CN116559757B - Verification method and device for battery lithium-precipitation potential prediction accuracy and electronic equipment - Google Patents
Verification method and device for battery lithium-precipitation potential prediction accuracy and electronic equipment Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 62
- 238000001556 precipitation Methods 0.000 title claims abstract description 57
- 238000012795 verification Methods 0.000 title description 11
- 229910001416 lithium ion Inorganic materials 0.000 claims abstract description 333
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 claims abstract description 332
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 claims abstract description 79
- 229910052744 lithium Inorganic materials 0.000 claims abstract description 79
- 238000012360 testing method Methods 0.000 claims abstract description 26
- 230000008569 process Effects 0.000 claims abstract description 20
- 239000003792 electrolyte Substances 0.000 claims abstract description 17
- 239000000463 material Substances 0.000 claims abstract description 17
- 239000000126 substance Substances 0.000 claims abstract description 14
- 239000007773 negative electrode material Substances 0.000 claims abstract description 12
- 239000007774 positive electrode material Substances 0.000 claims abstract description 12
- 238000000926 separation method Methods 0.000 claims description 19
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 14
- 238000004458 analytical method Methods 0.000 claims description 14
- 239000010439 graphite Substances 0.000 claims description 14
- 229910002804 graphite Inorganic materials 0.000 claims description 14
- 239000002245 particle Substances 0.000 claims description 10
- 229910001290 LiPF6 Inorganic materials 0.000 claims description 6
- 239000004698 Polyethylene Substances 0.000 claims description 6
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 claims description 6
- -1 polyethylene Polymers 0.000 claims description 6
- 229920000573 polyethylene Polymers 0.000 claims description 6
- 239000010406 cathode material Substances 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 5
- 239000011163 secondary particle Substances 0.000 claims description 5
- 239000010405 anode material Substances 0.000 claims description 4
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical group [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 9
- 229910052782 aluminium Inorganic materials 0.000 description 9
- 238000004891 communication Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
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- 238000004445 quantitative analysis Methods 0.000 description 2
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
-
- 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
-
- 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]
- G01R31/385—Arrangements for measuring battery or accumulator variables
-
- 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
Abstract
The application provides a method and a device for verifying the prediction accuracy of a lithium-ion battery potential and electronic equipment, wherein the method comprises the following steps: determining a first lithium ion battery and a second lithium ion battery, wherein the chemical systems of the first lithium ion battery and the second lithium ion battery are the same, and the first lithium ion battery and the second lithium ion battery comprise the same positive electrode material, the same negative electrode material, the same diaphragm material and the same electrolyte; respectively charging the first lithium ion battery and the second lithium ion battery under a certain charging multiplying power, and detecting the potential of the battery cathode under different charge states in the charging process; and under the condition that the potential of the battery cathode is the lowest and lithium precipitation does not exist, comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery, wherein the closer the approaching degree is, the higher the accuracy of testing the first lithium ion battery to predict the lithium precipitation potential of the second lithium ion battery is. The application can effectively verify the accuracy of predicting the lithium-ion potential or the lithium-ion characteristic of one lithium-ion battery.
Description
Technical Field
The application mainly relates to the technical field of lithium ion battery lithium-ion potential test, in particular to a method and a device for verifying battery lithium-ion potential prediction accuracy and electronic equipment.
Background
The lithium ion battery is a battery with advanced technology and mainly comprises an anode, a cathode, a diaphragm and electrolyte. At present, research and development of new energy are focused worldwide, and lithium ion batteries have wide application prospects, and graphite is still an obstacle for preventing high-rate performance of commercial LIB (lithium ion battery, liquid lithium ion batteries). During charging, lithium ions migrate to the negative electrode and desirably intercalate into the layered structure of the graphite, but under the influence of high overpotential, lithium ions can also get electrons to be directly reduced to metallic lithium on the graphite surface, which usually occurs under high charging rates or low temperatures, resulting in rapid decay of electrochemical performance and thermal safety problems. However, to solve these problems, it is extremely important to determine the lithium-ion battery lithium-separating behavior.
The method for judging the lithium ion battery mainly comprises two major categories of nondestructive analysis and lossy analysis aiming at the lithium analysis behavior of the lithium ion battery. The nondestructive analysis is mainly performed by confirming the interface of the battery during disassembly. There are many kinds of nondestructive analysis such as lithium potential analysis by calorimetric method, charge-discharge voltage curve and three-electrode method, etc. For example, experiments such as high proud and the like select different graphite cathode materials to manufacture three-electrode soft package batteries, respectively Charge the three-electrode soft package batteries under the same multiplying power, and compare the Charge State (SOC) of the batteries when the cathode potential reaches 0V or the lowest potential. The battery charging process is improved by combining the experimental result, namely, the charging process adopts a current step-by-step decreasing mode, so that the whole charging time of the battery is ensured, the risk of lithium precipitation of the negative electrode at the final charging stage is reduced, and the battery performance is ensured. In another quantitative analysis method for lithium ion battery lithium precipitation based on a three-electrode system, the three-electrode battery is placed in an incubator for charge and discharge test, and whether the three-electrode battery is lithium precipitation is judged according to the potential platform change on the potential curve of the negative electrode to the reference electrode in the charge and discharge process, and quantitative analysis of lithium precipitation is carried out.
Although the technology of lithium-precipitation potential analysis by using three electrodes is not few, it is common to evaluate the lithium-precipitation risk of another battery with high capacity (such as an aluminum-shell battery) by preparing a battery with small capacity (such as a soft-pack battery), and therefore, the evaluation result is not necessarily accurate and reliable because the lithium-precipitation risk evaluation is performed on the other battery indirectly.
Disclosure of Invention
The application aims to solve the technical problem of providing a method, a device and electronic equipment for verifying the lithium-ion battery lithium-ion potential prediction accuracy, which can effectively verify the accuracy of predicting the lithium-ion potential or the lithium-ion battery lithium-ion characteristic of one lithium-ion battery.
In order to solve the technical problems, in a first aspect, the present application provides a method for verifying the accuracy of predicting the lithium-ion precipitation potential of a battery, including: determining a first lithium ion battery and a second lithium ion battery, wherein the chemical systems of the first lithium ion battery and the second lithium ion battery are the same, and the first lithium ion battery and the second lithium ion battery comprise the same anode material, the same cathode material, the same diaphragm material and the same electrolyte; respectively charging the first lithium ion battery and the second lithium ion battery under a certain charging multiplying power, and detecting the potentials of the negative electrodes of the batteries under different charge states in the charging process; comparing the proximity degree of the charge states of the first lithium ion battery and the second lithium ion battery when the potential of the battery cathode is the lowest and no lithium is separated, wherein the closer the proximity degree is, the higher the accuracy of testing the first lithium ion battery to predict the lithium separation potential of the second lithium ion battery is, and the proximity degree comprises the difference value or the ratio of the charge states of the first lithium ion battery and the second lithium ion battery; the closer the difference is to 0, the closer the state of charge is, or the closer the ratio is to 1, the closer the state of charge is.
Optionally, the first lithium ion battery is a soft package battery, and the second lithium ion battery is an aluminum shell battery.
Optionally, the positive electrode material is lithium iron phosphate, the negative electrode material is single-particle graphite or single-particle blended secondary particle graphite, the electrolyte is 1M LiPF6 (EC/DMC), and the diaphragm material is polyethylene.
Optionally, the battery capacity of the first lithium ion battery is smaller than the battery capacity of the second lithium ion battery.
Optionally, comparing the proximity of the states of charge of the first lithium ion battery and the second lithium ion battery at the time includes: and calculating the ratio of the current charge state of the first lithium ion battery to the current charge state of the second lithium ion battery.
Optionally, the charging rate includes: 0.6C, 0.8C, 1C, 1.4C, and/or 2C, the lithium-ion potential prediction accuracy including accuracy at the charging rates of 0.6C, 0.8C, 1C, 1.4C, and/or 2C, respectively.
Optionally, the method further comprises: under the condition that the potential of the battery cathode is the lowest and lithium precipitation does not exist, obtaining the maximum charging multiplying power of the first lithium ion battery and the second lithium ion battery under different charge states; performing nonlinear fitting on the maximum charging multiplying power under different charge states to obtain lithium separation windows of the first lithium ion battery and the second lithium ion battery; and comparing the charge states of the first lithium ion battery and the second lithium ion battery at the lithium separation window.
Optionally, comparing the proximity of the states of charge of the first lithium ion battery and the second lithium ion battery at the lithium analysis window comprises: and calculating the ratio of the current charge state of the first lithium ion battery to the current charge state of the second lithium ion battery.
In a second aspect, the present application provides a device for verifying the accuracy of prediction of lithium-ion potential of a battery, comprising: the determining module is used for determining a first lithium ion battery and a second lithium ion battery, wherein the chemical systems of the first lithium ion battery and the second lithium ion battery are the same, and the determining module comprises the same positive electrode material, the same negative electrode material, the same diaphragm material and the same electrolyte; the detection module is used for respectively charging the first lithium ion battery and the second lithium ion battery under a certain charging multiplying power and detecting the potential of the battery cathode under different charge states in the charging process; the first comparison module is used for comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery when the potential of the battery cathode is the lowest and no lithium is separated, and the closer the approaching degree is, the higher the accuracy of testing the first lithium ion battery to predict the lithium separation potential of the second lithium ion battery is, wherein the approaching degree comprises the difference value or the ratio of the charge states of the first lithium ion battery and the second lithium ion battery; the closer the difference is to 0, the closer the state of charge is, or the closer the ratio is to 1, the closer the state of charge is.
Optionally, the method further comprises: the acquisition module is used for acquiring the maximum charging multiplying power of the first lithium ion battery and the second lithium ion battery under different charge states under the condition that the potential of the battery cathode is the lowest and lithium precipitation does not exist; the fitting module is used for carrying out nonlinear fitting on the maximum charging multiplying power under different charge states to obtain lithium separation windows of the first lithium ion battery and the second lithium ion battery; and the second comparison module is used for comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery at the lithium separation window.
In a third aspect, the present application provides an electronic device, comprising: a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method of verifying battery lithium-precipitation potential prediction accuracy of the first aspect.
In a fourth aspect, the present application provides a readable storage medium having stored thereon a program or instructions which when executed by a processor performs the steps of the method of verifying battery lithium-ion potential prediction accuracy according to the first aspect.
Compared with the prior art, the application has the following advantages: firstly, determining a first lithium ion battery and a second lithium ion battery; respectively charging the first lithium ion battery and the second lithium ion battery under a certain charging multiplying power, and detecting the potential of the negative electrode of the battery under different charge states in the charging process; and finally, under the condition that the potential of the battery cathode is the lowest and lithium precipitation does not exist, comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery, and the closer the approaching degree is, the higher the accuracy of testing the first lithium ion battery to predict the lithium precipitation potential of the second lithium ion battery is, so that the accuracy of predicting the lithium precipitation potential or the lithium precipitation characteristic of the other lithium ion battery by the one lithium ion battery can be effectively verified.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the accompanying drawings:
FIG. 1 is a flow chart of a method for verifying the accuracy of a battery lithium-ion potential prediction according to an embodiment of the present application;
FIG. 2 is a graph of the soft pack battery at different states of charge (sample one) according to one embodiment of the present application;
FIG. 3 is a graph of the aluminum case cell at various states of charge (sample one) in an embodiment of the application;
FIG. 4 is a graph of the soft pack battery at different states of charge (sample two) according to an embodiment of the present application;
FIG. 5 is a graph of aluminum case cells at different states of charge (sample two) in an embodiment of the application;
FIG. 6 is a flow chart of a method for verifying the accuracy of battery lithium-ion potential prediction according to another embodiment of the present application;
FIG. 7 is a graph showing the maximum charge rate of a pouch cell at different states of charge according to an embodiment of the present application;
fig. 8 is a graph of maximum charge rate of an aluminum-shell battery at different states of charge in an embodiment of the application;
FIG. 9 is a schematic structural diagram of a device for verifying the accuracy of predicting the lithium-ion potential of a battery according to an embodiment of the present application;
FIG. 10 is a schematic structural diagram of a device for verifying the accuracy of prediction of lithium-ion potential of a battery according to another embodiment of the present application;
fig. 11 is a schematic diagram of an electronic device according to an embodiment of the application.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present application, and it is apparent to those of ordinary skill in the art that the present application may be applied to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.
As used in the specification and in the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.
In addition, the terms "first", "second", etc. are used to define the components, and are only for convenience of distinguishing the corresponding components, and the terms have no special meaning unless otherwise stated, and therefore should not be construed as limiting the scope of the present application. Furthermore, although terms used in the present application are selected from publicly known and commonly used terms, some terms mentioned in the present specification may be selected by the applicant at his or her discretion, the detailed meanings of which are described in relevant parts of the description herein. Furthermore, it is required that the present application is understood, not simply by the actual terms used but by the meaning of each term lying within.
A flowchart is used in the present application to describe the operations performed by a system according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in order precisely. Rather, the various steps may be processed in reverse order or simultaneously. At the same time, other operations are added to or removed from these processes.
Embodiment one: fig. 1 is a flowchart of a method for verifying accuracy of battery lithium-ion potential prediction according to an embodiment of the present application, and referring to fig. 1, a method 100 includes:
s110, determining a first lithium ion battery and a second lithium ion battery, wherein the chemical systems of the first lithium ion battery and the second lithium ion battery are the same, and the first lithium ion battery and the second lithium ion battery comprise the same anode material, the same cathode material, the same diaphragm material and the same electrolyte.
In this embodiment, the prediction of the lithium-out potential of a battery refers to that after a test is performed on one battery to obtain the lithium-out potential or the lithium-out characteristic of the battery, the test result of the battery is used to predict the lithium-out potential or the lithium-out characteristic of another battery. It can be appreciated that these two batteries have predictive or analog feasibility; on the other hand, since another battery is not directly tested, the indirect knowledge of the lithium-precipitation potential or the lithium-precipitation characteristic of another battery by testing the other battery is not certainly accurate, and thus, in order to understand the accuracy of this prediction mode, it is possible to verify this prediction mode.
For example, three electrodes are often used to predict the lithium-out risk of an aluminum-shell battery, in this embodiment, one lithium-ion battery needs to be tested for verification to predict the accuracy of the lithium-out potential or lithium-out characteristics of another lithium-ion battery, and therefore the first lithium-ion battery (direct test battery) and the second lithium-ion battery (predictive battery) need to be determined. The first lithium ion battery is a battery to be tested in a three-electrode test, and the test result is used for predicting the lithium precipitation potential or the lithium precipitation characteristic of the second lithium ion battery.
In this embodiment, in order to ensure that the verification result is as objective and effective as possible, the chemical systems of the first lithium ion battery and the second lithium ion battery are the same, including the same positive electrode material, the same negative electrode material, the same separator material and the same electrolyte, that is, in order to verify that the accuracy of the second lithium ion battery can be well predicted by the first lithium ion battery, the chemical systems of the two batteries are the same except that the sizes (capacities) are different.
In one example, the first lithium ion battery is a pouch battery and the second lithium ion battery is an aluminum-shell battery. For example, the technology of analyzing lithium-separating potential by using three electrodes is not few, and usually, lithium-separating risks of an aluminum shell battery are evaluated by preparing a soft-pack battery, and in this embodiment, the first lithium ion battery is a soft-pack battery, and the second lithium ion battery is an aluminum shell battery, so that most application scenarios can be satisfied by the verification method.
In an example, the chemical systems of the first lithium ion battery and the second lithium ion battery are the same, wherein the positive electrode material is lithium iron phosphate, the negative electrode material is single-particle graphite or single-particle mixed secondary particle graphite, the electrolyte is 1m LiPF6 (EC/DMC), and the membrane material is polyethylene. Other auxiliary materials and the dosage proportion are the same.
In one example, the battery capacity of the first lithium ion battery is less than the battery capacity of the second lithium ion battery. For example, the lithium separation risk of a high-capacity aluminum-shell battery is generally evaluated by preparing a small-capacity soft-pack battery, for example, after the soft-pack battery and the aluminum-shell battery select the same chemical system, the capacity of the soft-pack battery is 2Ah, and the capacity of the aluminum-shell battery is 150Ah.
And S120, respectively charging the first lithium ion battery and the second lithium ion battery under a certain charging multiplying power, and detecting the potentials of the battery cathodes under different charge states in the charging process.
After being charged to a certain extent, the potential of the negative electrode can drop below 0V (relative to Li/Li+), and lithium can be separated out from the surface of the negative electrode, so that the safety and the cycle life of the battery are affected. In order to monitor the voltage between the positive electrode and the negative electrode corresponding to the condition that the negative electrode starts to deposit lithium (the potential of the negative electrode is reduced to 0V relative to the potential of Li/Li < + >), a basis is provided for designing a charging method, and a three-electrode battery is commonly used for monitoring the potential of the positive electrode and the negative electrode during lithium deposit.
In one example, the charge rates include 0.6C, 0.8C, 1C, 1.4C, and/or 2C, and the lithium-ion potential prediction accuracy includes an accuracy at the charge rates of 0.6C, 0.8C, 1C, 1.4C, and/or 2C, respectively. For example, the first lithium ion battery and the second lithium ion battery may be charged under a charging rate of 0.6C, and the potentials of the battery cathodes in different charge states in the charging process may be detected, or the first lithium ion battery and the second lithium ion battery may be charged under a charging rate of 1C, and the potentials of the battery cathodes in different charge states in the charging process may be detected. The detection of the other charging rates is not described in detail herein.
S130, comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery when the potential of the battery cathode is the lowest and no lithium is separated, wherein the approaching degree comprises the difference value or the ratio of the charge states of the first lithium ion battery and the second lithium ion battery when the first lithium ion battery and the second lithium ion battery are more close, and the accuracy of testing the first lithium ion battery to predict the lithium separation potential of the second lithium ion battery is higher; the closer the difference is to 0, the closer the state of charge is, or the closer the ratio is to 1, the closer the state of charge is.
In an example, comparing the proximity of the states of charge of the first lithium ion battery and the second lithium ion battery at this time may be calculating a ratio of the current state of charge of the first lithium ion battery to the current state of charge of the second lithium ion battery, where a ratio of closer to 1 or 100% indicates a higher accuracy in testing the first lithium ion battery to predict the lithium precipitation potential of the second lithium ion battery.
For example, as shown in fig. 2 and 3, if the first sample (B1) is used to manufacture a soft-pack battery and an aluminum-shell battery, respectively, the positive electrode material is lithium iron phosphate, the negative electrode material is single-particle mixed secondary particle graphite, the electrolyte is 1m LiPF6 (EC/DMC), and the separator material is polyethylene. Taking the charging rate of 1C as an example, it is known that the maximum SOC of the soft-pack battery is about 80%, and the maximum SOC of the aluminum-shell battery is 72%, that is, the accuracy of predicting the lithium-precipitation potential or the lithium-precipitation characteristic of the aluminum-shell battery is about 90%.
In another example, as shown in fig. 4 and 5, if the second sample (B2) is used to manufacture a soft-pack battery and an aluminum-shell battery, respectively, the positive electrode material is lithium iron phosphate, the negative electrode material is single-particle graphite, the electrolyte is 1m LiPF6 (EC/DMC), and the separator material is polyethylene. Taking the charging rate of 1C as an example, it is known that the maximum SOC of the soft pack battery is about 75%, and the maximum SOC of the aluminum case battery is 72%, that is, the accuracy of predicting the lithium-precipitation potential or the lithium-precipitation characteristic of the aluminum case battery is about 96%.
When the test is performed under different charging rates, for example, the battery is charged by selecting different charging rates of 0.6C, 0.8C, 1C, 1.4C and 2C, and the negative electrode potential is detected, the obtained results are shown in fig. 2 to 5, and it is known that the accuracy of other charging rates (0.6C, 0.8C, 1.4C and 2C) under the same chemical system is greater than 90%, which is not described herein.
The method for verifying the lithium-ion potential prediction accuracy of the battery comprises the steps of firstly determining a first lithium ion battery and a second lithium ion battery; respectively charging the first lithium ion battery and the second lithium ion battery under a certain charging multiplying power, and detecting the potential of the negative electrode of the battery under different charge states in the charging process; and finally, under the condition that the potential of the battery cathode is the lowest and lithium precipitation does not exist, comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery, and the closer the approaching degree is, the higher the accuracy of testing the first lithium ion battery to predict the lithium precipitation potential of the second lithium ion battery is, so that the accuracy of predicting the lithium precipitation potential or the lithium precipitation characteristic of the other lithium ion battery by the one lithium ion battery can be effectively verified.
Embodiment two: fig. 6 is a flowchart of a method for verifying accuracy of battery lithium-ion potential prediction according to another embodiment of the present application, and referring to fig. 6, a method 600 includes:
s110, determining a first lithium ion battery and a second lithium ion battery, wherein the chemical systems of the first lithium ion battery and the second lithium ion battery are the same, and the first lithium ion battery and the second lithium ion battery comprise the same anode material, the same cathode material, the same diaphragm material and the same electrolyte. The foregoing details of this step are not repeated here.
And S120, respectively charging the first lithium ion battery and the second lithium ion battery under a certain charging multiplying power, and detecting the potentials of the battery cathodes under different charge states in the charging process. The foregoing details of this step are not repeated here.
And S130, comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery when the potential of the battery cathode is the lowest and lithium precipitation does not exist, wherein the closer the approaching degree is, the higher the accuracy of testing the first lithium ion battery to predict the lithium precipitation potential of the second lithium ion battery is. The foregoing details of this step are not repeated here.
And S610, obtaining the maximum charging multiplying power of the first lithium ion battery and the second lithium ion battery under different charge states under the condition that the potential of the battery cathode is the lowest and lithium precipitation does not exist.
For example, when the state of charge is 5%, the test yields the maximum charge rate when the potential of the battery anode is the lowest and no lithium deposition is present, when the state of charge is 10%, the test yields the maximum charge rate when the potential of the battery anode is the lowest and no lithium deposition is present, and when the state of charge is 20%, the test yields the maximum charge rate when the potential of the battery anode is the lowest and no lithium deposition is present, and similarly, the maximum charge rates when the states of charge are 30%, 40%, 50%, 60%, 70%, 80%, 90%, and 100%, respectively, may also be obtained.
And S620, performing nonlinear fitting on the maximum charging multiplying power under different charge states to obtain lithium separation windows of the first lithium ion battery and the second lithium ion battery.
In this embodiment, the maximum charging rates corresponding to different charge states can be obtained by linear fitting extrapolation, and then the lithium precipitation window of the battery or the battery core can be obtained according to the fitted curve.
S630, comparing the charge states of the first lithium ion battery and the second lithium ion battery at the lithium separation window.
In an example, comparing the proximity of the states of charge of the first lithium ion battery and the second lithium ion battery at the lithium-ion separation window may be calculating a ratio of the current state of charge of the first lithium ion battery to the current state of charge of the second lithium ion battery. The closer the ratio is to 1 or 100% the higher the accuracy with which the first lithium ion battery is tested to predict the lithium precipitation potential of the second lithium ion battery.
Referring to fig. 7 and 8, wherein the black dots represent sample one (B1) and the gray dots represent sample two (B2). By comparison, the aluminum shell battery completely meets the test condition when the charging rate is 1C (the potential of the negative electrode is greater than 0V when the charging rate is 100% SOC, and the lithium precipitation risk does not exist), the maximum SOC is 95% when the charging rate of the soft package battery is 1C, and the accuracy of predicting the lithium precipitation window of the 150Ah aluminum shell battery for the 2Ah soft package battery at the charging rate of 1C is about 95%. Accuracy at other rates can also be achieved in a similar manner.
Further details of the operations performed by the steps in this embodiment may be referred to in the first embodiment, and will not be further described herein.
According to the verification method for the lithium precipitation potential prediction accuracy of the battery, the maximum charging multiplying power of the first lithium ion battery and the second lithium ion battery under different charge states is further obtained under the condition that the potential of the negative electrode of the battery is the lowest and lithium precipitation does not exist; performing nonlinear fitting on the maximum charging multiplying power under different charge states to obtain lithium separation windows of the first lithium ion battery and the second lithium ion battery; the accuracy of predicting the lithium-ion potential or the lithium-ion characteristic of the other lithium ion battery at the lithium-ion window can be effectively verified by comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery at the lithium-ion window.
Embodiment III: fig. 9 is a schematic structural diagram of a device for verifying accuracy of prediction of lithium-ion potential of a battery according to an embodiment of the present application, where the device 900 mainly includes:
the determining module 901 is configured to determine a first lithium ion battery and a second lithium ion battery, where chemical systems of the first lithium ion battery and the second lithium ion battery are the same, and the first lithium ion battery and the second lithium ion battery include the same positive electrode material, the same negative electrode material, the same separator material and the same electrolyte.
In one example, the first lithium ion battery is a pouch battery and the second lithium ion battery is an aluminum-shell battery.
In one example, the positive electrode material is lithium iron phosphate, the negative electrode material is single-particle graphite or single-particle mixed secondary particle graphite, the electrolyte is 1M LiPF6 (EC/DMC), and the separator material is polyethylene.
In one example, the battery capacity of the first lithium ion battery is less than the battery capacity of the second lithium ion battery.
The detection module 902 is configured to charge the first lithium ion battery and the second lithium ion battery respectively under a certain charging rate, and detect potentials of negative electrodes of the batteries under different charge states in a charging process.
In an example, the charging magnification may include: the lithium analysis potential prediction accuracy includes accuracy at a charging rate of 0.6C, 0.8C, 1C, 1.4C, and/or 2C, respectively.
A first comparing module 903, configured to compare, when the potential of the negative electrode of the battery is the lowest and no lithium precipitation exists, the approaching degree of the states of charge of the first lithium ion battery and the second lithium ion battery at this time, where the approaching degree includes a difference value or a ratio of the states of charge of the first lithium ion battery and the second lithium ion battery at this time, and the closer the approaching degree is, the higher the accuracy of testing the first lithium ion battery to predict the lithium precipitation potential of the second lithium ion battery; the closer the difference is to 0, the closer the state of charge is, or the closer the ratio is to 1, the closer the state of charge is.
In one example, comparing the proximity of the states of charge of the first lithium ion battery and the second lithium ion battery at that time includes: and calculating the ratio of the current state of charge of the first lithium ion battery to the current state of charge of the second lithium ion battery.
Details of other operations performed by the modules in this embodiment may refer to the first embodiment, and will not be further described herein.
The verification device for predicting the lithium-ion potential of the battery provided by the embodiment comprises the following steps of firstly determining a first lithium ion battery and a second lithium ion battery; respectively charging the first lithium ion battery and the second lithium ion battery under a certain charging multiplying power, and detecting the potential of the negative electrode of the battery under different charge states in the charging process; and finally, under the condition that the potential of the battery cathode is the lowest and lithium precipitation does not exist, comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery, and the closer the approaching degree is, the higher the accuracy of testing the first lithium ion battery to predict the lithium precipitation potential of the second lithium ion battery is, so that the accuracy of predicting the lithium precipitation potential or the lithium precipitation characteristic of the other lithium ion battery by the one lithium ion battery can be effectively verified.
Embodiment four: fig. 10 is a schematic structural diagram of a device for verifying accuracy of prediction of lithium-ion potential of a battery according to another embodiment of the present application, where the device 1000 mainly includes:
the determining module 901 is configured to determine a first lithium ion battery and a second lithium ion battery, where chemical systems of the first lithium ion battery and the second lithium ion battery are the same, and the first lithium ion battery and the second lithium ion battery include the same positive electrode material, the same negative electrode material, the same separator material and the same electrolyte.
The detection module 902 is configured to charge the first lithium ion battery and the second lithium ion battery respectively under a certain charging rate, and detect potentials of negative electrodes of the batteries under different charge states in a charging process.
The first comparing module 903 is configured to compare the proximity of the states of charge of the first lithium ion battery and the second lithium ion battery when the potential of the negative electrode of the battery is the lowest and no lithium precipitation exists, and the closer the first lithium ion battery is, the higher the accuracy of testing the first lithium ion battery to predict the lithium precipitation potential of the second lithium ion battery is.
And the obtaining module 1001 is configured to obtain maximum charging rates of the first lithium ion battery and the second lithium ion battery in different states of charge when the potential of the battery negative electrode is the lowest and no lithium precipitation exists.
And a fitting module 1002, configured to perform nonlinear fitting on the maximum charging rates under different charge states, so as to obtain lithium separation windows of the first lithium ion battery and the second lithium ion battery.
A second comparing module 1003, configured to compare the proximity of the states of charge of the first lithium ion battery and the second lithium ion battery at the lithium analysis window.
In an example, comparing the proximity of the states of charge of the first lithium ion battery and the second lithium ion battery at the lithium analysis window includes: and calculating the ratio of the current state of charge of the first lithium ion battery to the current state of charge of the second lithium ion battery.
Details of other operations performed by the modules in this embodiment may refer to the second embodiment, and will not be further described herein.
According to the verification device for the lithium precipitation potential prediction accuracy of the battery, the maximum charging multiplying power of the first lithium ion battery and the second lithium ion battery under different charge states is further obtained under the condition that the potential of the negative electrode of the battery is the lowest and lithium precipitation does not exist; performing nonlinear fitting on the maximum charging multiplying power under different charge states to obtain lithium separation windows of the first lithium ion battery and the second lithium ion battery; the accuracy of predicting the lithium-ion potential or the lithium-ion characteristic of the other lithium ion battery at the lithium-ion window can be effectively verified by comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery at the lithium-ion window.
The verification device for the lithium-ion battery potential prediction accuracy in the embodiment of the application can be a device, and can also be a component, an integrated circuit or a chip in a terminal. The verification device for the lithium-ion battery potential prediction accuracy in the embodiment of the application can be a device with an operating system. The operating system may be an android operating system, an iOS operating system, or other possible operating systems, and the embodiment of the present application is not limited specifically.
The application also provides an electronic device, comprising: a memory for storing programs or instructions executable by the processor; and a processor, configured to execute the program or the instruction to implement each process of the embodiment of the method for verifying the accuracy of lithium-ion battery potential prediction, and achieve the same technical effect, so that repetition is avoided, and no description is repeated here.
Fig. 11 is a schematic diagram of an electronic device according to an embodiment of the application. The electronic device 1100 may include an internal communication bus 1101, a Processor (Processor) 1102, a Read Only Memory (ROM) 1103, a Random Access Memory (RAM) 1104, and a communication port 1105. When implemented on a personal computer, the electronic device 1100 may also include a hard disk 1106. The internal communication bus 1101 may enable data communication among the components of the electronic device 1100. The processor 1102 may make the determination and issue a prompt. In some implementations, the processor 1102 may be comprised of one or more processors. The communication port 1105 may enable the electronic device 1100 to communicate data with the outside. In some implementations, the electronic device 1100 may send and receive information and data from a network through the communication port 1105. The electronic device 1100 may also include various forms of program storage elements and data storage elements such as hard disk 1106, read-only memory (ROM) 1103, and Random Access Memory (RAM) 1104, capable of storing various data files for computer processing and/or communication, as well as possible programs or instructions for execution by the processor 1102. The results processed by the processor 1102 are communicated to the user device via the communication port 1105 for display on a user interface.
The above-described method for verifying the accuracy of the battery lithium-ion potential prediction may be implemented as a computer program, stored in the hard disk 1106, and executed by the processor 1102 to implement any of the methods for verifying the accuracy of the battery lithium-ion potential prediction according to the present application.
The embodiment of the application also provides a readable storage medium, and the readable storage medium stores a program or an instruction, which when executed by a processor, realizes each process of the above-mentioned verification method embodiment of the lithium-ion battery potential prediction accuracy, and can achieve the same technical effect, so that repetition is avoided, and no redundant description is provided herein.
The processor is a processor in the electronic device in the above embodiment. The readable storage medium includes a computer readable storage medium such as a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk.
It will be apparent to those skilled in the art that the foregoing disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements and adaptations of the application may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within the present disclosure, and therefore, such modifications, improvements, and adaptations are intended to be within the spirit and scope of the exemplary embodiments of the present disclosure.
Meanwhile, the present application uses specific words to describe embodiments of the present application. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the application. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the application may be combined as suitable.
Some aspects of the application may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.) or by a combination of hardware and software. The above hardware or software may be referred to as a "data block," module, "" engine, "" unit, "" component, "or" system. The processor may be one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital signal processing devices (DAPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or a combination thereof. Furthermore, aspects of the application may take the form of a computer product, comprising computer-readable program code, embodied in one or more computer-readable media. For example, computer-readable media can include, but are not limited to, magnetic storage devices (e.g., hard disk, floppy disk, tape … …), optical disk (e.g., compact disk CD, digital versatile disk DVD … …), smart card, and flash memory devices (e.g., card, stick, key drive … …).
Similarly, it should be noted that in order to simplify the description of the present disclosure and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure, however, is not intended to imply that more features than are required by the subject application. Indeed, less than all of the features of a single embodiment disclosed above.
In some embodiments, numbers describing the components, number of attributes are used, it being understood that such numbers being used in the description of embodiments are modified in some examples by the modifier "about," approximately, "or" substantially. Unless otherwise indicated, "about," "approximately," or "substantially" indicate that the number allows for a 20% variation. Accordingly, in some embodiments, numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by the individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and employ a method for preserving the general number of digits. Although the numerical ranges and parameters set forth herein are approximations in some embodiments for use in determining the breadth of the range, in particular embodiments, the numerical values set forth herein are as precisely as possible.
While the application has been described with reference to the specific embodiments presently, it will be appreciated by those skilled in the art that the foregoing embodiments are merely illustrative of the application, and various equivalent changes and substitutions may be made without departing from the spirit of the application, and therefore, all changes and modifications to the embodiments are intended to be within the scope of the appended claims.
Claims (12)
1. The method for verifying the prediction accuracy of the lithium-ion precipitation potential of the battery is characterized by comprising the following steps of:
determining a first lithium ion battery and a second lithium ion battery, wherein the chemical systems of the first lithium ion battery and the second lithium ion battery are the same, and the first lithium ion battery and the second lithium ion battery comprise the same anode material, the same cathode material, the same diaphragm material and the same electrolyte;
respectively charging the first lithium ion battery and the second lithium ion battery under a certain charging multiplying power, and detecting the potentials of the negative electrodes of the batteries under different charge states in the charging process;
comparing the closeness degree of the charge states of the first lithium ion battery and the second lithium ion battery when the potential of the battery cathode is the lowest and lithium precipitation does not exist, wherein the closer the closeness degree is, the higher the accuracy of testing the first lithium ion battery to predict the lithium precipitation potential of the second lithium ion battery is;
wherein the proximity comprises a difference or ratio of states of charge of the first lithium ion battery and the second lithium ion battery at the time; the closer the difference is to 0, the closer the state of charge is, or the closer the ratio is to 1, the closer the state of charge is.
2. The method for verifying the accuracy of battery lithium-ion analysis potential prediction according to claim 1, wherein the first lithium-ion battery is a soft-pack battery and the second lithium-ion battery is an aluminum-shell battery.
3. The method for verifying the accuracy of lithium-ion potential prediction of a battery according to claim 2, wherein the positive electrode material is lithium iron phosphate, the negative electrode material is single-particle graphite or single-particle mixed secondary particle graphite, the electrolyte is 1m LiPF6 (EC/DMC), and the separator material is polyethylene.
4. The method for verifying the accuracy of battery lithium-ion potential prediction of claim 1, wherein the battery capacity of the first lithium-ion battery is less than the battery capacity of the second lithium-ion battery.
5. The method of claim 1, wherein comparing the proximity of the states of charge of the first lithium ion battery and the second lithium ion battery comprises: and calculating the ratio of the current charge state of the first lithium ion battery to the current charge state of the second lithium ion battery.
6. The method for verifying the accuracy of battery lithium-ion potential prediction according to claim 1, wherein the charging rate comprises: 0.6C, 0.8C, 1C, 1.4C, and/or 2C, the lithium-ion potential prediction accuracy including accuracy at the charging rates of 0.6C, 0.8C, 1C, 1.4C, and/or 2C, respectively.
7. The method for verifying the accuracy of battery lithium-ion potential prediction of claim 6, further comprising:
under the condition that the potential of the battery cathode is the lowest and lithium precipitation does not exist, obtaining the maximum charging multiplying power of the first lithium ion battery and the second lithium ion battery under different charge states;
performing nonlinear fitting on the maximum charging multiplying power under different charge states to obtain lithium separation windows of the first lithium ion battery and the second lithium ion battery;
and comparing the charge states of the first lithium ion battery and the second lithium ion battery at the lithium separation window.
8. The method of claim 7, wherein comparing the proximity of the states of charge of the first lithium ion battery and the second lithium ion battery at the lithium analysis window comprises: and calculating the ratio of the current charge state of the first lithium ion battery to the current charge state of the second lithium ion battery.
9. The device for verifying the prediction accuracy of the lithium-ion analysis potential of the battery is characterized by comprising the following components:
the determining module is used for determining a first lithium ion battery and a second lithium ion battery, wherein the chemical systems of the first lithium ion battery and the second lithium ion battery are the same, and the determining module comprises the same positive electrode material, the same negative electrode material, the same diaphragm material and the same electrolyte;
the detection module is used for respectively charging the first lithium ion battery and the second lithium ion battery under a certain charging multiplying power and detecting the potential of the battery cathode under different charge states in the charging process;
the first comparison module is used for comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery when the potential of the battery cathode is the lowest and no lithium is separated, and the closer the approaching degree is, the higher the accuracy of testing the first lithium ion battery to predict the lithium separation potential of the second lithium ion battery is, wherein the approaching degree comprises the difference value or the ratio of the charge states of the first lithium ion battery and the second lithium ion battery; the closer the difference is to 0, the closer the state of charge is, or the closer the ratio is to 1, the closer the state of charge is.
10. The apparatus for verifying the accuracy of battery lithium-ion potential prediction of claim 9, further comprising:
the acquisition module is used for acquiring the maximum charging multiplying power of the first lithium ion battery and the second lithium ion battery under different charge states under the condition that the potential of the battery cathode is the lowest and lithium precipitation does not exist;
the fitting module is used for carrying out nonlinear fitting on the maximum charging multiplying power under different charge states to obtain lithium separation windows of the first lithium ion battery and the second lithium ion battery;
and the second comparison module is used for comparing the approaching degree of the charge states of the first lithium ion battery and the second lithium ion battery at the lithium separation window.
11. An electronic device, comprising: a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method of verifying battery lithium-out potential prediction accuracy of any one of claims 1-8.
12. A readable storage medium, wherein a program or instructions is stored on the readable storage medium, which when executed by a processor, implements the steps of the method for verifying the accuracy of a battery lithium-ion potential prediction according to any one of claims 1-8.
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