Battery anomaly detection method, device and equipment and storage medium

Abstract

The invention provides a battery anomaly detection method, device and equipment and a storage medium, and relates to the technical field of batteries, the method comprises the following steps: obtaining a first battery parameter of a battery at a first moment, the first battery parameter being used for representing the performance and state of the battery at the first moment; obtaining a second battery parameter of the battery at a second moment, wherein the second battery parameter is used for representing the performance and the state of the battery at the second moment; obtaining a battery temperature and a system temperature in the target mode; and determining whether the battery is abnormal based on the first battery parameter, the second battery parameter, the battery temperature and the system temperature. According to the scheme, by analyzing the first battery parameter, the second battery parameter, the battery temperature and the system temperature, early warning can be given out before the battery expands to a certain degree, and safety accidents caused by excessive expansion of the battery are avoided.

Description

Technical Field

[0001] The present disclosure relates to the technical field of batteries, and in particular to a battery abnormality detection method, device, equipment and storage medium. Background Art

[0002] Battery expansion, or battery bulging, refers to the phenomenon that the battery shell expands and deforms during use due to runaway internal chemical reactions, overcharging, aging, overheating, improper use, manufacturing defects, etc. This expansion may cause risks such as battery leakage of toxic gases, fire, unstable power supply, and squeezing of other devices.

[0003] The battery can still be used normally in the initial swelling stage, which makes it difficult for ordinary users to judge that the battery is abnormal based on appearance or usage experience. Only when the battery swells to a certain extent and begins to affect the normal operation of the system or cause damage to other parts, the user may notice the problem. In order to reduce this risk, a battery abnormality detection method is needed. Summary of the invention

[0004] The present disclosure provides a battery abnormality detection method, device, equipment and storage medium to at least solve the above technical problems existing in the prior art.

[0005] According to a first aspect of the present disclosure, a battery abnormality detection method is provided, the method comprising:

[0006] Obtaining a first battery parameter of the battery at a first moment, where the first battery parameter is used to characterize the performance and state of the battery at the first moment;

[0007] Obtaining a second battery parameter of the battery at a second moment, where the second battery parameter is used to characterize the performance and state of the battery at the second moment;

[0008] Get battery temperature and system temperature in target mode;

[0009] It is determined whether a battery is abnormal based on the first battery parameter and the second battery parameter and the battery temperature and the system temperature.

[0010] In one possible implementation, the determining whether the battery is abnormal based on the first battery parameter and the second battery parameter and the battery temperature and the system temperature includes:

[0011] Obtaining a first comparison result based on the first battery parameter and the second battery parameter;

[0012] obtaining a second comparison result based on the battery temperature and the system temperature;

[0013] Whether the battery is abnormal is determined based on the first comparison result and / or the second comparison result.

[0014] In one possible implementation manner, the first battery parameter includes a first battery voltage, and the second battery parameter includes a second battery voltage; accordingly, obtaining a first comparison result based on the first battery parameter and the second battery parameter includes:

[0015] If the difference between the second battery voltage and the first battery voltage is greater than a voltage threshold, the first comparison result is that the battery self-discharge is abnormal.

[0016] In one possible implementation manner, the first battery parameter includes a first full charge capacity, and the second battery parameter includes a second full charge capacity; accordingly, obtaining a first comparison result based on the first battery parameter and the second battery parameter includes:

[0017] If the ratio of the difference between the second full charge capacity and the first full charge capacity to the battery design capacity is greater than the capacity drop threshold, the first comparison result is abnormal battery aging.

[0018] In one possible implementation, obtaining a second comparison result based on the battery temperature and the system temperature includes:

[0019] If the difference between the battery temperature and the system temperature is greater than a temperature difference threshold, the second comparison result is that the battery is abnormally heated.

[0020] In one embodiment, the method further comprises:

[0021] If the battery is determined to be abnormal based on the first comparison result and / or the second comparison result, a warning message is output.

[0022] According to a second aspect of the present disclosure, a battery detection device is provided, the device comprising:

[0023] A first acquisition module, used to obtain a first battery parameter of the battery at a first moment, where the first battery parameter is used to characterize the performance and state of the battery at the first moment;

[0024] A second acquisition module, used for obtaining a second battery parameter of the battery at a second moment, wherein the first battery parameter is used for characterizing the performance and state of the battery at the first moment;

[0025] A third acquisition module is used to obtain the battery temperature and the system temperature in the target mode;

[0026] A determination module is used to determine whether the battery is abnormal based on the first battery parameter and the second battery parameter and the battery temperature and the system temperature.

[0027] In one embodiment, the device further comprises:

[0028] The prompt module is used to output warning information after determining that the battery is abnormal.

[0029] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0030] at least one processor; and

[0031] a memory communicatively connected to the at least one processor; wherein,

[0032] 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 present disclosure.

[0033] 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 cause the computer to execute the method described in the present disclosure.

[0034] The present disclosure provides a battery abnormality detection method, device, equipment and storage medium, which obtains a first battery parameter of the battery at a first moment, and the first battery parameter is used to characterize the performance and state of the battery at the first moment; then obtains a second battery parameter of the battery at a second moment, and the second battery parameter is used to characterize the performance and state of the battery at the second moment; obtains the battery temperature and the system temperature in a target mode; and then determines whether the battery is abnormal based on the first battery parameter, the second battery parameter, the battery temperature and the system temperature. By analyzing the first battery parameter, the second battery parameter, the battery temperature and the system temperature, an early warning can be issued before the battery expands to a certain extent, thereby avoiding safety accidents caused by excessive expansion of the battery.

[0035] 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 disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The above and other objects, features and advantages of the exemplary embodiments of the present disclosure will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present disclosure are shown in an exemplary and non-limiting manner, in which:

[0037] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts.

[0038] Figure 1 A schematic diagram showing a flow chart of a battery abnormality detection method according to an embodiment of the present disclosure is shown;

[0039] Figure 2 A schematic diagram showing a flow chart of another battery abnormality detection method according to an embodiment of the present disclosure;

[0040] Figure 3 A schematic diagram of a battery abnormality detection device according to an embodiment of the present disclosure is shown;

[0041] Figure 4 A schematic diagram showing another battery abnormality detection device according to an embodiment of the present disclosure is shown;

[0042] Figure 5 A schematic diagram of the structure of an electronic device according to an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0043] In order to make the purpose, features, and advantages of the present disclosure more obvious and easy to understand, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present disclosure.

[0044] At present, the only way to determine whether a battery is swollen is to wait until the battery swells to the point of damaging the system or being dismantled before discovering the abnormality. This is too late. The abnormal expansion of the battery and the squeezing of other parts may cause explosions and combustion, posing a safety hazard. Based on this, a battery abnormality detection method is needed to determine battery abnormalities in advance, intervene in time, and reduce risks.

[0045] According to the embodiments of the present disclosure, Figure 1 A schematic flow chart of a battery abnormality detection method is shown, the method comprising:

[0046] S1. Obtain a first battery parameter of a battery at a first moment, where the first battery parameter is used to characterize the performance and state of the battery at the first moment.

[0047] At a first moment, first battery parameters of the battery are obtained, and these parameters can reflect the performance and state of the battery at that moment, such as the voltage, current, internal resistance, capacity, etc. of the battery.

[0048] The current parameter reflects the current charge and discharge state of the battery and is a direct reflection of the battery's energy conversion. Based on the magnitude and direction of the current, it can be determined whether the battery is charging or discharging, as well as the charge and discharge rate. The average current parameter reflects the average charge and discharge of the battery over a period of time, which helps to understand the battery's usage pattern and energy consumption.

[0049] The battery voltage parameters can also be obtained in some specific modes, for example, in AC mode, when the charging current is 0, the battery voltage is obtained. The stability of the battery voltage is very critical to the performance of the electronic device.

[0050] The Remaining State of Charge (RSOC) parameter provides information about the percentage of the battery's current remaining power. Based on RSOC, you can evaluate battery life and plan usage time.

[0051] The cycle count parameter records the number of complete cycles of the battery from full discharge to full charge (or vice versa), and is an important indicator for evaluating battery life and performance degradation.

[0052] The full charge capacity parameter indicates the amount of electricity that a battery can store when fully charged. It reflects the battery's energy storage capacity and health. As the battery ages, the full charge capacity usually decreases gradually.

[0053] The full charge flag parameter is a simple status indicator used to tell the user whether the battery is fully charged. It is important for determining the battery charging status and avoiding overcharging.

[0054] S2. Obtain a second battery parameter of the battery at a second moment, where the second battery parameter is used to characterize the performance and state of the battery at the second moment.

[0055] When the battery is used for a preset time (for example, 1 hour), at the second time, the second battery parameter of the battery is obtained. Similarly, the second battery parameter is the same as the first battery parameter.

[0056] S3. Obtain the battery temperature and the system temperature in target mode.

[0057] Target mode refers to a battery monitoring scenario where the electronic device using the battery is in a specific low-power or inactive state. Target mode is designed to capture the temperature of the battery when the electronic device is not in full power operation or standby state, so as to more accurately assess the health of the battery and detect potential anomalies.

[0058] For example, taking a laptop as an example, the target mode refers to when the computer is in S3 state, that is, when the system is not in use. In S3 state, other components of the computer (such as CPU, hard disk, etc.) are basically in sleep or low power state, which can reduce the interference on the battery state caused by the operation of other components. Therefore, detecting battery parameters in this state can more accurately reflect the true state of the battery and reduce the false alarm rate. In addition, in S3 state, the battery mainly bears the task of maintaining the standby power consumption of the system, and its working state is relatively stable, which helps to more accurately detect changes in battery parameters, thereby more accurately judging whether the battery is abnormal.

[0059] The battery temperature is obtained in the target mode because the battery temperature indicates the current operating temperature of the battery and has an important impact on the safe operation and performance of the battery. Too high or too low temperature may damage the battery and reduce its service life.

[0060] S4. Determine whether the battery is abnormal based on the first battery parameter, the second battery parameter, the battery temperature, and the system temperature.

[0061] Finally, an analysis is performed based on the first battery parameter, the second battery parameter, the battery temperature, and the system temperature to determine whether the battery is abnormal, that is, whether the battery is swollen.

[0062] In the above scheme, the first battery parameter of the battery at the first moment is obtained, and the first battery parameter is used to characterize the performance and state of the battery at the first moment; then the second battery parameter of the battery at the second moment is obtained, and the second battery parameter is used to characterize the performance and state of the battery at the second moment; the battery temperature and the system temperature are obtained in the target mode; and then it is determined whether the battery is abnormal based on the first battery parameter and the second battery parameter as well as the battery temperature and the system temperature. By analyzing the first battery parameter, the second battery parameter, the battery temperature and the system temperature, an early warning can be issued before the battery expands to a certain extent, thereby avoiding safety accidents caused by excessive expansion of the battery.

[0063] In one example, determining whether the battery is abnormal based on the first battery parameter and the second battery parameter and the battery temperature and the system temperature includes:

[0064] Obtaining a first comparison result based on the first battery parameter and the second battery parameter;

[0065] obtaining a second comparison result based on the battery temperature and the system temperature;

[0066] Whether the battery is abnormal is determined based on the first comparison result and / or the second comparison result.

[0067] Because the first battery parameter and the second battery parameter characterize the performance and state of the battery at different time points, the first battery parameter is compared with the second battery parameter, and the change of the battery parameter over time is analyzed to obtain a first comparison result. For example, if the internal resistance of the battery increases significantly, or the capacity decreases significantly, this may indicate that the battery is aging or damaged.

[0068] The battery temperature is compared with the system temperature to obtain a second comparison result; the size of the temperature difference between the two reflects the heat dissipation performance of the battery, or whether there is abnormal heating inside the battery.

[0069] After obtaining the first comparison result and the second comparison result, it is determined whether the battery is abnormal, that is, whether it is swollen, based on the two results. If both the first comparison result and the second comparison result show abnormality, then the battery is determined to be abnormal, or if one of the first comparison result and the second comparison result shows abnormality, then the battery is determined to be abnormal.

[0070] In one example, the first battery parameter includes a first battery voltage, and the second battery parameter includes a second battery voltage; accordingly, obtaining a first comparison result based on the first battery parameter and the second battery parameter includes:

[0071] If the difference between the second battery voltage and the first battery voltage is greater than a voltage threshold, the first comparison result is that the battery self-discharge is abnormal.

[0072] The voltage threshold is used to determine whether the change in battery voltage exceeds the normal range. The threshold can be set according to the type, specification, usage conditions and safety standards of the battery. For example, in this example, the voltage threshold is set to 5mV / hrs, indicating that if the battery voltage changes by more than 5mV within a specific time interval (for example, every hour), it is considered abnormal. The difference between the first battery voltage and the second battery voltage can be calculated. If the voltage difference is greater than the voltage threshold, it indicates that the battery has an abnormal voltage drop during this period, that is, the battery self-discharge is abnormal.

[0073] In one example, the first battery parameter includes a first full charge capacity, and the second battery parameter includes a second full charge capacity; accordingly, obtaining a first comparison result based on the first battery parameter and the second battery parameter includes:

[0074] If the ratio of the difference between the second full charge capacity and the first full charge capacity to the battery design capacity is greater than the capacity drop threshold, the first comparison result is abnormal battery aging.

[0075] The full charge capacity refers to the amount of electricity that the battery can store after being fully charged. The difference between the second full charge capacity and the first full charge capacity is determined, and this difference is compared with the design capacity of the battery (i.e., the full charge capacity calibrated at the factory) to obtain a ratio. In one example, the drop threshold is set to 3%. If the ratio is greater than 3%, the battery aging degree has exceeded the normal range, that is, the battery aging is abnormal.

[0076] In one example, obtaining a second comparison result based on the battery temperature and the system temperature includes:

[0077] If the difference between the battery temperature and the system temperature is greater than a temperature difference threshold, the second comparison result is that the battery is abnormally heated.

[0078] For example, when a laptop is in S3 state, obtain the battery temperature, that is, the current operating temperature of the battery, and obtain the system temperature, that is, the temperature of the entire system or device including the battery. Determine the difference between the battery temperature and the system temperature, which reflects the degree of deviation of the battery temperature from the system temperature. If the difference is greater than the temperature difference threshold, it means that the battery temperature is abnormally high relative to the system temperature, indicating that the battery is heating abnormally. For example, if the temperature difference threshold is set to 5°C, if the difference between the battery temperature and the system temperature is greater than 5°C, that is, the battery temperature is 5°C higher than the system temperature, it means that the battery is heating abnormally.

[0079] When the battery has one of the following problems: abnormal battery self-discharge, abnormal battery aging, or abnormal battery heating, it indicates that the battery has a risk of swelling, that is, the battery is considered abnormal.

[0080] In one example, if Figure 2 As shown, the method also includes:

[0081] S5. If the battery is determined to be abnormal based on the first comparison result and / or the second comparison result, output warning information.

[0082] After determining that the battery is abnormal, an early warning message is output to alert relevant personnel to take necessary measures to ensure the safe and reliable operation of the battery. The output early warning message can be visual information, auditory information or other prompt information. For example, a warning window can pop up on the display screen of the device, displaying a prompt message such as "Battery aging is abnormal, please replace the battery as soon as possible." A specific beep or voice prompt can also be emitted on the electronic device, such as "Battery aging, please replace it." Relevant personnel can also be notified by email, text message or mobile application push. The present disclosure does not limit the specific form of the early warning information.

[0083] According to an embodiment of the present disclosure, a battery abnormality detection device is also provided, such as Figure 3 As shown, the device comprises:

[0084] A first acquisition module 10, used to obtain a first battery parameter of the battery at a first moment, where the first battery parameter is used to characterize the performance and state of the battery at the first moment;

[0085] A second acquisition module 20, used to obtain a second battery parameter of the battery at a second moment, wherein the first battery parameter is used to characterize the performance and state of the battery at the first moment;

[0086] A third acquisition module 30, used to obtain the battery temperature and the system temperature in the target mode;

[0087] The determination module 40 is configured to determine whether the battery is abnormal based on the first battery parameter, the second battery parameter, the battery temperature, and the system temperature.

[0088] In one example, the determination module 40 is further configured to:

[0089] Obtaining a first comparison result based on the first battery parameter and the second battery parameter;

[0090] obtaining a second comparison result based on the battery temperature and the system temperature;

[0091] Whether the battery is abnormal is determined based on the first comparison result and / or the second comparison result.

[0092] In one example, the first battery parameter includes a first battery voltage, and the second battery parameter includes a second battery voltage; the determination module 40 is further configured to:

[0093] If the difference between the second battery voltage and the first battery voltage is greater than a voltage threshold, the first comparison result is that the battery self-discharge is abnormal.

[0094] In one example, the first battery parameter includes a first full charge capacity, and the second battery parameter includes a second full charge capacity; accordingly, the determination module 40 is further configured to:

[0095] If the ratio of the difference between the second full charge capacity and the first full charge capacity to the battery design capacity is greater than the capacity drop threshold, the first comparison result is abnormal battery aging.

[0096] In one example, the determination module 40 is further configured to:

[0097] If the difference between the battery temperature and the system temperature is greater than a temperature difference threshold, the second comparison result is that the battery is abnormally heated.

[0098] In one example, if Figure 4 As shown, the device also includes:

[0099] The prompt module 50 is configured to output a warning message if the battery is determined to be abnormal based on the first comparison result and / or the second comparison result.

[0100] According to an embodiment of the present disclosure, there is also provided an electronic device, including:

[0101] at least one processor; and

[0102] a memory communicatively connected to the at least one processor; wherein,

[0103] 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 present disclosure.

[0104] According to an embodiment of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is further provided, wherein the computer instructions are used to enable the computer to execute the method described in the present disclosure.

[0105] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device and a readable storage medium.

[0106] Figure 5 A schematic block diagram of an example electronic device 800 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.

[0107] like Figure 3 As shown, the device 800 includes a computing unit 801, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 802 or a computer program loaded from a storage unit 808 into a random access memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0108] A number of components in the device 800 are connected to the I / O interface 805, including: an input unit 806, such as a keyboard, a mouse, etc.; an output unit 807, such as various types of displays, speakers, etc.; a storage unit 808, such as a disk, an optical disk, etc.; and a communication unit 809, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0109] The computing unit 801 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 801 performs the various methods and processes described above, such as a battery anomaly detection method. For example, in some embodiments, the battery anomaly detection method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 808. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded into the RAM 803 and executed by the computing unit 801, one or more steps of the battery anomaly detection method described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform the battery anomaly detection method in any other appropriate manner (e.g., by means of firmware).

[0110] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can 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.

[0111] 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.

[0112] 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 equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, 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), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0113] 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).

[0114] The systems and techniques described herein may be implemented in a computing system that includes back-end 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 front-end 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 back-end components, middleware components, or front-end 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: a local area network (LAN), a wide area network (WAN), and the Internet.

[0115] 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 of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0116] 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.

[0117] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present disclosure, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0118] The above is only a specific embodiment of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present disclosure, which should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A battery abnormality detection method, characterized in that: The method comprises: Obtaining a first battery parameter of the battery at a first moment, where the first battery parameter is used to characterize the performance and state of the battery at the first moment; Obtaining a second battery parameter of the battery at a second moment, where the second battery parameter is used to characterize the performance and state of the battery at the second moment; Get battery temperature and system temperature in target mode; It is determined whether a battery is abnormal based on the first battery parameter and the second battery parameter and the battery temperature and the system temperature.

2. The method according to claim 1, characterized in that The determining whether the battery is abnormal based on the first battery parameter, the second battery parameter, the battery temperature, and the system temperature includes: Obtaining a first comparison result based on the first battery parameter and the second battery parameter; obtaining a second comparison result based on the battery temperature and the system temperature; Whether the battery is abnormal is determined based on the first comparison result and / or the second comparison result.

3. The method according to claim 2, characterized in that The first battery parameter includes a first battery voltage, and the second battery parameter includes a second battery voltage; accordingly, obtaining a first comparison result based on the first battery parameter and the second battery parameter includes: If the difference between the second battery voltage and the first battery voltage is greater than a voltage threshold, the first comparison result is that the battery self-discharge is abnormal.

4. The method according to claim 2 or 3, characterized in that: The first battery parameter includes a first full charge capacity, and the second battery parameter includes a second full charge capacity; accordingly, obtaining a first comparison result based on the first battery parameter and the second battery parameter includes: If the ratio of the difference between the second full charge capacity and the first full charge capacity to the battery design capacity is greater than the capacity drop threshold, the first comparison result is abnormal battery aging.

5. The method according to claim 2, characterized in that: The obtaining a second comparison result based on the battery temperature and the system temperature includes: If the difference between the battery temperature and the system temperature is greater than a temperature difference threshold, the second comparison result is that the battery is abnormally heated.

6. The method according to claim 2, further comprising: If the battery is determined to be abnormal based on the first comparison result and / or the second comparison result, a warning message is output.

7. A battery detection device, characterized in that: The device comprises: A first acquisition module, used to obtain a first battery parameter of the battery at a first moment, where the first battery parameter is used to characterize the performance and state of the battery at the first moment; A second acquisition module, used for obtaining a second battery parameter of the battery at a second moment, wherein the first battery parameter is used for characterizing the performance and state of the battery at the first moment; A third acquisition module is used to obtain the battery temperature and the system temperature in the target mode; A determination module is used to determine whether the battery is abnormal based on the first battery parameter and the second battery parameter and the battery temperature and the system temperature.

8. The device according to claim 7, characterized in that The device also includes: The prompt module is used to output warning information after determining that the battery is abnormal.

9. An electronic device, characterized in that: include: A battery, wherein the battery is used for supplying power; at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to execute: Obtaining a first battery parameter of the battery at a first moment, where the first battery parameter is used to characterize the performance and state of the battery at the first moment; Obtaining a second battery parameter of the battery at a second moment, wherein the first battery parameter is used to characterize the performance and state of the battery at the first moment; Get battery temperature and system temperature in target mode; It is determined whether a battery is abnormal based on the first battery parameter and the second battery parameter and the battery temperature and the system temperature.

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: Obtaining a first battery parameter of the battery at a first moment, where the first battery parameter is used to characterize the performance and state of the battery at the first moment; Obtaining a second battery parameter of the battery at a second moment, wherein the first battery parameter is used to characterize the performance and state of the battery at the first moment; Get battery temperature and system temperature in target mode; It is determined whether a battery is abnormal based on the first battery parameter and the second battery parameter and the battery temperature and the system temperature.

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