Method for detecting lithium precipitation of rechargeable battery

Abstract

The invention provides a method for detecting lithium precipitation of a rechargeable battery, the method is executed by a vehicle-mounted networking device, and the method comprises the following steps: receiving first data of the voltage of the battery relative to time, the first data being acquired in a first time period after the battery is charged by a charging device at constant current until the battery is fully charged, the battery is kept standing in a first time period; sending the first data to a remote server; and receiving a message from the remote server that whether the battery precipitates lithium. According to the method, the transceiving function of the vehicle-mounted networking equipment and the data processing function of the remote server are utilized, and whether the battery separates out lithium or not can be quickly and accurately analyzed.

Description

Technical Field

[0001] The present disclosure relates to the technical field of battery management, and in particular to a method for detecting lithium plating in a rechargeable battery, an in-vehicle networking device, a remote server, a computer-readable storage medium, a computer program product, and a vehicle. Background Art

[0002] In recent years, with the widespread use of lithium-ion rechargeable batteries in the electric vehicle industry, accidents caused by lithium-ion batteries seem to be reported more and more frequently. These unfortunate incidents not only caused losses in personnel and materials, but also seriously affected the reputation of battery industry manufacturers and hindered the rapid development of related industries. As a result, people have put forward higher requirements for the charging and discharging safety of lithium-ion batteries. These requirements not only give higher expectations to the material system of lithium-ion batteries themselves, but also raise the standard for more accurate and reliable battery management technology.

[0003] The phenomenon of lithium plating at the negative electrode is currently considered to be one of the most critical factors affecting battery performance. The occurrence of lithium plating will not only accelerate battery aging but also pose a safety hazard in later use. Lithium plating usually occurs during the charging process of lithium batteries, and lithium ions are deposited as metallic lithium on the surface of the negative electrode material of the battery instead of being embedded in the negative electrode material.

[0004] Since lithium plating has a significant impact on the performance and safety of lithium-ion batteries, people have been committed to further clarifying its impact mechanism and developing its detection technology, such as charge transfer impedance detection method and low current discharge method. However, the impedance detection method requires the use of high-precision measuring instruments, and the low current discharge method consumes additional energy to provide input current to the battery. Considering the shortcomings of existing detection technologies, it is necessary to propose a lithium plating detection method that is more convenient and suitable for vehicle-mounted systems. This method can measure parameters with the help of existing sensors on the vehicle, and can determine whether the battery has lithium plating without consuming additional energy. Summary of the invention

[0005] As mentioned above, in order to determine whether a rechargeable battery fails in terms of performance and safety, it is necessary to detect whether lithium deposition occurs in the battery. To this end, the present disclosure provides a method for detecting lithium deposition in a rechargeable battery, an in-vehicle networking device, a remote server, a computer-readable storage medium, a computer program product, and a vehicle.

[0006] A first aspect of the present disclosure proposes a method for detecting lithium deposition in a rechargeable battery, the method being executed by an on-board networking device, the method comprising: receiving first data of a battery's voltage relative to time, wherein the first data is collected within a first time period after the battery is charged with a constant current by a charging device until it is fully charged, and the battery remains stationary within the first time period; sending the first data to a remote server; and receiving a message from the remote server as to whether the battery is undergoing lithium deposition.

[0007] This method utilizes the transceiver function of the vehicle-mounted networking equipment and the data processing function of the remote server, and can quickly and accurately analyze whether the battery has lithium deposition.

[0008] In one embodiment, the method also includes sending a first control signal or a second control signal to a human-computer interaction device of the vehicle based on the message, wherein the first control signal is used to enable the human-computer interaction device to provide an indication of a charging failure to a user, and the second control signal is used to enable the human-computer interaction device to provide an indication of charging completion to the user.

[0009] In one embodiment, the first data is collected by a battery management system.

[0010] In one embodiment, the in-vehicle networking device obtains energy from the charging device to perform an operation, and the operation includes receiving the first data, sending the first data, and receiving the message of whether the battery has lithium deposition.

[0011] In one embodiment, the battery includes one of the following: a battery module, a battery cell.

[0012] A second aspect of the present disclosure proposes a method for detecting lithium deposition in a rechargeable battery, the method being executed by a remote server, the method comprising: receiving first data of a battery's voltage relative to time, wherein the first data is collected within a first time period after the battery is charged with a constant current by a charging device until it is fully charged, and the battery remains stationary during the first time period; obtaining a first relationship curve of the voltage relative to time based on the first data; taking the derivative of the first relationship curve to obtain a second relationship curve of the voltage relative to time; correspondingly determining whether the battery is depositing lithium based on whether an extreme point exists in the second relationship curve; and sending a message indicating whether the battery is depositing lithium.

[0013] In one embodiment, the remote server receives the first data from an in-vehicle networking device, and the remote server sends the message to the in-vehicle networking device.

[0014] In one embodiment, the remote server comprises a cloud server.

[0015] The third aspect of the present disclosure proposes an in-vehicle networking device, comprising: a first receiving unit, which is configured to receive first data of a battery's voltage relative to time, wherein the first data is collected within a first time period after the battery is charged with a constant current by a charging device until it is fully charged, and the battery remains stationary during the first time period; a second sending unit, which is configured to send the first data to a remote server; and a second receiving unit, which is configured to receive a message from the remote server as to whether the battery has lithium deposition.

[0016] The fourth aspect of the present disclosure proposes a remote server, comprising: a receiving unit, which is configured to receive first data of a battery's voltage relative to time, wherein the first data is collected within a first time period after the battery is charged with a constant current by a charging device until it is fully charged, and the battery remains stationary during the first time period; a determination unit, which is configured to obtain a first relationship curve of the voltage relative to time based on the first data, the determination unit derives the first relationship curve to obtain a second relationship curve of the voltage relative to time, and is further configured to determine whether the battery has lithium deposition based on whether there is an extreme point in the second relationship curve; a sending unit, which is configured to send a message indicating whether the battery has lithium deposition.

[0017] A fifth aspect of the present disclosure provides a computer-readable storage medium having computer-executable instructions stored thereon, wherein the computer-executable instructions are used to execute the above-mentioned method for detecting lithium deposition in a rechargeable battery.

[0018] A sixth aspect of the present disclosure proposes a computer program product, which is stored on a computer-readable storage medium and includes computer-executable instructions, which, when executed, enable at least one processor to perform the above-mentioned method for detecting lithium deposition in a rechargeable battery.

[0019] A seventh aspect of the present disclosure proposes a vehicle, which includes the above-mentioned in-vehicle networking device. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The features, advantages and other aspects of various embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings, wherein several embodiments of the present disclosure are shown in an illustrative and non-limiting manner.

[0021] Figure 1 A system architecture diagram for implementing a lithium plating detection method according to an embodiment of the present disclosure is shown.

[0022] Figure 2A schematic block diagram of a method for detecting lithium deposition in a rechargeable battery according to an embodiment of the present disclosure is shown.

[0023] Figure 3 A schematic block diagram of a method for detecting lithium deposition in a rechargeable battery according to an embodiment of the present disclosure is shown.

[0024] Figure 4 A first plot of voltage versus time is shown in accordance with an embodiment of the present disclosure.

[0025] Figure 5 A second plot of voltage versus time is shown in accordance with an embodiment of the present disclosure.

[0026] Figure 6 A schematic block diagram of a method for detecting lithium deposition in a rechargeable battery according to an embodiment of the present disclosure is shown.

[0027] Figure 7 An in-vehicle networking device according to an embodiment of the present disclosure is shown.

[0028] Figure 8 A remote server according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0029] The various exemplary embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. Although the exemplary methods and devices described below include software and / or firmware executed on hardware among other components, it should be noted that these examples are merely illustrative and should not be regarded as restrictive. For example, it is considered that any or all hardware, software, and firmware components can be implemented exclusively in hardware, exclusively in software, or in any combination of hardware and software. Therefore, although exemplary methods and devices have been described below, it should be readily understood by those skilled in the art that the examples provided are not intended to limit the manner in which these methods and devices are implemented.

[0030] In addition, the flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions and operations of the methods and systems according to the various embodiments of the present disclosure. It should be noted that the functions marked in the boxes may also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession may actually be executed substantially in parallel, or they may sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the flowchart and / or block diagram, and the combination of boxes in the flowchart and / or block diagram, may be implemented using a dedicated hardware-based system that performs a specified function or operation, or may be implemented using a combination of dedicated hardware and computer instructions.

[0031] For the convenience of description, some terms appearing in the present disclosure are explained below. It should be understood that the terms used in the present application should be interpreted as having the same meaning as in the context of the present application specification and in the relevant field. The terms "including", "comprising" and similar terms in the present disclosure should be understood as open terms, i.e., "including but not limited to", indicating that other contents may also be included.

[0032] As mentioned above, in order to determine whether a rechargeable battery has a performance or safety failure, it is necessary to detect whether the battery has lithium plating. Combined with the vehicle application environment of the rechargeable battery, this detection method should be as simple and effective as possible.

[0033] To this end, the present disclosure proposes a method for detecting lithium deposition in a rechargeable battery, which is performed by an in-vehicle networking device, and includes: receiving first data of the voltage of the battery relative to time, wherein the first data is collected in a first time period after the battery is charged by a charging device with a constant current until it is fully charged, and the battery remains stationary in the first time period; sending the first data to a remote server; and receiving a message from the remote server whether the battery has lithium deposition. The method utilizes the transceiver function of the in-vehicle networking device and the data processing function of the remote server, and can quickly and accurately analyze whether the battery has lithium deposition. The first data received by the in-vehicle networking device is collected by existing sensors on the vehicle, so the detection function can be completed without adding new measuring equipment.

[0034] Figure 1 The system architecture diagram of the lithium precipitation detection method according to the embodiment of the present disclosure is shown. The system includes at least an in-vehicle networking device 101, a vehicle 102, and a remote server 103. The in-vehicle networking device 101 (such as TBOX) serves as a connection node between the vehicle 102 and the remote server 103, and undertakes the information interaction function between the vehicle 102 and the remote server 103. The in-vehicle networking device 101 can communicate with the vehicle 102 through, for example, a CAN bus, obtain vehicle information and realize control of the vehicle 102. The in-vehicle networking device 101 can also be implemented based on a gateway module, and a 3G / 4G / 5G module is added to the gateway module, so as to have the ability to communicate with the remote server 103. For example, the in-vehicle networking device 101 can actively collect the required vehicle information and send it to the remote server 103, and can also execute the vehicle control instructions sent by the remote server 103. In some examples, the system also includes a mobile phone terminal 104. The remote server 103 can also send vehicle control instructions or reminders of vehicle conditions to the user's mobile phone terminal 104 to further remind the user to pay attention.

[0035] The vehicle 102 is a pure electric vehicle or a hybrid vehicle, including but not limited to a sedan, SUV, truck, bus, etc. A battery pack 105 is provided on the vehicle 102. The battery pack 105 is the final form of the battery system installed in the electric vehicle, which includes a plurality of battery modules 106 and a battery management system 107. The battery module 106 is composed of a certain number of cells connected together and placed in a frame. The battery management system 107 is used to intelligently manage each battery unit, for example, by measuring parameters such as temperature and voltage to monitor the state of the battery pack to prevent the battery pack from overheating, overcharging, over-discharging, etc.

[0036] Figure 2 A schematic block diagram of a method 200 for detecting lithium deposition in a rechargeable battery according to an embodiment of the present disclosure is shown. The method 200 is executed by an in-vehicle networking device and includes steps S201 to S203.

[0037] Step S201: The in-vehicle networking device receives first data of the voltage of a battery relative to time. The first data is collected in a first time period after the battery is charged by a charging device with a constant current until it is fully charged. The battery remains stationary in the first time period.

[0038] In one embodiment, the vehicle is connected to a charging pile, and the charging pile charges the battery pack with a constant current, such as slowly charging at a rate of 0.05C, quickly charging at a rate of 1C, or charging at any other constant rate. The charging rate is used to indicate the magnitude of the current when the battery is charging or discharging. Maintaining a constant charging rate means charging the battery at a constant current. If the charging rate is larger, the corresponding charging current is also larger, and the battery can be charged in a shorter time. The battery management system is kept in an awake state after charging is completed. Within the first time period after the battery is fully charged, for example, within 3 hours after being fully charged, the battery management system measures the open circuit voltage of the battery, and then obtains the first data of the voltage relative to time. During the first time period, the battery should remain stationary and the user should not use the electric vehicle, so that the relaxation voltage of the battery after charging can be obtained more accurately. The battery management system can send the first data to the vehicle networking device via the vehicle's CAN bus.

[0039] Step S202: The vehicle-mounted networking device sends the first data to the remote server.

[0040] In response to the received first data, the in-vehicle networking device actively starts a data reporting process to the remote server. The remote server includes a cloud server. For example, the in-vehicle networking device first establishes a GPRS wireless communication network connection with the remote server. After the connection is successful, the first data is encapsulated and uploaded to the remote server according to the wireless communication protocol, and the remote server is awaited for a response. After receiving the information, the remote server responds to the in-vehicle networking device, indicating that the message has been received. At this time, the in-vehicle networking device ends the reporting process. Subsequently, the remote server analyzes the first data to determine whether the battery has lithium plating. The analysis steps will be described in detail below.

[0041] Step S203: The vehicle-mounted networking device receives a message from a remote server as to whether the battery has lithium deposition.

[0042] After analysis, the remote server sends a message about whether the battery has lithium deposition to the in-vehicle networking device. Based on the message that lithium deposition has occurred in the battery, the in-vehicle networking device sends a first control signal to the vehicle's human-computer interaction device, and the first control signal enables the human-computer interaction device to provide the user with an indication of a charging failure. For example, the charging indicator light turns red, and a prompt message of a charging failure is displayed on the central control screen. Alternatively, the in-vehicle networking device sends a second control signal to the vehicle's human-computer interaction device based on the message that lithium deposition has not occurred in the battery, and the second control signal enables the human-computer interaction device to provide the user with an indication that charging is complete. For example, the charging indicator light turns green, and a prompt message of successful charging is displayed on the central control screen.

[0043] The user connects the electric vehicle to the charging pile for charging, and the most common situation is overnight charging. The battery of the electric vehicle remains connected to the charging pile after being fully charged, and is at rest for several hours thereafter. At this time, it is not only convenient for the battery management system to collect the relaxation voltage of the battery, but also the charging pile can provide the energy required to transmit data. Specifically, the vehicle networking device obtains energy from the charging device to perform operations, including but not limited to receiving first data, sending first data, and receiving information on whether the battery has lithium deposition. Therefore, the detection method provided by the present disclosure does not consume the energy of the battery, and the energy obtained from charging the battery will be used for driving and other power usage on the vehicle.

[0044] As mentioned above, the battery pack is composed of multiple battery modules, and the battery module is composed of multiple battery cells. The battery of this embodiment can be a battery module or a battery cell. By analyzing the voltage of the battery module, it can be determined that lithium deposition has occurred in a certain battery module, and then the battery module can be replaced, which is more in line with actual maintenance. Analyzing the voltage of all the batteries in the battery pack can not only locate the specific battery cell with a fault, but also more accurately analyze the lithium deposition of the battery pack.

[0045] Figure 3A schematic block diagram of a method 300 for detecting lithium deposition in a rechargeable battery according to an embodiment of the present disclosure is shown. The method 300 is executed at a remote server and includes steps S301 to S305.

[0046] Step S301: A remote server receives first data of a battery voltage relative to time. The first data is collected in a first time period after the battery is charged with a constant current by a charging device until it is fully charged, and the battery remains stationary in the first time period.

[0047] As described in step S201, the first data is used to reflect the relaxation voltage of the battery after charging. The lithium-ion battery is charged to a specified voltage with a certain current. At the moment of disconnecting the external circuit, the voltage will drop rapidly, and then it will slowly change after a period of time before reaching a stable state. This phenomenon is called the relaxation process, and the voltage during this period is the relaxation voltage. The detection method disclosed in the present invention is to analyze the relaxation behavior of the battery, and then obtain a conclusion on whether the battery has lithium deposition. The remote server receives the first data from the vehicle-mounted networking device, and performs subsequent processing and analysis on the data.

[0048] Step S302: The remote server obtains a first relationship curve of voltage with respect to time based on the first data.

[0049] Figure 4 1 shows a first relationship curve of voltage with respect to time according to the present embodiment. The battery is charged at a charging rate of 1C and C / 20 until it is fully charged (i.e., the SOC reaches 100%). Subsequently, the open circuit voltage data is collected within 4 hours when the battery is in a static state after being fully charged, and the first relationship curve for the 1C charging rate represented by a solid line and the first relationship curve for the C / 20 charging rate represented by a dotted line are obtained respectively. Figure 4 As shown, the horizontal axis is time, the unit is h, and the vertical axis is voltage, the unit is V. It can be observed that the voltage of the battery slowly decreases until it stabilizes after being fully charged, that is, relaxation behavior occurs.

[0050] Step S303: the remote server derives the first relationship curve to obtain a second relationship curve of voltage relative to time.

[0051] Figure 5 FIG. 4 shows a second relationship curve of voltage with respect to time according to the present embodiment, including a second relationship curve for 1C charging rate represented by a solid line and a second relationship curve for C / 20 charging rate represented by a dotted line. Figure 5 As shown, the horizontal axis is time, the unit is h, and the vertical axis is U′, the unit is V·h -1 .in, U′=dU / dt That is, U′ refers to the value obtained by taking the derivative of the open circuit voltage U with respect to time.

[0052] Step S304: The remote server determines whether the battery has lithium deposition based on whether there is an extreme point on the second relationship curve.

[0053] If the second relationship curve has an extreme point, it means that the battery is lithium-deposited; if it does not have an extreme point, it means that the battery is not lithium-deposited. Figure 5 In the second relationship curve for 1C charging rate, there is an extreme point A at t=1.4h, which indicates that lithium deposition occurs in the battery at 1C charging rate. In the second relationship curve for C / 20 charging rate, although there is a maximum value when the time approaches 4 hours, the derivatives on the left and right sides of this point have no opposite signs, so this point is not an extreme point, and it can be determined that there is no lithium deposition in the battery at C / 20 charging rate.

[0054] Step S305: The remote server sends a message to determine whether the battery has lithium deposition.

[0055] In this embodiment, the remote server preferably sends a message to the vehicle-mounted networking device whether the battery has lithium deposition. In other examples, the remote server also sends the message to the mobile phone terminal to further remind the user to pay attention.

[0056] Figure 6 A schematic block diagram of a method 600 for detecting lithium deposition in a rechargeable battery according to an embodiment of the present disclosure is further shown. The method 600 is jointly executed by the vehicle networking device and the remote server, and includes steps S601 to S605.

[0057] At step S601, the vehicle networking device receives first data of the voltage of the battery relative to time. At step S602, the vehicle networking device sends the first data to the remote server. At step S603, the remote server obtains a first relationship curve of voltage relative to time based on the first data. At step S604, the remote server derives the first relationship curve to obtain a second relationship curve of voltage relative to time. At step S605, the remote server determines whether the battery is lithium-precipitated based on whether there are extreme points in the second relationship curve. At step S606, the remote server sends a message to the vehicle networking device whether the battery is lithium-precipitated. At step S607, the vehicle networking device sends a first control signal to the human-computer interaction device on the vehicle. At step S608, the vehicle networking device sends a second control signal to the human-computer interaction device on the vehicle. The specific execution details of method 600 can be referred to the above-mentioned methods 200 and 300, which will not be repeated here.

[0058] The above-mentioned methods 200, 300, and 600 utilize the transceiver function of the vehicle-mounted networking device and the data processing function of the remote server, and can quickly and accurately analyze whether the battery has lithium deposition. The first data received by the vehicle-mounted networking device is acquired by the existing sensor on the vehicle, so the detection function can be completed without adding new measuring equipment. In addition, the detection method provided by the present disclosure does not consume the energy of the battery, and the energy obtained by charging the battery will be used for driving and other power usage on the vehicle.

[0059] Figure 7 An in-vehicle networking device 700 according to an embodiment of the present disclosure is shown. Figure 7 Each unit in the vehicle networking device 700 can be implemented by software, hardware (such as integrated circuits, FPGA, etc.) or a combination of software and hardware. The vehicle networking device 700 includes a first receiving unit 701, a second sending unit 702, and a second receiving unit 703. The first receiving unit 701 is configured to receive first data of the voltage of the battery relative to time, wherein the first data is collected in a first time period after the battery is charged with a constant current by a charging device until it is fully charged, and the battery remains stationary in the first time period. The second sending unit 702 is configured to send the first data to a remote server. The second receiving unit 703 is configured to receive a message from a remote server whether the battery has lithium deposition.

[0060] Figure 8 A remote server 800 is shown according to one embodiment of the present disclosure. Figure 8 Each unit in can be implemented by software, hardware (such as integrated circuits, FPGA, etc.) or a combination of software and hardware. The remote server 800 includes a receiving unit 801, a determining unit 802, and a sending unit 803. The receiving unit 801 is configured to receive first data of the voltage of the battery relative to time, wherein the first data is collected in a first time period after the battery is charged with a constant current by a charging device until it is full, and the battery remains stationary in the first time period. The determining unit 802 is configured to obtain a first relationship curve of voltage relative to time based on the first data, and the determining unit derives the first relationship curve to obtain a second relationship curve of voltage relative to time, and is also configured to determine whether the battery is lithium-deposited based on whether there is an extreme point in the second relationship curve. The sending unit 803 is configured to send a message whether the battery is lithium-deposited.

[0061] In addition, the above method can be implemented by a computer-readable storage medium. The computer-readable storage medium is loaded with computer-readable program instructions for executing various embodiments of the present disclosure. The computer-readable storage medium can be a tangible device that can hold and store instructions used by an instruction execution device. The computer-readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the above. More specific examples (non-exhaustive lists) of computer-readable storage media include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a protruding structure in a groove on which instructions are stored, and any suitable combination of the above. The computer-readable storage medium used herein is not to be construed as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., light pulses through a fiber optic cable), or an electrical signal transmitted through wires.

[0062] Therefore, in another embodiment, the present disclosure proposes a computer-readable storage medium having computer-executable instructions stored thereon, and the computer-executable instructions are used to execute the method 200 or method 300 for detecting lithium deposition in a rechargeable battery in various embodiments of the present disclosure.

[0063] In another embodiment, the present disclosure provides a computer program product, which is tangibly stored on a computer-readable storage medium and includes computer-executable instructions, which, when executed, cause at least one processor to perform method 200 or method 300 for detecting lithium deposition in a rechargeable battery in various embodiments of the present disclosure.

[0064] In another embodiment, the present disclosure further provides a vehicle, which includes an in-vehicle networking device 700 .

[0065] In general, various example embodiments of the present disclosure may be implemented in hardware or dedicated circuits, software, firmware, logic, or any combination thereof. Certain aspects may be implemented in hardware, while other aspects may be implemented in firmware or software that may be executed by a controller, microprocessor, or other computing device. When various aspects of the embodiments of the present disclosure are illustrated or described as block diagrams, flow charts, or using some other graphical representation, it will be understood that the blocks, devices, systems, techniques, or methods described herein may be implemented in hardware, software, firmware, dedicated circuits or logic, general hardware or controllers or other computing devices, or some combination thereof as non-limiting examples.

[0066] Computer-readable program instructions or computer program products for executing the various embodiments of the present disclosure can also be stored in the cloud. When needed, users can access the computer-readable program instructions for executing an embodiment of the present disclosure stored in the cloud through mobile Internet, fixed network or other networks, thereby implementing the technical solutions disclosed in accordance with the various embodiments of the present disclosure.

[0067] Although the embodiments of the present disclosure have been described with reference to several specific embodiments, it should be understood that the embodiments of the present disclosure are not limited to the specific embodiments invented. The embodiments of the present disclosure are intended to cover various modifications and equivalent arrangements included in the spirit and scope of the appended claims. The scope of the claims is consistent with the broadest interpretation, thereby including all such modifications and equivalent structures and functions.

Claims

1. A method for detecting lithium deposition in a rechargeable battery, the method being performed by an in-vehicle networking device, the method comprising: Receiving first data of a voltage of a battery relative to time, wherein the first data is collected in a first time period after the battery is charged with a constant current by a charging device until it is fully charged, and the battery remains stationary in the first time period; sending the first data to a remote server; and Receive a message from the remote server whether the battery has lithium deposition.

2. The method according to claim 1 further comprises sending a first control signal or a second control signal to a human-machine interaction device of the vehicle based on the message, wherein: The first control signal is used to enable the human-computer interaction device to provide an indication of a charging failure to the user, and the second control signal is used to enable the human-computer interaction device to provide an indication of a charging completion to the user.

3. The method according to claim 1, wherein: The first data is collected by a battery management system.

4. The method according to claim 1, wherein: The in-vehicle networking device obtains energy from the charging device to perform operations, and the operations include receiving the first data, sending the first data, and receiving the message of whether the battery has lithium deposition.

5. The method according to claim 1, wherein: The battery includes one of the following items: a battery module, a battery cell.

6. A method for detecting lithium deposition in a rechargeable battery, the method being executed by a remote server, the method comprising: Receiving first data of a voltage of a battery relative to time, wherein the first data is collected in a first time period after the battery is charged with a constant current by a charging device until it is fully charged, and the battery remains stationary in the first time period; Obtaining a first relationship curve of the voltage with respect to time based on the first data; Deriving the first relationship curve to obtain a second relationship curve of the voltage relative to time; Determining whether the battery has lithium deposition based on whether the second relationship curve has an extreme point; and A message is sent to determine whether the battery has lithium deposition.

7. The method according to claim 6, wherein: The remote server receives the first data from the in-vehicle networking device, and the remote server sends the message to the in-vehicle networking device.

8. The method according to claim 6, wherein: The remote server includes a cloud server.

9. A vehicle networking device, comprising: A first receiving unit, configured to receive first data of a voltage of a battery relative to time, wherein the first data is collected in a first time period after the battery is charged with a constant current by a charging device until it is fully charged, and the battery remains stationary in the first time period; A second sending unit, configured to send the first data to a remote server; and The second receiving unit is configured to receive a message from the remote server indicating whether the battery has lithium deposition.

10. A remote server, comprising: a receiving unit configured to receive first data of a voltage of a battery relative to time, wherein the first data is collected in a first time period after the battery is charged with a constant current by a charging device until it is fully charged, and the battery remains stationary in the first time period; a determination unit, configured to obtain a first relationship curve of the voltage relative to time based on the first data, the determination unit deriving the first relationship curve to obtain a second relationship curve of the voltage relative to time, and further configured to determine whether the battery undergoes lithium deposition based on whether an extreme point exists in the second relationship curve; A sending unit is configured to send a message whether the battery has lithium deposition.

11. A computer-readable storage medium having computer-executable instructions stored thereon, wherein the computer-executable instructions are used to execute the method for detecting lithium deposition in a rechargeable battery according to any one of claims 1 to 8.

12. A computer program product, which is stored on a computer-readable storage medium and comprises computer-executable instructions, which, when executed, cause at least one processor to perform the method for detecting lithium deposition in a rechargeable battery according to any one of claims 1 to 8.

13. A vehicle, comprising the in-vehicle networking device according to claim 9.

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