Battery short circuit degree calibration method and device, terminal equipment and storage medium
By establishing a calibration database in an adiabatic environment and calculating the equivalent external short-circuit resistance change curve, the problem that the nail penetration test cannot quantify internal short circuits is solved, and the accuracy and comparability of battery safety assessment are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- LIYANG HINA BATTERY TECH CO LTD
- Filing Date
- 2026-03-27
- Publication Date
- 2026-05-05
AI Technical Summary
Existing technologies cannot provide quantitative characteristic parameters for internal short circuits caused by needle penetration, which makes it impossible for battery management systems to set accurate internal short circuit warning thresholds, simulation engineers lack key boundary conditions, and battery designers find it difficult to compare safety performance.
A calibration database is established by conducting controlled external short-circuit tests in an adiabatic environment. Battery voltage, current, and adiabatic temperature rise data are collected, real-time heat generation power is calculated, and the equivalent external short-circuit resistance value is inverted to generate a resistance-time curve, thereby achieving a quantitative assessment of internal short circuits.
It improves the accuracy and repeatability of battery safety assessments, provides clear dynamic parameters, and supports precise safety assessments of battery design and management systems.
Smart Images
Figure CN121978550A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of new energy battery technology, and in particular to a method, apparatus, terminal equipment and storage medium for calibrating the short circuit degree of a battery. Background Technology
[0002] The nail penetration test is one of the most stringent and direct methods for evaluating the safety of sodium-ion batteries, simulating an internal short circuit to trigger thermal runaway. However, traditional nail penetration tests are only a qualitative "pass / fail" evaluation method (e.g., observing whether fire or explosion occurs). The test results are heavily dependent on specific conditions such as the location, speed, and material of the needle, resulting in poor repeatability and the inability to provide any quantitative parameters. The core technical challenge faced by those skilled in the art is how to obtain quantitative characteristic parameters of this transient, violent, and non-repeatable internal short circuit process. The lack of this parameter prevents battery management systems from setting precise internal short circuit warning thresholds based on experimental data, simulation engineers from lacking key boundary condition inputs when building thermal runaway models, and battery designers from accurately comparing the safety performance of different design schemes. Existing technologies include studies that simulate internal short circuits through external heating or external short circuits, but none of these have resolved the fundamental differences between actual nail penetration internal short circuits and real internal short circuits in terms of localized heat distribution, process dynamics, and triggered chemical reactions, thus failing to provide equivalent quantitative indicators. Summary of the Invention
[0003] In view of this, embodiments of this application provide a method, apparatus, terminal device, and storage medium for calibrating the degree of battery short circuit, which can effectively solve the problem of not being able to provide equivalent quantitative indicators.
[0004] In a first aspect, embodiments of this application provide a method for calibrating the degree of battery short circuit, including: In an adiabatic environment, a controllable external short-circuit test with multiple preset resistance values is performed on the target battery sample. Test data at each preset resistance value is collected simultaneously, and a calibration database is established based on the test data. In the same adiabatic environment, the target battery sample was subjected to a needle penetration test, and the battery voltage and adiabatic temperature rise data were collected simultaneously during the needle penetration process. Based on the adiabatic temperature rise data, the real-time heat generation power of the battery during the needle penetration process is calculated. The real-time heat generation power is matched and inverted with the calibration database to obtain the equivalent external short-circuit resistance value corresponding to the same heat generation power at each moment during the acupuncture process. Based on the moment and the corresponding equivalent external short-circuit resistance value, an equivalent resistance versus time curve is generated.
[0005] In some embodiments, the adiabatic environment is provided by an accelerating calorimeter, and ambient heat loss is ignored.
[0006] In some embodiments, the test data includes battery voltage, current, and adiabatic temperature rise data.
[0007] In some embodiments, calculating the real-time heat generation power of the battery during acupuncture includes: The instantaneous temperature rise rate is obtained by differentiating the adiabatic temperature rise data, and the real-time heat generation power is calculated based on the instantaneous temperature rise rate. The calculation expression for the real-time heat generation power is as follows: P 针 (t) = C batt (dT 针 (t) / dt); In the formula, P 针 (t) represents the real-time heat generation power, C batt For the overall heat capacity of the battery, dT 针 (t) / dt is the instantaneous temperature rise rate.
[0008] In some embodiments, establishing a calibration database based on the test data includes: The theoretical heat production power is calculated using Joule's law, and the actual heat production power is calculated using a heat capacity model. Calculate the difference between the theoretical heat production power and the actual heat production power. If the difference is less than a preset threshold, the actual heat production power is included in the calibration database as valid data.
[0009] In some embodiments, matching and inverting the real-time heat generation power with the calibration database to obtain the equivalent external short-circuit resistance value corresponding to the same heat generation power at each moment during acupuncture includes: For any moment during the acupuncture process, search the calibration database to obtain the external short-circuit resistance value that can generate the same heat generation power as the real-time heat generation power under the battery voltage at that moment. The external short-circuit resistance value is the equivalent external short-circuit resistance value.
[0010] In some embodiments, the method further includes: When there is no perfectly matching data item in the calibration database, an interpolation algorithm is used to construct a functional relationship between the heat generation power and the external short-circuit resistance based on the heat generation power-voltage relationship under adjacent resistance conditions, and then solves the equivalent external short-circuit resistance value.
[0011] Secondly, this application also provides a battery short-circuit degree calibration device, comprising: The database establishment module is used to perform controllable external short-circuit tests on target battery samples with multiple preset resistance values in an adiabatic environment, synchronously collect test data at each preset resistance value, and establish a calibration database based on the test data. The adiabatic temperature rise data acquisition module is used to perform a needle penetration test on the target battery sample in the same adiabatic environment and simultaneously collect battery voltage and adiabatic temperature rise data during the needle penetration process. The calculation module calculates the real-time heat generation power of the battery during the adiabatic temperature rise data. The calibration module is used to match and invert the real-time heat generation power with the calibration database to obtain the equivalent external short-circuit resistance value corresponding to the same heat generation power at each moment during the acupuncture process, and generate an equivalent resistance change curve over time based on the moment and the corresponding equivalent external short-circuit resistance value.
[0012] Thirdly, this application also provides a terminal device, the terminal device including a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the battery short circuit degree calibration method.
[0013] Fourthly, this application also provides a readable storage medium storing a computer program that, when executed on a processor, implements the battery short-circuit degree calibration method.
[0014] The embodiments of this application have the following beneficial effects: The battery short-circuit severity calibration method in this embodiment calibrates uncontrollable needle-puncture internal short circuits by using controllable external short circuits. This breaks through the limitations of traditional methods that are limited to direct measurement or theoretical simulation. By establishing a calibration database under different aging conditions, it can not only accurately quantify the severity of internal short circuits, but also output dynamic parameters with clear engineering implications, greatly improving the accuracy, depth, and practicality of battery safety assessment. Attached Figure Description
[0015] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0016] Figure 1 This paper illustrates a schematic flowchart of a battery short-circuit degree calibration method according to an embodiment of this application. Figure 2 A schematic diagram of a battery short-circuit degree calibration device according to an embodiment of this application is shown. Detailed Implementation
[0017] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.
[0018] The components of the embodiments of this application described and illustrated in the accompanying drawings can be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of this application provided in the drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.
[0019] In the following text, the terms "comprising," "having," and their cognates, which may be used in various embodiments of this application, are intended only to indicate a particular feature, number, step, operation, element, component, or combination thereof, and should not be construed as primarily excluding the presence of one or more other features, numbers, steps, operations, elements, components, or combinations thereof, or adding the possibility of one or more combinations thereof. Furthermore, the terms "first," "second," "third," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance.
[0020] Unless otherwise specified, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of this application pertain. Terms (such as those defined in commonly used dictionaries) shall be interpreted as having the same meaning as in their contextual meaning in the relevant technical field and shall not be construed as having an idealized or overly formal meaning, unless clearly defined in the various embodiments of this application.
[0021] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.
[0022] To address the problems of existing technologies, this application provides a method for calibrating the short-circuit degree of batteries. This method involves establishing a calibration database, performing a nail penetration test, calculating the real-time heat generation power, and combining this data with the established calibration database to generate an equivalent resistance versus time curve, thereby achieving the calibration operation. Through a standardized adiabatic environment and calibration process, nail penetration test results from different batches and models of batteries can be uniformly compared and rated using equivalent resistance, improving the repeatability and comparability of the tests. This significantly enhances the accuracy of safety design.
[0023] The following examples illustrate the method for calibrating the short-circuit degree of this battery.
[0024] Figure 1 A flowchart illustrating a battery short-circuit severity calibration method according to an embodiment of this application is shown. Exemplarily, the battery short-circuit severity calibration method includes the following steps: Step S100: In an adiabatic environment, perform a controllable external short-circuit test on the target battery sample with multiple preset resistance values, simultaneously collect test data at each preset resistance value, and establish a calibration database based on the test data.
[0025] The technical solution of this embodiment aims to overcome the shortcomings of the prior art and provide an equivalent calibration method and system for quantifying the severity of short circuits in batteries, so as to solve the industry problem that the needle penetration test cannot provide quantitative parameters and the results cannot be directly applied to engineering design.
[0026] Therefore, this embodiment first establishes a calibration database, which is used to represent a scale of known input (resistance) - measurable output (temperature rise).
[0027] First, in an adiabatic environment, a series of controllable external short-circuit tests with different resistance values are performed on the battery samples of the model under test. Test data under each test condition is collected simultaneously. The test data includes battery voltage, current and adiabatic temperature rise data. Based on these test data, a calibration database of external short-circuit resistance-heat generation power-temperature rise response is established.
[0028] Specifically, a cylindrical battery with a capacity of 10Ah was first selected as the test sample. The thermal capacity of the battery sample was tested in an adiabatic accelerated calorimeter to accurately determine its overall thermal capacity C. batt Using an accelerated calorimeter can isolate the external environment and eliminate the possibility of heat loss from the environment.
[0029] Then, a series of external short-circuit tests were performed on the battery samples in the same adiabatic accelerated calorimeter. Stable short-circuit resistances, including 0.5mΩ, 1mΩ, 2mΩ, 5mΩ, 10mΩ, and 20mΩ, were applied sequentially through a programmable resistance box.
[0030] The resistors mentioned above are preset before testing, and their specific values can be adjusted according to actual conditions. For example, the test range can be reduced to increase test accuracy.
[0031] In each test, the battery terminal voltage V can be synchronously acquired at a sampling rate of 100kHz. 短 (t), loop current I 短 (t) and the temperatures at multiple points on the battery surface are used to obtain the adiabatic temperature rise curve T. 短 (t). According to formula P 短 (t)=I 短 The theoretical Joule heat power is calculated using ²(t)R short, and derived from the heat capacity model: Pshort(t) = C batt (dT / dt); The actual heat output calculated in this way is compared and verified to ensure the validity of the data.
[0032] For example, the difference between the theoretical heat production power and the actual heat production power is calculated. If the difference is less than a preset threshold, the actual heat production power is included in the calibration database as valid data.
[0033] By testing all battery samples in this way, each sample can be subjected to the aforementioned series of short-circuit resistance tests, thereby obtaining multiple voltage, current, and temperature data, and consequently, multiple actual heat generation power data. Through the above comparison and verification, a system based on "external short-circuit resistance R" is ultimately established. 短 The database uses “Instantaneous Battery Voltage V” and “Instantaneous Battery Voltage V” as indexes, corresponding to the calibration databases for “Heat Generation Power P” and “Temperature Rise Rate dT / dt”.
[0034] This calibration database can serve as a benchmark for subsequent calibrations. It can be considered an absolute reference dataset established for a specific type of battery. After establishing this calibration database, corresponding nail penetration tests can be performed based on it.
[0035] Step S200: Under the same adiabatic environment, the target battery sample is subjected to a needle penetration test, and the battery voltage and adiabatic temperature rise data are collected simultaneously during the needle penetration process.
[0036] In the same adiabatic environment as in step S100, a nail penetration test is performed on a battery identical to the target battery sample, and the battery voltage and adiabatic temperature rise data are acquired in real time during the test.
[0037] The needle puncture speed can be 25 mm / s, and the steel needle diameter is 3 mm. Battery voltage V at the moment of needle puncture and subsequent processes is acquired at the same 100 kHz sampling rate. 针 (t) and the adiabatic temperature rise curve T 针 (t).
[0038] For example, a high-voltage differential probe or an isolated voltage acquisition module can be used to connect to the positive and negative terminals of the battery. The wires must then pass through the calorimeter's sealed interface to avoid interfering with thermal balance. A four-wire connection is also recommended to reduce the impact of contact resistance for voltage acquisition. The sampling frequency should be ≥ 100kHz because the voltage can drop within microseconds due to the surge in current during needle penetration. Insufficient sampling will result in the loss of key dynamic characteristics (such as voltage descent rate and oscillation behavior), affecting subsequent matching accuracy.
[0039] After acquiring the data, a digital low-pass filter (such as a Butterworth filter) can be used to remove high-frequency electromagnetic interference, but the cutoff frequency should be higher than the frequency band of interest (usually >10kHz) to prevent signal distortion.
[0040] For temperature acquisition, thermocouples can be used, such as the commonly used K-type or T-type, which have fast response and high temperature resistance.
[0041] It can be placed on the battery surface. When collecting temperature data, its sampling frequency is ≥1kHz. Since the temperature changes relatively slowly, it can be slightly lower than the voltage sampling frequency.
[0042] Step S300: Based on the adiabatic temperature rise data, calculate the real-time heat generation power of the battery during the needle puncture process.
[0043] First, differentiate the adiabatic temperature rise data to obtain the instantaneous temperature rise rate dT. 针 (t) / dt.
[0044] Then, the real-time heat generation power of the acupuncture process can be calculated based on the instantaneous temperature rise rate.
[0045] The calculation expression for the real-time heat generation power is as follows: P 针 (t) = C batt (dT 针 (t) / dt); In the formula, P 针 (t) represents the real-time heat generation power, C batt For the overall heat capacity of the battery, dT 针 (t) / dt is the instantaneous temperature rise rate.
[0046] Step S400: Match and invert the real-time heat generation power with the calibration database to obtain the equivalent external short-circuit resistance value corresponding to the same heat generation power at each moment during the acupuncture process. Based on the moment and the corresponding equivalent external short-circuit resistance value, generate an equivalent resistance change curve over time.
[0047] For each sampling time point t(i) during the acupuncture process, read the battery voltage V(t_i) and heat generation power P at that moment. 针 (t_i). In the calibration database, find the output power P that produces the same amount of heat under the same voltage V(t_i). 针 (t_i) is the required external short-circuit resistance value. The resistance value obtained by solving is the equivalent short-circuit resistance R at this moment during the needle puncture.
[0048] Specifically, for any moment t during the acupuncture process, the calibration database is searched to find the parameter that, at that moment, the battery voltage V(t), can produce a result similar to P. 针(t) The external short-circuit resistance value for the same heat output power is R. 短 (t).
[0049] Alternatively, the equivalent short-circuit resistance R can be obtained by establishing an interpolation function of the heat generation power with respect to the external short-circuit resistance.
[0050] After iterating through all time points, a complete curve of equivalent resistance changing over time can be generated. This curve is the calibration result of the method in this embodiment.
[0051] It is understandable that the curve of equivalent resistance changing over time is a quantitative assessment result of the change in internal resistance of the battery after the nail penetration test. Based on the change of this curve, in some practical application scenarios, the degree of short circuit inside the battery can be clearly understood, which plays an effective assessment role.
[0052] After obtaining the calibration result, the curve R of the equivalent resistance changing over time can be obtained. 短 The minimum value of (t) R min The integral value within a specific time window, or the value of the integral within that window, serves as the direct basis for setting the short-circuit fault warning threshold within the battery management system. For example, R... min Set as the short-circuit fault warning threshold within the battery management system; when the short-circuit resistance is greater than R... min In such cases, a power outage will be initiated to protect the battery.
[0053] This embodiment of the battery short-circuit calibration method, by constructing an external short-circuit calibration database and reversing the equivalent short-circuit resistance over time, transforms for the first time an unrepeatable, transient, and destructive experiment into a measurable and comparable dynamic parameter output, achieving a fundamental leap from "whether there is danger" to "how dangerous." It proposes a methodological framework for calibrating uncontrollable needle-puncture internal short circuits using a controllable external short circuit. Based on the principle of energy equivalence, it establishes a calculable mapping relationship between two fundamentally different short-circuit modes. By establishing calibration databases under different aging conditions, this method can also be extended to assess the evolution trend of internal short-circuit risk in batteries after cycling or storage, providing data support for safety assessments of cascade utilization and recycling. It overcomes the major shortcomings of traditional needle-puncture tests, such as the inability to provide quantitative parameters, poor result repeatability, and difficulty in guiding engineering design, proposing a scientific, reliable, and scalable equivalent calibration method. This method can not only accurately quantify the severity of internal short circuits, but also output dynamic parameters with clear engineering implications, greatly improving the accuracy, depth and practicality of battery safety assessment. It is of great significance for promoting the safety technology advancement of high-performance sodium-ion batteries and other new energy storage devices.
[0054] Figure 2A schematic diagram of a battery short-circuit degree calibration device according to an embodiment of this application is shown. Exemplarily, this battery short-circuit degree calibration device includes: The database establishment module 10 is used to perform controllable external short-circuit tests on target battery samples with multiple preset resistance values in an adiabatic environment, synchronously collect test data under each preset resistance value, and establish a calibration database based on the test data. The adiabatic temperature rise data acquisition module 20 is used to perform a needle penetration test on the target battery sample in the same adiabatic environment and simultaneously collect battery voltage and adiabatic temperature rise data during the needle penetration process. The calculation module 30 calculates the real-time heat generation power of the battery during the adiabatic temperature rise data. The calibration module 40 is used to match and invert the real-time heat generation power with the calibration database to obtain the equivalent external short-circuit resistance value corresponding to the same heat generation power at each moment during the acupuncture process, and generate an equivalent resistance change curve over time based on the moment and the corresponding equivalent external short-circuit resistance value.
[0055] It is understood that the device in this embodiment corresponds to the battery short circuit degree calibration method in the above embodiment, and the options in the above embodiment are also applicable to this embodiment, so they will not be described again here.
[0056] This application also provides a terminal device, exemplary of which includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to enable the terminal device to perform the functions of the various modules in the above-described battery short circuit degree calibration method or the above-described battery short circuit degree calibration device.
[0057] The processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, including at least one of a Central Processing Unit (CPU), Graphics Processing Unit (GPU), Network Processor (NP), Digital Signal Processor (DSP), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments of this application.
[0058] The memory can be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), etc. The memory is used to store computer programs, and the processor can execute the computer programs accordingly after receiving execution instructions.
[0059] This application also provides a readable storage medium for storing the computer program used in the aforementioned terminal device.
[0060] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that, in alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.
[0061] In addition, the functional modules or units in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.
[0062] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a smartphone, personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0063] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.
Claims
1. A method for calibrating the degree of battery short circuit, characterized in that, include: In an adiabatic environment, a controllable external short-circuit test with multiple preset resistance values is performed on the target battery sample. Test data at each preset resistance value is collected simultaneously, and a calibration database is established based on the test data. In the same adiabatic environment, the target battery sample was subjected to a needle penetration test, and the battery voltage and adiabatic temperature rise data were collected simultaneously during the needle penetration process. Based on the adiabatic temperature rise data, the real-time heat generation power of the target battery sample during the needle puncture process is calculated; The real-time heat generation power is matched and inverted with the calibration database to obtain the equivalent external short-circuit resistance value corresponding to the same heat generation power at each moment during the acupuncture process. Based on the moment and the corresponding equivalent external short-circuit resistance value, an equivalent resistance versus time curve is generated.
2. The battery short-circuit degree calibration method according to claim 1, characterized in that, The adiabatic environment is provided by an accelerating calorimeter.
3. The battery short-circuit degree calibration method according to claim 1, characterized in that, The test data includes: battery voltage, current, and adiabatic temperature rise data.
4. The battery short-circuit degree calibration method according to claim 1, characterized in that, The calculation of the real-time heat generation power of the battery during the needle puncture process includes: The instantaneous temperature rise rate is obtained by differentiating the adiabatic temperature rise data, and the real-time heat generation power is calculated based on the instantaneous temperature rise rate. The calculation expression for the real-time heat generation power is as follows: P 针 (t) = C batt (dT 针 (t) / dt); In the formula, P 针 (t) represents the real-time heat generation power, C batt For the overall heat capacity of the battery, dT 针 (t) / dt is the instantaneous temperature rise rate.
5. The battery short-circuit degree calibration method according to claim 2, characterized in that, The step of establishing a calibration database based on the test data includes: The theoretical heat production power is calculated using Joule's law, and the actual heat production power is calculated using a heat capacity model. Calculate the difference between the theoretical heat production power and the actual heat production power. If the difference is less than a preset threshold, the actual heat production power is included in the calibration database as valid data.
6. The battery short-circuit degree calibration method according to claim 1, characterized in that, The step of matching and inverting the real-time heat generation power with the calibration database to obtain the equivalent external short-circuit resistance value corresponding to the same heat generation power at each moment during the acupuncture process includes: For any moment during the acupuncture process, search the calibration database to obtain the external short-circuit resistance value that can generate the same heat generation power as the real-time heat generation power at the battery voltage at that moment. The external short-circuit resistance value is the equivalent external short-circuit resistance value.
7. The battery short-circuit degree calibration method according to claim 1, characterized in that, Also includes: When there is no perfectly matching data item in the calibration database, an interpolation algorithm is used to construct a functional relationship between the heat generation power and the external short-circuit resistance based on the heat generation power-voltage relationship under adjacent resistance conditions, and then solves the equivalent external short-circuit resistance value.
8. A battery short-circuit degree calibration device, characterized in that, include: The database establishment module is used to perform controllable external short-circuit tests on target battery samples with multiple preset resistance values in an adiabatic environment, synchronously collect test data at each preset resistance value, and establish a calibration database based on the test data. The adiabatic temperature rise data acquisition module is used to perform a needle penetration test on the target battery sample in the same adiabatic environment and simultaneously collect battery voltage and adiabatic temperature rise data during the needle penetration process. The calculation module calculates the real-time heat generation power of the battery during the adiabatic temperature rise data. The calibration module is used to match and invert the real-time heat generation power with the calibration database to obtain the equivalent external short-circuit resistance value corresponding to the same heat generation power at each moment during the acupuncture process, and generate an equivalent resistance change curve over time based on the moment and the corresponding equivalent external short-circuit resistance value.
9. A terminal device, characterized in that, The terminal device includes a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the battery short-circuit degree calibration method according to any one of claims 1-7.
10. A readable storage medium, characterized in that, It stores a computer program, which, when executed on a processor, implements the battery short-circuit degree calibration method according to any one of claims 1-7.