CN111580003A - Impedance spectrum-based secondary battery inconsistency identification method and apparatus - Google Patents
Impedance spectrum-based secondary battery inconsistency identification method and apparatus Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 75
- 238000001453 impedance spectrum Methods 0.000 title claims abstract description 31
- 238000012360 testing method Methods 0.000 claims abstract description 36
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims description 25
- 229910052744 lithium Inorganic materials 0.000 claims description 25
- 238000007599 discharging Methods 0.000 claims description 15
- 238000004321 preservation Methods 0.000 claims description 13
- 238000007600 charging Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 10
- 238000001566 impedance spectroscopy Methods 0.000 claims description 10
- 230000010287 polarization Effects 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 6
- 238000010277 constant-current charging Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract description 6
- 230000008569 process Effects 0.000 description 13
- 238000010586 diagram Methods 0.000 description 12
- 230000008859 change Effects 0.000 description 8
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 7
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 5
- 229910001416 lithium ion Inorganic materials 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 230000032683 aging Effects 0.000 description 3
- 230000003068 static effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000001052 transient effect Effects 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]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
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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]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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Abstract
The invention discloses a method and a device for identifying inconsistency of a secondary battery based on an impedance spectrum in the technical field of battery detection, and aims to solve the technical problems that the inconsistency of the secondary battery is limited in detection and the internal working state of a battery core is not sufficiently reflected in the prior art. The method comprises the following steps: carrying out constant potential EIS test on the secondary batteries with consistent charge states obtained in advance to obtain an impedance spectrum of the secondary batteries; fitting the impedance spectrum; the inconsistency of the secondary battery is identified based on the fitting result.
Description
Technical Field
The invention relates to a method and a device for identifying the inconsistency of a secondary battery based on an impedance spectrum, belonging to the technical field of battery detection.
Background
The same degree of parameters (voltage, charge state, temperature, capacity and its decay rate, self-discharge rate and its change rate with time, charge-discharge efficiency and its change rate with time, internal resistance and its change rate with time, etc.) of each single battery is called battery consistency when the battery pack or the battery module has or does not have energy (electric energy and heat energy) input and output. Due to differences in battery manufacturing raw materials, production parts, manufacturing processes, and use environments, when the individual batteries are combined into a battery pack, differences in the performance of the individual batteries inevitably occur, and the greater the number of the individual batteries involved in the combination, the greater the possibility of differences among the individual batteries. At present, a battery pack used for an electric bicycle is generally a series combination of a dozen or more single batteries. In the application of the electric automobile, the number of the battery cells is as large as hundreds or even thousands, so that the phenomenon of inconsistency among the battery cells is more obvious. The cycle life of the single batteries in the same batch can reach thousands of times, but when the single batteries are connected in series and in parallel to form a battery pack for use, the service life of the single batteries is only hundreds of times, which is a typical phenomenon caused by inconsistency. The inconsistency of the single batteries in the battery pack not only affects the correct judgment of the charge state, the health condition and the like of the battery pack, but also causes the capacity attenuation and the service life reduction of the battery pack, and even possibly causes safety problems. Generally, the optimum operating temperature of a lithium ion battery is generally 20 to 30 ℃, and the battery shows good consistency in this range, and when the battery operates in an extreme environment, the battery consistency is significantly deteriorated.
To solve the problem of inconsistency of lithium ion batteries in extreme environments, researchers propose two solutions: firstly, the state of the Battery cell in the Battery pack is monitored and managed through a Battery Management System (BMS), wherein the equalization is a commonly used means in the Battery Management process, and the state parameters of the Battery, such as the electric quantity and the voltage, and the like, are adjusted through the equalization System, so that the Battery cell in the same Battery pack can be maintained in a state with higher consistency. The method has two main disadvantages in the application process: the first is that the method can only adjust the cell state according to a certain criterion at present, and when a certain state of different cells is the same, the other states may not be the same. For example, the cell voltages in the same battery pack are adjusted to a certain same value by using the voltage as an equalization criterion, and the electric quantities of the cells may not be the same at this time. Secondly, the method can only be adjusted through measurable external parameters such as voltage, apparent SOC and the like, and the external parameters cannot completely reflect the internal working state (such as SOH and the like) of the battery core. And secondly, before the cells are grouped, the cells with similar parameters are sorted into groups through measurement and comparison of the parameters such as voltage, direct-current internal resistance, capacity and the like, so that the consistency of the cells in the grouped cell pack is improved. The method has three disadvantages, the first is that the method mainly detects the transient working condition of the battery core in the static state of the battery and only reflects simple parameters of the battery, so that the working condition of each stage in the actual operation process of the battery is not sufficiently reflected; secondly, the service environment of the battery in practical application of an energy storage system or an electric vehicle is complex, the battery needs to be connected in series and in parallel to reach a certain capacity, the working condition changes frequently, and the existing sorting method cannot meet the requirement of a complex system on the consistency of the battery after the battery is subjected to high-capacity grouping; and thirdly, the battery is damaged in the charging and discharging process under the extreme environment, even safety accidents happen in the severe case, and the battery sorting method based on the parameters such as capacity, SOC and the like needs to be subjected to the charging and discharging process, so that the method is not suitable for the battery consistency analysis when the battery is in the extreme environment such as high temperature and low temperature.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a method and a device for identifying the inconsistency of a secondary battery based on an impedance spectrum, so as to solve the technical problems that the inconsistency of the battery is limited to be detected and the internal working state of a battery core is not sufficiently reflected in the prior art.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a secondary battery inconsistency identification method based on impedance spectroscopy comprises the following steps:
carrying out constant potential EIS test on the secondary batteries with consistent charge states obtained in advance to obtain an impedance spectrum of the secondary batteries;
fitting the impedance spectrum;
the inconsistency of the secondary battery is identified based on the fitting result.
Further, the method for acquiring the secondary batteries with consistent states of charge comprises the following steps: and carrying out constant current charging or constant current discharging on the secondary battery according to a preset charging and discharging multiplying power, wherein the charging and discharging multiplying power comprises 0.25-1C.
Further, before the constant potential EIS test is performed on the secondary batteries with the same pre-acquired state of charge, the method further comprises the following steps: and placing the secondary batteries with consistent charge states in a constant temperature environment for heat preservation for a preset time, wherein the temperature of the constant temperature environment comprises-25-45 ℃.
Further, the preset time comprises 8-12 hours.
Further, before the constant potential EIS test is performed on the secondary batteries with the same pre-acquired state of charge, the method further comprises the following steps:
connecting the secondary battery which is kept warm for a preset time length to an electrochemical workstation;
and placing the secondary battery connected to the electrochemical workstation in a constant temperature environment for secondary heat preservation, wherein the duration of the secondary heat preservation comprises 15-60 minutes.
Further, constant potential EIS testing is performed on the secondary batteries with the same state of charge acquired in advance, and the constant potential EIS testing method comprises the following steps: the method comprises the following steps: and starting the electrochemical workstation, and scanning the secondary battery according to a preset frequency, wherein the frequency comprises 0.01-1000 Hz.
Further, the secondary battery is a battery module; a method of connecting a secondary battery to an electrochemical workstation, comprising: each cell is connected to an electrochemical workstation.
Further, fitting the impedance spectrum includes:
analyzing the impedance spectrum of the secondary battery to obtain an EIS parameter of the secondary battery;
and fitting the EIS parameters of the secondary battery based on the equivalent circuit model to obtain the key parameters of equivalent circuit elements in the equivalent circuit model corresponding to the secondary battery, wherein the key parameters comprise at least any one of ohmic internal resistance, inductance and electrochemical polarization internal resistance of the battery.
Further, identifying inconsistencies of the secondary battery based on the fitting results includes:
obtaining comparison parameters corresponding to the key parameters, wherein the comparison parameters comprise factory reference values or/and large sample test average values of the secondary battery;
and comparing the key parameters with the comparison parameters.
Further, the secondary battery includes a lithium battery.
In order to achieve the above object, the present invention also provides a computer processing control apparatus, comprising:
a memory: for storing instructions;
a processor: the method is used for operating according to the instructions to execute the steps of the impedance spectrum-based secondary battery inconsistency identification method provided by the invention.
To achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a method for identifying inconsistency of a secondary battery based on impedance spectroscopy provided by the present invention.
Compared with the prior art, the invention has the following beneficial effects: according to the method and the device, the alternating-current impedance is used as a main state basis for battery sorting, key parameters such as ohmic internal resistance, inductance and electrochemical polarization internal resistance of the battery are generated after an impedance spectrum is fitted, and then the key parameters are compared with a factory reference value or a large sample test average value of the battery, so that the internal working states of the battery cell such as battery aging and internal resistance change can be reflected. Because the battery can not be charged and discharged in the test process, only micro current disturbance is applied, and the battery damage and the safety risk caused by charging and discharging in an extreme environment can be avoided. The dynamic impedance change condition of the battery can be detected in the charging and discharging process of the battery, so that the dynamic working condition of the battery can be reflected. Based on the method and the device, the wiring unit is arranged in the battery, so that the state of each battery cell in the battery module can be tracked and monitored.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a graph of the impedance of a lithium iron phosphate battery at 5 ℃ in an example of the method of the present invention;
FIG. 3 is a graph of the impedance of a lithium iron phosphate battery at 5 ℃ in an example of the method of the present invention;
FIG. 4 is a graph of impedance of a ternary lithium battery at 5 ℃ in an example of the method of the invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The specific embodiment of the invention provides a method for identifying the inconsistency of a secondary battery based on an Impedance spectrum, which is used for detecting an alternating current Impedance spectrum (EIS) of the secondary battery as a main state basis and identifying the inconsistency of the secondary battery based on a fitting result on the basis of fitting the Impedance spectrum. As shown in fig. 1, is a schematic flow chart of the method of the present invention, which comprises the following steps:
step 1, performing constant current charging or constant current discharging on a secondary battery to be tested, wherein the charging and discharging multiplying power is 0.25-5C. In this embodiment, the secondary battery to be tested is a lithium battery. Generally, the closer the charge/discharge rate is selected to 0.25C, the slower the charge/discharge rate of the battery is, and the more the battery is likely to approach the equilibrium state. In the embodiment, the preferable charge-discharge rate is 0.25-1C, so that the charge states of the lithium batteries to be tested are consistent.
and 3, setting the high-low temperature test box to be in a constant temperature state, and in order to enable the detection temperature of the lithium battery to be detected to be more consistent with the temperature value of the lithium battery during actual work, in the embodiment, the temperature of the high-low temperature test box is set to be between 25 ℃ below zero and 45 ℃.
And 4, after the temperature of the high-low temperature test box is constant, placing the lithium battery to be tested in the high-low temperature test box, and keeping the temperature for 2-24 hours. The purpose of heat preservation is in order to make the lithium cell that awaits measuring reach preset detection temperature. The heat preservation time can be flexibly adjusted according to the size and the heat conductivity of the battery, generally, the larger the volume of the battery is, the worse the heat conductivity is, the longer the required heat preservation time is, and the preferable heat preservation time is 8-12 hours.
And 6, after the preset heat preservation time is reached, opening the door of the high and low temperature test box, connecting the working electrode of the electrochemical workstation with the anode of the lithium battery, connecting the auxiliary electrode and the reference electrode with the cathode of the lithium battery, and closing the door of the high and low temperature test box.
And 7, after the temperature of the high-low temperature test box is constant, preserving the heat of the lithium battery for 15-120 minutes. The purpose of carrying out secondary heat preservation on the lithium battery is to balance the temperature change inside the battery during the wiring operation of the lithium battery. In this embodiment, the secondary heat preservation time is preferably 15 to 60 minutes.
And 8, starting the electrochemical workstation, carrying out constant potential EIS test on the lithium battery, and scanning the impedance spectrum of each single battery in the lithium battery one by one. In this embodiment, the potential value is set as an open-circuit voltage, the amplitude of the sinusoidal voltage is 1-10 mV, and the scanning frequency is 0.01-1000 Hz. Wherein the voltage amplitude is determined according to the internal impedance characteristics of the battery, and generally, the larger the internal impedance of the battery is, the larger the selected voltage amplitude is. The lithium battery to be tested in the embodiment is a square hard shell lithium iron phosphate battery, and the voltage amplitude is preferably 5 mV. The scanning frequency for scanning each single battery is selected to be 0.01-1000 Hz, because the characteristic impedance distribution interval inside the lithium battery can be completely covered in the frequency band.
And 9, analyzing the impedance spectrum by adopting ZView software in the electrochemical workstation, drawing a graph and recording related EIS parameters of each single battery in the lithium battery.
And step 10, fitting the relevant EIS parameters of each single battery according to the equivalent circuit model, and intensively fitting to obtain key parameters such as ohmic internal resistance, inductance, electrochemical polarization internal resistance and the like of the battery of the equivalent circuit element in the equivalent circuit model. The ohmic internal resistance of the battery is the intercept between a first-stage semicircle of the fitting impedance spectrum and an abscissa axis, the inductance and the electrochemical polarization internal resistance are further fitted on the basis of the ohmic internal resistance of the battery, and the fitting error is required to be less than 5%.
Step 11, firstly, obtaining a comparison parameter corresponding to the key parameter, where the comparison parameter includes a factory reference value or/and a large sample test average value of each battery cell in the secondary battery. Whether it is a factory reference value or a large sample test average value, the test acquisition condition should be the same as or substantially the same as the detection acquisition condition of the key parameter in the present embodiment. And then comparing the key parameters with the comparison parameters, and distinguishing the inconsistency of the lithium battery according to the comparison result. The comparison process and the method for judging the inconsistency of the lithium battery according to the comparison result are conventional means in the field, and are not described herein again.
The method can solve four problems in the existing lithium ion battery sorting, which are respectively as follows: (1) the internal working state of the battery cell is not sufficiently reflected; (2) the dynamic working state of the battery cell is not sufficiently reflected; (3) the consistency of the complex system after the large capacity grouping cannot be reflected; (4) it is difficult to measure the operating state of the battery in extreme environments.
Aiming at the problem of insufficient reflection of the internal working state of the battery core, the method uses the alternating current impedance as a main state basis for sorting the lithium ion battery, and the battery aging condition, the internal resistance change condition and the like in the lithium ion battery are reflected by the alternating current impedance of the battery. For example, for batteries of the same type and different new and old states, the internal aging of the old battery is greater than that of the new battery (for example, the amount of active lithium, electrolyte impurities, SEI film thickness, etc.), so that the energy loss of the old battery during charging and discharging is large, and the energy loss is reflected in the form of internal resistance, so that the internal resistance of the old battery is also significantly higher than that of the new battery.
Aiming at the problem of insufficient reflection of the dynamic working condition of the battery core, the method of the invention is correspondingly improved. The conventional voltage method generally utilizes the static voltage of the battery to detect the battery state, but the method can detect the dynamic impedance change condition of the battery in the charging and discharging process of the battery, and reflects the internal performance of the battery in the dynamic working process according to the ohmic internal resistance and the polarization internal resistance of the battery, thereby realizing the good reflection of the dynamic working condition of the battery.
Aiming at the problem that the consistency of a complex system after a large capacity is grouped cannot be reflected, after the batteries are grouped, the method can arrange the wiring units at a plurality of positions in the battery module, and can track and monitor the state of each battery cell in the module.
Aiming at the problem that the working state of the battery is difficult to measure in the extreme environment, the method does not charge and discharge the battery in the test process, only applies micro current disturbance to the battery, and can avoid battery damage and safety risk caused by charging and discharging in the extreme environment.
The following describes the technical solution of the method of the present invention with reference to examples.
Example 1, 8 operating site-disassembled 40Ah lithium iron phosphate prismatic cells were connected to a charge and discharge tester, and the cells had differences in their consistency over the course of a year of on-site operation. Under this condition, we placed these 8 cells in a high and low temperature test chamber set at 5 ℃ and held for 5 hours. And then starting the electrochemical workstation, carrying out constant potential EIS test on the batteries, scanning impedance spectrums of the batteries one by one, setting a potential value as open-circuit voltage, setting the amplitude of sinusoidal voltage as 5mV and setting the scanning frequency as 0.01-1000 Hz. Specifically, as shown in fig. 2, it is an impedance diagram of the lithium iron phosphate battery at 5 ℃ in the embodiment of the method of the present invention. In fig. 2, the abscissa of the impedance spectrum is the real part impedance, and the ordinate is the imaginary part impedance. And respectively fitting the ohmic internal resistance, the polarization internal resistance and the capacitance of the battery No. 1-8. As can be seen from fig. 2, the ohmic internal resistance of battery No. 6 was much higher than that of the remaining batteries, and it was considered that this battery did not meet the uniformity requirement. The comparison of the remaining parameters may be repeated as described above.
Example 2, 8 operating site-disassembled 72Ah lithium iron phosphate prismatic cells were connected to a charge and discharge tester, and the cells had differences in their consistency over the entire year of on-site operation. Under this condition, we placed the 8 cells in a high and low temperature test chamber set at 5 ℃ and held for 8 hours. And then starting the electrochemical workstation, carrying out constant potential EIS test on the batteries, scanning impedance spectrums of the batteries one by one, setting a potential value as open-circuit voltage, setting the amplitude of sinusoidal voltage as 5mV and setting the scanning frequency as 0.01-1000 Hz. Specifically, as shown in fig. 3, it is an impedance diagram of the lithium iron phosphate battery at 5 ℃ in the embodiment of the method of the present invention. And respectively fitting the ohmic internal resistance, the polarization internal resistance and the capacitance of the battery No. 1-8. As can be seen from fig. 3, the ohmic internal resistance of battery No. 8 was much higher than that of the remaining batteries, and it was considered that the battery did not meet the uniformity requirement. The comparison of the remaining parameters may be repeated as described above.
Example 3, 8 newly shipped 5Ah cylindrical ternary lithium battery cells were connected to a charge and discharge tester. The 8 batteries were placed in a high and low temperature test chamber set at 5 ℃ and held for 24 hours. And then starting the electrochemical workstation, carrying out constant potential EIS test on the batteries, scanning impedance spectrums of the batteries one by one, setting a potential value as open-circuit voltage, setting the amplitude of sinusoidal voltage as 5mV and setting the scanning frequency as 0.01-1000 Hz. Specifically, as shown in fig. 4, it is an impedance diagram of the ternary lithium battery at 5 ℃ in the method embodiment of the present invention. And respectively fitting the ohmic internal resistance, the polarization internal resistance and the capacitance of the battery No. 1-8. As can be seen from fig. 4, the ohmic internal resistance of battery No. 7 was much higher than that of the remaining batteries, and it was considered that this battery did not meet the uniformity requirement. The comparison of the remaining parameters may be repeated as described above.
The embodiment of the present invention also provides a computer processing control apparatus, including:
a memory: for storing instructions;
a processor: the method is used for operating according to the instructions to execute the steps of the impedance spectrum-based secondary battery inconsistency identification method provided by the invention.
The embodiment of the present invention also provides a computer-readable storage medium on which a computer program is stored, which, when being executed by a processor, implements the steps of the impedance spectrum-based secondary battery inconsistency identifying method provided by the present invention.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (12)
1. A secondary battery inconsistency identification method based on impedance spectroscopy is characterized by comprising the following steps:
carrying out constant potential EIS test on the secondary batteries with consistent charge states obtained in advance to obtain an impedance spectrum of the secondary batteries;
fitting the impedance spectrum;
the inconsistency of the secondary battery is identified based on the fitting result.
2. The impedance spectroscopy-based secondary battery inconsistency identifying method according to claim 1, wherein the method for acquiring secondary batteries with consistent states of charge comprises: and carrying out constant current charging or constant current discharging on the secondary battery according to a preset charging and discharging multiplying power, wherein the charging and discharging multiplying power comprises 0.25-1C.
3. The impedance spectroscopy-based secondary battery inconsistency identifying method according to claim 1, further comprising, before the potentiostatic EIS test of the previously acquired secondary batteries with consistent states of charge: and placing the secondary batteries with consistent charge states in a constant temperature environment for heat preservation for a preset time, wherein the temperature of the constant temperature environment comprises-25-45 ℃.
4. The impedance spectroscopy-based secondary battery inconsistency identifying method according to claim 3, wherein the predetermined time period comprises 8 to 12 hours.
5. The impedance spectroscopy-based secondary battery inconsistency identifying method according to claim 3, further comprising, before the potentiostatic EIS test of the previously acquired secondary batteries with consistent states of charge:
connecting the secondary battery which is kept warm for a preset time length to an electrochemical workstation;
and placing the secondary battery connected to the electrochemical workstation in a constant temperature environment for secondary heat preservation, wherein the duration of the secondary heat preservation comprises 15-60 minutes.
6. The impedance spectroscopy-based secondary battery inconsistency identifying method according to claim 5, wherein the constant potential EIS test is performed on the secondary batteries of which the pre-acquired states of charge are consistent, and comprises: the method comprises the following steps: and starting the electrochemical workstation, and scanning the secondary battery according to a preset frequency, wherein the frequency comprises 0.01-1000 Hz.
7. The impedance spectrum-based secondary battery inconsistency identifying method according to claim 5, wherein the secondary battery is a battery module; a method of connecting a secondary battery to an electrochemical workstation, comprising: each cell is connected to an electrochemical workstation.
8. The impedance spectrum-based secondary battery inconsistency identifying method according to claim 1, wherein fitting the impedance spectrum comprises:
analyzing the impedance spectrum of the secondary battery to obtain an EIS parameter of the secondary battery;
and fitting the EIS parameters of the secondary battery based on the equivalent circuit model to obtain the key parameters of equivalent circuit elements in the equivalent circuit model corresponding to the secondary battery, wherein the key parameters comprise at least any one of ohmic internal resistance, inductance and electrochemical polarization internal resistance of the battery.
9. The impedance spectroscopy-based secondary battery inconsistency identifying method according to claim 8, wherein identifying the secondary battery inconsistency based on the fitting result comprises:
obtaining comparison parameters corresponding to the key parameters, wherein the comparison parameters comprise factory reference values or/and large sample test average values of the secondary battery;
and comparing the key parameters with the comparison parameters.
10. The impedance spectroscopy-based secondary battery inconsistency identifying method according to claim 1, wherein the secondary battery comprises a lithium battery.
11. Computer processing control device, characterized by, includes:
a memory: for storing instructions;
a processor: for operating in accordance with the instructions to perform the steps of the method of any one of claims 1 to 10.
12. Computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 10.
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| CN202010269298.1A CN111580003A (en) | 2020-04-08 | 2020-04-08 | Impedance spectrum-based secondary battery inconsistency identification method and apparatus |
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| CN202010269298.1A CN111580003A (en) | 2020-04-08 | 2020-04-08 | Impedance spectrum-based secondary battery inconsistency identification method and apparatus |
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