CN111175665A - Lithium battery testing method, device, equipment and storage medium - Google Patents
Lithium battery testing method, device, equipment and storage medium Download PDFInfo
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- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 124
- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 124
- 238000012360 testing method Methods 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 claims abstract description 27
- 230000014759 maintenance of location Effects 0.000 claims description 33
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000010998 test method Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 4
- 238000004519 manufacturing process Methods 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 12
- 230000015556 catabolic process Effects 0.000 description 7
- 238000006731 degradation reaction Methods 0.000 description 7
- 230000001419 dependent effect Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000000284 resting effect Effects 0.000 description 3
- 102000003712 Complement factor B Human genes 0.000 description 2
- 108090000056 Complement factor B Proteins 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013500 data storage Methods 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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Abstract
The embodiment of the invention discloses a method, a device, equipment and a storage medium for testing a lithium battery. The method comprises the following steps: obtaining life attenuation models of the lithium battery under different charge states, storage temperatures and shelf time, and fitting the life attenuation models to obtain the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time. Compared with the prior art, the embodiment of the invention obtains the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time by fitting the life decay model of the lithium battery, and provides a basis for the production, storage and use of subsequent battery cells.
Description
Technical Field
The embodiment of the invention relates to the technical field of battery testing, in particular to a testing method, a testing device, testing equipment and a storage medium for a lithium battery.
Background
The calendar life of the lithium battery is the time from the production and the manufacture to the end of the life of the lithium battery, and the calendar life of the lithium battery is different under different shelf states, such as different charge states, storage temperatures, shelf time and the like. Especially, when the lithium battery is applied to the fields of energy storage and new energy automobiles, the calendar life of the lithium battery in different shelving states is determined, and the method has important significance for guiding the production, storage and use of the battery core.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for testing a lithium battery, which are used for determining the calendar life of the lithium battery under different charge states, storage temperatures and shelf times.
In a first aspect, an embodiment of the present invention provides a method for testing a lithium battery, including:
obtaining a life attenuation model of the lithium battery under different charge states, storage temperatures and shelf time;
and fitting the life decay model to obtain the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time.
Optionally, the lifetime decay model comprises a first lifetime decay model and a second lifetime decay model;
the first life decay model is:
lnQloss＝lna1+Zcal*lnt
wherein Q islossA1 is a user-defined variable, Z is the capacity loss rate of the lithium batterycalIs an influence factor corresponding to the shelf life, and t is the shelf life;
the second life decay model is:
wherein a2 is a custom variable, BcalIs the influence factor corresponding to the state of charge, T is the storage temperature, EcalIn order to store the influence factor corresponding to the temperature, R is a molar gas constant.
Optionally, the fitting the life decay model to obtain the calendar life of the lithium battery under the corresponding state of charge, storage temperature and shelf time includes:
linearly fitting the first life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain an influence factor corresponding to the shelf time;
linearly fitting the second life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain an influence factor corresponding to the charge state and an influence factor corresponding to the storage temperature;
and determining the calendar life of the lithium battery under the corresponding state of charge, the storage temperature and the shelf time according to the influence factors corresponding to the shelf time, the state of charge and the storage temperature and by combining a calendar life calculation formula.
Optionally, the calendar life calculation formula is:
wherein, PcalFor capacity retention, BcalAs a factor corresponding to the state of charge, EcalFor storing the corresponding influencing factor of temperature, ZcalAnd R is a molar gas constant, T is a storage temperature, and T is the shelf time.
In a second aspect, an embodiment of the present invention further provides a testing apparatus for a lithium battery, including:
the service life attenuation model acquisition module is used for acquiring service life attenuation models of the lithium battery under different charge states, storage temperatures and shelf time;
and the fitting module is used for fitting the life decay model to obtain the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time.
Optionally, the lifetime decay model comprises a first lifetime decay model and a second lifetime decay model;
the first life decay model is:
lnQloss＝lna1+Zcal*lnt
wherein Q islossA1 is a user-defined variable, Z is the capacity loss rate of the lithium batterycalIs an influence factor corresponding to the shelf life, and t is the shelf life;
the second life decay model is:
wherein a2 is a custom variable, BcalIs the influence factor corresponding to the state of charge, T is the storage temperature, EcalIn order to store the influence factor corresponding to the temperature, R is a molar gas constant.
Optionally, the fitting module is specifically configured to:
linearly fitting the first life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain an influence factor corresponding to the shelf time;
linearly fitting the second life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain an influence factor corresponding to the charge state and an influence factor corresponding to the storage temperature;
and determining the calendar life of the lithium battery under the corresponding state of charge, the storage temperature and the shelf time according to the influence factors corresponding to the shelf time, the state of charge and the storage temperature and by combining a calendar life calculation formula.
Optionally, the calendar life calculation formula is:
wherein, PcalFor capacity retention, BcalAs a factor corresponding to the state of charge, EcalFor storing the corresponding influencing factor of temperature, ZcalAnd R is a molar gas constant, T is a storage temperature, and T is the shelf time.
In a third aspect, an embodiment of the present invention further provides an apparatus, including:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of testing a lithium battery as described in the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a storage medium, on which a computer program is stored, where the program, when executed by a processor, implements the method for testing a lithium battery according to the first aspect.
The embodiment of the invention provides a method, a device, equipment and a storage medium for testing a lithium battery. Compared with the prior art, the embodiment of the invention obtains the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time by fitting the life decay model of the lithium battery, and provides a basis for the production, storage and use of subsequent battery cells.
Drawings
Fig. 1 is a flowchart of a method for testing a lithium battery according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating comparison of the results of a linear fitting lifetime attenuation model and a nonlinear fitting lifetime attenuation model under the condition of a normal temperature and a charge state of 100% in accordance with an embodiment of the present invention;
fig. 3 is a flowchart of a method for testing a lithium battery according to a second embodiment of the present invention;
fig. 4 is a schematic diagram illustrating comparison between the actually measured capacity retention rate of the lithium battery at the normal temperature and the 100% state of charge and the result of the capacity retention rate obtained by linear fitting in the second embodiment of the present invention;
FIG. 5 is a graph illustrating the comparison between the actually measured capacity retention rate of a lithium battery at 50 ℃ and 100% state of charge and the linearly fitted capacity retention rate of the lithium battery in example two of the present invention;
fig. 6 is a schematic diagram illustrating comparison between the actually measured capacity retention rate of the lithium battery at the normal temperature and 80% state of charge and the capacity retention rate obtained by linear fitting in example two of the present invention;
FIG. 7 is a graph illustrating the comparison between the actually measured capacity retention rate of a lithium battery at 50 ℃ and 80% state of charge and the linearly fitted capacity retention rate of a lithium battery according to example two of the present invention;
fig. 8 is a structural diagram of a testing apparatus for a lithium battery according to a third embodiment of the present invention;
fig. 9 is a structural diagram of an apparatus according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures. In addition, the embodiments and features of the embodiments in the present invention may be combined with each other without conflict.
Example one
Fig. 1 is a flowchart of a method for testing a lithium battery according to an embodiment of the present invention, where the method is applicable to determining a calendar life of the lithium battery, and the method may be executed by a device for testing a lithium battery, where the device may be implemented in a software and/or hardware manner, and may be integrated in a computer or a mobile phone, and referring to fig. 1, the method may include the following steps:
s110, obtaining a life attenuation model of the lithium battery under different charge states, storage temperatures and shelf time.
The lithium battery of this embodiment takes a lithium iron phosphate soft package battery as an example, and the electric quantity when the battery is fully charged is 37 Ah. State of Charge (SOC) is the ratio of the current remaining capacity of the battery to its fully charged capacity, and is usually expressed as a percentage, for example, when SOC is 0, it means that the battery is fully discharged, and when SOC is 100%, it means that the battery is fully charged. It can be understood that the electric quantity of the lithium battery is lost when the lithium battery is placed, the capacity loss rate corresponding to different placing states is different, and correspondingly, the calendar life is different. The resting state of the embodiment takes the charge state, the storage temperature and the resting time as examples, that is, the charge state, the storage temperature and the resting time of the lithium battery are different, and the corresponding calendar life is different. In order to accurately test the calendar life of the lithium battery, the embodiment obtains the life attenuation models of the lithium battery under different charge states, storage temperatures and shelf times in advance, wherein the life attenuation models can be determined according to actual needs.
And S120, fitting the life decay model to obtain the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time.
Optionally, the capacity loss rates of the lithium battery under different states of charge, storage temperatures and shelf times can be obtained, and the corresponding life decay model is fitted according to the relationship between the states of charge, the storage temperatures and the shelf times and the capacity loss rates, so as to obtain the calendar life of the lithium battery.
Illustratively, the life decay model is lnQloss＝lna1+ZcalLnt, wherein QlossThe capacity loss rate of the lithium battery is shown as a1 which is a self-defined variable, ZcalAnd t is the shelf time. Alternatively to this, the first and second parts may,
Bcalas a factor corresponding to the state of charge, EcalFor storing the corresponding influencing factor of temperature, ZcalR is a molar gas constant and T is a storage temperature, which are influence factors corresponding to the shelf time.
The relationship between the state of charge, storage temperature and shelf life of the lithium battery and the rate of capacity loss is shown in table 1. Fitting the life decay model according to the shelf life and the capacity loss rate by taking the storage temperature as normal temperature and the charge state as 100% as an example to obtain y which is 0.4891x-6.1913, wherein x represents lnt, y represents lnQlossFinally obtaining the influence factor Z corresponding to the shelf timecal0.4891, lna 1-6.1913, wherebyThe capacity loss rate of the lithium battery with the storage temperature of normal temperature and the charge state of 100% can be determined to be 0.0020472 × t0.4891The corresponding capacity retention was 1-0.0020472 × t0.4891When the capacity retention rate is 80%, the corresponding value of t is the calendar life when the lithium battery is stored at normal temperature and the state of charge is 100%, and in this embodiment, it is set that when the capacity retention rate of the lithium battery reaches 80%, it means that the life is terminated.
It should be noted that in the present embodiment, linear fitting is adopted when fitting the lifetime degradation model, that is, logarithm of the shelf life and the capacity loss rate are taken and then are respectively used as the independent variable and the dependent variable, so that the fitting result is improved. Exemplarily, referring to fig. 2, fig. 2 is a schematic diagram illustrating a comparison between results of a linear fitting lifetime attenuation model and a nonlinear fitting lifetime attenuation model under a condition of a normal temperature and a state of charge of 100%, in an embodiment of the present invention, where a curve 1 is a result of linear fitting and a curve 2 is a result of nonlinear fitting, and such a linear fitting manner of the present embodiment is not only simple, but also has high accuracy. Of course, the life decay model can be linearly fitted with other data in table 1 to obtain the corresponding calendar life.
TABLE 1 relationship between state of charge, storage temperature and shelf life and capacity loss rate
The embodiment of the invention provides a test method of a lithium battery, which is characterized in that life attenuation models of the lithium battery under different charge states, storage temperatures and shelf time are obtained, and the life attenuation models are fitted to obtain the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time. Compared with the prior art, the embodiment of the invention obtains the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time by fitting the life decay model of the lithium battery, and provides a basis for the production, storage and use of subsequent battery cells.
On the basis of the foregoing embodiment, optionally, the lifetime degradation model includes a first lifetime degradation model and a second lifetime degradation model;
the first life decay model is:
lnQloss＝lna1+Zcal*lnt (1)
wherein Q islossA1 is a user-defined variable, Z is the capacity loss rate of the lithium batterycalIs an influence factor corresponding to the shelf life, and t is the shelf life;
the second life decay model is:
wherein a2 is a custom variable, BcalIs the influence factor corresponding to the state of charge, T is the storage temperature, EcalIn order to store the influence factor corresponding to the temperature, R is a molar gas constant.
The first life decay model of the embodiment is used for determining the influence factor Z corresponding to the shelf lifecalThe concrete form is shown in formula (1), wherein ZcalFor dimensionless constants, examples are given by ZcalFor example, 0.4891. When fitting the first life decay model using the data in table 1, lnt was used as the argument and lnQ was usedlossAs a dependent variable, linear fitting can be realized, and the method is simple and convenient. For another example, taking the storage temperature of 50 ℃ and the state of charge of 100% in table 1 as an example, the first life decay model is linearly fitted to finally obtain the capacity retention rate of 1-0.00378201 × t when the lithium battery is stored in the environment of 50 ℃ and the state of charge of 100%0.4891And when the capacity retention rate is 80%, the calendar life of the lithium battery under the working condition can be obtained.
The second life attenuation model is used for determining the influence factor B corresponding to the state of chargecalAnd storing the influence factor E corresponding to the temperaturecalThe concrete form is shown in formula (2). Wherein a2 ═ Qloss/tZcalAnd T +273 is absolute temperature, will be used when linearly fitting the second life decay model using the data in Table 1
As independent variable lna2 as dependent variable, the resulting fit is-4778.8 x +9.8382, and against the second life decay model, lnB can be determinedcal9.8382, then Bcal＝18735.96092，EcalR-4778.8, wherein R-8.314 means Ecal＝39730.9432。
Example two
Fig. 3 is a flowchart of a testing method for a lithium battery according to a second embodiment of the present invention, where the present embodiment is optimized based on the foregoing embodiment, and referring to fig. 3, the method includes the following steps:
s210, obtaining a life attenuation model of the lithium battery under different charge states, storage temperatures and shelf time.
S220, linearly fitting the first life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain the influence factor corresponding to the shelf time.
The first life decay model takes the formula (1) as an example, and the influence factor Z corresponding to the shelf lifecalFor the determination process, reference may be made to the foregoing embodiments, which are not described herein again. Illustratively, referring to table 2, table 2 is a relationship between actually measured capacity retention and a linearly fitted capacity retention under different operating conditions.
TABLE 2 relationship between the capacity retention ratio actually measured under different conditions and the linearly fitted capacity retention ratio
Exemplarily, referring to fig. 4 and 5, fig. 4 is a schematic diagram illustrating a comparison between a capacity retention rate of a lithium battery actually measured at a normal temperature and a 100% state of charge and a capacity retention rate obtained by linear fitting in an embodiment two of the present invention, where a curve 1 is an actually measured value and a curve 2 is a linear fitting value. Fig. 5 is a schematic diagram illustrating comparison between the capacity retention rate of the lithium battery actually measured at 50 ℃ and 100% state of charge and the capacity retention rate obtained by linear fitting in the second embodiment of the present invention, where a curve 1 is an actually measured value and a curve 2 is a linear fitting value. It can be seen from fig. 4 and 5 that the relative error between the measured data and the fitting data at normal temperature is within 1%, and the relative error between the measured data and the fitting data at high temperature is 5%.
Exemplarily, referring to fig. 6 and 7, fig. 6 is a schematic diagram illustrating comparison between a capacity retention rate of a lithium battery actually measured at a normal temperature and 80% charge state and a capacity retention rate obtained by linear fitting in an embodiment two of the present invention, where a curve 1 is an actually measured value and a curve 2 is a linear fitting value, and fig. 7 is a schematic diagram illustrating comparison between a capacity retention rate of a lithium battery actually measured at a 50 ℃ and 80% charge state and a capacity retention rate obtained by linear fitting in an embodiment two of the present invention, where a curve 1 is an actually measured value and a curve 2 is a linear fitting value. It can be seen from fig. 6 and 7 that the relative error between the measured data and the fitting data at normal temperature is within 1%, the relative error between the measured data and the fitting data at high temperature is 5%, and the degree of fitting is high.
And S230, linearly fitting the second life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain the influence factor corresponding to the charge state and the influence factor corresponding to the storage temperature.
The second life decay model is given by formula (2) as an example, and the influence factor B corresponding to the state of chargecalAnd storing the influence factor E corresponding to the temperaturecalFor the determination process, reference may be made to the foregoing embodiments, which are not described herein again.
S240, determining the calendar life of the lithium battery under the corresponding charge state, the storage temperature and the shelf time according to the influence factors corresponding to the shelf time, the charge state and the storage temperature and by combining a calendar life calculation formula.
Optionally, the calendar life calculation formula is:
wherein, PcalFor capacity retention, BcalAs a factor corresponding to the state of charge, EcalFor storing the corresponding influencing factor of temperature, ZcalAnd R is a molar gas constant, T is a storage temperature, and T is the shelf time.
As stated above, at 100% state of charge, Ecal＝39731，Bcal18736, constant Z without dimensioncal0.4891, 80% state of charge, Bcal＝4974，Ecal36068, the capacity retention rate of the lithium battery is 1-18736 × exp [ -39731/R (T +273) under different storage temperatures and 100% charge state]*t0.4891The capacity retention rate of the lithium battery is 1-4974 x exp [ -36068/R (T +273) under the condition of 80% of charge state and different storage temperatures]*t0.4891Therefore, the daily life of the lithium battery under different working conditions can be determined. Note that the embodiment only exemplarily shows the determination process of the lithium battery daytime life under several conditions, and the determination process of other conditions is similar.
On the basis of the embodiment, the influence factor corresponding to the shelf time, the influence factor corresponding to the charge state and the influence factor corresponding to the storage temperature are obtained by linearly fitting the first life attenuation model and the second life attenuation model, and the calendar life of the lithium battery under various working conditions is further obtained according to the three influence factors, so that a basis is provided for the production, storage and use of subsequent battery cells, and the test accuracy is also improved.
EXAMPLE III
Fig. 8 is a structural diagram of a testing apparatus for a lithium battery according to a third embodiment of the present invention, where the testing apparatus can execute the testing method for a lithium battery according to the third embodiment, and referring to fig. 8, the testing apparatus includes:
the life attenuation model obtaining module 310 is used for obtaining life attenuation models of the lithium battery under different charge states, storage temperatures and shelf times;
and the fitting module 320 is configured to fit the life decay model to obtain the calendar life of the lithium battery under the corresponding state of charge, storage temperature and shelf time.
The third embodiment of the invention provides a testing device of a lithium battery, which is used for obtaining a life attenuation model of the lithium battery under different charge states, storage temperatures and shelf time and fitting the life attenuation model to obtain the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time. Compared with the prior art, the embodiment of the invention obtains the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time by fitting the life decay model of the lithium battery, and provides a basis for the production, storage and use of subsequent battery cells.
On the basis of the above embodiment, the lifetime degradation model includes a first lifetime degradation model and a second lifetime degradation model;
the first life decay model is:
lnQloss＝lna1+Zcal*lnt
wherein Q islossA1 is a user-defined variable, Z is the capacity loss rate of the lithium batterycalIs an influence factor corresponding to the shelf life, and t is the shelf life;
the second life decay model is:
wherein a2 is a custom variable, BcalIs the influence factor corresponding to the state of charge, T is the storage temperature, EcalIn order to store the influence factor corresponding to the temperature, R is a molar gas constant.
On the basis of the foregoing embodiment, the fitting module is specifically configured to:
linearly fitting the first life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain an influence factor corresponding to the shelf time;
linearly fitting the second life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain an influence factor corresponding to the charge state and an influence factor corresponding to the storage temperature;
and determining the calendar life of the lithium battery under the corresponding state of charge, the storage temperature and the shelf time according to the influence factors corresponding to the shelf time, the state of charge and the storage temperature and by combining a calendar life calculation formula.
On the basis of the above embodiment, the calendar life calculation formula is:
wherein, PcalFor capacity retention, BcalAs a factor corresponding to the state of charge, EcalFor storing the corresponding influencing factor of temperature, ZcalAnd R is a molar gas constant, T is a storage temperature, and T is the shelf time.
The test device for the lithium battery provided by the embodiment of the invention can execute the test method for the lithium battery provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 9 is a structural diagram of an apparatus according to a fourth embodiment of the present invention, and referring to fig. 9, the apparatus includes: the apparatus comprises: the number of the processors 410 in the device may be one or more, one processor 410 is taken as an example in fig. 9, the processors 410, the memory 420, the input devices 430 and the output devices 440 in the device may be connected by a bus or in other manners, and the processor 410, the memory 420, the input devices 430 and the output devices 440 in the device are taken as an example in fig. 9.
The memory 420 serves as a computer-readable storage medium, and may be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the testing method of the lithium battery in the embodiment of the present invention. The processor 410 executes various functional applications and data processing of the device by executing the software programs, instructions and modules stored in the memory 420, that is, the method for testing the lithium battery according to the above embodiment is implemented.
The memory 420 mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 420 may further include memory located remotely from processor 410, which may be connected to devices through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 430 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the apparatus. The output device 440 may include a display device such as a display screen, and an audio device such as a speaker and a buzzer.
The device provided by the embodiment of the invention and the test method of the lithium battery provided by the embodiment belong to the same concept, technical details which are not described in detail in the embodiment can be referred to the embodiment, and the embodiment has the same beneficial effects of executing the test method of the lithium battery.
EXAMPLE five
Embodiments of the present invention further provide a storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for testing a lithium battery according to the above embodiments of the present invention.
Of course, the storage medium provided in the embodiments of the present invention includes computer-executable instructions, and the computer-executable instructions are not limited to the operations in the test method for a lithium battery described above, and may also perform related operations in the test method for a lithium battery provided in any embodiment of the present invention, and have corresponding functions and advantages.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, where the computer software product may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions to enable a computer device (which may be a robot, a personal computer, a server, or a network device) to execute the method for testing a lithium battery according to the foregoing embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A test method of a lithium battery is characterized by comprising the following steps:
obtaining a life attenuation model of the lithium battery under different charge states, storage temperatures and shelf time;
and fitting the life decay model to obtain the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time.
2. The method of claim 1, wherein the life decay model comprises a first life decay model and a second life decay model;
the first life decay model is:
lnQloss＝lna1+Zcal*lnt
wherein Q islossA1 is a user-defined variable, Z is the capacity loss rate of the lithium batterycalIs an influence factor corresponding to the shelf life, and t is the shelf life;
the second life decay model is:
wherein a2 is a custom variable, BcalIs the influence factor corresponding to the state of charge, T is the storage temperature, EcalIn order to store the influence factor corresponding to the temperature, R is a molar gas constant.
3. The method of claim 2, wherein said fitting said life decay model to obtain a calendar life of said lithium battery at corresponding states of charge, storage temperature, and shelf life comprises:
linearly fitting the first life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain an influence factor corresponding to the shelf time;
linearly fitting the second life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain an influence factor corresponding to the charge state and an influence factor corresponding to the storage temperature;
and determining the calendar life of the lithium battery under the corresponding state of charge, the storage temperature and the shelf time according to the influence factors corresponding to the shelf time, the state of charge and the storage temperature and by combining a calendar life calculation formula.
4. The method of claim 3, wherein the calendar life calculation formula is:
wherein, PcalFor capacity retention, BcalAs a factor corresponding to the state of charge, EcalFor storing the corresponding influencing factor of temperature, ZcalAnd R is a molar gas constant, T is a storage temperature, and T is the shelf time.
5. A test device for a lithium battery, comprising:
the service life attenuation model acquisition module is used for acquiring service life attenuation models of the lithium battery under different charge states, storage temperatures and shelf time;
and the fitting module is used for fitting the life decay model to obtain the calendar life of the lithium battery under the corresponding charge state, storage temperature and shelf time.
6. The apparatus of claim 5, wherein the life decay model comprises a first life decay model and a second life decay model;
the first life decay model is:
lnQloss＝lna1+Zcal*lnt
wherein Q islossA1 is a user-defined variable, Z is the capacity loss rate of the lithium batterycalIs an influence factor corresponding to the shelf life, and t is the shelf life;
the second life decay model is:
wherein a2 is a custom variable, BcalIs the influence factor corresponding to the state of charge, T is the storage temperature, EcalIn order to store the influence factor corresponding to the temperature, R is a molar gas constant.
7. The apparatus of claim 6, wherein the fitting module is specifically configured to:
linearly fitting the first life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain an influence factor corresponding to the shelf time;
linearly fitting the second life attenuation model according to the capacity loss rate of the lithium battery under different charge states, storage temperatures and shelf time to obtain an influence factor corresponding to the charge state and an influence factor corresponding to the storage temperature;
and determining the calendar life of the lithium battery under the corresponding state of charge, the storage temperature and the shelf time according to the influence factors corresponding to the shelf time, the state of charge and the storage temperature and by combining a calendar life calculation formula.
8. The apparatus of claim 7, wherein the calendar life calculation formula is:
wherein, PcalFor capacity retention, BcalAs a factor corresponding to the state of charge, EcalFor storing the corresponding influencing factor of temperature, ZcalAnd R is a molar gas constant, T is a storage temperature, and T is the shelf time.
9. An apparatus, comprising:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a method of testing a lithium battery as recited in any of claims 1-4.
10. A storage medium having stored thereon a computer program, characterized in that the program, when being executed by a processor, carries out a method for testing a lithium battery as claimed in any one of the claims 1 to 4.
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