CN116299016A - Method, device, equipment and storage medium for detecting lithium precipitation phenomenon of battery - Google Patents
Method, device, equipment and storage medium for detecting lithium precipitation phenomenon of battery Download PDFInfo
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- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 246
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 245
- 238000001556 precipitation Methods 0.000 title claims abstract description 126
- 238000000034 method Methods 0.000 title claims abstract description 81
- 238000012360 testing method Methods 0.000 claims abstract description 138
- 238000001514 detection method Methods 0.000 claims abstract description 67
- 230000008859 change Effects 0.000 claims abstract description 38
- 238000001612 separation test Methods 0.000 claims abstract description 13
- 238000004458 analytical method Methods 0.000 claims description 88
- 238000004590 computer program Methods 0.000 claims description 15
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical group [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 11
- 229910002804 graphite Inorganic materials 0.000 claims description 11
- 239000010439 graphite Substances 0.000 claims description 11
- 238000000926 separation method Methods 0.000 claims description 8
- 238000010351 charge transfer process Methods 0.000 claims description 6
- 239000007773 negative electrode material Substances 0.000 claims description 4
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000008021 deposition Effects 0.000 claims 1
- 230000008569 process Effects 0.000 abstract description 33
- 238000010586 diagram Methods 0.000 description 15
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 11
- 229910001416 lithium ion Inorganic materials 0.000 description 11
- XKRFYHLGVUSROY-UHFFFAOYSA-N Argon Chemical compound [Ar] XKRFYHLGVUSROY-UHFFFAOYSA-N 0.000 description 6
- 238000004891 communication Methods 0.000 description 6
- 239000002931 mesocarbon microbead Substances 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 5
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- 239000003792 electrolyte Substances 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 239000012071 phase Substances 0.000 description 4
- 229910013870 LiPF 6 Inorganic materials 0.000 description 3
- 230000009471 action Effects 0.000 description 3
- 229910052786 argon Inorganic materials 0.000 description 3
- 230000007423 decrease Effects 0.000 description 3
- 238000009792 diffusion process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 2
- 230000004913 activation Effects 0.000 description 2
- 239000010405 anode material Substances 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 239000010406 cathode material Substances 0.000 description 2
- 125000004122 cyclic group Chemical group 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000004005 microsphere Substances 0.000 description 2
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- 230000004048 modification Effects 0.000 description 2
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- 229910012851 LiCoO 2 Inorganic materials 0.000 description 1
- 229910010707 LiFePO 4 Inorganic materials 0.000 description 1
- 229910015645 LiMn Inorganic materials 0.000 description 1
- 229910013290 LiNiO 2 Inorganic materials 0.000 description 1
- 238000007792 addition Methods 0.000 description 1
- 229910021383 artificial graphite Inorganic materials 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- QHGJSLXSVXVKHZ-UHFFFAOYSA-N dilithium;dioxido(dioxo)manganese Chemical compound [Li+].[Li+].[O-][Mn]([O-])(=O)=O QHGJSLXSVXVKHZ-UHFFFAOYSA-N 0.000 description 1
- 239000007772 electrode material Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000007770 graphite material Substances 0.000 description 1
- 229910021385 hard carbon Inorganic materials 0.000 description 1
- 239000011229 interlayer Substances 0.000 description 1
- 229910000625 lithium cobalt oxide Inorganic materials 0.000 description 1
- BFZPBUKRYWOWDV-UHFFFAOYSA-N lithium;oxido(oxo)cobalt Chemical compound [Li+].[O-][Co]=O BFZPBUKRYWOWDV-UHFFFAOYSA-N 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 229910044991 metal oxide Inorganic materials 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]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
-
- 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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
-
- 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 application discloses a lithium precipitation phenomenon detection method, device, equipment and storage medium of a battery, wherein N relaxation times corresponding to each lithium precipitation test can be obtained by acquiring relation data of N lithium precipitation tests of the battery and then determining the relaxation time corresponding to each lithium precipitation test according to the relation between voltage and time in the relation data of each lithium precipitation test. And analyzing the change degree between N relaxation times to determine whether the lithium precipitation phenomenon occurs in the battery. Wherein each lithium evolution test is a single pulse step applied to the cell and relaxed. Therefore, whether the lithium precipitation phenomenon occurs in the battery can be determined through the obtained N relaxation times, the battery is not required to be disassembled, the battery in the working state can be detected, and the detection efficiency of the lithium precipitation phenomenon of the battery is improved. In addition, as the lithium separation test time of the battery is shorter, the method is simple and quick, the normal charge and discharge process of the battery is not influenced, and the applicability of the lithium separation test method is improved.
Description
Technical Field
The application belongs to the technical field of lithium ion batteries, and particularly relates to a method, a device, equipment and a storage medium for detecting a lithium precipitation phenomenon of a battery.
Background
As lithium ion batteries are used in more and more fields in daily life, the safety requirements of lithium ion batteries are also increasing. Among them, an important factor affecting the safety of lithium ion batteries is the phenomenon of lithium precipitation occurring on the surface of graphite negative electrodes. When the lithium precipitation phenomenon occurs to the graphite cathode of the battery, the battery thermal runaway can be possibly caused, and then the spontaneous combustion phenomenon occurs to the battery, so that the safety of the lithium ion battery is affected.
The existing lithium separation detection method needs to detect the battery through special detection equipment under the condition of disassembling the battery, is not suitable for detecting the battery in a working state, is complex in operation and long in detection time, and is low in lithium separation detection efficiency.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for detecting a lithium precipitation phenomenon of a battery, which can improve the detection efficiency of the lithium precipitation phenomenon of the battery.
In a first aspect, an embodiment of the present application provides a method for detecting a lithium precipitation phenomenon of a battery, where the method may include:
acquiring relation data of N lithium precipitation tests of the battery, wherein each lithium precipitation test is to apply a single pulse step to the battery and relax, and the relation data is used for representing the relation between voltage and time in the corresponding lithium precipitation test;
According to the relation between voltage and time in the relation data of each lithium analysis test, determining relaxation time corresponding to each lithium analysis test to obtain N relaxation times;
and analyzing the variation degree among N relaxation times, and determining the detection result of the battery, wherein the detection result is used for indicating whether the lithium precipitation phenomenon occurs in the battery.
In one embodiment, the determining the relaxation time corresponding to each lithium analysis test according to the relationship between voltage and time in the relationship data of each lithium analysis test may include:
fitting the relation between the voltage and the time in the relation data of each lithium analysis test through a preset relaxation time equation to obtain relaxation time corresponding to each lithium analysis test.
In one embodiment, the fitting, by a preset relaxation time equation, the relationship between the voltage and the time in the relationship data of each lithium analysis test to obtain the relaxation time corresponding to each lithium analysis test may further include:
acquiring configuration information of the battery, wherein the configuration information is used for indicating the structural type of the battery;
determining a target relaxation time equation from a plurality of preset relaxation time equations according to configuration information of the battery;
Fitting the relationship between the voltage and the time in the relationship data of each lithium analysis test through a preset relaxation time equation to obtain relaxation time corresponding to each lithium analysis test, wherein the fitting may comprise:
fitting the relation between the voltage and the time in the relation data of each lithium analysis test through a target relaxation time equation to obtain relaxation time corresponding to each lithium analysis test.
In one embodiment, determining the target relaxation time equation from the plurality of preset relaxation time equations according to the configuration information of the battery may include:
taking the first relaxation time equation as a target relaxation time equation under the condition that the configuration information of the battery is half-battery and the cathode material of the battery is graphite; the first relaxation time equation includes:
wherein V is the voltage of the battery;
t is time;
a is the intercept of the relaxation time equation, and is related to the current and the negative electrode impedance of the battery;
b is the coefficient of the relaxation time equation, related to the current and negative impedance of the battery;
E n [z(t)]a single parameter Mitta-Leffer (Mittag-Leffer) equation;
n is the index of the constant phase angle element;
τ is the relaxation time of the negative charge transfer process;
Taking the second relaxation time equation as a target relaxation time equation in the case that the configuration information of the battery is a full battery; the second relaxation time equation may comprise:
where C is the coefficient of the relaxation time equation, related to the current and positive impedance of the battery.
In one embodiment, the determining the relaxation time corresponding to each lithium analysis test according to the relationship between voltage and time in the relationship data of each lithium analysis test, where N relaxation times are obtained may further include:
sequencing the N relaxation times according to the time sequence of the N lithium analysis tests to generate a target curve, wherein the target curve is used for representing the change degree of the N relaxation times corresponding to the N lithium analysis tests;
analyzing the degree of variation between the N relaxation times, determining the detection result of the battery may include:
and determining the detection result of the battery according to the change degree of N relaxation times in the target curve.
In one embodiment, the determining the detection result of the battery according to the degree of variation between the N relaxation times in the target curve may include:
when the N relaxation times in the target curve are within the preset time and the change rate reaches a preset threshold value, determining that the detection result of the battery indicates that the lithium precipitation phenomenon occurs in the battery;
When the N relaxation times in the target curve are within the preset time and the change rate does not reach the preset threshold value, determining that the detection result of the battery indicates that the lithium precipitation phenomenon of the battery does not occur.
In a second aspect, an embodiment of the present application provides a lithium precipitation phenomenon detection device of a battery, where the device may include:
the acquisition module is used for acquiring the relation data of N lithium precipitation tests of the battery, wherein each lithium precipitation test is to apply a single pulse step to the battery and relax, and the relation data is used for representing the relation between the voltage and time in the corresponding lithium precipitation test;
the determining module is used for determining relaxation time corresponding to each lithium analysis test according to the relation between the voltage and the time in the relation data of each lithium analysis test to obtain N relaxation times;
the analysis module is used for analyzing the change degree among N relaxation times, determining the detection result of the battery, and the detection result is used for indicating whether the lithium precipitation phenomenon occurs in the battery.
In a third aspect, an embodiment of the present application provides an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute instructions to implement a lithium precipitation phenomenon detection method of a battery as shown in any one of the embodiments of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer storage medium having a computer program stored thereon, which when executed by a processor implements a method for detecting a lithium precipitation phenomenon of a battery as shown in any one of the embodiments of the first aspect.
In a fifth aspect, embodiments of the present application also provide a computer program product comprising a computer program stored in a readable storage medium, the at least one processor of the device reading and executing the computer program from the storage medium, causing the device to perform the lithium analysis phenomenon detection method of the battery as shown in any one of the embodiments of the first aspect.
The embodiment of the application provides a lithium precipitation phenomenon detection method, device, equipment and storage medium of a battery, and compared with the prior art, the method has the following beneficial effects:
according to the lithium precipitation phenomenon detection method, device and equipment for the battery and the storage medium, the N relaxation times corresponding to each lithium precipitation test can be obtained by acquiring the relation data of the N lithium precipitation tests of the battery and then determining the relaxation time corresponding to each lithium precipitation test according to the relation between the voltage and the time in the relation data of each lithium precipitation test. And analyzing the change degree between N relaxation times to determine whether the lithium precipitation phenomenon occurs in the battery. Wherein each lithium evolution test is a single pulse step applied to the cell and relaxed.
Therefore, whether the lithium precipitation phenomenon occurs in the battery can be determined through the obtained N relaxation times, the battery is not required to be disassembled, the battery in the working state can be detected, and the detection efficiency of the lithium precipitation phenomenon of the battery is improved. In addition, as the lithium separation test time of the battery is shorter, the method is simple and quick, the normal charge and discharge process of the battery is not influenced, and the applicability of the lithium separation test method is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described, and it is possible for a person skilled in the art to obtain other drawings according to these drawings without inventive effort.
Fig. 1 is a schematic flow chart of a method for detecting a lithium precipitation phenomenon of a battery according to an embodiment of the present application;
fig. 2 is a schematic flow chart of another method for detecting a lithium precipitation phenomenon of a battery according to an embodiment of the present application;
fig. 3 is a flow chart of a method for detecting a lithium precipitation phenomenon of a battery according to an embodiment of the present disclosure;
fig. 4 is a flow chart of a method for detecting a lithium precipitation phenomenon of a battery according to an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of relationship data of a first lithium analysis test according to an embodiment of the present application;
FIG. 6 is a schematic diagram of relaxation time versus lithium analysis test time provided in an embodiment of the present application;
FIG. 7 is a schematic diagram of relationship data for another first lithium analysis test provided in an embodiment of the present application;
FIG. 8 is a schematic diagram of another relaxation time versus lithium analysis test time data provided by an embodiment of the present application;
FIG. 9 is a schematic diagram of relationship data of yet another first lithium analysis test provided in an embodiment of the present application;
FIG. 10 is a schematic diagram of still another relaxation time versus lithium analysis test time provided by an embodiment of the present application;
fig. 11 is a schematic structural diagram of a device for detecting a lithium precipitation phenomenon of a battery according to an embodiment of the present disclosure;
fig. 12 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application are described in detail below to make the objects, technical solutions and advantages of the present application more apparent, and to further describe the present application in conjunction with the accompanying drawings and the detailed embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative of the application and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by showing examples of the present application.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
An important factor affecting the safety of the battery is the phenomenon of lithium precipitation at the surface of the graphite negative electrode. Particularly under fast charge conditions, lithium ions tend to deposit as metallic states on the graphite surface due to the presence of a large solid phase diffusion barrier. The extremely active chemistry of lithium metal results in more side reactions, and the formation of solid electrolyte interlayers that react with the electrolyte has proven to be one of the important factors triggering thermal runaway of the battery. Thus, prevention and suppression of lithium precipitation are self-evident in terms of improving battery safety. However, due to the uncertainty of the lithium precipitation phenomenon, it is difficult to determine whether lithium is precipitated in the lithium ion battery under the working condition without disassembling the battery. In particular, the currently existing lithium analysis detection techniques have at least one of the following problems: 1. special battery configurations are required and are not suitable for commercial battery systems; 2. the method has no real-time performance, and the judgment can be usually carried out only after the battery is charged or when lithium precipitation is serious; 3. special equipment is required, the operation is complicated, and the battery is not suitable for being used under the working condition; 4. the detection time is long and is not matched with the actual charging time of the battery under the condition of quick charge.
In summary, since the existing lithium separation detection method needs to detect the battery through a special detection device under the condition of disassembling the battery, the method is not suitable for detecting the battery in a working state, and is complex in operation and long in detection time, so that the efficiency of lithium separation detection on the battery is low.
In order to solve the problems in the prior art, the embodiment of the application provides a method, a device, equipment and a storage medium for detecting the lithium precipitation phenomenon of a battery, which can obtain N relaxation times by acquiring the relation data of N lithium precipitation tests of the battery and determining the relaxation time corresponding to each lithium precipitation test according to the relation between the voltage and the time in the relation data of each lithium precipitation test. And analyzing the change degree between N relaxation times to determine whether the lithium precipitation phenomenon occurs in the battery. Wherein each lithium evolution test is a single pulse step applied to the cell and relaxed.
Thus, whether the lithium precipitation phenomenon occurs in the battery can be determined through the obtained N relaxation times,
the battery in the working state can be detected without disassembling the battery, and the detection efficiency of the lithium precipitation phenomenon of the battery is improved. In addition, as the lithium separation test time of the battery is shorter, the method is simple and quick, the normal charge and discharge process of the battery is not influenced, and the applicability of the lithium separation test method is improved.
The method for detecting the lithium precipitation phenomenon of the battery provided in the embodiment of the present application will be described first. As shown in fig. 1, the method for detecting a lithium precipitation phenomenon of a battery according to an embodiment of the present application includes the following steps:
s101: acquiring relation data of N lithium precipitation tests of the battery, wherein each lithium precipitation test is to apply a single pulse step to the battery and relax, and the relation data is used for representing the relation between voltage and time in the corresponding lithium precipitation test;
s102: according to the relation between voltage and time in the relation data of each lithium analysis test, determining relaxation time corresponding to each lithium analysis test to obtain N relaxation times;
s103: and analyzing the variation degree among N relaxation times, and determining the detection result of the battery, wherein the detection result is used for indicating whether the lithium precipitation phenomenon occurs in the battery.
The above is a lithium precipitation phenomenon detection method for a battery provided by the embodiment of the application, where N relaxation times corresponding to each lithium precipitation test can be obtained by acquiring relationship data of N lithium precipitation tests of the battery, and then determining the relaxation time corresponding to each lithium precipitation test according to the relationship between voltage and time in the relationship data of each lithium precipitation test. And analyzing the change degree between N relaxation times to determine whether the lithium precipitation phenomenon occurs in the battery. Wherein each lithium evolution test is a single pulse step applied to the cell and relaxed.
Therefore, whether the lithium precipitation phenomenon occurs in the battery can be determined through the obtained N relaxation times, the battery is not required to be disassembled, the battery in the working state can be detected, and the detection efficiency of the lithium precipitation phenomenon of the battery is improved. In addition, as the lithium separation test time of the battery is shorter, the method is simple and quick, the normal charge and discharge process of the battery is not influenced, and the applicability of the lithium separation test method is improved.
Relaxation is a physical term that refers to the process of gradually returning from a certain state to an equilibrium state during a certain graded physical process. The time required is the relaxation time.
In S101, relationship data of N lithium analysis tests of the battery are obtained, where each lithium analysis test is to apply a single pulse step to the battery and relax, and the relationship data is used to characterize a relationship between voltage and time in the corresponding lithium analysis test. In one example, the lithium analysis test includes applying a single pulse step to the battery and relaxing, and after the single lithium analysis test is performed on the battery, recording data relating to a change in battery voltage over time in a single pulse relaxed portion of the single lithium analysis test.
In one example, a single lithium analysis test includes two processes, a single pulse step and relaxation process, respectively. During a single pulse step, the pulse current may be the same as the charge current for a battery during charge and discharge. For the battery in the stationary state, the pulse current may be selected to be a milder current according to the current range that the battery can withstand, and is not particularly limited herein. In a specific embodiment, the pulse current time may be within 0.5 seconds. The duration of this phase during the relaxation process (i.e., stopping the application of pulsed current to the cell) depends on the actual electrode system and the operating temperature of the cell and is not particularly limited herein. In a specific embodiment, the time required for the relaxation process may be within 0.5 seconds, and the total time for a single lithium analysis test may be within 1 second.
In one example, a lithium ion battery may be a battery system that includes various types of electrode materials. Wherein the battery configuration may be a full battery, half battery or a three electrode battery. Among them, the full-cell positive electrode may use commercialized lithium iron phosphate (LiFePO 4), lithium cobalt oxide (LiMn 2O 4), lithium manganate (LiCoO 2), lithium nickelate (LiNiO 2), ternary materials, etc., and the negative electrode may use general lithium ion battery negative electrode materials including carbon materials (artificial graphite, mesophase carbon microspheres, hard carbon, etc.), silicon materials, metal oxide materials, etc.
In one example, the battery voltage versus time data in a single lithium analysis test may determine the sampling density based on actual demand, and in one particular embodiment, the total number of data points needs to be greater than 50, i.e., the sampling density is greater than 100 points/second.
In S102, according to the relationship between voltage and time in the relationship data of each lithium analysis test, the relaxation time corresponding to each lithium analysis test is determined, and N relaxation times are obtained. In one example, the corresponding N relaxation times are calculated from the corresponding relationship data of the N lithium analysis tests.
In one example, for ease of calculation, data corresponding to time within a preset range may be selected from the relationship data of the battery voltage over time according to the estimated relaxation time for calculation. For example, a time range between about 0.1 τ and about 10 τ is selected based on the estimated relaxation time τ such that the relaxation process of the negative electrode charge transfer occurs predominantly within this time range.
In S103, the degree of change between the N relaxation times is analyzed, and the detection result of the battery is determined, which is used to indicate whether the lithium precipitation phenomenon occurs in the battery. In one example, N relaxation times corresponding to N lithium analysis tests are fitted according to a test sequence or test time to obtain a relationship between the relaxation times and the test time. And when the change degree of the relaxation time change rate reaches a preset threshold value, determining that the lithium precipitation phenomenon occurs in the battery at the moment. Otherwise, determining that the lithium precipitation phenomenon of the battery does not occur. For example, when the relaxation time is at 40 minutes, the rate of decrease reaches a certain threshold value, and it is determined that the lithium precipitation phenomenon occurs at 40 minutes.
In order to improve the accuracy of the detection of the lithium precipitation phenomenon of the battery, as shown in fig. 2, S102 may include, as an example:
s1021: fitting the relation between the voltage and the time in the relation data of each lithium analysis test through a preset relaxation time equation to obtain relaxation time corresponding to each lithium analysis test.
By fitting the relation between the voltage and the time in the relation data of each lithium precipitation test through a preset relaxation time equation, the accuracy of detecting the lithium precipitation phenomenon of the battery can be improved.
In S1021, fitting the relationship between the voltage and the time in the relationship data of each lithium analysis test by using a preset relaxation time equation, so as to obtain the relaxation time corresponding to each lithium analysis test. In one example, the relaxation time equation may be determined from an actual battery system. And substituting the values of the battery voltage and the time into a relaxation time equation according to the relation between the voltage and the time in the relation data of each lithium analysis test, and fitting to obtain the relaxation time.
In order to further improve the accuracy of the detection of the lithium precipitation phenomenon of the battery, as shown in fig. 3, as an example, before S1021, it may further include:
s301: acquiring configuration information of the battery, wherein the configuration information is used for indicating the structural type of the battery;
s302: determining a target relaxation time equation from a plurality of preset relaxation time equations according to configuration information of the battery;
accordingly, S1021 may include:
s303: fitting the relation between the voltage and the time in the relation data of each lithium analysis test through a target relaxation time equation to obtain relaxation time corresponding to each lithium analysis test.
According to configuration information of the battery, a target relaxation time equation is determined in a plurality of preset relaxation time equations, and then the relationship between voltage and time in the relationship data of each lithium analysis test is fitted through the target relaxation time equation, so that the accuracy of detecting the lithium analysis phenomenon of the battery can be further improved.
In S301, configuration information of the battery is acquired, the configuration information being used to indicate the structural type of the battery. In one example, configuration information of a battery is obtained, and a battery system and anode and cathode materials are determined. Battery systems include half-cells, full-cells, and three-electrode cells. Battery anode materials include, but are not limited to, graphite materials.
In S302, a target relaxation time equation is determined from a plurality of preset relaxation time equations according to configuration information of the battery. In one example, where the configuration information of the battery is a half-cell and the negative electrode material of the battery is graphite, the first relaxation time equation is taken as the target relaxation time equation; the first relaxation time equation includes:
wherein V is the voltage of the battery;
t is time;
a is the intercept of the relaxation time equation, and is related to the current and the negative electrode impedance of the battery;
b is the coefficient of the relaxation time equation, related to the current and negative impedance of the battery;
n is the index of the constant phase angle element;
E n [z(t)]a single parameter Mitta-Leffer (Mittag-Leffer) equation;
τ is the relaxation time of the negative charge transfer process.
For a full cell, the positive electrode charge transfer process has been fully relaxed within the negative electrode charge transfer dominant time regime due to the small relaxation time, where the dominant process is diffusion relaxation. Taking the second relaxation time equation as a target relaxation time equation in the case that the configuration information of the battery is a full battery; the second relaxation time equation includes:
Wherein C is a coefficient of a relaxation time equation and is related to the current of the battery and the positive electrode impedance;
In order to more intuitively and accurately determine the lithium precipitation phenomenon of the battery, as shown in fig. 4, as an example, after S102, it may further include:
s401: sequencing the N relaxation times according to the time sequence of the N lithium analysis tests to generate a target curve, wherein the target curve is used for representing the change degree of the N relaxation times corresponding to the N lithium analysis tests;
accordingly, S103 includes:
s402: and determining the detection result of the battery according to the change degree of N relaxation times in the target curve.
The N relaxation times are sequenced according to the time sequence of the N lithium precipitation tests, a target curve is generated, and the detection result of the battery is determined according to the change degree of the N relaxation times in the target curve, so that the lithium precipitation phenomenon of the battery can be determined more intuitively and accurately.
In 401, the N relaxation times are ordered according to the time sequence of the N lithium analysis tests, and a target curve is generated, where the target curve is used to characterize the degree of change of the N relaxation times corresponding to the N lithium analysis tests. In a specific embodiment, the N relaxation times corresponding to the N lithium-precipitation tests are used to obtain a relationship curve between the relaxation times and the test times according to the order of the N lithium-precipitation tests, with the time of the lithium-precipitation test as the abscissa and the relaxation time as the ordinate.
In S402, the detection result of the battery is determined according to the degree of variation between N relaxation times in the target curve. For example, when the relationship between the relaxation time and the test time shows a rapid decrease in the relaxation time change curve at 40 minutes, it is determined that the lithium precipitation phenomenon occurs in the battery at this time. The principle is that the charge transfer resistance continues to increase during normal charging of the battery so that the relaxation time continues to increase. When lithium is separated from the cathode, branches are generated in the charge transfer process, the charge transfer resistance is suddenly reduced, and the relaxation time is suddenly reduced. The node can judge whether the lithium is separated from the battery.
In one example, S402 may specifically include: when the N relaxation times in the target curve are within the preset time and the change rate reaches a preset threshold value, determining that the detection result of the battery indicates that the lithium precipitation phenomenon occurs in the battery;
when the N relaxation times in the target curve are within the preset time and the change rate does not reach the preset threshold value, determining that the detection result of the battery indicates that the lithium precipitation phenomenon of the battery does not occur.
The following describes the lithium precipitation phenomenon detection process of the battery in the above technical solution with three specific embodiments:
Example 1: and detecting the lithium precipitation phenomenon of the three-electrode lithium-graphite (Li-Gr) half-cell system battery in a charge and discharge state.
(1) And (3) battery assembly: the three-electrode Li-Gr half-cell uses a negative electrode coated by a mesocarbon microbead (MCMB) as a working electrode, a counter electrode uses a lithium sheet, and a reference electrode uses a lithium-plated copper wire; using conventional 1M LiPF 6 Electrolyte system at EC/DMC (volume ratio 3:7); two PP diaphragms were used to isolate the reference electrode from the positive and negative electrodes. The cell assembly process was performed in an argon glove box.
(2) And (3) battery testing: the assembled battery is firstly subjected to two-circle small-multiplying-power cyclic activation, the charge-discharge cut-off voltage is 0-1.5V, and the multiplying power is 0.1C. The method is used for testing whether the lithium is separated from the cathode or not, the charging current density is 1C, lithium ion intercalated graphite is used as a charging process, and a relaxation time test is carried out every 1 minute, wherein the step current and the charging current density are consistent to be 1C, the step time is 0.25s, and the relaxation time is 0.25s.
(3) Fitting data: the relaxation time test results are analyzed to zero the potential change of the relaxation process. Selecting potential change data within 2-100 ms time range, and adopting formula
Fitting was performed and the results of the relaxation potential changes tested at the first minute were as shown in FIG. 5, by 
R is calculated 2 The validity of this fitting procedure is illustrated as 0.9992.
(4) And (3) lithium separation judgment: the fitting results over 50 minutes during charging of the three-electrode Li-Gr half-cell are shown in fig. 6. The negative electrode potential reached a minimum at 45 minutes, indicating that lithium evolution began to occur before 45 minutes. And relaxation time results provide clearer initial node information of lithium precipitation phenomenon. At 40 minutes, the relaxation time of the negative electrode suddenly decreases, i.e., corresponds to the initial point of the lithium evolution phenomenon.
Example 2: and detecting the lithium precipitation phenomenon of the three-electrode lithium-graphite (Li-Gr) half-cell system battery in a standing state.
(1) And (3) battery assembly: the three-electrode Li-Gr half-cell uses a negative electrode coated by a mesocarbon microbead (MCMB) as a working electrode, a counter electrode uses a lithium sheet, and a reference electrode uses a lithium-plated copper wire; using conventional 1M LiPF 6 Electrolyte system at EC/DMC (volume ratio 3:7); two PP diaphragms were used to isolate the reference electrode from the positive and negative electrodes. The cell assembly process was performed in an argon glove box.
(2) And (3) battery testing: the assembled battery is firstly subjected to two-circle small-multiplying-power cyclic activation, the charge-discharge cut-off voltage is 0-1.5V, and the multiplying power is 0.1C. The lithium precipitation test process adopts a charging multiplying power of 0.1C, and the charging is stopped every 10 minutes after the charging, and the relaxation time test is carried out after the lithium precipitation test process is kept stand for 30 minutes. Wherein the step current is 1C, the step duration is 0.25s, and the relaxation duration is 0.25s. The above charge, rest and relaxation time tests were cycled 90 times, each cycle being about 40 minutes long.
(3) Fitting data: analyzing the relaxation time test result, zeroing the potential change of the relaxation process, selecting potential change data within the time range of 2-100 ms, and adopting a formula
Fitting was performed and the results of the relaxation potential changes tested at the first minute were as shown in FIG. 7 by
R is calculated 2 0.9998.
(4) And (3) lithium separation judgment: the fitted result of relaxation time during 90 cycles in the charging process of the three-electrode Li-Gr half-cell and the corresponding negative electrode potential change curve are shown in fig. 8. The negative electrode potential reached a minimum during 3320 minutes, i.e., 83 th cycle, indicating that lithium evolution began to occur before that. Whereas in the relaxation time image the dip in the negative relaxation time occurs at cycle 81, corresponding to the initial point of lithium evolution.
Example 3: and detecting the lithium precipitation phenomenon of the battery of the graphite-lithium iron phosphate (Gr-LFP) full battery system in a charge and discharge state.
(1) And (3) battery assembly: the Gr-LFP full battery takes a Mesophase Carbon Microsphere (MCMB) material as a negative electrode, and takes a lithium iron phosphate (LFP) material as a positive electrode; using conventional 1M LiPF 6 Electrolyte system at EC/DMC (volume ratio 3:7). The cell assembly process was performed in an argon glove box.
(2) And (3) battery testing: the assembled battery is firstly activated in two circles of small multiplying power circulation, the charge-discharge cut-off voltage is 2.5-3.65V, and the multiplying power is 0.1C. The charge current density used for testing whether the negative electrode is lithium-leached is 1C, and a relaxation time test is carried out every 1 minute, wherein the step current and the charge current density are consistent with each other at 1C, the step time is 0.25s, and the relaxation time is 0.25s.
(3) Fitting data: analyzing the relaxation time test result, zeroing the potential change of the relaxation process, selecting potential change data within the time range of 2-100 ms, and adopting a formula
Fitting was performed and the result of fitting the relaxation potential changes tested at the first minute is shown in FIG. 9 by +.>
R is calculated 2 0.9952.
(4) And (3) lithium separation judgment: the relaxation time fit results and corresponding full cell voltage profile for Gr-LFP full cell charge over 50 minutes are shown in fig. 10. The dip in the relaxation time of the negative electrode occurs at 40 minutes, which corresponds to the initial point of lithium evolution. At this time, the full cell voltage was 3.67V, indicating that lithium evolution was very likely to occur after the cell exceeded the mild voltage range (2.5-3.65V) at 1C rate.
The above is a specific implementation manner of a method for detecting a lithium precipitation phenomenon of a battery provided in the embodiments of the present application. Based on the method for detecting the lithium precipitation phenomenon of the battery provided by the embodiment, correspondingly, the application also provides a specific implementation mode of the device for detecting the lithium precipitation phenomenon of the battery, please refer to the following embodiment.
As shown in fig. 11, a device 1100 for detecting a lithium precipitation phenomenon of a battery according to an embodiment of the present application includes:
The acquisition module 1101 is configured to acquire relationship data of N lithium analysis tests of the battery, where each lithium analysis test is to apply a single pulse step to the battery and relax, and the relationship data is used to characterize a relationship between voltage and time in the corresponding lithium analysis test;
the determining module 1102 is configured to determine relaxation times corresponding to each lithium analysis test according to a relationship between voltage and time in the relationship data of each lithium analysis test, so as to obtain N relaxation times;
the analysis module 1103 is configured to analyze the degree of change between the N relaxation times, determine a detection result of the battery, and the detection result is used to indicate whether the lithium precipitation phenomenon occurs in the battery.
In the lithium precipitation phenomenon detection device 1100 of the battery provided by the embodiment of the present application, the obtaining module 1101 obtains the relationship data of N lithium precipitation tests of the battery, and the determining module 1102 determines the relaxation time corresponding to each lithium precipitation test according to the relationship between the voltage and the time in the relationship data of each lithium precipitation test, so as to obtain N relaxation times. The analysis module 1103 analyzes the degree of change between the N relaxation times, and determines the detection result of the battery.
Therefore, whether the lithium precipitation phenomenon occurs in the battery can be determined through the obtained N relaxation times, the battery is not required to be disassembled, the battery in the working state can be detected, and the detection efficiency of the lithium precipitation phenomenon of the battery is improved. In addition, as the lithium separation test time of the battery is shorter, the method is simple and quick, the normal charge and discharge process of the battery is not influenced, and the applicability of the lithium separation test method is improved.
As another embodiment of the present application, in order to improve the accuracy of detecting the lithium precipitation phenomenon of the battery, the determining module 1102 includes:
the first fitting unit 11021 is configured to fit, through a preset relaxation time equation, a relationship between voltage and time in the relationship data of each lithium analysis test, so as to obtain a relaxation time corresponding to each lithium analysis test.
As another embodiment of the present application, in order to further improve the accuracy of detecting the lithium precipitation phenomenon of the battery, the lithium precipitation phenomenon detection device 1100 of the battery further includes:
an acquisition module 1104 for acquiring configuration information of the battery, the configuration information being used for indicating a structural type of the battery;
a determining module 1105, configured to determine a target relaxation time equation from a plurality of preset relaxation time equations according to configuration information of the battery;
accordingly, the first fitting unit 11021 may be specifically configured to:
fitting the relation between the voltage and the time in the relation data of each lithium analysis test through a target relaxation time equation to obtain relaxation time corresponding to each lithium analysis test.
As another embodiment of the present application, in order to further improve the accuracy of detecting the lithium precipitation phenomenon of the battery, the determining module 1105 specifically includes:
A first determining unit 11051 configured to set the first relaxation time equation as a target relaxation time equation in a case where configuration information of the battery is a half-battery and a negative electrode material of the battery is graphite; the first relaxation time equation includes:
wherein V is the voltage of the battery;
t is time;
a is the intercept of the relaxation time equation, and is related to the current and the negative electrode impedance of the battery;
b is the coefficient of the relaxation time equation, related to the current and negative impedance of the battery;
n is the index of the constant phase angle element;
E n [z(t)]a single parameter Mitta-Leffer (Mittag-Leffer) equation;
τ is the relaxation time of the negative charge transfer process;
a second determination unit 11052 for taking the second relaxation time equation as the target relaxation time equation in the case where the configuration information of the battery is the full battery; the second relaxation time equation includes:
where C is the coefficient of the relaxation time equation, related to the current and positive impedance of the battery.
As another embodiment of the present application, in order to more intuitively and accurately determine the lithium precipitation phenomenon of the battery, the lithium precipitation phenomenon detection device 1100 of the battery further includes:
the sorting module 1106 is configured to sort the N relaxation times according to a time sequence of the N lithium analysis tests, and generate a target curve, where the target curve is used to represent a degree of change of the N relaxation times corresponding to the N lithium analysis tests;
Accordingly, the analysis module 1103 may include:
a third determining unit 11031 is configured to determine a detection result of the battery according to the degree of variation between the N relaxation times in the target curve.
As another embodiment of the present application, in order to more intuitively and accurately determine the lithium precipitation phenomenon of the battery, the third determining unit 11031 may be specifically configured to:
when the N relaxation times in the target curve are within the preset time and the change rate reaches a preset threshold value, determining that the detection result of the battery indicates that the lithium precipitation phenomenon occurs in the battery;
when the N relaxation times in the target curve are within the preset time and the change rate does not reach the preset threshold value, determining that the detection result of the battery indicates that the lithium precipitation phenomenon of the battery does not occur.
Based on the method and the device for detecting the lithium precipitation phenomenon of the battery provided by the embodiments, the embodiments of the present application further provide an electronic device 1200, as shown in fig. 12:
comprises a processor 1201, a memory 1202, and a computer program stored in the memory 1202 and capable of running on the processor 1201, which when executed by the processor 1201, realizes the processes of the lithium precipitation phenomenon detection method embodiment of the battery and achieves the same technical effects.
In particular, the processor 1201 may include a Central Processing Unit (CPU), or an application specific integrated circuit (ASIC, application Specific Integrated Circuit), or may be configured to implement one or more integrated circuits of embodiments of the present application.
In particular embodiments, the memory may include Read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors) it is operable to perform the operations described with reference to a method according to an aspect of the present application.
The processor 1201 implements the lithium ion phenomenon detection method of any of the batteries of the above-described embodiments by reading and executing the computer program instructions stored in the memory 1202.
In one example, the electronic device may also include a communication interface 1203 and a bus 1210. As an example, as shown in fig. 12, the processor 1201, the memory 1202, and the communication interface 1203 are connected via a bus 1210 and perform communication with each other.
The communication interface 1203 is mainly used for implementing communication between each module, device, unit and/or apparatus in the embodiments of the present application.
The embodiment of the application further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the processes of the embodiment of the method for detecting the lithium precipitation phenomenon of the battery, and can achieve the same technical effects, so that repetition is avoided, and no further description is given here. Among them, a computer-readable storage medium such as a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, and the like.
It should be clear that the present application is not limited to the particular arrangements and processes described above and illustrated in the drawings. For the sake of brevity, a detailed description of known methods is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions, or change the order between steps, after appreciating the spirit of the present application.
The functional blocks shown in the above block diagrams may be implemented in hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, a plug-in, a function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine readable medium or transmitted over transmission media or communication links by a data signal carried in a carrier wave. A "machine-readable medium" may include any medium that can store or transfer information. Examples of machine-readable media include electronic circuitry, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio Frequency (RF) links, and the like. The code segments may be downloaded via computer networks such as the internet, intranets, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be different from the order in the embodiments, or several steps may be performed simultaneously.
Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations 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, 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, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to being, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware which performs the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In the foregoing, only the specific embodiments of the present application are described, and it will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the systems, modules and units described above may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, which are intended to be included in the scope of the present application.
Claims (10)
1. A method for detecting a lithium precipitation phenomenon of a battery, comprising:
acquiring relation data of N lithium precipitation tests of the battery, wherein each lithium precipitation test is to apply a single pulse step to the battery and relax, and the relation data is used for representing the relation between voltage and time in the corresponding lithium precipitation test;
according to the relation between the voltage and the time in the relation data of each lithium analysis test, determining the relaxation time corresponding to each lithium analysis test to obtain N relaxation times;
and analyzing the variation degree between N relaxation times, and determining the detection result of the battery, wherein the detection result is used for indicating whether the lithium precipitation phenomenon occurs in the battery.
2. The method of claim 1, wherein determining the relaxation time corresponding to each of the lithium analysis tests based on the relationship between voltage and time in the relationship data for each of the lithium analysis tests comprises:
fitting the relation between the voltage and the time in the relation data of each lithium analysis test through a preset relaxation time equation to obtain the relaxation time corresponding to each lithium analysis test.
3. The method according to claim 2, wherein the fitting, by a preset relaxation time equation, the relationship between the voltage and the time in the relationship data of each lithium analysis test, before obtaining the relaxation time corresponding to each lithium analysis test, further includes:
acquiring configuration information of the battery, wherein the configuration information is used for indicating the structure type of the battery;
determining a target relaxation time equation from a plurality of preset relaxation time equations according to configuration information of the battery;
fitting the relationship between the voltage and the time in the relationship data of each lithium analysis test through a preset relaxation time equation to obtain the relaxation time corresponding to each lithium analysis test, wherein the fitting comprises the following steps:
And fitting the relation between the voltage and the time in the relation data of each lithium analysis test through the target relaxation time equation to obtain the relaxation time corresponding to each lithium analysis test.
4. A method according to claim 3, wherein determining a target relaxation time equation from a plurality of preset relaxation time equations based on configuration information of the battery comprises:
taking the first relaxation time equation as a target relaxation time equation when the configuration information of the battery is half-battery and the negative electrode material of the battery is graphite; the first relaxation time equation includes:
wherein V is the voltage of the battery;
t is time;
a is the intercept of the relaxation time equation, related to the current and negative impedance of the battery;
b is the coefficient of the relaxation time equation, related to the current and negative impedance of the battery;
E n [z(t)]a single parameter Mitta-Leffer (Mittag-Leffer) equation;
n is the index of the constant phase angle element;
τ is the relaxation time of the negative charge transfer process;
taking the second relaxation time equation as a target relaxation time equation in the case that the configuration information of the battery is a full battery; the second relaxation time equation includes:
Wherein C is the coefficient of the relaxation time equation, and is related to the current and positive electrode impedance of the battery.
5. The method of claim 1, wherein determining the relaxation time corresponding to each lithium analysis test according to the relationship between voltage and time in the relationship data of each lithium analysis test, and after obtaining N relaxation times, further comprises:
sequencing the N relaxation times according to the time sequence of the N lithium analysis tests to generate a target curve, wherein the target curve is used for representing the change degree of the N relaxation times corresponding to the N lithium analysis tests;
said analyzing the degree of variation between N of said relaxation times, determining the detection result of said battery, comprising:
and determining the detection result of the battery according to the change degree of N relaxation times in the target curve.
6. The method of claim 5, wherein determining the detection result of the battery according to the degree of variation between N relaxation times in the target curve comprises:
when the change rate of N relaxation times in the target curve reaches a preset threshold value within preset time, determining that the detection result of the battery indicates that the lithium precipitation phenomenon occurs in the battery;
And when the change rate of N relaxation times in the target curve does not reach a preset threshold value within a preset time, determining that the detection result of the battery indicates that the lithium precipitation phenomenon of the battery does not occur.
7. A lithium deposition phenomenon detection device for a battery, comprising:
the lithium separation device comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring the relation data of N lithium separation tests of the battery, each lithium separation test is to apply a single pulse step to the battery and relax, and the relation data is used for representing the relation between the voltage and time in the corresponding lithium separation test;
the determining module is used for determining relaxation time corresponding to each lithium analysis test according to the relation between voltage and time in the relation data of each lithium analysis test to obtain N relaxation times;
and the analysis module is used for analyzing the change degrees among N relaxation times and determining the detection result of the battery, wherein the detection result is used for indicating whether the lithium precipitation phenomenon occurs to the battery.
8. An electronic device, the device comprising: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements a lithium precipitation phenomenon detection method according to any one of claims 1-6.
9. A computer readable storage medium, wherein computer program instructions are stored on the computer readable storage medium, which when executed by a processor, implement the lithium precipitation phenomenon detection method according to any one of claims 1-6.
10. A computer program product, characterized in that instructions in the computer program product, when executed by a processor of an electronic device, cause the electronic device to perform the lithium precipitation phenomenon detection method according to any of claims 1-6.
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