CN104793145B - A kind of battery active volume method for quick - Google Patents
A kind of battery active volume method for quick Download PDFInfo
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- CN104793145B CN104793145B CN201510148035.4A CN201510148035A CN104793145B CN 104793145 B CN104793145 B CN 104793145B CN 201510148035 A CN201510148035 A CN 201510148035A CN 104793145 B CN104793145 B CN 104793145B
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Abstract
The invention discloses a kind of battery maximum available method for quick, first, filled entirely in labs and put cycle life research entirely, analysis is modeled to 100% depth of discharge discharge voltage profile, find the electric discharge orbit parameter K for characterizing discharge voltage profile Changing Pattern；Then, the voltage data that electric discharge initial stage a bit of rule changes section is chosen, is fitted by data and is obtained curve model parameter A, then set up the transformational relation of electric discharge orbit parameter K and curve model parameter A；Finally, to the battery of any unknown state, you can the voltage data for changing section by initial stage rule of discharging is fitted and obtains curve model parameter, is converted to electric discharge orbit parameter based on the transformational relation, and then estimate the current maximum available of battery.The problem larger this method avoid the whole data of electric discharge are fitted with the data volume brought, while avoiding because of the inaccurate problem that the fitting of blindness random data brings.
Description
Technical field
The present invention relates to battery life detection technique field, more particularly to a kind of battery active volume method for quick.
Background technology
As the extensive use of electrically energized machine, electricity are widely used in production and living and national defence, battery is used as electricity
Can storage device, storage capacity number be reflect battery quality important evidence, be also characterize its disclosure satisfy that what is used
Key characteristic.
Battery has the characteristic of performance degradation, and after using or storing a period of time, its maximum storage capacity is that maximum can
Can be declined with capacity, until scrapping.The maximum available of battery is most important for battery use, and battery is " once filling
It is full, do not have once putting " etc. phenomenon happen occasionally, in application scenarios such as part military affairs, the energy, traffic, periodic detection maximum can use appearance
Amount is one of groundwork of battery maintenance maintenance, thus battery capacity Fast Detection Technique have a good application prospect and
Engineering adaptability.Current evaluation and test means mainly have following two：
Mode one：Cell voltage is tested with universal meter, if voltage is normal, then it is assumed that battery can be with normal work.But thing
Real really not so, voltage is only the state-of-charge for having reacted battery, not can determine that can it release how many electricity, sometimes institute
The voltage tested is an empty voltage.Therefore this evaluation and test mode can not truly, accurate expression actual conditions.
Mode two：The whole discharge examination of battery is carried out with battery capacity tester, the capacity of battery can be tested out, but
Test every time spends the time considerably long, and more than 10 hours, and special test equipment was expensive, and engineering adaptability is subject to very big
Limitation.
The content of the invention
In view of this, the invention provides a kind of method for quick of battery maximum available, detection can be shortened
Time.
In order to solve the above-mentioned technical problem, the present invention is realized in：
A kind of battery maximum available method for quick, comprises the following steps：
Step one, using the m blocks circulating battery with tested battery same model fill entirely it is complete put experiment, acquisition difference is followed
The full discharge voltage profile of ring number of times；
Step 2, the full discharge voltage profile to each circulation are modeled analysis, obtain every time full discharge voltage profile
Electric discharge orbit parameter K；
Step 3, the voltage data that known rules change is pressed for discharge voltage profile one section of the electric discharge initial stage of selection, pass through
Data fitting estimates every time the curve model parameter A of rule change section in full discharge voltage profile；
Transformational relation between step 4, the electric discharge orbit parameter K for setting up discharge voltage profile and curve model parameter A；
Step 5, to be tested battery, a discharge test is carried out after electricity is completely filled with, by rule change section voltage number
According to data fitting obtain linearity curve model parameter An, and the transformational relation set up using step 4 determines putting for tested battery
Electric rail parameter Kn；
Step 6, the electric discharge orbit parameter K using tested batterynEstimate the current maximum available C of tested batteryn。
Preferably, the rule change section chooses one section of linear change section at electric discharge initial stage；Then calculated curve model parameter
The data fit approach of Shi Caiyong is linear fit.
Preferably, step 2 obtains the model represented using formula (1) during electric discharge orbit parameter K：
Wherein, U is battery terminal voltage, and I is discharge current, k0、k1、k2、k3It is electric discharge to constitute electric discharge orbit parameter K, t
Time.
Preferably, the rule change section chooses electric discharge initial stage linear change section；Then step 3 and step 5 obtain curve
The model used during model parameter is formula (2)：
U (t)=a-bIt (2)
Wherein, a and b constitute curve model parameter.
Preferably, the transformational relation between the electric discharge orbit parameter K and curve model parameter A of step 4 foundation is：
k0=a
k1=cb+d
k2=f1(k1)
k3=f2(k1)
Wherein, f1() is parameter k2With k1Functional relation, f2() is parameter k3With k1Functional relation, f1() and
f2() is obtained using the full discharge voltage profile that step one is obtained by fitting；C and d is predetermined k2With b
It is linear in coefficient, using step 2 and three obtain parameter K and A fitting obtain.
Preferably, f1() and f2The model of fit that () uses for：Power law model y=pxq。
Preferably, step 6 estimates the current maximum available C of tested batterynMode be：By putting that step 5 is obtained
Electric rail parameter KnFull discharge voltage profile model formation is substituted into, the currently practical model of tested battery is obtained, using currently practical
Model is tried to achieve voltage and drops to discharge cut-off voltage U1Corresponding discharge time t1, discharge time t1It is multiplied by discharge current and is quilt
Survey the maximum available C of batteryn。
Preferably, step 6 is utilizing discharge time t1Calculate maximum available CnWhen, further add temperature influence system
Number KT, then maximum available CnComputing formula be：
Cn=I × t1×KT
Wherein, I is discharge current, KTIt is the corresponding Temperature affection factor of the Current Temperatures of determination of tabling look-up.
Preferably, in advance similar battery fill entirely and put experiment entirely, advised using the full discharge voltage profile for obtaining
The interception time started of rule change section and the corresponding relation of intercepted length and accuracy of detection；When then actually detected, according to required essence
Degree determines interception time started and the intercepted length of rule change section.
Beneficial effect：
(1) the invention provides a kind of capacity method for fast measuring based on partial discharge method, it is not necessary to whole process electric discharge, only
Need to choose a bit of discharge time, therefore, the testing time greatly shortens, and has in fields such as military affairs, the energy, traffic extensive
Application value.
(2) present invention establishes the transformational relation of electric discharge orbit parameter K and curve model parameter A, in detection, only to putting
The electric initial stage, one section of filtering change voltage data was fitted, and the orbit parameter K that discharges is then converted to after obtaining curve model parameter A,
And then the estimation of maximum available Cn is carried out based on electric discharge orbit parameter K.Do so, avoids to the whole data of electric discharge first
The larger problem of the data volume brought is fitted, while avoiding because what the fitting of blindness random data brought inaccurate asks
Topic.
(3) in present pre-ferred embodiments, choosing one section of voltage data of linear change of electric discharge initial stage carries out linear fit
Curve model parameter A is obtained, Linear varying voltage data only are carried out with linear fit can be with Reduction Computation amount.
Brief description of the drawings
Fig. 1 is the flow chart of battery maximum available method for quick of the present invention.
Fig. 2 is the schematic diagram of discharge voltage profile.
Fig. 3 is the discharge voltage profile that 100%DOD charge and discharge electric tests are carried out to a certain battery.
Fig. 4 is to intercept the k fitted during electric discharge initial stage 5min data2With k1Graph of a relation.
Fig. 5 is to intercept the k fitted during electric discharge initial stage 5min data3With k1Graph of a relation.
Specific embodiment
Develop simultaneously embodiment below in conjunction with the accompanying drawings, and the present invention will be described in detail.
In order to fast and accurately obtain battery capacity information, the method for conventional complete discharge and recharge will due to time, equipment
The factor such as seeking obviously can not meet the use requirement of naval vessels ship, and by lot of experiments, the present invention proposes a kind of to be put based on part
The capacity method for fast measuring of electrical method, thinking is as follows：
First, filled entirely in labs and put cycle life research entirely, it is bent to 100% depth of discharge (DOD) discharge voltage
Line is modeled analysis, finds the electric discharge orbit parameter K for characterizing discharge voltage profile Changing Pattern；Then, the electric discharge initial stage is chosen
One section of voltage data for pressing known rules change, is fitted by data and obtains curve model parameter A, then sets up electric discharge track ginseng
The relation of number K and curve model parameter A；Finally, to the battery of any unknown state, you can become by one section of rule of the initial stage of discharging
Change section voltage data data fitting obtain curve model parameter, using above-mentioned relation so that obtain electric discharge orbit parameter, so
Afterwards just it is estimated that the current maximum available of battery.
Above-mentioned rule change section is not necessarily since original position of discharging.The embodiment of the present invention is by test data point
Analysis, determines that there is one section of linear change section at the electric discharge initial stage, and linear fit is carried out by linear change section, and set obtains linear
Curve model parameter.The fitting of linear data can reduce amount of calculation.And shown by great number tested data, in such case
Under only need to carry out the UPS cells peculiar to vessel of fully charged state electric discharge in 1 hour and accurate can estimate its maximum that appearance can be used
Amount.
Fig. 1 is the flow chart of preferred embodiment of the present invention maximum available method for quick.As shown in figure 1, the party
Method comprises the following steps：
Step one, using the circulating battery with tested battery same model fill entirely and complete put experiment, the different circulations of acquisition
The full discharge voltage profile of number of times.
In the present embodiment, m lead-acid accumulator is chosen, depending on m is according to the discharging law of battery, in general m >=4,
4 lead-acid accumulators are chosen in example, in 25 ± 3 DEG C of room temperature, humidity<In the environment of 90%, with 0.1C electric currents to lead-acid accumulator
It is fully charged that discharge cut-off voltage 1.8V is then discharged to using 0.1C constant currents to 2.2V, record the voltage U-time of electric discharge
T curves.By repeatedly carrying out overall process discharge test to lead-acid accumulator, record discharge curve is as shown in Figure 2.Experiment shows,
With the increase of charge and discharge cycles number of times, lead-acid accumulator discharge time is gradually reduced, and active volume gradually decays, discharge voltage
Curve shape is held essentially constant.
Step 2, the full discharge voltage profile circulated according to each time are modeled analysis, obtain full discharge voltage profile
Electric discharge orbit parameter K.
In lead-acid accumulator discharge process, its discharge voltage profile has reacted initial voltage of battery, the internal resistance of cell, electrolysis
Liquid (H2SO4) concentration and active material total amount etc. situation of change.Research finds that lead-acid accumulator discharge voltage profile may be used to
Lower empirical model is described：
Wherein, U is battery terminal voltage, and I is discharge current (20A, standard 0.1C discharge), k0、k1、k2、k3Constitute and put entirely
Electric discharge the orbit parameter K, t of piezoelectric voltage curve are discharge time.
The physical significance of each model parameter is as shown in table 1：
| Parameter | Physical significance |
| Battery discharge initial voltage | |
| Internal resistance of cell size | |
| Ideally battery maximum available |
Table 1
For each full discharge voltage profile, by using model (1) carry out data be fitted can obtain one group it is complete
The electric discharge orbit parameter K of discharge voltage, so as to obtain Changing Patterns of the electric discharge orbit parameter K with cycle-index.
Preferably, in practice, it is not that each group of full discharge voltage profile of collection is applicable, it is necessary to reject improper prominent
The full discharge voltage profile for becoming, its electric discharge orbit parameter K is obtained for each full discharge voltage profile for leaving.Such as Fig. 3
Shown situation, Fig. 3 is that 100%DOD (depth of discharge) charge and discharge electric test is carried out to a certain battery, and total cycle-index is 103
It is secondary；Wherein, the 1st cyclic test, discharge voltage occurs in that obvious steep drop rises process again, and the phenomenon in experiment afterwards
It is unobvious；The 10-16 times cyclic test, has carried out the test of internal resistance after battery is fully charged, causes with cell tester
Voltage decline by a relatively large margin when being tested；Because manual operation is improper, in the 17th cyclic test, battery is being clipped in just
Holding wire on negative pole comes off, and the improper bust of discharge voltage occurs, and then influence the 18th cyclic test.Therefore, setting up
During discharge voltage model, the 1st and 10-18 loop-around data are eliminated, estimate to put using the remaining 93 times discharge voltages of circulation
Electric rail parameter.
Step 3, for discharge voltage profile choose one section of Linear varying voltage data of electric discharge initial stage, by linear fit
Estimate the linearity curve model parameter A of each full discharge voltage profile electric discharge initial stage linear change section.
Battery discharge can be seen that by Fig. 2, Fig. 3 and be broadly divided into three phases, one is at electric discharge initial stage, cell voltage
Steep drop, two is that, in electric discharge mid-term, cell voltage steadily declines (approximately linear), and three is in electric discharge latter stage, under cell voltage is quick
Drop.Obviously, at the battery discharge initial stage, its discharge voltage is not sufficiently stable, and fluctuates larger, therefore the present invention is setting up discharge voltage mould
During type, ignore the first stage of electric discharge, i.e., need to remove the process (more than 5min) that discharge voltage drops suddenly, and only utilize and latter section
Time (since electric discharge plus this period can be 1 hour) discharge voltage data the discharge voltage profile of subsequent process is entered
Row prediction.The discharge voltage data for utilizing is more, and it is more accurate to predict, but the time is oversize, and will cause cannot in Practical Project
Use.Therefore steadily decline (approximately linear) merely with electric discharge mid-term, cell voltage one section of the invention, different cycle-indexes,
The podium level of linearity range is different, therefore, can still be identified on any bar discharge curve by linearity range.And this
The mode of kind can greatly reduce the data acquisition time to being tested battery.
Specifically, the model of formula (2) is used when this step 3 obtains linearity curve model parameter A：
U (t)=a-bIt (2)
Wherein, it is discharge current that a, b constitute linearity curve model parameter A, I, and t is discharge time.Circulated for n-th
Discharge voltage profile, can by fitting obtain parameter (an bn)。
Relation between step 4, the electric discharge orbit parameter K for setting up discharge voltage profile and linearity curve model parameter A.
It is by the electric discharge orbit parameter K and linearity curve mould of same full discharge voltage profile that simplest relation sets up mode
Shape parameter A correspondences are preserved.Obtained by interpolation calculation when in use.It is done so that more memory spaces are needed, while smart
Degree also cannot be guaranteed.In order to avoid this problem, the present invention finds the relational expression of K and A by the way of modeling.Specifically
For,
First, by counting discovery a and k0Approximately equal, while k1It is in obvious linear relationship with b, hence sets up theirs
Relation is：k0=a；k1=cb+d, wherein, c and d is k2With b it is linear in coefficient, can be by fit procedure two
The parameter K and A obtained with three are obtained.In order to improve the fitting precision of linear relationship, situation can be divided in actual mechanical process
Treatment, i.e. the interception time started of the different voltage data of subregion and intercepted length, data acquisition is carried out under each combination,
So one group voltage intercepts time started one group c and d corresponding with intercepted length, is started according to actual voltage interception in practice
Time and intercepted length are chosen corresponding c and d and are used.
Secondly, for k2With k3, by analysis, increase with cycle-index, k0With k1Gradually increase, k2With k3Gradually subtract
Small, this is consistent with the actual change situation of battery, i.e., as discharge and recharge number of times increases, the internal resistance of cell increases (k1), appearance can be used
Amount declines (k3).Further, parameter k can be respectively established2、k3With k1Relational model, wherein, Fig. 4, Fig. 5 sets forth
One group of k fitted using real data2With k1、k3With k1Graph of a relation.Understood according to diagram, it is possible to use power law model y=
pxqRespectively to k2With k1、k3With k1Relation be modeled.
In order to improve precision, and in order to analyze influence of the different discharge times to precision of prediction, present invention interception electric discharge
The data of initial stage different time carry out after model parameter estimation Comparative Study again.Analysis result is as follows, and wherein table 2 shows
The selection of the acquisition time in the interception time started of data segment, and interception duration, when in this example due to gathering total
Between be 1 hour, therefore corresponding collection duration of different interception time started is different.
Table 2
The parameters relationship that the data of different interception times are obtained after fitting is as follows：
In discharge voltage model during interception electric discharge initial stage 5min data,
In discharge voltage model during interception electric discharge initial stage 10min data,
In discharge voltage model during interception electric discharge initial stage 15min data,
In discharge voltage model during interception electric discharge initial stage 20min data,
In discharge voltage model during interception electric discharge initial stage 25min data,
In discharge voltage model during interception electric discharge initial stage 30min data,
By contrasting matched curve from real data as can be seen that the corresponding fitting precision of the data of different time is different
, therefore can choose which relational model finally used according to required precision.
By final selected k2With k1Functional relation be designated as f1(), k3With k1Functional relation be designated as f2(), then originally
Step set up full discharge voltage profile electric discharge orbit parameter K and linearity curve model parameter A between relation be：
k0=a (3)
k1=cb+d (4)
k2=f1(k1) (5)
k3=f2(k1) (6)
In actual use during formula, parameter a and b carry out actual acquisition and are fitted the reality of acquisition using to tested battery
Fitting parameter, c and d use predetermined value mentioned above.
In practice, it would however also be possible to employ other models need to redefine K and A's by data fitting instead of formula (1)
Relation, but method is all similar.
Step 5, to be tested battery, a discharge test is carried out, by one section of voltage change voltage data of the initial stage of discharging
Linear fit obtains linearity curve model parameter An, and the relation set up using step 4 determines the full electric discharge of tested battery
The electric discharge orbit parameter K of voltage curven。
This step includes following sub-step：
S501：The lead-acid accumulator under any unknown state is given, standard charging is carried out to it, fully charged laggard rower is accurate
0.1C electric discharge.Electric discharge X minutes (5min) Y minutes voltage data of (55min) afterwards is intercepted, under the voltage data that will be gathered is substituted into
Formula (7) carries out linear fit, obtains linearity curve model parameter AnIn a and b estimate, be designated as
S502：By estimateRelation (3) and (4) that step 4 is set up are substituted into, in the orbit parameter K of obtaining discharging
K0、k1。
S503：S502 is obtained k again1Substitute into and k2And k1With k3Relation, calculate the k in electric discharge orbit parameter K2、
k3。
The electric discharge orbit parameter K of step 6, the tested battery obtained using step 5nEstimate tested battery currently maximum
Active volume Cn。
In this step, the electric discharge orbit parameter k that step 5 is calculated0、k1、k2、k3Substitute into formula (1) and try to achieve voltage U
Drop to discharge cut-off voltage U1(this example U1=1.8V) corresponding discharge time t1；Discharge time t1It is multiplied by discharge current I
Obtain present battery maximum available (25 DEG C of room temperatures).
Preferably, it is contemplated that the operating ambient temperature of battery is larger to the capacity impact of battery, in different temperature ranges
Interior, influence coefficient of the temperature to capacity is different, and in low temperature, the capacity of battery is improved comparatively fast, with temperature with the rising of temperature
The rising of degree, it is gradually slack-off that battery capacity varies with temperature rate.Battery under experiment lead-acid accumulator different temperatures is provided in table 3
The ratio K of actual capacity and rated capacityT(rated capacity refers to：25 DEG C of temperature, under conditions of battery discharge blanking voltage 1.8V
10 hours discharge capacities of battery).
| Battery temperature T (DEG C) | -40 | -30 | -20 | -10 | 0 | 10 | 15 | 20 | 25 | 30 | 35 | 40 | 50 |
| 15 | 30 | 45 | 60 | 80 | 87 | 93 | 97 | 100 | 104 | 106 | 107 | 107 |
Table 3
So, maximum available C is being calculatednWhen, it is necessary to further add Temperature affection factor KT, essence is calculated to improve
Spend, then maximum available CnComputing formula be modified to：
Cn=I × t1×KT (8)
So far, this flow terminates.
Interception time and intercepted length invention further contemplates linear discharge section is to the shadow of Parameter Estimation Precision
Ring.
According to previously described maximum available prediction steps, 5min before analysis interception, 10min, 15min, 20min,
When 25min, 30min discharge voltage, the maximum available of certain type lead-acid accumulator predicts the outcome.
After table 4 is for interception 5min, the analysis of maximum available precision of prediction：
Table 4
After table 5 is for interception 10min, the analysis of maximum available precision of prediction：
Table 5
After the interception of table 6 15min, the analysis of maximum available precision of prediction：
Table 6
After the interception of table 7 20min, the analysis of maximum available precision of prediction：
Table 7
After the interception of table 8 25min, the analysis of maximum available precision of prediction：
Table 8
After the interception of table 9 30min, the analysis of maximum available precision of prediction：
| Acquisition time (min) | 5 | 10 | 15 | 20 | 25 | 30 |
| Average relative error | 26.6% | 15.6% | 11.4% | 10.2% | 9.4% | 8.8% |
Table 9
According under different interception times, predicting the outcome for battery maximum available is further compared analysis result
Compared with.Table 10 is collected predicated error above.
Table 10
As can be seen from Table 10, intercepted when after the 5min, intercept the data of 55min, precision of prediction can reach
14.0%；And after the 20min intercept, intercept the data of 40min, precision of prediction can reach 9.7%.
The above, user can carry out filling entirely to similar battery in advance puts experiment entirely, using the full electric discharge electricity for obtaining
Line of buckling obtains interception time started and intercepted length and the corresponding relation of accuracy of detection of rule change section, can use form
Form is recorded, for example table 10.When actually detected, the precision that user can be according to needed for itself, selection rule of tabling look-up
Change section interception time started and intercepted length.
In sum, presently preferred embodiments of the present invention is these are only, is not intended to limit the scope of the present invention.
All any modification, equivalent substitution and improvements within the spirit and principles in the present invention, made etc., should be included in of the invention
Within protection domain.
Claims (9)
1. a kind of battery maximum available method for quick, it is characterised in that comprise the following steps：
Step one, using the m blocks circulating battery with tested battery same model fill entirely it is complete put experiment, obtain different circulations secondary
Several full discharge voltage profiles；
Step 2, the full discharge voltage profile to each circulation are modeled analysis, obtain every time putting for full discharge voltage profile
Electric rail parameter K；
Step 3, the voltage data that known rules change is pressed for discharge voltage profile one section of the electric discharge initial stage of selection, by data
Fitting estimates every time the curve model parameter A of rule change section in full discharge voltage profile；
Transformational relation between step 4, the electric discharge orbit parameter K for setting up discharge voltage profile and curve model parameter A；
Step 5, to being tested battery, carry out a discharge test after electricity is completely filled with, section voltage data is changed by rule
Data fitting obtains linearity curve model parameter An, and the transformational relation set up using step 4 determines the electric discharge rail of tested battery
Road parameter Kn；
Step 6, the electric discharge orbit parameter K using tested batterynEstimate the current maximum available C of tested batteryn。
2. the method for claim 1, it is characterised in that the rule change section is chosen a section of the electric discharge initial stage and linear become
Change section；The data fit approach for then being used during calculated curve model parameter is linear fit.
3. the method for claim 1, it is characterised in that using formula (1) expression when step 2 obtains electric discharge orbit parameter K
Model：
Wherein, U is battery terminal voltage, and I is discharge current, k0、k1、k2、k3It is discharge time to constitute electric discharge orbit parameter K, t.
4. method as claimed in claim 3, it is characterised in that the rule change section chooses electric discharge initial stage linear change section；
It is formula (2) that then step 3 and step 5 obtain the model used during curve model parameter：
U (t)=a-bIt (2)
Wherein, a and b constitute curve model parameter.
5. method as claimed in claim 4, it is characterised in that electric discharge orbit parameter K and curve model ginseng that step 4 is set up
Number A between transformational relation be：
k0=a
k1=cb+d
k2=f1(k1)
k3=f2(k1)
Wherein, f1() is parameter k2With k1Functional relation, f2() is parameter k3With k1Functional relation, f1() and f2
() is obtained using the full discharge voltage profile that step one is obtained by fitting；C and d is predetermined k1It is linear with b institutes
Coefficient in relation, parameter K and the A fitting obtained using step 2 and three is obtained.
6. method as claimed in claim 5, it is characterised in that f1() and f2The model of fit that () uses for：Power law model
Y=pxq。
7. the method for claim 1, it is characterised in that step 6 estimates the current maximum available C of tested batteryn's
Mode is：The electric discharge orbit parameter K that step 5 is obtainednFull discharge voltage profile model formation is substituted into, tested battery is obtained and is worked as
Preceding realistic model, tries to achieve voltage and drops to discharge cut-off voltage U using currently practical model1Corresponding discharge time t1, during the electric discharge
Between t1It is multiplied by the maximum available C that discharge current is tested batteryn。
8. method as claimed in claim 7, it is characterised in that step 6 is utilizing discharge time t1Calculate maximum available
CnWhen, further add Temperature affection factor KT, then maximum available CnComputing formula be：
Cn=I × t1×KT
Wherein, I is discharge current, KTIt is the corresponding Temperature affection factor of the Current Temperatures of determination of tabling look-up.
9. the method for claim 1, it is characterised in that carry out filling entirely in advance to similar battery and put experiment entirely, using obtaining
The full discharge voltage profile for obtaining obtains the interception time started of rule change section and the corresponding relation of intercepted length and accuracy of detection；
When then actually detected, interception time started and the intercepted length of rule change section are determined according to required precision.
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| CN109596983B (en) * | 2018-11-19 | 2020-07-14 | 清华大学 | Method for predicting capacity water jump in battery aging process |
| CN111289898B (en) * | 2018-12-06 | 2022-02-11 | 中国科学院大连化学物理研究所 | Estimation method for residual electric quantity of metal/air battery |
| CN110794314B (en) * | 2019-11-14 | 2022-03-08 | 东莞市振华新能源科技有限公司 | Method for improving lithium ion battery capacity test accuracy |
| CN112285583B (en) * | 2020-09-30 | 2022-10-04 | 蜂巢能源科技有限公司 | Method, device and system for testing maximum capacity of battery cell |
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| CN1541337A (en) * | 2002-05-14 | 2004-10-27 | ������������ʽ���� | Battery capacity calculating method |
| CN101430366A (en) * | 2008-12-12 | 2009-05-13 | 苏州金百合电子科技有限公司 | Battery charge state detection method |
| CN102830361A (en) * | 2012-08-24 | 2012-12-19 | 海能达通信股份有限公司 | Battery capacity quick detection method and battery capacity quick detection system |
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