CN107102270A - A kind of cell performance decay evaluation method based on statistical method - Google Patents
A kind of cell performance decay evaluation method based on statistical method Download PDFInfo
- Publication number
- CN107102270A CN107102270A CN201710292921.3A CN201710292921A CN107102270A CN 107102270 A CN107102270 A CN 107102270A CN 201710292921 A CN201710292921 A CN 201710292921A CN 107102270 A CN107102270 A CN 107102270A
- Authority
- CN
- China
- Prior art keywords
- battery
- cell
- decay
- soc states
- soc
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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]
- G01R31/3644—Constructional arrangements
- G01R31/3648—Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
-
- 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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a kind of cell performance decay appraisal procedure based on statistical method, specifically include：Step a, judge battery whether enter trickle charge charged state, if into step b, otherwise exiting calculating；The magnitude of voltage and storage of step b, measurement battery in default SOC states, the SOC represent battery dump energy percentage；Step c, the corresponding voltage value for the record that dispatches from the factory with battery are compared, and calculate the attenuation coefficient of each default SOC states battery；Step d, the maximum attenuation coefficient that step c is obtained is taken as the final attenuation coefficient of battery.By magnitude of voltage of the dynamic statistics battery in different SOC states, the parameter value of adjustment attenuation coefficient, and then realize the real-time assessment to cell decay in real time during battery use；The cell decay coefficient degree of accuracy height obtained simultaneously using this kind of method, can correctly reflect the attenuation of battery substantially.
Description
Technical field
Assessed the present invention relates to the assessment of battery performance, especially cell performance decay.
Background technology
Lithium ion battery is because its energy density is high, and light weight, the low advantage of self-discharge rate is gradually widely made
With, but as use time increases, battery can engender aging phenomenon, i.e., so-called cell performance decay.Cell decay
Not only it is related to the service life of battery, is also related to replacing and the maintenance cost of product, how quickly to assess battery in real time
Fade performance using battery for being preferably of great importance.The current calculating to cell performance decay coefficient is generally by survey
Measure battery capacity obtain, specialty charging/discharging apparatus on determine respectively battery initial capacity and use after capacity,
The size of two capacity is contrasted, the attenuation rate of battery can be calculated.The attenuation rate obtained in this way is more accurate, base
Instinct correctly reflects the attenuation of battery.But before volume test is carried out, it is pre- to the attenuation neither one of battery
Estimate, can so cause battery may need to scrap and also using or can also continue to using pulling down battery
Come.
The content of the invention
The technical problems to be solved by the invention are：For above-mentioned problem dynamic statistics, standard are based on there is provided one kind
The high cell performance decay appraisal procedure of exactness.
The technical solution adopted by the present invention is as follows:
A kind of cell performance decay appraisal procedure based on statistical method, is specifically included：
Step a, judge battery whether enter trickle charge charged state, if into step b, otherwise exiting calculating；
The magnitude of voltage and storage of step b, measurement battery in default SOC states, the SOC represent battery dump energy hundred
Divide ratio；
Step c, the corresponding voltage value for the record that dispatches from the factory with battery are compared, and calculate the decay system of each default SOC states battery
Number；
Step d, the maximum attenuation coefficient that step c is obtained is taken as the final attenuation coefficient of battery.
Further, the cell voltage value of all monomers contained in default SOC state battery bags is measured in the step b,
Calculate cell voltage value average as battery the SOC states magnitude of voltage.
Further, in the step c a certain SOC states cell decay coefficient：
Further, step c ' is can perform between the step b and step c：Calculate last obtained same SOC states
Battery voltage value and the battery voltage value of this measurement average as this obtained battery of measurement in a certain SOC states
Integrated voltage value.
In summary, by adopting the above-described technical solution, the beneficial effects of the invention are as follows：Existed by dynamic statistics battery
Magnitude of voltage during different SOC states, the parameter value of adjustment attenuation coefficient, and then realize to battery in real time during battery use
The real-time assessment of decay；The cell decay coefficient degree of accuracy height obtained simultaneously using this kind of method, can correctly reflect battery substantially
Attenuation.
Brief description of the drawings
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein：
Fig. 1 is appraisal procedure flow chart provided in an embodiment of the present invention.
Embodiment
All features disclosed in this specification, or disclosed all methods or during the step of, except mutually exclusive
Feature and/or step beyond, can combine in any way.
Any feature disclosed in this specification, unless specifically stated otherwise, can be equivalent by other or with similar purpose
Alternative features are replaced.I.e., unless specifically stated otherwise, each feature is an example in a series of equivalent or similar characteristics
.
Appraisal procedure disclosed by the invention needs to combine battery management system (BMS) and big data backstage is carried out, and BMS is carried out
Real-time estimation, big data backstage is handled the BMS data uploaded.
Fig. 1 is appraisal procedure flow chart provided in an embodiment of the present invention, as shown in figure 1, a kind of electricity based on statistical method
Pond performance degradation appraisal procedure, is specifically included：
Step a, judge battery whether enter trickle charge charged state, if into step b, otherwise exiting calculating；
The magnitude of voltage and storage of step b, measurement battery in default SOC states, the SOC represent battery dump energy hundred
Divide ratio；
Step c, the corresponding voltage value for the record that dispatches from the factory with battery are compared, and calculate the decay system of each default SOC states battery
Number；
Step d, the maximum attenuation coefficient that step c is obtained is taken as the final attenuation coefficient of battery.
Battery is smaller in trickle charge charged state charging current, and battery temperature and voltage change fluctuation be not obvious, now battery
Voltage is approximately equal to the real voltage of battery.Appraisal procedure disclosed by the invention first determines whether whether battery enters trickle charge charging shape
State, is calculated if not entering into trickle charge charged state without assessing.
Magnitude of voltage and storage of the battery in default SOC states are measured in step b, optimally, the SOC states set as
10%th, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100% totally 10 states, measurement battery is at this 10
The magnitude of voltage of SOC states, is not measured the state beyond the default SOC states.Battery is by many monomer compositions, the step
The cell voltage value of all monomers that battery bag contains in default SOC states is measured in rapid b, and calculates the monomer electricity of all monomers
The average of pressure value as battery the SOC states magnitude of voltage.
The step c is completed by big data platform, and the cell decay coefficient of a certain SOC states is
The attenuation coefficient of each default SOC states battery is calculated respectively, is chosen maximum of which attenuation coefficient and is used as battery
Attenuation coefficient.The step c can draw battery SOC state-magnitude of voltage curve map of measurement, and the battery provided with producer
Initial SOC states-magnitude of voltage curve ratio is compared with the attenuation coefficient of preresearch estimates battery.
Optimally, step c ' is can perform between the step b and step c：When calculating the same SOC states that the last time obtains
During a certain as this obtained battery of measurement SOC states of the average of the magnitude of voltage of battery and the average voltage level of this measurement
Integrated voltage value.Now in the step c a certain SOC states cell decay coefficient：
The invention is not limited in foregoing embodiment.The present invention, which is expanded to, any in this manual to be disclosed
New feature or any new combination, and disclose any new method or process the step of or any new combination.
Claims (5)
1. a kind of cell performance decay appraisal procedure based on statistical method, it is characterised in that including：
Step a, judge battery whether enter trickle charge charged state, if into step b, otherwise exiting calculating；
The magnitude of voltage and storage of step b, measurement battery in default SOC states, the SOC represent battery dump energy percentage
Than；
Step c, the corresponding voltage value for the record that dispatches from the factory with battery are compared, and calculate the attenuation coefficient of each default SOC states battery；
Step d, the maximum attenuation coefficient that step c is obtained is taken as the final attenuation coefficient of battery.
2. a kind of cell performance decay appraisal procedure based on statistical method according to claim 1, it is characterised in that institute
The cell voltage value that all monomers contained in default SOC state battery bags are measured in step b is stated, the average of cell voltage value is calculated
As battery the SOC states magnitude of voltage.
3. a kind of cell performance decay appraisal procedure based on statistical method according to claim 2, it is characterised in that institute
State the cell decay coefficient of a certain SOC states in step c：
4. a kind of cell performance decay appraisal procedure based on statistical method according to claim 2, it is characterised in that institute
State and step c ' is can perform between step b and step c：Calculate last obtained same SOC states battery voltage value and this
Integrated voltage value of the battery that the average of the battery voltage value of measurement is obtained as this measurement in a certain SOC states.
5. a kind of cell performance decay appraisal procedure based on statistical method according to claim 4, it is characterised in that institute
State the cell decay coefficient of a certain SOC states in step c：
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710292921.3A CN107102270A (en) | 2017-04-28 | 2017-04-28 | A kind of cell performance decay evaluation method based on statistical method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710292921.3A CN107102270A (en) | 2017-04-28 | 2017-04-28 | A kind of cell performance decay evaluation method based on statistical method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107102270A true CN107102270A (en) | 2017-08-29 |
Family
ID=59657679
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710292921.3A Pending CN107102270A (en) | 2017-04-28 | 2017-04-28 | A kind of cell performance decay evaluation method based on statistical method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107102270A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108398648A (en) * | 2018-03-02 | 2018-08-14 | 万帮充电设备有限公司 | Analyze the method, apparatus and charging pile of cell decay rate |
| CN110531268A (en) * | 2019-08-26 | 2019-12-03 | 汉纳森（厦门）数据股份有限公司 | A kind of method and apparatus of battery life analysis |
| CN111308352A (en) * | 2019-11-28 | 2020-06-19 | 湖南海博瑞德电智控制技术有限公司 | Method for estimating battery attenuation of lithium ions |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101144850A (en) * | 2007-10-29 | 2008-03-19 | 清华大学 | Fuel cell voltage attenuation quick determination method and device |
| US20100052617A1 (en) * | 2008-09-03 | 2010-03-04 | Toyota Jidosha Kabushiki Kaisha | Degradation determination method for lithium-ion battery, control method for lithium-ion battery, degradation determination apparatus for lithium-ion battery, control apparatus for lithium-ion battery, and vehicle |
| CN103048625A (en) * | 2011-10-17 | 2013-04-17 | 国际商业机器公司 | System, method, and program for predicting state of battery |
| CN103158571A (en) * | 2011-12-08 | 2013-06-19 | 现代自动车株式会社 | Technique of determining degradation of high-voltage battery for vehicle |
| CN103376414A (en) * | 2012-04-25 | 2013-10-30 | 腾讯科技（深圳）有限公司 | Method and device for monitoring electric quantity of battery |
| CN104422892A (en) * | 2013-08-23 | 2015-03-18 | 现代自动车株式会社 | Degradation estimation method and system for high voltage battery |
| CN105572601A (en) * | 2016-03-15 | 2016-05-11 | 河北工业大学 | Judgment method for the reason of lithium battery performance degradation |
| US20170031404A1 (en) * | 2015-07-31 | 2017-02-02 | Kabushiki Kaisha Toshiba | Storage-battery evaluation device, energy storage system, and storage-battery evaluation method |
-
2017
- 2017-04-28 CN CN201710292921.3A patent/CN107102270A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101144850A (en) * | 2007-10-29 | 2008-03-19 | 清华大学 | Fuel cell voltage attenuation quick determination method and device |
| US20100052617A1 (en) * | 2008-09-03 | 2010-03-04 | Toyota Jidosha Kabushiki Kaisha | Degradation determination method for lithium-ion battery, control method for lithium-ion battery, degradation determination apparatus for lithium-ion battery, control apparatus for lithium-ion battery, and vehicle |
| CN103048625A (en) * | 2011-10-17 | 2013-04-17 | 国际商业机器公司 | System, method, and program for predicting state of battery |
| CN103158571A (en) * | 2011-12-08 | 2013-06-19 | 现代自动车株式会社 | Technique of determining degradation of high-voltage battery for vehicle |
| CN103376414A (en) * | 2012-04-25 | 2013-10-30 | 腾讯科技（深圳）有限公司 | Method and device for monitoring electric quantity of battery |
| CN104422892A (en) * | 2013-08-23 | 2015-03-18 | 现代自动车株式会社 | Degradation estimation method and system for high voltage battery |
| US20170031404A1 (en) * | 2015-07-31 | 2017-02-02 | Kabushiki Kaisha Toshiba | Storage-battery evaluation device, energy storage system, and storage-battery evaluation method |
| CN105572601A (en) * | 2016-03-15 | 2016-05-11 | 河北工业大学 | Judgment method for the reason of lithium battery performance degradation |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108398648A (en) * | 2018-03-02 | 2018-08-14 | 万帮充电设备有限公司 | Analyze the method, apparatus and charging pile of cell decay rate |
| CN110531268A (en) * | 2019-08-26 | 2019-12-03 | 汉纳森（厦门）数据股份有限公司 | A kind of method and apparatus of battery life analysis |
| CN111308352A (en) * | 2019-11-28 | 2020-06-19 | 湖南海博瑞德电智控制技术有限公司 | Method for estimating battery attenuation of lithium ions |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107991623B (en) | Battery ampere-hour integral SOC estimation method considering temperature and aging degree | |
| KR102301406B1 (en) | SOC Calibration Method and Apparatus | |
| EP3285081B1 (en) | Battery state of health detection device and method | |
| CN110988702B (en) | Battery available capacity determination method, device, management system and storage medium | |
| EP2490034B1 (en) | Storage battery device, storage battery state of charge evaluation device and method | |
| CN111381178B (en) | Method and system for estimating health state of lithium ion battery | |
| CN108680868B (en) | Battery pack cycle test consistency analysis method | |
| KR101972521B1 (en) | Apparatus and method for performance testing of a battery cell | |
| US20160195589A1 (en) | Degradation diagnosis system and degradation diagnosis method for secondary battery | |
| CN110549909B (en) | SOH calculation method and device of power battery pack and electric vehicle | |
| CN104502855B (en) | Lead-acid accumulator SOH detection methods and system | |
| EP3719515B1 (en) | Evaluation device, evaluation method, and computer program | |
| KR20150108748A (en) | Calculation apparatus and calculation method | |
| CN107664751A (en) | The measuring method and measuring and calculating device of a kind of real-time state-of-charge of battery | |
| CN107942261B (en) | Method and system for estimating state of charge of battery | |
| CN103412264B (en) | The conforming evaluation method of cell in battery pack | |
| CN105866700B (en) | A kind of method that lithium ion battery quickly screens | |
| CN102590751A (en) | Assessment method and device for consistency of power battery pack | |
| US8878489B2 (en) | Estimation method for residual discharging time of batteries | |
| CN113219351A (en) | Monitoring method and device for power battery | |
| CN113406523A (en) | Energy storage battery state evaluation method and device, electronic equipment and storage system | |
| CN107102270A (en) | A kind of cell performance decay evaluation method based on statistical method | |
| CN108120932A (en) | The method and apparatus estimated the cell health state of rechargeable battery | |
| CN104237792B (en) | Battery capacity prediction method | |
| CN115047347A (en) | Method for judging residual electric quantity of underwater vehicle battery under dynamic load current |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170829 |
|
| RJ01 | Rejection of invention patent application after publication |