CN109596986A - Power battery pack internal resistance estimation on line method and battery management system - Google Patents
Power battery pack internal resistance estimation on line method and battery management system Download PDFInfo
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Abstract
The present invention relates to automobile power cell technical field, a kind of power battery pack internal resistance estimation on line method and battery management system are provided, solve the problems, such as that estimation power battery pack internal resistance error is larger in the prior art.Power battery pack internal resistance estimation on line method of the present invention includes: to obtain the internal resistance and temperature, voltage and state-of-charge of each battery core in power battery pack, and judge whether the internal resistance of all battery cores currently obtained meets estimation condition；If meeting the estimation condition, judge whether temperature, voltage and the state-of-charge of all battery cores currently obtained meet default global distribution；If meeting the default global distribution, test of normality and homogeneity test of variance are carried out to the internal resistance of acquired each battery core；When the internal resistance of acquired each battery core passes through test of normality and homogeneity test of variance, the internal resistance of the power battery pack is determined according to the internal resistance of each battery core.The embodiment of the present invention is suitable for the process of estimation on line power battery pack internal resistance.
Description
Technical field
The present invention relates to automobile power cell technical field, in particular to a kind of power battery pack internal resistance estimation on line method
And battery management system.
Background technique
The health degree (State of health, SOH) of power battery, refers under certain conditions, battery can release
Capacity and battery nominal capacity ratio, be reflect battery overall performance and current discharge ability, be mainly used to table
State the health status of power battery.The health status for understanding each battery core in power battery pack in real time, can extend making for battery core
With the service life, guarantee the whole charge and discharge performance of power battery pack.
The important evidence index of battery core health status can be demarcated with the internal resistance of one of battery performance parameter.Various types
Battery core all there is internal resistance, therefore a part of electric energy can be consumed by internal resistance in battery core work, and in the electric energy and battery core being lost
It hinders directly proportional.And for lithium ion battery, after multiple charge/discharge operation, inside due to chemical change, internal resistance can gradually
Increase, this has resulted in the reduction of battery core utilisable energy.Under the conditions of most of, internal resistance is small in the battery core of identical parameters discharges instead
It is very capable.Therefore, estimate that the internal resistance of power battery pack becomes the health status estimation of power battery of electric vehicle management system
One of key technology.
Estimating power battery pack internal resistance in the prior art, there are maximum method and the methods of average.Wherein, maximum method is to pass through
The internal resistance of all battery cores in comparative cell packet obtains estimation internal resistance of the maximum estimation internal resistance as battery pack.But exist
Since certain special error dots influence battery packs are as a result, cause wrong estimation.As shown in table 1, the same battery pack is different
The internal resistance of the internal resistance estimated under battery core, preceding 7 battery cores is 1, however the internal resistance of the 8th battery core is 5, if using maximum method
If being estimated, the internal resistance of battery pack can use internal resistance of the maximum internal resistance value as battery pack, i.e. the internal resistance of battery pack is
5, the aging of battery pack will be over-evaluated.
Table 1
| Battery core number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Internal resistance | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 5 |
Other mean value method is by calculating the average internal resistance of all battery cores in battery pack as battery pack internal resistance
Method, such method equally will appear large error in some cases.As shown in table 2, when the internal resistance of the 8th battery core be 1.1,
The internal resistance of 7th battery core is 0.9, and when averaging, the internal resistance of the 7th battery core is averaged towards 1, exists and underestimates battery pack aging
The case where.
Table 2
| Battery core number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Internal resistance | 1 | 1 | 1 | 1 | 1 | 1 | 0.9 | 1.1 |
Summary of the invention
In view of this, the present invention is directed to propose a kind of power battery pack internal resistance estimation on line method and battery management system,
At least to be partially solved above-mentioned technical problem.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
A kind of power battery pack internal resistance estimation on line method, the power battery pack internal resistance estimation on line method includes: to obtain
The internal resistance of each battery core and achievement data in power battery pack are taken, and judges whether the internal resistance of all battery cores currently obtained meets
Estimation condition, the achievement data include temperature, voltage and state-of-charge；If the internal resistance of all battery cores currently obtained meets institute
Estimation condition is stated, judges whether the achievement data of all battery cores currently obtained meets default global distribution；If currently obtaining
The achievement data of all battery cores meets the default global distribution, carries out test of normality to the internal resistance of acquired each battery core
And homogeneity test of variance；When the internal resistance of acquired each battery core passes through test of normality and homogeneity test of variance, according to
The internal resistance of each battery core determines the internal resistance of the power battery pack.
Further, the estimation condition is the internal resistance corresponding by the internal resistance of each battery core in the power battery pack
Initial value is compared, and determines that the changed number of internal resistance of all battery cores is more than predetermined number.
Further, described after whether the internal resistance for judging all battery cores currently obtained meets estimation condition
Power battery pack internal resistance estimation on line method further include: if the internal resistance of all battery cores currently obtained is unsatisfactory for the estimation item
Part continues to obtain the internal resistance of each battery core and achievement data in the power battery pack.
Further, whether the achievement data for judging all battery cores currently obtained meets default global distribution packet
It includes: establishing the three dimensional list of the achievement data according to default value range, wherein the three dimensional list is divided into default
Several same areas, and the table number for including in each region is identical；Determine that the achievement data of all battery cores currently obtained exists
The number of each area distribution in the three dimensional list；According to the number of each area distribution, by probability mass function,
Determine the corresponding quality probability value in each region；The corresponding quality probability value of all areas is compared with predetermined probabilities value；
When the corresponding quality probability value of all areas is all larger than or is equal to the predetermined probabilities value, all battery cores currently obtained are determined
Achievement data meet the default global distribution；When there are at least one quality is general in the corresponding quality probability value of all areas
When rate value is less than the predetermined probabilities value, determine that the achievement data of all battery cores currently obtained is unsatisfactory for described default global point
Cloth.
Further, whether meet default global distribution in the achievement data for judging all battery cores currently obtained
Afterwards, the power battery pack internal resistance estimation on line method further include: if the achievement data of all battery cores currently obtained is unsatisfactory for
The default global distribution, continues to obtain the internal resistance of each battery core and achievement data in the power battery pack.
Further, the internal resistance to acquired each battery core carries out test of normality and homogeneity test of variance packet
It includes: the internal resistance of each battery core and described pre- meeting will be met in all battery cores of the default global distribution currently obtained
If the internal resistance of each battery core obtained before overall situation distribution, is determined as the data set of the internal resistance of each battery core；By each battery core
The data set of internal resistance carries out test of normality；It, will be each after the data set of the internal resistance of each battery core passes through test of normality
The data set of the internal resistance of battery core carries out homogeneity test of variance.
Further, the internal resistance described to acquired each battery core carry out test of normality and homogeneity test of variance it
Afterwards, the power battery pack internal resistance estimation on line method further include: to the data of the internal resistance for the battery core for not passing through test of normality
Collection carries out normal transformations；Correction to variances is carried out to the data set of the internal resistance for the battery core for not passing through homogeneity test of variance.
Further, the internal resistance according to each battery core determines that the internal resistance of the power battery pack includes: basisObtain the internal resistance valuation of i-th of battery coreWherein, yjFor jth in the data set of the internal resistance of i-th of battery core
A internal resistance value, k are the total number of internal resistance value in the data set of the internal resistance of i-th of battery core, fjFor in i-th of battery core
The corresponding weight of j-th of internal resistance value in the data set of resistance, and in the data set of the internal resistance of i-th of battery core with j-th
The ratio of internal resistance value identical number and k；According toObtain the internal resistance X of the power battery pack, wherein n is institute
The total number of battery core in power battery pack is stated,For the internal resistance valuation of i-th of battery core in the power battery pack, qiIt is described i-th
The corresponding weight of internal resistance valuation of a battery core, and in the power battery pack with the internal resistance valuation phase of i-th of battery core
The ratio of same number and n.
Further, described dynamic after the internal resistance according to each battery core determines the internal resistance of the power battery pack
Power battery pack internal resistance estimation on line method further include: the internal resistance valuation of each battery core is determined as its corresponding internal resistance initial value.
Compared with the existing technology, power battery pack internal resistance estimation on line method of the present invention has the advantage that
(1) power battery pack internal resistance estimation on line method of the present invention is realized to the online of power battery pack internal resistance
Estimation, when obtaining battery core internal resistance and the achievement data in battery pack, when the internal resistance of all battery cores meets estimation condition Shi Caijin
Whether row index data meet the judgement of the default global distribution, just carry out when achievement data meets the default global distribution
Otherwise the estimation of battery pack internal resistance continues the internal resistance and the achievement data that obtain battery core.Have to the condition of the internal resistance of estimation battery pack
Certain limitation is avoided and is estimated once the internal resistance for getting battery core, saves computing resource and power consumption.
(2) power battery pack internal resistance estimation on line method of the present invention is realized in acquired each battery core
Resistance carries out test of normality and homogeneity test of variance, only when the internal resistance of acquired each battery core pass through test of normality and
When homogeneity test of variance, the internal resistance of the power battery pack can be just determined according to the internal resistance of each battery core, improves power battery
The internal resistance estimation precision of packet, data reliability increase.
Another object of the present invention is to propose a kind of battery management system, the battery management system is for executing as above
The power battery pack internal resistance estimation on line method.
The battery management system is had compared with the existing technology with above-mentioned power battery pack internal resistance estimation on line method
Advantage it is identical, details are not described herein.
Other features and advantages of the present invention will the following detailed description will be given in the detailed implementation section.
Detailed description of the invention
The attached drawing for constituting a part of the invention is used to provide further understanding of the present invention, schematic reality of the invention
It applies mode and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is a kind of flow diagram of power battery pack internal resistance estimation on line method provided in an embodiment of the present invention；
Fig. 2 is three dimensional list diagram provided in an embodiment of the present invention；
Fig. 3 is the diagram provided in an embodiment of the present invention that region division is carried out to three dimensional list；
Fig. 4 is that the achievement data of all battery cores provided in an embodiment of the present invention currently obtained is every in the three dimensional list
The diagram of a area distribution；
Fig. 5 is the flow diagram of another power battery pack internal resistance estimation on line method provided in an embodiment of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can
To be combined with each other.
The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiment.
Fig. 1 is a kind of flow diagram of power battery pack internal resistance estimation on line method provided in an embodiment of the present invention.Such as
Shown in Fig. 1, the power battery pack internal resistance estimation on line method includes the following steps:
Step 101, the internal resistance of each battery core and achievement data in power battery pack are obtained, and judges currently to obtain all
Whether the internal resistance of battery core meets estimation condition, and the achievement data includes temperature, voltage and state-of-charge；
Step 102, if the internal resistance of all battery cores currently obtained meets the estimation condition, judge currently to obtain all
Whether the achievement data of battery core meets default global distribution；
Step 103, if the achievement data of all battery cores currently obtained meets the default global distribution, to acquired
The internal resistance of each battery core carries out test of normality and homogeneity test of variance；
Step 104, when the internal resistance of acquired each battery core passes through test of normality and homogeneity test of variance, according to
The internal resistance of each battery core determines the internal resistance of the power battery pack.
Wherein, obtaining the internal resistance of each battery core and the frequency of achievement data in power battery pack can be real-time acquisition,
It can be fixed time intervals acquisition, can be set according to user's specific requirements, in embodiments of the present invention without limitation.
It is being got in power battery pack after the internal resistance of each battery core every time, is judging the interior of all battery cores currently obtained
Whether resistance meets the estimation condition.The estimation condition is corresponding by the internal resistance of each battery core in the power battery pack
Internal resistance initial value be compared, and determine that the changed number of internal resistance of all battery cores is more than predetermined number.For example, described dynamic
Battery core number in power battery pack is 24, after the internal resistance for getting each battery core every time, at the beginning of the internal resistance with each battery core
Value is compared, and counts the changed battery core number of internal resistance, when the changed battery core number of internal resistance is 14, and is preset
Number is 12, then the changed battery core number of internal resistance is more than predetermined number, i.e., the internal resistance of all battery cores currently obtained is full
The foot estimation condition, continues to execute step S102.And working as the changed battery core number of internal resistance is 10, is not above default
Number (12), then continue to obtain the internal resistance of each battery core and achievement data in the power battery pack, until what is currently obtained
Until the internal resistance of all battery cores meets the estimation condition, step S102 is then executed.Wherein, the setting of the predetermined number can
It is determined according to the battery core sum for including in power battery pack, for example, the predetermined number can be the 50% of battery core sum,
40% or other data, the demand of power battery pack can be set according to user.
In a step 102, if the internal resistance of all battery cores currently obtained meets the estimation condition, what judgement currently obtained
Whether the achievement data of all battery cores meets default global distribution.Wherein, first by achievement data, i.e. temperature, voltage and charged
State establishes three dimensional list according to default value range, as shown in Fig. 2, X-axis, Y-axis and Z axis respectively represent temperature, voltage and lotus
Electricity condition, wherein illustrating the corresponding relationship between three with default value range.Above-mentioned numerical value shown in Fig. 2 is merely illustrative,
It is not intended to limit the present invention embodiment, in addition, for battery core and mixed steam in the power battery pack in pure electric automobile
The battery core in power battery pack in vehicle, the value range of temperature will be different, and should infuse when default value range is arranged
Meaning this point.Then, three dimensional list described above is divided into the same area of predetermined number, and the table for including in each region
Lattice number is identical, if as shown in figure 3, each region include table number be 1, then three dimensional list can be divided into 125 areas
Domain.Or divided region can be set according to all table books, for example, then may be configured as 3 when one shares 27 tables
A region, and the table number for including in each region is 9.How no matter region is divided, as long as guaranteeing the table in each region
Lattice number is identical, and shape is consistent.Then, corresponding according to the temperature of all battery cores currently obtained, voltage and state-of-charge
Numerical value be respectively placed in corresponding table, and determine the achievement data of all battery cores currently obtained in the three dimensional list
In each area distribution number, as shown in figure 4, the achievement data of all battery cores is located at the pre- of its corresponding achievement data
If in value range.After the number for counting each area distribution, by probability mass function, the corresponding matter in each region is determined
Measure probability value.
The quality probability value of all areas can be obtained according to following probability mass functions:
fX(x)=Pr (X=x)=P ({ s ∈ S:X (s)=x })
Wherein, fXFor probability mass function, S be all battery cores achievement data in the three dimensional list all areas
Number, s are the numbers in each region, and X is to indicate region.
When the quantity of battery core altogether is 10,3 regions, the achievement data of all battery cores have been divided in the three dimensional list
Distribution situation in 3 regions is to have the achievement data of 4 battery cores in region one, there is the index number of 3 battery cores in region two
According to there is the achievement data of 3 battery cores in region three.The quality probability value that each region is obtained according to above-mentioned formula is respectively 4/
10,3/10,3/10.
According to R=1/m-d*1/m, the predetermined probabilities value R is obtained, wherein m is areal, and d is setting coefficient.?
In the embodiment of the present invention, m 3 sets 0.15 for d, then predetermined probabilities value is 0.85*1/3.
It is compared by the corresponding quality probability value in above three region with the predetermined probabilities value, is all larger than or is equal to
The predetermined probabilities value then shows that Mass Distribution is good, and it is described pre- to determine that the achievement data of all battery cores currently obtained meets
If overall situation distribution continues the internal resistance to acquired each battery core and carries out test of normality and homogeneity test of variance.If wherein
When thering is at least one quality probability value to be less than the predetermined probabilities value, show to be distributed bad, the determining all battery cores currently obtained
Achievement data be unsatisfactory for the default global distribution, then return step 101 continues to obtain each electricity in the power battery pack
The internal resistance of core and achievement data.
When the internal resistance to acquired each battery core carries out test of normality and homogeneity test of variance, to each battery core
The data set of internal resistance carries out test of normality and scedasticity is examined.The data set of the internal resistance of each battery core is described pre- to meet
If the internal resistance of each battery core and before meeting the default global distribution in all battery cores of overall situation distribution currently obtained
The internal resistance of each battery core obtained.
Wherein, test of normality is carried out to the data set of the internal resistance of each battery core.The test of normality is to utilize observation
Data judge it is overall whether the inspection of Normal Distribution, the goodness of fit that it is special that it is one kind important in statistical decision assumes
It examines.Common Methods of Normality Test have normal probability paper method, summer skin rhovyl gram method of inspection (Shapiro-Wilktest),
Kolmogorov husband method of inspection, the degree of bias-kurtosis test method etc..
Test of normality is described by taking the degree of bias-kurtosis test method as an example in embodiments of the present invention:
(1) kurtosis and the degree of bias are calculated
The degree of bias g of the data set of the internal resistance of i-th of battery core is respectively obtained according to following formulai1With kurtosis gi2:
fX(x)=Pr (X=x)=P ({ s ∈ S:X (s)=x })
Wherein, yjIndicate j-th of internal resistance value in the data set of the internal resistance of i-th of battery core,For the internal resistance of i-th battery core
The mean value of internal resistance value in data set, k are the total number of internal resistance value in the data set of the internal resistance of i-th of battery core.
(2) kurtosis and degree of bias conversion
Degree of bias g is obtained using following formulai1With kurtosis gi2Corresponding conversion:
μi1(gi1)=0
According toObtain degree of bias gi1Conversion Zi1, wherein α2=2/ (W2-1)。
According toObtain kurtosis gi2Conversion Zi2,
Wherein,
(3)K2It calculates
By degree of bias gi1Conversion Zi1With kurtosis gi2Conversion Zi2Following formula are substituted into, K is obtained2Value:
After the data set of the internal resistance of i-th of battery core is substituted into above-mentioned formula, the data set of the internal resistance of i-th of battery core is obtained
Corresponding K2Value, and corresponding default desired value is compared, for example, different k values corresponds to different default expectations
Value, as shown in table 3.
Table 3
| K value | Default desired value |
| 20 | 1.971 |
| 50 | 2.017 |
| 100 | 2.026 |
| 250 | 2.012 |
| 500 | 2.009 |
| 1000 | 2.000 |
Table 3 only shows the corresponding default desired value of a part of k value as example, when the data of the internal resistance of i-th of battery core
Collect corresponding K2The corresponding default desired value of value between difference within a preset range when, show the interior of i-th of battery core
Then the data set of the internal resistance of i-th of battery core is carried out homogeneity test of variance by test of normality by the data set of resistance.Conversely,
If the difference not in the preset range, then the data set of the internal resistance of i-th of battery core does not pass through test of normality,
The data set of the internal resistance to i-th of battery core is needed to carry out normal transformations.
The normal transformations utilized in the embodiment of the present invention are standard normal, utilize formulaTo not passing through normal state
Property examine battery core internal resistance data set in all internal resistance values carry out normal transformations, wherein yjNot pass through normality
J-th of internal resistance value in the data set of the internal resistance of the battery core of inspection,For the mean value of internal resistance value in the data set, σ is the number
According to the variance of collection.
Later, the data set to the internal resistance by the battery core of test of normality and pass through the battery core after normal transformations
Internal resistance data set carry out homogeneity test of variance.Homogeneity test of variance is the totality side that different samples are checked in mathematical statistics
Difference whether a kind of identical method.The basic principle is that first making certain it is assumed that then passing through sampling study to overall feature
Statistical inference, to this hypothesis should be rejected or receive draw an inference.Common homogeneity test of variance has: Hartley inspection
It tests, Bartlett is examined, modified Bartlett is examined.Homogeneity test of variance in the prior art be can refer to each battery core
The data set of internal resistance is tested, and since the part is not belonging to the emphasis of description of the embodiment of the present invention, is implemented in the present invention
It is repeated no more in example.Wherein, correction to variances is carried out for not passing through the data set of the internal resistance of the battery core of homogeneity test of variance.Example
Such as, using formula in the prior artVariance is modified.Since correction to variances can refer to
The prior art is realized, and the part is not the emphasis of description of the embodiment of the present invention, therefore in embodiments of the present invention no longer
It repeats.
For step S103, pass through test of normality and homogeneity test of variance in the internal resistance of acquired each battery core
When, the internal resistance of the power battery pack is determined according to the internal resistance of each battery core.
Wherein, to the internal resistance value in the data set of the internal resistance for each battery core for passing through test of normality and homogeneity test of variance
It is weighted and averaged, to obtain the corresponding internal resistance valuation of each battery core.For example, according toObtain i-th of battery core
Internal resistance valuationWherein, yjFor j-th of internal resistance value in the data set of the internal resistance of i-th of battery core, k is i-th of electricity
The total number of internal resistance value, f in the data set of the internal resistance of corejFor j-th of internal resistance value in the data set of the internal resistance of i-th of battery core
Corresponding weight, and in the data set of the internal resistance of i-th of battery core and the ratio of the identical number of j-th of internal resistance value and k
Value.For example, j-th of internal resistance value is 0.5 in the data set of the internal resistance of i-th of battery core, the total number k of internal resistance value in the data set
It is 100, wherein there is 30 (including j-th of internal resistance value) internal resistance values identical as j-th of internal resistance value, then j-th of internal resistance value is corresponding
Weight is 30/100=0.3, and the rest may be inferred for the weight of other internal resistance values.
In obtaining the power battery pack after the internal resistance valuation of each battery core, to all electricity in the power battery pack
The internal resistance valuation of core is weighted and averaged to obtain the internal resistance of the power battery pack.Such as.According toIt obtains described
The internal resistance X of power battery pack, wherein n is the total number of battery core in the power battery pack,It is in the power battery pack
The internal resistance valuation of i battery core, qiFor the corresponding weight of internal resistance valuation of i-th of battery core, and in the power battery pack
In identical with the internal resistance valuation of i-th of battery core number and n ratio.With the battery core in power battery pack shown in table 4
For corresponding internal resistance valuation, the total number of battery core is that the internal resistance valuation of the 24, the 1st battery core is corresponding in the power battery pack
Weight is 1/24, i.e., the internal resistance valuation of only the 1st battery core is that the corresponding weight of internal resistance valuation of the 0.5, the 2nd battery core is 4/
24, that is, have the internal resistance valuation of 4 (including the 2nd battery core) battery cores identical as the 2nd internal resistance valuation of battery core, other battery cores it is interior
The rest may be inferred for the weight of resistance valuation.
Table 4
In addition, in one embodiment of the present invention, when determining the power battery pack according to the internal resistance of each battery core
After internal resistance, the internal resistance valuation of each battery core is determined as its corresponding internal resistance initial value, thus obtaining power battery next time
In packet after the internal resistance of each battery core and achievement data, all battery cores for currently being obtained using updated internal resistance initial value
Whether internal resistance meets the judgement of estimation condition.
Embodiment to facilitate the understanding of the present invention, Fig. 5 are that a kind of power battery pack internal resistance provided in an embodiment of the present invention exists
The flow diagram of line evaluation method, as shown in figure 5, described method includes following steps:
Step 501, the internal resistance of each battery core and achievement data in power battery pack are obtained, the achievement data includes temperature
Degree, voltage and state-of-charge；
Step 502, whether the internal resistance for all battery cores that judgement currently obtains meets estimation condition, meets and executes step 503,
It is unsatisfactory for execution step 501 and continues to obtain the internal resistance of each battery core and achievement data in the power battery pack；
Step 503, whether the achievement data for all battery cores that judgement currently obtains meets default global distribution, meets and executes
Step 504, it is unsatisfactory for execution step 501 and continues to obtain the internal resistance of each battery core and achievement data in the power battery pack；
Step 504, by the internal resistance of each battery core in all battery cores currently obtained for meeting the default global distribution with
And the internal resistance of each battery core obtained before meeting the default global distribution, it is determined as the data of the internal resistance of each battery core
Collection；
Step 505, the data set of the internal resistance of each battery core is subjected to test of normality, step is executed by test of normality
507, step 506 is not executed by test of normality；
Step 506, normal transformations are carried out to the data set of the internal resistance for the battery core for not passing through test of normality；
Step 507, the data set of the internal resistance of each battery core is subjected to homogeneity test of variance, is executed by homogeneity test of variance
Step 509, step 508 is not executed by homogeneity test of variance；
Step 508, correction to variances is carried out to the data set of the internal resistance for the battery core for not passing through homogeneity test of variance；
Step 509, the internal resistance value in the data set of the internal resistance of each battery core is weighted and averaged, obtains each battery core
Internal resistance valuation；
Step 510, the internal resistance valuation of each battery core is determined as its corresponding internal resistance initial value, participates in step 502 next time
Execution；
Step 511, the internal resistance of battery cores all in power battery pack is weighted and averaged, obtains the power battery pack
Internal resistance.
The internal resistance computational accuracy of power battery pack is improved through the embodiment of the present invention, by comprehensive, more believable, more
Stable internal resistance, judges whether battery reaches the condition of replacement.In addition, the embodiment of the present invention is obtaining in the battery core in battery pack
When resistance, whether the achievement data that battery core is just carried out when the internal resistance of all battery cores meets estimation condition meets described default global point
The judgement of cloth carries out the estimation of battery pack internal resistance, otherwise if the achievement data distributed mass of the battery core currently obtained is fine
Continue the internal resistance of acquisition battery core.There is certain limitation to the condition of the internal resistance of estimation battery pack, avoids and once get battery core
Internal resistance just estimated, save computing resource and power consumption.And normality inspection is carried out to the internal resistance of acquired each battery core
It tests and homogeneity test of variance, only when the internal resistance of acquired each battery core passes through test of normality and homogeneity test of variance
When, the internal resistance of the power battery pack can be just determined according to the internal resistance of each battery core, improve the internal resistance estimation of power battery pack
Precision, data reliability increase.
Correspondingly, the embodiment of the present invention also provides a kind of battery management system, the battery management system is for executing
State power battery pack internal resistance estimation on line method described in embodiment.
It will be appreciated by those skilled in the art that realizing that all or part of the steps in above embodiment method is can to lead to
Program is crossed to instruct relevant hardware and complete, which is stored in a storage medium, including some instructions use so that
Single-chip microcontroller, chip or processor (processor) execute all or part of the steps of each embodiment the method for the application.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
The foregoing is merely better embodiments of the invention, are not intended to limit the invention, all of the invention
Within spirit and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of power battery pack internal resistance estimation on line method, which is characterized in that power battery pack internal resistance estimation on line side
Method includes:
The internal resistance of each battery core and achievement data in power battery pack are obtained, and judges that the internal resistance of all battery cores currently obtained is
No to meet estimation condition, the achievement data includes temperature, voltage and state-of-charge；
If the internal resistance of all battery cores currently obtained meets the estimation condition, the index number of all battery cores currently obtained is judged
According to whether meeting default global distribution；
If the achievement data of all battery cores currently obtained meets the default global distribution, in acquired each battery core
Resistance carries out test of normality and homogeneity test of variance；
When the internal resistance of acquired each battery core passes through test of normality and homogeneity test of variance, according in each battery core
Resistance determines the internal resistance of the power battery pack.
2. power battery pack internal resistance estimation on line method according to claim 1, which is characterized in that the estimation condition is
It is compared by the corresponding internal resistance initial value of the internal resistance of each battery core in the power battery pack, and determines the interior of all battery cores
Changed number is hindered more than predetermined number.
3. power battery pack internal resistance estimation on line method according to claim 1, which is characterized in that current in the judgement
After whether the internal resistance of all battery cores obtained meets estimation condition, the power battery pack internal resistance estimation on line method is also wrapped
It includes:
If the internal resistance of all battery cores currently obtained is unsatisfactory for the estimation condition, continue to obtain each in the power battery pack
The internal resistance of battery core and achievement data.
4. power battery pack internal resistance estimation on line method according to claim 1, which is characterized in that the judgement currently obtains
Whether the achievement data of all battery cores taken meets default global distribution
The three dimensional list of the achievement data is established according to default value range, wherein the three dimensional list is divided into default
The same area of number, and the table number for including in each region is identical；
Determine the number of achievement data each area distribution in the three dimensional list of all battery cores currently obtained；
The corresponding quality probability value in each region is determined by probability mass function according to the number of each area distribution；
The corresponding quality probability value of all areas is compared with predetermined probabilities value；
When the corresponding quality probability value of all areas is all larger than or is equal to the predetermined probabilities value, determine that is currently obtained owns
The achievement data of battery core meets the default global distribution；
When being less than the predetermined probabilities value there are at least one quality probability value in the corresponding quality probability value of all areas, really
The achievement data of all battery cores obtained before settled is unsatisfactory for the default global distribution.
5. power battery pack internal resistance estimation on line method according to claim 1, which is characterized in that current in the judgement
After whether the achievement data of all battery cores obtained meets default global distribution, power battery pack internal resistance estimation on line side
Method further include:
If the achievement data of all battery cores currently obtained is unsatisfactory for the default global distribution, continue to obtain the power battery
The internal resistance of each battery core and achievement data in packet.
6. power battery pack internal resistance estimation on line method according to claim 2, which is characterized in that described to acquired
The internal resistance of each battery core carries out test of normality and homogeneity test of variance includes:
The internal resistance of each battery core will be met in all battery cores of the default global distribution currently obtained and described in the satisfaction
The internal resistance of each battery core obtained before default global distribution, is determined as the data set of the internal resistance of each battery core；
The data set of the internal resistance of each battery core is subjected to test of normality；
After the data set of the internal resistance of each battery core passes through test of normality, by the data set progress side of the internal resistance of each battery core
Poor test of homogeneity.
7. power battery pack internal resistance estimation on line method according to claim 6, which is characterized in that described to acquired
Each battery core internal resistance carry out test of normality and homogeneity test of variance after, power battery pack internal resistance estimation on line side
Method further include:
Normal transformations are carried out to the data set of the internal resistance for the battery core for not passing through test of normality；
Correction to variances is carried out to the data set of the internal resistance for the battery core for not passing through homogeneity test of variance.
8. power battery pack internal resistance estimation on line method according to claim 6, which is characterized in that described according to each electricity
The internal resistance of core determines that the internal resistance of the power battery pack includes:
According toObtain the internal resistance valuation of i-th of battery coreWherein, yjFor the number of the internal resistance of i-th of battery core
According to j-th of internal resistance value is concentrated, k is the total number of internal resistance value in the data set of the internal resistance of i-th of battery core, fjIt is described i-th
The corresponding weight of j-th of internal resistance value in the data set of the internal resistance of a battery core, and in the data set of the internal resistance of i-th of battery core
In identical with j-th of internal resistance value number and k ratio；
According toObtain the internal resistance X of the power battery pack, wherein n is the total of battery core in the power battery pack
Number,For the internal resistance valuation of i-th of battery core in the power battery pack, qiInternal resistance valuation for i-th of battery core is corresponding
Weight, and be the ratio of identical with the internal resistance valuation of i-th of battery core number and n in the power battery pack.
9. power battery pack internal resistance estimation on line method according to claim 8, which is characterized in that each in the basis
After the internal resistance of battery core determines the internal resistance of the power battery pack, the power battery pack internal resistance estimation on line method further include:
The internal resistance valuation of each battery core is determined as its corresponding internal resistance initial value.
10. a kind of battery management system, which is characterized in that the battery management system is appointed for executing the claims 1-9
Power battery pack internal resistance estimation on line method described in one.
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