CN109143098A - A kind of lithium ion battery life estimation method and device - Google Patents
A kind of lithium ion battery life estimation method and device Download PDFInfo
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Abstract
Embodiment of the present invention discloses a kind of lithium ion battery life estimation method and device.Method includes: the same life experiment operating condition n repeated sample of setting for lithium ion battery, and obtains the life test data of n repeated sample, and wherein n is the positive integer for being at least 5；The probability distribution curve to fail using Wei Buer probability distribution curve as lithium ion battery under same life experiment operating condition, the life test data of quasi- n repeated sample is to obtain the form parameter for the probability distribution curve that lithium ion battery fails under same life experiment operating condition and be expressed as the scale parameter of characteristics life, the battery life function under same life experiment operating condition is determined based on form parameter and scale parameter, and wherein battery life argument of function is failure probability；The failure probability particular value under same life experiment operating condition is received, and determines the battery life of the failure probability particular value corresponded under same life experiment operating condition based on the battery life function under same life experiment operating condition.
Description
Technical field
Embodiment of the present invention is related to automobile technical field, in particular to a kind of lithium ion battery life estimation method and dress
It sets.
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.
Lithium ion (Li+) battery is a kind of secondary cell (rechargeable battery), it relies primarily on lithium ion in anode and cathode
Between it is mobile come work.In charge and discharge process, Li+Insertion and deintercalation back and forth between two electrodes: when charging, Li+From anode
Deintercalation is embedded in cathode by electrolyte, and cathode is in lithium-rich state；It is then opposite when electric discharge.The advance of lithium ion battery technology
With the application in emerging key market (electric car field), the research and development upsurge in global range is excited, lithium ion battery will
Critical positions are occupied in electric car and new energy field.It is phosphorus using more lithium ion battery at present in electric car
Sour lithium iron battery, its thermal stability and safety is preferable, while price is relatively cheap.
Current lithium ion battery life estimation method mainly establishes life model using based on previous experiments data, in turn
Predict battery life.However, the decline of lithium ion battery service life also includes other than following the aging rule under applying working condition
Uncertain and randomness, the failure probability of lithium ion battery are gradually increasing with the increase of use time.Lithium ion battery
During making and using, all there is inconsistency, the failure that this inconsistency will lead to lithium ion battery will not be stringent
Concentrate on a time point.
In the battery service life model establishment process of the prior art, the processing to life experiment result is usually to take same operating
The lifetime results average value of lower difference battery thinks that reasonable lifetime results are modeled as life characteristic values.However,
This life model lacks considering for failure probability, has ignored the randomness and contingency of sample inconsistency and failure.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of lithium ion battery life estimation method and devices, to consider
Lithium ion battery failure randomness, improves life estimate accuracy rate.
The technical solution of embodiment of the present invention is as follows:
A kind of lithium ion battery life estimation method, comprising:
N repeated sample is set for the same life experiment operating condition of lithium ion battery, and obtains the n repeated sample
Life test data, wherein n be at least 5 positive integer；
It fails using Wei Buer probability distribution curve as lithium ion battery described under the same life experiment operating condition general
Rate distribution curve, it is described under the same life experiment operating condition to obtain to be fitted the life test data of the n repeated sample
The form parameter of the probability distribution curve of lithium ion battery failure and the scale parameter for being expressed as characteristics life, are based on the shape
Parameter and the scale parameter determine the battery life function under the same life experiment operating condition, wherein the battery life letter
Several independents variable is failure probability；
The failure probability particular value under the same life experiment operating condition is received, and is based on the same life experiment operating condition
Under battery life function determine correspond to the same life experiment operating condition under failure probability particular value battery life.
In one embodiment, the battery life function under the same life experiment operating condition is T (f), and wherein f is to lose
Imitate probability；
Wherein m is form parameter, and η is scale parameter；Ln is natural logrithm.
In one embodiment, the same life experiment operating condition includes at least one of following:
Same temperature and same depth of discharge；
Same temperature and same discharge-rate；
Same temperature, same depth of discharge and same discharge-rate；
Same depth of discharge and same discharge-rate.
In one embodiment, this method further include:
Scale parameter function is determined using scheduled modeling pattern, wherein the scale parameter argument of function is the service life
Experiment condition parameter；
The probability to fail using Wei Buer probability distribution curve as lithium ion battery described under different life experiment operating conditions point
Cloth curve, be fitted the life test data of the n repeated sample with obtain under the different life experiment operating condition lithium from
The form parameter of the probability distribution curve of sub- battery failure；It is lost based on the lithium ion battery under the different life experiment operating conditions
The form parameter of the probability distribution curve of effect and the scale parameter function determine the electricity under the different life experiment operating conditions
Pond lifetime function, wherein the battery life argument of function under the difference life experiment operating condition is life experiment operating condition ginseng
Number.
In one embodiment, the scale parameter function is η (T, DOD), in which:
η (T, DOD)=exp (13.0538854971714+0.00236583998482005*T-
0.0594247691002157*DOD-(T-23.3333333333333)*((T-23.3333333333333)*
0.00174559910640996)-(T-23.3333333333333)*((DOD-85)*0.000250796508614118)+
(DOD-85) * ((DOD-85) * 0.000100081224917486)), wherein T is temperature parameter；DOD is depth of discharge parameter；
Exp is exponential function.
A kind of lithium ion battery life estimate device, comprising:
Data acquisition module sets n repeated sample for the same life experiment operating condition for lithium ion battery, and obtains
The life test data of the n repeated sample is obtained, wherein n is the positive integer for being at least 5；
Battery life function determination module, for using Wei Buer probability distribution curve as the same life experiment operating condition
Under lithium ion battery failure probability distribution curve, be fitted the life test data of the n repeated sample to obtain
It states the form parameter of the probability distribution curve of the lithium ion battery failure and expression under same life experiment operating condition and is characterized the longevity
The scale parameter of life determines the battery longevity under the same life experiment operating condition based on the form parameter and the scale parameter
Function is ordered, wherein the battery life argument of function is failure probability；
Battery life estimation block, for receiving the failure probability particular value under the same life experiment operating condition, and base
Battery life function under the same life experiment operating condition determines the failure corresponded under the same life experiment operating condition
The battery life of probability particular value.
In one embodiment, the battery life function under the same life experiment operating condition is T (f), and wherein f is to lose
Imitate probability；
Wherein m is form parameter, and η is scale parameter；Ln is natural logrithm.
In one embodiment, the same life experiment operating condition includes at least one of following:
Same temperature and same depth of discharge；
Same temperature and same discharge-rate；
Same temperature, same depth of discharge and same discharge-rate；
Same depth of discharge and same discharge-rate.
In one embodiment, further includes:
Scale parameter function determination module, for determining scale parameter function using scheduled modeling pattern, wherein described
Scale parameter argument of function is life experiment duty parameter；
The wherein battery life function determination module is also used to real using Wei Buer probability distribution curve as the different service life
The probability distribution curve for testing lithium ion battery failure under operating condition, be fitted the life test data of the n repeated sample with
Obtain the form parameter of the probability distribution curve of the lithium ion battery failure under the different life experiment operating conditions；Based on described
The form parameter of the probability distribution curve of the lithium ion battery failure and the scale parameter letter under different life experiment operating conditions
Number determines the battery life function under the different life experiment operating conditions, wherein the electricity under the difference life experiment operating condition
The independent variable of pond lifetime function is life experiment duty parameter.
In one embodiment, the scale parameter function is η (T, DOD), in which:
η (T, DOD)=exp (13.0538854971714+0.00236583998482005*T-
0.0594247691002157*DOD-(T-23.3333333333333)*((T-23.3333333333333)*
0.00174559910640996)-(T-23.3333333333333)*((DOD-85)*0.000250796508614118)+
(DOD-85) * ((DOD-85) * 0.000100081224917486)), wherein T is temperature parameter；DOD is depth of discharge parameter；
Exp is exponential function.
It can be seen from the above technical proposal that the same life experiment operating condition for lithium ion battery sets n repeating sample
This, and the life test data of n repeated sample is obtained, wherein n is the positive integer for being at least 5；It is bent with Wei Buer probability distribution
The probability distribution curve that line fails as lithium ion battery under same life experiment operating condition intends the life test of n repeated sample
Data are to obtain the form parameter for the probability distribution curve that lithium ion battery fails under same life experiment operating condition and be expressed as spy
The scale parameter for levying the service life, determines the battery life function under same life experiment operating condition based on form parameter and scale parameter,
Wherein battery life argument of function is failure probability；The failure probability particular value under same life experiment operating condition is received, and
Determine that the failure probability corresponded under same life experiment operating condition is special based on the battery life function under same life experiment operating condition
The battery life of definite value.As it can be seen that embodiment of the present invention failed using Wei Buer probability distribution curve as lithium ion battery it is general
Rate distribution curve, by lithium ion battery failure randomness and contingency introduce lithium ion battery life model, improve lithium from
The life estimate accuracy rate of sub- battery can be used for instructing cost estimate, use, maintenance and the replacement of Vehicular dynamic battery.
Moreover, in embodiments of the present invention, by the way that characteristics life is modeled as variable relevant to aging effects factor,
And then failure probability and battery life under different operating conditions are obtained, improve applicability.
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 lithium ion battery life estimation method flow chart according to the present invention.
Fig. 2 is according to the probability density curve signal that lithium ion battery fails under the operating condition of η=892 of the present invention, m=20
Figure.
Fig. 3 is according to the probability distribution curve signal that lithium ion battery fails under the operating condition of η=892 of the present invention, m=20
Figure.
The probability density that it is 25 DEG C that Fig. 4, which is according to temperature of the present invention, lithium ion battery fails under the operating condition that DOD is 100 is bent
Line schematic diagram.
The probability distribution that it is 25 DEG C that Fig. 5, which is according to temperature of the present invention, lithium ion battery fails under the operating condition that DOD is 100 is bent
Line schematic diagram.
Fig. 6 is lithium ion battery life estimate structure drawing of device according to 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.
In embodiments of the present invention, consider lithium ion battery failure randomness, establish the battery longevity for considering failure probability
Model is ordered to predict battery life, cost estimate, use, maintenance and the replacement of Vehicular dynamic battery can be instructed.Wherein, with Wei
The probability distribution curve that boolean's (Weibull) probability distribution curve fails as lithium ion battery, by lithium ion battery failure
Randomness and contingency introduce lithium ion battery life model.
Fig. 1 is lithium ion battery life estimation method flow chart according to the present invention.
As shown in Figure 1, this method comprises:
Step 101: setting n repeated sample for the same life experiment operating condition of lithium ion battery, and obtain n repetition
The life test data of sample, wherein n is the positive integer for being at least 5.
Step 102: failing using Wei Buer probability distribution curve as lithium ion battery under same life experiment operating condition general
Rate distribution curve, the life test data of fitting n repeated sample are lost with obtaining lithium ion battery under same life experiment operating condition
The form parameter of the probability distribution curve of effect and the scale parameter for being expressed as characteristics life, it is true based on form parameter and scale parameter
Battery life function under fixed same life experiment operating condition, wherein battery life argument of function is failure probability.
Step 103: receiving the failure probability particular value under same life experiment operating condition, and be based on same life experiment operating condition
Under battery life function determine correspond to same life experiment operating condition under failure probability particular value battery life.
In one embodiment, the battery life function under same life experiment operating condition is T (f), and wherein f is that failure is general
Rate；
Wherein m is form parameter, and η is scale parameter；Ln is natural logrithm.
In one embodiment, same life experiment operating condition includes: same temperature and same depth of discharge；Same temperature
With same discharge-rate；Same temperature, same depth of discharge and same discharge-rate；Same depth of discharge and same electric discharge times
Rate, etc..
In one embodiment, this method further include: scale parameter function is determined using scheduled modeling pattern, wherein
Scale parameter argument of function is life experiment duty parameter；Using Wei Buer probability distribution curve as different life experiment works
The probability distribution curve that lithium ion battery fails under condition, the life test data of fitting n repeated sample is to obtain the different service life
The form parameter for the probability distribution curve that lithium ion battery fails under experiment condition；Based on lithium ion under different life experiment operating conditions
The form parameter and scale parameter function of the probability distribution curve of battery failure, determine the battery under different life experiment operating conditions
Lifetime function, wherein the battery life argument of function under different life experiment operating conditions is life experiment duty parameter.
Preferably, scale parameter function is η (T, DOD), in which: η (T, DOD)=exp (13.0538854971714+
0.00236583998482005*T-0.0594247691002157*DOD-(T-23.3333333333333)*((T-
23.3333333333333)*0.00174559910640996)-(T-23.3333333333333)*((DOD-85)*
0.000250796508614118)+(DOD-85) * ((DOD-85) * 0.000100081224917486)), wherein T is temperature ginseng
Number；DOD is depth of discharge parameter；Exp is exponential function.
Specifically, the algorithm of embodiment of the present invention is described in detail below.
Firstly, setting multiple repeated samples for the same life experiment operating condition, life experimental data is obtained.Then, it walks
Suddenly with Wei Buer Probability Distribution Fitting life experimental data, the form parameter m and scale ginseng in life failure new probability formula are obtained
Number η；Further according to failure probabilityBattery life under failure probability of interestThe longevity
Different functions may be implemented according to life experiment complexity for life model.
For example, the same experiment condition sets N number of (N >=5) repeated sample in life experiment, experimental result is obtained,
Middle N value is bigger, and experimental result precision is higher.
Then, the probability distribution curve to be failed using Wei Buer probability distribution curve as lithium ion battery；
Wherein: m is form parameter；η is scale parameter, indicates characteristics life；T is battery life；F (t) is failure probability
Function.It is fitted the lifetime data of the N number of sample obtained in the same experiment condition, Wei Buer probability distribution curve ginseng can be obtained
M and η in number.
For example, lithium ion battery characteristics service life η=892 time recycle under certain operating condition, failure probability form parameter m=20.Fig. 2
For the probability density curve schematic diagram to be failed according to lithium ion battery under the operating condition of η=892 of the present invention, m=20.Fig. 3 is this hair
Bright η=892, m=20 operating condition under lithium ion battery fail probability distribution curve schematic diagram.
Different functions may be implemented according to life experiment complexity for the life model.Such as: under single operating condition
Life experiment, the failure probability under certain service life can be calculated, the service life under certain failure probability can also be calculated.Specifically, base
InIt can calculate under the same experiment condition, when specific circulating battery number (i.e. battery life)
Failure probability.Moreover, the inverse function T (f) for calculating F (t) can be calculated under the same experiment condition, specific failure is general
Battery life when rate particular value,Wherein T (f) is the battery life function under same life experiment operating condition,
F is failure probability.
Moreover, the failure probability under different operating conditions and battery longevity can also be obtained by combining with other modeling for life
Life.
It, then can will be special for example, establish the applying working condition under certain orthogonal form in conjunction with statistics experimental design in example
Sign service life η is modeled as variable relevant to aging effects factor, and then obtains the failure probability service life under different operating conditions.
Table 1 is the service life under lithium ion battery 1C discharge-rate under different temperatures and depth of discharge (DOD).
Table 1
Citing is based on 1 data of table, can be modeled, be obtained using Response Surface Method to the battery life under different operating conditions:
η=exp (13.0538854971714+0.00236583998482005*T-0.059424769100215 7*DOD-
(T-23.3333333333333)*((T-23.3333333333333)*0.00174559910640996)-(T-
23.3333333333333)*((DOD-85)*0.000250796508614118)+(DOD-85)*((DOD-85)*
0.000100081224917486))；
Then, battery core failure probability is modeled with Weibull formula, utilizes the longevity of the n repeated sample obtained in step 101
Life test data is fitted to obtain the battery life failure conditions under any probability, obtains fitting battery characteristics life failure formula:
Wherein m=54.68, exp (13.0538854971714+
0.00236583998482005*T-0.0594247691002157*DOD-(T-23.3333333333333)*(T-
23.3333333333333)*0.00174559910640996)-(T-23.3333333333333)*(DOD-85)*
0.000250796508614118)+(DOD-85)*((DOD-85)*0.000100081224917486))。
In the above description, it is modeled using Response Surface Method and determines scale parameter function.Those skilled in the art can anticipate
Know, embodiment of the present invention can also determine scale parameter using other modeling patterns such as exponential function, polynomial function
Function, embodiment of the present invention is to specific modeling pattern and is not limited.
In this way, the battery characteristics service life in temperature range [0,45] DOD range [70,100] can be obtained.For specific
Operating condition, such as 25 DEG C, DOD 100, bring temperature and DOD into above-mentioned formula, then η=1315.5.
The probability density that it is 25 DEG C that Fig. 4, which is according to temperature of the present invention, lithium ion battery fails under the operating condition that DOD is 100 is bent
Line schematic diagram.The probability distribution that it is 25 DEG C that Fig. 5, which is according to temperature of the present invention, lithium ion battery fails under the operating condition that DOD is 100 is bent
Line schematic diagram.
Further, it is possible to set concern failure probability (such as 0.03), thenThen obtain t=1234.So far, be calculated specific operation (25 DEG C, DOD
It is 1234 circulations (cycles) for the battery life under 100) when cumulative failure probability 0.03.
Embodiment of the present invention also proposed a kind of lithium ion battery life estimate device.
Fig. 6 is lithium ion battery life estimate structure drawing of device according to the present invention.
As shown in fig. 6, the device includes:
Data acquisition module 601 sets n repeated sample for the same life experiment operating condition for lithium ion battery,
And the life test data of the n repeated sample is obtained, wherein n is the positive integer for being at least 5；
Battery life function determination module 602, for using Wei Buer probability distribution curve as the same life experiment
The probability distribution curve of the lithium ion battery failure, is fitted the life test data of the n repeated sample to obtain under operating condition
It takes the form parameter of the probability distribution curve of the lithium ion battery failure under the same life experiment operating condition and is expressed as spy
The scale parameter for levying the service life, determines the electricity under the same life experiment operating condition based on the form parameter and the scale parameter
Pond lifetime function, wherein the battery life argument of function is failure probability；
Battery life estimation block 603, for receiving the failure probability particular value under the same life experiment operating condition, and
The mistake corresponded under the same life experiment operating condition is determined based on the battery life function under the same life experiment operating condition
Imitate the battery life of probability particular value.
In one embodiment, the battery life function under same life experiment operating condition is T (f), and wherein f is that failure is general
Rate；
Wherein m is form parameter, and η is scale parameter；Ln is natural logrithm.
In one embodiment, same life experiment operating condition includes at least one of following:
Same temperature and same depth of discharge；
Same temperature and same discharge-rate；
Same temperature, same depth of discharge and same discharge-rate；
Same depth of discharge and same discharge-rate.
In one embodiment, further includes:
Scale parameter function determination module 604, for determining scale parameter function using scheduled modeling pattern, wherein institute
Stating scale parameter argument of function is life experiment duty parameter；
Wherein battery life function determination module 602 is also used to real using Wei Buer probability distribution curve as the different service life
The probability distribution curve for testing lithium ion battery failure under operating condition, be fitted the life test data of the n repeated sample with
Obtain the form parameter of the probability distribution curve of the lithium ion battery failure under the different life experiment operating conditions；Based on described
The form parameter of the probability distribution curve of the lithium ion battery failure and the scale parameter letter under different life experiment operating conditions
Number determines the battery life function under the different life experiment operating conditions, wherein the electricity under the difference life experiment operating condition
The independent variable of pond lifetime function is life experiment duty parameter.
In one embodiment, scale parameter function is η (T, DOD), in which:
η (T, DOD)=exp (13.0538854971714+0.00236583998482005*T-
0.0594247691002157*DOD-(T-23.3333333333333)*((T-23.3333333333333)*
0.00174559910640996)-(T-23.3333333333333)*((DOD-85)*0.000250796508614118)+
(DOD-85) * ((DOD-85) * 0.000100081224917486)), wherein T is temperature parameter；DOD is depth of discharge parameter；
Exp is exponential function.
Can by embodiment of the present invention proposes lithium ion battery life estimation method and device be applied to various types
Electric car in, for example be applied to mixed power electric car (HEV), pure electric automobile (BEV), fuel cell electric vehicle
(FCEV) and other new energy (such as supercapacitor, flywheel high-efficiency energy storage vehicle) automobiles etc..
In conclusion the same life experiment operating condition for lithium ion battery sets n repeated sample, and obtain n weight
The life test data of duplicate sample sheet, wherein n is the positive integer for being at least 5；Using Wei Buer probability distribution curve as the same service life
The probability distribution curve that lithium ion battery fails under experiment condition, the life test data for intending n repeated sample are same to obtain
The form parameter for the probability distribution curve that lithium ion battery fails under life experiment operating condition and the scale ginseng for being expressed as characteristics life
Number, determines the battery life function under same life experiment operating condition based on form parameter and scale parameter, wherein battery life letter
Several independents variable is failure probability；The failure probability particular value under same life experiment operating condition is received, and real based on the same service life
Test the battery life that the battery life function under operating condition determines the failure probability particular value corresponded under same life experiment operating condition.
As it can be seen that the probability distribution curve that embodiment of the present invention is failed using Wei Buer probability distribution curve as lithium ion battery, by lithium
The randomness and contingency of ion battery failure introduce lithium ion battery life model, improve the life estimate of lithium ion battery
Accuracy rate can be used for instructing cost estimate, use, maintenance and the replacement of Vehicular dynamic battery.
Moreover, in embodiments of the present invention, by the way that characteristics life is modeled as variable relevant to aging effects factor,
And then failure probability and battery life under different operating conditions are obtained, improve applicability.
It should be noted that step and module not all in above-mentioned each process and each structure chart be all it is necessary, can
To ignore certain steps or module according to the actual needs.Each step execution sequence be not it is fixed, can according to need into
Row adjustment.The division of each module is intended merely to facilitate the division functionally that description uses, and in actual implementation, a module can
It is realized with point by multiple modules, the function of multiple modules can also be realized by the same module, these modules can be located at same
In a equipment, it can also be located in different equipment.
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 hardware module is realized using the circuit (such as being configured by software) of provisional configuration, can according to cost and
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.
In the above various embodiments, hardware cell mechanically or can be realized electrically.For example, a hardware list
Member may include permanent dedicated circuit or logic (such as special processor, FPGA or ASIC) to complete corresponding operating.Firmly
Part unit can also include programmable logic or circuit (such as general processor or other programmable processors), can by software into
The interim setting of row is to complete corresponding operating.Concrete implementation mode (mechanical system or dedicated permanent circuit or is faced
When the circuit that is arranged) can be determined based on cost and temporal consideration.
Detailed displaying and explanation carried out to the present invention above by attached drawing and preferred embodiment, however the present invention is not limited to
These embodiments having revealed that, base could be aware that with above-mentioned multiple embodiment those skilled in the art, can combine above-mentioned difference
Code audit means in embodiment obtain the more embodiments of the present invention, these embodiments also protection scope of the present invention it
It is interior.
Claims (10)
1. a kind of lithium ion battery life estimation method characterized by comprising
N repeated sample is set for the same life experiment operating condition of lithium ion battery, and obtains the longevity of the n repeated sample
Test data is ordered, wherein n is the positive integer for being at least 5；
The probability to fail using Wei Buer probability distribution curve as lithium ion battery described under the same life experiment operating condition point
Cloth curve, be fitted the life test data of the n repeated sample with obtain under the same life experiment operating condition lithium from
The form parameter of the probability distribution curve of sub- battery failure and the scale parameter for being expressed as characteristics life are based on the form parameter
The battery life function under the same life experiment operating condition is determined with the scale parameter, wherein the battery life function
Independent variable is failure probability；
The failure probability particular value under the same life experiment operating condition is received, and based under the same life experiment operating condition
Battery life function determines the battery life of the failure probability particular value corresponded under the same life experiment operating condition.
2. lithium ion battery life estimation method according to claim 1, which is characterized in that the same life experiment work
Battery life function under condition is T (f), and wherein f is failure probability；
Wherein m is form parameter, and η is scale parameter；Ln is natural logrithm.
3. lithium ion battery life estimation method according to claim 1, which is characterized in that the same life experiment work
Condition includes at least one of following:
Same temperature and same depth of discharge；
Same temperature and same discharge-rate；
Same temperature, same depth of discharge and same discharge-rate；
Same depth of discharge and same discharge-rate.
4. lithium ion battery life estimation method according to claim 1, which is characterized in that this method further include:
Scale parameter function is determined using scheduled modeling pattern, wherein the scale parameter argument of function is life experiment
Duty parameter；
The probability distribution to fail using Wei Buer probability distribution curve as lithium ion battery described under different life experiment operating conditions is bent
Line is fitted the life test data of the n repeated sample to obtain the lithium-ion electric under the different life experiment operating conditions
The form parameter of the probability distribution curve of pond failure；Based on the lithium ion battery failure under the different life experiment operating conditions
The form parameter of probability distribution curve and the scale parameter function determine the battery longevity under the different life experiment operating conditions
Function is ordered, wherein the battery life argument of function under the difference life experiment operating condition is life experiment duty parameter.
5. lithium ion battery life estimation method according to claim 4, which is characterized in that the scale parameter function is
η (T, DOD), in which:
η (T, DOD)=exp (13.0538854971714+0.00236583998482005*T-0.059424769100215 7*
DOD-(T-23.3333333333333)*((T-23.3333333333333)*0.00174559910640996)-(T-
23.3333333333333)*((DOD-85)*0.000250796508614118)+(DOD-85)*((DOD-85)*
0.000100081224917486)), wherein T is temperature parameter；DOD is depth of discharge parameter；Exp is exponential function.
6. a kind of lithium ion battery life estimate device characterized by comprising
Data acquisition module sets n repeated sample for the same life experiment operating condition for lithium ion battery, and obtains institute
The life test data of n repeated sample is stated, wherein n is the positive integer for being at least 5；
Battery life function determination module, for using Wei Buer probability distribution curve as institute under the same life experiment operating condition
The probability distribution curve for stating lithium ion battery failure, it is described same to obtain to be fitted the life test data of the n repeated sample
The form parameter of the probability distribution curve of lithium ion battery failure and characteristics life is expressed as under one life experiment operating condition
Scale parameter determines the battery life letter under the same life experiment operating condition based on the form parameter and the scale parameter
Number, wherein the battery life argument of function is failure probability；
Battery life estimation block for receiving the failure probability particular value under the same life experiment operating condition, and is based on institute
The battery life function stated under same life experiment operating condition determines the failure probability corresponded under the same life experiment operating condition
The battery life of particular value.
7. lithium ion battery life estimate device according to claim 6, which is characterized in that the same life experiment work
Battery life function under condition is T (f), and wherein f is failure probability；
Wherein m is form parameter, and η is scale parameter；Ln is natural logrithm.
8. lithium ion battery life estimate device according to claim 6, which is characterized in that the same life experiment work
Condition includes at least one of following:
Same temperature and same depth of discharge；
Same temperature and same discharge-rate；
Same temperature, same depth of discharge and same discharge-rate；
Same depth of discharge and same discharge-rate.
9. lithium ion battery life estimate device according to claim 1, which is characterized in that further include:
Scale parameter function determination module, for determining scale parameter function using scheduled modeling pattern, wherein the scale
The independent variable of parametric function is life experiment duty parameter；
The wherein battery life function determination module is also used to using Wei Buer probability distribution curve as different life experiment works
The probability distribution curve of the lithium ion battery failure, is fitted the life test data of the n repeated sample to obtain under condition
The form parameter of the probability distribution curve of the lithium ion battery failure under the difference life experiment operating condition；Based on the difference
The form parameter of the probability distribution curve of the lithium ion battery failure and the scale parameter function under life experiment operating condition, really
The battery life function under the different life experiment operating conditions is made, wherein the battery life under the difference life experiment operating condition
Argument of function is life experiment duty parameter.
10. lithium ion battery life estimate device according to claim 9, which is characterized in that the scale parameter function
For η (T, DOD), in which:
η (T, DOD)=exp (13.0538854971714+0.00236583998482005*T-0.059424769100215 7*
DOD-(T-23.3333333333333)*((T-23.3333333333333)*0.00174559910640996)-(T-
23.3333333333333)*((DOD-85)*0.000250796508614118)+(DOD-85)*((DOD-85)*
0.000100081224917486)), wherein T is temperature parameter；DOD is depth of discharge parameter；Exp is exponential function.
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