 2019-11-05 | 2021-05-11 | 奥动新能源汽车科技有限公司 | Method, system and equipment for acquiring health degree of battery and readable storage medium |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106585422A (en) * | 2017-02-17 | 2017-04-26 | 合肥国轩高科动力能源有限公司 | SOH estimation method for power battery |
| CN109148978A (en) * | 2017-06-19 | 2019-01-04 | 宁德时代新能源科技股份有限公司 | Capacity balancing method and system for battery pack |
| CN107742755A (en) * | 2017-09-27 | 2018-02-27 | 安徽江淮汽车集团股份有限公司 | Electric automobile SOH modification methods and device |
| CN107742755B (en) * | 2017-09-27 | 2019-05-28 | 安徽江淮汽车集团股份有限公司 | Electric car SOH modification method and device |
| CN107910607A (en) * | 2017-11-22 | 2018-04-13 | 北京新能源汽车股份有限公司 | Method and device for correcting SOH (state of health) of battery, electric vehicle and storage medium |
| CN107910607B (en) * | 2017-11-22 | 2019-11-22 | 北京新能源汽车股份有限公司 | Modification method, device, electric car and the storage medium of battery health degree SOH |
| CN110133506B (en) * | 2018-02-09 | 2021-03-12 | 宝山钢铁股份有限公司 | Device and method for calculating remaining service time of lithium battery |
| CN110133506A (en) * | 2018-02-09 | 2019-08-16 | 宝山钢铁股份有限公司 | A kind of device and its calculation method using the time for calculating lithium battery residue |
| CN109709490A (en) * | 2018-12-29 | 2019-05-03 | 重庆小康工业集团股份有限公司 | Correction method of lithium battery system life cycle SOC |
| CN109709490B (en) * | 2018-12-29 | 2021-09-14 | 重庆小康工业集团股份有限公司 | Correction method for full life cycle SOC of lithium battery system |
| CN110794307A (en) * | 2019-10-21 | 2020-02-14 | 南京金邦动力科技有限公司 | Self-learning SOC estimation calibration method |
| CN112782601A (en) * | 2019-11-05 | 2021-05-11 | 奥动新能源汽车科技有限公司 | Method, system and equipment for acquiring health degree of battery and readable storage medium |
| CN111551859B (en) * | 2020-06-08 | 2021-05-18 | 珠海智融科技有限公司 | Method for measuring amount of electricity available from battery, computer device, and computer-readable storage medium |
| CN111551859A (en) * | 2020-06-08 | 2020-08-18 | 珠海智融科技有限公司 | Method for measuring amount of electricity available from battery, computer device, and computer-readable storage medium |
| CN111969263A (en) * | 2020-07-20 | 2020-11-20 | 浙江吉智新能源汽车科技有限公司 | Method and device for updating SOH of battery pack in charging and replacing power station |
| CN111969263B (en) * | 2020-07-20 | 2021-10-26 | 浙江吉智新能源汽车科技有限公司 | Method and device for updating SOH of battery pack in charging and replacing power station |
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Application publication date: 20170118 |