Solid-state battery multi-dimensional performance testing apparatus, system, and method

Abstract

The application relates to a solid-state battery multidimensional performance testing device, system and method. The device comprises a carrier, a distributed optical fiber, a wire, a modem, a charge-discharge testing machine and a processor; the processor is in communication connection with the modem and the charge-discharge testing machine respectively, and the modem is also connected with the distributed optical fiber; the distributed optical fiber is arranged in a wave shape on the surface of a battery to be tested during the testing of the battery to be tested; the charge-discharge testing machine is connected with a terminal post of the battery to be tested through the wire; the charge-discharge testing machine is used for sending electrical parameters in the charge-discharge process of the battery to be tested to the processor; the modem is used for collecting a first temperature value and a stress value of the distributed optical fiber along a line in the charge-discharge process of the battery to be tested; and the processor is used for establishing a first physical field model according to the electrical parameters, the first temperature value and the stress value, and obtaining performance parameters of the battery to be tested through the first physical field model. The method can accurately evaluate the performance of the solid-state battery.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of batteries, in particular to a solid-state battery multi-dimensional performance testing device, system and method. BACKGROUND

[0002] With the rapid development of the new energy field, solid-state batteries have gradually become an important direction of the next generation of energy storage technology. In the actual research and industrialization process of solid-state batteries, in order to ensure their performance and safety under complex working conditions, the performance of solid-state batteries needs to be evaluated.

[0003] However, in the traditional technology, there may be a problem that the performance of the solid-state battery cannot be accurately evaluated. SUMMARY

[0004] Therefore, it is necessary to provide a solid-state battery multi-dimensional performance testing device, system and method capable of accurately evaluating the performance of a solid-state battery.

[0005] In a first aspect, the present application provides a solid-state battery multi-dimensional performance testing device, comprising: a carrier, a distributed optical fiber, a wire, a modem, a charge-discharge tester and a processor; the processor is in communication connection with the modem and the charge-discharge tester, and the modem is also connected with the distributed optical fiber; the carrier is used for carrying a battery to be tested, and the distributed optical fiber is arranged in a wave shape on the surface of the battery to be tested during the testing of the battery to be tested; the charge-discharge tester is connected with the terminal post of the battery to be tested through the wire.

[0006] The charge-discharge tester is used for sending the electrical parameters of the battery to be tested during the charging and discharging process to the processor.

[0007] The modem is used for collecting the first temperature value and the stress value of the distributed optical fiber along the line during the charging and discharging process of the battery to be tested.

[0008] The processor is used for establishing a first physical field model according to the electrical parameters, the first temperature value and the stress value, and obtaining the performance parameters of the battery to be tested through the first physical field model.

[0009] In one embodiment, the processor is used for determining the measurement point information of the distributed optical fiber according to the calibration temperature value of the battery to be tested collected by the modem during the charging process, and sending the measurement point information to the modem.

[0010] The modem is used for collecting the first temperature value and the stress value of the distributed optical fiber along the line according to the measurement point information during the charging and discharging process of the battery to be tested.

[0011] In one of the embodiments, the processor is configured to interpolate the first temperature value and the stress value to obtain an interpolated temperature value and an interpolated stress value, and to establish the first physical field model according to the electrical parameter, the interpolated stress value and the interpolated temperature value.

[0012] In one of the embodiments, the solid-state battery multi-dimensional performance testing device further comprises an infrared sensor; the infrared sensor is in communication connection with the processor.

[0013] The infrared sensor is configured to collect a second temperature value of the surface of the battery under test during the charging and discharging process of the battery under test.

[0014] The processor is configured to establish a second physical field model according to the electrical parameter, the stress value, the first temperature value and the second temperature value, and to obtain the performance parameter of the battery through the second physical field model.

[0015] In one of the embodiments, the processor is configured to obtain a union set of the first temperature value and the second temperature value, and to establish the second physical field model according to the electrical parameter, the stress value and the temperature value in the union set.

[0016] In one of the embodiments, the carrier comprises a first cover plate, a second cover plate and a bearing plate; the first cover plate and the second cover plate are detachably connected with the bearing plate; the bearing plate is configured to bear the battery under test; the first cover plate is arranged on the surface of the battery under test close to the distributed optical fiber, and the surface of the first cover plate is provided with test holes matching the distribution shape of the distributed optical fiber; the number of the test holes is determined according to the number of the fluctuation periods of the distributed optical fiber.

[0017] In a second aspect, the application further provides a solid-state battery multi-dimensional performance testing system, comprising any one of the solid-state battery multi-dimensional performance testing devices provided in the first aspect and the battery under test.

[0018] In a third aspect, the application further provides a solid-state battery multi-dimensional performance testing method applied to any one of the solid-state battery multi-dimensional performance testing devices provided in the first aspect, and the method comprises the following steps:

[0019] The electrical parameter of the battery under test during the charging and discharging process is obtained through the charging and discharging tester.

[0020] The first temperature value and the stress value of the distributed optical fiber along the line during the charging and discharging process of the battery under test are obtained through the modem.

[0021] The first physical field model is established according to the electrical parameter, the first temperature value and the stress value; and the performance parameter of the battery under test is obtained through the first physical field model.

[0022] In one of the embodiments, the first physical field model is established according to the electrical parameter, the first temperature value and the stress value, which comprises the following steps:

[0023] interpolating the first temperature value and the stress value to obtain an interpolated temperature value and an interpolated stress value;

[0024] establishing a first physical field model according to the electrical parameter, the interpolated stress value and the interpolated temperature value.

[0025] In one embodiment, the method further comprises:

[0026] obtaining a second temperature value on the surface of the battery under test during the charging and discharging process of the battery under test through an infrared sensor;

[0027] obtaining a union of the first temperature value and the second temperature value;

[0028] establishing a second physical field model according to the electrical parameter, the stress value and the temperature value in the union;

[0029] obtaining the performance parameter of the battery under test through the second physical field model.

[0030] The solid-state battery multi-dimensional performance testing device, system and method, comprising: the solid-state battery multi-dimensional performance testing device comprises a carrier, a distributed optical fiber, a wire, a modem, a charging and discharging tester and a processor; the processor is in communication connection with the modem and the charging and discharging tester respectively, and the modem is also connected with the distributed optical fiber; the carrier is used for carrying the battery under test, and the distributed optical fiber is arranged in a wave shape on the surface of the battery under test during the testing of the battery under test; the charging and discharging tester is connected with the terminal post of the battery under test through the wire; the charging and discharging tester is used for sending the electrical parameter in the charging and discharging process of the battery under test to the processor; the modem is used for collecting the first temperature value and the stress value of the distributed optical fiber along the line during the charging and discharging process of the battery under test; the processor is used for establishing a first physical field model according to the electrical parameter, the first temperature value and the stress value, and obtaining the performance parameter of the battery under test through the first physical field model, so that the performance of the solid-state battery can be accurately evaluated. BRIEF DESCRIPTION OF DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments or the related art, the following will briefly introduce the drawings needed to be used in the embodiments or the related art description. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without any creative effort.

[0032] Figure 1 It is a structural schematic diagram of the solid-state battery multi-dimensional performance testing device in one embodiment;

[0033] Figure 2 It is a structural schematic diagram of part of the distributed optical fiber in one embodiment;

[0034] Figure 3 This is a schematic diagram of a multi-dimensional performance testing device for a solid-state battery, including an infrared sensor, in one embodiment.

[0035] Figure 4 This is a schematic diagram of a multi-dimensional performance testing device for a solid-state battery, including test channels, in one embodiment.

[0036] Figure 5 This is a schematic diagram of the layout structure of some test channels in one embodiment;

[0037] Figure 6 This is a schematic diagram showing the location of the hydraulic power unit in one embodiment;

[0038] Figure 7 This is a schematic diagram of the structure of a multi-dimensional performance testing device for solid-state batteries in another embodiment;

[0039] Figure 8 This is a schematic diagram of the distributed optical fiber deployment structure of some solid-state battery cells in one embodiment.

[0040] Figure 9 This is a flowchart illustrating a multi-dimensional performance testing method for solid-state batteries in one embodiment.

[0041] Figure 10 This is a flowchart illustrating the process of establishing a first physical field model in one embodiment;

[0042] Figure 11 This is a flowchart illustrating the process of establishing a second physical field model in one embodiment;

[0043] Explanation of reference numerals in the attached figures:

[0044] 10: Solid-state battery multi-dimensional performance testing equipment; 100: Vehicle;

[0045] 200: Battery under test; 300: Distributed optical fiber; 400: Modem / demodulator;

[0046] 500. Wires; 600. Charge / discharge tester; 700. Processor;

[0047] 800. Infrared sensor; 900. Data acquisition instrument; 111. Pressure sensor;

[0048] 112. Hydraulic power unit; 101. Bearing plate; 102. First cover plate;

[0049] 103. Second cover plate; 201. Terminal block; 301. First distributed optical fiber;

[0050] 302. Second distributed optical fiber; 303. Target point; 304. Optical fiber protective shell;

[0051] 1022. Test channel. Detailed Implementation

[0052] To make the above-mentioned objectives, features, and advantages of this application more apparent and understandable, the specific embodiments of this application are described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of this application. However, this application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of this application. Therefore, this application is not limited to the specific embodiments disclosed below.

[0053] In the description of this application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicating the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0054] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0055] In this application, unless otherwise expressly specified and limited, the terms "installation," "connection," "joining," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise expressly limited. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0056] In this application, unless otherwise expressly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "on top of," and "over" the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0057] It should be noted that when an element is referred to as being "fixed to" or "set on" another element, it can be directly on the other element or there may be an intervening element. When an element is considered to be "connected to" another element, it can be directly connected to the other element or there may be an intervening element. The terms "vertical," "horizontal," "upper," "lower," "left," "right," and similar expressions used herein are for illustrative purposes only and do not represent the only possible implementation.

[0058] Solid-state batteries use solid electrolytes instead of traditional liquid electrolytes, theoretically offering higher thermal stability and short-circuit resistance. However, defects in materials or processes, such as poor interfacial contact or cracking of the solid electrolyte, can still lead to thermal runaway. Furthermore, the manufacturing processes of solid-state batteries (such as thin-film deposition and electrode-electrolyte co-sintering) are highly complex and prone to introducing microscopic defects (pores, cracks). Therefore, comprehensive testing of solid-state batteries is crucial for accident prevention. Traditional technologies monitor solid-state batteries using point signal testing; however, these methods only acquire limited local data and electrical performance parameters, failing to provide comprehensive analysis and monitoring. Therefore, this application proposes a multi-dimensional performance testing device 10 for solid-state batteries. This device monitors the electrical, temperature, and mechanical signals of the battery under test 200 and constructs a physical field model, enabling intuitive observation and evaluation of the overall physical field of the battery during cyclic charging and discharging, thereby achieving accurate performance evaluation of the solid-state battery.

[0059] Firstly, please refer to Figure 1 , Figure 1This embodiment shows a schematic diagram of the structure of the solid-state battery multi-dimensional performance testing device 10, including: a carrier 100, a distributed optical fiber 300, a wire 500, a modem 400, a charge / discharge tester 600, and a processor 700; the processor 700 is communicatively connected to the modem 400 and the charge / discharge tester 600, and the modem is also connected to the distributed optical fiber 300; the carrier 100 is used to carry the battery under test 200, and the distributed optical fiber 300 is arranged in a wave-like pattern on the battery under test 200 during the testing process. The surface; the charge / discharge tester 600 is connected to the terminal 201 of the battery under test 200 via the wire 500; the charge / discharge tester 600 is used to send the electrical parameters of the battery under test 200 during the charge / discharge process to the processor 700; the modem 400 is used to collect the first temperature value and stress value along the distributed optical fiber 300 during the charge / discharge process of the battery under test 200; the processor 700 is used to establish a first physical field model based on the electrical parameters, the first temperature value and the stress value, and to obtain the performance parameters of the battery under test 200 through the first physical field model.

[0060] The battery under test 200 refers to the target battery that needs to be tested for performance, preferably a solid-state battery cell; in a feasible embodiment, the battery under test 200 can also be a battery module composed of multiple solid-state battery cells.

[0061] The battery under test 200 is mounted on the carrier 100. During performance testing of the battery under test 200, distributed optical fibers 300 are arranged in a wavy pattern on the surface of the battery under test 200. Optionally, the distributed optical fibers 300 include a first distributed optical fiber 301 and a second distributed optical fiber 302, both arranged along the length of the battery under test 200 in a preset wavy path and fixed to the surface of the battery under test 200 with adhesive. The wavy path arrangement increases the contact area between the distributed optical fibers 300 and the surface of the battery under test 200, enhancing the ability of the distributed optical fibers 300 to sense multi-directional temperature and stress changes of the battery under test 200. For example, ethyl α-cyanoacrylate can be used as the adhesive. The spacing l between adjacent target points 303 of the first distributed optical fiber 301 and the second distributed optical fiber 302 along their wavy path along the length of the battery under test 200 remains equal and less than a preset spacing. This preset spacing can be set to 1 / 10 of the length L of the battery under test 200. (See [link to relevant documentation]). Figure 1 and Figure 2 , Figure 2This is a schematic diagram of the structure of a portion of the distributed optical fiber 300 in this embodiment. The adjacent target point 303 refers to the point located on both sides of the same inflection point in the wavy path of the distributed optical fiber 300, corresponding to the symmetrically arranged position of the inflection point. In this embodiment, keeping the spacing l between adjacent target points 303 equal can ensure the spatial sampling uniformity of the first distributed optical fiber 301 and the second distributed optical fiber 302, thereby obtaining smoother and more continuous temperature field or stress field data, and improving the stability and reliability of solid-state battery performance testing. At the same time, the spacing l between adjacent target points 303 is less than the preset spacing, which can reduce the monitoring blind zone range and further improve the monitoring accuracy of the battery under test 200.

[0062] The ends of the first distributed optical fiber 301 and the second distributed optical fiber 302 furthest from the battery under test 200 are respectively connected to the modem 400 to monitor the first temperature and stress values ​​of the battery under test 200 during cyclic charging and discharging. The first distributed optical fiber 301 and the second distributed optical fiber 302 are wound together on the surface of the battery under test 200, with a tight arrangement without gaps. This ensures that the first temperature and stress values ​​collected by the distributed optical fiber 300 and the modem 400 correspond to the same spatial region on the surface of the battery under test 200, making the first temperature and stress values ​​belong to the same physical field, which is beneficial for the subsequent construction of the physical field model. Optionally, both the first distributed optical fiber 301 and the second distributed optical fiber 302 are provided with optical fiber protective shells 304 along their paths between the winding starting point outside the battery under test 200 and the modem 400, for mechanical protection and environmental isolation of the distributed optical fiber 300, improving the stability and reliability of the transmission segment of the distributed optical fiber 300.

[0063] The battery under test 200 has multiple terminals 201 on the side near the charge / discharge tester 600 for electrical connection to external testing equipment (such as the charge / discharge tester 600). Multiple terminals at one end of the wire 500 are connected to the corresponding terminals 201 in the battery under test 200, and the other end of the wire 500 is connected to the charge / discharge tester 600, thus establishing an electrical connection between the charge / discharge tester 600 and the battery under test 200. This allows the charge / discharge tester 600 to monitor the electrical parameters of the battery under test 200 in real time during cyclic charge / discharge processes. These electrical parameters may include the charging capacity, discharging capacity, and internal resistance of the battery under test 200. For example, the charge / discharge tester 600 is electrically connected to the battery under test 200. The charge / discharge tester 600 can perform cycle charge / discharge on the battery under test 200 according to preset charge / discharge parameters. During the charging phase of the battery under test 200, the charge / discharge tester 600 records the charging voltage change and charging capacity. During the discharging phase of the battery under test 200, the charge / discharge tester 600 collects the discharge voltage, current and discharge capacity of the battery under test 200. Furthermore, the charge / discharge tester 600 can automatically calculate the internal resistance value of the battery under test 200 based on the voltage-current response.

[0064] Optionally, both the charge / discharge tester 600 and the modem 400 are communicatively connected to the processor 700 to transmit the first temperature value, stress value, and electrical parameters of the battery under test 200 during the cyclic charge / discharge process to the processor 700. In one feasible embodiment, the charge / discharge tester 600 and the modem 400 can also be communicatively connected to the processor 700 via a data acquisition unit 900. The data acquisition unit 900 is used to collect the first temperature value, stress value, and electrical parameters of the battery under test 200 during the cyclic charge / discharge process from the charge / discharge tester 600 and the modem 400, and transmit the above data to the processor 700.

[0065] The processor 700 is used to establish a first physical field model based on the acquired electrical parameters, a first temperature value, and a stress value. The processor then obtains the performance parameters of the battery under test 200 through this first physical field model. These performance parameters may include key parameters such as capacity retention, charge / discharge capacity, internal resistance, thermal stability, and stress distribution uniformity. In one feasible embodiment, the processor 700 establishes a first physical field model reflecting the electro-thermal-mechanical coupling characteristics of the battery under test 200 based on the electrical parameters, the first temperature value, and the stress value. This first physical field model may include a temperature field model and a stress field model, which respectively describe the spatial temperature and stress distribution on the surface of the battery under test 200. This enables intuitive observation and evaluation of the overall physical field of the battery under test 200 during cyclic charge / discharge, effectively assisting in identifying defects and anomalies inherent in the battery under test 200. Combined with the electrical parameters, it can reflect the electrochemical performance and operating status of the battery under test 200 in real time, thereby assessing the health status and remaining lifespan of the battery under test 200.

[0066] In this embodiment, the distributed optical fiber 300 is arranged in a wave-like pattern on the surface of the battery under test 200 during the testing process. This increases the contact area between the distributed optical fiber 300 and the surface of the battery under test 200, enhancing the distributed optical fiber 300's ability to sense multi-directional temperature and stress changes in the battery under test 200. Furthermore, the distributed optical fiber 300 is connected to a modulator / modulator, enabling the modulator / modulator to collect the first temperature and stress values ​​along the distributed optical fiber 300 during the cyclic charging and discharging process of the battery under test 200. This results in smoother and more continuous temperature or stress field data, improving the performance of the battery under test. The reliability of the battery 200 monitoring is improved; through the electrical connection between the charge / discharge tester 600 and the battery under test 200, the charge / discharge tester 600 can monitor the electrical parameters of the battery under test 200 in real time during the cyclic charge / discharge process; the processor 700 acquires the first temperature value and stress value from the distributed optical fiber 300 and the electrical parameters from the charge / discharge tester 600 to form a multi-source monitoring dataset integrating thermo-mechanical-electrical systems, and constructs a physical field model to realize intuitive observation and evaluation of the overall physical field of the battery during the cycling process of the solid-state battery, thereby realizing accurate evaluation of the performance of the solid-state battery.

[0067] In an exemplary embodiment, the processor 700 is configured to determine the measurement point information of the distributed optical fiber 300 based on the calibration temperature value collected by the modem 400 during the charging process of the battery under test 200, and send the measurement point information to the modem 400; the modem 400 is configured to collect the first temperature value and the stress value along the distributed optical fiber 300 based on the measurement point information during the charging and discharging process of the battery under test 200.

[0068] The measurement point information of the distributed optical fiber 300 includes the measurement start point and measurement end point of the distributed optical fiber 300.

[0069] For example, when the solid-state battery multi-dimensional performance testing equipment 10 is first started, the charge-discharge tester 600 is started to initially charge the battery 200 under test, and the modem 400 is started to collect the temperature values ​​along the distributed optical fiber 300 to obtain a calibration temperature value; the modem 400 transmits the calibration temperature value to the processor 700. The processor 700 identifies the spatial location of the start and end points of the temperature response along the distributed optical fiber 300 based on the calibration temperature value, determines the measurement start point and measurement end point of the distributed optical fiber 300, and thus determines the effective section of the distributed optical fiber 300 actually laid on the surface of the battery 200 under test and participating in monitoring. Furthermore, after each replacement of the battery 200 under test, the above calibration process of the measurement start point and measurement end point of the distributed optical fiber 300 needs to be repeated to adapt to changes in the size of different batteries 200 under test and the layout of the distributed optical fiber 300.

[0070] After determining the measurement start and end points of the distributed optical fiber 300, the processor 700 sends these points to the modem 400. Based on this information, the modem 400 performs real-time monitoring of a predetermined section of the distributed optical fiber 300 during the subsequent cyclic charging and discharging of the battery under test 200, acquiring the first temperature and stress values ​​along the distributed optical fiber 300. The predetermined section of the distributed optical fiber 300 refers to the segment between the measurement start and end points.

[0071] Optionally, the modem 400 integrates a laser emitter for injecting laser pulse signals into the distributed optical fiber 300. Based on the measurement start and end point information sent by the processor 700, the modem 400 defines the monitoring range and performs real-time monitoring of a predetermined section of the distributed optical fiber 300 during the subsequent charge-discharge cycles of the battery under test 200. Specifically, when the area where the distributed optical fiber 300 is located experiences temperature changes or mechanical stress due to battery charging and discharging, the local refractive index or strain state of the distributed optical fiber 300 changes accordingly, leading to changes in the reflection characteristics of the injected optical signal. The modem 400 receives the reflected echo from the distributed optical fiber 300, analyzes its wavelength or spectral characteristics, and, combined with the wavelength response law corresponding to temperature and stress in the sensing principle of the distributed optical fiber 300, determines the temperature and stress values ​​along the distributed optical fiber 300. Meanwhile, the modem 400 can determine the spatial location corresponding to the reflected signal of the distributed optical fiber 300 by analyzing the propagation time delay or frequency domain change of the optical signal, thereby realizing the spatial positioning of physical quantities and completing the accurate monitoring of the temperature and stress distribution of the distributed optical fiber 300 in the specified measurement section.

[0072] In this embodiment, the processor 700 determines the measurement point information of the distributed optical fiber 300 based on the calibration temperature value collected by the modem 400 during the charging process of the battery under test 200. Compared with the inaccurate data monitoring caused by the fixed interval acquisition method in the traditional method, this embodiment can accurately calibrate the actual response interval (i.e., the measurement start point and measurement end point) of the distributed optical fiber 300 on the surface of the battery under test 200. It can adapt to the different sizes of the batteries under test 200 and the different deployment positions of the distributed optical fiber 300, and has stronger adaptability and practicality. At the same time, by determining the measurement point information of the distributed optical fiber 300, the modem 400 only performs real-time monitoring on the predetermined section of the distributed optical fiber 300 that is actually related to the monitoring of the battery under test 200, avoiding the acquisition and processing of data from invalid distributed optical fiber 300 segments, and ensuring the reliability of the monitoring of the first temperature value and stress value.

[0073] In an exemplary embodiment, the processor 700 is configured to interpolate the first temperature value and the stress value to obtain the interpolated temperature value and the interpolated stress value, and to establish the first physical field model based on the electrical parameters, the interpolated stress value and the interpolated temperature value.

[0074] Distributed optical fiber 300 is arranged in a wavy path on the surface of the battery under test 200 to collect the first temperature and stress values ​​of the battery under test 200 in real time during cyclic charging and discharging. Since the distributed optical fiber 300 is deployed along a line, the obtained first temperature and stress values ​​are local data along the path of the distributed optical fiber 300 and cannot directly cover the entire surface of the battery under test 200. Therefore, the processor 700 uses an interpolation algorithm on the acquired first temperature and stress values ​​to obtain temperature and stress data for the surface locations of the battery under test 200 where the distributed optical fiber 300 is not deployed, resulting in interpolated temperature values. The interpolation algorithm can be linear interpolation, bicubic interpolation, spline interpolation, or Kriging interpolation, etc. In this embodiment, using an interpolation algorithm on the acquired first temperature value can obtain temperature data for the entire surface of the battery under test 200, thereby enhancing the comprehensiveness of the monitoring of the battery under test 200. Optionally, the processor 700 performs time synchronization and spatial mapping on the interpolated temperature values, interpolated stress values, and electrical parameters to ensure the spatiotemporal consistency of all physical quantities, and then constructs a first physical field model to reflect the electro-thermal-mechanical coupling behavior of the battery under test 200. This first physical field model can be used to demonstrate the distribution of multi-physics fields in the battery under test 200 during charging and discharging, and to support the acquisition of battery performance parameters.

[0075] Furthermore, based on the constructed first physical field model, the charge / discharge tester 600 is activated to perform cyclic charge / discharge tests on the battery under test 200. During the cyclic charge / discharge test, the processor 700 acquires the first temperature and stress values ​​along the distributed optical fiber 300 in real time at preset time intervals (e.g., 0.1 seconds), and updates the two-dimensional temperature model and two-dimensional stress model in the first physical field model in real time based on these first temperature and stress values ​​to accurately reflect the dynamic changes in the physical state of the battery under test 200 during the charge and discharge process. After the cyclic charge / discharge test is completed, the processor 700 calls up all the acquired data to comprehensively observe and analyze the first physical field model of the battery under test 200 during the cyclic charge / discharge test process.

[0076] In this embodiment, by interpolating the first temperature and stress values, the spatial monitoring blind spots caused by the limited deployment path of the distributed optical fiber 300 can be effectively compensated, achieving higher precision and continuous monitoring of the temperature and stress fields on the surface of the battery under test 200. Furthermore, the first physical field model established by the processor 700 based on the interpolated temperature and stress values ​​and the acquired electrical parameters can comprehensively reflect the electro-thermal-mechanical multi-physics coupling characteristics of the battery during operation, achieving accurate evaluation of the performance of the battery under test 200.

[0077] In some scenarios, the distributed optical fiber used to measure the surface temperature of the battery under test can be replaced with an infrared sensor. The infrared sensor measures the surface temperature of the battery under test during charging and discharging. However, due to factors such as the acquisition angle of the infrared sensor, it may not be able to completely capture the surface temperature value of the battery under test during charging and discharging. Therefore, to ensure the reliability of the performance testing of the battery under test, the solid-state battery multi-dimensional performance testing equipment can also include an infrared sensor. Based on the surface temperature of the battery under test measured by the infrared sensor and the distributed optical fiber, the performance of the battery under test can be accurately determined. In an exemplary embodiment, the solid-state battery multi-dimensional performance testing equipment 10 also includes an infrared sensor 800; the infrared sensor 800 is communicatively connected to the processor 700; the infrared sensor 800 is used to acquire a second temperature value of the surface of the battery under test 200 during charging and discharging; the processor 700 is used to establish a second physical field model based on electrical parameters, stress values, the first temperature value, and the second temperature value, and to obtain the battery's performance parameters through the second physical field model.

[0078] Among them, the infrared sensor 800 is an infrared camera.

[0079] Optionally, please refer to Figure 3 , Figure 3 This is a schematic diagram of the multi-dimensional performance testing device 10 for solid-state batteries, including an infrared sensor 800, in this embodiment. The infrared sensor 800 is positioned directly above the battery under test 200 and vertically arranged relative to the surface of the battery under test 200 to achieve full-coverage infrared thermal imaging monitoring of the external planar area of ​​the battery under test 200. During the cyclic charging and discharging process of the battery under test 200, the infrared sensor 800 periodically or in real-time collects a second temperature value on the surface of the battery under test 200 and transmits the collected second temperature value to the processor 700. The processor 700 receives and integrates the second temperature value and the first temperature value, and interpolates the stress value obtained by the distributed optical fiber 300 to obtain the interpolated stress value. Then, based on the electrical parameters, the interpolated stress value, the first temperature value, and the second temperature value, a second physical field model of the battery under test 200 is constructed. The established second physical field model can comprehensively reflect the electro-thermal-mechanical multi-physical field coupling characteristics of the battery during operation, realizing an accurate evaluation of the performance of the battery under test 200. Furthermore, the second physical field model can be updated in real time, and the battery under test 200 can be comprehensively observed and analyzed based on the updated second physical field model. The above process is basically the same as the real-time update and comprehensive observation process based on the first physical field model. For relevant specific implementation details, please refer to the above content, which will not be repeated here.

[0080] In this embodiment, a distributed optical fiber 300 sensor is used to monitor the stress field and first temperature value of the battery under test 200 during the charging and discharging process. An infrared camera is used to acquire a second temperature value of the battery under test 200. This second temperature value can spatially supplement the first temperature value, obtaining temperature data for the entire surface area of ​​the battery under test 200. Compared with the traditional method of using point sensors such as thermocouples and stress gauges to collect thermal and mechanical information, which is limited by the large physical size and spatial layout of such sensors, it is difficult to acquire multiple physical parameters simultaneously at the same location, which can easily cause parameter deviation or distortion at key monitoring points. This embodiment, by combining the distributed optical fiber 300 and the infrared sensor 800, can achieve the composite acquisition of multiple physical parameters such as temperature and stress within the same monitoring area, ensuring high-precision coupling of physical information such as temperature field and stress field in spatial and temporal dimensions, thereby significantly improving the comprehensiveness of monitoring, data accuracy, and modeling reliability of the battery under test 200 during the charging and discharging test. Furthermore, in this embodiment, when the battery under test 200 is a solid-state battery, the cover plate conventionally set on the outside of the solid-state battery is removed, and the temperature data of the battery under test 200 is acquired by infrared imaging. This allows for more direct, sensitive, and accurate capture of the temperature data of the solid-state battery during extreme testing, thereby effectively monitoring the stability of the solid-state battery under extreme conditions.

[0081] In the previous exemplary embodiment, the processor 700 is configured to obtain the union of the first temperature value and the second temperature value, and to establish a second physical field model based on the electrical parameters, stress value and temperature value in the union.

[0082] In this context, obtaining the union of the first temperature value and the second temperature value refers to fusing the first temperature value and the second temperature value to construct a temperature dataset covering the entire surface of the battery under test 200.

[0083] Optionally, the processor 700 acquires a first temperature value and a second temperature value respectively, and performs a fusion process on the first and second temperature values ​​to construct a complete temperature dataset covering the entire surface of the battery under test 200. The first temperature value is linear temperature information obtained along the path of the distributed optical fiber 300, corresponding only to a portion of the surface of the battery under test 200; while the second temperature value is obtained by the infrared sensor 800 through area scanning of the surface of the battery under test 200, covering a wider range and effectively supplementing the temperature information in areas not covered by the first temperature value. For example, the processor 700 first performs temporal alignment and spatial coordinate mapping on the first and second temperature values, unifying the first and second temperature values ​​to the same battery surface coordinate system; in the area covered by the distributed optical fiber 300, the high-precision first temperature value is preferentially retained, and in the area not covered by the distributed optical fiber 300, the second temperature value is introduced to supplement it, so as to obtain the union of the first and second temperature values. In one feasible implementation, in the overlapping region of the first temperature value acquired by the distributed optical fiber 300 and the second temperature value acquired by the infrared sensor 800, a weighted average or error minimization strategy is used for fusion to improve the accuracy and smoothness of the overall temperature field. Furthermore, based on the temperature dataset of the entire surface of the battery under test 200, the interpolated stress values, and electrical parameters acquired above, the processor 700 constructs a second physical field model of the battery under test 200. This second physical field model comprehensively reflects the electro-thermal-mechanical multi-physics coupling characteristics of the battery during operation, enabling accurate evaluation of the performance of the battery under test 200.

[0084] In this embodiment, obtaining the union of the first temperature value and the second temperature value can avoid monitoring blind spots caused by a single sensing technology, ensure coverage of all key areas on the surface of the battery under test 200, and improve the comprehensiveness and effectiveness of monitoring the battery under test 200.

[0085] In another exemplary embodiment, please refer to Figures 4 to 6 The carrier 100 includes a first cover plate 102, a second cover plate 103, and a support plate 101. The first cover plate 102 and the second cover plate 103 are detachably connected to the support plate 101. The support plate 101 is used to support the battery under test 200. The first cover plate 102 is disposed on the surface of the battery under test 200 near the distributed optical fiber 300. The surface of the first cover plate 102 is provided with test channels 1022 that are adapted to the distribution shape of the distributed optical fiber 300. The number of test channels 1022 is determined according to the number of fluctuation periods of the distributed optical fiber 300.

[0086] Both the first cover plate 102 and the second cover plate 103 are detachably connected to the carrier plate 101. The battery under test 200 is disposed on the carrier plate 101 and sandwiched between the first cover plate 102 and the second cover plate 103. Please refer to [link to relevant documentation]. Figure 4 ,Figure 4 This is a schematic diagram of the solid-state battery multi-dimensional performance testing device 10 including test channels 1022 in this embodiment. A first cover plate 102 is disposed on the side of the battery under test 200 where the distributed optical fiber 300 is deployed, and a second cover plate 103 is disposed on the side of the battery under test 200 where the distributed optical fiber 300 is not deployed. The clamping structure of the first cover plate 102 and the second cover plate 103 can ensure the battery under test 200 is fixed while, in conjunction with the deployed distributed optical fiber 300, enabling battery performance monitoring of the battery under test 200 in normal usage scenarios. For example, test channels 1022 are uniformly distributed on the first cover plate 102. The test channels 1022 are periodically distributed along the wavy path direction of the distributed optical fiber 300 and are correspondingly set to the wavy path of the distributed optical fiber 300. The number of test channels 1022 is determined according to the number of wavy periods of the distributed optical fiber 300. The deployment structure and method of the aforementioned distributed optical fiber 300 have been described in detail above, and the relevant specific implementation details have been fully disclosed in this application, so they will not be repeated here.

[0087] Please see Figure 5 , Figure 5 This is a schematic diagram of the layout structure of some test channels 1022. Optionally, two test channels 1022 are symmetrically arranged within one fluctuation cycle range of the distributed optical fiber 300. To ensure the cycle performance and operational stability of the solid-state battery under normal working conditions, a clamping structure (i.e., the first cover plate 102 and the second cover plate 103 in this embodiment) is usually required to provide the necessary clamping force for the solid-state battery. However, while this clamping structure presses the solid-state battery body, it also inhibits the free deformation of the distributed optical fiber 300 laid on the surface of the solid-state battery, which in turn makes it impossible to monitor some small expansion forces and stresses of the solid-state battery, affecting the comprehensive monitoring of the expansion force and stress changes of the solid-state battery. To address the aforementioned issues, this embodiment uniformly arranges multiple test channels 1022 on the first cover plate 102, thereby creating a structural space in a specific area of ​​the first cover plate 102 that can release or buffer micro-deformation. This reduces the suppressive effect of the clamping structure on the deformation of the distributed optical fiber 300, effectively releasing or amplifying the minute deformation of the area corresponding to the distributed optical fiber 300. This allows the minute expansion or stress changes generated by the solid-state battery to be fully transmitted to the distributed optical fiber 300, enabling the modem 400 to acquire complete deformation information of the distributed optical fiber 300 and achieve accurate detection of the solid-state battery.

[0088] In one feasible embodiment, the solid-state battery multi-dimensional performance testing equipment 10 further includes a hydraulic power unit 112, see [link to relevant documentation]. Figure 6 , Figure 6This is a schematic diagram showing the location of the hydraulic power unit 112, which is positioned above and connected to the first cover plate 102. The hydraulic power unit 112 is used to adjust the clamping force applied to the solid-state battery. By adjusting the clamping force output by the hydraulic power unit 112, the clamping force of the solid-state battery can be controllably adjusted to adapt to the stress requirements under different testing conditions.

[0089] For further information, please refer to the following: Figure 5 The solid-state battery multi-dimensional performance testing equipment 10 also includes multiple pressure sensors 111. These sensors 111 are evenly distributed on the side of the second cover plate 103 facing the solid-state battery and are communicatively connected to the processor 700. For example, the multiple pressure sensors 111 are respectively positioned at the four included corners of the second cover plate 103 and at the midpoint of its length direction, for comprehensively sensing the distribution of the clamping force applied to the surface of the solid-state battery. The multiple pressure sensors 111 are used to monitor in real time the clamping force applied to the solid-state battery by the hydraulic power device 112 during the cyclic charge-discharge test, and transmit the monitoring data to the processor 700 in real time. Based on the received clamping force information and combined with changes in the electrical parameters of the solid-state battery, the processor 700 analyzes the performance of the solid-state battery under different clamping force conditions, including charge-discharge capacity, internal resistance, and its decay characteristics with increasing cycle number. For example, by controlling the hydraulic power device 112 to apply different clamping forces such as 0MPa, 5MPa, 10MPa, 15MPa, 20MPa, 25MPa and 30MPa respectively, and cooperating with the pressure sensor 111 for feedback adjustment, the changes in charge and discharge capacity, internal resistance and cycle life decay curve of solid battery under each clamping force can be measured.

[0090] Based on the first temperature and stress values ​​obtained by the distributed optical fiber 300 and the electrical parameters obtained by the charge-discharge tester 600, a first physical field model is constructed to reflect the electro-thermal-mechanical coupling behavior of the battery under test 200. The above process is basically the same as the real-time update and comprehensive observation process based on the first physical field model. For relevant specific implementation details, please refer to the above content, which will not be repeated here.

[0091] In this embodiment, both the first cover plate 102 and the second cover plate 103 are detachably connected to the carrier plate 101. The battery under test 200 is disposed on the carrier plate 101 and sandwiched between the first cover plate 102 and the second cover plate 103. With the help of the distributed optical fiber 300, the battery performance of the battery under test 200 in normal use scenarios can be monitored. At the same time, test channels 1022 are uniformly distributed on the first cover plate 102. The test channels 1022 are periodically distributed along the wavy path of the distributed optical fiber 300, which can effectively release or amplify the small deformation of the area corresponding to the distributed optical fiber 300. This allows the slight expansion or stress change generated by the solid-state battery to be fully transmitted to the distributed optical fiber 300, and enables the modem 400 to obtain complete deformation information of the distributed optical fiber 300, thereby achieving accurate detection of the solid-state battery. Furthermore, by constructing a variable pressure clamping environment through the hydraulic power device 112, the first cover plate 102, and the second cover plate 103, the stress boundary conditions of solid-state batteries in applications can be simulated. Combined with the pressure sensor 111 arranged in the clamping structure, real-time monitoring and precise control of the external pressure on the battery can be achieved, thereby enabling the monitoring of battery performance parameters under different external clamping conditions, including key indicators such as charge and discharge capacity, internal resistance change, and performance degradation law.

[0092] In one feasible embodiment, the battery under test 200 can be a battery module, which is composed of multiple square batteries. These square batteries can be solid-state battery cells; in another feasible embodiment, they can also be ternary lithium battery cells. The solid-state battery cell can be configured as either the solid-state battery structure described above, including the clamping structure of the first cover plate 102 and the second cover plate 103, or a solid-state battery structure without the clamping structure of the first cover plate 102 and the second cover plate 103. Please refer to [link to relevant documentation]. Figure 7 and Figure 8 , Figure 7 This is a schematic diagram of the structure of the solid-state battery multi-dimensional performance testing device 10 in this embodiment. Figure 8This diagram illustrates the distributed optical fiber 300 layout structure for some solid-state battery cells in a battery module. The battery module consists of multiple solid-state battery cells, which are arranged sequentially along the length of the module. Each solid-state battery cell has a first distributed optical fiber 301 arranged in a wave-like pattern on the side closest to the modem 400, and a second distributed optical fiber 302 arranged in a wave-like pattern on the side furthest from the modem 400. Optionally, the first and second distributed optical fibers 301 and 302 can be deployed on the same side of each solid-state battery cell. Continuous distributed optical fibers 300 (including the first and second distributed optical fibers 301 and 302) are sequentially deployed on the side of each solid-state battery cell closest to the modem 400 according to a predetermined sequence. The distributed optical fiber 300 is first completely deployed along the entire side of the first solid-state battery cell, and then sequentially deployed along the entire side of the second, third, and subsequent battery cells, forming a complete distributed optical fiber 300 path deployed along the side of each solid-state battery cell. The end of the continuous distributed optical fiber 300 is electrically connected to the modem 400, enabling continuous monitoring of the first temperature and stress values ​​of all solid-state battery cells in the battery module. The deployment structure and method of the distributed optical fiber 300 have been described in detail above, and the relevant specific implementation details have been fully disclosed in this application, so they will not be repeated here.

[0093] Optionally, based on the aforementioned modem 400 and the continuously deployed distributed optical fibers 300, the first temperature and stress values ​​corresponding to each solid-state battery cell are collected in real time. The modem 400 transmits the first temperature and stress values ​​corresponding to each solid-state battery cell to the processor 700. The processor 700 combines the first temperature and stress values ​​corresponding to each solid-state battery cell with the specific size information of the battery module to establish a three-dimensional temperature field and a three-dimensional stress field for the battery module. During this process, for areas on the surface of each solid-state battery cell where the distributed optical fibers 300 are not deployed, interpolation is used to supplement and improve the first temperature and stress values, ensuring that the constructed three-dimensional temperature and stress fields have complete spatial coverage and high accuracy, thereby achieving accurate evaluation and monitoring of the overall thermal and mechanical performance of the battery module. Furthermore, after completing the three-dimensional temperature and stress fields, the battery under test 200 is completely discharged, and the charge / discharge tester 600 is started to perform a cyclic charge / discharge test on the battery under test 200. During the cyclic charge-discharge test, the processor 700 acquires the first temperature and stress values ​​along the distributed optical fiber 300 in real time at preset time intervals (e.g., 0.1 seconds), and updates the three-dimensional temperature field and three-dimensional stress field in real time based on these first temperature and stress values ​​to accurately reflect the dynamic changes in the physical state of the battery under test 200 during the charge-discharge process. After the cyclic charge-discharge test is completed, the processor 700 calls up all the acquired data to comprehensively observe and analyze the three-dimensional temperature field, three-dimensional stress field, and isoelectric parameters of the battery under test 200 during the cyclic charge-discharge test, thereby realizing a comprehensive evaluation of the battery module performance and a health status diagnosis.

[0094] In this embodiment, the overall temperature field and stress field of each solid-state battery cell are monitored and data is collected by first distributed optical fiber 301 and second distributed optical fiber 302 deployed on the side of each solid-state battery cell. Compared with the traditional technology that collects electrical and a small amount of temperature signals of the battery module by deploying point sensors, which cannot be specific to each cell and cannot monitor the overall physical field of the battery, thus only testing some state parameters of the battery under test 200 and not being able to conduct a comprehensive analysis of the battery under test 200, this application realizes the comprehensive monitoring of the temperature field and stress field distribution characteristics of the surface of each solid-state battery cell and between the cells during the operation of the battery under test 200. It can not only accurately focus the data monitoring granularity to the battery cell level, but also realize the monitoring of the physical field of the entire battery module. Furthermore, the electrical, mechanical, and thermal signals collected during the monitoring process of the battery under test 200 are integrated, and the battery under test 200 is subjected to cyclic charge-discharge tests using a charge-discharge tester 600. Based on the data collected during the charge-discharge process, the overall temperature field and stress field of the battery module are monitored and analyzed using 3D modeling. Compared with traditional battery performance monitoring equipment, this method can observe subtle changes and symmetry characteristics of the temperature field and stress field during the cyclic operation of the battery under test 200, thereby effectively achieving accurate visual monitoring of defects in the battery under test 200 itself, as well as accurate assessment of the aging and deterioration state of the battery under test 200.

[0095] Secondly, this application provides a multi-dimensional performance testing system for solid-state batteries. This system includes any of the multi-dimensional performance testing devices 10 provided in the first aspect; the system also includes a battery under test 200. The multi-dimensional performance testing device 10 is used to collect and analyze the performance parameters of the battery under test 200 in real time under different test conditions (including cycle charging and discharging, electrical performance, thermal response, stress changes, etc.); the battery under test 200 can be a solid-state battery or a battery module. Through the linkage between the multi-dimensional performance testing device 10 and the battery under test 200, this system can realize the performance evaluation of the battery under test 200 under multiple operating conditions and multiple physical field coupling conditions.

[0096] Thirdly, such as Figure 9 As shown, this application provides a method for multi-dimensional performance testing of solid-state batteries, used in a multi-dimensional performance testing device 10 for solid-state batteries in the first aspect; the method includes steps 902 to 908. Wherein:

[0097] Step 902: Obtain the electrical parameters of the battery under test 200 during the charging and discharging process using the charge and discharge tester 600.

[0098] The electrical parameters include the charging capacity, discharging capacity, and internal resistance of the battery under test 200.

[0099] For example, the charge / discharge tester 600 is electrically connected to the battery under test 200. The charge / discharge tester 600 can perform cycle charge / discharge on the battery under test 200 according to preset charge / discharge parameters. During the charging phase of the battery under test 200, the charge / discharge tester 600 records the charging voltage change and charging capacity. During the discharging phase of the battery under test 200, the charge / discharge tester 600 collects the discharge voltage, current and discharge capacity of the battery under test 200. Furthermore, the charge / discharge tester 600 can automatically calculate the internal resistance value of the battery under test 200 based on the voltage-current response.

[0100] Step 904: Obtain the first temperature and stress values ​​along the distributed optical fiber 300 during the charging and discharging process of the battery under test 200 using the modem 400.

[0101] The first temperature value refers to the temperature distribution data corresponding to the surface of the battery under test 200 along the fiber optic cable path obtained through the distributed optical fiber 300; the stress value refers to the strain information reflecting the change of the battery's stress state along the distributed optical fiber 300 path obtained through the distributed optical fiber 300.

[0102] Optionally, the modem 400 and the first distributed optical fiber 301 and the second distributed optical fiber 302 are used to obtain the temperature distribution information (i.e., the first temperature value) and stress change information (i.e., the stress value) of the battery under test 200 along the route of the distributed optical fiber 300 during the cyclic charging and discharging process.

[0103] Step 906: Establish the first physical field model based on the electrical parameters, the first temperature value, and the stress value.

[0104] The processor 700 establishes a first physical field model based on electrical parameters, a first temperature value, and a stress value, reflecting the electro-thermal-mechanical coupling characteristics of the battery under test 200. This first physical field model may include a temperature field model and a stress field model, which are used to describe the temperature distribution and stress distribution on the surface of the battery under test 200 in space, respectively, enabling intuitive observation and evaluation of the overall physical field of the battery under test 200 during the cyclic charging and discharging process.

[0105] Step 908: Obtain the performance parameters of the battery under test 200 through the first physical field model.

[0106] The performance parameters of the battery under test 200 can include key parameters such as capacity retention, charge / discharge capacity, internal resistance, thermal stability, and stress distribution uniformity. The temperature field model and stress field model in this first physical field model can be used to intuitively observe and evaluate the overall physical field of the battery under test 200 during cyclic charge / discharge, effectively assisting in identifying defects and anomalies inherent in the battery under test 200. Furthermore, combined with electrical parameters, the electrochemical performance and operating status of the battery under test 200 can be reflected in real time, thereby assessing the health status and remaining lifespan of the battery under test 200.

[0107] In this embodiment, by combining electrical parameters with the first temperature and stress values ​​acquired along the distributed optical fiber 300, information in three dimensions—thermal, mechanical, and electrical—can be simultaneously collected during the cyclic charging and discharging process of the battery under test 200, resulting in more comprehensive physical parameters. Furthermore, a first physical field model is established based on the electrical parameters, the first temperature value, and the stress value, enabling intuitive observation and evaluation of the overall physical field of the solid-state battery during cycling, thereby achieving an accurate assessment of the solid-state battery's performance.

[0108] In one exemplary embodiment, such as Figure 10 As shown, step 906 includes steps 1002 to 1004. Wherein:

[0109] Step 1002: Interpolate the first temperature value and stress value to obtain the interpolated temperature value and the interpolated stress value.

[0110] An interpolation algorithm is applied to the acquired first temperature and stress values ​​to obtain temperature and stress data at the surface location of the battery under test 200 without distributed optical fiber 300, resulting in an interpolated temperature value. The interpolation algorithm can be linear interpolation, bicubic interpolation, spline interpolation, or Kriging interpolation, etc. In this embodiment, applying an interpolation algorithm to the acquired first temperature value enables the acquisition of temperature data for the entire surface of the battery under test 200, thereby enhancing the comprehensiveness of the monitoring of the battery under test 200.

[0111] Step 1004: Establish the first physical field model based on the electrical parameters, the interpolated stress value, and the interpolated temperature value.

[0112] Optionally, the interpolated temperature values, interpolated stress values, and electrical parameters are synchronized in time and mapped in space to ensure the spatiotemporal consistency of all physical quantities. Then, a first physical field model is constructed to reflect the electro-thermal-mechanical coupling behavior of the battery under test 200. This first physical field model can be used to demonstrate the distribution of multiple physical fields in the battery under test 200 during charging and discharging, and to support the acquisition of battery performance parameters.

[0113] In this embodiment, by interpolating the first temperature and stress values, the spatial monitoring blind spots caused by the limited deployment path of the distributed optical fiber 300 can be effectively compensated, achieving higher precision and continuous monitoring of the temperature and stress fields on the surface of the battery under test 200. Furthermore, based on the interpolated temperature and stress values ​​and the acquired electrical parameters, the established first physical field model can comprehensively reflect the electro-thermal-mechanical multi-physics coupling characteristics of the battery during operation, enabling accurate evaluation of the performance of the battery under test 200.

[0114] In another exemplary embodiment, such as Figure 11 As shown, the method further includes steps 1102 to 1008. Wherein:

[0115] Step 1102: Obtain the second temperature value of the surface of the battery under test 200 during the charging and discharging process of the battery under test 200 through the infrared sensor 800.

[0116] Among them, the infrared sensor 800 is an infrared camera.

[0117] During the cyclic charging and discharging process of the battery under test 200, the infrared sensor 800 periodically or in real time collects the second temperature value of the surface of the battery under test 200.

[0118] Step 1104: Obtain the union of the first temperature value and the second temperature value.

[0119] Obtaining the union of the first temperature value and the second temperature value means fusing the first temperature value and the second temperature value to construct a temperature dataset covering the entire surface of the battery under test 200.

[0120] Optionally, the first and second temperature values ​​are time-series aligned and spatially mapped to unify them into the same battery surface coordinate system. In the area covered by the distributed optical fiber 300, the high-precision first temperature value is preferentially retained, while in areas not covered by the distributed optical fiber 300, the second temperature value is introduced to supplement it, thus obtaining the union of the first and second temperature values. In one feasible embodiment, in the overlapping area of ​​the first temperature value acquired by the distributed optical fiber 300 and the second temperature value acquired by the infrared sensor 800, a weighted average or error minimization strategy is used for fusion to improve the accuracy and smoothness of the overall temperature field.

[0121] Step 1106: Establish a second physical field model based on electrical parameters, stress values, and temperature values ​​at the junction.

[0122] Optionally, the stress values ​​obtained from the distributed optical fiber 300 are interpolated to obtain interpolated stress values. Based on the temperature dataset of the entire surface of the battery under test 200 (i.e., the union of the first and second temperature values), the interpolated stress values, and electrical parameters obtained above, a second physical field model of the battery under test 200 is constructed. The established second physical field model can comprehensively reflect the electro-thermal-mechanical multi-physics coupling characteristics of the battery during operation, thereby achieving an accurate evaluation of the performance of the battery under test 200.

[0123] Step 1108: Obtain the performance parameters of the battery under test 200 through the second physical field model.

[0124] The performance parameters of the battery under test 200 can include key parameters such as capacity retention, charge / discharge capacity, internal resistance, thermal stability, and stress distribution uniformity. The temperature field model and stress field model corresponding to this second physical field model enable intuitive observation and evaluation of the overall physical field of the battery under test 200 during cyclic charge / discharge, effectively assisting in identifying defects and anomalies inherent in the battery itself. Furthermore, combined with electrical parameters, the model reflects the electrochemical performance and operating status of the battery under test 200 in real time, thereby assessing its health status and remaining lifespan.

[0125] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0126] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0127] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0128] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0129] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0130] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0131] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A solid-state battery multi-dimensional performance testing device, characterized in that, The solid-state battery multidimensional performance test equipment comprises a carrier, a distributed optical fiber, a wire, a modem, a charge-discharge test machine and a processor; the processor is in communication connection with the modem and the charge-discharge test machine respectively, and the modem is further connected with the distributed optical fiber; the carrier is used for carrying a battery to be tested, and the distributed optical fiber is arranged in a wave shape on the surface of the battery to be tested during the test of the battery to be tested; the charge-discharge test machine is connected with the terminal post of the battery to be tested through the wire; The charge-discharge test machine is used for sending the electrical parameters of the battery to be tested in the charge-discharge process to the processor. The modem is used for collecting the first temperature value and stress value of the distributed optical fiber along the line in the charge-discharge process of the battery to be tested. The processor is used for establishing a first physical field model according to the electrical parameters, the first temperature value and the stress value, and obtaining the performance parameters of the battery to be tested through the first physical field model. The carrier comprises a first cover plate, a second cover plate and a carrying plate, and the first cover plate and the second cover plate are detachably connected with the carrying plate; the carrying plate is used for carrying the battery to be tested; the first cover plate is arranged on the surface of the battery to be tested close to the distributed optical fiber, and the surface of the first cover plate is provided with test channels matched with the distribution shape of the distributed optical fiber; the number of the test channels is determined according to the number of the wave period of the distributed optical fiber; the test channels are periodically distributed along the wave path direction of the distributed optical fiber, and can effectively release or amplify the small deformation amount of the area corresponding to the distributed optical fiber.

2. The solid-state battery multi-dimensional performance test device according to claim 1, wherein, The processor is used for determining the measurement point information of the distributed optical fiber according to the calibration temperature value of the battery to be tested collected by the modem, and sending the measurement point information to the modem. The modem is used for collecting the first temperature value and stress value of the distributed optical fiber along the line according to the measurement point information in the charge-discharge process of the battery to be tested.

3. The solid-state battery multi-dimensional performance test device according to claim 1 or 2, characterized in that, The processor is used for performing interpolation processing on the first temperature value and the stress value to obtain the interpolated temperature value and the interpolated stress value, and establishing the first physical field model according to the electrical parameters, the interpolated stress value and the interpolated temperature value.

4. The solid-state battery multi-dimensional performance test device of claim 1, wherein, The solid-state battery multidimensional performance test equipment further comprises an infrared sensor; the infrared sensor is in communication connection with the processor. The infrared sensor is used for collecting the second temperature value of the surface of the battery to be tested in the charge-discharge process of the battery to be tested. The processor is used for establishing a second physical field model according to the electrical parameters, the stress value, the first temperature value and the second temperature value, and obtaining the performance parameters of the battery through the second physical field model.

5. The solid-state battery multi-dimensional performance test device according to claim 4, characterized in that, The processor is used for obtaining the union set of the first temperature value and the second temperature value, and establishing the second physical field model according to the electrical parameters, the stress value and the temperature value in the union set.

6. A solid-state battery multi-dimensional performance testing system, characterized in that, The system comprises the solid-state battery multidimensional performance testing device according to any one of claims 1-5 and a battery to be tested.

7. A method for testing multi-dimensional performance of a solid-state battery, characterized in that, The method is applied to the solid-state battery multidimensional performance testing device according to any one of claims 1-5; the method comprises: obtaining, by a charge-discharge tester, electrical parameters of the battery to be tested during a charge-discharge process; obtaining, by a modulator-demodulator, first temperature values and stress values of a distributed optical fiber along a line during the charge-discharge process of the battery to be tested; establishing a first physical field model according to the electrical parameters, the first temperature values and the stress values; and obtaining performance parameters of the battery to be tested by the first physical field model.

8. The method of claim 7, wherein, The establishing of the first physical field model according to the electrical parameters, the first temperature values and the stress values comprises: interpolating the first temperature values and the stress values to obtain interpolated temperature values and interpolated stress values; establishing the first physical field model according to the electrical parameters, the interpolated stress values and the interpolated temperature values.

9. The method of claim 7, wherein, The method further comprises: obtaining, by an infrared sensor, second temperature values of a surface of the battery to be tested during the charge-discharge process of the battery to be tested; obtaining a union of the first temperature values and the second temperature values; establishing a second physical field model according to the electrical parameters, the stress values and the temperature values in the union; obtaining performance parameters of the battery to be tested by the second physical field model.

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