CN108061858A - Lithium battery SOC appraisal procedures based on ohmic internal resistance - Google Patents
Lithium battery SOC appraisal procedures based on ohmic internal resistance Download PDFInfo
- Publication number
- CN108061858A CN108061858A CN201711052323.5A CN201711052323A CN108061858A CN 108061858 A CN108061858 A CN 108061858A CN 201711052323 A CN201711052323 A CN 201711052323A CN 108061858 A CN108061858 A CN 108061858A
- Authority
- CN
- China
- Prior art keywords
- lithium ion
- ion battery
- internal resistance
- ohmic internal
- 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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
-
- 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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
-
- 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]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The present invention provides a kind of lithium battery SOC appraisal procedures based on ohmic internal resistance, which is characterized in that comprises the following steps：Assess the charge states of lithium ion battery of lithium ion battery；Obtain the ohmic internal resistance of lithium ion battery；Effective maximum capacity of lithium ion battery under current state is obtained according to charge states of lithium ion battery and ohmic internal resistance；Lithium ion battery OCV SOC curves are corrected according to effective maximum capacity；OCV SOC curves are corrected repeatedly.The present invention obtains effective maximum capacity of current lithium ion battery by the ohmic internal resistance characteristic of battery, and then optimizes lithium ion battery OCV SOC curves, obtains accurate SOC assessment results.Method is simple, highly practical, and SOC precision is high, may be directly applied to lithium ion battery management system.
Description
Technical field
The present invention relates to a kind of for assessing the method for the charge states of lithium ion battery of lithium ion battery.
Background technology
Charge states of lithium ion battery (SOC) is the important parameter of lithium ion battery, due to can not in cell operating status
SOC is directly measured, this parameter needs to obtain by algorithm evaluation.
Current various algorithms mainly according to the homologous thread OCV-SOC of the open-circuit voltage of lithium battery and SOC as reference
Curve obtains lithium battery SOC parameter according to lithium battery equivalent-circuit model.However OCV-SOC curves are not in practical situations
Unalterable.Early-stage study shows that OCV-SOC curves change with the effective maximum capacity of battery.If it obtains accurate
Lithium battery SOC changes as a result, must take into consideration the OCV-SOC curves caused by the current maximum capacity variation of lithium battery.At present, it is main
If obtaining the effective maximum capacity of lithium battery by the method for electrochemistry, this method is very difficult in practical applications.
The content of the invention
The purpose of the present invention is：OCV-SOC curves are modified, so as to obtain more accurate lithium battery SOC.
In order to achieve the above object, the technical scheme is that providing a kind of lithium battery SOC based on ohmic internal resistance
Appraisal procedure, which is characterized in that comprise the following steps：
Step 1, according to lithium ion battery OCV-SOC curves and the lithium-ion electric of voltage parameter check and evaluation lithium ion battery
Pond state-of-charge；
Step 2, the ohmic internal resistance for obtaining lithium ion battery；
The ohmic internal resistance that step 3, the charge states of lithium ion battery obtained according to step 1 and step 2 obtain obtains current
Effective maximum capacity of lithium ion battery under state；
Step 4 corrects lithium ion battery OCV-SOC curves according to effective maximum capacity；
Step 5 repeats step 1-4.
Preferably, ohmic internal resistance described in step 2 is obtained by measuring or obtained by calculating.
Preferably, charge states of lithium ion battery described in step 1 for a certain moment charge states of lithium ion battery or
For the charge states of lithium ion battery of certain time period；Ohmic internal resistance described in step 2 is the ohmic internal resistance at a certain moment or is
The ohmic internal resistance of certain time period.
The present invention obtains effective maximum capacity of current lithium ion battery, Jin Eryou by the ohmic internal resistance characteristic of battery
Change lithium ion battery OCV-SOC curves, obtain accurate SOC assessment results.Method is simple, highly practical, and SOC precision is high, can
To directly apply to lithium ion battery management system.
Description of the drawings
Fig. 1 is the process flow chart of the present invention.
Specific embodiment
To be clearer and more comprehensible the present invention, hereby with preferred embodiment, and attached drawing is coordinated to be described in detail below.
In classical lithium battery equivalent-circuit model, the internal resistance of cell includes ohmic internal resistance and polarization resistance two parts.Wherein,
The temperature of ohmic internal resistance and lithium ion battery, Degree of Ageing and SOC are related and in regularity variation.Simultaneously, lithium battery is effective
Maximum capacity is also related to Degree of Ageing to the temperature of battery and in regularity variation.For example, when the decline of lithium example battery temperature, lithium
The effective maximum capacity of battery declines, and battery ohmic internal resistance rises；When lithium example cell degradation degree rises, lithium battery is effectively maximum to be held
Amount declines, and battery ohmic internal resistance rises.The ohmic internal resistance of lithium ion battery has correlation with the effective maximum capacity of battery.
The present invention passes through specific SOC states according to the correlation properties of lithium ion battery ohmic internal resistance and effective maximum capacity
Under ohmic internal resistance value, obtain the effective maximum capacity of current lithium ion battery, and according to this effective maximum capacity of battery correct it is current
OCV-SOC curves, then pass through the accurate lithium battery SOC of the curve acquisition subsequent time.With reference to Fig. 1, specific steps of the invention
It is as follows：
Step 1, according to lithium ion battery OCV-SOC curves and the lithium-ion electric of voltage parameter check and evaluation lithium ion battery
Pond state-of-charge, charge states of lithium ion battery are the charge states of lithium ion battery at a certain moment or are certain time period
Charge states of lithium ion battery.
Step 2, the ohmic internal resistance for obtaining lithium ion battery, ohmic internal resistance are the ohmic internal resistance at a certain moment or are a certain
The ohmic internal resistance of period.Ohmic internal resistance can be obtained by measuring, and can also be obtained by calculating.
The ohmic internal resistance that step 3, the charge states of lithium ion battery obtained according to step 1 and step 2 obtain obtains current
Effective maximum capacity of lithium ion battery under state；
Step 4 corrects lithium ion battery OCV-SOC curves according to effective maximum capacity；
Step 5 repeats step 1-4.
The present invention obtains the effective maximum capacity of present battery, the current OCV- of feedback modifiers by current ohmic internal resistance and SOC
SOC curves can effectively promote the precision of SOC assessments.
Claims (3)
1. a kind of lithium battery SOC appraisal procedures based on ohmic internal resistance, which is characterized in that comprise the following steps：
Step 1, the lithium ion battery lotus according to lithium ion battery OCV-SOC curves and voltage parameter check and evaluation lithium ion battery
Electricity condition；
Step 2, the ohmic internal resistance for obtaining lithium ion battery；
The ohmic internal resistance that step 3, the charge states of lithium ion battery obtained according to step 1 and step 2 obtain obtains current state
Effective maximum capacity of lower lithium ion battery；
Step 4 corrects lithium ion battery OCV-SOC curves according to effective maximum capacity；
Step 5 repeats step 1-4.
2. a kind of lithium battery SOC appraisal procedures based on ohmic internal resistance as described in claim 1, which is characterized in that in step 2
The ohmic internal resistance is obtained by measuring or obtained by calculating.
3. a kind of lithium battery SOC appraisal procedures based on ohmic internal resistance as described in claim 1, which is characterized in that in step 1
The charge states of lithium ion battery for a certain moment charge states of lithium ion battery or be certain time period lithium-ion electric
Pond state-of-charge；Ohmic internal resistance described in step 2 for a certain moment ohmic internal resistance or be certain time period ohmic internal resistance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711052323.5A CN108061858A (en) | 2017-10-30 | 2017-10-30 | Lithium battery SOC appraisal procedures based on ohmic internal resistance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711052323.5A CN108061858A (en) | 2017-10-30 | 2017-10-30 | Lithium battery SOC appraisal procedures based on ohmic internal resistance |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108061858A true CN108061858A (en) | 2018-05-22 |
Family
ID=62135579
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711052323.5A Pending CN108061858A (en) | 2017-10-30 | 2017-10-30 | Lithium battery SOC appraisal procedures based on ohmic internal resistance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108061858A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108802626A (en) * | 2018-06-22 | 2018-11-13 | 佛山市长郡科技有限公司 | A kind of intelligent battery diagnostic device |
| CN109031135A (en) * | 2018-06-22 | 2018-12-18 | 佛山市长郡科技有限公司 | A kind of rechargeable battery SOC estimation device |
| CN109856562A (en) * | 2019-01-30 | 2019-06-07 | 华北电力大学 | Lithium battery echelon based on adaptive " I-U-R " method utilizes detection method |
| CN111323722A (en) * | 2020-02-24 | 2020-06-23 | 吉利汽车研究院（宁波）有限公司 | Method and device for determining state of charge of battery |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101819259A (en) * | 2010-05-06 | 2010-09-01 | 惠州市亿能电子有限公司 | Method for evaluating consistency of battery pack |
| CN102156265A (en) * | 2011-03-16 | 2011-08-17 | 深圳市派司德科技有限公司 | Device and method for testing health state of battery |
| CN104977537A (en) * | 2014-04-14 | 2015-10-14 | 微宏动力系统（湖州）有限公司 | Battery SOC determination method and battery management system using method |
| CN105842627A (en) * | 2016-02-01 | 2016-08-10 | 北京理工大学 | Method for estimating power battery capacity and charge state based on data model fusion |
| CN105866700A (en) * | 2016-05-30 | 2016-08-17 | 广西大学 | Lithium ion battery quick screening method |
| CN106291381A (en) * | 2016-08-16 | 2017-01-04 | 北京理工大学 | A kind of Combined estimator electrokinetic cell system state-of-charge and the method for health status |
-
2017
- 2017-10-30 CN CN201711052323.5A patent/CN108061858A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101819259A (en) * | 2010-05-06 | 2010-09-01 | 惠州市亿能电子有限公司 | Method for evaluating consistency of battery pack |
| CN102156265A (en) * | 2011-03-16 | 2011-08-17 | 深圳市派司德科技有限公司 | Device and method for testing health state of battery |
| CN104977537A (en) * | 2014-04-14 | 2015-10-14 | 微宏动力系统（湖州）有限公司 | Battery SOC determination method and battery management system using method |
| CN105842627A (en) * | 2016-02-01 | 2016-08-10 | 北京理工大学 | Method for estimating power battery capacity and charge state based on data model fusion |
| CN105866700A (en) * | 2016-05-30 | 2016-08-17 | 广西大学 | Lithium ion battery quick screening method |
| CN106291381A (en) * | 2016-08-16 | 2017-01-04 | 北京理工大学 | A kind of Combined estimator electrokinetic cell system state-of-charge and the method for health status |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108802626A (en) * | 2018-06-22 | 2018-11-13 | 佛山市长郡科技有限公司 | A kind of intelligent battery diagnostic device |
| CN109031135A (en) * | 2018-06-22 | 2018-12-18 | 佛山市长郡科技有限公司 | A kind of rechargeable battery SOC estimation device |
| CN109856562A (en) * | 2019-01-30 | 2019-06-07 | 华北电力大学 | Lithium battery echelon based on adaptive " I-U-R " method utilizes detection method |
| CN111323722A (en) * | 2020-02-24 | 2020-06-23 | 吉利汽车研究院（宁波）有限公司 | Method and device for determining state of charge of battery |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9859736B2 (en) | Battery control method based on ageing-adaptive operation window | |
| Yang et al. | An online SOC and capacity estimation method for aged lithium-ion battery pack considering cell inconsistency | |
| CN107076801B (en) | Electrochemical impedance spectroscopy in battery management systems | |
| CN108061858A (en) | Lithium battery SOC appraisal procedures based on ohmic internal resistance | |
| CN108919137B (en) | A kind of battery aging status estimation method considering different battery status | |
| CN106716158B (en) | Battery charge state evaluation method and device | |
| CN105277898B (en) | A kind of detection method of battery charge state | |
| CN105015360B (en) | Automobile power cell SOF monitoring method | |
| CN105467328B (en) | A kind of charge states of lithium ion battery method of estimation | |
| CN103728563B (en) | A kind of measuring method of cell health state | |
| US20150226811A1 (en) | Apparatus and method for estimating internal resistance of battery pack | |
| CN104007395B (en) | Charge states of lithium ion battery and parameter adaptive combined estimation method | |
| US20160252582A1 (en) | State-of-charge estimating device, state-of-charge determining method, and state-of-charge determining program | |
| CN105548898A (en) | Lithium battery SOC estimation method of off-line data segmentation correction | |
| CN108732503A (en) | A kind of cell health state and battery capacity check method and device | |
| CN104502859A (en) | Detection and diagnosis method for battery charge and battery health state | |
| DE102010011896A1 (en) | Battery meter, battery management system and vehicle | |
| JP6333981B2 (en) | Charge / discharge device charge current accuracy detection device | |
| US20160223617A1 (en) | Apparatus and method for estimating life of energy storage device and energy storage system | |
| CN106997026B (en) | Method and device for determining the residual capacity of a lead-acid battery | |
| KR20170034191A (en) | Diagnosis Method for State of Health of Lithium Secondary Battery | |
| WO2016106501A1 (en) | Equivalent circuit model of battery | |
| CN105891715A (en) | Lithium ion battery health state estimation method | |
| Jiang et al. | Modeling charge polarization voltage for large lithium-ion batteries in electric vehicles | |
| CN107219021B (en) | Method and device for detecting temperature of battery |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180522 |
|
| WD01 | Invention patent application deemed withdrawn after publication |