Elastic parameter identification method and device, equipment, storage medium and program product

Abstract

The invention relates to an elastic parameter identification method and device, equipment, a storage medium and a program product. The method is used in a control device of the elastic parameter identification system, the elastic parameter identification system comprises the control device, an acquisition device and excitation equipment, the control device is connected with the excitation equipment and the acquisition device, and the excitation equipment is used for exciting a target battery to vibrate under the control of the control device. Controlling excitation equipment to excite the target battery to vibrate; for each charge state, receiving a vibration signal sent by the acquisition device, and determining a modal parameter of the target battery according to the vibration signal; and for each state of charge, elastic parameters of the target battery in the state of charge are determined according to the modal parameters and the identification model, and the elastic parameters comprise Young modulus and Poisson's ratio. By adopting the method, the damage to the battery structure can be reduced when the elastic parameter is determined.

Description

Technical Field

[0001] The present application relates to the field of vibration technology, and in particular to an elastic parameter identification method, device, equipment, storage medium and program product. Background Art

[0002] The safety, reliability and service life of new batteries depend on further exploration and research of various battery properties. Among them, the mechanical performance test of the battery is a key indicator. Young's modulus and Poisson's ratio, as important parameters of the elastic properties of the material, play a very important role in understanding the mechanical behavior of the battery.

[0003] In the prior art, a compression test or a tensile test is usually used to identify the Young's modulus and Poisson's ratio of a battery. The compression test is to perform a compression test on a battery cell using a compression tester or other equipment, and collect the stress and strain data of the battery to calculate the Young's modulus and Poisson's ratio of the battery.

[0004] However, since the battery has a relatively complex and fragile internal structure, traditional compression or tensile tests are likely to cause structural damage to the battery, affecting battery performance and even causing dangers such as battery leakage and explosion. Summary of the invention

[0005] Based on this, it is necessary to provide an elastic parameter identification method, device, equipment, storage medium and program product that can avoid damage to the battery structure in order to solve the above technical problems.

[0006] In a first aspect, the present application provides an elastic parameter identification method, which is used in a control device of an elastic parameter identification system, wherein the elastic parameter identification system includes a control device, a collection device, and an excitation device, wherein the control device is connected to the excitation device and the collection device, and the excitation device is used to excite the vibration of a target battery under the control of the control device, and the method includes:

[0007] Under different charge states of the target battery, controlling the excitation device to excite the target battery to vibrate;

[0008] For each state of charge, receiving a vibration signal sent by a collection device, and determining a modal parameter of a target battery according to the vibration signal;

[0009] For each state of charge, the elastic parameters of the target battery in the state of charge are determined according to the modal parameters and the identification model, and the elastic parameters include Young's modulus and Poisson's ratio.

[0010] In one embodiment, the modal parameters include natural frequencies of various orders, and determining elastic parameters of the target battery in a state of charge according to the modal parameters and the identification model includes:

[0011] According to each order of natural frequency, a first parameter is determined, and the first parameter is at least one of the each order of natural frequency; the first parameter is input into an identification model, and the elastic parameter of the target battery in the state of charge is determined according to the output of the identification model.

[0012] In one embodiment, the identification model is determined according to an equation whose variables are Young's modulus and Poisson's ratio, the first parameter includes any two of the natural frequencies of each order, the first parameter is input into the identification model, and the elastic parameter of the target battery in the state of charge is determined according to the output of the identification model, including:

[0013] Obtain physical parameters of the target battery, the physical parameters include density, the length dimension of the target battery in the X direction and the length dimension of the target battery in the Y direction; determine a first equation according to the product of Young's modulus and a first parameter, the product of the square of Poisson's ratio and a second parameter, and a third parameter, the first parameter is determined according to the physical parameter, the second parameter and the third parameter are respectively determined according to the physical parameter and a first natural frequency, and the first natural frequency is any one of the first parameters; determine a second equation according to the product of Young's modulus and the first parameter, the product of the square of Poisson's ratio and a fourth parameter, and a fifth parameter, the fourth parameter and the fifth parameter are respectively determined according to the physical parameter and the second natural frequency, and the second natural frequency is another order natural frequency in the first parameter; determine Young's modulus and Poisson's ratio according to the first equation and the second equation.

[0014] In one embodiment, the excitation device is a force hammer, and controlling the excitation device to excite the target battery to vibrate under different charge states of the target battery includes:

[0015] The controlled force hammer strikes one or more locations of the target battery to stimulate vibration of the target battery.

[0016] In one embodiment, receiving a vibration signal sent by a collection device, and determining a modal parameter of a target battery according to the vibration signal includes:

[0017] The vibration signal is preprocessed; the preprocessed vibration signal is analyzed in the frequency domain, and the modal parameters of the target battery are determined according to the frequency spectrum of the vibration signal.

[0018] In one embodiment, the method further comprises:

[0019] An elastic parameter mapping table is determined according to each state of charge and elastic parameter, and the elastic parameter mapping table is used to store the corresponding relationship between different states of charge and elastic parameters.

[0020] In a second aspect, the present application further provides an elastic parameter identification device, which is arranged in a control device of an elastic parameter identification system. The elastic parameter identification system includes a control device, a collection device and an excitation device. The control device is connected to the excitation device and the collection device. The excitation device is used to excite the target battery vibration under the control of the control device. The device includes:

[0021] An excitation module, used for controlling an excitation device to excite the target battery to vibrate under different charge states of the target battery;

[0022] A receiving module, for receiving the vibration signal sent by the acquisition device for each state of charge, and determining the modal parameters of the target battery according to the vibration signal;

[0023] The identification module is used to determine the elastic parameters of the target battery in each state of charge according to the modal parameters and the identification model, and the elastic parameters include Young's modulus and Poisson's ratio.

[0024] In one embodiment, the modal parameters include natural frequencies of each order, and the identification module is specifically used to determine a first parameter based on the natural frequencies of each order, where the first parameter is at least one of the natural frequencies of each order; the first parameter is input into the identification model, and the elastic parameters of the target battery under the state of charge are determined based on the output of the identification model.

[0025] In one of the embodiments, the identification model is determined according to an equation whose variables are Young's modulus and Poisson's ratio, the first parameter includes any two of the natural frequencies of each order, and the identification module is specifically used to obtain the physical parameters of the target battery, the physical parameters include density, the length dimension of the target battery in the X direction and the length dimension of the Y direction; the first equation is determined according to the product of Young's modulus and the first parameter, the product of the square of Poisson's ratio and the second parameter, and the third parameter, the first parameter is determined according to the physical parameter, the second parameter and the third parameter are respectively determined according to the physical parameter and the first natural frequency, and the first natural frequency is any one of the first parameters; the second equation is determined according to the product of Young's modulus and the first parameter, the product of the square of Poisson's ratio and the fourth parameter, and the fifth parameter, the fourth parameter and the fifth parameter are respectively determined according to the physical parameter and the second natural frequency, and the second natural frequency is the other order natural frequency in the first parameter; according to the first equation and the second equation, the Young's modulus and Poisson's ratio are determined.

[0026] In one of the embodiments, the excitation device is a force hammer, and the excitation module is specifically used to control the force hammer to strike one or more locations of the target battery to stimulate the target battery to vibrate.

[0027] In one of the embodiments, the receiving module is specifically used to preprocess the vibration signal; perform frequency domain analysis on the preprocessed vibration signal, and determine the modal parameters of the target battery according to the frequency spectrum of the vibration signal.

[0028] In one embodiment, the identification module is further used to determine an elastic parameter mapping table according to each state of charge and elastic parameter, and the elastic parameter mapping table is used to store the corresponding relationship between different states of charge and elastic parameters.

[0029] In a third aspect, the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements any of the methods described in the first aspect when executing the computer program.

[0030] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any of the methods described in the first aspect above.

[0031] In a fifth aspect, the present application further provides a computer program product, including a computer program, which, when executed by a processor, implements any of the methods described in the first aspect above.

[0032] The elastic parameter identification method, device, equipment, storage medium and program product control the excitation device to excite the vibration of the target battery under different charge states of the target battery; then, for each charge state, receive the vibration signal sent by the acquisition device, and determine the modal parameters of the target battery according to the vibration signal; finally, for each charge state, determine the elastic parameters of the target battery under the charge state according to the modal parameters and the identification model, and the elastic parameters include Young's modulus and Poisson's ratio. In this way, by controlling the excitation of the target battery vibration, the modal parameters of the target battery under different charge states can be obtained, and the Young's modulus and Poisson's ratio can be determined according to the modal parameters and the identification model. Different from the compression test or tensile test method used in the prior art, the method in the present application can reduce the damage to the battery structure when determining the elastic parameters. After determining the elastic parameters of different charge states, in subsequent applications, only the charge state of the battery needs to be determined to obtain the corresponding elastic parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0034] FIG1 is a diagram of an application environment of an elastic parameter identification method according to an embodiment;

[0035] FIG2 is a schematic flow chart of an elastic parameter identification method in one embodiment;

[0036] FIG3 is a schematic diagram of a flow chart of a step of determining elastic parameters in one embodiment;

[0037] FIG4 is a schematic flow chart of a step of determining elastic parameters according to the output of an identification model in one embodiment;

[0038] FIG5 is a schematic diagram of a flow chart of a step of determining a modal parameter of a target battery in one embodiment;

[0039] FIG6 is a schematic flow chart of an elastic parameter identification method in another embodiment;

[0040] FIG7 is a structural block diagram of an elastic parameter identification device in one embodiment;

[0041] FIG. 8 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0043] With the rapid development of science and technology, batteries as energy storage devices have penetrated into many industries and have been widely used in electric vehicles, aircraft, portable electronic devices and other fields. At the same time, this also puts higher requirements on the specific energy of batteries. In order to meet the needs of the industry, new batteries such as lithium metal batteries are continuously invested in research and development. In this process, the safety, reliability and service life of new batteries depend on further exploration and research on various battery properties. Among them, the mechanical performance test of the battery is a key indicator, and Young's modulus and Poisson's ratio, as important parameters of the elastic properties of the material, play a very important role in understanding the mechanical behavior of the battery.

[0044] In order to identify the Young's modulus and Poisson's ratio of the battery, the traditional method usually uses compression test or tensile test. Among them, the compression test is to use compression testing machine and other equipment to compress the battery cells, and collect the stress and strain data of the battery to calculate the Young's modulus and Poisson's ratio of the battery. The tensile test is similar to it. The tensile test is carried out on the battery cells using a tensile testing machine. The stress and strain parameters in the stretching process are also required as the basis for calculating the Young's modulus and Poisson's ratio of the battery.

[0045] However, the above-mentioned Young's modulus and Poisson's ratio identification schemes have great limitations in their application at the battery cell level. Batteries have a relatively complex and fragile internal structure, and traditional compression or tensile tests are likely to cause structural damage to the battery, affecting the battery's performance, and even causing dangers such as battery leakage and explosion. In particular, the lithium metal batteries that this patent focuses on are even more dangerous. Once the lithium metal negative electrode is exposed to the air, it is very likely to explode, which makes traditional compression and tensile tests unusable for the identification of the Young's modulus and Poisson's ratio of lithium metal batteries.

[0046] In view of this, the embodiment of the present application provides an elastic parameter identification method that can avoid damage to the battery structure. The elastic parameter identification method provided by the embodiment of the present application can be applied to the application environment shown in Figure 1. Among them, the elastic parameter identification system 10 may include a control device 11, a collection device 12 and an excitation device 13. The control device 11 is connected to the excitation device 13 and the collection device 12. The excitation device 13 is used to excite the vibration of the target battery under the control of the control device 11. The collection device 12 is connected to the target battery to collect the vibration signal of the target battery and send the collected vibration signal to the control device 11. The control device 11 is used to control the excitation device 13 to excite the vibration of the target battery under different charge states of the target battery. For each charge state, the vibration signal sent by the collection device 12 is received, and the modal parameters of the target battery are determined according to the vibration signal. For each charge state, the elastic parameters of the target battery under the charge state are determined according to the modal parameters and the identification model. The elastic parameters include Young's modulus and Poisson's ratio. The control device 11 may be a computer device, such as an industrial computer, a computer, etc. The type of the control device 11 is not limited in the embodiment of the present application.

[0047] In an exemplary embodiment, as shown in FIG2 , a method for identifying elastic parameters is provided, which is described by taking the method applied to the control device 11 in FIG1 as an example, and includes the following steps 201 to 203. Among them:

[0048] S201, controlling an excitation device to excite the target battery to vibrate under different charge states of the target battery.

[0049] Optionally, the target battery may be a lithium metal battery or a lead-acid battery, etc. The target battery may be multiple batteries of the same model that are all unused, or it may be a single battery. The number of target batteries is not limited in the embodiments of the present application.

[0050] Optionally, the state of charge may be the ratio of the charge currently stored in the target battery to the charge that can be stored in the target battery when fully charged, which reflects the storage level of electrochemical energy inside the battery and is a key indicator for measuring the remaining power of the battery.

[0051] Optionally, before controlling the excitation device to excite the target battery to vibrate, the current state of charge of the target battery may be acquired, and then the target battery may be excited to vibrate under different states of charge.

[0052] Optionally, the state of charge of the target battery may be determined by a current integration method or an open circuit voltage method, and the embodiment of the present application does not limit the method for determining the state of charge of the target battery.

[0053] Optionally, the excitation device may be an exciter, such as an electromagnetic exciter or a force hammer, wherein the electromagnetic exciter can generate a controllable and stable excitation force, and the force hammer can flexibly strike the target battery.

[0054] S202, for each state of charge, receiving a vibration signal sent by a collection device, and determining a modal parameter of a target battery according to the vibration signal.

[0055] Optionally, the acquisition device can be an acceleration sensor and a data acquisition system, the vibration signal can be vibration acceleration, the acceleration sensor can be set on the surface of the target battery to measure the vibration acceleration of the target battery, and the data acquisition system is connected to the acceleration sensor to record the vibration signal obtained by the acceleration sensor.

[0056] Optionally, an accelerometer with appropriate sensitivity and range can be selected based on the size of the battery, the expected vibration frequency range, etc. For example, for small batteries and high-frequency vibration testing, a high-sensitivity, small-range sensor is required; for large batteries and situations where larger vibration amplitudes may occur, a larger-range sensor is required.

[0057] Optionally, for each state of charge, a vibration signal of the target battery in the state of charge is acquired, and then the modal parameters of the target battery corresponding to the state of charge are determined.

[0058] Optionally, if the target battery is a plurality of batteries of the same model, the vibration signals of each battery can be obtained separately, the modal parameters can be determined separately and each modal parameter can be processed, and the processed results can be used as the modal parameters of the target battery. The processing process can include verifying each modal parameter, taking the average or median of the data that meets the requirements, etc.

[0059] Optionally, the target battery may be stimulated multiple times, or stimulated at multiple locations of the target battery to obtain multiple vibration signals, and then the modal parameters corresponding to each vibration signal are determined, and the multiple modal parameters are processed, so that the processed results are used as the modal parameters of the target battery.

[0060] Optionally, the modal parameters of the target battery may include one or more of natural frequency, damping ratio and modal vibration shape.

[0061] In one possible implementation, the modal parameters of the target battery can be determined by performing time domain analysis on the vibration signal. For example, the vibration amplitude, period, etc. of the vibration signal can be obtained to determine the vibration intensity and frequency of the target battery under excitation. Alternatively, when the target battery is stimulated by pulse excitation, the modal damping and other information of the target battery can be obtained by analyzing the vibration signal.

[0062] In another possible implementation, the modal parameters of the target battery can be determined by performing a frequency domain analysis on the vibration signal. For example, the vibration signal can be subjected to a Fourier transform to obtain the spectrum of the vibration signal, and the natural frequencies of each order of the target battery can be determined based on the spectrum graph. Alternatively, the modal parameters of the battery can be determined by peak picking method or least squares method after frequency domain transformation.

[0063] S203 , for each state of charge, determining elastic parameters of the target battery in the state of charge according to the modal parameters and the identification model, the elastic parameters including Young's modulus and Poisson's ratio.

[0064] Optionally, the input of the identification model may be modal parameters, and the output may be elastic parameters. For each state of charge of the target battery, the modal parameters corresponding to the state of charge may be input into the identification model, and the elastic parameters of the target battery at the state of charge may be determined.

[0065] Optionally, the recognition model may be a pre-trained neural network model or a mathematical model, which is not limited in the embodiments of the present application.

[0066] Optionally, Young's modulus can be a physical quantity that describes the material's ability to resist deformation, which is defined as the ratio of the material's stress (the force exerted on a single area) to the strain (the degree of deformation of the material) within the elastic limit; Poisson's ratio can be a physical quantity that describes the proportional relationship between the material's lateral contraction and axial stretching, and can be defined as the ratio of the absolute value of the lateral strain to the axial strain when the material is subjected to unidirectional tension or compression.

[0067] The above elastic parameter identification method controls the excitation device to excite the vibration of the target battery under different charge states of the target battery; then, for each charge state, receives the vibration signal sent by the acquisition device, and determines the modal parameters of the target battery according to the vibration signal; finally, for each charge state, the elastic parameters of the target battery under the charge state are determined according to the modal parameters and the identification model, and the elastic parameters include Young's modulus and Poisson's ratio. In this way, by controlling the excitation of the target battery vibration, the modal parameters of the target battery under different charge states can be obtained, and the Young's modulus and Poisson's ratio can be determined according to the modal parameters and the identification model. Different from the compression test or tensile test method used in the prior art, the method in the present application can reduce the damage to the battery structure when determining the elastic parameters. After determining the elastic parameters of different charge states, in subsequent applications, it is only necessary to determine the charge state of the target battery to obtain the corresponding elastic parameters.

[0068] In an exemplary embodiment, optionally, as shown in FIG3 , the modal parameters include natural frequencies of various orders, and the elastic parameters of the target battery under the state of charge are determined according to the modal parameters and the identification model, including the following steps 301 to 302. Among them:

[0069] S301, determining a first parameter according to each order of natural frequencies.

[0070] The first parameter is at least one of the natural frequencies of each order.

[0071] Optionally, each order natural frequency may be the frequency of the target battery vibrating freely without external damping, and there may be multiple natural frequencies, for example, a first order natural frequency, a second order natural frequency, a third order natural frequency, etc.

[0072] Optionally, at least one is selected from each order of natural frequency as the first parameter.

[0073] S302, inputting the first parameter into the identification model, and determining the elastic parameter of the target battery in the state of charge according to the output of the identification model.

[0074] In one possible implementation, the first parameter may be any natural frequency, and the identification model may include an equation with Young's modulus as a variable and an equation with Poisson's ratio as a variable, and the physical parameters of the target battery, such as mass, density, length dimension of the target battery in the X direction and length dimension of the Y direction, etc., can be obtained, and then the physical parameters are substituted into the equation with Young's modulus as a variable to determine the Young's modulus. After determining the Young's modulus, the physical parameters and Young's modulus are substituted into the equation with Poisson's ratio as a variable to determine the Poisson's ratio. In the embodiments of the present application, the specific forms of the equation with Young's modulus as a variable and the equation with Poisson's ratio as a variable are not limited.

[0075] In another possible implementation, as shown in FIG. 4 , the identification model is determined according to an equation whose variables are Young's modulus and Poisson's ratio, the first parameter includes any two of the natural frequencies of each order, the first parameter is input into the identification model, and the elastic parameters of the target battery under the state of charge are determined according to the output of the identification model, including the following steps 401 to 404. Among them:

[0076] S401, obtaining physical parameters of a target battery.

[0077] The physical parameters include density, the length dimension of the target battery in the X direction and the length dimension in the Y direction, etc.

[0078] Alternatively, the equation for the variables Young's modulus and Poisson's ratio can be expressed as follows:

[0079]

[0080] in, is Young's modulus, is the Poisson's ratio, is the natural frequency corresponding to different orders of the target battery. The vibration mode of the target battery is determined by i and j. That is, a combination of i and j corresponds to a vibration mode order. For example, the first-order natural frequency can be expressed by f 10 express, is the density, and is the length of the battery in the X and Y directions, and is the radius of gyration of the thin rod with rectangular cross section, and is the root of the following equation:

[0081] tan ω L / 2 V x = ± land { ω L / 2 V x ]

[0082] tan ω L / 2 V y = ± land { ω L / 2 V y ]

[0083]

[0084]

[0085] in, , is the equivalent speed of sound of the thin rod bending vibration, is the angular frequency of the bending vibration of the thin rod.

[0086] It should be noted that the identification model can also be determined by other deformations or equivalent equations of the above equations. In the above equations, physical quantities such as the equivalent sound velocity and angular frequency of the thin rod bending vibration are also predetermined. In the identification model, after the first parameter is input into the above equation, two equations can be obtained to determine the elastic parameters.

[0087] S402, determining a first equation according to the product of Young's modulus and the first parameter, the product of the square of Poisson's ratio and the second parameter, and the third parameter.

[0088] The first parameter is determined according to the physical parameter, the second parameter and the third parameter are determined according to the physical parameter and the first natural frequency respectively, and the first natural frequency is any one of the first parameters.

[0089] Optionally, the first parameter can be passed The second parameter can be calculated by The third parameter can be calculated by When calculating the second and third parameters, the first natural frequency can be substituted into .

[0090] Optionally, the first equation can be expressed in the following simplified form:

[0091]

[0092] S403, determining a second equation according to the product of Young's modulus and the first parameter, the product of the square of Poisson's ratio and the fourth parameter, and the fifth parameter.

[0093] The fourth parameter and the fifth parameter are determined according to the physical parameter and the second natural frequency respectively, and the second natural frequency is the other order natural frequency in the first parameter.

[0094] Optionally, the fourth parameter can be passed The fifth parameter can be calculated by When calculating the fourth and fifth parameters, the second natural frequency can be substituted into .

[0095] Alternatively, the second equation can be expressed in the following simplified form:

[0096]

[0097] S404, determining Young's modulus and Poisson's ratio according to the first equation and the second equation.

[0098] Optionally, a binary equation group may be formed according to the first equation and the second equation, and the Young's modulus and the Poisson's ratio may be determined by solving the binary equation group.

[0099] Optionally, for each state of charge, a second parameter can be determined based on each order of natural frequencies, and then the elastic parameter of the target battery at the state of charge is determined based on the second parameter and the method of steps 401 to 404, wherein the second parameter is different from the natural frequency in the first parameter, for example, the first parameter may include a first-order natural frequency and a second-order natural frequency, and the second parameter may include a second-order natural frequency and a third-order natural frequency.

[0100] It can be understood that under a charge state, the elastic parameters of the target battery determined by the first parameter and the second parameter should be the same. Therefore, the elastic parameters can be calculated using the first parameter and the second parameter respectively to verify the accuracy of the elastic parameter identification method provided in the embodiment of the present application, thereby improving the accuracy of the elastic parameter identification method.

[0101] By determining the first parameter according to each order of natural frequencies, inputting the first parameter into the identification model, and determining the elastic parameters of the target battery in the charged state according to the output of the identification model, the elastic parameters of the target battery in the charged state can be accurately determined through the identification model and the obtained each order of natural frequencies.

[0102] In an exemplary embodiment, optionally, the excitation device is a force hammer, and controlling the excitation device to excite the target battery to vibrate under different charge states of the target battery includes:

[0103] The controlled force hammer strikes one or more locations of the target battery to stimulate vibration of the target battery.

[0104] Optionally, the hammer may be connected to the controller via a mechanical device, and the mechanical device may be a structure such as a mechanical arm or a positioning fixture.

[0105] Optionally, the controller can control the striking force of the hammer according to a preset force value, so that the striking force is controllable. Under the control of the controller, the mechanical device drives the hammer to strike the target device, which can cause the target battery to vibrate.

[0106] Optionally, various vibration modes of the target battery can be stimulated by tapping at multiple locations of the target battery, so that the collected vibration signals are richer.

[0107] In an exemplary embodiment, optionally, as shown in FIG5 , receiving a vibration signal sent by a collection device and determining the modal parameters of a target battery according to the vibration signal includes the following steps 501 to 502. Among them:

[0108] S501, pre-processing the vibration signal.

[0109] Optionally, preprocessing the vibration signal may include noise reduction processing or data normalization processing, etc., which can improve the accuracy of subsequent analysis. For example, the noise in the vibration signal can be removed by wavelet noise reduction or adaptive noise reduction.

[0110] S502, performing frequency domain analysis on the preprocessed vibration signal, and determining the modal parameters of the target battery according to the frequency spectrum of the vibration signal.

[0111] Optionally, the vibration signal is processed by fast Fourier transform to convert the vibration signal into a frequency domain signal. In the spectrum diagram of the target battery, the frequency corresponding to the peak is the natural frequency of the battery. Therefore, the natural frequencies of each order of the target battery can be determined by the spectrum of the vibration signal.

[0112] In an exemplary embodiment, optionally, the elastic parameter identification method further includes:

[0113] An elastic parameter mapping table is determined according to each state of charge and elastic parameter, and the elastic parameter mapping table is used to store the corresponding relationship between different states of charge and elastic parameters.

[0114] Optionally, after determining the elastic parameters of the target battery under different states of charge, an elastic parameter mapping table can be obtained. In this way, in subsequent applications, after determining the state of charge of the target battery, the Young's modulus and Poisson's ratio of the target battery can be quickly determined by querying the elastic parameter mapping table.

[0115] As an optional implementation, as shown in FIG6 , the elastic parameter identification method provided in the embodiment of the present application may include the following specific steps:

[0116] S601, under different charge states of the target battery, controlling the force hammer to strike one or more locations of the target battery to stimulate vibration of the target battery.

[0117] S602: For each state of charge, receive a vibration signal sent by a collection device and pre-process the vibration signal.

[0118] S603 , for each state of charge, performing frequency domain analysis on the preprocessed vibration signal, and determining the modal parameters of the target battery according to the frequency spectrum of the vibration signal.

[0119] Among them, the modal parameters include the natural frequencies of each order.

[0120] S604: For each state of charge, determine a first parameter according to each order of natural frequency.

[0121] Among them, the first parameter includes any two of the natural frequencies of each order,

[0122] S605, obtaining physical parameters of the target battery.

[0123] The physical parameters include density, the length dimension of the target battery in the X direction, and the length dimension in the Y direction.

[0124] S606, determining a first equation at each charge state according to the product of Young's modulus and the first parameter, the product of the square of Poisson's ratio and the second parameter, and the third parameter.

[0125] The first parameter is determined according to the physical parameter, the second parameter and the third parameter are determined according to the physical parameter and the first natural frequency respectively, and the first natural frequency is any one of the first parameters.

[0126] S607, determining a second equation at each charge state according to the product of the Young's modulus and the first parameter, the product of the square of the Poisson's ratio and the fourth parameter, and the fifth parameter.

[0127] The fourth parameter and the fifth parameter are determined according to the physical parameter and the second natural frequency respectively, and the second natural frequency is the other order natural frequency in the first parameter.

[0128] S608: For each state of charge, determine an elastic parameter according to the first equation and the second equation.

[0129] Among them, the elastic parameters include Young's modulus and Poisson's ratio.

[0130] S609: Determine an elastic parameter mapping table according to each state of charge and elastic parameter.

[0131] The elastic parameter mapping table is used to store the corresponding relationship between different charge states and elastic parameters.

[0132] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0133] Based on the same inventive concept, the embodiment of the present application also provides an elastic parameter identification device for implementing the elastic parameter identification method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more elastic parameter identification device embodiments provided below can refer to the limitations of the elastic parameter identification method above, and will not be repeated here.

[0134] In an exemplary embodiment, as shown in FIG7 , an elastic parameter identification device is provided, including: an excitation module 701 , a receiving module 702 and an identification module 703 , wherein:

[0135] The excitation module 701 is used to control the excitation device to excite the target battery to vibrate under different charge states of the target battery.

[0136] The receiving module 702 is used to receive the vibration signal sent by the acquisition device for each state of charge, and determine the modal parameters of the target battery according to the vibration signal.

[0137] The identification module 703 is used to determine the elastic parameters of the target battery in each state of charge according to the modal parameters and the identification model, and the elastic parameters include Young's modulus and Poisson's ratio.

[0138] In an exemplary embodiment, the modal parameters include natural frequencies of each order, and the identification module 703 is specifically used to determine a first parameter based on the natural frequencies of each order, where the first parameter is at least one of the natural frequencies of each order; the first parameter is input into the identification model, and the elastic parameters of the target battery under the state of charge are determined based on the output of the identification model.

[0139] In an exemplary embodiment, the identification model is determined according to an equation whose variables are Young's modulus and Poisson's ratio, and the first parameter includes any two of the natural frequencies of each order. The identification module 703 is specifically used to obtain the physical parameters of the target battery, and the physical parameters include density, the length dimension of the target battery in the X direction and the length dimension of the Y direction; the first equation is determined according to the product of Young's modulus and the first parameter, the product of the square of Poisson's ratio and the second parameter, and the third parameter, the first parameter is determined according to the physical parameter, the second parameter and the third parameter are respectively determined according to the physical parameter and the first natural frequency, and the first natural frequency is any one of the first parameters; the second equation is determined according to the product of Young's modulus and the first parameter, the product of the square of Poisson's ratio and the fourth parameter, and the fifth parameter, the fourth parameter and the fifth parameter are respectively determined according to the physical parameter and the second natural frequency, and the second natural frequency is the other order natural frequency in the first parameter; according to the first equation and the second equation, the Young's modulus and Poisson's ratio are determined.

[0140] In an exemplary embodiment, the excitation device is a force hammer, and the excitation module 701 is specifically used to control the force hammer to strike one or more locations of the target battery to stimulate the target battery to vibrate.

[0141] In an exemplary embodiment, the receiving module 702 is specifically configured to preprocess the vibration signal; perform frequency domain analysis on the preprocessed vibration signal, and determine the modal parameters of the target battery according to the frequency spectrum of the vibration signal.

[0142] In an exemplary embodiment, the identification module 703 is further used to determine an elastic parameter mapping table according to each state of charge and elastic parameter, and the elastic parameter mapping table is used to store the corresponding relationship between different states of charge and elastic parameters.

[0143] Each module in the elastic parameter identification device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0144] In an exemplary embodiment, a computer device is provided, which may be a computer, and its internal structure diagram may be shown in FIG8. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected via a system bus, and the communication interface, the display unit, and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, a near field communication (NFC) or other technologies. When the computer program is executed by the processor, a method for identifying elastic parameters is implemented.

[0145] Those skilled in the art will understand that the structure shown in FIG. 8 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0146] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps described in any of the above method embodiments when executing the computer program.

[0147] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps described in any of the above method embodiments are implemented.

[0148] In an exemplary embodiment, a computer program product is provided, including a computer program, which implements the steps described in any of the above method embodiments when executed by a processor.

[0149] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory 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. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0150] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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 application.

[0151] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for identifying elastic parameters, characterized in that: In a control device for an elastic parameter identification system, the elastic parameter identification system includes a control device, a collection device and an excitation device, the control device is connected to both the excitation device and the collection device, the excitation device is used to excite the target battery vibration under the control of the control device, and the method includes: Under different states of charge of the target battery, controlling the excitation device to excite the target battery to vibrate; For each of the charge states, receiving a vibration signal sent by the acquisition device, and determining a modal parameter of the target battery according to the vibration signal; For each state of charge, elastic parameters of the target battery at the state of charge are determined according to the modal parameters and the identification model, and the elastic parameters include Young's modulus and Poisson's ratio.

2. The method according to claim 1, characterized in that The modal parameters include natural frequencies of various orders, and determining the elastic parameters of the target battery at the state of charge according to the modal parameters and the identification model includes: Determine a first parameter according to the natural frequencies of each order, wherein the first parameter is at least one of the natural frequencies of each order; The first parameter is input into an identification model, and the elastic parameter of the target battery at the state of charge is determined according to an output of the identification model.

3. The method according to claim 2, characterized in that The identification model is determined according to an equation whose variables are the Young's modulus and the Poisson's ratio, the first parameter includes any two of the natural frequencies of each order, and the first parameter is input into the identification model, and the elastic parameter of the target battery at the state of charge is determined according to the output of the identification model, including: Acquire physical parameters of the target battery, wherein the physical parameters include density, a length dimension of the target battery in an X direction, and a length dimension of the target battery in a Y direction; Determine a first equation according to the product of the Young's modulus and a first parameter, the product of the square of the Poisson's ratio and a second parameter, and a third parameter, wherein the first parameter is determined according to the physical parameter, and the second parameter and the third parameter are determined according to the physical parameter and a first natural frequency, respectively, and the first natural frequency is any one of the first parameters; Determine a second equation according to the product of the Young's modulus and a first parameter, the product of the square of the Poisson's ratio and a fourth parameter, and a fifth parameter, wherein the fourth parameter and the fifth parameter are respectively determined according to the physical parameter and a second natural frequency, and the second natural frequency is another order natural frequency in the first parameter; The Young's modulus and the Poisson's ratio are determined based on the first equation and the second equation.

4. The method according to claim 1, characterized in that: The excitation device is a hammer, and controlling the excitation device to excite the target battery to vibrate under different charge states of the target battery includes: The force hammer is controlled to strike one or more locations of the target battery to stimulate vibration of the target battery.

5. The method according to claim 2, characterized in that: Receiving the vibration signal sent by the acquisition device, and determining the modal parameters of the target battery according to the vibration signal, including: Preprocessing the vibration signal; Perform frequency domain analysis on the preprocessed vibration signal, and determine the modal parameters of the target battery according to the frequency spectrum of the vibration signal.

6. The method according to claim 1, characterized in that The method further comprises: An elastic parameter mapping table is determined according to each of the charge states and the elastic parameters, and the elastic parameter mapping table is used to store corresponding relationships between different charge states and elastic parameters.

7. An elastic parameter identification device, characterized in that: The elastic parameter identification system is provided in a control device, the elastic parameter identification system includes a control device, a collection device and an excitation device, the control device is connected to both the excitation device and the collection device, the excitation device is used to excite the target battery vibration under the control of the control device, and the device includes: An excitation module, used for controlling the excitation device to excite the target battery to vibrate under different charge states of the target battery; A receiving module, configured to receive the vibration signal sent by the acquisition device for each state of charge, and determine the modal parameters of the target battery according to the vibration signal; An identification module is used to determine, for each state of charge, elastic parameters of the target battery under the state of charge according to the modal parameters and an identification model, wherein the elastic parameters include Young's modulus and Poisson's ratio.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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