Battery abnormality warning method, system, device, electronic device and storage medium

Abstract

The embodiments of the present application disclose a battery abnormality warning method, system, device, electronic device and storage medium. The environmental data, deformation state data and working state data of the environment in which the battery to be detected is located are obtained; the current working condition information of the battery to be detected is determined according to the deformation state data and / or working state data; whether the battery to be detected has an abnormality according to the current working condition information and environmental data; and an abnormality warning is issued for the battery to be detected with an abnormality. The embodiments of the present application improve the effect of the accuracy of the warning.

Description

Technical Field

[0001] Embodiments of the present application relate to energy technology, and in particular, to a battery abnormality warning method, system, device, electronic device, and storage medium. Background Art

[0002] The battery energy storage system is used to power various electronic equipment systems. To ensure the normal operation of the electronic equipment systems, it is very critical to ensure the stable operation of the battery energy storage system.

[0003] In the prior art, in order to ensure the stable operation of the battery energy storage system, the power supply voltage is monitored and early warning is performed.

[0004] However, the operation of a battery energy storage system is a complex process. If only the power supply voltage is monitored and warned, the warning judgment will be too one-sided and the warning accuracy will be low. Summary of the invention

[0005] The present application provides a battery abnormality early warning method, system, device, electronic device and storage medium to improve the accuracy of the early warning.

[0006] In a first aspect, an embodiment of the present application provides a battery abnormality warning method, the battery abnormality warning method comprising:

[0007] Obtaining environmental data, deformation state data and working state data of the environment in which the battery to be tested is located;

[0008] Determine the current working condition information of the battery to be tested according to the deformation state data and / or the working state data;

[0009] Determine whether the battery to be tested has an abnormality based on the current operating condition information and environmental data;

[0010] For batteries to be tested that have abnormalities, an abnormal warning will be issued.

[0011] In a second aspect, an embodiment of the present application further provides a battery abnormality warning system, the battery abnormality warning system comprising: a sensor module and a controller area network CAN bus module;

[0012] The sensor module and the CAN bus module are communicated and connected;

[0013] The sensor module is used to collect the environmental data, deformation state data and working state data of the battery to be tested, and send them to the CAN bus module;

[0014] The CAN bus module is used to determine the current working condition information of the battery to be tested based on the deformation state data and the working state data; determine whether the battery to be tested has any abnormality based on the current working condition information and the environmental data; and issue an abnormality warning for the battery to be tested that has an abnormality.

[0015] In a third aspect, an embodiment of the present application further provides a battery abnormality warning device, the battery abnormality warning device comprising:

[0016] A data acquisition module, used to acquire environmental data, deformation state data and working state data of the environment in which the battery to be tested is located;

[0017] A current working condition determination module, used to determine the current working condition information of the battery to be tested according to the deformation state data and / or the working state data;

[0018] An abnormality determination module, used to determine whether the battery to be tested has an abnormality based on current operating condition information and environmental data;

[0019] The abnormal warning module is used to issue an abnormal warning for the battery to be detected that has an abnormality.

[0020] In a fourth aspect, an embodiment of the present application further provides an electronic device, the electronic device comprising:

[0021] one or more processors;

[0022] A storage device for storing one or more programs;

[0023] When one or more programs are executed by one or more processors, the one or more processors implement any one of the battery abnormality warning methods provided in the embodiments of the present application.

[0024] In a fifth aspect, an embodiment of the present application further provides a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to execute any one of the battery abnormality warning methods provided in the embodiments of the present application.

[0025] The present application obtains the environmental data, deformation state data and working state data of the environment in which the battery to be tested is located; determines the current working condition information of the battery to be tested based on the deformation state data and / or working state data, and accurately determines the current working condition; determines whether the battery to be tested has an abnormality based on the current working condition information and environmental data, and determines whether the battery to be tested has an abnormality based on the environmental data for different working conditions, so as to make a more comprehensive and accurate determination of the abnormal situation; and issues an abnormal warning for the battery to be tested that has an abnormality, and issues an early warning for the abnormal situation in a timely manner, thereby improving the early warning effect and ensuring the safe operation of the battery. Therefore, through the technical solution of the present application, the problem of only monitoring and warning the power supply voltage, the early warning judgment being too one-sided, and the early warning accuracy being low is solved, and the effect of improving the accuracy of the early warning is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1This is a flow chart of a battery abnormality warning method in Embodiment 1 of the present application;

[0027] Figure 2 This is a flow chart of a battery abnormality warning method in Embodiment 2 of the present application;

[0028] Figure 3 This is a schematic diagram of the structure of a battery abnormality warning system in Embodiment 3 of the present application;

[0029] Figure 4 This is a structural schematic diagram of a battery abnormality warning device in Embodiment 4 of the present application;

[0030] Figure 5 It is a structural diagram of an electronic device in Embodiment 5 of the present application. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0032] It should be noted that the terms "first" and "second" etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0033] Embodiment 1

[0034] Figure 1 A flowchart of a battery abnormality warning method provided in Example 1 of the present application. This embodiment can be applied to situations where an abnormal battery is warned. The method can be executed by a battery abnormality warning device, which can be implemented using software and / or hardware and specifically configured in power supply facilities, such as electrochemical energy storage power stations; or, it can also be configured in power-consuming facilities that require batteries for power supply, such as electric vehicles.

[0035] See also Figure 1 The battery abnormality warning method shown specifically includes the following steps:

[0036] S110, obtaining environmental data, deformation state data and working state data of the environment in which the battery to be tested is located.

[0037] The battery to be tested is a battery that can supply power and store energy, such as a battery system in an electric vehicle. The environmental data can be data that measures the environment in which the battery to be tested is located, and is used to determine whether the working state of the battery to be tested is abnormal. Exemplarily, the environmental data can be voltage data. Specifically, the environmental data can include a variety of environmental factors that have an impact on the judgment of battery abnormality, and the environmental types included in the environmental data can be determined by technicians based on experiments or experience. Specifically, the environmental data can be obtained through various sensors. For example, temperature data in the environmental data is obtained through a temperature sensor.

[0038] In an optional embodiment, the environmental data includes at least two of voltage data, temperature data and gas data.

[0039] The voltage data may be output voltage data of the battery to be tested. Specifically, the voltage data may be obtained through a voltage sensor. The temperature data may be surface temperature data of the battery to be tested. Specifically, the voltage data may be obtained through a temperature sensor. The gas data may be gas concentration data in a compartment of the battery system to be tested. Specifically, the gas data may be obtained through a gas concentration sensor.

[0040] The environmental data includes at least two of voltage data, temperature data and gas data, so as to detect the environmental data of the battery to be detected, and provide a more comprehensive data basis for battery abnormality warning, so as to make the warning more comprehensive and accurate.

[0041] The deformation state data is the deformation data when the battery's appearance is deformed, and is used to determine the working condition information of the battery to be tested. When the battery is squeezed or deformed due to internal reasons, its internal structure may change, resulting in changes in the performance of the battery. For example, when the battery is squeezed and deformed, the safe power supply voltage changes. Specifically, the deformation state data can be obtained by an image acquisition device or a radar ranging device. For example, the deformation state data can be obtained by a lidar.

[0042] The working status data may be data for measuring the working status of the battery to be detected, and is used to determine the working condition information of the battery to be detected. Exemplarily, the working status data may be the output power of the battery to be detected, and is used to determine whether the battery to be detected is overloaded. Specifically, the working status data may be all kinds of working status data of the battery, including the working environment information of the electrical equipment. For example, the working environment information may be water immersion information. Specifically, the working status data may be acquired by the detection equipment of the electrical equipment.

[0043] S120: Determine current operating condition information of the battery to be tested according to the deformation state data and / or the operating state data.

[0044] The current operating condition information may be the operating condition information of the battery to be detected, which is used to determine whether there is an abnormality in the battery to be detected under the current operating condition. Specifically, the current operating condition information may include the name of the operating condition and the threshold information of the corresponding environmental data. Exemplarily, it can be determined whether the current operating condition of the battery to be detected is an extruded condition based on the deformation state data. Specifically, the deformation state data and the working state data can be matched with the corresponding operating condition determination data in each candidate operating condition information of the battery to be detected. If the match is successful, the operating condition information is used as the current operating condition information of the battery to be detected. The corresponding operating condition determination data in each candidate operating condition information can be pre-set, and is used to indicate the operating condition information that the battery to be detected may be in.

[0045] In an optional embodiment, the current operating condition information of the battery to be tested is determined based on the deformation state data and / or the working state data, including: determining whether the current operating condition of the battery to be tested is a squeezed condition based on the deformation state data; and / or determining whether the current operating condition of the battery to be tested is an overloaded condition or a water-immersed condition based on the working state data.

[0046] The squeezed working condition may be a working condition in which the battery to be tested is squeezed by an external force. When the battery to be tested is in a squeezed working condition, the shape will change significantly. Therefore, it can be determined whether the current working condition of the battery to be tested is a squeezed working condition based on the deformation state data. Specifically, a length change percentage threshold can be preset. When the length change percentage obtained according to the deformation state data is greater than the length change percentage threshold, it is determined that the current working condition of the battery to be tested is a squeezed working condition. Exemplarily, the length in the length change percentage threshold may be at least one of the lengths of the length, width and height of the battery to be tested.

[0047] The overload condition may be a condition where the output power of the battery to be tested is greater than the preset power. Specifically, the output power of the battery to be tested may be determined based on the output current of the battery to be tested and the resistance of the electrical equipment. When the output power of the battery to be tested is greater than the preset power, the current condition of the battery to be tested is determined to be an overload condition. The flooding condition is a condition where the battery to be tested is immersed in water. Specifically, whether the current condition of the battery to be tested is a flooding condition may be determined based on a humidity sensor.

[0048] By determining whether the current working condition of the battery to be tested is a squeezed working condition based on the deformation state data; and / or, determining whether the current working condition of the battery to be tested is an overloaded working condition or a flooded working condition based on the working state data. The working condition of the battery to be tested can be accurately determined, and the abnormal conditions of the battery to be tested can be determined according to the characteristics of different working conditions, thereby improving the accuracy of subsequent abnormal warnings.

[0049] S130: Determine whether the battery to be tested has any abnormality based on current operating condition information and environmental data.

[0050] The threshold of each environmental data under the current working condition can be determined based on the current working condition information. When the environmental data is not within the corresponding environmental threshold interval, it is determined that the battery to be tested is abnormal. The threshold of the environmental data can be the threshold when the battery to be tested works normally under the corresponding working condition, which can be determined by the technician through experiments or experience, and this application does not make specific restrictions on this.

[0051] S140: Issue an abnormal warning for the battery to be tested that has an abnormality.

[0052] The abnormal warning is a warning message for abnormalities in the battery to be detected. If it is determined that the battery to be detected has an abnormality, an abnormal warning is issued for the battery to be detected with the abnormality. Exemplarily, the warning message can be at least one of text information, sound information or light information. Specifically, different warnings can be issued according to the reasons for the abnormality in the battery to be detected. For example, a short circuit warning can be issued for the battery to be detected according to the abnormality in the voltage data of the battery to be detected.

[0053] The technical solution of this embodiment obtains the environmental data, deformation state data and working state data of the environment in which the battery to be detected is located; determines the current working condition information of the battery to be detected based on the deformation state data and / or working state data, and accurately determines the current working condition; determines whether the battery to be detected has an abnormality based on the current working condition information and environmental data, and determines whether the battery to be detected has an abnormality based on the environmental data for different working conditions, so that the abnormal situation can be determined more comprehensively and accurately; for the battery to be detected with an abnormality, an abnormal warning is issued, and an abnormal situation is issued in time to improve the warning effect and ensure the safe operation of the battery. Therefore, through the technical solution of this application, the problem of only monitoring and warning the power supply voltage, the warning judgment is too one-sided, and the warning accuracy is low is solved, and the effect of improving the accuracy of the warning is achieved.

[0054] In an optional embodiment, an abnormal warning is issued for the battery to be tested that has an abnormality, including: if the gas data of the battery to be tested has an abnormality, a spontaneous combustion warning is issued; if the temperature data of the battery to be tested has an abnormality, a thermal runaway warning is issued; if the voltage data of the battery to be tested has an abnormality, a short circuit warning is issued.

[0055] If there is an abnormality in the gas data, there is an abnormality in the gas concentration in the compartment of the battery to be tested, that is, the gas concentration is large, there may be a risk of spontaneous combustion, and at this time, a spontaneous combustion warning is issued for the battery to be tested. If there is an abnormality in the temperature data, there is an abnormality in the surface temperature of the battery to be tested, for example, the surface temperature of the battery to be tested is large, there may be a risk of thermal runaway, and at this time, a thermal runaway warning is issued for the battery to be tested. If there is an abnormality in the voltage data, there is an abnormality in the output voltage of the battery to be tested, for example, the output voltage is large, there may be a short circuit risk, and at this time, a short circuit warning is issued for the battery to be tested. It should be noted that the voltage data may be abnormal, or the output voltage may be small, then there is a risk of power loss, and at this time, a power loss warning can be issued for the battery to be tested.

[0056] If the gas data of the battery to be tested is abnormal, a spontaneous combustion warning will be issued; if the temperature data of the battery to be tested is abnormal, a thermal runaway warning will be issued; if the voltage data of the battery to be tested is abnormal, a short circuit warning will be issued. Targeted warnings are issued for different abnormal situations, making the warning information more purposeful, allowing technicians who receive abnormal warnings to quickly and accurately determine response measures and achieve better warning effects.

[0057] Embodiment 2

[0058] Figure 2 This is a flowchart of a battery abnormality warning method provided in Example 2 of the present application. The technical solution of this embodiment is further refined on the basis of the above technical solution.

[0059] Furthermore, "determine whether the battery to be tested has an abnormality based on the current operating condition information and environmental data" is refined to: "determine the target environmental threshold of each operating condition environment under the current operating condition information; determine whether the battery to be tested has an abnormality based on the environmental data under each operating condition environment and the corresponding target environmental threshold" to determine whether the battery to be tested has an abnormality.

[0060] See also Figure 2 A battery abnormality warning method is shown, comprising:

[0061] S210, obtaining environmental data, deformation state data and working state data of the environment in which the battery to be tested is located.

[0062] S220: Determine current operating condition information of the battery to be tested according to the deformation state data and / or the operating state data.

[0063] S230: Determine the target environment threshold of each working condition environment under the current working condition information.

[0064] The target environment threshold may be a threshold corresponding to each operating environment under different current operating condition information. Under different operating conditions, the environmental threshold at which the battery to be tested can work normally is different. Specifically, a simulation experiment may be conducted in advance to analyze the operating characteristics of the battery to be tested under different operating conditions, determine the constraints of the key environmental data for the safe operation of the battery to be tested, and determine the target environment threshold of the battery to be tested based on the constraints. The target environment threshold may be an extreme value or an interval, and this application does not make specific limitations on this.

[0065] S240: Determine whether the battery to be tested has an abnormality based on the environmental data under each operating condition and the corresponding target environmental threshold.

[0066] The environmental data under each operating condition corresponds to its target environmental threshold. The environmental data under each operating condition is compared with its target environmental threshold. If the environmental data under each operating condition is not within the range specified by the target environmental threshold, it is determined that the battery to be tested has an abnormality.

[0067] In an optional embodiment, it is determined whether the battery to be detected has an abnormality based on the environmental data under each operating condition and the corresponding target environmental threshold, including: if there is environmental data greater than the corresponding target environmental threshold, it is determined that the battery to be detected has an abnormality.

[0068] This application mainly considers the abnormal conditions of safe operation of the battery, so the target environmental threshold is generally the maximum value of the environmental data. Therefore, if the environmental data under each operating condition is greater than its target environmental threshold, it is determined that the environmental data is abnormal. In order to ensure the safe operation of the battery to be tested, when there is an abnormal environmental data, it is determined that the battery to be tested is abnormal. That is, among multiple environmental data, when there is environmental data that is greater than the corresponding target environmental threshold, it is determined that the battery to be tested is abnormal.

[0069] If there is environmental data greater than the corresponding target environmental threshold, it is determined that the battery to be tested has an abnormality. As long as there is abnormal environmental data, it is determined that the battery to be tested has an abnormality. The battery abnormality can be warned in time to ensure the safe operation of the battery.

[0070] S250: Issue an abnormal warning for the battery to be tested that has an abnormality.

[0071] The technical solution of this embodiment determines the target environmental threshold of each operating environment under the current operating condition information; determines whether the battery to be tested has an abnormality based on the environmental data under each operating condition and the corresponding target environmental threshold, thereby accurately judging whether the battery to be tested has an abnormality based on the current operating condition information, improving the accuracy of determining battery abnormalities, and improving the accuracy of subsequent abnormal warnings.

[0072] Embodiment 3

[0073] Figure 3 This is a schematic diagram of the structure of a battery abnormality warning system provided in Example 3 of the present application. This embodiment can be applied to situations where an abnormal battery is warned.

[0074] See also Figure 3 The battery abnormality warning system shown includes a sensor module 310 and a controller area network (CAN) bus module 320 .

[0075] The sensor module 310 is communicatively connected with the CAN bus module 320;

[0076] The sensor module 310 is used to collect environmental data, deformation state data and working state data of the battery to be detected, and send them to the CAN bus module 320. Specifically, the sensor module 310 may include at least two of a voltage sensor, a temperature sensor and a gas sensor.

[0077] The voltage sensor is placed at the output end of the battery to be tested to measure the voltage data of the battery to be tested. The temperature sensor is placed on the surface of the battery to be tested to measure the temperature data of the battery to be tested. The gas sensor is placed in the compartment of the battery to be tested to measure the gas data of the battery to be tested.

[0078] The CAN bus module 320 is used to determine the current working condition information of the battery to be detected based on the deformation state data and the working state data; determine whether the battery to be detected has an abnormality based on the current working condition information and environmental data; and issue an abnormality warning for the battery to be detected that has an abnormality.

[0079] The battery abnormality detection system may also include a PLC controller (professional term, programmable logic controller) for acquiring data collected by the sensor module 310, digitizing the acquired data, and sending it to the CAN bus module 320 to facilitate data processing by the CAN bus module 320.

[0080] The sensor module and the CAN bus module are connected by communication; the sensor module is used to collect the environmental data, deformation state data and working state data of the battery to be detected, and send them to the CAN bus module; the CAN bus module is used to determine the current working condition information of the battery to be detected according to the deformation state data and the working state data; determine whether the battery to be detected has an abnormality according to the current working condition information and environmental data; and for the battery to be detected with an abnormality, an abnormal warning is carried out. According to different working conditions, it is determined whether the battery to be detected has an abnormality according to the environmental data, and the abnormal situation can be determined more comprehensively and accurately, and an early warning can be issued in time for the abnormal situation, so as to improve the early warning effect and ensure the safe operation of the battery. Therefore, through the system of the present application, the problem of only monitoring and early warning of the power supply voltage, the early warning judgment is too one-sided, and the early warning accuracy is low is solved, and the effect of improving the accuracy of the early warning is achieved.

[0081] Embodiment 4

[0082] Figure 4 The figure shows a schematic diagram of the structure of a battery abnormality warning device provided in the fourth embodiment of the present application. This embodiment can be applied to the situation where an abnormal battery is warned, and is specifically configured in an electrical device, for example, an electric vehicle. The specific structure of the battery abnormality warning device is as follows:

[0083] The data acquisition module 410 is used to acquire the environmental data, deformation state data and working state data of the environment in which the battery to be tested is located;

[0084] A current working condition determination module 420, used to determine the current working condition information of the battery to be tested according to the deformation state data and / or the working state data;

[0085] The abnormality determination module 430 is used to determine whether the battery to be tested has an abnormality according to the current operating condition information and environmental data;

[0086] The abnormality warning module 440 is used to issue an abnormality warning to the battery to be detected that has an abnormality.

[0087] The technical solution of this embodiment obtains the environmental data, deformation state data and working state data of the environment in which the battery to be detected is located through the data acquisition module; determines the current working condition information of the battery to be detected according to the deformation state data and / or working state data through the current working condition determination module, and accurately determines the current working condition; determines whether the battery to be detected has an abnormality according to the current working condition information and environmental data through the abnormality determination module, and determines whether the battery to be detected has an abnormality according to the environmental data for different working conditions, so as to make a more comprehensive and accurate determination of the abnormal situation; and performs an abnormal warning for the battery to be detected with an abnormality through the abnormal warning module, and promptly issues an warning for the abnormal situation, thereby improving the warning effect and ensuring the safe operation of the battery. Therefore, through the technical solution of this application, the problem of only monitoring and warning the power supply voltage, the overly one-sided warning judgment and the low accuracy of the warning is solved, and the effect of improving the accuracy of the warning is achieved.

[0088] Optionally, the abnormality determination module 430 includes:

[0089] A threshold determination unit, used to determine a target environment threshold for each working condition environment under current working condition information;

[0090] The threshold comparison unit is used to determine whether the battery to be tested has an abnormality based on the environmental data under each working condition and the corresponding target environmental threshold.

[0091] Optionally, a threshold comparison unit comprises:

[0092] The abnormality determination subunit is used to determine that the battery to be detected has an abnormality if there is environmental data greater than the corresponding target environmental threshold.

[0093] Optionally, the current operating condition determination module 420 includes:

[0094] A deformation state data matching unit, used to determine whether the current working condition of the battery to be tested is a squeezed working condition according to the deformation state data;

[0095] and / or,

[0096] The working state data matching unit is used to determine whether the current working condition of the battery to be detected is an overload condition or a water-immersion condition according to the working state data.

[0097] Optionally, the environmental data includes at least two of voltage data, temperature data and gas data.

[0098] Optionally, the abnormal warning module 440 includes:

[0099] A spontaneous combustion warning unit is used to issue a spontaneous combustion warning if the gas data of the battery to be tested is abnormal;

[0100] A thermal runaway warning unit is used to issue a thermal runaway warning if the temperature data of the battery to be tested is abnormal;

[0101] The short circuit warning unit is used to issue a short circuit warning if the voltage data of the battery to be detected is abnormal.

[0102] The battery abnormality warning device provided in the embodiment of the present application can execute the battery abnormality warning method provided in any embodiment of the present application, and has the corresponding functional modules and beneficial effects for executing the battery abnormality warning method.

[0103] Embodiment 5

[0104] Figure 5 A schematic diagram of the structure of an electronic device provided in Embodiment 5 of the present application is shown in FIG. Figure 5 As shown, the electronic device includes a processor 510, a memory 520, an input device 530 and an output device 540; the number of the processor 510 in the electronic device can be one or more. Figure 5 A processor 510 is taken as an example; the processor 510, the memory 520, the input device 530 and the output device 540 in the electronic device can be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0105] The memory 520, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to the battery abnormality warning method in the embodiment of the present application (for example, data acquisition module 410, current working condition determination module 420, abnormality determination module 430 and abnormality warning module 440). The processor 510 executes various functional applications and data processing of the electronic device by running the software programs, instructions and modules stored in the memory 520, that is, realizes the above-mentioned battery abnormality warning method.

[0106] The memory 520 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the terminal, etc. In addition, the memory 520 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 520 may further include a memory remotely arranged relative to the processor 510, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0107] The input device 530 may be used to receive input character information and generate key signal input related to user settings and function control of the electronic device. The output device 540 may include a display device such as a display screen.

[0108] Embodiment 6

[0109] Embodiment 6 of the present application also provides a storage medium containing computer executable instructions, which, when executed by a computer processor, is used to execute a battery abnormality warning method, the method comprising: obtaining environmental data, deformation state data and working state data of the environment in which the battery to be detected is located; determining the current working condition information of the battery to be detected based on the deformation state data and / or working state data; determining whether the battery to be detected has an abnormality based on the current working condition information and environmental data; and issuing an abnormality warning for the battery to be detected that has an abnormality.

[0110] Of course, the computer executable instructions of a storage medium containing computer executable instructions provided in an embodiment of the present application are not limited to the method operations described above, and can also execute related operations in the battery abnormality warning method provided in any embodiment of the present application.

[0111] Through the above description of the implementation method, the technicians in the relevant field can clearly understand that the present application can be implemented with the help of software and necessary general hardware, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for an electronic device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0112] It is worth noting that in the embodiment of the above-mentioned search device, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application.

[0113] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A battery abnormality warning method, characterized in that: include: Obtaining environmental data, deformation state data and working state data of the environment in which the battery to be tested is located; Determine the current working condition information of the battery to be detected according to the deformation state data and / or the working state data; wherein the deformation state data is obtained by an image acquisition device or a radar ranging device, and the deformation state data is deformation data when the shape of the battery to be detected is deformed; Determining whether the battery to be detected has an abnormality according to the current operating condition information and the environmental data; For the battery to be detected that has an abnormality, an abnormality warning is issued; Wherein, determining whether the battery to be detected has an abnormality according to the current operating condition information and the environmental data includes: Determine the target environmental threshold of each working environment under the current working condition information; wherein the target environmental threshold is a threshold corresponding to each working environment under different current working condition information, and under different working conditions, the environmental threshold at which the battery to be tested can work normally is different; Determining whether the battery to be detected has an abnormality according to the environmental data under each operating environment and the corresponding target environmental threshold; Wherein, determining the current working condition information of the battery to be tested according to the deformation state data and / or the working state data includes: Determining whether the current working condition of the battery to be tested is a squeezed working condition according to the deformation state data; and / or, According to the working status data, it is determined whether the current working condition of the battery to be detected is an overload condition or a water-immersion condition.

2. The method according to claim 1, characterized in that The determining whether the battery to be detected has an abnormality according to the environmental data under each operating environment and the corresponding target environmental threshold value includes: If there is environmental data greater than the corresponding target environmental threshold, it is determined that the battery to be detected has an abnormality.

3. The method according to any one of claims 1 to 2, characterized in that: The environmental data includes at least two of voltage data, temperature data and gas data.

4. The method according to claim 3, characterized in that The abnormal warning for the abnormal battery to be detected includes: If the gas data of the battery to be tested is abnormal, a spontaneous combustion warning is issued; If the temperature data of the battery to be tested is abnormal, a thermal runaway warning is issued; If the voltage data of the battery to be detected is abnormal, a short circuit warning is issued.

5. A battery abnormality warning system, characterized in that: include: Sensor module and controller area network CAN bus module; The sensor module is communicatively connected with the CAN bus module; The sensor module is used to collect environmental data, deformation state data and working state data of the battery to be detected, and send them to the CAN bus module; wherein the deformation state data is obtained by an image acquisition device or a radar ranging device, and the deformation state data is deformation data when the shape of the battery to be detected is deformed; The CAN bus module is used to determine the current working condition information of the battery to be detected according to the deformation state data and the working state data; determine whether the battery to be detected has an abnormality according to the current working condition information and the environmental data; and issue an abnormality warning for the battery to be detected that has an abnormality; The CAN bus module is specifically used to determine the target environmental threshold of each working environment under the current working condition information; wherein the target environmental threshold is a threshold corresponding to each working environment under different current working condition information, and under different working conditions, the environmental threshold at which the battery to be detected can work normally is different; according to the environmental data under each working environment and the corresponding target environmental threshold, it is determined whether the battery to be detected has an abnormality; Among them, the CAN bus module is specifically used to determine whether the current operating condition of the battery to be tested is a squeeze condition based on the deformation state data; and / or, based on the working state data, determine whether the current operating condition of the battery to be tested is an overload condition or a water immersion condition.

6. A battery abnormality warning device, characterized in that: include: A data acquisition module, used to acquire environmental data, deformation state data and working state data of the environment in which the battery to be tested is located; A current working condition determination module, used to determine the current working condition information of the battery to be detected according to the deformation state data and / or the working state data; wherein the deformation state data is obtained by an image acquisition device or a radar ranging device, and the deformation state data is deformation data when the shape of the battery to be detected is deformed; an abnormality determination module, used to determine whether the battery to be detected has an abnormality according to the current operating condition information and the environmental data; An abnormal warning module is used to issue an abnormal warning to the battery to be detected that has an abnormality; Wherein, the abnormality determination module includes: A threshold determination unit, used to determine a target environment threshold of each working environment under the current working condition information; wherein the target environment threshold is a threshold corresponding to each working environment under different current working condition information, and under different working conditions, the environmental threshold at which the battery to be detected can work normally is different; A threshold comparison unit, used for determining whether the battery to be detected has an abnormality according to the environmental data under each working condition and the corresponding target environmental threshold; Wherein, the current operating condition determination module includes: A deformation state data matching unit, used to determine whether the current working condition of the battery to be tested is a squeezed working condition according to the deformation state data; and / or, The working status data matching unit is used to determine whether the current working condition of the battery to be detected is an overload condition or a water-immersion condition according to the working status data.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the battery abnormality warning method as described in any one of claims 1 to 4 is implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the battery abnormality warning method as described in any one of claims 1 to 4 is implemented.

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