Battery deterioration inspection device and its operating method

Abstract

A battery deterioration inspection device according to one embodiment disclosed in this document includes a data acquisition unit that acquires first data relating to a first OCV (open circuit voltage) and a first SOH (state of health) of the battery at a first time point, and second data relating to a second OCV and a second SOH of the battery at a second time point following the first time point; a capacity identification unit that identifies the theoretical capacity of a full cell at a reference time point in reference data relating to the battery; and a calculation unit that calculates an OCV change between the first OCV and the second OCV, and an SOH change between the first SOH and the second SOH, and calculates an ASR (anode side reaction) and a CSR (cathode side reaction) at the second time point based on the theoretical capacity, the OCV change, and the SOH change.

Description

[Technical Field]

[0001] The present invention claims the benefit of priority based on Korean Patent Application No. 10-2022-0152985 filed November 15, 2022 and Korean Patent Application No. 10-2023-0107049 filed August 16, 2023, and all contents disclosed in the documents of said Korean patent applications are incorporated herein by reference.

[0002] The embodiments disclosed herein relate to a battery deterioration testing device and a method of operating the same. [Background technology]

[0003] With the technological development and increasing demand for mobile devices, the demand for secondary batteries is also increasing rapidly. Among them, lithium secondary batteries are widely used as energy sources for various electronic products as well as various mobile devices due to their high energy density, operating voltage, and excellent storage and life characteristics.

[0004] The types of such secondary batteries include lithium ion batteries, lithium polymer batteries, nickel cadmium batteries, nickel metal hydride batteries, nickel zinc batteries, etc. Lithium secondary batteries are also classified into prismatic batteries, pouch batteries, and cylindrical batteries depending on their shape.

[0005] BACKGROUND ART In recent years, secondary batteries have been widely used not only in small devices such as portable electronic devices but also in medium to large devices such as battery packs for hybrid cars and electric cars or power storage devices.

[0006] Degradation analysis can be used to predict the lifespan of such secondary batteries. The degree of degradation can be quantified by the amount of side reactions (e.g., loss of lithium inventory (LLI) and loss of active material (LAM)). Here, LLI indicates how much lithium in a secondary battery has decreased relative to the beginning of life (BOL). The LAM of the positive electrode indicates how much the positive electrode active material in a secondary battery has decreased relative to the BOL. The LAM of the negative electrode indicates how much the negative electrode active material in a secondary battery has decreased relative to the BOL. Summary of the Invention [Problem to be solved by the invention]

[0007] However, conventional methods for quantifying the amount of side reactions have not established a consistent quantification methodology through experimental methods, and estimation of the degree of deterioration using only simple capacity has the problem of not accurately reflecting the actual degree of deterioration inside the battery.

[0008] Therefore, in order to accurately analyze the degree of deterioration, the battery must be disassembled and analyzed, which poses a problem in that it requires a lot of time and resources. Therefore, a method is needed to accurately and consistently estimate the amount of side reactions that occur due to battery degradation in a non-destructive manner.

[0009] The technical problems of the embodiments disclosed in this document are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description. [Means for solving the problem]

[0010] A battery deterioration inspection device according to one embodiment disclosed in this document includes a data acquisition unit that acquires first data relating to a first OCV (open circuit voltage) and a first SOH (state of health) of the battery at a first time point, and second data relating to a second OCV and a second SOH of the battery at a second time point following the first time point; a capacity identification unit that identifies the theoretical capacity of a full cell at a reference time point in reference data relating to the battery; and a calculation unit that calculates an OCV change between the first OCV and the second OCV, and an SOH change between the first SOH and the second SOH, and calculates an ASR (anode side reaction) and a CSR (cathode side reaction) at the second time point based on the theoretical capacity, the OCV change, and the SOH change.

[0011] In one embodiment, the reference time point may be the beginning of life (BOL) time point. In one embodiment, the calculation unit can calculate the ASR and the CSR based on a gradient of the capacity-positive electrode equilibrium potential and a gradient of the capacity-negative electrode equilibrium potential of the battery at the first time point.

[0012] In one embodiment, the reference data may be pre-derived via a battery of the same type as the battery. In one embodiment, the calculation unit determines the ASR based on a value obtained by multiplying the theoretical capacity by the amount of change in SOH, and the calculation unit can determine the CSR based on the amount of change in OCV.

[0013] The deterioration inspection device according to an embodiment may further include a model generation unit that generates a model for determining the SOH of a battery based on the calculated ASR and the calculated CSR.

[0014] According to one embodiment, the deterioration testing device further includes an active material loss confirmation unit that confirms the amount of change in active material loss between the first time point and the second time point, and the model generation unit can generate the model for confirming the SOH of the battery further based on the amount of change in active material loss.

[0015] An operating method of a battery deterioration inspection device according to one embodiment disclosed herein includes the steps of: acquiring first data relating to a first OCV (open circuit voltage) and a first SOH (state of health) of the battery at a first time point; acquiring second data relating to a second OCV and a second SOH of the battery at a second time point following the first time point; identifying a theoretical capacity of a full cell at a reference time point in reference data relating to the battery; calculating an OCV change between the first OCV and the second OCV, and an SOH change between the first SOH and the second SOH; and calculating an ASR (anode side reaction) and a CSR (cathode side reaction) at the second time point based on the theoretical capacity, the OCV change, and the SOH change.

[0016] In one embodiment, the reference time point may be the beginning of life (BOL) time point. In one embodiment, the operation of calculating the ASR and the CSR may further include an operation of calculating the ASR and the CSR based on a capacity-positive electrode equilibrium potential gradient and a capacity-negative electrode equilibrium potential gradient of the battery at the first time point.

[0017] In one embodiment, the reference data may be pre-derived via a battery of the same type as the battery. In one embodiment, the operation of calculating the ASR and the CSR may further include an operation in which the calculation unit determines the ASR based on a value obtained by multiplying the theoretical capacity by the SOH change amount, and an operation in which the calculation unit determines the CSR based on the OCV change amount.

[0018] The method of operating the deterioration inspection device according to an embodiment may further include generating a model for determining the SOH of the battery based on the calculated ASR and the CSR.

[0019] In one embodiment, the operation of generating the model in the method of operating a deterioration detection device may further include an operation of confirming an amount of change in active material loss between the first time point and the second time point, and an operation of generating the model for confirming the SOH of the battery further based on the amount of change in active material loss. [Effects of the Invention]

[0020] The deterioration inspection device and its operation method according to various embodiments disclosed herein can accurately and consistently estimate the amount of side reactions in a battery that accompany battery deterioration in a non-destructive manner.

[0021] The effects of the deterioration inspection device and its operating method disclosed in this document are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the disclosure of this document. [Brief explanation of the drawings]

[0022] [Figure 1] FIG. 1 is a block diagram of a degradation inspection device according to various embodiments of the present disclosure. [Figure 2] 1 is a flowchart illustrating a method of operating a degradation inspection device according to an embodiment of the present disclosure. [Figure 3a] 1 illustrates an embodiment of a degradation inspection device according to an embodiment of the present disclosure. [Figure 3b] 1 illustrates an embodiment of a degradation inspection device according to an embodiment of the present disclosure. [Figure 3c] 1 illustrates an embodiment of a degradation inspection device according to an embodiment of the present disclosure. In connection with the description of the drawings, the same or similar reference numerals may be used for the same or similar components. DETAILED DESCRIPTION OF THE INVENTION

[0023] Embodiments of the present invention will now be described with reference to the accompanying drawings, although it should be understood that this is not intended to limit the present invention to the particular embodiments, but rather to include various modifications, equivalents, and / or alternatives to the embodiments of the present invention.

[0024] The embodiments and terms used in this document are not intended to limit the technical features described in this document to a specific embodiment, but should be understood to include various modifications, equivalents, or alternatives of the embodiment. In connection with the description of the drawings, like reference numerals may be used for like or related components. The singular form of a noun corresponding to an item may include one or more of the said item unless the relevant context clearly dictates otherwise.

[0025] In this document, each phrase such as "A or B," "at least one of A and B," "at least one of A or B," "A, B, or C," "at least one of A, B, and C," and "at least one of A, B, or C" may include any one or all possible combinations of the items listed with that phrase. Terms such as "first," "second," "first," "second," "A," "B," "(a)," or "(b)" may be used simply to distinguish that element from other elements and do not limit that element in other respects (e.g., importance or order) unless specifically stated to the contrary.

[0026] In this document, when a (e.g., first) component is referred to as being "coupled," "coupled," or "connected" to another (e.g., second) component, with or without the terms "functionally" or "communicatively," or when a reference is made to "coupled" or "connected," this means that the component may be coupled to the other component directly (e.g., by wire or wirelessly) or indirectly (e.g., via a third component).

[0027] Methods according to various embodiments disclosed herein may be provided in a computer program product. The computer program product may be traded between a seller and a buyer as a commodity. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., a compact disc read-only memory (CD-ROM)) or distributed online (e.g., downloaded or uploaded) via an application store or directly between two user devices. In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily generated on a machine-readable storage medium such as the memory of a manufacturer's server, an application store server, or an intermediary server.

[0028] According to the embodiments disclosed herein, each of the aforementioned components (e.g., modules or programs) may include one or more entities, and some of the entities may be located separately in other components. According to the embodiments disclosed herein, one or more of the aforementioned components or operations may be omitted, or one or more other components or operations may be added. Alternatively or additionally, multiple components (e.g., modules or programs) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the multiple components in the same or similar manner to those performed by the respective components of the multiple components before the integration. According to the embodiments disclosed herein, operations performed by modules, programs, or other components may be performed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be performed in a different order, omitted, or one or more other operations may be added.

[0029] FIG. 1 is a block diagram of a degradation inspection device 100 according to various embodiments of the present disclosure. Referring to FIG. 1 , the deterioration inspection device 100 may include a control unit 110, a memory 120, and a sensor 130. In one embodiment, the deterioration inspection device 100 may be a battery management system (BMS). In this case, the battery 105 may be a battery cell, a battery module, or a battery pack, and the deterioration inspection device 100 may be implemented together with the battery 105 in a single device. In another embodiment, the deterioration inspection device 100 may be a battery swapping station (BSS). When the deterioration inspection device 100 is implemented as a battery swapping station, the deterioration inspection device 100 may include multiple slots for storing and / or charging multiple battery modules. In still another embodiment, the deterioration inspection device 100 may be a remote server. In this case, the battery 105 may be a device capable of communicating with the deterioration inspection device 100.

[0030] In one embodiment, the control unit 110 can execute software to control at least one other component (e.g., hardware or software component) of the degradation inspection device 100 connected to the control unit 110, and can perform various data processing or calculations.

[0031] In one embodiment, the control unit 110 can include a data acquisition unit 111, a capacity identification unit 113, a calculation unit 115, an active material loss determination unit 117, a model generation unit 119, or a combination thereof. In one embodiment, the data acquisition unit 111, the capacity identification unit 113, the calculation unit 115, the active material loss determination unit 117, and / or the model generation unit 119 can be implemented in software.

[0032] In one embodiment, memory 120 may include volatile memory and / or non-volatile memory. In one embodiment, the memory 120 can store data used by at least one component (e.g., the control unit 110 or the sensor 130) of the degradation inspection device 100. For example, the data can include software (or instructions therefor), input data, or output data. In one embodiment, the instructions, when executed by the control unit 110, can cause the degradation inspection device 100 to perform the operation defined by the instructions.

[0033] In one embodiment, the sensor 130 can obtain information about the battery 105. In one embodiment, the sensor 130 can obtain a value (or information) related to the status of the battery 105. In one embodiment, the status value can indicate one or more values ​​related to the voltage, current, resistance, state of charge (SOC), state of health (SOH), temperature, or a combination thereof of the battery cells. Hereinafter, the status value can be referred to as a "status value." In one embodiment, the sensor 130 can provide information (eg, a status value) of the battery 105 to the controller 110 .

[0034] In one embodiment, the battery 105 can provide power to one or more components of the deterioration inspection device 100. In one embodiment, the battery 105 is detachable from the deterioration inspection device 100.

[0035] In one embodiment, the battery 105 may include one or more battery modules. In one embodiment, each of the one or more battery modules may include one or more battery cells. In one embodiment, the one or more battery cells may be connected in series with each other and / or in parallel with each other.

[0036] Hereinafter, a method for calculating the ASR (anode side reaction) and CSR (cathode side reaction) of the battery 105 by the deterioration inspection device 100 will be described with reference to FIG.

[0037] In one embodiment, the data acquisition unit 111 can periodically acquire the state value of the battery 105. In one embodiment, the data acquisition unit 111 can acquire the state value of the battery 105 for each specified charge / discharge cycle.

[0038] In one embodiment, the data acquisition unit 111 can acquire the status value of the battery 105 using the sensor 130. In one embodiment, the data acquisition unit 111 can acquire the status value of the battery 105 through a reference performance test (RPT), where the RPT may be a test for charging and discharging the battery 105 to acquire the voltage, current, resistance, SOC, SOH, temperature, or a combination thereof of the battery 105.

[0039] For example, the data acquiring unit 111 may acquire first data regarding a first open circuit voltage (OCV) and a first state of health (SOH) of the battery 105 at a first time point. Thereafter, the data acquiring unit 111 may acquire second data regarding a second OCV and a second SOH of the battery 105 at a second time point following the first time point. In one embodiment, the acquired first data and second data may be stored in memory 120 .

[0040] In one embodiment, the capacity identification unit 113 can identify a theoretical capacity of a full cell at a reference point in reference data for the battery 105. In one embodiment, the reference point may be the beginning of life (BOL) point of the battery 105. In one embodiment, the reference data may be data previously derived using a battery of the same type as the battery 105. In one embodiment, the reference data may be referred to as design parameters. In one embodiment, the reference data may include information about the open circuit potential (OCP) of the positive electrode, the OCP of the negative electrode, and the OCV of the full cell. In one embodiment, the reference data may include information about the value of the OCV (and / or OCP) relative to the SOC. In one embodiment, the reference data may include information about the rate of change of the OCV (and / or OCP) relative to the SOC.

[0041] In one embodiment, the calculation unit 115 can calculate the amount of change in OCV between the first OCV and the second OCV. In one embodiment, the calculation unit 115 can calculate the amount of change in SOH between the first SOH and the second SOH.

[0042] In one embodiment, the calculation unit 115 can calculate the ASR (anode side reaction) and CSR (cathode side reaction) at the second time point based on the theoretical capacity of the full cell, the change in OCV, and the change in SOH. More specifically, the calculation unit 115 can calculate the ASR and CSR at the second time point based on the following equations:

[0043] formula 1

number

[0044] In formula 1, △C ASR indicates the change in the amount of side reaction at the positive electrode between the first time point (time point k-1) and the second time point (time point k), and △C CSR indicates the change in the amount of side reactions at the negative electrode.

[0045] In formula 1,

number

number

number

number

[0046] In formula 1, △SOH OCV indicates the amount of SOH change at a specified voltage.

number

[0047] In one embodiment,

number

[0048] formula 2

number

[0049] Referring to Equation 2,

number

number

number

[0050] In one embodiment,

number

[0051] formula 3

number

[0052] Referring to Equation 3,

number

number

number

[0053] In one embodiment, the calculation unit 115 calculates the capacity of the battery 105 at the first time point (i.e., k-1) versus the gradient of the equilibrium potential of the positive electrode (

number

number

[0054] In one embodiment, the calculation unit 115 calculates the theoretical capacity of a full cell (

number

[0055] Hereinafter, a method for the deterioration inspection device 100 to calculate the ASR and CSR of the battery 105, taking into further consideration the loss of active material (LAM), will be described.

[0056] In one embodiment, the calculation unit 115 can calculate the ASR and CSR at the second time point by further taking into account the active material loss. In one embodiment, the calculation unit 115 can calculate the ASR and CSR at the second time point based on the following Equation 4.

[0057] formula 4

number

[0058] In formula 4, △δ LAM、p indicates the amount of change in the loss of the positive electrode active material. In formula 4,

number

number

number

number

number

number

number

number

number

number

[0059] In equation 4, △OCV SOC、Op indicates the change in OCV at the storage SOC point. △OCV SOC、Op indicates the OCV change at 50% SOC, where the slope of the capacity-equilibrium potential, stoichiometry, and capacity can be included in the reference data.

[0060] In one embodiment, the calculation unit 115 can calculate the ASR and CSR based on the gradient of the capacity-negative electrode equilibrium potential at the point where the SOC is 50%, as in Equation 4. In one embodiment, the calculation unit 115 can calculate the ASR and CSR based on the gradient of the capacity-positive electrode equilibrium potential at the point of storage SOC, as in Equation 4.

[0061] In one embodiment, the calculation unit 115 calculates the theoretical capacity of the full cell (

number

[0062] The following describes how the deterioration inspection device 100 generates a model for checking the SOH of a battery based on the calculated ASR and CSR. In one embodiment, the deterioration inspection device 100 may further include an active material loss confirmation unit 117 .

[0063] In one embodiment, the active material loss check unit 117 can check the active material loss at at least two points in time. For example, the active material loss check unit 117 can check the active material loss at a first point in time and a second point in time. Here, the active material loss can include a negative electrode active material loss and a positive electrode active material loss.

[0064] In one embodiment, the active material loss check unit 117 can check the active material loss based on the shape of the derivative of the charge and discharge data. For example, the active material loss check unit 117 can classify the battery 105 into a positive electrode capacity loss, a negative electrode capacity loss, and a balance shift based on the change in the peak value of dV / dQ. Then, the active material loss check unit 117 can check the negative electrode active material loss and the positive electrode active material loss.

[0065] The model generation unit 119 can generate a model for determining the SOH and / or SOC of the battery based on the calculated ASR and CSR. For example, the model may be a model for selecting, from multiple profiles (e.g., SOH profile, SOC profile), a profile corresponding to the LLI (e.g., ASR and CSR) and / or LAM (e.g., positive electrode LAM, negative electrode LAM) at the time of RPT.

[0066] The deterioration inspection device 100 can then utilize the generated model to select a profile corresponding to the LLI (e.g., ASR and CSR) and / or LAM (e.g., positive electrode LAM, negative electrode LAM), and confirm the SOH and / or SOC of the battery through the selected profile.

[0067] FIG. 2 is a flowchart illustrating a method of operation of the degradation inspection device 100 according to one embodiment of the present disclosure. 2 , in operation 210, the deterioration test device 100 may acquire first data related to a first OCV and a first SOH of the battery 105 at a first time point. In one embodiment, the deterioration test device 100 may acquire a status value of the battery 105 by performing a reference performance test (RPT) at the first time point. Here, the RPT may be a test for obtaining the voltage, current, resistance, SOC, SOH, temperature, or a combination thereof of the battery 105 by charging and discharging the battery 105. In one embodiment, the status value may indicate one or more values ​​related to the voltage, current, resistance, SOC (state of charge), SOH (state of health), temperature, or a combination thereof of the battery cell.

[0068] In operation 220, the deterioration inspection device 100 can acquire second data related to a second OCV and a second SOH of the battery 105 at the first time point. In one embodiment, the deterioration inspection device 100 can acquire a status value of the battery 105 by performing an RPT at the second time point.

[0069] In operation 230, the deterioration inspection device 100 can identify a theoretical capacity at a reference point in the reference data for the battery 105. In one embodiment, the deterioration inspection device 100 can identify a theoretical capacity of a full cell at a reference point in the reference data for the battery 105. In one embodiment, the reference point may be the BOL point of the battery 105. In one embodiment, the reference data may be data previously derived using a battery of the same type as the battery 105. In one embodiment, the reference data may be referred to as design parameters. In one embodiment, the reference data may include information about the OCP of the positive electrode, the OCP of the negative electrode, and the OCV of the full cell. In one embodiment, the reference data may include information about the value of the OCV (and / or OCP) relative to the SOC. In one embodiment, the reference data may include information about the rate of change of the OCV (and / or OCP) relative to the SOC.

[0070] In operation 240, the degradation testing device 100 can calculate the OCV change amount and the SOH change amount. In one embodiment, the degradation testing device 100 can calculate the OCV change amount between the first OCV and the second OCV. In one embodiment, the degradation testing device 100 can calculate the SOH change amount between the first SOH and the second SOH.

[0071] In operation 250, the deterioration testing device 100 can calculate the ASR and CSR at the second time point based on the theoretical capacity, the amount of change in OCV, and the amount of change in SOH.

[0072] More specifically, the deterioration inspection device 100 can calculate the ASR and CSR based on the capacity-positive electrode equilibrium potential gradient and the capacity-negative electrode equilibrium potential gradient of the battery 105 at a first time point (i.e., k-1). In one embodiment, the deterioration inspection device 100 can determine the ASR based on the value obtained by multiplying the theoretical capacity of the full cell by the amount of change in SOH, and can determine the CSR based on the amount of change in OCV.

[0073] In one embodiment, the deterioration inspection device 100 can calculate the ASR and CSR based on the gradient of the capacity-negative electrode equilibrium potential at the point where the SOC is 50%. In one embodiment, the deterioration inspection device 100 can calculate the ASR and CSR based on the gradient of the capacity-positive electrode equilibrium potential at the storage SOC point.

[0074] In one embodiment, the degradation test device 100 can determine the ASR based on the value obtained by multiplying the theoretical capacity of the full cell by the SOH change amount, and can determine the CSR based on the OCV change amount at the storage SOC point.

[0075] The deterioration inspection device 100 can then generate a model for confirming the SOH and / or SOC of the battery based on the calculated ASR and CSR. For example, the model may be a model for selecting, from multiple profiles (e.g., SOH profile, SOC profile), a profile that corresponds to the LLI (e.g., ASR and CSR) at the time of RPT.

[0076] Furthermore, the deterioration inspection device 100 can generate a model for confirming the SOH and / or SOC of the battery, further taking into consideration the positive electrode LAM and the negative electrode LAM. For example, the model may be a model for selecting, from multiple profiles (e.g., SOH profile, SOC profile), a profile corresponding to the LLI (e.g., ASR and CSR) and / or LAM (e.g., positive electrode LAM, negative electrode LAM) at the time of RPT. Here, the LAM may include the negative electrode LAM and the positive electrode LAM.

[0077] In one embodiment, negative electrode LAM and positive electrode LAM can be identified based on the outline of the derivative of charge and discharge data of the battery 105. For example, negative electrode LAM and positive electrode LAM can be identified based on the change in the peak value of dV / dQ. Furthermore, LAM of the battery 105 can be classified into positive electrode capacity loss, negative electrode capacity loss, and balance shift based on the change in the peak value of dV / dQ.

[0078] Figure 3a shows an embodiment of a degradation inspection device 100 according to an embodiment of the present disclosure. Figure 3b shows an embodiment of a degradation inspection device 100 according to an embodiment of the present disclosure. 3a, the deterioration inspection device 100 may include a communication circuit 310 instead of the sensor 130. In one embodiment, the communication circuit 310 may establish a wired communication channel and / or a wireless communication channel between the deterioration inspection device 100 and the battery pack 330, and transmit and receive data to and from the battery pack 330 via the established communication channel. According to an embodiment, the deterioration inspection device 100 may include the sensor 130 and the communication circuit 310.

[0079] In one embodiment, the deterioration inspection device 100 may be coupled to the battery pack 330 via a network 301. In one embodiment, the network 301 may include a short-range communication network (e.g., Bluetooth, WIFI (wireless fidelity), or IrDA (infrared data association)), or a long-range communication network (e.g., a cellular network, a 5G network, the Internet, or a computer network (e.g., a LAN or WAN)).

[0080] In one embodiment, the deterioration inspection device 100 may be directly or indirectly coupled to the battery pack 330 via the network 301. In one embodiment, the deterioration inspection device 100 may acquire information about the battery pack 330 via the communication circuit 310. In one embodiment, the deterioration inspection device 100 may acquire a value (or information) about the state of the battery pack 330 via the communication circuit 310.

[0081] In one embodiment, as shown in FIG. 3 b , when the battery pack 330 is included in the electric vehicle 320 , the deterioration inspection device 100 can perform data communication with the battery pack 330 via a communication circuit of the electric vehicle 320 .

[0082] FIG. 3c illustrates an embodiment of a degradation inspection device 100 according to an embodiment of the present disclosure. 3c, the deterioration inspection device 100 may be formed integrally with the battery pack 330. In this case, the deterioration inspection device 100 may directly acquire data from the battery modules 331 and 332 of the battery pack 330.

Claims

1. a data acquisition unit that acquires first data on a first OCV and a first SOH of a battery at a first time point and second data on a second OCV and a second SOH of the battery at a second time point subsequent to the first time point; a capacity identification unit that identifies a theoretical capacity of a full cell at a reference point in reference data related to the battery; a calculation unit that calculates an OCV change amount between the first OCV and the second OCV and an SOH change amount between the first SOH and the second SOH, and calculates an ASR and a CSR at the second time point based on the theoretical capacity of the full cell, the OCV change amount, and the SOH change amount; A deterioration inspection device including:

2. The deterioration inspection device according to claim 1 , wherein the reference time point is a BOL time point.

3. 2. The deterioration inspection device according to claim 1, wherein the calculation unit calculates the ASR and the CSR based on a gradient of the capacity-positive electrode equilibrium potential of the battery at the first time point and a gradient of the capacity-negative electrode equilibrium potential of the battery at the first time point.

4. The deterioration inspection device according to claim 1 , wherein the reference data is derived in advance using a battery of the same type as the battery.

5. the calculation unit determines the ASR based on a value obtained by multiplying the theoretical capacity by the SOH change amount; The deterioration inspection device according to claim 1 , wherein the calculation unit determines the CSR based on the amount of change in OCV.

6. The deterioration inspection device according to claim 1 , further comprising a model generation unit that generates a model for confirming the SOH of a battery based on the calculated ASR and the calculated CSR.

7. further comprising an active material loss confirmation unit that confirms an amount of change in active material loss between the first time point and the second time point, The deterioration inspection device according to claim 6 , wherein the model generation unit generates the model for confirming the SOH of the battery further based on the amount of change in active material loss.

8. obtaining first data relating to a first OCV and a first SOH of the battery at a first time point; acquiring second data relating to a second OCV and a second SOH of the battery at a second time point subsequent to the first time point; Identifying a full-cell theoretical capacity at a reference point in reference data for the battery; An operation of calculating an OCV change amount between the first OCV and the second OCV and an SOH change amount between the first SOH and the second SOH; calculating an ASR and a CSR at the second time point based on the theoretical capacity, the OCV change amount, and the SOH change amount; A method for operating a deterioration inspection device, comprising:

9. The method of claim 8 , wherein the reference time point is a BOL time point.

10. The operation of calculating the ASR and the CSR includes:

9. The operating method of claim 8, further comprising: calculating the ASR and the CSR based on a capacity-positive electrode equilibrium potential gradient and a capacity-negative electrode equilibrium potential gradient of the battery at the first time point.

11. The method of claim 8 , wherein the reference data is previously derived via a battery of the same type as the battery.

12. The operation of calculating the ASR and the CSR includes: determining the ASR based on a value obtained by multiplying the theoretical capacity by the SOH change amount; The method of claim 8 , further comprising: determining the CSR based on the OCV change amount.

13. 12. A method according to any one of claims 8 to 11, further comprising the act of generating a model for ascertaining the SOH of a battery based on the calculated ASR and the CSR.

14. The act of generating the model includes: determining a change in active material loss between the first time point and the second time point; 14. The method of claim 13, further comprising: generating the model for ascertaining the SOH of the battery further based on the active material loss change.

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