CN106033114B - A kind of energy-storage battery health state evaluation method - Google Patents
A kind of energy-storage battery health state evaluation method Download PDFInfo
- Publication number
- CN106033114B CN106033114B CN201510122357.1A CN201510122357A CN106033114B CN 106033114 B CN106033114 B CN 106033114B CN 201510122357 A CN201510122357 A CN 201510122357A CN 106033114 B CN106033114 B CN 106033114B
- Authority
- CN
- China
- Prior art keywords
- battery
- external characteristics
- energy
- parameter
- supplemental characteristic
- 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.)
- Active
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 37
- 230000036541 health Effects 0.000 title claims abstract description 36
- 238000011156 evaluation Methods 0.000 title claims abstract description 12
- 238000000034 method Methods 0.000 claims abstract description 31
- 230000000153 supplemental effect Effects 0.000 claims abstract description 21
- 230000003862 health status Effects 0.000 claims abstract description 9
- 230000008859 change Effects 0.000 claims description 3
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 abstract description 5
- 229910001416 lithium ion Inorganic materials 0.000 abstract description 5
- 238000012423 maintenance Methods 0.000 abstract description 5
- 238000012360 testing method Methods 0.000 abstract description 5
- 238000013102 re-test Methods 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 description 6
- 230000014759 maintenance of location Effects 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 5
- 230000032683 aging Effects 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 230000007812 deficiency Effects 0.000 description 2
- 229910052744 lithium Inorganic materials 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 239000005955 Ferric phosphate Substances 0.000 description 1
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000157 electrochemical-induced impedance spectroscopy Methods 0.000 description 1
- 238000005562 fading Methods 0.000 description 1
- 229940032958 ferric phosphate Drugs 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- WBJZTOZJJYAKHQ-UHFFFAOYSA-K iron(3+) phosphate Chemical compound [Fe+3].[O-]P([O-])([O-])=O WBJZTOZJJYAKHQ-UHFFFAOYSA-K 0.000 description 1
- 229910000399 iron(III) phosphate Inorganic materials 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Abstract
The present invention provides a kind of energy-storage battery health state evaluation methods, the described method comprises the following steps: the external characteristics supplemental characteristic of I, the acquisition energy-storage battery, and calculate the stability bandwidth of the external characteristics supplemental characteristic；After II, the energy-storage battery circular flow several times, external characteristics supplemental characteristic is acquired, and calculate the stability bandwidth of the external characteristics supplemental characteristic；III, the variation for calculating the stability bandwidth, judge whether the battery is healthy.Method provided by the invention, the health status of battery is quantitatively evaluated by the external characteristics parameter fluctuation amplitude of retest under battery the same terms, this method test is simple, is not necessarily to complicated algorithm, and can realize real-time, online evaluation, foundation can be provided for the routine use of lithium ion battery and maintenance.
Description
Technical field
The present invention relates to a kind of method of secondary cell technical field of energy storage, in particular to a kind of energy-storage battery health shape
State appraisal procedure.
Background technique
Battery energy storage is an important branch of current energy storage technology development, and lithium ion secondary battery technology is then battery storage
Most potential one of technology in energy, have many advantages, such as that energy density is big, have extended cycle life, self-discharge rate it is low.However, it
Safety always without very good solution, more safety accidents due to caused by power battery of electric motor car in recent years cause
Safety worries of the people for lithium ion secondary battery energy storage.In addition, the consistency due to " wooden pail effect ", i.e., between battery
Difference, the service life after will cause lithium ion battery in groups are substantially less than the service life of battery cell, and the aging of battery cell will cause
The overall performance rapid decrease of battery pack and battery system.
In order to improve battery energy storage application safety, and from convenient for battery operation management, maintenance angle, need
The state of battery is detected, be assessed.At present commonly to the state-of-charge of battery (State of Charge, SOC)
With the online evaluation technology of health status (State of health, SOH), wherein the assessment technology of health status mainly with
Battery is investigation object, assesses the current operating conditions of battery, by comparing with original state, judges battery health degree, is
Operational management, maintenance and the maintenance of battery energy storage system provide foundation and judgment criteria.
There are no unified statement, majority refers under certain conditions the health status of current battery, and battery can fill
Enter or release the percentage of electricity (the current capability value of battery) and battery nominal capacity.SOH reaction is using middle battery
Capacity retention ratio, the new battery just to have dispatched from the factory to one piece, SOH value 100%, with the gradually aging of battery, battery SOH value
It will constantly reduce, be provided according to ieee standard, when the capability value of power battery drops to 80%, battery aging and cannot be made
With battery should be replaced in time.Cell degradation be interfere lithium battery electrical automobile and the widely applied principal element of energy storage field it
One.
In the prior art, the method for estimating SOH has following several: 1. directly volumetric method is surveyed in electric discharge, and this method is to SOH
Test and assess most reliable method, but can only off-line measurement, be not able to satisfy the requirement of on-line measurement；2. Electrode with Electrochemical Impedance Spectroscopy, this
Method is most common method in laboratory research, and measurement analysis result is with strong points, but at high cost, data processing complex；
3. voltage curve modelling, when studying battery charging and discharging the end voltage of battery with SOH relationship and establish a kind of method of model,
Although this method modeling period is short, process is simple, and the battery of a style number corresponds to a kind of model, for different model
Battery needs to re-establish model, and for the battery types of stable operating voltage (such as ferric phosphate lithium cell), the end of battery
Voltage is not it is obvious that SOH estimation accuracy is still to be improved with the internal relation of battery SOH.However, these methods are equal at present
It is that the attenuation of battery capacity is judged according to technological means to indicate the health degree of battery, and the health degree of battery and electricity
Tankage attenuation degree does not have absolute one-to-one relationship simultaneously, and the decaying of battery capacity, the aging of performance etc. are only
The part phenomenon for the performance that cell health state deteriorates, this patent are thought in addition to this expression cell health state journey of inducing capacity fading
Except the representation method of degree, the stability of battery external characteristics also should be regarded as a kind of performance of cell health state, i.e. battery is being transported
The variation of the stability bandwidth of external characteristics in the row period, also can reflect out the health status of battery, because of the stabilization of battery external characteristics
Degree decides that battery as the running quality during energy storage, has significant impact for the stability of entire energy-storage system,
And existing cell health state assessment technology can not judge the stability of battery external characteristics at present.
Therefore, from the angle of stability, need to propose a kind of method for assessing energy-storage battery health status.
Summary of the invention
To overcome above-mentioned the deficiencies in the prior art, the present invention provides a kind of energy-storage battery health state evaluation method.
Realize solution used by above-mentioned purpose are as follows:
A kind of energy-storage battery health state evaluation method, the described method comprises the following steps:
I, the external characteristics supplemental characteristic of the energy-storage battery is acquired, and calculates the stability bandwidth of the external characteristics supplemental characteristic；
After II, the energy-storage battery circular flow several times, external characteristics supplemental characteristic is acquired, and calculates the external characteristics ginseng
The stability bandwidth of number data；
III, the variation for calculating the stability bandwidth, judge whether the battery is healthy.
Preferably, the external characteristics parameter includes voltage, capacity, internal resistance, energy and the power of battery.
Preferably, in the step I, the stability bandwidth for calculating the external characteristics supplemental characteristic includes:
Calculate in fixed time period or the variance of the external characteristics parameter in fixed cycles number, mean square deviation, it is very poor and
The coefficient of variation.
Preferably, the stability bandwidth for calculating the external characteristics supplemental characteristic includes:
It calculates in fixed time period or the variance of the external characteristics parameter of battery in fixed cycles number, mean square deviation, very poor
And the coefficient of variation；
Fixed time period or the variance D of the battery external characteristics parameter x in fixed cycles frequency n are determined as the following formula:
Fixed time period or the meansquaredeviationσ of the battery external characteristics parameter x in fixed cycles frequency n are determined as the following formula:
Fixed time period or the very poor A of the battery external characteristics parameter x in fixed cycles frequency n are determined as the following formula:
A(xn)=xmax,n-xmin,n；
The coefficient of variation CV of the battery external characteristics parameter x in fixed time period or in fixed cycles frequency n is determined as the following formula:
In above formula,For average value of the external characteristics parameter in fixed time period or fixed cycles number, xmax,n、xmin,nPoint
Not Biao Shi battery external characteristics x time point n maximum parameter, minimum parameter.
Preferably, in the step III, judge whether health includes: with the external characteristics of the energy-storage battery to the battery
Origin of the base value of parameter fluctuation variation assessment parameter as cell health state, to assess parameter JnWith base value J0Between quotient
It is worth the criterion as cell health state；
The criterion J of the cell health state is determined as the following formula:
Compared with prior art, the invention has the following advantages:
1, method provided by the invention is determined by the external characteristics parameter fluctuation amplitude of retest under battery the same terms
The health status of assessment battery is measured, this method test is simple, is not necessarily to complicated algorithm, and can realize real-time, online evaluation, Ke Yiwei
The routine use of lithium ion battery and maintenance provide foundation.
2, different from the content that traditional cell health state method is assessed, method of the invention is not for battery capacity
The appraisal procedure of conservation rate, but with external characteristics such as voltage, capacity, internal resistance, energy and power in battery During Process of Long-term Operation
Parameter of the fluctuating range of parameter as characterization cell health state, according to the wave of the external characteristics parameter in battery life cycle management
The variation of dynamic amplitude is assessed, judges cell health state.
3, the stability of electric system is important system measurement index, and energy-storage system participates in power grid peak load shifting, tracking
The operational modes such as plan power output, other than the energy of energy-storage system, power output capacity meet power grid demand, stability is also right
Power grid has important influence, and the fluctuation of battery external characteristics parameter is integrally amplified by energy-storage system, can be to the electricity being attached thereto
Net system causes probabilistic influence and certain burden, and existing cell health state appraisal procedure can not be directed at present
This situation is effectively assessed, and the invention patent proposes a kind of new from operation of power networks demand from the concept of stability
Cell health state appraisal procedure, supplement current battery health state evaluation deficiency.
Detailed description of the invention
Fig. 1 is the energy-storage battery health state evaluation method flow diagram based on fluctuating range in the present invention；
Fig. 2 is battery capacity and cycle-index curve relation figure in the present embodiment；
Fig. 3 is battery capacity conservation rate and cycle-index curve relation figure in the present embodiment；
Fig. 4 is the mean square deviation schematic diagram of the capacity retention ratio of ten test periods of battery in the present embodiment.
Specific embodiment
A specific embodiment of the invention is described in further detail with reference to the accompanying drawing.
A kind of energy-storage battery health state evaluation method, this method assess cell health state based on fluctuating range, tool
For body, method includes the following steps:
Step 1: acquiring the external characteristics supplemental characteristic of the energy-storage battery, and calculate the wave of the external characteristics supplemental characteristic
Dynamic rate；
Step 2: acquiring external characteristics supplemental characteristic, and calculate the outer spy after the energy-storage battery circular flow several times
The stability bandwidth of property supplemental characteristic；
Step 3: calculating the variation of the stability bandwidth, judge whether the battery is healthy.
The external characteristics parameter includes cell voltage, capacity, internal resistance and energy, power.In step 1, the set time is acquired
The external characteristics supplemental characteristic in cell operation in section or in fixed cycles number.
As shown in Figure 2,3, the respectively battery capacity of certain producer production and cycle-index curved line relation instance graph, battery is held
Measure conservation rate and cycle-index curve exemplary diagram.
Can be seen that the external characteristics parameter of the battery --- capacity and capacity retention ratio are as cycle-index is gradually declining
Subtract, and the stability of capacity and capacity retention ratio is also running down, shows as the fluctuation for frequently occurring different amplitudes, such as
The mean square deviation of capacity retention ratio is increased to 0.3,1.1 from 0.01 in Fig. 3.
In step 1, the stability bandwidth for calculating the external characteristics supplemental characteristic includes:
Calculate in fixed time period or the variance of the external characteristics parameter in fixed cycles number, mean square deviation, it is very poor and
The coefficient of variation.
The stability bandwidth for calculating the external characteristics supplemental characteristic includes:
Calculate in fixed time period or the variance of battery external characteristics parameter in fixed cycles number, mean square deviation, it is very poor and
The coefficient of variation.
The calculation formula of the variance D of battery external characteristics parameter x in fixed time period or fixed cycles frequency n are as follows:
Wherein, n is time point or fixed cycles number；xn、Respectively corresponding to set time or fixed cycles frequency n
External characteristics parameter and its average value；
The calculation formula of the meansquaredeviationσ of battery external characteristics parameter x in set time point or fixed cycles frequency n are as follows:
Wherein, n is time point or fixed cycles number；xn、Respectively corresponding to set time or fixed cycles frequency n
External characteristics parameter and its average value.As shown in figure 4, the mean square deviation that Fig. 4 is the capacity retention ratio of ten test periods of battery is shown
It is intended to；
The calculation formula of the very poor A of battery external characteristics parameter x in fixed time period or fixed cycles frequency n are as follows:
A(xn)=xmax,n-xmin,n；
Wherein, n is time point or fixed cycles number；xmax,n、xmin,nBattery external characteristics parameter x is respectively indicated in the time
Maximum value, the minimum value of point n；
The calculation formula of the coefficient of variation CV of battery external characteristics parameter x in fixed time period or in fixed cycles frequency n
Are as follows:
Wherein, n is time point or fixed cycles number；xn、Respectively corresponding to set time or fixed cycles frequency n
External characteristics parameter and its average value.
In step 3, judge whether health includes: to change with the external characteristics parameter fluctuation of the energy-storage battery to the battery
Origin of the base value of parameter as cell health state is assessed, to assess parameter JnWith base value J0Between quotient it is strong as battery
The criterion of health state；
The calculation formula of the criterion J of cell health state are as follows:
Further, the present invention provides a kind of judgement embodiment, in embodiment certain producer production energy-storage battery,
When the criterion J ∈ [1,30], then judge that the energy-storage battery is in health status；
When the criterion J ∈ [31,100], then judge that the energy-storage battery is in inferior health；
When the criterion J ∈ [101, ∞], then judge that the energy-storage battery is unhealthy.
It should be noted that the range of above-mentioned criterion in actually answering according to different situations, it is different require, different model
Battery should can change.
Finally it should be noted that: above embodiments are merely to illustrate the technical solution of the application rather than to its protection scopes
Limitation, although the application is described in detail referring to above-described embodiment, those of ordinary skill in the art should
Understand: those skilled in the art read the specific embodiment of application can still be carried out after the application various changes, modification or
Person's equivalent replacement, but these changes, modification or equivalent replacement, are applying within pending claims.
Claims (2)
1. a kind of energy-storage battery health state evaluation method, it is characterised in that: the described method comprises the following steps:
I, the external characteristics supplemental characteristic of the energy-storage battery is acquired, and calculates the stability bandwidth of the external characteristics supplemental characteristic；
After II, the energy-storage battery circular flow several times, external characteristics supplemental characteristic is acquired, and calculate the external characteristics parameter number
According to stability bandwidth；
III, the variation for calculating the stability bandwidth, judge whether the battery is healthy；
In the step I, the stability bandwidth for calculating the external characteristics supplemental characteristic includes:
Calculate the variance, mean square deviation, very poor and variation of the external characteristics parameter in fixed time period or in fixed cycles number
Coefficient；
The stability bandwidth for calculating the external characteristics supplemental characteristic includes:
Calculate the variance, mean square deviation, very poor and change of the external characteristics parameter of the battery in fixed time period or in fixed cycles number
Different coefficient；
Fixed time period or the variance D of the battery external characteristics parameter x in fixed cycles frequency n are determined as the following formula:
Fixed time period or the meansquaredeviationσ of the battery external characteristics parameter x in fixed cycles frequency n are determined as the following formula:
Fixed time period or the very poor A of the battery external characteristics parameter x in fixed cycles frequency n are determined as the following formula:
A(xn)=xmax,n-xmin,n；
The coefficient of variation CV of the battery external characteristics parameter x in fixed time period or in fixed cycles frequency n is determined as the following formula:
In above formula, xn、Respectively external characteristics parameter and its average value corresponding to set time point or fixed cycles frequency n,
xmax,n、xmin,nRespectively indicate maximum value, minimum value of the battery external characteristics parameter x in time point n；In the step III, judgement
Whether health includes: using the base value of the external characteristics parameter fluctuation variation assessment parameter of the energy-storage battery as battery to the battery
The origin of health status, to assess parameter JnWith base value J0Between criterion of the quotient as cell health state；
The criterion J of the cell health state is determined as the following formula:
2. the method as described in claim 1, it is characterised in that: the external characteristics parameter includes the voltage of battery, capacity, interior
Resistance, energy and power.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510122357.1A CN106033114B (en) | 2015-03-19 | 2015-03-19 | A kind of energy-storage battery health state evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510122357.1A CN106033114B (en) | 2015-03-19 | 2015-03-19 | A kind of energy-storage battery health state evaluation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106033114A CN106033114A (en) | 2016-10-19 |
| CN106033114B true CN106033114B (en) | 2019-07-09 |
Family
ID=57148781
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510122357.1A Active CN106033114B (en) | 2015-03-19 | 2015-03-19 | A kind of energy-storage battery health state evaluation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106033114B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106610478B (en) * | 2017-01-10 | 2022-04-29 | 中国电力科学研究院 | Energy storage battery characteristic evaluation method and system based on mass data |
| CN110389302A (en) * | 2018-04-13 | 2019-10-29 | 西南科技大学 | Method for evaluating consistency between a kind of Li-ion batteries piles monomer |
| CN109856561A (en) * | 2019-01-30 | 2019-06-07 | 北京长城华冠汽车科技股份有限公司 | A kind of health state evaluation method and apparatus of Vehicular dynamic battery group |
| CN109839602B (en) * | 2019-02-02 | 2020-10-27 | 爱驰汽车（上海）有限公司 | Power battery performance and value evaluation method and device and electronic equipment |
| CN110515004A (en) * | 2019-10-08 | 2019-11-29 | 青海黄河上游水电开发有限责任公司光伏产业技术分公司 | A kind of lithium ion battery charge and discharge circulation life calculation method |
| CN112287979B (en) * | 2020-10-14 | 2023-05-23 | 北方工业大学 | Mutual information-based energy storage battery state judging method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1572042A (en) * | 2001-11-09 | 2005-01-26 | 丰田自动车株式会社 | Apparatus for judging state of assembled battery |
| CN101641606A (en) * | 2007-03-23 | 2010-02-03 | 株式会社丰田中央研究所 | State estimating device of secondary battery |
| CN102253343A (en) * | 2011-04-21 | 2011-11-23 | 北京世纪瑞尔技术股份有限公司 | Method for estimating state of health and state of charge of storage battery |
| CN103163480A (en) * | 2013-03-29 | 2013-06-19 | 长城汽车股份有限公司 | Method for estimating health state of lithium battery |
| CN103399282A (en) * | 2013-08-07 | 2013-11-20 | 清华大学 | Single battery fault diagnosing method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH1123676A (en) * | 1997-06-30 | 1999-01-29 | Sony Corp | Method and device for measuring charge characteristics of secondary cell |
| FR2963109B1 (en) * | 2010-07-23 | 2012-08-17 | Saft Groupe Sa | METHOD FOR DETERMINING A PARAMETER OF AT LEAST ONE BATTERY ACCUMULATOR |
-
2015
- 2015-03-19 CN CN201510122357.1A patent/CN106033114B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1572042A (en) * | 2001-11-09 | 2005-01-26 | 丰田自动车株式会社 | Apparatus for judging state of assembled battery |
| CN101641606A (en) * | 2007-03-23 | 2010-02-03 | 株式会社丰田中央研究所 | State estimating device of secondary battery |
| CN102253343A (en) * | 2011-04-21 | 2011-11-23 | 北京世纪瑞尔技术股份有限公司 | Method for estimating state of health and state of charge of storage battery |
| CN103163480A (en) * | 2013-03-29 | 2013-06-19 | 长城汽车股份有限公司 | Method for estimating health state of lithium battery |
| CN103399282A (en) * | 2013-08-07 | 2013-11-20 | 清华大学 | Single battery fault diagnosing method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106033114A (en) | 2016-10-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106033114B (en) | A kind of energy-storage battery health state evaluation method | |
| US10663525B2 (en) | Method and device for monitoring state of charge and state of health of lithium-ion battery | |
| CN106909716B (en) | Lithium iron phosphate battery modeling and SOC estimation method considering capacity loss | |
| CN107121643B (en) | Health state of lithium ion battery combined estimation method | |
| CN106716158B (en) | Battery charge state evaluation method and device | |
| CN104569835B (en) | A kind of method of the state-of-charge for the electrokinetic cell for estimating electric automobile | |
| CN103728563B (en) | A kind of measuring method of cell health state | |
| CN102565710B (en) | Method and apparatus for assessing battery state of health | |
| CN106033113A (en) | Health state evaluation method for energy-storage battery pack | |
| CN105021996A (en) | Battery SOH (section of health) estimation method of energy storage power station BMS (battery management system) | |
| CN106772104B (en) | A kind of power battery SOC value evaluation method | |
| CN106707180A (en) | Parallel battery pack fault detection method | |
| CN103176137B (en) | Battery pack health condition evaluation method based on battery SOC (state of charge) inhomogeneity | |
| Haiying et al. | Study on correlation with SOH and EIS model of Li-ion battery | |
| CN109239602A (en) | A kind of evaluation method of the ohmic internal resistance of power battery | |
| CN109061521A (en) | Battery group state-of-charge calculation method and system | |
| CN106461728A (en) | Equivalent circuit model of battery | |
| KR20140084823A (en) | Method for checking deterioration of battery | |
| Wang et al. | Lithium-ion battery security guaranteeing method study based on the state of charge estimation | |
| CN109116260A (en) | A kind of reminding method of lithium primary cell low battery | |
| CN113296010B (en) | Battery health state online evaluation method based on differential voltage analysis | |
| CN113466728B (en) | Method and system for online identification of two-stage battery model parameters | |
| CN109856550B (en) | Method and system for estimating SOC of flow battery | |
| CN106004481A (en) | SOH value estimation method for battery pack of hybrid electric vehicle | |
| CN102393509A (en) | Nondestructive evaluation method for performance of lithium ion battery |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |