Battery deformation monitoring method and device, storage medium and computer equipment

Abstract

The invention discloses a battery deformation monitoring method and device, a storage medium and computer equipment, and the method comprises the steps: enabling a flexible capacitive sensor to be attached to the surface of a target monitoring battery, and sensing the capacitance change caused by the deformation of the battery; the capacitance change is converted into a frequency signal through an LC oscillation circuit; a high-speed comparator is adopted to convert the frequency signal into a square wave; and the microcontroller captures the frequency of the square wave and inversely calculates the capacitance value, the capacitance change rate is calculated by combining a sliding window algorithm, median filtering and a temperature compensation technology, and if the capacitance change rate exceeds a preset threshold value, the battery deforms, so that the high-accuracy and high-reliability real-time monitoring and early warning effects on the battery deformation phenomenon are achieved.

Description

Technical Field

[0001] This application relates to the field of battery safety monitoring technology, and in particular to a battery deformation monitoring method and device, storage medium, and computer equipment. Background Technology

[0002] Currently, the problem of insufficient monitoring of gas expansion and deformation inside batteries can lead to battery safety accidents, especially in high-energy-density batteries and fast-charging scenarios. The safety risks of cylindrical and square pouch batteries are becoming increasingly serious, and this technology is gradually becoming an important factor restricting the development of the industry. Summary of the Invention

[0003] In view of this, this application provides a battery deformation monitoring method and device, storage medium, and computer equipment. It addresses the problem that traditional monitoring methods are unable to effectively capture the minute deformations caused by gas expansion inside the battery, which can lead to numerous safety accidents. In other words, it addresses the difficulty in detecting the minute deformations of batteries in the early stages. The method combines highly sensitive flexible capacitive sensing technology with intelligent signal processing algorithms to achieve highly accurate and reliable real-time monitoring and early warning of battery deformation phenomena.

[0004] According to one aspect of this application, a battery deformation monitoring method is provided, the method comprising: A flexible capacitive sensor is used to sense in real time the capacitance change of the target detection battery caused by battery deformation, wherein the flexible capacitive sensor is attached to the surface of the target detection battery. The LC oscillation circuit converts the sensed capacitance changes into frequency signals in real time. The high-speed comparator converts the frequency signal into a square wave in real time; The microcontroller captures the frequency of the square wave in real time and calculates the capacitance value in real time by combining the captured frequency of the square wave. The microcontroller introduces a sliding window that moves forward over time in the sequence of capacitance values ​​arranged in chronological order. It performs median filtering on the capacitance values ​​within the current sliding window and calculates the rate of change of capacitance based on the filtered capacitance values. When the microcontroller determines that the absolute value of the calculated capacitance change rate is greater than a preset threshold, it generates an alarm signal and sends it to a preset terminal. The alarm signal indicates that the target detection battery has deformed.

[0005] According to another aspect of this application, a battery deformation monitoring device is provided, the device comprising: Flexible capacitive sensors, LC oscillation circuits, high-speed comparators, and microcontrollers; A flexible capacitive sensor is used to sense in real time the capacitance change of a target detection battery caused by battery deformation, wherein the flexible capacitive sensor is attached to the surface of the target detection battery. An LC oscillation circuit is used to convert the sensed capacitance change into a frequency signal in real time. A high-speed comparator is used to convert frequency signals into square waves in real time. A microcontroller is used to capture the frequency of a square wave in real time and, in conjunction with the captured frequency, to calculate the capacitance value in real time. The microcontroller is also used to introduce a sliding window that slides forward over time in the sequence of capacitance values ​​arranged in chronological order, perform median filtering on the capacitance values ​​in the current sliding window, calculate the capacitance change rate based on the median-filtered capacitance values, and generate an alarm signal and send it to a preset terminal when it is determined that the absolute value of the calculated capacitance change rate is greater than a preset threshold. The alarm signal indicates that the target detection battery has deformed.

[0006] According to another aspect of this application, a storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the above-described battery deformation monitoring method.

[0007] According to another aspect of this application, a computer device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor executes the program to implement the above-described battery deformation monitoring method.

[0008] By employing the above technical solution, this application provides a battery deformation monitoring method and device, storage medium, and computer equipment. A flexible capacitive sensor is attached to the surface of the target monitored battery to sense the capacitance change caused by battery deformation. The capacitance change is converted into a frequency signal via an LC oscillation circuit. A high-speed comparator converts the frequency signal into a square wave. A microcontroller captures the frequency of the square wave and calculates the capacitance value. Combining a sliding window algorithm, median filtering, and temperature compensation technology, the capacitance change rate is calculated. If the capacitance change rate exceeds a preset threshold, the battery is deformed, thus achieving high-accuracy, high-reliability real-time monitoring and early warning of battery deformation phenomena.

[0009] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0010] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1A schematic flowchart of a battery deformation monitoring method provided in an embodiment of this application is shown; Figure 2 This paper shows a schematic diagram of the structure of a battery deformation monitoring device provided in an embodiment of this application; Figure 3 This illustration shows a capacitor-frequency conversion timing diagram provided in an embodiment of this application; Figure 4 A flowchart illustrating another battery deformation monitoring method provided in an embodiment of this application is shown. Detailed Implementation

[0011] The present application will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the embodiments of the present application can be combined with each other.

[0012] This embodiment provides a battery deformation monitoring method, which includes: Step 101: Flexible capacitive sensor, which senses the capacitance change of the target detection battery due to battery deformation in real time. The flexible capacitive sensor is attached to the surface of the target detection battery. The flexible capacitive sensor is composed of multiple flexible strain sensors that are parallel to each other and have reserved heat dissipation holes. The electrode material is conductive silicone, and the strain sensitivity coefficient of the electrode material is ≥2.

[0013] Step 102: The LC oscillation circuit converts the sensed capacitance change into a frequency signal in real time.

[0014] Step 103: The high-speed comparator converts the frequency signal into a square wave in real time.

[0015] Step 104: The microcontroller captures the frequency of the square wave in real time and calculates the capacitance value in real time by combining the captured frequency of the square wave.

[0016] Step 105: The microcontroller introduces a sliding window that slides forward over time into the sequence of capacitance values ​​arranged in chronological order, performs median filtering on the capacitance values ​​within the current sliding window, and calculates the capacitance change rate based on the median-filtered capacitance values.

[0017] Step 106: When the microcontroller determines that the absolute value of the calculated capacitance change rate is greater than a preset threshold, it generates an alarm signal and sends it to a preset terminal, wherein the alarm signal indicates that the target detection battery has deformed.

[0018] The embodiments described above in this application can be applied to energy storage devices such as lithium batteries and polymer batteries that are prone to thermal deformation (expansion).

[0019] Specifically, such as Figure 1As shown, the system includes a flexible capacitive sensor, an LC oscillation circuit, a high-speed comparator module, and a microcontroller connected in sequence. Furthermore, the flexible capacitive sensor is attached to the surface of the target monitored battery, converting the battery's deformation into a change in capacitance. The capacitance signal output by the flexible capacitive sensor is input to the LC oscillation circuit, where it is converted into a corresponding oscillation frequency signal, and then converted into a square wave signal by the high-speed comparator. The microcontroller captures the frequency of this square wave signal and processes it using a built-in algorithm to ultimately determine whether a deformation alarm is triggered.

[0020] Specifically, the flexible capacitive sensor can be made of conductive silicone material, with a strain sensitivity coefficient of ≥2, and can be attached to the battery surface with an initial electrode spacing set.

[0021] The LC oscillation circuit can operate in the frequency range of 1MHz to 10MHz and may include an adjustable inductor (which can be a variable inductance coil controlled by a digital potentiometer, with an adjustment accuracy of ±1%). The capacitor terminal of the LC oscillation circuit is connected to a flexible capacitive sensor. The adjustable inductor is used to automatically calibrate the initial capacitance reference value offset caused by installation tolerances or individual sensor differences during initialization, ensuring the consistency of the measurement starting point. Alarm signals can be transmitted to the server (preset terminal) via wireless communication technology, and the alarm threshold (i.e., the preset threshold) is adjustable.

[0022] Optionally, in step 104, the microcontroller, in conjunction with the frequency of the square wave captured in real time, calculates the capacitance value in real time, including: Step 1041: The microcontroller calculates the capacitance value based on the capacitance calculation formula and the frequency of the captured square wave. The capacitance calculation formula is as follows: C= , C is the capacitance value, f is the frequency of the square wave, and L is the fixed inductance value, which is determined based on the preset center oscillation frequency and the initial capacitance reference value of the flexible capacitive sensor.

[0023] In the above embodiments of this application, the flexible capacitive sensor can be composed of parallel flexible strain sensors with pre-drilled heat dissipation holes, attached to the battery surface. When the battery undergoes a slight deformation, the following formula applies: , Where C is the capacitance value. The relative permittivity, denoted as vacuum dielectric constant, S as the area of ​​the plates facing each other, and d as the distance between the plates.

[0024] Therefore, it can be seen that changes in the electrode spacing will lead to changes in the capacitance value. In addition, according to the initial electrode spacing, when the battery deformation causes a change in spacing of ±9.5~10.5%, the capacitance value changes by ≥4%.

[0025] Optionally, in step 105, the microcontroller calculates the rate of change of capacitance based on the median-filtered capacitance value, including: Step 1051: The microcontroller calculates the capacitance change rate corresponding to the sliding window based on the median-filtered capacitance value within the current sliding window, according to the capacitance change rate calculation formula and the median-filtered capacitance value. The capacitance change rate calculation formula is as follows: C t =( -1)×100%, C t The rate of change of capacitance. It is the median filtered capacitance value at the current moment. The value is the median filtered capacitance value at the starting position within the sliding window, and T is the preset length of the sliding window.

[0026] In the above embodiments of this application, to effectively filter out instantaneous, spike pulse noise caused by brief electromagnetic interference and prevent false alarms triggered by a single abnormal sampling value, the microcontroller can run a median filtering algorithm on the capacitance value per second. Specifically, a small filtering window (e.g., width n) is set, and the n data points from the current moment and the previous n-1 seconds are sorted by size. The median value is then taken as the filtered output value for that moment. That is, the median filtered capacitance value at that moment.

[0027] Next, the sliding window algorithm is used to calculate the real-time capacitance change rate. The calculation logic is as follows: a time interval T is set as the calculation window (i.e., the sliding window length), then the capacitance change rate ΔC at the current time t is calculated. t The calculation formula is: C t =( -1)×100%.

[0028] Optionally, the flexible capacitive sensor also includes a temperature sensor, and after the microcontroller calculates the rate of change of capacitance, the method further includes: Step 107: The temperature sensor collects the ambient temperature of the target detection battery in real time; Step 108: The microcontroller performs temperature compensation on the calculated capacitance change rate based on the collected ambient temperature. Step 109: The microcontroller determines the relationship between the capacitance change rate after temperature compensation and the preset threshold.

[0029] In the above embodiments of this application, the flexible capacitive sensor also includes a temperature sensor that collects ambient temperature in real time, which can compensate for the rate of change of capacitance by temperature, thereby further improving accuracy.

[0030] Optionally, in step 108, the microcontroller performs temperature compensation on the calculated rate of capacitance change based on the collected ambient temperature, including: Step 1081: The microcontroller determines the temperature change per second based on the collected ambient temperature. Step 1082: The microcontroller performs temperature compensation on the calculated capacitance change rate according to the temperature compensation formula and the determined temperature change per second, to obtain the temperature-compensated capacitance change rate. The temperature compensation formula is as follows: δC1=δC2-(α·ΔT), δC1 is the capacitance change rate after temperature compensation, δC2 is the capacitance change rate before temperature compensation, α is the preset temperature compensation coefficient, and ΔT is the temperature change per second.

[0031] In the embodiments described above, the microcontroller collects the ambient temperature and determines the temperature change per second, enabling real-time sensing of dynamic changes in ambient temperature. Based on the temperature compensation formula, and using a preset temperature compensation coefficient and the temperature change per second, the capacitance rate of change at the current moment is accurately compensated. This effectively reduces the interference of ambient temperature fluctuations on capacitance rate of change measurement, improves the accuracy and stability of capacitance rate of change measurement, and enables related detection or control systems based on capacitance rate of change to operate more reliably under different temperature environments, enhancing the system's adaptability to complex temperature environments.

[0032] Optionally, in step 106, when the microcontroller determines that the absolute value of the calculated capacitance change rate is greater than a preset threshold, an alarm signal is generated and sent to a preset terminal, including: Step 1061: When the microcontroller determines that the absolute value of the capacitance change rate calculated by the sliding window for a preset number of consecutive steps is greater than the preset threshold, an alarm signal is generated and sent to the preset terminal.

[0033] In the above embodiments of this application, for example, when abnormal changes exceeding the threshold are detected three times consecutively, an alarm signal is generated and sent to a preset terminal, and the preset threshold can be dynamically adjusted remotely.

[0034] By applying the technical solution of this embodiment, existing technologies still have shortcomings in detecting excessively small battery deformations. This embodiment effectively solves the problems of accuracy and adaptability to batteries of different sizes in battery deformation detection, providing an innovative solution for battery safety testing and better promoting the continuous development of battery testing technology. Specifically, a high-sensitivity flexible capacitive sensor is used, which can detect minute deformations and has a simple structure, low manufacturing cost, low hysteresis, and low power consumption; its sensitivity is significantly improved compared to traditional electrodes; and the combination of a high-frequency LC oscillation circuit with the flexible capacitive sensor improves the accuracy of capacitance measurement. The digital potentiometer controls the adjustable inductor (accuracy ±1%) to achieve automatic reference calibration and has good environmental adaptability. The high-speed comparator converts the frequency signal into a square wave signal. The discrete characteristics of the square wave signal make it easier to identify and operate in digital signal processing; the temperature compensation algorithm effectively reduces the impact of temperature changes on the device; the median filtering algorithm effectively suppresses electromagnetic interference, reducing the false alarm rate. The sliding window algorithm is used to calculate the capacitance change rate in real time, providing intelligent monitoring capabilities; it can detect abnormal changes exceeding the threshold three times consecutively; the alarm threshold can be dynamically adjusted remotely. Therefore, by establishing a mathematical model of "capacitance change - frequency conversion", the detection accuracy and anti-interference capability are improved.

[0035] Furthermore, as Figure 1 In terms of specific implementation of the method, this application provides a battery deformation monitoring device, such as... Figure 2 As shown, the device includes: Flexible capacitive sensors, LC oscillation circuits, high-speed comparators, and microcontrollers; A flexible capacitive sensor is used to sense in real time the capacitance change of a target detection battery caused by battery deformation, wherein the flexible capacitive sensor is attached to the surface of the target detection battery. An LC oscillation circuit is used to convert the sensed capacitance change into a frequency signal in real time. A high-speed comparator is used to convert frequency signals into square waves in real time. A microcontroller is used to capture the frequency of a square wave in real time and, in conjunction with the captured frequency, to calculate the capacitance value in real time. The microcontroller is also used to introduce a sliding window that slides forward over time in the sequence of capacitance values ​​arranged in chronological order, perform median filtering on the capacitance values ​​in the current sliding window, calculate the capacitance change rate based on the median-filtered capacitance values, and generate an alarm signal and send it to a preset terminal when it is determined that the absolute value of the calculated capacitance change rate is greater than a preset threshold. The alarm signal indicates that the target detection battery has deformed.

[0036] The embodiments described above in this application include four core modules, among which the flexible capacitive sensor can be made of a porous parallel electrode plate (with a set size of, for example, 30mm × 50mm) made of conductive silicone. Figure 2 As shown), the initial spacing of the plates is specified as H mm, and they are directly attached to the battery surface. When battery deformation causes a change in spacing of ±0.1H mm (±10%), the capacitance value changes by ≥50HpF (≥5%). The operating frequency of the LC oscillation circuit is set to a MHz, and a variable inductance coil controlled by a digital potentiometer is connected (adjustment range set, accuracy ±1%) to automatically calibrate the initial capacitance to bpF. A high-speed comparator converts the oscillation waveform into a square wave signal. The microcontroller measures the square wave frequency through the input capture unit, based on the formula: C= , By reverse-engineering the capacitance value (setting L=cμH as a fixed inductance value), the capacitance change rate can be calculated.

[0037] Furthermore, such as Figure 3 As shown, the battery deforms (bulges), increasing the distance between the plates by 0.1H mm, and the capacitance value decreases from b pF. pF (rate of change) The output frequency of the LC oscillator circuit increased from a MHz to The high-speed comparator converts the decaying oscillation frequency into a square wave with a 50% duty cycle.

[0038] Then, as Figure 4 As shown, the capacitance value is collected once per second. ... (10-second sliding window) Median filtering is used to remove outliers deviating from the mean by ±5%. (Passed) C t =( -1)×100%, Calculate the rate of change of capacitance; specifically, this formula calculates the rate of change. .

[0039] An alarm is triggered when the rate of change after filtering exceeds ±15% (the default threshold) three times consecutively.

[0040] To improve monitoring accuracy, temperature sensors can also be used. As shown in Table 1, temperature data is used to compensate for the temperature drift of the capacitance value in real time, ensuring that the measurement error does not exceed ±0.5% within an ambient temperature range of -40℃ to 85℃. Alarm signals can be uploaded to the server via wireless communication technology, and users can remotely adjust the alarm threshold on their mobile phones as needed, with a setting range between ±10% and ±30%.

[0041] Table 1

[0042] It should be noted that other corresponding descriptions of the functional units involved in the battery deformation monitoring device provided in this application embodiment can be found by referring to... Figure 1 The corresponding descriptions in the method will not be repeated here.

[0043] Based on the above, Figure 1 Accordingly, this application also provides a storage medium storing a computer program, which, when executed by a processor, implements the above-described method. Figure 1 The battery deformation monitoring method shown.

[0044] Based on this understanding, the technical solution of this application can be embodied in the form of a software product. The software product can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, or portable hard drive), and includes several instructions to cause a computer device (such as a personal computer, server, or network device) to execute the methods described in the various implementation scenarios of this application.

[0045] Based on the above, Figure 1 The method shown, and Figure 2 To achieve the above objectives, the present application also provides a computer device, specifically a personal computer, server, network device, etc., as shown in the virtual device embodiment. This computer device includes a storage medium and a processor; the storage medium stores a computer program; the processor executes the computer program to achieve the above-described objectives. Figure 1 The battery deformation monitoring method shown.

[0046] Optionally, the computer device may also include a user interface, a network interface, a camera, radio frequency (RF) circuitry, sensors, audio circuitry, a Wi-Fi module, etc. The user interface may include a display screen, input units such as a keyboard, etc., and optional user interfaces may also include USB ports, card reader ports, etc. The network interface may optionally include standard wired interfaces, wireless interfaces (such as Bluetooth interfaces, Wi-Fi interfaces), etc.

[0047] Those skilled in the art will understand that the computer device structure provided in this embodiment does not constitute a limitation on the computer device, and may include more or fewer components, or combine certain components, or have different component arrangements.

[0048] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages and stores the hardware and software resources of a computer device, supporting the operation of information processing programs and other software and / or programs. The network communication module is used to enable communication between the various components within the storage medium, as well as communication with other hardware and software within the physical device.

[0049] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platform, or it can be implemented by hardware by using a flexible capacitive sensor attached to the surface of the target monitoring battery to sense the capacitance change caused by battery deformation; the capacitance change is converted into a frequency signal by an LC oscillation circuit; a high-speed comparator is used to convert the frequency signal into a square wave; the microcontroller captures the frequency of the square wave and calculates the capacitance value in reverse; combined with sliding window algorithm, median filtering and temperature compensation technology, the capacitance change rate is calculated; if the capacitance change rate exceeds a preset threshold, then the battery has deformed, thereby achieving a high-accuracy and high-reliability real-time monitoring and early warning effect for battery deformation phenomena.

[0050] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of a preferred embodiment, and the modules or processes shown in the drawings are not necessarily essential for implementing this application. Those skilled in the art will understand that the modules in the apparatus of the embodiment can be distributed within the apparatus of the embodiment as described, or can be modified to be located in one or more apparatuses different from this embodiment. The modules of the above-described embodiment can be combined into one module, or further divided into multiple sub-modules.

[0051] The serial numbers in this application are for descriptive purposes only and do not represent the superiority or inferiority of any particular implementation scenario. The above disclosures are merely a few specific implementation scenarios of this application; however, this application is not limited thereto, and any modifications that can be made by those skilled in the art should fall within the protection scope of this application.

Claims

1. A method for monitoring battery deformation, characterized in that, The method includes: A flexible capacitive sensor is used to sense in real time the capacitance change of the target detection battery caused by battery deformation, wherein the flexible capacitive sensor is attached to the surface of the target detection battery. The LC oscillation circuit converts the sensed capacitance changes into frequency signals in real time. The high-speed comparator converts the frequency signal into a square wave in real time; The microcontroller captures the frequency of the square wave in real time and calculates the capacitance value in real time by combining the captured frequency of the square wave. The microcontroller introduces a sliding window that moves forward over time in the sequence of capacitance values ​​arranged in chronological order. It performs median filtering on the capacitance values ​​within the current sliding window and calculates the rate of change of capacitance based on the filtered capacitance values. When the microcontroller determines that the absolute value of the calculated capacitance change rate is greater than a preset threshold, it generates an alarm signal and sends it to a preset terminal. The alarm signal indicates that the target detection battery has deformed.

2. The method according to claim 1, characterized in that, The microcontroller combines the frequency of the square wave captured in real time to calculate the capacitance value in real time, including: The microcontroller calculates the capacitance value based on the capacitance calculation formula and the frequency of the captured square wave. The capacitance calculation formula is as follows: C= ， C is the capacitance value, f is the frequency of the square wave, and L is the fixed inductance value, which is determined based on the preset center oscillation frequency and the initial capacitance reference value of the flexible capacitive sensor.

3. The method according to claim 1, characterized in that, The microcontroller calculates the rate of change of capacitance based on the median-filtered capacitance value, including: The microcontroller calculates the capacitance change rate corresponding to the sliding window based on the median-filtered capacitance value within the current sliding window, according to the capacitance change rate calculation formula and the median-filtered capacitance value. The capacitance change rate calculation formula is as follows: C t =( -1)×100％， C t The rate of change of capacitance. It is the median filtered capacitance value at the current moment. The value is the median filtered capacitance value at the starting position within the sliding window, and T is the preset length of the sliding window.

4. The method according to claim 1, characterized in that, The flexible capacitive sensor also includes a temperature sensor. After the microcontroller calculates the rate of change of capacitance, the method further includes: The temperature sensor collects the ambient temperature of the target detection battery in real time. The microcontroller performs temperature compensation on the calculated rate of change of capacitance based on the collected ambient temperature. The microcontroller determines the relationship between the rate of change of capacitance after temperature compensation and the preset threshold.

5. The method according to claim 4, characterized in that, The microcontroller performs temperature compensation on the calculated capacitance change rate based on the collected ambient temperature, including: The microcontroller determines the temperature change per second based on the collected ambient temperature. The microcontroller performs temperature compensation on the calculated capacitance change rate based on the temperature compensation formula and the determined temperature change per second, obtaining the temperature-compensated capacitance change rate. The temperature compensation formula is as follows: δC1=δC2-(α·ΔT), δC1 is the capacitance change rate after temperature compensation, δC2 is the capacitance change rate before temperature compensation, α is the preset temperature compensation coefficient, and ΔT is the temperature change per second.

6. The method according to claim 1, characterized in that, The flexible capacitive sensor consists of multiple flexible strain sensors that are parallel to each other and have reserved heat dissipation holes. The electrode material is conductive silicone, and the strain sensitivity coefficient of the electrode material is ≥2.

7. The method according to any one of claims 1 to 6, characterized in that, When the microcontroller determines that the absolute value of the calculated capacitance change rate is greater than a preset threshold, it generates an alarm signal and sends it to a preset terminal, including: When the microcontroller determines that the absolute value of the capacitance change rate calculated by the sliding window for a preset number of consecutive times is greater than the preset threshold, it generates an alarm signal and sends it to the preset terminal.

8. A battery deformation monitoring device, characterized in that, The device includes: Flexible capacitive sensors, LC oscillation circuits, high-speed comparators, and microcontrollers; A flexible capacitive sensor is used to sense in real time the capacitance change of a target detection battery caused by battery deformation, wherein the flexible capacitive sensor is attached to the surface of the target detection battery. An LC oscillation circuit is used to convert the sensed capacitance change into a frequency signal in real time. A high-speed comparator is used to convert frequency signals into square waves in real time. A microcontroller is used to capture the frequency of a square wave in real time and, in conjunction with the captured frequency, to calculate the capacitance value in real time. The microcontroller is also used to introduce a sliding window that slides forward over time in the sequence of capacitance values ​​arranged in chronological order, perform median filtering on the capacitance values ​​in the current sliding window, calculate the capacitance change rate based on the median-filtered capacitance values, and generate an alarm signal and send it to a preset terminal when it is determined that the absolute value of the calculated capacitance change rate is greater than a preset threshold. The alarm signal indicates that the target detection battery has deformed.

9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the battery deformation monitoring method according to any one of claims 1 to 7.

10. A computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the battery deformation monitoring method according to any one of claims 1 to 7.

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