CN117434453A - Method for detecting service life abnormality of lithium ion battery - Google Patents
Method for detecting service life abnormality of lithium ion battery Download PDFInfo
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- CN117434453A CN117434453A CN202311763710.5A CN202311763710A CN117434453A CN 117434453 A CN117434453 A CN 117434453A CN 202311763710 A CN202311763710 A CN 202311763710A CN 117434453 A CN117434453 A CN 117434453A
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- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 title claims abstract description 129
- 229910001416 lithium ion Inorganic materials 0.000 title claims abstract description 129
- 238000000034 method Methods 0.000 title claims description 27
- 230000005856 abnormality Effects 0.000 title claims description 10
- 230000002159 abnormal effect Effects 0.000 claims abstract description 16
- 238000007600 charging Methods 0.000 claims description 21
- 238000007599 discharging Methods 0.000 claims description 9
- 238000010280 constant potential charging Methods 0.000 claims description 5
- 230000001105 regulatory effect Effects 0.000 claims description 5
- 230000002238 attenuated effect Effects 0.000 claims description 3
- 230000001351 cycling effect Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract description 7
- 238000012360 testing method Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 2
- 238000010835 comparative analysis Methods 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000005184 irreversible process Methods 0.000 description 1
- 238000007620 mathematical function Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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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]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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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]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
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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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- General Physics & Mathematics (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
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Abstract
The invention provides a lithium ion battery life anomaly detection method, which comprises the steps of firstly calibrating coulomb efficiency of a target lithium ion battery to obtain two coulomb efficiency curves, further obtaining a modified equation of a first fitting curve and a modified equation of a second fitting curve, and then obtaining the coulomb efficiency y of the lithium ion battery of an electric automobile for the electric automobile loaded with the lithium ion battery with the same model as the target lithium ion battery s And the number of circulation turns, and obtaining the standard coulomb efficiency upper limit value y based on the number of circulation turns of the lithium ion battery of the electric automobile max And a standard coulombic efficiency lower limit y min If y is satisfied s ＞y max Or y s ＜y min Judging that the service life of the lithium ion battery of the electric automobile is abnormal and giving an early warning, the invention has the advantages of costLow cost and short time consumption.
Description
Technical Field
The invention relates to the technical field of lithium ion batteries, in particular to a method for detecting service life abnormality of a lithium ion battery.
Background
The electric automobile is the development direction in the automobile field, and the lithium ion battery is used as a key component of the electric automobile, so that the use experience of the electric automobile is directly influenced by the performance of the lithium ion battery. The service life of the lithium ion battery is one of important indexes of the battery, however, in the process of charging and discharging the lithium ion battery, the internal impedance, the output current and the like are changed due to irreversible processes in the battery, so that the loss of capacity and energy is caused, and the cycle service life of the battery is influenced.
In general, the cycle life of a lithium ion battery ends when the capacity of the lithium ion battery drops to 80% of the rated capacity. In the normal attenuation process of the lithium ion battery, the process is long, but the lithium ion battery can be subjected to complex and changeable working conditions and abuse in the circulation process, so that the circulation life reaches the end in advance, and the abnormal life condition of the lithium ion battery of the electric automobile is detected.
However, the existing method for detecting the service life abnormality of the lithium ion battery mostly needs precise test equipment and complex calculated amount, and has high detection cost and long time consumption.
Disclosure of Invention
The invention aims to provide a method for detecting the service life abnormality of a lithium ion battery, which aims to solve the problems of high detection cost and long time consumption in the prior art.
A lithium ion battery life abnormality detection method comprises the following steps:
step 1, calibrating the coulomb efficiency of a target lithium ion battery to obtain a first coulomb efficiency curve with the coulomb efficiency value more than 100% and a second coulomb efficiency curve with the coulomb efficiency value less than 100% in a target coordinate system, wherein the abscissa of the target coordinate system is the cycle number and the ordinate of the target coordinate system is the coulomb efficiency value;
step 2, carrying out logarithmic fitting on the first coulomb efficiency curve and the second coulomb efficiency curve respectively to obtain an equation of the first fitted curve and an equation of the second fitted curve;
step 3, when the correlation coefficient of the first coulomb efficiency curve and the second coulomb efficiency curve is not smaller than a preset value, correcting the coefficient of the equation of the first fitting curve and the coefficient of the equation of the second fitting curve to obtain a corrected equation of the first fitting curve and a corrected equation of the second fitting curve;
step 4, for the electric automobile loaded with the lithium ion battery of the same model as the target lithium ion battery, acquiring charge and discharge data of the electric automobile meeting preset conditions, and acquiring the coulomb efficiency y of the lithium ion battery of the electric automobile according to the charge and discharge data s Converting the driving mileage of the electric automobile into the cycle number of the lithium ion battery of the electric automobile;
step 5, substituting the cycle number of the lithium ion battery of the electric automobile into the equation of the corrected first fitting curve and the equation of the corrected second fitting curve to respectively obtain the standard coulomb efficiency upper limit value y max And a standard coulombic efficiency lower limit y min ；
Step 6, if y is satisfied s ＞y max Or y s ＜y min And judging that the service life of the lithium ion battery of the electric automobile is abnormal, and giving out an early warning.
According to the lithium ion battery life anomaly detection method provided by the invention, firstly, the target lithium ion battery is calibrated to obtain two coulomb efficiency curves, then, the equation of a corrected first fitting curve and the equation of a corrected second fitting curve are obtained, and then, for an electric automobile loaded with the lithium ion battery of the same model as the target lithium ion battery, the coulomb efficiency y of the lithium ion battery of the electric automobile is obtained s And the number of circulation turns, and obtaining the standard coulomb efficiency upper limit value y based on the number of circulation turns of the lithium ion battery of the electric automobile max And a standard coulombic efficiency lower limit y min If y is satisfied s ＞y max Or y s ＜y min According to the method, the device and the system, the cycle life of the lithium ion battery of the electric automobile reaches the end in advance, the abnormal life of the lithium ion battery of the electric automobile is judged, and the early warning is sent out, so that accurate test equipment and complex calculation amount are not needed, the target lithium ion battery is only required to be calibrated and calculated and fit, and then the lithium ion battery in the electric automobile is subjected to comparative analysis, the abnormal life detection of the lithium ion battery can be rapidly realized, the cost is low, the time consumption is short, and the safety of the electric automobile is improved.
In addition, the method for detecting the service life abnormality of the lithium ion battery, provided by the invention, has the following technical characteristics:
further, the step of calibrating the coulombic efficiency of the target lithium ion battery specifically includes:
step 1.1, regulating the temperature of a target lithium ion battery to 25 ℃, and standing for 120min;
step 1.2, the target lithium ion battery is used forThe constant current of the lithium ion battery is charged to the maximum termination voltage regulated by the target lithium ion battery, and then the constant voltage charging is carried out until the charging current is reduced to 0.02I 1 Stopping charging, standing for 5min, wherein I 1 Is the discharge rate current of the target lithium ion battery for 1 hour;
step 1.3, the target lithium ion battery is used forDischarging to the minimum termination voltage specified by the target lithium ion battery, and then standing for 5min;
step 1.4, charging the target lithium ion battery to the maximum end voltage of the target lithium ion battery allowed by the electric automobile in a constant current manner by using the average current of the electric automobile, turning into constant voltage charging, stopping charging when the charging current is reduced to the minimum charging current allowed by the electric automobile, and standing for 10min;
step 1.5, simulating the operation condition of the electric automobile, discharging a target lithium ion battery to the minimum termination voltage of the target lithium ion allowed by the electric automobile according to the average current multiplying power of the electric automobile, and standing for 10min;
step 1.6, taking the steps 1.4 to 1.5 as a circle of charge-discharge cycle, and carrying out 20 circles of charge-discharge cycle;
and step 1.7, cycling the steps 1.2-1.6 until the capacity of target lithium ions is attenuated to 80% of the rated capacity, recording the charge-discharge capacity of each circle of charge-discharge cycle, and calculating the coulomb efficiency of each circle of charge-discharge cycle.
Further, in step 2, the expression of the equation of the first fitting curve is:
y 1 =A 1 ×ln(x)+B 1 ；
wherein y is 1 The coulomb efficiency value corresponding to the first fitting curve is represented, x represents the cycle number, A 1 And B 1 Equation coefficients corresponding to the first fitting curve are represented;
the expression of the equation for the second fitted curve is:
y 2 =A 2 ×ln(x)+B 2 ；
wherein y is 2 Representing the coulomb efficiency value corresponding to the second fitting curve, A 2 And B 2 And representing equation coefficients corresponding to the second fitting curve.
Further, in step 3, the expression of the equation of the modified first fitting curve is:
y 1 =A 1 ×(1+0.5%)×ln(x)+B 1 ×(1+0.5%)；
the expression of the equation of the modified second fitted curve is:
y 2 =A 2 ×(1－0.5%)×ln(x)+B 2 ×(1－0.5%)。
further, in step 4, charge and discharge data of the electric vehicle satisfying the preset condition is obtained, and coulomb efficiency y of the lithium ion battery of the electric vehicle is obtained according to the charge and discharge data s The method specifically comprises the following steps:
acquiring charge and discharge data with the temperature interval of 20-30 ℃ and the SOC interval of more than 20% during charge and discharge, wherein the charge and discharge data comprise charge capacity and discharge capacity, and calculating the coulomb efficiency y of the lithium ion battery of the electric automobile according to the following formula s ：
y s =（C 1 /C 2 ）×100%；
Wherein C is 1 Represents discharge capacity, C 2 Indicating the charge capacity.
Further, in step 4, the formula for converting the driving range of the electric vehicle into the cycle number of the lithium ion battery of the electric vehicle is as follows:
x s =S 2 /S 1 ；
wherein x is s Representing electric steamCycle number S of lithium ion battery of vehicle 1 Represents the single maximum driving mileage of the electric automobile, S 2 Indicating the accumulated driving mileage of the electric automobile.
Further, the preset value is 90%.
Drawings
Fig. 1 is a flowchart of a method for detecting abnormal lifetime of a lithium ion battery according to an embodiment of the present invention;
FIG. 2 is an exemplary first and second coulombic efficiency curves.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an embodiment of the invention provides a method for detecting a lifetime abnormality of a lithium ion battery, which includes the following steps 1 to 6:
step 1, calibrating the coulomb efficiency of a target lithium ion battery to obtain a first coulomb efficiency curve with the coulomb efficiency value more than 100% and a second coulomb efficiency curve with the coulomb efficiency value less than 100% in a target coordinate system, wherein the abscissa of the target coordinate system is the cycle number and the ordinate of the target coordinate system is the coulomb efficiency value.
The method specifically comprises the steps of calibrating coulomb efficiency of a target lithium ion battery:
step 1.1, regulating the temperature of a target lithium ion battery to 25 ℃, and standing for 120min;
step 1.2, the target lithium ion battery is used forThe constant current of the lithium ion battery is charged to the maximum termination voltage specified by the target lithium ion battery, and then the constant voltage is charged to the charging powerThe flow is reduced to 0.02I 1 Stopping charging, standing for 5min, wherein I 1 Is the discharge rate current of the target lithium ion battery for 1 hour;
step 1.3, the target lithium ion battery is used forDischarging to the minimum termination voltage specified by the target lithium ion battery, and then standing for 5min;
step 1.4, charging the target lithium ion battery to the maximum end voltage of the target lithium ion battery allowed by the electric automobile in a constant current manner by using the average current of the electric automobile, turning into constant voltage charging, stopping charging when the charging current is reduced to the minimum charging current allowed by the electric automobile, and standing for 10min;
step 1.5, simulating the operation condition of the electric automobile, discharging a target lithium ion battery to the minimum termination voltage of the target lithium ion allowed by the electric automobile according to the average current multiplying power of the electric automobile, and standing for 10min;
step 1.6, taking the steps 1.4 to 1.5 as a circle of charge-discharge cycle, and carrying out 20 circles of charge-discharge cycle;
and step 1.7, cycling the steps 1.2-1.6 until the capacity of target lithium ions is attenuated to 80% of the rated capacity, recording the charge-discharge capacity of each circle of charge-discharge cycle, and calculating the coulomb efficiency of each circle of charge-discharge cycle.
Specifically, the charge-discharge capacity of each circle of charge-discharge cycle is obtained, the coulomb efficiency of each circle of charge-discharge cycle can be calculated, then a target coordinate system is drawn by taking the circle number of cycles as an abscissa and the coulomb efficiency value as an ordinate, and then the coulomb efficiency of each circle of charge-discharge cycle is drawn in the target coordinate system, so that a first coulomb efficiency curve with the coulomb efficiency value being more than 100% and a second coulomb efficiency curve with the coulomb efficiency value being less than 100% can be obtained, and an exemplary first coulomb efficiency curve and second coulomb efficiency curve are shown in fig. 2.
And 2, carrying out logarithmic fitting on the first coulomb efficiency curve and the second coulomb efficiency curve respectively to obtain an equation of the first fitting curve and an equation of the second fitting curve.
Wherein the expression of the equation of the first fitting curve is:
y 1 =A 1 ×ln(x)+B 1 ；
wherein y is 1 The coulomb efficiency value corresponding to the first fitting curve is represented, x represents the cycle number, A 1 And B 1 Equation coefficients corresponding to the first fitting curve are represented;
the expression of the equation for the second fitted curve is:
y 2 =A 2 ×ln(x)+B 2 ；
wherein y is 2 Representing the coulomb efficiency value corresponding to the second fitting curve, A 2 And B 2 And representing equation coefficients corresponding to the second fitting curve.
And 3, when the correlation coefficient of the first coulomb efficiency curve and the second coulomb efficiency curve is not smaller than a preset value, correcting the coefficient of the equation of the first fitting curve and the coefficient of the equation of the second fitting curve to obtain a corrected equation of the first fitting curve and a corrected equation of the second fitting curve.
The correction is to eliminate the difference between the calibration environment (mainly the calibration test instrument) of the lithium ion battery and the environment (mainly the acquisition equipment-BMS) of the battery core in the battery pack.
Preferably, the preset value is 90%.
The expression of the equation of the modified first fitted curve is:
y 1 =A 1 ×(1+0.5%)×ln(x)+B 1 ×(1+0.5%)；
the expression of the equation of the modified second fitted curve is:
y 2 =A 2 ×(1－0.5%)×ln(x)+B 2 ×(1－0.5%)。
it should be noted that, in implementation, if the correlation coefficient of the first coulomb efficiency curve and the second coulomb efficiency curve is less than 90%, then other mathematical function fitting (such as functions of an index, a polynomial, etc.) needs to be performed until the correlation coefficient is not less than 90%, and then coefficient correction of the corresponding function is performed.
Step 4, forIn an electric automobile loaded with a lithium ion battery of the same model as a target lithium ion battery, acquiring charge and discharge data of the electric automobile meeting preset conditions, and acquiring coulomb efficiency y of the lithium ion battery of the electric automobile according to the charge and discharge data s And converting the driving mileage of the electric automobile into the cycle number of the lithium ion battery of the electric automobile.
The method comprises the steps of obtaining charging and discharging data of an electric automobile meeting preset conditions, and obtaining coulomb efficiency y of a lithium ion battery of the electric automobile according to the charging and discharging data s The method specifically comprises the following steps:
acquiring charge and discharge data with the temperature interval of 20-30 ℃ and the SOC interval of more than 20% during charge and discharge, wherein the charge and discharge data comprise charge capacity and discharge capacity, and calculating the coulomb efficiency y of the lithium ion battery of the electric automobile according to the following formula s ：
y s =（C 1 /C 2 ）×100%；
Wherein C is 1 Represents discharge capacity, C 2 Indicating the charge capacity.
The formula for converting the driving mileage of the electric automobile into the cycle number of the lithium ion battery of the electric automobile is as follows:
x s =S 2 /S 1 ；
wherein x is s Represents the cycle number of the lithium ion battery of the electric automobile, S 1 Represents the single maximum driving mileage of the electric automobile, S 2 Indicating the accumulated driving mileage of the electric automobile.
Step 5, substituting the cycle number of the lithium ion battery of the electric automobile into the equation of the corrected first fitting curve and the equation of the corrected second fitting curve to respectively obtain the standard coulomb efficiency upper limit value y max And a standard coulombic efficiency lower limit y min 。
Step 6, if y is satisfied s ＞y max Or y s ＜y min And judging that the service life of the lithium ion battery of the electric automobile is abnormal, and giving out an early warning.
It should be noted that if y min ≤y s ≤y max Description is made of lithium ion battery of electric automobileThe cycle life is not terminated and the electric vehicle is continuously monitored.
In summary, according to the method for detecting the lifetime abnormality of the lithium ion battery provided in this embodiment, calibration of coulomb efficiency is performed on a target lithium ion battery to obtain two coulomb efficiency curves, and then a modified equation of a first fitting curve and a modified equation of a second fitting curve are obtained, and then, for an electric vehicle loaded with a lithium ion battery of the same model as the target lithium ion battery, the coulomb efficiency y of the lithium ion battery of the electric vehicle is obtained s And the number of circulation turns, and obtaining the standard coulomb efficiency upper limit value y based on the number of circulation turns of the lithium ion battery of the electric automobile max And a standard coulombic efficiency lower limit y min If y is satisfied s ＞y max Or y s ＜y min According to the method, the device and the system, the cycle life of the lithium ion battery of the electric automobile reaches the end in advance, the abnormal life of the lithium ion battery of the electric automobile is judged, and the early warning is sent out, so that accurate test equipment and complex calculation amount are not needed, the target lithium ion battery is only required to be calibrated and calculated and fit, and then the lithium ion battery in the electric automobile is subjected to comparative analysis, the abnormal life detection of the lithium ion battery can be rapidly realized, the cost is low, the time consumption is short, and the safety of the electric automobile is improved.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
Claims (7)
1. The method for detecting the service life abnormality of the lithium ion battery is characterized by comprising the following steps of:
step 1, calibrating the coulomb efficiency of a target lithium ion battery to obtain a first coulomb efficiency curve with the coulomb efficiency value more than 100% and a second coulomb efficiency curve with the coulomb efficiency value less than 100% in a target coordinate system, wherein the abscissa of the target coordinate system is the cycle number and the ordinate of the target coordinate system is the coulomb efficiency value;
step 2, carrying out logarithmic fitting on the first coulomb efficiency curve and the second coulomb efficiency curve respectively to obtain an equation of the first fitted curve and an equation of the second fitted curve;
step 3, when the correlation coefficient of the first coulomb efficiency curve and the second coulomb efficiency curve is not smaller than a preset value, correcting the coefficient of the equation of the first fitting curve and the coefficient of the equation of the second fitting curve to obtain a corrected equation of the first fitting curve and a corrected equation of the second fitting curve;
step 4, for the electric automobile loaded with the lithium ion battery of the same model as the target lithium ion battery, acquiring charge and discharge data of the electric automobile meeting preset conditions, and acquiring the coulomb efficiency y of the lithium ion battery of the electric automobile according to the charge and discharge data s Converting the driving mileage of the electric automobile into the cycle number of the lithium ion battery of the electric automobile;
step 5, substituting the cycle number of the lithium ion battery of the electric automobile into the equation of the corrected first fitting curve and the equation of the corrected second fitting curve to respectively obtain the standard coulomb efficiency upper limit value y max And a standard coulombic efficiency lower limit y min ；
Step 6, if y is satisfied s ＞y max Or y s ＜y min And judging that the service life of the lithium ion battery of the electric automobile is abnormal, and giving out an early warning.
2. The method for detecting abnormal life of a lithium ion battery according to claim 1, wherein the step of calibrating coulombic efficiency of the target lithium ion battery specifically comprises:
step 1.1, regulating the temperature of a target lithium ion battery to 25 ℃, and standing for 120min;
step 1.2, the target lithium ion battery is used forThe constant current of the lithium ion battery is charged to the maximum termination voltage regulated by the target lithium ion battery, and then the constant voltage charging is carried out until the charging current is reduced to 0.02I 1 Stopping charging, standing for 5min, wherein I 1 Is the discharge rate current of the target lithium ion battery for 1 hour;
step 1.3, the target lithium ion battery is used forDischarging to the minimum termination voltage specified by the target lithium ion battery, and then standing for 5min;
step 1.4, charging the target lithium ion battery to the maximum end voltage of the target lithium ion battery allowed by the electric automobile in a constant current manner by using the average current of the electric automobile, turning into constant voltage charging, stopping charging when the charging current is reduced to the minimum charging current allowed by the electric automobile, and standing for 10min;
step 1.5, simulating the operation condition of the electric automobile, discharging a target lithium ion battery to the minimum termination voltage of the target lithium ion allowed by the electric automobile according to the average current multiplying power of the electric automobile, and standing for 10min;
step 1.6, taking the steps 1.4 to 1.5 as a circle of charge-discharge cycle, and carrying out 20 circles of charge-discharge cycle;
and step 1.7, cycling the steps 1.2-1.6 until the capacity of target lithium ions is attenuated to 80% of the rated capacity, recording the charge-discharge capacity of each circle of charge-discharge cycle, and calculating the coulomb efficiency of each circle of charge-discharge cycle.
3. The method for detecting abnormal life of a lithium ion battery according to claim 1, wherein in the step 2, the expression of the equation of the first fitting curve is:
y 1 =A 1 ×ln(x)+B 1 ；
wherein y is 1 The coulomb efficiency value corresponding to the first fitting curve is represented, x represents the cycle number, A 1 And B 1 Equation coefficients corresponding to the first fitting curve are represented;
the expression of the equation for the second fitted curve is:
y 2 =A 2 ×ln(x)+B 2 ；
wherein y is 2 Representing the coulomb efficiency value corresponding to the second fitting curve, A 2 And B 2 And representing equation coefficients corresponding to the second fitting curve.
4. The method for detecting abnormal life of a lithium ion battery according to claim 3, wherein in step 3, the expression of the equation of the corrected first fitted curve is:
y 1 =A 1 ×(1+0.5%)×ln(x)+B 1 ×(1+0.5%)；
the expression of the equation of the modified second fitted curve is:
y 2 =A 2 ×(1－0.5%)×ln(x)+B 2 ×(1－0.5%)。
5. the method for detecting abnormal life of a lithium ion battery according to claim 1, wherein in step 4, charge and discharge data of an electric vehicle satisfying a preset condition is obtained, and coulomb efficiency y of a lithium ion battery of the electric vehicle is obtained according to the charge and discharge data s The method specifically comprises the following steps:
acquiring charge and discharge data with the temperature interval of 20-30 ℃ and the SOC interval of more than 20% during charge and discharge, wherein the charge and discharge data comprise charge capacity and discharge capacity, and calculating the coulomb efficiency y of the lithium ion battery of the electric automobile according to the following formula s ：
y s =（C 1 /C 2 ）×100%；
Wherein C is 1 Represents discharge capacity, C 2 Indicating the charge capacity.
6. The method for detecting abnormal life of a lithium ion battery according to claim 1, wherein in the step 4, a formula for converting a driving range of an electric vehicle into a number of cycles of the lithium ion battery of the electric vehicle is:
x s =S 2 /S 1 ；
wherein x is s Represents the cycle number of the lithium ion battery of the electric automobile, S 1 Represents the single maximum driving mileage of the electric automobile, S 2 Indicating the accumulated driving mileage of the electric automobile.
7. The method for detecting abnormal life of a lithium ion battery according to claim 1, wherein the preset value is 90%.
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