Battery deterioration inspection apparatus and method of operating same

Abstract

According to one embodiment disclosed in this document, a battery degradation inspection apparatus may include: a data obtaining unit that obtains first data related to a first open circuit voltage (OCV) and a first state of health (SOH) of a battery at a first time point, and obtaining second data related to a second OCV and a second SOH of the battery at a second time point after the first time point; a capacity identification unit that identifies a theoretical capacity of the total battery cell at a reference time point in reference data related to the battery; and 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 a negative side reaction (ASR) and a positive side reaction (CSR) at the second point in time based on the theoretical capacity, and based on the OCV change amount and the SOH change amount.

Description

Technical Field

[0001] Cross - Reference to Related Applications

[0002] This application claims the priority and benefits of Korean Patent Application No. 10 - 2022 - 0152985, filed with the Korean Intellectual Property Office on November 15, 2022, and Korean Patent Application No. 10 - 2023 - 0107049, filed with the Korean Intellectual Property Office on August 16, 2023. The entire contents of the above - mentioned Korean patent applications are incorporated herein by reference. Technical Field

[0004] Embodiments disclosed herein relate to a battery degradation inspection device and an operation method of the degradation inspection device. Background Art

[0005] The growing technological development and the rapidly increasing demand for mobile devices have rapidly increased the demand for secondary batteries. Lithium secondary batteries have been widely used as an energy source for various electronic products and various mobile devices due to their high energy density, working voltage, and excellent storage and service life characteristics.

[0006] Types of secondary batteries include lithium - ion batteries, lithium - polymer batteries, nickel - cadmium batteries, nickel - metal hydride batteries, nickel - zinc batteries, etc. Lithium secondary batteries are classified into prismatic batteries, pouch - type batteries, and cylindrical batteries according to their shapes.

[0007] In recent years, secondary batteries have been widely used not only in small - sized devices such as portable electronic devices but also in medium - to - large - sized devices such as battery packs or power storage devices in hybrid vehicles or electric vehicles.

[0008] To predict the service life of a secondary battery, degradation degree analysis can be used. The degradation degree can be quantified by the amount of side reactions (e.g., loss of lithium inventory (LLI) and loss of active materials (LAM)). Here, LLI can indicate how much lithium has been reduced in the secondary battery from the beginning of life (BOL). LAM of the positive electrode can indicate how much the positive - electrode active material of the secondary battery has been reduced from BOL. LAM of the negative electrode can indicate how much the negative - electrode active material of the secondary battery has been reduced from BOL. Summary of the Invention

[0009] Technical Problem

[0010] However, the conventional methods for quantifying the amount of side reactions do not have a consistent quantification method established based on experimental methods, and the estimation using only the degradation degree of capacity cannot accurately reflect the actual degradation degree inside the battery.

[0011] Therefore, in order to accurately analyze the degree of degradation, battery disassembly analysis is required, which takes a large amount of time and resources.

[0012] Therefore, a solution is needed to accurately and consistently estimate the amount of side reactions corresponding to battery degradation in a non-destructive manner.

[0013] The technical problems of the embodiments disclosed in this document are not limited to the above technical problems, and those of ordinary skill in the art can clearly understand other unmentioned technical problems through the following description.

[0014] Technical Solution

[0015] A degradation inspection device according to an embodiment disclosed in this document includes: a data acquisition unit configured to acquire first data related to a first open circuit voltage (OCV) and a first state of health (SOH) of a battery at a first time point, and acquire second data related to a second OCV and a second SOH of the battery at a second time point after the first time point; a capacity identification unit configured to identify the theoretical capacity of a full cell at a reference time point from reference data related to the battery; and a calculation unit configured to calculate the amount of change in OCV between the first OCV and the second OCV and the amount of change in SOH between the first SOH and the second SOH, and calculate an anode side reaction (ASR) and a cathode side reaction (CSR) at the second time point based on the theoretical capacity of the full cell, the amount of change in OCV, and the amount of change in SOH.

[0016] In one embodiment, the reference time point may be a beginning of life (BOL) time point.

[0017] In one embodiment, the calculation unit may also be configured to calculate the ASR and the CSR based on the capacity-cathode equilibrium potential slope and the capacity-anode equilibrium potential slope of the battery at the first time point.

[0018] In one embodiment, the reference data may be obtained in advance by a battery of the same type as the battery.

[0019] In one embodiment, the calculation unit may also be configured to determine the ASR based on the product of the theoretical capacity and the amount of change in SOH, and the calculation unit may also be configured to determine the CSR based on the amount of change in OCV.

[0020] In one embodiment, the degradation inspection device may further include a model generation unit configured to generate a model for identifying the SOH of the battery based on the calculated ASR and the calculated CSR.

[0021] In one embodiment, the degradation inspection device may further include an active material loss identification unit configured to identify a change amount of the active material loss between a first time point and a second time point, wherein the model generation unit is further configured to generate a model for identifying the SOH of the battery based on the change amount of the active material loss.

[0022] An operation method of a degradation inspection device according to an embodiment disclosed herein includes the following steps: obtaining first data related to a first open circuit voltage (OCV) and a first state of health (SOH) of a battery at a first time point; obtaining second data related to a second OCV and a second SOH of the battery at a second time point after the first time point; identifying a theoretical capacity of all battery cells at a reference time point from reference data related to the battery; 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; and calculating an anode side reaction (ASR) and a cathode side reaction (CSR) at the second time point based on the theoretical capacity, the OCV change amount, and the SOH change amount.

[0023] In one embodiment, the reference time point may be a beginning of life (BOL) time point.

[0024] In one embodiment, the step of calculating the ASR and the CSR may include calculating the ASR and the CSR based on a capacity-cathode equilibrium potential slope and a capacity-anode equilibrium potential slope of the battery at the first time point.

[0025] In one embodiment, the reference data may be obtained in advance by a battery of the same type as the battery.

[0026] In one embodiment, the step of calculating the ASR and the CSR may include determining the ASR based on a product of the theoretical capacity and the SOH change amount; and determining the CSR by a calculation unit based on the OCV change amount.

[0027] In one embodiment, the operation method may further include the following step: generating a model for identifying the SOH of the battery based on the calculated ASR and CSR.

[0028] In one embodiment, the step of generating the model may include: identifying a change amount of the active material loss between the first time point and the second time point; and generating a model for identifying the SOH of the battery based on the change amount of the active material loss.

[0029] Beneficial effects

[0030] The deterioration inspection device and its operation method according to various embodiments disclosed herein can accurately and consistently estimate the amount of battery side reactions based on battery deterioration.

[0031] The effects of the deterioration inspection device and its operation method according to the disclosure of this document are not limited to the above effects, and other effects not mentioned will be clearly understood by those of ordinary skill in the art based on the disclosure of this document. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a block diagram of a deterioration inspection device according to various embodiments of the present disclosure.

[0033] Figure 2 is a flowchart showing an operation method of a deterioration inspection device according to an embodiment of the present invention.

[0034] Figure 3a shows an implementation example of a deterioration inspection device according to an embodiment of the present invention.

[0035] Figure 3b shows an implementation example of a deterioration inspection device according to an embodiment of the present invention.

[0036] Figure 3c shows an implementation example of a deterioration inspection device according to an embodiment of the present invention.

[0037] Regarding the description of the drawings, like reference numerals may be used to refer to like or related components. DETAILED DESCRIPTION

[0038] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. However, the description is not intended to limit the present disclosure to specific embodiments and should be construed as including various modifications, equivalents, and / or alternatives according to the embodiments of the present disclosure.

[0039] It should be understood that the embodiments of this document and the terms used therein are not intended to limit the technical features set forth herein to specific embodiments, but include various changes, equivalents, or substitutions of the corresponding embodiments. Regarding the description of the drawings, like reference numerals may be used to refer to like or related elements. It is to be understood that, unless the relevant context clearly indicates otherwise, the singular form of a noun corresponding to an item may include one or more items.

[0040] As used herein, each of the phrases 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" can include any one or all possible combinations of the items listed together in the corresponding phrase. Terms such as "first", "second", "primary", "secondary", "A", "B", "(A)", or "(B)" can be used simply to distinguish corresponding components from another component, and unless otherwise stated, do not limit the components in other respects (e.g., importance or order).

[0041] Here, it is to be understood that when an element (e.g., a first element) is referred to as being "connected", "coupled", or "linked" to another element (e.g., a second element), or "coupled to" or "connected to" another element (e.g., a second element), with or without the terms "operatively" or "communicatively", this means that the element can be directly (e.g., wired or wirelessly) or indirectly (e.g., via a third element) connected to the other element.

[0042] The methods according to various embodiments disclosed herein can be included and provided in a computer program product. The computer program product can be traded as a product between a seller and a buyer. The computer program product can be distributed in the form of a machine-readable storage medium (e.g., a compact disc read-only memory (CD-ROM)), or online via an application store, or directly between two user devices (e.g., downloaded or uploaded). If distributed online, at least a portion of the computer program product can be temporarily generated or at least temporarily stored in a machine-readable storage medium, such as the memory of a manufacturer's server, the server of an application store, or a relay server.

[0043] According to the embodiments disclosed herein, each of the above components (e.g., a module or a program) can include a single entity or multiple entities, and some of the multiple entities can be separately provided in different components. According to various embodiments disclosed herein, one or more of the above components can be omitted, or one or more other components can be added. Alternatively or additionally, multiple components (e.g., modules or programs) can be integrated into a single component. In this case, according to various embodiments, the integrated component can still perform one or more functions of each of the multiple components in the same or a similar manner as they were performed by the corresponding one of the multiple components before integration. According to the embodiments disclosed herein, the operations performed by a module, a program, or another component can be executed sequentially, in parallel, repeatedly, or heuristically, or can be executed in a different order or one or more of the operations can be omitted, or one or more other operations can be added.

[0044] Figure 1 is a block diagram of a degradation inspection device 100 according to various embodiments of the present disclosure.

[0045] Referring to Figure 1 , the degradation inspection device 100 may include a controller 110, a memory 120, and a sensor 130. In one embodiment, the degradation 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 degradation inspection device 100 may be implemented as a single device together with the battery 105. In another embodiment, the degradation inspection device 100 may be a battery swapping station (BSS). When the degradation inspection device 100 is implemented using a battery swapping station, the degradation inspection device 100 may include a plurality of slots for storing and / or charging a plurality of battery modules. In another embodiment, the degradation inspection device 100 may be a server at a remote location. In this case, the battery 105 may be a device capable of communicating with the degradation inspection device 100.

[0046] In one embodiment, the controller 110 may execute software to control at least one other component (e.g., a hardware component or a software component) of the degradation inspection device 100 connected to the controller 110, and may process or calculate various data.

[0047] In one embodiment, the controller 110 may include a data acquisition unit 111, a capacity identification unit 113, a calculation unit 115, an active material loss identification 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 identification unit 117, and / or the model generation unit 119 may be implemented using software.

[0048] In one embodiment, the memory 120 may include a volatile memory and / or a non-volatile memory.

[0049] In one embodiment, the memory 120 may store data used by at least one component (e.g., the controller 110 or the sensor 130) of the degradation inspection device 100. For example, the data may include software (or instructions related thereto), input data, or output data. In one embodiment, when the instructions are executed by the controller 110, the instructions may cause the degradation inspection device 100 to perform the operations defined by the instructions.

[0050] In one embodiment, sensor 130 may obtain information related to battery 105. In one embodiment, sensor 130 may obtain a value (or information) related to the state of battery 105. In one embodiment, the state-related value may indicate one or more values among the voltage, current, resistance, state of charge (SOC), state of health (SOH), or temperature of the battery cell or a combination thereof. Hereinafter, the state-related value may be referred to as a "state value".

[0051] In one embodiment, sensor 130 may provide information (e.g., state value) of battery 105 to controller 110.

[0052] In one embodiment, battery 105 may supply power to one or more components of deterioration inspection device 100. In one embodiment, battery 105 may be attached to or detached from deterioration inspection device 100.

[0053] In one embodiment, 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 to each other in series and / or in parallel.

[0054] Hereinafter, with reference to Figure 1 , a method of calculating the anode side reaction (ASR) and the cathode side reaction (CSR) of battery 105 performed by deterioration inspection device 100 will be described.

[0055] In one embodiment, data acquisition unit 111 may periodically acquire the state value of battery 105. In one embodiment, data acquisition unit 111 may acquire the state value of battery 105 at each specified charge / discharge cycle.

[0056] In one embodiment, data acquisition unit 111 may acquire the state value of battery 105 by using sensor 130. In one embodiment, data acquisition unit 111 may acquire the state value of battery 105 by using a reference performance test (RPT). Here, the RPT may refer to a test of obtaining the voltage, current, resistance, state of charge (SOC), state of health (SOH), or temperature of battery 105 or a combination thereof by charging and discharging battery 105.

[0057] For example, data acquisition unit 111 may acquire first data related to the first open circuit voltage (OCV) and the first SOH of battery 105 at a first time point. Thereafter, at a second time point after the first time point, data acquisition unit 111 may acquire second data related to the second OCV and the second SOH of battery 105.

[0058] In one embodiment, the obtained first data and second data may be stored in the memory 120.

[0059] In one embodiment, the capacity identification unit 113 may identify the theoretical capacity of the full cell at a reference time point from reference data related to the battery 105. In one embodiment, the reference time point may be the beginning of life (BOL) time point of the battery 105. In one embodiment, the reference data may refer to data previously obtained from 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 related to the open circuit potential (OCP) of the positive electrode, the OCP of the negative electrode, and the full cell OCV. In one embodiment, the reference data may include information related to the value of the OCV (and / or OCP) with respect to the SOC. In one embodiment, the reference data may include information related to the rate of change of the OCV (and / or OCP) with respect to the SOC.

[0060] In one embodiment, the calculation unit 115 may calculate the amount of change in OCV between the first OCV and the second OCV. In one embodiment, the calculation unit 115 may calculate the amount of change in SOH between the first SOH and the second SOH.

[0061] In one embodiment, the calculation unit 115 may calculate the ASR and CSR at the second time point based on the theoretical capacity of the full cell, the amount of change in OCV, and the amount of change in SOH. More specifically, the calculation unit 115 may calculate the ASR and CSR at the second time point based on the formula provided below.

[0062] [Equation 1]

[0063]

[0064] In Equation 1, △C ASR may indicate the amount of change in the side reaction amount of the positive electrode between the first time point (k - 1) and the second time point (k), and △C CSR may indicate the amount of change in the side reaction amount of the negative electrode between the first time point (k - 1) and the second time point (k).

[0065] In Equation 1, may indicate the slope of the capacity (c) - negative electrode equilibrium potential at the time point (k - 1), and and may indicate the slope of the capacity (c) - positive electrode equilibrium potential at the time point (k - 1).

[0066] ​In Equation 1, △SOH OCV can indicate the change in SOH at a specified voltage. can mean the theoretical capacity other than the overpotential within a specified voltage range at a reference time point (i.e., the time point when k is 0 or BOL). OCV can mean the change in OCV. Here, (k - 1) can mean the first time point, and k can mean the second time point. The change amount in Equation 1 can be identified by the value at the second time point relative to the value at the first time point.

[0067] In one embodiment, it can be calculated based on Equation 2

[0068] [Equation 2]

[0069]

[0070]

[0071] Referring to Equation 2, it can be calculated based on the product of the change in the negative potential at the time point (k - 1) relative to the negative stoichiometry and the change in capacity - negative stoichiometry. In addition, the change in capacity - negative stoichiometry can be replaced by that indicating the negative electrode capacity within a specified voltage range. Here, the reference data can include the change in the negative potential at the time point (k - 1) relative to the negative stoichiometry and the change in capacity - negative stoichiometry.

[0072] In one embodiment, it can be calculated based on Equation 3

[0073] [Equation 3]

[0074]

[0075]

[0076] Referring to Equation 3, it can be calculated based on the product of the change in the positive potential at the time point (k - 1) relative to the positive stoichiometry and the change in capacity - positive stoichiometry. In addition, the change in capacity - positive stoichiometry can be replaced by that indicating the positive electrode capacity within a specified voltage range. Here, the reference data can include the change in the positive potential at the time point (k - 1) relative to the positive stoichiometry and the change in capacity - positive stoichiometry.

[0077] In one embodiment, the calculation unit 115 may calculate the ASR and CSR based on the capacity-cathode equilibrium potential slope of the battery 105 at the first time point (i.e., k-1). and the capacity-anode equilibrium potential slope as shown in Equation 1.

[0078] In one embodiment, the calculation unit 115 may determine the ASR based on the product of the theoretical capacity of the full cell and the change in SOH △SOH OCV and determine the CSR based on the change in OCV △OCV, as shown in Equation 1.

[0079] Hereinafter, a method of calculating the ASR and CSR of the battery 105 based on the loss of active material (LAM) performed by the degradation inspection device 100 will be described.

[0080] In one embodiment, the calculation unit 115 may also calculate the ASR and CSR at the second time point based on the loss of active material. In one embodiment, the calculation unit 115 may calculate the ASR and CSR at the second time point based on Equation 4 provided below.

[0081] [Equation 4]

[0082]

[0083] In Equation 4, △δ LAM,p may indicate the change in the loss of the positive electrode active material.

[0084] In Equation 4, may indicate the slope of the capacity (c SOC,op )-anode equilibrium potential at the storage SOC (operating SOC) point at the time point (k-1), and may indicate the slope of the capacity (c SOC,op )-cathode equilibrium potential at the storage SOC point at the time point (k-1). may indicate the slope of the capacity (c SOC50 )-anode equilibrium potential at the point corresponding to 50% SOC at the time point (k-1), and may indicate the slope of the capacity (c SOC50 )-cathode equilibrium potential at the point corresponding to 50% SOC at the time point (k-1). may mean the positive electrode capacity within a specified voltage range at the reference time point (i.e., the time point when k is 0, or BOL). y SOC100may refer to the positive electrode stoichiometry at the point corresponding to 100% SOC, and may refer to the positive electrode stoichiometry at the time point of k = 0 for storing the SOC point.

[0085] In Equation 4, △OCV SOC,Op may indicate the change amount of OCV at the stored SOC point. △OCV SOC,Op may indicate the change amount of OCV at the point corresponding to 50% SOC. Here, the slope of the capacity - equilibrium potential, stoichiometry, and capacity may be included in the reference data.

[0086] In one embodiment, the calculation unit 115 may calculate ASR and CSR based on the capacity - negative electrode equilibrium potential slope at the point corresponding to 50% SOC, as shown in Equation 4. In one embodiment, the calculation unit 115 may calculate ASR and CSR based on the capacity - positive electrode equilibrium potential slope at the stored SOC point, as shown in Equation 4.

[0087] In one embodiment, the calculation unit 115 may be based on the theoretical capacity of the full - cell unit and the change amount of SOH △SOH OCV product to determine ASR, and determine CSR based on the change amount of OCV △OCV at the stored SOC point, as shown in Equation 4.

[0088] Hereinafter, a method of generating a model for identifying the SOH of a battery based on the calculated ASR and CSR performed by the degradation inspection device 100 will be described.

[0089] In one embodiment, the degradation inspection device 100 may further include an active material loss identification unit 117.

[0090] In one embodiment, the active material loss identification unit 117 may identify active material loss at each of at least two time points. For example, the active material loss identification unit 117 may identify active material loss at each of the first time point and the second time point. Here, the active material loss may include negative electrode active material loss and positive electrode active material loss.

[0091] In one embodiment, the active material loss identification unit 117 may identify active material loss based on different shapes of charge - discharge data. For example, the active material loss identification unit 117 may classify the positive electrode capacity loss, negative electrode capacity loss, and balance shift of the battery 105 based on the change of the peak of dV / dQ. Therefore, the active material loss identification unit 117 can identify negative electrode active material loss and positive electrode active material loss.

[0092] The model generation unit 119 may generate a model for identifying 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 a profile corresponding to the LLI (e.g., ASR and CSR) and / or LAM (e.g., positive electrode LAM and negative electrode LAM) from among a plurality of profiles (e.g., SOH profile, SOC profile).

[0093] Thereafter, the degradation inspection device 100 may select a profile corresponding to the LLI (e.g., ASR and CSR) and / or LAM (e.g., positive electrode LAM and negative electrode LAM) by using the generated model, and identify the SOH and / or SOC of the battery from the selected profile.

[0094] Figure 2 is a flowchart showing an operation method of the degradation inspection device 210 according to an embodiment of the present invention.

[0095] Refer to Figure 2 In operation 210, the degradation inspection device 100 may obtain first data related to the first OCV and the first SOH of the battery 105 at a first time point. In one embodiment, the degradation inspection device 100 may obtain the state value of the battery 105 by performing an RPT at the first time point. Here, the RPT may refer to a test for obtaining the voltage, current, resistance, SOC, SOH, or temperature of the battery 105, or a combination thereof, by charging and discharging the battery 105. In one embodiment, the state-related value may indicate one or more values among the voltage, current, resistance, SOC, SOH, or temperature of the battery cell, or a combination thereof.

[0096] In operation 220, the degradation inspection device 100 may obtain second data related to the second OCV and the second SOH of the battery 105 at a first time point. In one embodiment, the degradation inspection device 100 may obtain the state value of the battery 105 by performing an RPT at the second time point.

[0097] In operation 230, the degradation inspection device 100 may identify the theoretical capacity at the reference time point from the reference data related to the battery 105. In one embodiment, the degradation inspection device 100 may identify the theoretical capacity of the entire battery cell at the reference time point from the reference data related to the battery 105. In one embodiment, the reference time point may be the BOL time point of the battery 105. In one embodiment, the reference data may refer to data previously obtained from 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 related to the OCP of the positive electrode, the OCP of the negative electrode, and the OCV of the entire battery cell. In one embodiment, the reference data may include information related to the value of the OCV (and / or OCP) with respect to the SOC. In one embodiment, the reference data may include information related to the rate of change of the OCV (and / or OCP) with respect to the SOC.

[0098] In operation 240, the degradation inspection device 100 may calculate the OCV change amount and the SOH change amount. In one embodiment, the degradation inspection device 100 may calculate the OCV change amount between the first OCV and the second OCV. In one embodiment, the degradation inspection device 100 may calculate the SOH change amount between the first SOH and the second SOH.

[0099] In operation 250, the degradation inspection device 100 may calculate the ASR and the CSR at the second time point based on the theoretical capacity, the OCV change amount, and the SOH change amount.

[0100] More specifically, the degradation inspection device 100 may calculate the ASR and the CSR based on the capacity-positive electrode equilibrium potential slope and the capacity-negative electrode equilibrium potential slope of the battery 105 at the first time point (i.e., k-1). In one embodiment, the degradation inspection device 100 may determine the ASR based on the product of the theoretical capacity of the entire battery cell and the SOH change amount, and determine the CSR based on the OCV change amount.

[0101] In one embodiment, the degradation inspection device 100 may calculate the ASR and the CSR based on the capacity-negative electrode equilibrium potential slope at the point corresponding to 50% of the SOC. In one embodiment, the degradation inspection device 100 may calculate the ASR and the CSR based on the capacity-positive electrode equilibrium potential slope at the stored SOC point.

[0102] In one embodiment, the degradation inspection device 100 may determine the ASR based on the product of the theoretical capacity of the entire battery cell and the SOH change amount, and determine the CSR based on the OCV change amount at the stored SOC point.

[0103] Thereafter, the degradation inspection device 100 may generate a model for identifying 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 a profile corresponding to the LLI (e.g., ASR and CSR) from among multiple profiles (e.g., SOH profile, SOC profile).

[0104] The degradation inspection device 100 may also generate a model for identifying the SOH and / or SOC of the battery based on the positive electrode LAM and the negative electrode LAM. For example, the model may be a model for selecting a profile corresponding to the LLI (e.g., ASR and CSR) and / or LAM (e.g., positive electrode LAM and negative electrode LAM) from among multiple profiles (e.g., SOH profile, SOC profile). Here, the LAM may include the negative electrode LAM and the positive electrode LAM.

[0105] In one embodiment, the negative electrode LAM and the positive electrode LAM may be identified based on different shapes of the charge and discharge data of the battery 105. For example, the negative electrode LAM and the positive electrode LAM may be identified based on changes in the peak value of dV / dQ. The LAM of the battery 105 may be classified into positive electrode capacity loss, negative electrode capacity loss, and balance shift based on changes in the peak value of dV / dQ.

[0106] Figure 3a An implementation example of the degradation inspection device 100 according to one embodiment of the present invention is shown. Figure 3b An implementation example of the degradation inspection device 100 according to one embodiment of the present invention is shown.

[0107] Referring to Figure 3a , instead of the sensor 130, the degradation inspection device 100 may include a communication circuit 310. In one embodiment, the communication circuit 310 may establish a wired communication channel and / or a wireless communication channel between the degradation inspection device 100 and the battery pack 330, and send data to and receive data from the battery pack 330 through the established communication channel. According to one embodiment, the degradation inspection device 100 may include the sensor 130 and the communication circuit 310.

[0108] In one embodiment, the degradation inspection device 100 may be connected to the battery pack 330. In one embodiment, the network 301 may include a short-range communication network (e.g., Bluetooth, Wi-Fi (Wireless Fidelity), and / or IrDA (Infrared Data Association)) or a long-range communication network (e.g., a traditional cellular network, a 5G (5th Generation) network, the Internet, or a computer network (e.g., a LAN (Local Area Network) or a WAN (Wide Area Network)).

[0109] In one embodiment, the degradation inspection device 100 may be directly or indirectly connected to the battery pack 330. In one embodiment, the degradation inspection device 100 may obtain information related to the battery pack 330 through the communication circuit 310. In one embodiment, the degradation inspection device 100 may obtain a value (or information) related to the state of the battery pack 330 through the communication circuit 310.

[0110] In one embodiment, when the battery pack 330 as Figure 3b shown is included in the electric vehicle 320, the degradation inspection device 100 may perform data communication with the battery pack 330 through the communication circuit of the electric vehicle 320.

[0111] Figure 3c An implementation example of the degradation inspection device 100 according to an embodiment of the present invention is shown.

[0112] Referring to Figure 3c , the degradation inspection device 100 may be integrally formed with the battery pack 330. In this case, the degradation inspection device 100 may directly obtain data from the battery modules 331 and 332 of the battery pack 330.

Claims

1. A degradation inspection device, the degradation inspection device comprising: A data acquisition unit configured to acquire first data related to a first open circuit voltage (OCV) and a first state of health (SOH) of a battery at a first time point, and acquire second data related to a second OCV and a second SOH of the battery at a second time point after the first time point; A capacity identification unit configured to identify a theoretical capacity of a full cell unit at a reference time point from reference data related to the battery; And A calculation unit configured to calculate 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 calculate an anode side reaction (ASR) and a cathode side reaction (CSR) at the second time point based on the theoretical capacity of the full cell unit, the OCV change amount, and the SOH change amount.

2. The degradation inspection device according to claim 1, wherein, The reference time point is a beginning of life (BOL) time point.

3. The degradation inspection device according to claim 1, wherein, The calculation unit is further configured to calculate the ASR and the CSR based on a capacity-cathode equilibrium potential slope and a capacity-anode equilibrium potential slope of the battery at the first time point.

4. The degradation inspection device according to claim 1, wherein, The reference data is pre-derived from a battery of the same type as the battery.

5. The degradation inspection device according to claim 1, wherein, The calculation unit is further configured to determine the ASR based on a product of the theoretical capacity and the SOH change amount, and The calculation unit is further configured to determine the CSR based on the OCV change amount.

6. The degradation inspection device according to claim 1, the degradation inspection device further comprising a model generation unit configured to generate a model for identifying the state of health (SOH) of the battery based on the calculated ASR and the calculated CSR.

7. The degradation inspection device according to claim 6, the degradation inspection device further comprising an active material loss identification unit configured to identify the change amount of the active material loss between the first time point and the second time point, wherein, The model generation unit is further configured to generate the model for identifying the SOH of the battery further based on a change amount of active material loss.

8. An operation method of a degradation inspection device, the operation method comprising the following steps: Acquire first data related to a first open circuit voltage (OCV) and a first state of health (SOH) of a battery at a first time point; Acquire second data related to a second OCV and a second SOH of the battery at a second time point after the first time point; Identify a theoretical capacity of a full cell unit at a reference time point from reference data related to the battery; Calculate 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 Calculate an anode side reaction (ASR) and a cathode side reaction (CSR) at the second time point based on the theoretical capacity, the OCV change amount, and the SOH change amount.

9. The operation method according to claim 8, wherein, The reference time point is a beginning of life (BOL) time point.

10. The operation method according to claim 8, wherein, The steps of calculating the ASR and the CSR include: calculating the ASR and the CSR based on a capacity-cathode equilibrium potential slope and a capacity-anode equilibrium potential slope of the battery at the first time point.

11. The operation method according to claim 8, wherein, The reference data is pre-derived from a battery of the same type as the battery.

12. The operation method according to claim 8, wherein, The steps of calculating the ASR and the CSR include: Determine the ASR based on a product of the theoretical capacity and the SOH change amount; and The calculation unit determines the CSR based on the OCV change amount.

13. According to the operation method described in claim 8, the operation method further includes the following steps: Generate a model for identifying the SOH of the battery based on the calculated ASR and CSR.

14. According to the operation method described in claim 13, wherein The steps of generating the model include: Identify the change in the loss of the active material between the first time point and the second time point; and Also generate the model for identifying the SOH of the battery based on the change in the loss of the active material.

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