CN114035097B - Method, system and storage medium for predicting life decay of lithium ion battery - Google Patents
Method, system and storage medium for predicting life decay of lithium ion battery Download PDFInfo
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- CN114035097B CN114035097B CN202111452653.XA CN202111452653A CN114035097B CN 114035097 B CN114035097 B CN 114035097B CN 202111452653 A CN202111452653 A CN 202111452653A CN 114035097 B CN114035097 B CN 114035097B
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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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- 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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention discloses a method, a system and a storage medium for predicting life decay of a lithium ion battery, which comprise the following steps: step one, collecting early actual measurement data: collecting T 1 Cycle decay data of lithium ion battery at temperature, including cycle number N 1 And attenuation rate k 1 The method comprises the steps of carrying out a first treatment on the surface of the Collecting T 2 Cycle decay data of lithium ion battery at temperature, including cycle number N 2 And attenuation rate k 2 The method comprises the steps of carrying out a first treatment on the surface of the Fitting a life decay formula: the collected measured data is imported into matlab software, the matlab software is fitted by adjusting Z values, and A values and B values are obtained by solving equations, so that a fitted life attenuation formula k=A x exp (-B/T) x N is obtained Z The method comprises the steps of carrying out a first treatment on the surface of the And thirdly, predicting the service life of the lithium ion battery according to a service life attenuation formula. The invention has the advantages of high accuracy, simplicity, easy operation, low cost and the like.
Description
Technical Field
The invention relates to the technical field of life of lithium ion batteries, in particular to a method, a system and a storage medium for predicting life decay of a lithium ion battery.
Background
In recent years, new energy automobiles are rapidly developed under the dual driving of policies and markets, and attention of people on the new energy automobiles is also increasing. Quality assurance is an important index of consumer care, and lithium ion battery life is a key factor affecting the quality assurance of new energy automobiles. Therefore, it is important to evaluate the life of the lithium ion battery.
At present, mathematical modeling is generally adopted for simulating the life prediction of the lithium ion battery in the industry, and the life prediction method of the lithium ion battery based on electrochemical reaction mechanism simulation is disclosed in CN106908737A, and predicts the life of the lithium ion battery through parameter measurement, model establishment, model calculation and output results.
Accordingly, there is a need for a method, system, and storage medium for lithium ion battery life decay prediction.
Disclosure of Invention
The invention aims to provide a method, a system and a storage medium for predicting the service life decay of a lithium ion battery, which have high accuracy, simplicity, easiness in operation and low cost,
the invention discloses a method for predicting life decay of a lithium ion battery, which comprises the following steps:
step one, collecting early actual measurement data: collecting T 1 Cycle decay data of lithium ion battery at temperature, including cycle number N 1 And attenuation rate k 1 Wherein N is 1 More than or equal to 500; collecting T 2 Cycle decay data of lithium ion battery at temperature, including cycle number N 2 And attenuation rate k 2 Wherein N is 2 ≥500；
Fitting a life decay formula: the life attenuation rate k, the temperature T and the cycle number N of the lithium ion battery meet the Arrhenius formula:
k＝A*exp(-B/T)*N Z (equation 1);
wherein: A. b is a constant and is irrelevant to temperature; t is the thermodynamic temperature, Z is related to the battery material;
number of cycles N 1 And attenuation rate k 1 Substituting into formula 1, we get:
k 1 ＝A*exp(-B/T 1 )*N 1 Z (equation 2);
number of cycles N 2 And attenuation rate k 2 Substituting into formula 1, we get:
k 2 ＝A*exp(-B/T 2 )*N 2 Z (equation 3);
let C 1 ＝A*exp(-B/T 1 ),C 2 ＝A*exp(-B/T 2 ) The measured data collected in the step 1 are imported into matlab software, and the matlab software is fitted by adjusting Z values, so that C with highest fitting degree is obtained 1 And C 2 Value, pass through matlab softwareObtaining an A value and a B value by solving an equation to obtain a fitted life attenuation formula k=A×exp (-B/T) ×N Z ；
And thirdly, predicting the service life of the lithium ion battery according to a service life attenuation formula.
Optionally, in the second step, when the lithium ion battery is a ternary battery, the Z value of the ternary battery is adjusted within a range of 0.8-1.0; when the lithium ion battery is a lithium iron phosphate battery, the Z value of the lithium ion battery is adjusted within the range of 0.5-0.7.
Optionally, the T 1 25 ℃, said T 2 45 ℃.
In a second aspect, the system for predicting the life decay of the lithium ion battery according to the invention comprises a memory and a controller, wherein a computer readable program is stored in the memory, and the computer readable program can execute the steps of the method for predicting the life decay of the lithium ion battery according to the invention when being called by the controller.
In a third aspect, the present invention provides a storage medium, which uses the steps of the method for predicting life decay of a lithium ion battery according to the present invention.
The invention has the following advantages: the invention has the advantages of high accuracy, simplicity, easy operation and low cost.
Drawings
FIG. 1 is a flow chart of the present embodiment;
FIG. 2 is a graph showing the predicted 25℃cycle life of the ternary battery of this example;
FIG. 3 is a graph showing the predicted 45℃cycle life of the ternary battery of this example;
FIG. 4 is a graph showing the predicted 25℃cycle life of the lithium iron phosphate battery of the present example;
fig. 5 is a graph showing the 45 ℃ cycle life prediction of the lithium iron phosphate battery in this example.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
As shown in fig. 1, in this embodiment, a method for predicting life decay of a lithium ion battery includes the following steps:
step one, collecting early actual measurement data: collecting T 1 Cycle decay data of lithium ion battery at temperature, including cycle number N 1 And attenuation rate k 1 Wherein N is 1 More than or equal to 500; collecting T 2 Cycle decay data of lithium ion battery at temperature, including cycle number N 2 And attenuation rate k 2 Wherein N is 2 ≥500。
Fitting a life decay formula: the life attenuation rate k, the temperature T and the cycle number N of the lithium ion battery meet the Arrhenius formula:
k＝A*exp(-B/T)*N Z (equation 1);
wherein: A. b is a constant and is irrelevant to temperature; t is the thermodynamic temperature, Z is related to the battery material;
number of cycles N 1 And attenuation rate k 1 Substituting into formula 1, we get:
k 1 ＝A*exp(-B/T 1 )*N 1 Z (equation 2);
number of cycles N 2 And attenuation rate k 2 Substituting into formula 1, we get:
k 2 ＝A*exp(-B/T 2 )*N 2 Z (equation 3);
let C 1 ＝A*exp(-B/T 1 ),C 2 ＝A*exp(-B/T 2 ) The measured data collected in the step 1 are imported into matlab software, and the matlab software is fitted by adjusting Z values, so that C with highest fitting degree is obtained 1 And C 2 The values, in matlab software, are obtained by solving the equations (i.e., through equations 2 and 3) to obtain the values a and B, thus obtaining the fitted life attenuation equation k=a×exp (-B/T) ×n Z 。
And thirdly, predicting the service life of the lithium ion battery according to a service life attenuation formula.
In the embodiment, when the lithium ion battery is a ternary battery, the Z value of the ternary battery is adjusted within the range of 0.8-1.0; when the lithium ion battery is a lithium iron phosphate battery, the Z value of the lithium ion battery is adjusted within the range of 0.5-0.7.
In this embodiment, the T 1 Is 25 DEG CThe T is 2 45 ℃.
The present embodiment is described in detail by way of the following examples:
example one:
step one, collecting lithium ion battery cycle attenuation data of the ternary battery A at 25 ℃ and 45 ℃.
Step two, the measured data collected in the step one is imported into matlab software, the fitting is carried out by adjusting Z values, the fitting degree is highest when Z=0.92, A=0.006999 and B= 1098.6488 are obtained in the matlab software by solving equations, and a fitted life attenuation formula k=0.006999 x exp (-1098.6488/T) x N can be obtained 0.92 。
And thirdly, predicting the service life of the lithium ion battery according to a service life attenuation formula, making a graph (see fig. 2 and 3), and comparing to find that the predicted result is very close to the actual measurement result and the accuracy is high.
Example two
Step one, collecting lithium ion battery cycle attenuation data of the lithium iron phosphate battery B at 25 ℃ and 45 ℃.
Step two, the measured data collected in the step one is imported into matlab software, the fitting is carried out by adjusting Z values, the fitting degree is highest when Z=0.56, A=0.885299569 and B= 1777.363909 are obtained in the matlab software by solving equations, and a fitted life attenuation formula k=0.885299569 x exp (-1777.363909/T) x N can be obtained 0.56 ；
And thirdly, predicting the service life of the lithium ion battery according to a service life attenuation formula, making a graph (see fig. 4 and 5), and comparing to find that the predicted result is very close to the actual measurement result and the accuracy is high.
In this embodiment, a system for predicting life degradation of a lithium ion battery includes a memory and a controller, where the memory stores a computer readable program, and the computer readable program when called by the controller can execute the steps of the method for predicting life degradation of a lithium ion battery as described in this embodiment.
In this embodiment, a storage medium employs the steps of the method for predicting life degradation of a lithium ion battery as described in this embodiment.
Claims (5)
1. A method for predicting life decay of a lithium ion battery, comprising the steps of:
step one, collecting early actual measurement data: collecting T 1 Cycle decay data of lithium ion battery at temperature, including cycle number N 1 And attenuation rate k 1 Wherein N is 1 More than or equal to 500; collecting T 2 Cycle decay data of lithium ion battery at temperature, including cycle number N 2 And attenuation rate k 2 Wherein N is 2 ≥500；
Fitting a life decay formula: the life attenuation rate k, the temperature T and the cycle number N of the lithium ion battery meet the Arrhenius formula:
k＝A*exp(-B/T)*N Z (equation 1);
wherein: A. b is a constant and is irrelevant to temperature; t is the thermodynamic temperature, Z is related to the battery material;
number of cycles N 1 And attenuation rate k 1 Substituting into formula 1, we get:
k 1 ＝A*exp(-B/T 1 )*N 1 Z (equation 2);
number of cycles N 2 And attenuation rate k 2 Substituting into formula 1, we get:
k 2 ＝A*exp(-B/T 2 )*N 2 Z (equation 3);
let C 1 ＝A*exp(-B/T 1 ),C 2 ＝A*exp(-B/T 2 ) The measured data collected in the step 1 are imported into matlab software, and the matlab software is fitted by adjusting Z values, so that C with highest fitting degree is obtained 1 And C 2 The values are obtained in matlab software by solving equations to obtain a value and a value B, namely a fitted life attenuation formula k=A.exp (-B/T) N is obtained Z ；
And thirdly, predicting the service life of the lithium ion battery according to a service life attenuation formula.
2. The method for predicting life decay of a lithium ion battery of claim 1, wherein: in the second step, when the lithium ion battery is a ternary battery, the Z value of the lithium ion battery is adjusted within the range of 0.8-1.0; when the lithium ion battery is a lithium iron phosphate battery, the Z value of the lithium ion battery is adjusted within the range of 0.5-0.7.
3. The method for predicting life decay of a lithium ion battery of claim 2, wherein: the T is 1 25 ℃, T 2 45 ℃.
4. A system for predicting life decay of a lithium ion battery, characterized by: comprising a memory and a controller, said memory having stored therein a computer readable program which when invoked by the controller is capable of performing the steps of the method of lithium ion battery life decay prediction according to any one of claims 1 to 3.
5. A storage medium, characterized by: a method of predicting the lifetime degradation of a lithium ion battery according to any one of claims 1 to 3.
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