Method and device for detecting lithium precipitation during charging of lithium ion battery, and electronic equipment

Abstract

The invention discloses a lithium precipitation detection method and device during charging of a lithium ion battery, electronic equipment and a storage medium. According to the main technical scheme, the method comprises the steps of obtaining a thickness value of the lithium ion battery in a charging process; the thickness value larger than or equal to the reference thickness value is determined as the inflection point thickness, and it is determined that the lithium ion battery is subjected to the lithium precipitation reaction based on the determined inflection point thickness. On-line test and judgment can be carried out under the condition that the battery is not damaged and the operation of the battery is not influenced.

Description

Technical Field

[0001] The present disclosure relates to the field of battery technology, and in particular to a method and device for detecting lithium deposition during charging of a lithium-ion battery, and electronic equipment. Background Art

[0002] Lithium-ion batteries have the advantages of high energy density, no memory effect, green environmental protection and long service life. They have been widely used in power, energy storage, digital and other fields, especially promoting the rapid development of the new energy vehicle industry. As the most important component of new energy vehicles, the performance of lithium-ion batteries plays a vital role in the performance of the entire vehicle.

[0003] During the charging process of lithium-ion batteries, lithium deposition is very likely to occur under high rate or low temperature conditions. The generated lithium dendrites will cause internal short circuits in the battery, leading to serious safety accidents. Therefore, it is necessary to monitor and prevent lithium deposition in real time during the charging process of lithium-ion batteries.

[0004] Currently, the methods for lithium plating detection in lithium-ion batteries include the following: battery disassembly technology, which directly observes whether lithium metal is generated on the surface of the negative electrode, but requires destroying the battery and cannot achieve in-situ monitoring. Summary of the invention

[0005] The present invention provides a method, device, electronic device and storage medium for detecting lithium deposition during charging of a lithium-ion battery, the main purpose of which is to achieve online testing and judgment of lithium deposition without damaging the battery or affecting the operation of the battery.

[0006] According to a first aspect of the present disclosure, a method for detecting lithium deposition during charging of a lithium-ion battery is provided, comprising:

[0007] Obtaining a thickness value of the lithium-ion battery during charging;

[0008] Determine the thickness value greater than or equal to the reference thickness value as the inflection point thickness;

[0009] Based on the determined inflection point thickness, it is determined that a lithium deposition reaction occurs in the lithium ion battery.

[0010] In some embodiments, determining the thickness value greater than or equal to the reference thickness value as the inflection point thickness includes:

[0011] generating a thickness variation curve according to the thickness value;

[0012] comparing the thickness value in the thickness variation curve with the thickness value in the reference thickness curve;

[0013] When it is determined that the difference between the target thickness value in the thickness variation curve and the thickness value in the reference thickness curve is greater than or equal to the preset threshold, the target thickness value is determined as the inflection point thickness.

[0014] In some embodiments, obtaining the thickness value of the lithium-ion battery during the charging process includes:

[0015] Charging the lithium-ion battery using a target charging rate;

[0016] Obtain a thickness value of the lithium-ion battery during charging using the target charging rate.

[0017] In some embodiments, before comparing the thickness value in the thickness variation curve with the thickness value in the reference thickness curve, the method further comprises:

[0018] Using a lithium ion battery in which no lithium precipitation reaction occurs, and charging the lithium ion battery at a charging rate other than the target charging rate;

[0019] Acquiring a reference thickness value of the lithium-ion battery during charging, wherein charging is performed using a charging rate other than the target charging rate;

[0020] The reference thickness curve is generated according to the reference thickness value.

[0021] In some embodiments, after determining that the lithium ion battery has a lithium deposition reaction based on the determined inflection point thickness, the method further includes:

[0022] The charging strategy of the lithium-ion battery is adjusted based on the charging voltage corresponding to the thickness of the thick spot.

[0023] In some embodiments, adjusting the charging strategy of the lithium-ion battery based on the charging voltage corresponding to the thickness of the thick point includes:

[0024] Based on the charging voltage corresponding to the thickness of the thick spot, the lithium-ion battery is charged using a reduced charging rate.

[0025] In some embodiments, determining that a lithium deposition reaction occurs in the lithium-ion battery based on the determined inflection point thickness includes:

[0026] When the voltage corresponding to the thickness in the thickness variation curve reaches the lithium deposition voltage, it is determined that the lithium ion battery undergoes a lithium deposition reaction.

[0027] According to a second aspect of the present disclosure, a device for detecting lithium deposition during charging of a lithium-ion battery is provided, comprising:

[0028] An acquisition unit, used for acquiring a thickness value of the lithium-ion battery during charging;

[0029] A first determining unit, configured to determine the thickness value greater than or equal to the reference thickness value as the inflection point thickness;

[0030] The second determining unit is used to determine whether a lithium deposition reaction occurs in the lithium-ion battery based on the determined inflection point thickness.

[0031] In some embodiments, the first determining unit includes:

[0032] A generating module, used for generating a thickness variation curve according to the thickness value;

[0033] A comparison module, used for comparing the thickness value in the thickness variation curve with the thickness value in the reference thickness curve;

[0034] A determination module is used to determine the target thickness value as the inflection point thickness when it is determined that the difference between the target thickness value in the thickness variation curve and the thickness value in the reference thickness curve is greater than or equal to the preset threshold.

[0035] In some embodiments, the acquisition unit is further used to:

[0036] Charging the lithium-ion battery using a target charging rate;

[0037] Obtain a thickness value of the lithium-ion battery during charging using the target charging rate.

[0038] In some embodiments, the first determining unit further includes:

[0039] A charging module, used for charging the lithium-ion battery using a lithium-ion battery that has not undergone a lithium precipitation reaction and at a charging rate other than the target charging rate before comparing the thickness value in the thickness change curve with the thickness value in the reference thickness curve;

[0040] An acquisition module, used for acquiring a reference thickness value of the lithium-ion battery during charging, wherein charging is performed using a charging rate other than the target charging rate;

[0041] The generating module is further configured to generate the reference thickness curve according to the reference thickness value.

[0042] In some embodiments, the apparatus further comprises:

[0043] The adjustment unit is used to adjust the charging strategy of the lithium-ion battery based on the charging voltage corresponding to the thick point thickness after the second determination unit determines that the lithium-ion battery has a lithium deposition reaction based on the determined inflection point thickness.

[0044] In some embodiments, the adjustment unit is further used to charge the lithium-ion battery using a lowered charging rate based on the charging voltage corresponding to the thickness of the thick point.

[0045] In some embodiments, the second determination unit is further configured to determine that a lithium deposition reaction occurs in the lithium-ion battery when a voltage corresponding to the thickness in the thickness variation curve reaches a lithium deposition voltage.

[0046] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0047] at least one processor; and

[0048] a memory communicatively connected to the at least one processor; wherein,

[0049] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0050] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0051] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0052] The present disclosure provides a method, device, electronic device and storage medium for detecting lithium deposition during charging of a lithium-ion battery, which obtains a thickness value of the lithium-ion battery during the charging process; determines the thickness value that is greater than or equal to a reference thickness value as an inflection point thickness, and determines whether the lithium-ion battery has a lithium deposition reaction based on the determined inflection point thickness. Compared with the related art, the embodiment of the present application uses the variation trend of the thickness value of the lithium-ion battery as a judgment basis for lithium deposition detection, and can perform online testing and judgment without damaging the battery or affecting the battery operation.

[0053] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0055] Figure 1A schematic diagram of a flow chart of a method for detecting lithium deposition during charging of a lithium-ion battery provided by an embodiment of the present disclosure;

[0056] Figure 2 A schematic diagram of an in-situ thickness detection device provided in an embodiment of the present application;

[0057] Figure 3 A schematic diagram of a thickness variation curve provided in an embodiment of the present disclosure;

[0058] Figure 4 A schematic diagram of the structure of a device for detecting lithium deposition during charging of a lithium-ion battery provided in an embodiment of the present disclosure;

[0059] Figure 5 A schematic diagram of the structure of another device for detecting lithium deposition during charging of a lithium-ion battery provided by an embodiment of the present disclosure;

[0060] Figure 6 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0061] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0062] The following describes a method, device, electronic device, and storage medium for detecting lithium deposition during charging of a lithium-ion battery according to an embodiment of the present disclosure with reference to the accompanying drawings.

[0063] Figure 1 A schematic flow chart of a method for detecting lithium deposition during charging of a lithium-ion battery provided in an embodiment of the present disclosure.

[0064] like Figure 1 As shown, the method comprises the following steps:

[0065] Step 101, obtaining the thickness value of the lithium-ion battery during the charging process.

[0066] In order to detect the thickness of the lithium-ion battery, before executing the method described in this embodiment, Figure 2 As shown, Figure 2 A schematic diagram of an in-situ thickness detection device provided in an embodiment of the present application, wherein 1 is a battery casing, 2 is a pole, 3 is a platform, 4 is an in-situ thickness digital display, and 5 is a data recording connection line of the digital display.

[0067] based on Figure 2Build an in-situ thickness detection device, connect the thickness tester to the charging and discharging equipment, use different rates to charge the lithium-ion battery, and synchronously record the thickness changes of the lithium-ion battery according to the display of the in-situ thickness digital display 4; in practical applications, the different rates that can be used include but are not limited to 0.1C or 2C. Specifically, the embodiment of the present application does not limit the charging rate.

[0068] Step 102: Determine the thickness value that is greater than or equal to the reference thickness value as the inflection point thickness.

[0069] During the charging process of lithium-ion batteries, the embedding and extraction of lithium ions in the electrode active materials will cause the thickness to increase. During normal charging, the thickness of lithium-ion batteries maintains a linear growth, but if lithium plating occurs in the battery, the battery thickness will increase significantly. Therefore, this inflection point thickness can be used as a warning of the battery safety status.

[0070] The reference thickness value described in the embodiment of the present application is the battery thickness under normal conditions. When the difference between the thickness value obtained in step 101 and the reference thickness value is greater than or equal to the thickness value of the preset threshold, it indicates that the lithium plating voltage is about to be reached, that is, an inflection point has occurred, and the thickness value is therefore determined as the inflection point thickness.

[0071] Step 103: determining whether a lithium deposition reaction occurs in the lithium-ion battery based on the determined inflection point thickness.

[0072] Once the inflection point appears, it is determined that the lithium ion battery has undergone a lithium deposition reaction. In order to maintain battery charging safety, it is necessary to change the charging strategy, that is, to reduce the charging current before reaching the lithium deposition voltage.

[0073] The present disclosure provides a method for detecting lithium deposition during charging of a lithium-ion battery, wherein the thickness value of the lithium-ion battery during the charging process is obtained; the thickness value greater than or equal to a reference thickness value is determined as an inflection point thickness, and based on the determined inflection point thickness, it is determined that the lithium-ion battery has undergone a lithium deposition reaction. Compared with the related art, the embodiment of the present application uses the variation trend of the thickness value of the lithium-ion battery as a basis for judging lithium deposition detection, and can perform online testing and judgment without damaging the battery or affecting the battery operation.

[0074] As a refinement of step 101, when executing to obtain the thickness value of the lithium-ion battery during the charging process, the following method may be used but is not included: charging the lithium-ion battery using a target charging rate, and obtaining the thickness value of the lithium-ion battery during the charging process using the target charging rate. In the embodiment of the present application, the target charging rate used is 0.1C or 2C, and the method for obtaining the thickness value of the lithium-ion battery can refer to the detailed description of the above embodiment, which will not be repeated in the embodiment of the present application.

[0075] In order to facilitate a more intuitive determination of the inflection point thickness, when the thickness value greater than or equal to the reference thickness value is determined as the inflection point thickness in step 102, it can be implemented in but not limited to the following manner, including: generating a thickness change curve according to the thickness value, comparing the thickness value in the thickness change curve with the thickness value in the reference thickness curve, and when it is determined that the difference between the target thickness value in the thickness change curve and the thickness value in the reference thickness curve is greater than or equal to the preset threshold, determining the target thickness value as the inflection point thickness, and determining that a lithium deposition reaction occurs in the lithium-ion battery based on the voltage corresponding to the thickness in the thickness change curve reaching the lithium deposition voltage.

[0076] In order to facilitate a more intuitive understanding of the thickness variation curve, Figure 3 As shown, the example in step 101 is presented, and the lithium-ion battery is charged at a rate of 0.1C or 2C. If the lithium-ion battery does not undergo lithium deposition, when charged at a rate of 2C, the battery thickness change curve will overlap with the thickness change curve charged at a rate of 0.1C, and the overlap is that the difference between the target thickness value in the thickness change curve and the thickness value in the reference thickness curve is equal to 0, and the difference of 0 is the value under the ideal state, but in practical applications, in order to ensure the accuracy of lithium deposition detection, an error (preset threshold) will be set, as long as it is determined that the difference between the target thickness value in the thickness change curve and the thickness value in the reference thickness curve is less than the preset threshold, it can be determined that the thickness change curve coincides with the reference thickness curve. Once the lithium deposition potential is reached, the battery thickness curve will suddenly increase, and an inflection point will appear, that is, the difference between the target thickness value in the thickness change curve and the thickness value in the reference thickness curve is greater than or equal to the preset threshold.

[0077] In some embodiments, before comparing the thickness value in the thickness change curve with the thickness value in the reference thickness curve, a lithium-ion battery without lithium precipitation reaction is used, and the lithium-ion battery is charged at a charging rate other than the target charging rate to obtain a reference thickness value of the lithium-ion battery during the charging process, wherein charging is performed at a charging rate other than the target charging rate, and the reference thickness curve is generated according to the reference thickness value. The process of obtaining the reference thickness value of the lithium-ion battery during the charging process is the same as the process of obtaining the thickness value of the lithium-ion battery in step 101. For details, refer to the detailed description of the relevant embodiments, so it will not be repeated here.

[0078] In some embodiments, after determining that the lithium ion battery has a lithium deposition reaction based on the determined inflection point thickness, the charging strategy of the lithium ion battery is adjusted based on the charging voltage corresponding to the thick point thickness, and the lithium ion battery is charged at a lowered charging rate based on the charging voltage corresponding to the thick point thickness. Once the lithium deposition voltage is reached, the battery thickness curve will suddenly increase and an inflection point will appear. At this time, the charging strategy should be changed, the charging rate should be lowered, and the charging current should be reduced.

[0079] Corresponding to the above-mentioned lithium deposition detection method during charging of a lithium-ion battery, the present invention further provides a lithium deposition detection device during charging of a lithium-ion battery. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment, and will not be described in detail in the present invention.

[0080] Figure 4 A schematic diagram of a lithium deposition detection device for a lithium-ion battery during charging provided by an embodiment of the present disclosure is shown in FIG. Figure 4 As shown, including:

[0081] An acquisition unit 21 is used to acquire a thickness value of the lithium-ion battery during charging;

[0082] A first determining unit 22, configured to determine the thickness value greater than or equal to the reference thickness value as the inflection point thickness;

[0083] The second determining unit 23 is configured to determine whether a lithium deposition reaction occurs in the lithium-ion battery based on the determined inflection point thickness.

[0084] The present invention provides a device for detecting lithium deposition during charging of a lithium-ion battery, which obtains a thickness value of the lithium-ion battery during the charging process; determines the thickness value that is greater than or equal to a reference thickness value as an inflection point thickness, and determines whether the lithium-ion battery has a lithium deposition reaction based on the determined inflection point thickness. Compared with the related art, the embodiment of the present application uses the variation trend of the thickness value of the lithium-ion battery as a basis for judging lithium deposition detection, and can perform online testing and judgment without damaging the battery or affecting the battery operation.

[0085] Furthermore, in a possible implementation of this embodiment, as Figure 5 As shown, the first determining unit 22 includes:

[0086] A generating module 221, used for generating a thickness variation curve according to the thickness value;

[0087] A comparison module 222, configured to compare the thickness value in the thickness variation curve with the thickness value in the reference thickness curve;

[0088] The determination module 223 is configured to determine the target thickness value as the inflection point thickness when it is determined that the difference between the target thickness value in the thickness variation curve and the thickness value in the reference thickness curve is greater than or equal to the preset threshold.

[0089] Furthermore, in a possible implementation of this embodiment, as Figure 5 As shown, the acquisition unit 21 is further used for:

[0090] Charging the lithium-ion battery using a target charging rate;

[0091] Obtain a thickness value of the lithium-ion battery during charging using the target charging rate.

[0092] Furthermore, in a possible implementation of this embodiment, as Figure 5 As shown, the first determining unit 22 further includes:

[0093] A charging module 224, configured to charge the lithium-ion battery using a lithium-ion battery that has not undergone a lithium precipitation reaction and at a charging rate other than the target charging rate before comparing the thickness value in the thickness change curve with the thickness value in the reference thickness curve;

[0094] An acquisition module 225 is used to acquire a reference thickness value of the lithium-ion battery during charging, wherein charging is performed using a charging rate other than the target charging rate;

[0095] The generating module 221 is further configured to generate the reference thickness curve according to the reference thickness value.

[0096] Furthermore, in a possible implementation of this embodiment, as Figure 5 As shown, the device also includes:

[0097] The adjusting unit 24 is used to adjust the charging strategy of the lithium-ion battery based on the charging voltage corresponding to the thick point thickness after the second determining unit 23 determines that the lithium-ion battery has a lithium deposition reaction based on the determined inflection point thickness.

[0098] Furthermore, in a possible implementation of this embodiment, as Figure 5 As shown, the adjustment unit 24 is further used to charge the lithium-ion battery at a reduced charging rate based on the charging voltage corresponding to the thickness of the thick point.

[0099] In some embodiments, the second determining unit 23 is further configured to determine that a lithium deposition reaction occurs in the lithium-ion battery when a voltage corresponding to the thickness in the thickness variation curve reaches a lithium deposition voltage.

[0100] It should be noted that the above explanation of the method embodiment is also applicable to the device of this embodiment, and the principle is the same, which is not limited in this embodiment.

[0101] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0102] Figure 6 A schematic block diagram of an example electronic device 300 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0103] like Figure 6 As shown, the device 300 includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 302 or a computer program loaded from a storage unit 308 to a RAM (Random Access Memory) 303. In the RAM 303, various programs and data required for the operation of the device 300 can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

[0104] A number of components in the device 300 are connected to the I / O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a disk, an optical disk, etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0105] The computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as a lithium ion battery charging lithium deposition detection method. For example, in some embodiments, the lithium ion battery charging lithium deposition detection method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 300 via the ROM 302 and / or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to execute the aforementioned lithium plating detection method during charging of a lithium-ion battery in any other appropriate manner (eg, by means of firmware).

[0106] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a dedicated or general-purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0107] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0108] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0109] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0110] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0111] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0112] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0113] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0114] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method for detecting lithium deposition during charging of a lithium-ion battery, characterized in that: include: Obtaining a thickness value of the lithium-ion battery during charging; The thickness value greater than or equal to the reference thickness value is determined as the inflection point thickness; Based on the determined inflection point thickness, it is determined that a lithium deposition reaction occurs in the lithium ion battery.

2. The method according to claim 1, characterized in that: Determining the thickness value greater than or equal to the reference thickness value as the inflection point thickness comprises: generating a thickness variation curve according to the thickness value; comparing the thickness value in the thickness variation curve with the thickness value in the reference thickness curve; When it is determined that the difference between the target thickness value in the thickness variation curve and the thickness value in the reference thickness curve is greater than or equal to the preset threshold, the target thickness value is determined as the inflection point thickness.

3. The method according to claim 2, characterized in that The step of obtaining the thickness value of the lithium-ion battery during the charging process includes: Charging the lithium-ion battery using a target charging rate; Obtain a thickness value of the lithium-ion battery during charging using the target charging rate.

4. The method according to claim 3, characterized in that Before comparing the thickness value in the thickness variation curve with the thickness value in the reference thickness curve, the method further comprises: Using a lithium ion battery in which no lithium precipitation reaction occurs, and charging the lithium ion battery at a charging rate other than the target charging rate; Acquiring a reference thickness value of the lithium-ion battery during charging, wherein charging is performed using a charging rate other than the target charging rate; The reference thickness curve is generated according to the reference thickness value.

5. The method according to any one of claims 1 to 4, characterized in that After determining that a lithium deposition reaction occurs in the lithium ion battery based on the determined inflection point thickness, the method further includes: The charging strategy of the lithium-ion battery is adjusted based on the charging voltage corresponding to the thickness of the thick spot.

6. The method according to claim 5, characterized in that The adjusting the charging strategy of the lithium-ion battery based on the charging voltage corresponding to the thickness of the thick point includes: Based on the charging voltage corresponding to the thickness of the thick spot, the lithium-ion battery is charged using a reduced charging rate.

7. The method according to claim 1, characterized in that The step of determining, based on the determined inflection point thickness, that a lithium deposition reaction occurs in the lithium-ion battery comprises: When the voltage corresponding to the thickness in the thickness variation curve reaches the lithium deposition voltage, it is determined that the lithium ion battery undergoes a lithium deposition reaction.

8. A lithium deposition detection device for a lithium-ion battery during charging, characterized in that: include: an acquisition unit, configured to acquire a thickness value of the lithium-ion battery during the charging process in response to charging the lithium-ion battery; A first determining unit, configured to determine the thickness value greater than or equal to the reference thickness value as the inflection point thickness; The second determining unit is used to determine whether a lithium deposition reaction occurs in the lithium-ion battery based on the determined inflection point thickness.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-7.

Images