CN112782599A - Nondestructive lithium analysis detection method and device for lithium ion battery and computer equipment - Google Patents
Nondestructive lithium analysis detection method and device for lithium ion battery and computer equipment Download PDFInfo
- Publication number
- CN112782599A CN112782599A CN202011606958.7A CN202011606958A CN112782599A CN 112782599 A CN112782599 A CN 112782599A CN 202011606958 A CN202011606958 A CN 202011606958A CN 112782599 A CN112782599 A CN 112782599A
- Authority
- CN
- China
- Prior art keywords
- lithium
- target battery
- battery
- curve
- circuit voltage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Abstract
The application relates to a nondestructive lithium analysis detection method, a nondestructive lithium analysis detection device and computer equipment for a lithium ion battery, wherein firstly, in the discharging process after the charging of a target battery is finished, the terminal voltage and the current of the target battery are obtained in real time; secondly, calculating open-circuit voltage OCV and discharge electric quantity Q of the target battery according to the terminal voltage and the current of the target battery, and drawing a first change curve, wherein the first change curve is a discharge electric quantity Q-open-circuit voltage OCV curve; and finally, judging whether the target battery is subjected to lithium separation in the charging process according to the shape of the first change curve. According to the method and the device, whether the target battery is subjected to lithium separation in the charging process can be judged directly according to the curve shape of the discharge electric quantity Q-open circuit voltage OCV. The method can accurately judge whether the lithium precipitation occurs in the battery, has low application cost and has no damage to the battery.
Description
Technical Field
The application relates to the technical field of battery detection, in particular to a lithium ion battery nondestructive lithium analysis detection method and device and computer equipment.
Background
In order to relieve the problems of energy shortage and environmental pollution, new energy automobiles are already listed in strategic emerging technology industries in China. Motorization of automotive power systems has gradually become one of the major trends in future automotive technology development. One of the main features of motorization of automotive power systems is the use of electrical energy instead of chemical energy as the primary source of motive energy for vehicles. The lithium ion power battery has the characteristics of high specific energy, low self-discharge rate and long cycle life, and is the most practical pure electric vehicle energy source at present.
Under extreme conditions such as low-temperature charging, high-rate charging, overcharge, and the like, lithium ions in the lithium ion battery are easily precipitated as metal on the surface of the negative electrode to form metal lithium, and the phenomenon is called lithium precipitation. The lithium precipitation leads to a reduction of the available lithium ions inside the battery, causing a rapid decay of the battery capacity. Due to poor thermal stability of the precipitated metal lithium, the metal lithium is easy to generate heat reaction with electrolyte in the normal working temperature range of the lithium ion battery, so that the abnormal self-heat generation of the battery is caused. On the other hand, the precipitated lithium metal may grow into lithium dendrites to further pierce the separator, which causes internal short circuit of the battery and seriously affects the safety performance of the battery system. Therefore, in order to ensure the normal use of the battery system and reduce the safety risk, the lithium analysis of the battery needs to be detected in time, and the fault battery which generates the lithium analysis is screened out.
The traditional detection method for lithium precipitation of the lithium ion battery cathode mainly analyzes the appearance of the battery after disassembly. But is generally observed by a scanning electron microscope or an optical microscope only when a large amount of dendritic materials are generated on the surface of the electrode, and thus the safety of the battery may be compromised at this time. In addition, lithium ion batteries, especially power batteries, have large battery volume and weight, and some batteries are also steel shell batteries, which are dangerous when being disassembled and need to consume large manpower and material resources.
Disclosure of Invention
Based on this, the present application provides a nondestructive lithium analysis detection method and apparatus for a lithium ion battery, and a computer device, aiming at the above technical problems.
The application provides a nondestructive lithium analysis detection method for a lithium ion battery, which comprises the following steps:
in the discharging process after the charging of the target battery is finished, acquiring the terminal voltage and the current of the target battery in real time;
calculating open-circuit voltage OCV and discharge electric quantity Q of the target battery according to the terminal voltage and the current of the target battery, and drawing a first change curve, wherein the first change curve is a discharge electric quantity Q-open-circuit voltage OCV curve;
and judging whether lithium separation occurs in the target battery in the charging process according to the shape of the first change curve.
In one embodiment, in a preset open-circuit voltage interval, when the first change curve does not bulge upwards, it is determined that no lithium deposition occurs in the target battery in the charging process.
In one embodiment, in a preset open-circuit voltage interval, when the first change curve is convex upward, the lithium ion battery non-destructive lithium analysis detection method further includes:
obtaining the differential d of the open-circuit voltage OCV to the discharge capacity QOCV/dQAnd drawing a second variation curve, which is the differential d of the discharge electric quantity Q-open circuit voltage OCV to the discharge electric quantity QOCV/dQA curve;
judging whether the second change curve has a minimum value point or not within a preset discharge capacity interval;
when the second variation curve has a minimum value point, the target battery is subjected to lithium separation in the charging process;
when the second variation curve has no minimum value point, the target battery does not generate lithium separation in the charging process.
In one embodiment, the open-circuit voltage OCV of the target battery is calculated from the terminal voltage and current of the target battery using a parameter identification method.
In one embodiment, the state of charge of the target battery is calculated by using an ampere-hour integration method, and the discharge electric quantity Q is obtained.
Based on the same inventive concept, the application provides a lithium ion battery nondestructive lithium analysis detection device, which comprises:
the first change curve acquisition module is used for acquiring the terminal voltage and the current of the target battery in real time in the discharging process after the charging of the target battery is finished; calculating open-circuit voltage OCV and discharge electric quantity Q of the target battery according to the terminal voltage and the current of the target battery, and drawing a first change curve, wherein the first change curve is a discharge electric quantity Q-open-circuit voltage OCV curve;
and the judging module is used for judging whether lithium separation occurs in the target battery in the charging process according to the shape of the first change curve.
In one embodiment, in a preset open-circuit voltage interval, when the determining module determines that the first change curve does not protrude upwards, lithium separation does not occur in the target battery during charging.
In one embodiment, in a preset open circuit voltage interval, when the determining module determines that the first change curve protrudes upward, the lithium ion battery non-destructive lithium analysis detection apparatus further includes:
a second variation curve obtaining module for obtaining a differential d of the open-circuit voltage OCV with respect to the discharge capacity QOCV/dQAnd drawing a second variation curve, wherein the second variation curve is the differential d of the discharge electric quantity Q-open circuit voltage OCV to the discharge electric quantity QOCV/dQA curve;
in a preset discharge capacity interval, the judging module judges whether the second change curve has a minimum value point or not;
when the second variation curve has a minimum value point, the target battery is subjected to lithium separation in the charging process;
when the second variation curve has no minimum value point, the target battery does not generate lithium separation in the charging process.
In one embodiment, the first variation curve obtaining module calculates the open-circuit voltage OCV of the target battery according to the terminal voltage and the current of the target battery by using a parameter identification method;
the first change curve acquisition module further calculates the state of charge of the target battery by using an ampere-hour integration method, and further acquires the discharge electric quantity Q.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the lithium ion battery non-destructive lithium analysis detection method of any of the above embodiments when the processor executes the computer program.
In the nondestructive lithium analysis detection method, the nondestructive lithium analysis detection device and the computer equipment for the lithium ion battery, firstly, the terminal voltage and the current of a target battery are obtained in real time in the discharging process after the charging of the target battery is finished; secondly, calculating open-circuit voltage OCV and discharge electric quantity Q of the target battery according to the terminal voltage and the current of the target battery, and drawing a first change curve, wherein the first change curve is a discharge electric quantity Q-open-circuit voltage OCV curve; and finally, judging whether the target battery is subjected to lithium separation in the charging process according to the shape of the first change curve. According to the method and the device, whether the target battery is subjected to lithium separation in the charging process can be judged directly according to the curve shape of the discharge electric quantity Q-open circuit voltage OCV. The method can accurately judge whether the lithium precipitation occurs in the battery, has low application cost and has no damage to the battery.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the conventional technologies of the present application, the drawings used in the descriptions of the embodiments or the conventional technologies will be briefly introduced below, it is obvious that the drawings in the following descriptions are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a nondestructive lithium analysis detection method for a lithium ion battery according to an embodiment of the present application;
FIG. 2 is a graph of time t-voltage V and time t-current I provided in example 1 of the present application;
fig. 3 is a graph of discharge capacity Q versus open circuit voltage OCV provided in example 1 of the present application;
FIG. 4 shows a differential d of a discharging electric quantity Q-an open-circuit voltage OCV with respect to a discharging electric quantity Q provided in embodiment 1 of the present applicationOCV/dQA graph;
fig. 5 is a graph of discharge capacity Q versus open circuit voltage OCV of example 2 provided in example 2 of the present application;
FIG. 6 shows the differential d of the discharging electric quantity Q-open-circuit voltage OCV with respect to the discharging electric quantity Q provided in embodiment 2 of the present applicationOCV/dQGraph is shown.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the present application are described in detail below with reference to the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of embodiments in many different forms than those described herein and those skilled in the art will be able to make similar modifications without departing from the spirit of the application and it is therefore not intended to be limited to the embodiments disclosed below.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, a first acquisition module may be referred to as a second acquisition module, and similarly, a second acquisition module may be referred to as a first acquisition module, without departing from the scope of the present application. The first acquisition module and the second acquisition module are both acquisition modules, but are not the same acquisition module.
It will be understood that when an element is referred to as being "disposed on" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1, the present application provides a nondestructive lithium analysis testing method for a lithium ion battery. The nondestructive lithium analysis detection method for the lithium ion battery comprises the following steps:
s10, acquiring terminal voltage and current of the target battery in real time in the discharging process after the charging of the target battery is finished;
s20, calculating the open circuit voltage OCV and the discharge electric quantity Q of the target battery according to the terminal voltage and the current of the target battery, and drawing a first change curve, wherein the first change curve is a discharge electric quantity Q-open circuit voltage OCV curve (Q-OCV curve); the abscissa of the first variation curve is the discharge capacity Q, and the ordinate is the open-circuit voltage OCV.
And S30, judging whether lithium precipitation occurs in the target battery in the charging process according to the shape of the first change curve.
It is to be understood that, in step S10, the type of the target battery is not particularly limited. The target cell is applicable to all kinds of lithium ion batteries including polymer lithium ion batteries, liquid lithium ion batteries or solid state lithium ion batteries. Optionally, the positive electrode material of the lithium ion battery is preferably a lithium manganate-based or ternary-system active material. The target battery may include a plurality of battery cells. The terminal voltage of the target battery refers to a terminal voltage of a battery cell in the target battery.
No special charging strategy is required for the charging mode of the target battery. And although the method is applicable to a post-charge discharge process. But does not require constant current discharge, and thus the method is more applicable.
In step S20, an open circuit voltage OCV of the target battery may be calculated from the terminal voltage and the current of the target battery using a parameter identification method. In particular, the parameter identification method may be a recursive least squares algorithm.
The method for obtaining the discharging electric quantity Q is not particularly limited, and in an implementation manner, the state of charge of the target battery may be calculated by using an ampere-hour integration method, so as to obtain the discharging electric quantity Q. That is, the state of charge of the target battery, and thus the discharge electric quantity Q, may be obtained by integrating the current of the target battery. In another possible implementation manner, the state of charge of the target battery during the discharging process may be directly obtained, and the discharging electric quantity Q may be obtained.
In step S30, it may be determined whether lithium deposition occurs during the charging process of the target battery by determining whether the shape of the first variation curve is abnormal. The abnormal shape may mean that the first variation curve is convex upward within a preset open circuit voltage interval. The preset open-circuit voltage interval can be a high open-circuit voltage interval; optionally, the preset open-circuit voltage interval may be an interval in which the open-circuit voltage is greater than 3.8V. And in a preset open-circuit voltage interval, when the first change curve does not protrude upwards, judging that no lithium separation occurs in the target battery in the charging process. In a preset open-circuit voltage interval, when the first change curve protrudes upwards, it can be judged that the target battery may be subjected to lithium separation.
In this embodiment, according to the present application, whether lithium deposition occurs in the target battery during the charging process can be directly determined according to the curve shape of the discharge electric quantity Q-open circuit voltage OCV. The method only utilizes voltage and current signals, does not need to additionally measure other physical signals, can accurately judge whether lithium analysis occurs in the battery, and has low application cost and no damage to the battery.
In order to make the Q-OCV curve shape abnormality more pronounced as indicated in step S30, in one embodiment, in a preset open circuit voltage interval, when the first change curve is convex upward, the lithium ion battery non-destructive lithium-desorption detection method further includes:
obtaining the differential d of the open-circuit voltage OCV to the discharge capacity QOCV/dQAnd drawing a second variation curve, which is the differential d of the discharge electric quantity Q-open circuit voltage OCV to the discharge electric quantity QOCV/dQCurve (Q-d)OCV/dQCurves); the abscissa of the first variation curve is the discharge capacity Q, and the ordinate is the differential of the open-circuit voltage OCV to the discharge capacity Q.
Judging whether the second change curve has a minimum value point or not within a preset discharge capacity interval; the preset discharge capacity interval can be an interval of discharge electric quantity corresponding to the open-circuit voltage being greater than 3.8V.
When the second variation curve has a minimum value point, the target battery is subjected to lithium separation in the charging process; when the second variation curve has no minimum value point, the target battery does not generate lithium separation in the charging process.
Example 1: a soft package lithium ion battery with a material system 811-graphite and a battery capacity of 70Ah is utilized. The cell was placed in a thermostat at-10 ℃ and charged with a constant current and a constant voltage at 0.2C to serve as an experimental group. After the battery is fully charged, the battery is dynamically discharged, and the discharge working condition is an FUDS (chemical unclan Driving schedule) working condition which is a common dynamic working condition and cannot be understood as a limitation on the use condition of the application. The cell voltage, current during discharge was recorded as shown in fig. 2. And measuring the capacity of the battery after the discharge is finished, and finding that the capacity of the battery is attenuated by 4.6 percent, thereby proving that obvious lithium separation exists in the charging.
Further, the cell was placed in an incubator at-10 ℃ and charged with a constant current and a constant voltage at 0.1C to serve as a control. And after the battery is fully charged, carrying out the same dynamic discharge on the battery, and recording the voltage and the current of the battery in the discharge process. And measuring the capacity of the battery after the discharge is finished, and finding that the capacity of the battery has no attenuation, thereby proving that no lithium precipitation exists in the charging.
And then, performing lithium analysis detection according to the lithium ion battery nondestructive lithium analysis detection method provided by the application, wherein a calculated discharge electric quantity Q-open circuit voltage OCV curve is shown in fig. 3, a solid line in the curve is a curve corresponding to a control group, and a dotted line is a curve corresponding to an experimental group. It can be seen that, as circled by the dotted line, both the dotted line curve and the solid line curve have upward bulges, and it is judged that lithium precipitation is possible in both the possible experimental group and the control group.
Thus, a further calculated Q-dOCV/dQ curve is shown in FIG. 4, where the solid line corresponds to the control group and the dashed line corresponds to the experimental group. It can be seen that as circled by the dotted line, there is a minimum point in the dotted line curve, and there is no minimum point in the solid line curve, so that it is judged that there is lithium deposition in the experimental group, and there is no lithium deposition in the control group. This is consistent with the actual results.
Example 2: a square-shell lithium ion battery is utilized, and the material system is 532-graphite, and the battery capacity is 28 Ah. The cell was placed in a thermostat at-10 ℃ and charged with a constant current and a constant voltage at 0.2C to serve as an experimental group. And after the battery is fully charged, dynamically discharging the battery. And measuring the capacity of the battery after the discharge is finished, and finding that the capacity is attenuated by 28.8 percent, thereby proving that obvious lithium separation exists in the charging.
Further, the cell was placed in an incubator at-10 ℃ and charged with a constant current and a constant voltage at 0.1C to serve as a control. And after the battery is fully charged, carrying out the same dynamic discharge on the battery, and recording the voltage and the current of the battery in the discharge process. And measuring the capacity of the battery after the discharge is finished, and finding that the capacity of the battery has no attenuation, thereby proving that no lithium precipitation exists in the charging.
And then, performing lithium analysis detection according to the lithium ion battery nondestructive lithium analysis detection method provided by the application, wherein a calculated discharge electric quantity Q-open circuit voltage OCV curve is shown in fig. 5, a solid line in the curve is a curve corresponding to a control group, and a dotted line is a curve corresponding to an experimental group. It can be seen that, as circled by the dotted line, both the dotted line curve and the solid line curve have upward bulges, and it is judged that lithium precipitation is possible in both the possible experimental group and the control group.
Thus, a further calculated Q-dOCV/dQ curve is shown in FIG. 6, where the solid line corresponds to the control group and the dashed line corresponds to the experimental group. It can be seen that as circled by the dotted line, there is a minimum point in the dotted line curve, and there is no minimum point in the solid line curve, so that it is judged that there is lithium deposition in the experimental group, and there is no lithium deposition in the control group. This is consistent with the actual results.
Based on the same inventive concept, the application provides a nondestructive lithium analysis detection device for a lithium ion battery. The lithium ion battery nondestructive lithium analysis detection device comprises a first change curve acquisition module and a judgment module.
The first change curve acquisition module is used for acquiring the terminal voltage and the current of the target battery in real time in the discharging process after the charging of the target battery is finished; and calculating the open-circuit voltage OCV and the discharge electric quantity Q of the target battery according to the terminal voltage and the current of the target battery, and drawing a first change curve, wherein the first change curve is a discharge electric quantity Q-open-circuit voltage OCV curve. And the judging module is used for judging whether lithium separation occurs in the target battery in the charging process according to the shape of the first change curve. And in a preset open-circuit voltage interval, when the judging module judges that the first change curve does not protrude upwards, the target battery does not have lithium separation in the charging process.
It can be understood that the lithium ion battery nondestructive lithium analysis detection device is used for realizing the lithium ion battery nondestructive lithium analysis detection method. Therefore, the structures of the first change curve acquisition module and the judgment module in the lithium ion battery nondestructive lithium analysis detection device are not particularly limited, as long as the first change curve acquisition module and the judgment module are used in cooperation, the method of the lithium ion battery nondestructive lithium analysis detection device can be realized.
In this embodiment, the lithium ion battery nondestructive lithium analysis detection apparatus may directly determine whether lithium analysis occurs in the target battery during the charging process according to the curve shape of the discharge electric quantity Q — the open-circuit voltage OCV. The method only utilizes voltage and current signals, does not need to additionally measure other physical signals, can accurately judge whether lithium analysis occurs in the battery, and has low application cost and no damage to the battery.
In one embodiment, in a preset open-circuit voltage interval, when the determining module determines that the first change curve protrudes upward, the lithium ion battery nondestructive lithium analysis detection apparatus further includes a second change curve obtaining module.
A second variation curve obtaining module for obtaining a differential d of the open-circuit voltage OCV with respect to the discharge capacity QOCV/dQAnd drawing a second variation curve, wherein the second variation curve is the differential d of the discharge electric quantity Q-open circuit voltage OCV to the discharge electric quantity QOCV/dQCurve line. And in a preset discharge capacity interval, the judging module judges whether the second change curve has a minimum value point or not. When the second variation curve has a minimum value point, the target battery is subjected to lithium separation in the charging process; when the second variation curve has no minimum value point, the target battery does not generate lithium separation in the charging process.
The application provides a computer device, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the lithium ion battery nondestructive lithium analysis detection method in any one of the above embodiments when executing the computer program.
The nondestructive lithium analysis detection method for the lithium ion battery comprises the following steps:
s10, acquiring terminal voltage and current of the target battery in real time in the discharging process after the charging of the target battery is finished;
s20, calculating the open circuit voltage OCV and the discharge electric quantity Q of the target battery according to the terminal voltage and the current of the target battery, and drawing a first change curve, wherein the first change curve is a discharge electric quantity Q-open circuit voltage OCV curve (Q-OCV curve); the abscissa of the first variation curve is the discharge capacity Q, and the ordinate is the open-circuit voltage OCV.
And S30, judging whether lithium precipitation occurs in the target battery in the charging process according to the shape of the first change curve.
In order to make the Q-OCV curve shape abnormality more pronounced as indicated in step S30, in one embodiment, in a preset open circuit voltage interval, when the first change curve is convex upward, the lithium ion battery non-destructive lithium-desorption detection method further includes:
obtaining the differential d of the open-circuit voltage OCV to the discharge capacity QOCV/dQAnd drawing the second variationA second variation curve of differential d between discharge capacity Q and open-circuit voltage OCVOCV/dQCurve (Q-d)OCV/dQCurves); the abscissa of the first variation curve is the discharge capacity Q, and the ordinate is the differential of the open-circuit voltage OCV to the discharge capacity Q.
Judging whether the second change curve has a minimum value point or not within a preset discharge capacity interval; the preset discharge capacity interval can be an interval of discharge electric quantity corresponding to the open-circuit voltage being greater than 3.8V.
When the second variation curve has a minimum value point, the target battery is subjected to lithium separation in the charging process; when the second variation curve has no minimum value point, the target battery does not generate lithium separation in the charging process.
The memory is used as a computer-readable storage medium and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the lithium ion battery non-destructive lithium analysis detection method in the embodiment of the present application. The processor executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory, namely the lithium ion battery nondestructive lithium analysis detection method is realized.
The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function. The storage data area may store data created according to the use of the terminal, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
In this embodiment, the computer device implements the lithium ion battery nondestructive lithium analysis detection method. According to the method and the device, whether the target battery is subjected to lithium separation in the charging process can be judged directly according to the curve shape of the discharge electric quantity Q-open circuit voltage OCV. The method only utilizes voltage and current signals, does not need to additionally measure other physical signals, can accurately judge whether lithium analysis occurs in the battery, and has low application cost and no damage to the battery.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the claims. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A nondestructive lithium analysis detection method for a lithium ion battery is characterized by comprising the following steps:
in the discharging process after the charging of the target battery is finished, acquiring the terminal voltage and the current of the target battery in real time;
calculating open-circuit voltage OCV and discharge electric quantity Q of the target battery according to the terminal voltage and the current of the target battery, and drawing a first change curve, wherein the first change curve is a discharge electric quantity Q-open-circuit voltage OCV curve;
and judging whether lithium separation occurs in the target battery in the charging process according to the shape of the first change curve.
2. The lithium ion battery nondestructive lithium analysis detection method of claim 1, wherein within a preset open circuit voltage interval, when the first change curve does not bulge, it is determined that no lithium analysis occurs in the target battery during charging.
3. The lithium ion battery nondestructive lithium analysis detection method according to claim 2, wherein within a preset open circuit voltage interval, when the first change curve is convex upward, the lithium ion battery nondestructive lithium analysis detection method further comprises:
obtaining the differential d of the open-circuit voltage OCV to the discharge capacity QOCV/dQAnd drawing a second variation curve, which is the differential d of the discharge electric quantity Q-open circuit voltage OCV to the discharge electric quantity QOCV/dQA curve;
judging whether the second change curve has a minimum value point or not within a preset discharge capacity interval;
when the second variation curve has a minimum value point, the target battery is subjected to lithium separation in the charging process;
when the second variation curve has no minimum value point, the target battery does not generate lithium separation in the charging process.
4. The lithium ion battery nondestructive lithium detection method according to claim 1, wherein an open circuit voltage OCV of the target battery is calculated from the terminal voltage and the current of the target battery by using a parameter identification method.
5. The lithium ion battery nondestructive lithium analysis detection method according to claim 1, characterized in that an ampere-hour integration method is used to calculate the state of charge of the target battery, and further obtain the discharge electric quantity Q.
6. A lithium ion battery nondestructive lithium analysis detection device is characterized by comprising:
the first change curve acquisition module is used for acquiring the terminal voltage and the current of the target battery in real time in the discharging process after the charging of the target battery is finished; calculating open-circuit voltage OCV and discharge electric quantity Q of the target battery according to the terminal voltage and the current of the target battery, and drawing a first change curve, wherein the first change curve is a discharge electric quantity Q-open-circuit voltage OCV curve;
and the judging module is used for judging whether lithium separation occurs in the target battery in the charging process according to the shape of the first change curve.
7. The lithium ion battery nondestructive lithium analysis detection device of claim 6, wherein in a preset open circuit voltage interval, when the judgment module judges that the first change curve does not protrude upwards, no lithium analysis occurs in the target battery during charging.
8. The device according to claim 7, wherein in a preset open circuit voltage interval, when the determining module determines that the first change curve protrudes upward, the device further comprises:
a second variation curve obtaining module for obtaining a differential d of the open-circuit voltage OCV with respect to the discharge capacity QOCV/dQAnd drawing a second variation curve, which is the differential d of the discharge electric quantity Q-open circuit voltage OCV to the discharge electric quantity QOCV/dQA curve;
in a preset discharge capacity interval, the judging module judges whether the second change curve has a minimum value point or not;
when the second variation curve has a minimum value point, the target battery is subjected to lithium separation in the charging process;
when the second variation curve has no minimum value point, the target battery does not generate lithium separation in the charging process.
9. The lithium ion battery nondestructive analysis lithium detection device of claim 6, wherein the first variation curve acquisition module calculates the open circuit voltage OCV of the target battery according to the terminal voltage and the current of the target battery by using a parameter identification method;
the first change curve acquisition module further calculates the state of charge of the target battery by using an ampere-hour integration method, and further acquires the discharge electric quantity Q.
10. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program implements the steps of the lithium ion battery non-destructive lithium profiling detection method of any of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011606958.7A CN112782599A (en) | 2020-12-28 | 2020-12-28 | Nondestructive lithium analysis detection method and device for lithium ion battery and computer equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011606958.7A CN112782599A (en) | 2020-12-28 | 2020-12-28 | Nondestructive lithium analysis detection method and device for lithium ion battery and computer equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112782599A true CN112782599A (en) | 2021-05-11 |
Family
ID=75753437
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011606958.7A Pending CN112782599A (en) | 2020-12-28 | 2020-12-28 | Nondestructive lithium analysis detection method and device for lithium ion battery and computer equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112782599A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113189498A (en) * | 2021-05-16 | 2021-07-30 | 广州菲利斯太阳能科技有限公司 | Nondestructive lithium analysis detection method |
| CN113791357A (en) * | 2021-11-16 | 2021-12-14 | 深圳维普创新科技有限公司 | Method and related device for intelligently correcting battery display electric quantity |
| CN114509695A (en) * | 2022-01-10 | 2022-05-17 | 清华大学 | Method, device, apparatus, storage medium, and computer program for detecting lithium deposition in battery |
| WO2023082262A1 (en) * | 2021-11-15 | 2023-05-19 | 宁德时代新能源科技股份有限公司 | Lithium plating detection method for battery pack, computer-readable storage medium and electric apparatus |
| WO2024065079A1 (en) * | 2022-09-26 | 2024-04-04 | 宁德时代新能源科技股份有限公司 | Lithium plating determination method and apparatus, and computer device, storage medium and program product |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102598393A (en) * | 2010-04-12 | 2012-07-18 | 丰田自动车株式会社 | Nonaqueous electrolyte solution type lithium ion secondary battery system, method for determining lithium deposition in that system, and vehicle provided with that system |
| CN105866695A (en) * | 2016-04-22 | 2016-08-17 | 宁德时代新能源科技股份有限公司 | Method for detecting lithium deposition of rechargeable battery, battery management system and battery system |
| US20170203660A1 (en) * | 2016-01-20 | 2017-07-20 | Ford Global Technologies, Llc | Vehicle control based on lithium plating detection in electrified vehicle battery |
| US20170234930A1 (en) * | 2015-08-24 | 2017-08-17 | Lg Chem, Ltd. | Detection method of li plating, method and apparatus for charging secondary battery and secondary battery system using the same |
| CN108519558A (en) * | 2018-04-28 | 2018-09-11 | 北京新能源汽车股份有限公司 | A kind of detection method, controller and the automobile of power battery analysis lithium |
| CN108732506A (en) * | 2018-04-26 | 2018-11-02 | 合肥国轩高科动力能源有限公司 | A kind of detection method of lithium-ion-power cell analysis lithium |
| CN108761344A (en) * | 2018-06-06 | 2018-11-06 | 江苏塔菲尔新能源科技股份有限公司 | A kind of detection method and system of lithium ion battery analysis lithium |
| CN109932658A (en) * | 2019-03-06 | 2019-06-25 | 肇庆遨优动力电池有限公司 | A kind of detection method of lithium ion battery analysis lithium |
| US20190379090A1 (en) * | 2018-06-12 | 2019-12-12 | GM Global Technology Operations LLC | On-vehicle algorithms to determine if lithium plating has occurred |
| CN111175662A (en) * | 2018-11-13 | 2020-05-19 | 清华大学 | Lithium ion battery evaluation method and lithium ion battery detection system |
-
2020
- 2020-12-28 CN CN202011606958.7A patent/CN112782599A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102598393A (en) * | 2010-04-12 | 2012-07-18 | 丰田自动车株式会社 | Nonaqueous electrolyte solution type lithium ion secondary battery system, method for determining lithium deposition in that system, and vehicle provided with that system |
| US20120215472A1 (en) * | 2010-04-12 | 2012-08-23 | Takayoshi Tezuka | Nonaqueous electrolyte solution type lithium ion secondary battery system, method for determining lithium deposition in that system, and vehicle provided with that system |
| US20170234930A1 (en) * | 2015-08-24 | 2017-08-17 | Lg Chem, Ltd. | Detection method of li plating, method and apparatus for charging secondary battery and secondary battery system using the same |
| US20170203660A1 (en) * | 2016-01-20 | 2017-07-20 | Ford Global Technologies, Llc | Vehicle control based on lithium plating detection in electrified vehicle battery |
| CN105866695A (en) * | 2016-04-22 | 2016-08-17 | 宁德时代新能源科技股份有限公司 | Method for detecting lithium deposition of rechargeable battery, battery management system and battery system |
| CN108732506A (en) * | 2018-04-26 | 2018-11-02 | 合肥国轩高科动力能源有限公司 | A kind of detection method of lithium-ion-power cell analysis lithium |
| CN108519558A (en) * | 2018-04-28 | 2018-09-11 | 北京新能源汽车股份有限公司 | A kind of detection method, controller and the automobile of power battery analysis lithium |
| CN108761344A (en) * | 2018-06-06 | 2018-11-06 | 江苏塔菲尔新能源科技股份有限公司 | A kind of detection method and system of lithium ion battery analysis lithium |
| US20190379090A1 (en) * | 2018-06-12 | 2019-12-12 | GM Global Technology Operations LLC | On-vehicle algorithms to determine if lithium plating has occurred |
| CN110596599A (en) * | 2018-06-12 | 2019-12-20 | 通用汽车环球科技运作有限责任公司 | On-board algorithm to determine whether lithium plating is occurring |
| CN111175662A (en) * | 2018-11-13 | 2020-05-19 | 清华大学 | Lithium ion battery evaluation method and lithium ion battery detection system |
| CN109932658A (en) * | 2019-03-06 | 2019-06-25 | 肇庆遨优动力电池有限公司 | A kind of detection method of lithium ion battery analysis lithium |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113189498A (en) * | 2021-05-16 | 2021-07-30 | 广州菲利斯太阳能科技有限公司 | Nondestructive lithium analysis detection method |
| WO2023082262A1 (en) * | 2021-11-15 | 2023-05-19 | 宁德时代新能源科技股份有限公司 | Lithium plating detection method for battery pack, computer-readable storage medium and electric apparatus |
| US11955608B2 (en) | 2021-11-15 | 2024-04-09 | Contemporary Amperex Technology Co., Limited | Lithium precipitation detection method for battery pack, computer-readable storage medium, and power consuming apparatus |
| CN113791357A (en) * | 2021-11-16 | 2021-12-14 | 深圳维普创新科技有限公司 | Method and related device for intelligently correcting battery display electric quantity |
| CN113791357B (en) * | 2021-11-16 | 2022-03-29 | 深圳维普创新科技有限公司 | Method and related device for intelligently correcting battery display electric quantity |
| CN114509695A (en) * | 2022-01-10 | 2022-05-17 | 清华大学 | Method, device, apparatus, storage medium, and computer program for detecting lithium deposition in battery |
| WO2024065079A1 (en) * | 2022-09-26 | 2024-04-04 | 宁德时代新能源科技股份有限公司 | Lithium plating determination method and apparatus, and computer device, storage medium and program product |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112782599A (en) | Nondestructive lithium analysis detection method and device for lithium ion battery and computer equipment | |
| Kang et al. | Comparison of comprehensive properties of Ni-MH (nickel-metal hydride) and Li-ion (lithium-ion) batteries in terms of energy efficiency | |
| CN110988086B (en) | Method for detecting structural stability of electrode material in battery cycle process | |
| CN204269787U (en) | The conforming detection system of a kind of lithium ion battery cryogenic property | |
| CN112240983B (en) | Method and device for detecting lithium separation of battery | |
| CN112710957A (en) | Method and device for detecting lithium precipitation during battery charging and computer equipment | |
| CN110726940B (en) | Method for rapidly evaluating cycle performance of high-nickel cathode material of lithium ion battery | |
| CN104237802A (en) | Detection method for low-temperature performance uniformity of lithium ion batteries | |
| Jin et al. | Comparison of Li-ion battery degradation models for system design and control algorithm development | |
| WO2021077273A1 (en) | Charging method, electronic device and storage medium | |
| CN111366863B (en) | Lithium ion battery service life acceleration pre-judging method based on low-temperature circulation | |
| García-Plaza et al. | Hysteresis effect influence on electrochemical battery modeling | |
| CN114069077A (en) | Electrochemical device management method, electronic apparatus, and battery system | |
| CN116559757B (en) | Verification method and device for battery lithium-precipitation potential prediction accuracy and electronic equipment | |
| CN113176516A (en) | Capacity prediction method, capacity prediction device, electronic device, and storage medium | |
| CN114523878B (en) | Lithium ion battery lithium precipitation safety early warning method and device | |
| CN116184241A (en) | Lithium battery lithium precipitation detection method, device and system | |
| CN110988713B (en) | Method for testing pulse current capability of lithium ion battery | |
| CN114019385B (en) | Lithium analysis detection method based on single-frequency impedance test | |
| CN108680863B (en) | Method for measuring maximum charging current of lithium ion battery | |
| WO2021186781A1 (en) | Capacity recovery device, capacity recovery method, and secondary battery system | |
| EP3989387A1 (en) | Battery charge and discharge control device and method | |
| CN113933736A (en) | Battery pack consistency evaluation method based on cloud discharge data | |
| CN116540137B (en) | Secondary battery capacity diving identification method and system | |
| US11480619B2 (en) | Estimation apparatus, estimation method, and computer program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210511 |
|
| RJ01 | Rejection of invention patent application after publication |