CN109856561A - A kind of health state evaluation method and apparatus of Vehicular dynamic battery group - Google Patents
A kind of health state evaluation method and apparatus of Vehicular dynamic battery group Download PDFInfo
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Abstract
Embodiment of the present invention discloses a kind of health state evaluation method and apparatus of Vehicular dynamic battery group.Method includes: the first sample data of acquisition predetermined battery performance parameter of Vehicular dynamic battery group in entrucking state, calculates the very poor and mean square deviation of first sample data；The second sample data of the predetermined battery performance parameter of Vehicular dynamic battery group in operating status is acquired, the very poor and mean square deviation of the second sample data is calculated；Very poor and the first health status of mean square deviation weighted calculation factor based on first sample data, very poor and the second health status of mean square deviation weighted calculation factor based on the second sample data；The ratio of the second health status factor Yu the first health status factor is calculated, and determines the health status of Vehicular dynamic battery group based on the ratio.Very poor and mean square deviation of the embodiment of the present invention by statistics in entrucking state and operating status, inconsistency and its differentiation based on inner parameter improve assessment accuracy.
Description
Technical field
Embodiment of the present invention is related to electric vehicle engineering field, in particular to a kind of healthy shape of Vehicular dynamic battery group
State appraisal procedure and device.
Background technique
Have in national newest standards " term and definition of automobile and trailer type " (GB/T 3730.1-2001) to automobile
Such as give a definition: by power drive, the vehicle of the non-track carrying with 4 or 4 or more wheels is mainly used for: carrying personnel
And (or) cargo；Draw the vehicle of carrying personnel and (or) cargo；Specific use.Energy shortage, oil crisis and environmental pollution
It grows in intensity, brings tremendous influence to people's lives, be directly related to the sustainable development of national economy and society.The world is each
State is all in active development new energy technology.
Electric car is as a kind of new-energy automobile for reducing consumption of petroleum, low pollution, low noise, it is considered to be solves energy
The important channel of source crisis and environmental degradation.During the promotion and popularization of electric vehicle, electric vehicle auto-ignition event makes
The security performance for obtaining power system of electric automobile is concerned.During the health status of Vehicular dynamic battery group detects and is estimated as to attach most importance to
Weight.
The estimation of current Vehicular dynamic battery group (especially Li-ion batteries piles) health status, concentrating on can to battery pack
To release the estimation that energy perhaps shows as capacity or internal resistance using the estimation of power.
However, due to same type, specification battery voltage, internal resistance, in terms of parameter value there are difference, vehicles
It is seriously affected on electric car in use, the previous level of single battery is often not achieved in performance indicator with power battery pack
Its application on electric car causes the assessment of current Vehicular dynamic battery group health status to be inaccurate.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of health state evaluation method of Vehicular dynamic battery group and dresses
It sets.
The technical solution of embodiment of the present invention is as follows:
A kind of health state evaluation method of Vehicular dynamic battery group, comprising:
The first sample data of the predetermined battery performance parameter of Vehicular dynamic battery group in entrucking state are acquired, calculate the
The very poor and mean square deviation of one sample data；
The second sample data of the predetermined battery performance parameter of Vehicular dynamic battery group in operating status is acquired, calculates the
The very poor and mean square deviation of two sample datas；
Very poor and the first health status of mean square deviation weighted calculation factor based on first sample data is based on the second sample number
According to very poor and the second health status of mean square deviation weighted calculation factor；
The ratio of the second health status factor Yu the first health status factor is calculated, and power train in vehicle application is determined based on the ratio
The health status of battery pack.
In one embodiment, the healthy shape of the very poor and mean square deviation weighted calculation first based on first sample data
The state factor includes:
H (s)=aA (s)+b σ (s) is calculated, wherein H (s) is the first health status factor, and A (s) is first sample data
Very poor, σ (s) is the mean square deviation of first sample data；A is the first weighting coefficient；B be the second weighting coefficient, a and b's and be 1；
Very poor and the second health status of mean square deviation weighted calculation factor based on the second sample data includes:
H (t)=aA (t)+b σ (t) is calculated, wherein H (t) is the second health status factor, and A (t) is the second sample data
Very poor, σ (t) is the mean square deviation of the second sample data.
In one embodiment, this method further include:
Predefine the first weighting coefficient a, in which:
A=(A (t)-A (s))/(A (max)-A (s)), wherein A (max) is preset, predetermined battery performance ginseng
Several is maximum allowable very poor.
In one embodiment, the predetermined battery performance parameter includes:
The voltage of single battery in Vehicular dynamic battery group；
The temperature of single battery in Vehicular dynamic battery group；
The internal resistance of single battery in Vehicular dynamic battery group；Or
The capacity of single battery in Vehicular dynamic battery group.
In one embodiment, the predetermined battery performance parameter of acquisition Vehicular dynamic battery group in operating status
The second sample data are as follows:
At predetermined intervals in operating status, the of the predetermined battery performance parameter of automobile-used power battery pack is acquired
Two sample datas；Or
In the predetermined running condition of Vehicular dynamic battery group, the predetermined battery performance parameter of automobile-used power battery pack is acquired
The second sample data.
In one embodiment, the predetermined running condition includes:
The full electric moment in charging process；
The initial power-on moment after the parking predetermined time；Or
Scheduled battery charge state point.
A kind of health state evaluation device of Vehicular dynamic battery group, comprising:
First acquisition module, for acquiring of the predetermined battery performance parameter of Vehicular dynamic battery group in entrucking state
One sample data calculates the very poor and mean square deviation of first sample data；
Second acquisition module, of the predetermined battery performance parameter for acquiring the Vehicular dynamic battery group in operating status
Two sample datas calculate the very poor and mean square deviation of the second sample data；
Computing module, for very poor and the first health status of mean square deviation weighted calculation factor based on first sample data,
Very poor and the second health status of mean square deviation weighted calculation factor based on the second sample data；
Determining module for calculating the ratio of the second health status factor Yu the first health status factor, and is based on the ratio
It is worth the health status for determining Vehicular dynamic battery group.
In one embodiment, the first acquisition module, for calculating H (s)=aA (s)+b σ (s), wherein H (s) is the
The one health status factor, A (s) are the very poor of first sample data, and σ (s) is the mean square deviation of first sample data；A adds for first
Weight coefficient；B be the second weighting coefficient, a and b's and be 1；
Second acquisition module, for calculating H (t)=aA (t)+b σ (t), wherein H (t) is the second health status factor, A
It (t) is the very poor of the second sample data, σ (t) is the mean square deviation of the second sample data.
In one embodiment, the system further include:
Weighting coefficient determining module, for predefining the first weighting coefficient a, in which:
A=(A (t)-A (s))/(A (max)-A (s)), wherein A (max) is preset, predetermined battery performance ginseng
Several is maximum allowable very poor.
In one embodiment, the predetermined battery performance parameter includes:
The voltage of single battery in Vehicular dynamic battery group；
The temperature of single battery in Vehicular dynamic battery group；
The internal resistance of single battery in Vehicular dynamic battery group；Or
The capacity of single battery in Vehicular dynamic battery group.
It can be seen from the above technical proposal that in embodiments of the present invention, method includes: acquisition vehicle in entrucking state
With the first sample data of the predetermined battery performance parameter of power battery pack, the very poor and mean square deviation of first sample data is calculated；
The second sample data of the predetermined battery performance parameter of Vehicular dynamic battery group in operating status is acquired, the second sample number is calculated
According to very poor and mean square deviation；Very poor and the first health status of mean square deviation weighted calculation factor based on first sample data, is based on
Very poor and the second health status of mean square deviation weighted calculation factor of second sample data；Calculate the second health status factor and first
The ratio of the health status factor, and determine based on the ratio health status of Vehicular dynamic battery group.It can be seen that the present invention is real
Mode is applied by very poor and mean square deviation of the statistics Vehicular dynamic battery group in entrucking state and operating status, comprehensively utilize this two
A index judges the characterization of health degree the health degree situation of power battery pack, can be based on the inside of Vehicular dynamic battery group
The health status of Vehicular dynamic battery group is assessed in parameter inconsistency and its differentiation, and thus improves assessment accuracy.
Detailed description of the invention
Only illustratively description and explain the present invention for the following drawings, not delimit the scope of the invention.
Fig. 1 is the flow chart of the health state evaluation method of the Vehicular dynamic battery group of electric car of the present invention.
Fig. 2 is the example procedure figure of the health state evaluation method of the Vehicular dynamic battery group of electric car of the present invention.
Fig. 3 is the exemplary flow chart of the health state evaluation method of the Vehicular dynamic battery group of electric car of the present invention.
Fig. 4 is the demonstrative structure figure of the health state evaluation device of the Vehicular dynamic battery group of electric car of the present invention.
Specific embodiment
In order to which the technical features, objects and effects of invention are more clearly understood, the Detailed description of the invention present invention is now compareed
Specific embodiment, identical label indicates identical part in the various figures.
It is succinct and intuitive in order to what is described, hereafter by describing several representative embodiments come to side of the invention
Case is illustrated.A large amount of details is only used for helping to understand the solution of the present invention in embodiment.However, it will be apparent that of the invention
Technical solution can be not limited to these details when realizing.In order to avoid unnecessarily having obscured the solution of the present invention, Yi Xieshi
It applies mode not described meticulously, but only gives frame.Hereinafter, " comprising " refers to " including but not limited to ", " root
According to ... " refer to " according at least to ..., but be not limited to according only to ... ".Due to the speech habits of Chinese, hereinafter without spy
When not pointing out the quantity of an ingredient, it is meant that the ingredient is either one or more, or can be regarded as at least one.
It is found by the applicant that: the estimation side of the health status of (such as the Li-ion batteries piles) of current Vehicular dynamic battery group
Formula, the estimation that energy perhaps shows as capacity or internal resistance using the estimation of power can be released to battery pack by being concentrated mainly on.
However, due to same type or the single battery of specification voltage, internal resistance, in terms of parameter value there are difference, this makes
Vehicular dynamic battery group is obtained on electric car in use, the previous level of single battery is often not achieved in performance indicator, seriously
Influence its application on electric car.
Difference between this single battery, the referred to as inconsistency of single battery.Firstly, this inconsistency is originating from electricity
The manufacturing process in pond, later in the difference of use process coupling environment and use condition, inconsistency gradually accumulates amplification, at certain
So that certain single battery performances is accelerated decaying in a little situations, and finally causes battery pack premature failure.In fact, simple system
The battery system health status that capacity, internal resistance are estimated can not embody ring worst, most weak in Vehicular dynamic battery group
Section.
It is found by the applicant that: the influence of inconsistency should be also introduced in the assessment of power battery pack health status.Moreover, application
People proposes a kind of power battery pack for laying particular emphasis on electrokinetic cell system safety from the inconsistency of single battery and differentiation
Health state evaluation method.
In embodiments of the present invention, it by data such as voltage, electric current, the temperature of the automobile-used power battery pack of acquisition, utilizes
Very poor and mean square deviation in data statistics battery system comprehensively utilizes sentencing to the characterization of battery system health degree for the two indexs
Power off cell system health degree situation, reach based on inside Vehicular dynamic battery group parameter inconsistency and its develop assessment it is automobile-used
The effect of the health status of power battery pack.
Fig. 1 is the flow chart of the health state evaluation method of the Vehicular dynamic battery group of electric car of the present invention.
As shown in Figure 1, this method comprises:
Step 101: the first sample number of acquisition predetermined battery performance parameter of Vehicular dynamic battery group in entrucking state
According to the very poor and mean square deviation of calculating first sample data.
Herein, entrucking state can be understood as the beginning of lifetime of Vehicular dynamic battery group.For example, Vehicular dynamic battery group
Just when factory；Vehicular dynamic battery group service stage at initial stage, etc..
The very poor difference for referring to maxima and minima in first sample data, also known as coverage error or range, it is mark
It is worth the maximum magnitude changed.Mean square deviation (mean square error) is the average for the distance that each data deviate average,
It is the root after sum of sguares of deviation from mean is average, is usually indicated with σ.Mean square deviation is the arithmetic square root of variance.Mean square deviation can be anti-
Reflect the dispersion degree of a data set.
Wherein, predetermined battery performance parameter can be the voltage of single battery in Vehicular dynamic battery group；Power train in vehicle application electricity
The temperature of Chi Zuzhong single battery；The internal resistance of single battery in Vehicular dynamic battery group；Or, monomer electricity in Vehicular dynamic battery group
The capacity in pond, etc..
Step 102: the second sample number of acquisition predetermined battery performance parameter of Vehicular dynamic battery group in operating status
According to the very poor and mean square deviation of the second sample data of calculating.
Herein, state when operating status was interpreted as after entrucking state using the predetermined time.
In one embodiment, acquisition in operating status the predetermined battery performance parameter of Vehicular dynamic battery group the
Two sample datas are as follows: at predetermined intervals in operating status, acquire the predetermined battery performance ginseng of automobile-used power battery pack
The second several sample datas；Or, acquiring the predetermined of automobile-used power battery pack in the predetermined running condition of Vehicular dynamic battery group
Second sample data of battery performance parameter.
Preferably, predetermined running condition includes: the full electric moment in charging process；Initial power-on after the parking predetermined time
Moment；Or scheduled battery charge state point, etc..
The above demonstration describes the representative instance of entrucking state and operating status, and those skilled in the art will be appreciated that
It arrives, this description is only exemplary, is not intended to limit the present invention the protection scope of embodiment.
Step 103: very poor and the first health status of mean square deviation weighted calculation factor based on first sample data, based on the
Very poor and the second health status of mean square deviation weighted calculation factor of two sample datas.
Step 104: calculating the ratio of the second health status factor and the first health status factor, and determined based on the ratio
The health status of Vehicular dynamic battery group.
Specifically, threshold value can be preset, when the ratio of the second health status factor and the first health status factor
When greater than the threshold value, it is believed that health status needs arouse attention, and need to carry out battery core maintenance or replacement at this time；When the second health
When state factor and the ratio of the first health status factor are less than or equal to the threshold value, it is believed that health status meets the requirements.
In one embodiment, very poor and the first health status of mean square deviation weighted calculation based on first sample data because
Son includes:
H (s)=aA (s)+b σ (s) is calculated, wherein H (s) is the first health status factor, and A (s) is first sample data
Very poor, σ (s) is the mean square deviation of first sample data；A is the first weighting coefficient；B be the second weighting coefficient, a and b's and be 1；
Very poor and the second health status of mean square deviation weighted calculation factor based on the second sample data includes: to calculate H (t)=aA (t)+b σ
(t), wherein H (t) is the second health status factor, and A (t) is the very poor of the second sample data, and σ (t) is the second sample data
Mean square deviation.
In one embodiment, this method further include:
Predefine the first weighting coefficient a, in which: a=(A (t)-A (s))/(A (max)-A (s)), wherein A (max) is
It is preset, the predetermined battery performance parameter maximum allowable very poor.
As it can be seen that in embodiments of the present invention, it can be based on A (t), A (s) and pre-set maximum allowable very poor calculating
A out, calculated a and A (t) is closely related, and the accuracy of health state evaluation can be improved.
For example, A (t) will become larger, and cause a relatively large, b phase after the battery in Vehicular dynamic battery group breaks down
To smaller, H (t) is relatively large, and H (t)/H (s) is relatively large, so that H (t)/H (s) is big when H (t)/H (s) is compared with S
In the opposite increase of the probability of S, therefore, it is determined that the opposite increase of the undesirable probability of health status in Vehicular dynamic battery group,
And thus improve the accuracy of health state evaluation.
Based on foregoing description, Fig. 2 is the health state evaluation method of the Vehicular dynamic battery group of electric car of the present invention
Example procedure figure；Fig. 3 is the exemplary flow of the health state evaluation method of the Vehicular dynamic battery group of electric car of the present invention
Cheng Tu.
In figure 2 and figure 3, it is assumed that the single battery number of the Vehicular dynamic battery group is imax.
Firstly, in the beginning of lifetime of power battery pack, obtain the predefined parameter value Pi of whole single batteries, wherein i ∈ [1,
imax].Wherein the predefined parameter can be what directly measurement obtained, be also possible to calculate acquisition based on other parameters.Such as:
The predefined parameter can be the internal resistance of the voltage of single battery, the temperature of single battery, single battery, the capacity etc. of single battery
Deng.
Then, very poor A (s) and the meansquaredeviationσ (s) for calculating the predefined parameter value Pi of whole single batteries, using as initial
Reference standard, and calculate the reference value H (s) of the battery system health status factor, wherein H (s)=aA (s)+b σ (s).
Moreover, obtaining ginseng of whole single batteries in moment t again as Vehicular dynamic battery group runs to moment t
Numerical value Pi (t).Acquisition opportunity can be obtained depending on the processing capacity of Vehicular dynamic battery group with specified time interval, can also be chosen
The specified conditions of Vehicular dynamic battery group operation, such as full electric moment in charging process or parking certain time (such as
30min/60min) later initial power-on moment or specific SOC point, etc..
Then, the very poor A (t) of the parameter value Pi (t) obtained again is calculated, wherein A (t)=Pmax (t)-Pmin (t),
Pmax (t) and Pmin (t) is the maximum value and minimum value of parameter value Pi (t) respectively.Moreover, also calculating parameter value Pi (t)
Meansquaredeviationσ (t)；Wherein Pi (t) indicates the i numerical value of t moment parameter the,Indicate the mean value of whole imax numerical value in t moment.
It is then possible to calculate Vehicular dynamic battery group in the inconsistency health status H (t) of t moment.H (t)=aA (t)+
B σ (t), if H (t)/H (s) > S, then it is assumed that battery system is in health status.Wherein, H (s) is that cell system lifetime is initial
The inconsistency health status of state；A, b are weight coefficient, and S is preset, inconsistency secure threshold.A, b and S take
Value can be set according to system performance and demand.S value, can also be with selection parameter characteristic except having outside the Pass with system performance and demand
Difference；The very poor minimax difference for embodying data set；It is abnormal to lay particular stress on a point being suitble in representation parameter numerical value；Standard
The dispersion degree of poor response data collection；Stress the whole dispersibility or inconsistency of internal system.
Preferably, embodiment of the present invention also provides a kind of setting method of a value.A=(A (t)-A (s))/(A (max)-A
(s)), wherein A (max) is that the parameter is maximum allowable very poor in system, and the parameter is initially very poor in A (s) system.A >=0, b >=
0, a+b=1；S is greater than 1, and the upper limit is up to tens of or even hundreds times.
In the following, being based on above-mentioned disclosure, embodiment of the present invention is elaborated with specific example.
In lower example, predefined parameter is set as monomer battery voltage.
Firstly, obtaining all monomer voltage Ei in the beginning of lifetime of Vehicular dynamic battery group, wherein i ∈ [1, imax],
Imax is the interior battery cell quantity of Vehicular dynamic battery group, imax=100.Then, the very poor A of all monomer voltage Ei is calculated
(s) and meansquaredeviationσ (s), using as initial reference standard.
It is specific: to calculate the very poor A (s) of Ei value, wherein A (s)=Emax (s)-Emin (s)；Emax (s) and Emin (s)
It is the maximum value and minimum value in Ei respectively.It is for statistical analysis to the Ei value of acquisition, calculate its meansquaredeviationσ (s)；Ei (s) indicates the voltage of i-th of single battery；Indicate imax electricity
The average voltage in pond.
Then, with the operation of Vehicular dynamic battery group, all single batteries in Vehicular dynamic battery group are obtained again
Monomer voltage Ei (t).Acquisition opportunity t is the full electric moment in charging process.Also, calculate the very poor A (t) of Ei (t) value, A (t)
=Emax (t)-Emin (t), Emax (t) and Emin (t) are the maximum value of monomer voltage in t moment Vehicular dynamic battery group respectively
And minimum value.It is for statistical analysis to Ei (t) value of acquisition, calculate its meansquaredeviationσ (t)；Ei (t) indicates the voltage of i-th of single battery of t moment,Indicate t moment
The average voltage of imax single battery in electrokinetic cell system.
Then, battery system inconsistency health status is calculated.H (s)=aA (s)+b σ (s)；H (t)=aA (t)+b σ
(t), if H (t)/H (s) > S, then it is assumed that battery system is in unhealthy status.Wherein, H (s) is that cell system lifetime is initial
The inconsistency health status of state, a, b are weight coefficient, a+b=1；S is inconsistency secure threshold.A, b, S value according to
System performance and demand setting.Preferably, the first weighting coefficient a is predefined, in which: a=(A (t)-A (s))/(A (max)-A
(s)), wherein A (max) is preset, the predetermined battery performance parameter maximum allowable very poor.
By taking the health status that certain Vehicular dynamic battery group is estimated at different SOH by monomer voltage inconsistency as an example into
Row explanation.
It include altogether 100 single batteries (battery core) in Vehicular dynamic battery group, voltage source is in system charging process
The monomer voltage at full electricity moment.SOH is can to release the result that calculation of capacity obtains with system in following table.Cell system lifetime is initial
(SOH=1) and the voltage data of the moment in service life 100 of cell system lifetime (SOH=0.87) two single battery core and variance system
Meter result see the table below shown in 1.
Table 1 is monomer voltage and statistical result table in battery system under different service life states.
Table 1
According to the data in table 1, the maximum allowable pressure difference for drafting voltage in system is 0.3V, and initial voltage is very poor to be
0.015V, then initial time (SOH=1), a=0, b=1, when SOH=0.87, a=(A (t)-A (s))/(A (max)-A (s))
=(0.105-0.015)/(0.3-0.015)=0.316.Therefore, b=1-0.316=0.684；H (t)=aA (t)+b σ (t)=
0.316*0.105+0.684*0.029=0.053 calculates the inconsistency health factor H of battery system difference service life state, obtains
To such as the following table 2, it can be seen that as battery system can release the reduction of capacity, the inconsistency of monomer voltage expands in system,
Health factor H rises to 17.667 from 1.It is assumed that setting S value as 40, then battery system inconsistency health status ratio is greater than 40
When think that system health status needs arouse attention and carry out battery core maintenance or replacement.
Table 2 is the inconsistency health status schematic table under certain Vehicular dynamic battery system difference SOH.
| Standard deviation/V | Very poor/V | H(t) | H(t)/H(s) | |
| SOH=1 | 0.003 | 0.015 | 0.003 | 1.000 |
| SOH=0.87 | 0.029 | 0.105 | 0.053 | 17.667 |
Table 2
Below using the temperature of single battery as parameter, carry out exemplary illustrated.
Firstly, obtaining the temperature collection value of each single battery in power battery pack in the beginning of lifetime of power battery pack
Ti, wherein i ∈ [1, imax], imax are temperature acquisition quantity in system, then calculate its very poor A (s) and meansquaredeviationσ (s) is made
For initial reference standard, such as imax=30.Then, with the operation of system, all temperature in power battery pack are obtained in moment t
It spends collection value Ti (t), acquisition opportunity can be obtained with viewing system processing capacity with specified time interval, can also choose battery system
The specified conditions of operation, such as the full electric moment in charging process, or after parking enough time (such as 30min/60min)
The initial power-on moment or specific SOC point.The very poor A (t) for obtaining temperature collection value again, A (t)=Tmax are calculated again
(t)-Tmin (t), Tmax, Tmin are the maximum value and minimum value of voltage in t moment system respectively.The temperature obtained again is adopted
The very poor A (t) of set value is for statistical analysis, calculates its meansquaredeviationσ (t)；Ti
(t) voltage of i-th of battery of t moment is indicated；Ti (t) indicates the voltage of i-th of battery of t moment,Indicate t moment power electric
Imax cell voltage mean value in cell system.
Then, judge battery system inconsistency health status, H (t)=aA (t)+b σ (t), if H (t)/H (s) > S,
Then think that battery system is in health status, H (s) is the inconsistency health status of cell system lifetime original state.Wherein,
A, b are weight coefficient；S is inconsistency secure threshold.A, b, S value are set according to system performance and demand.Not for the temperature difference
The system greater than Amax is obtained, a=(A (t)-A (s))/(A (max)-A (s)), A (max) are the maximum allowable pole of the parameter in system
Difference, the interior parameter of A (s) system are initially very poor.A >=0, b >=0, a+b=1.
Based on foregoing description, this invention embodiment also proposed a kind of health state evaluation of Vehicular dynamic battery group
Device.
Fig. 4 is the demonstrative structure figure of the health state evaluation device of the Vehicular dynamic battery group of electric car of the present invention.
As shown in figure 4, the health state evaluation device of the Vehicular dynamic battery group, comprising:
First acquisition module 401, for acquiring the predetermined battery performance parameter of the Vehicular dynamic battery group in entrucking state
First sample data, calculate first sample data very poor and mean square deviation；
Second acquisition module 402, for acquiring the predetermined battery performance parameter of the Vehicular dynamic battery group in operating status
The second sample data, calculate the second sample data very poor and mean square deviation；
Computing module 403, for very poor and the first health status of mean square deviation weighted calculation based on first sample data because
Son, very poor and the second health status of mean square deviation weighted calculation factor based on the second sample data；
Determining module 404, for calculating the ratio of the second health status factor Yu the first health status factor, and being based on should
Ratio determines the health status of Vehicular dynamic battery group.
In one embodiment, the first acquisition module 401, for calculating H (s)=aA (s)+b σ (s), wherein H (s) is
The first health status factor, A (s) are the very poor of first sample data, and σ (s) is the mean square deviation of first sample data；A is first
Weighting coefficient；B be the second weighting coefficient, a and b's and be 1；
Second acquisition module 402, for calculating H (t)=aA (t)+b σ (t), wherein H (t) is the second health status factor,
A (t) is the very poor of the second sample data, and σ (t) is the mean square deviation of the second sample data.
In one embodiment, system further include: weighting coefficient determining module 405 adds for predefining first
Weight coefficient a, in which:
A=(A (t)-A (s))/(A (max)-A (s)), wherein A (max) is preset, predetermined battery performance ginseng
Several is maximum allowable very poor.
In one embodiment, the predetermined battery performance parameter includes: single battery in Vehicular dynamic battery group
Voltage；The temperature of single battery in Vehicular dynamic battery group；The internal resistance of single battery in Vehicular dynamic battery group；Power train in vehicle application electricity
The capacity, etc. of Chi Zuzhong single battery.
Can by embodiment of the present invention proposes Vehicular dynamic battery group health state evaluation method be applied to it is various
In the electric car of type.For example, can be applied to mixed power electric car (HEV), pure electric automobile (BEV), fuel electricity
Pond electric car (FCEV) and other new energy (such as supercapacitor, flywheel high-efficiency energy storage vehicle) automobiles etc..
In conclusion embodiment of the present invention includes: the predetermined battery of acquisition Vehicular dynamic battery group in entrucking state
The first sample data of performance parameter calculate the very poor and mean square deviation of first sample data；Acquisition is automobile-used dynamic in operating status
Second sample data of the predetermined battery performance parameter of power battery pack calculates the very poor and mean square deviation of the second sample data；It is based on
Very poor and the first health status of mean square deviation weighted calculation factor of first sample data, based on the very poor and equal of the second sample data
Variance weighted calculates the second health status factor；The ratio of the second health status factor Yu the first health status factor is calculated, and
The health status of Vehicular dynamic battery group is determined based on the ratio.It can be seen that embodiment of the present invention is by counting automobile-used dynamic
Very poor and mean square deviation of the power battery pack in entrucking state and operating status, comprehensively utilizes the two indexs to the characterization of health degree
To judge the health degree situation of power battery pack, inner parameter inconsistency based on Vehicular dynamic battery group and its can drill
Become, assess the health status of Vehicular dynamic battery group, and thus improves assessment accuracy.
Hardware module in each embodiment mechanically or can be realized electronically.For example, a hardware module
It may include that the permanent circuit specially designed or logical device (such as application specific processor, such as FPGA or ASIC) are specific for completing
Operation.Hardware module also may include programmable logic device or circuit by software provisional configuration (as included general procedure
Device or other programmable processors) for executing specific operation.Mechanical system is used as specific, or using dedicated permanent
Property circuit, or Lai Shixian hardware module (such as is configured) by software using the circuit of provisional configuration, can according to cost with
Temporal consideration is to determine.
The present invention also provides a kind of machine readable storage medium, storage is for making a machine execute side as described herein
The instruction of method.Specifically, system or device equipped with storage medium can be provided, store in realization on the storage medium
State the software program code of the function of any embodiment in embodiment, and make the system or device computer (or CPU or
MPU the program code being stored in a storage medium) is read and executed.Further, it is also possible to be made by the instruction based on program code
Operating system of hands- operation etc. is calculated to complete partly or completely practical operation.It can also will read from storage medium
The expansion being connected to a computer is write in memory set in the expansion board in insertion computer or write to program code
In the memory being arranged in exhibition unit, then the instruction based on program code makes to be mounted on expansion board or expanding element
CPU etc. comes execution part and whole practical operations, to realize the function of any embodiment in above embodiment.
Storage medium embodiment for providing program code include floppy disk, hard disk, magneto-optic disk, CD (such as CD-ROM,
CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), tape, non-volatile memory card and ROM.Selectively,
It can be by communication network from download program code on server computer or cloud.
It should be noted that step and module not all in above-mentioned each process and each system construction drawing is all necessary
, certain steps or module can be ignored according to the actual needs.Each step execution sequence be not it is fixed, can be according to need
It is adjusted.System structure described in the various embodiments described above can be physical structure, be also possible to logical construction, that is, have
A little modules may be realized by same physical entity, be realized alternatively, some modules may divide by multiple physical entities, alternatively, can be with
It is realized jointly by certain components in multiple autonomous devices.
Herein, " schematic " expression " serving as examplea, instances, or illustrations " should not will be described herein as " showing
Any diagram, the embodiment of meaning property " are construed to technical solution that is a kind of preferred or more having advantages.To make simplified form,
Part related to the present invention is only schematically shown in each figure, and does not represent its practical structures as product.Separately
Outside, so that simplified form is easy to understand, with the component of identical structure or function in some figures, it is only symbolically depicted
In one, or only marked one of those.Herein, "one" is not offered as limiting the quantity of relevant portion of the present invention
It is made as " only this ", and "one" situation for not indicating to exclude the quantity " more than one " of relevant portion of the present invention.At this
Wen Zhong, "upper", "lower", "front", "rear", "left", "right", "inner", "outside" etc. are only used for indicating the opposite position between relevant portion
Set relationship, and the absolute position of these non-limiting relevant portions.
The series of detailed descriptions listed above only for feasible embodiment of the invention specifically
Protection scope that is bright, and being not intended to limit the invention, it is all without departing from equivalent embodiments made by technical spirit of the present invention or
Change, such as the combination, segmentation or repetition of feature, should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of health state evaluation method of Vehicular dynamic battery group characterized by comprising
The first sample data of the predetermined battery performance parameter of Vehicular dynamic battery group in entrucking state are acquired, the first sample is calculated
The very poor and mean square deviation of notebook data；
The second sample data of the predetermined battery performance parameter of Vehicular dynamic battery group in operating status is acquired, the second sample is calculated
The very poor and mean square deviation of notebook data；
Very poor and the first health status of mean square deviation weighted calculation factor based on first sample data, based on the second sample data
Very poor and the second health status of mean square deviation weighted calculation factor；
The ratio of the second health status factor Yu the first health status factor is calculated, and Vehicular dynamic battery is determined based on the ratio
The health status of group.
2. the health state evaluation method of Vehicular dynamic battery group according to claim 1, which is characterized in that described to be based on
Very poor and the first health status of mean square deviation weighted calculation factor of first sample data includes:
H (s)=aA (s)+b σ (s) is calculated, wherein H (s) is the first health status factor, and A (s) is the pole of first sample data
Difference, σ (s) are the mean square deviation of first sample data；A is the first weighting coefficient；B be the second weighting coefficient, a and b's and be 1；
Very poor and the second health status of mean square deviation weighted calculation factor based on the second sample data includes:
H (t)=aA (t)+b σ (t) is calculated, wherein H (t) is the second health status factor, and A (t) is the pole of the second sample data
Difference, σ (t) are the mean square deviation of the second sample data.
3. the health state evaluation method of Vehicular dynamic battery group according to claim 2, which is characterized in that this method is also
Include:
Predefine the first weighting coefficient a, in which:
A=(A (t)-A (s))/(A (max)-A (s)), wherein A (max) is preset, the predetermined battery performance parameter
It is maximum allowable very poor.
4. the health state evaluation method of Vehicular dynamic battery group according to claim 1, which is characterized in that described predetermined
Battery performance parameter includes:
The voltage of single battery in Vehicular dynamic battery group；
The temperature of single battery in Vehicular dynamic battery group；
The internal resistance of single battery in Vehicular dynamic battery group；Or
The capacity of single battery in Vehicular dynamic battery group.
5. the health state evaluation method of Vehicular dynamic battery group according to claim 1, which is characterized in that the acquisition
The second sample data of the predetermined battery performance parameter of Vehicular dynamic battery group in operating status are as follows:
At predetermined intervals in operating status, the second sample of the predetermined battery performance parameter of automobile-used power battery pack is acquired
Notebook data；Or
In the predetermined running condition of Vehicular dynamic battery group, the of the predetermined battery performance parameter of automobile-used power battery pack is acquired
Two sample datas.
6. the health state evaluation method of Vehicular dynamic battery group according to claim 5, which is characterized in that described predetermined
Service condition includes:
The full electric moment in charging process；
The initial power-on moment after the parking predetermined time；Or
Scheduled battery charge state point.
7. a kind of health state evaluation device of Vehicular dynamic battery group characterized by comprising
First acquisition module, for acquiring the first sample of the predetermined battery performance parameter of Vehicular dynamic battery group in entrucking state
Notebook data calculates the very poor and mean square deviation of first sample data；
Second acquisition module, the second sample of the predetermined battery performance parameter for acquiring the Vehicular dynamic battery group in operating status
Notebook data calculates the very poor and mean square deviation of the second sample data；
Computing module is based on for very poor and the first health status of mean square deviation weighted calculation factor based on first sample data
Very poor and the second health status of mean square deviation weighted calculation factor of second sample data；
Determining module, for calculating the ratio of the second health status factor Yu the first health status factor, and it is true based on the ratio
Determine the health status of Vehicular dynamic battery group.
8. the health state evaluation device of Vehicular dynamic battery group according to claim 7, which is characterized in that
First acquisition module, for calculating H (s)=aA (s)+b σ (s), wherein H (s) is the first health status factor, and A (s) is
First sample data it is very poor, σ (s) be first sample data mean square deviation；A is the first weighting coefficient；B is the second weighting system
Number, a and b's and be 1；
Second acquisition module, for calculating H (t)=aA (t)+b σ (t), wherein H (t) is the second health status factor, and A (t) is
Second sample data it is very poor, σ (t) be the second sample data mean square deviation.
9. the health state evaluation device of Vehicular dynamic battery group according to claim 8, which is characterized in that the system is also
Include:
Weighting coefficient determining module, for predefining the first weighting coefficient a, in which:
A=(A (t)-A (s))/(A (max)-A (s)), wherein A (max) is preset, the predetermined battery performance parameter
It is maximum allowable very poor.
10. the health state evaluation device of Vehicular dynamic battery group according to claim 7, which is characterized in that
The predetermined battery performance parameter includes:
The voltage of single battery in Vehicular dynamic battery group；
The temperature of single battery in Vehicular dynamic battery group；
The internal resistance of single battery in Vehicular dynamic battery group；Or
The capacity of single battery in Vehicular dynamic battery group.
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| CN114002517A (en) * | 2020-07-28 | 2022-02-01 | 比亚迪股份有限公司 | Device diagnosis method, platform, system and readable storage medium |
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