Apparatus, system, and method for detecting solid-state battery faults

DE102024109686A1Pending Publication Date: 2025-02-20HYUNDAI MOTOR CO LTD +1
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Patent Information

Application Number
DE102024109686
Authority / Receiving Office
DE · DE
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-08-17
Filing Date
2024-04-08
Publication Date
2025-02-20

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Abstract

The present disclosure relates to a solid-state battery defect detection device (100), a related system, and a related method. An exemplary embodiment of the present disclosure provides a solid-state battery defect detection device (100), comprising: a processor (140) configured to detect a defect in a solid-state battery using a pressure distribution measurement of the solid-state battery at the end of charging and discharging of the solid-state battery, as well as immediately after mounting a pressurizing device (101, 108) on the solid-state battery, and a memory device (120) configured to store data and algorithms executed by the processor (140).
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Description

BackgroundTechnical area

[0001] The present invention relates to a solid-state battery defect detection apparatus, a solid-state battery defect detection system, and a solid-state battery defect detection method, and more particularly to a solid-state battery defect detection technology utilizing pressure distribution. Background technology

[0002] A secondary battery is a battery that can be repeatedly charged and discharged and is widely used in high-tech devices such as mobile phones, laptops, and electric vehicles. Recently, the demand for secondary batteries with high energy density and high performance has been increasing, and solid-state batteries are attracting attention as a next-generation technology.

[0003] A solid-state battery, which uses a solid electrolyte between the positive electrode and the negative electrode layer, can increase energy density, reduce volume, and significantly improve stability compared to conventional lithium-ion batteries.

[0004] Due to these characteristics of the all-solid-state battery, high and uniform pressure must be continuously applied using a pressurizing device. In this case, if the pressurizing device is tightened unevenly, uneven pressure may be exerted on the all-solid-state battery, resulting in uneven deposition or desorbation of lithium metal, and the volume of certain parts expanding or contracting. A part experiencing such expansion or contraction may rapidly deteriorate, negatively affecting the quality (safety, durability, etc.) of the all-solid-state battery. Short explanation

[0005] An exemplary embodiment of the present disclosure or invention (hereinafter also referred to as disclosure) seeks to provide an all-solid-state battery defect detection apparatus, a all-solid-state battery defect detection system, and a all-solid-state battery defect detection method capable of precisely detecting a defect in an all-solid-state battery using a pressure distribution.

[0006] Furthermore, an exemplary embodiment of the present disclosure seeks to provide an all-solid-state battery defect detection apparatus, a all-solid-state battery defect detection system, and a all-solid-state battery defect detection method capable of performing precise defect detection on an all-solid-state battery by detecting a defect in the all-solid-state battery by measuring a pressure distribution at the end of charging the all-solid-state battery and at the end of discharging the all-solid-state battery, and immediately after mounting a pressurizing device of the all-solid-state battery.

[0007] The technical objects, aims and objectives of the present disclosure are not limited to the above-mentioned objects, aims and objectives, and other technical objects, aims and objectives not mentioned can be clearly understood by those skilled in the art from the description of the claims.

[0008] An exemplary embodiment of the present disclosure provides a solid-state battery defect detection device comprising: a processor configured to detect a defect in a solid-state battery using a pressure distribution measurement of the solid-state battery at the end of charging and discharging of the solid-state battery and immediately after mounting a pressurizing device on the solid-state battery, and a storage device configured to store data and algorithms executed by the processor.

[0009] In an exemplary embodiment of the present disclosure, the processor may be configured to detect a defect in the all-solid-state battery by comparing a pressure distribution standard deviation value, which is / was measured immediately after mounting the pressurizing device on the all-solid-state battery, with a predetermined reference value.

[0010] In an exemplary embodiment of the present disclosure, the processor may be configured to detect a defect in the solid-state battery by comparing a pressure distribution standard deviation value measured at the end of charging the solid-state battery with a predetermined reference value.

[0011] In an exemplary embodiment of the present disclosure, the end of charging of the solid-state battery may refer to a state in which charging of the solid-state battery begins (or, for example, has begun) and a state of charge (SOC) of the solid-state battery reaches a predetermined reference value.

[0012] In an exemplary embodiment of the present disclosure, the processor may be configured to detect a defect in the solid-state battery by comparing a pressure distribution standard deviation value measured at the end of discharging the solid-state battery with a predetermined reference value.

[0013] In an exemplary embodiment of the present disclosure, the end of discharging of the solid-state battery may refer to a state in which discharging of the solid-state battery begins (or, for example, has begun) and a depth of discharge (DOD) reaches a predetermined reference value.

[0014] In an exemplary embodiment of the present disclosure, the processor may be configured to determine (e.g., determine, set) the predetermined reference value according to a pressure value applied to a battery cell of the solid-state battery and a size of the battery cell.

[0015] An exemplary embodiment of the present disclosure provides a solid-state battery defect detection system comprising: a surface pressure sensor configured to measure a pressure distribution of a solid-state battery; and a solid-state battery defect detection device configured to detect a defect in a solid-state battery using a pressure distribution measurement of the solid-state battery measured by the surface pressure sensor at the end of charging and discharging of the solid-state battery, and immediately after mounting a pressurizing device on the solid-state battery.

[0016] In an exemplary embodiment of the present disclosure, the surface pressure sensor may be configured to measure a pressure distribution of a positive electrode of the all-solid-state battery.

[0017] In an exemplary embodiment of the present disclosure, the surface pressure sensor may be configured to be provided between the pressurizing device and the solid-state battery.

[0018] In an exemplary embodiment of the present disclosure, the all-solid-state battery defect detection device may be configured to detect a defect in the all-solid-state battery by comparing a pressure distribution standard deviation value, which is measured immediately after mounting the pressurizing device on the all-solid-state battery, with a predetermined reference value.

[0019] In an exemplary embodiment of the present disclosure, the all-solid-state battery defect detection device may be configured to detect a defect in the all-solid-state battery by comparing a pressure distribution standard deviation value measured at the end of charging the all-solid-state battery with a predetermined reference value.

[0020] In an exemplary embodiment of the present disclosure, the all-solid-state battery defect detection device may be configured to detect a defect in the all-solid-state battery by comparing a pressure distribution standard deviation value measured at the end of discharging the all-solid-state battery with a predetermined reference value.

[0021] An exemplary embodiment of the present disclosure provides an all-solid-state battery defect detection method comprising: detecting a defect in an all-solid-state battery using a pressure distribution measurement of the all-solid-state battery immediately after mounting a pressurizing device to the all-solid-state battery, detecting a defect in the all-solid-state battery using a pressure distribution measurement of the all-solid-state battery at an end of charging the all-solid-state battery, and detecting a defect in the all-solid-state battery using a pressure distribution measurement of the all-solid-state battery at an end of discharging the all-solid-state battery.

[0022] In an exemplary embodiment of the present disclosure, detecting the defect in the all-solid-state battery using the pressure distribution measurement of the all-solid-state battery immediately after mounting the pressurizing device to the all-solid-state battery may include: comparing a pressure distribution standard deviation value measured immediately after mounting the pressurizing device to the all-solid-state battery with a predetermined reference value, and determining that the all-solid-state battery is defective in response to a case where the pressure distribution standard deviation value measured immediately after mounting the pressurizing device to the all-solid-state battery is smaller than the predetermined (e.g., corresponding) reference value.

[0023] In an exemplary embodiment of the present disclosure, detecting the defect in the all-solid-state battery using the pressure distribution measurement of the all-solid-state battery at the end of charging the all-solid-state battery may include: comparing the pressure distribution standard deviation value measured at the end of charging the all-solid-state battery with a predetermined reference value, and determining that the all-solid-state battery is defective in response to a case where the pressure distribution standard deviation value measured at the end of charging the all-solid-state battery is smaller than the predetermined (e.g., corresponding) reference value.

[0024] In an exemplary embodiment of the present disclosure, detecting the defect in the all-solid-state battery using the pressure distribution measurement of the all-solid-state battery at the end of discharging the all-solid-state battery may include: comparing the pressure distribution standard deviation value measured at the end of discharging the all-solid-state battery with a predetermined reference value, and determining that the all-solid-state battery is defective in response to a case where the pressure distribution standard deviation value measured at the end of discharging the all-solid-state battery is smaller than the predetermined reference value.

[0025] In an exemplary embodiment of the present disclosure, the end of charging of the solid-state battery may refer to a state in which charging of the solid-state battery begins (or, for example, has begun) and a state of charge (SOC) of the solid-state battery reaches a predetermined reference value.

[0026] In an exemplary embodiment of the present disclosure, the end of discharging of the solid-state battery may refer to a state in which discharging of the solid-state battery begins (or, for example, has begun) and a depth of discharge (DOD) reaches a predetermined reference value.

[0027] In an exemplary embodiment of the present disclosure, the method may further comprise determining (e.g., ascertaining, setting) the predetermined reference value according to a pressure value applied to a battery cell of the solid-state battery and a size of the battery cell.

[0028] According to the present technology, it is possible to accurately detect a defect in a solid-state battery based on a pressure distribution.

[0029] According to the present technology, it is possible to perform precise defect detection on an all-solid-state battery by measuring a pressure distribution at the end of charging the all-solid-state battery, at the end of discharging the all-solid-state battery, and immediately after mounting a pressurizing device of the all-solid-state battery to detect a defect in the all-solid-state battery.

[0030] In some embodiments, a solid-state battery defect detection device is provided. The device comprises a processor configured to detect a defect in a solid-state battery by measuring a pressure distribution of the solid-state battery, determining a pressure distribution standard deviation value based on the measured pressure distribution, and comparing the pressure distribution standard deviation value with a predetermined reference value. The device further comprises a memory device configured to store data and algorithms executed by the processor.

[0031] The pressure distribution standard deviation value, which is determined based on the pressure distribution measured immediately after mounting a pressurizing device on the all-solid-state battery, can be compared with the predetermined reference value.

[0032] The pressure distribution standard deviation value, which is determined based on the pressure distribution measured during a charging period in which a state of charge (SOC) of the all-solid-state battery increases from about 50% to about 100%, may be compared with the predetermined reference value.

[0033] The pressure distribution standard deviation value determined based on the pressure distribution measured during a discharge period in which a state of charge (SOC) of the all-solid-state battery decreases from about 50% to about 0% may be compared with a predetermined reference value.

[0034] The processor may be configured to determine (e.g., determine, set) the predetermined reference value (which, for example, corresponds to the pressure distribution standard deviation value determined based on the pressure distribution immediately after the pressurizing device is mounted) based on a pressure value applied to a battery cell of the solid-state battery and a size of the battery cell.

[0035] The processor may be configured to determine (e.g., determine, set) the predetermined reference value (which, for example, corresponds to the pressure distribution standard deviation value determined based on the pressure distribution during the charging period) based on a pressure value exerted on a battery cell of the solid-state battery and a size of the battery cell.

[0036] The processor may be configured to determine (e.g., determine, set) the predetermined reference value (which, for example, corresponds to the pressure distribution standard deviation value determined based on the pressure distribution during the discharge period) based on a pressure value exerted on a battery cell of the solid-state battery and a size of the battery cell.

[0037] In some embodiments, a solid-state battery defect detection system is provided. The system includes a surface pressure sensor configured to measure a pressure distribution of a solid-state battery, and a solid-state battery defect detection device configured to detect a defect in a solid-state battery by: measuring a pressure distribution of the solid-state battery, determining a pressure distribution standard deviation value based on the measured pressure distribution, and comparing the pressure distribution standard deviation value with a predetermined reference value.

[0038] The surface pressure sensor can be configured to measure a pressure distribution of a positive electrode of the solid-state battery.

[0039] The surface pressure sensor may be configured to be arranged between a pressurizing device and the solid-state battery.

[0040] The all-solid-state battery defect detection device may be configured to detect a defect in the all-solid-state battery by comparing the pressure distribution standard deviation value, which is determined based on the pressure distribution measured immediately after mounting a pressurizing device on the all-solid-state battery, with a predetermined reference value.

[0041] The all-solid-state battery defect detection device may be configured to detect a defect in the all-solid-state battery by comparing the pressure distribution standard deviation value, which is determined based on the pressure distribution measured during a charging period in which a state of charge (SOC) of the all-solid-state battery increases from about 50% to about 100%, with a predetermined reference value.

[0042] The all-solid-state battery defect detection device may be configured to detect a defect in the all-solid-state battery by comparing the pressure distribution standard deviation value, which is determined based on the pressure distribution measured during a discharge period in which a state of charge (SOC) of the all-solid-state battery decreases from about 50% to about 0%, with a predetermined reference value.

[0043] In some embodiments, a solid-state battery defect detection method is provided. The method includes measuring a pressure distribution of the solid-state battery, determining a pressure distribution standard deviation value based on the measured pressure distribution, and comparing the pressure distribution standard deviation value with a predetermined reference value.

[0044] The pressure distribution standard deviation value, which is determined based on the pressure distribution measured immediately after mounting a pressurizing device on the all-solid-state battery, can be compared with the predetermined reference value.

[0045] The pressure distribution standard deviation value, which is determined based on the pressure distribution measured during a charging period in which a state of charge (SOC) of the all-solid-state battery increases from about 50% to about 100%, may be compared with the predetermined reference value.

[0046] The pressure distribution standard deviation value determined based on the pressure distribution measured during a discharge period in which a state of charge (SOC) of the all-solid-state battery decreases from about 50% to about 0% may be compared with the predetermined reference value.

[0047] The method may further comprise determining that the all-solid-state battery is defective when the pressure distribution standard deviation value (e.g., the pressure distribution standard deviation value determined based on the pressure distribution immediately after the pressurizing device is mounted) is smaller than the predetermined (e.g., corresponding) reference value.

[0048] The method may further comprise determining that the solid-state battery is defective when the pressure distribution standard deviation value (e.g., the pressure distribution standard deviation value determined based on the pressure distribution during the charging period) is smaller than the predetermined (e.g., associated) reference value.

[0049] The method may further comprise determining that the solid-state battery is defective when the pressure distribution standard deviation value (e.g., the pressure distribution standard deviation value determined based on the pressure distribution during the discharge period) is smaller than the predetermined (e.g., associated) reference value.

[0050] In addition, numerous effects that can be identified directly or indirectly through this document can be provided.

[0051] As described, the method and system expediently comprise the use of a controller or a processor. Short description of the drawings Fig. 1 is a block diagram showing an example configuration of a solid-state battery defect detection system including a solid-state battery defect detection device. Fig. 2 is a view for describing an exemplary pressure measurement point for detecting a defect in a solid-state battery. Fig. Figure 3 shows an exemplary pressure distribution for each pressure measurement point for detecting a defect in a solid-state battery. Fig. Figure 4 shows an example pressure distribution for each battery SOC. Fig. Figure 5 shows a schematic view of an exemplary pressurization of a solid-state battery. Fig. Figure 6 shows a flowchart showing an example of a solid-state battery defect detection method. Fig. 7A and Fig. 7B each illustrates a view for describing an exemplary lifetime of a battery cell when detecting a defect using a pressure distribution. Fig. Figure 8 shows an example of a computer system. Detailed description of exemplary embodiments

[0052] Hereinafter, some embodiments of the present disclosure will be described in detail with reference to the exemplary drawings. When adding reference numerals to the components of each drawing, it should be noted that, wherever possible, the same components may be provided with the same reference numerals even if they are shown in different drawings. When describing an exemplary embodiment, if it is determined that a detailed description of well-known features or functions associated with the exemplary embodiment may unnecessarily obscure the gist of the present disclosure, it may be omitted.

[0053] When describing components of an exemplary embodiment, the terms "first," "second," "A," "B," "(a)," "(b)," and the like may be used. These terms are used only to distinguish the components from other components, and the type, order, or ranking of the components is not limited by these terms. Furthermore, all terms used herein, including technical or scientific terms, have the same meanings as those commonly understood by those skilled in the art to which an exemplary embodiment of the present disclosure relates (those skilled in the art), unless otherwise defined.Terms defined in a commonly used dictionary shall be construed to have a meaning consistent with that in the context of a related technical field, and shall not be construed to have an idealized or overly formal meaning unless clearly defined in the present specification.

[0054] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular forms "a," "an," and "the," as used herein, are intended to include the plural forms, unless the context clearly indicates otherwise. These terms are used only to distinguish one component from another, and the terms do not limit the nature, order, or priority of the individual components. Further, it is to be understood that the terms "comprise" and / or "comprising," when used in this specification, specify the presence of stated features, integers, steps, acts, elements, and / or groups thereof, but do not preclude the presence or addition of one or more features, integers, steps, acts, elements, and / or groups thereof.As used herein, the term "and / or" includes any and all combinations of one or more of the associated enumerated items. Unless expressly described otherwise, the word "comprise" and variations such as "comprises" or "comprising" are intended to mean the inclusion of the recited elements, but not the exclusion of others. Furthermore, the terms "unit," "-er," "-or," and "module" described in this specification mean units for processing at least one function and operation, and these may be implemented using hardware components or software components, and combinations thereof.

[0055] Although an exemplary embodiment is described as utilizing a plurality of units to perform the exemplary operations, it is understood that the exemplary operations may also be performed by a single module or a plurality of modules. Additionally, it is understood that the term controller / controller refers to a hardware device including a memory and a processor. The memory is configured to store the modules, and the processor is specifically configured to execute the modules to perform one or more operations described below.

[0056] Furthermore, control logic of the present invention may be embodied as non-transitory, computer-readable media on a computer-readable medium (e.g., data carrier) containing executable program instructions that are executed by a processor, a controller / control unit, or the like. Examples of the computer-readable medium include, but are not limited to, read-only memory (ROM), random access memory (RAM), compact disk (CD-ROM), magnetic tape, floppy disks, flash memory, chip cards (e.g., smart cards, memory cards), and optical data storage devices. The computer-readable recording medium may also be distributed in network-connected computer systems so that the computer-readable media are stored and executed in a distributed manner, e.g.,by means of a telematics server or a controller area network (also called control unit network or “Controller Area Network”, CAN for short).

[0057] Unless specifically stated or obvious from the context (e.g., nothing to the contrary is specifically stated or obvious from the context), the term "about" (or "approximately") as used herein should be understood as within a normal engineering tolerance, e.g., within 2 standard deviations of the mean. "About" (or "approximately") can be understood as within 10%, 9%, 8%, 7%, 6%, 5%, 4%, 3%, 2%, 1%, 0.5%, 0.1%, 0.05%, or 0.01% of the stated value. Unless the context otherwise indicates, all numerical values ​​provided herein are modified by the term "about."

[0058] Below, numerous exemplary embodiments of the present disclosure are described with reference to the Fig. 1 to Fig. 8 described in detail.

[0059] Fig. 1 is a block diagram showing an example configuration of a solid-state battery defect detection system including a solid-state battery defect detection device.

[0060] According to Fig. 1, the solid-state battery defect detection system according to an exemplary embodiment of the present disclosure may include a solid-state battery defect detection device 100 and a surface pressure sensor 200.

[0061] The all-solid-state battery defect detection device 100 according to the present disclosure may be formed integrally with a all-solid-state battery (e.g., as a unit therewith, integrated therein), may be implemented as a separate hardware device connected to the all-solid-state battery by a connecting means, and may also be installed and attached to the all-solid-state battery.

[0062] The all-solid-state battery defect detection device 100 can detect a defect in an all-solid-state battery by obtaining a pressure distribution of the all-solid-state battery immediately after mounting (e.g., attaching) a pressurizing device, at the end of charging the all-solid-state battery, and at the end of discharging the all-solid-state battery. In this case, "immediately after mounting the pressurizing device" indicates a case where the pressurizing device is mounted (e.g., attached), but pressure has not yet been applied. The end of charging refers to a time point at which charging of the all-solid-state battery starts (or, e.g., has started) and is almost completed, and refers to a period (e.g., time) in which the state of charge of the all-solid-state battery increases from 50% to 100%.The end of discharge refers to a period in which the depth of discharge (DOD) of the solid-state battery decreases from 50% to 0% (e.g., the SOC decreases from 50% to 0%, with DOD between 0% and 50%), as a point in time at which the discharge is almost complete.

[0063] The solid-state battery defect detection device 100 may include a communication device 110, a storage device 120, an interface device 130, and a processor 140. According to an exemplary embodiment of the present disclosure, the solid-state battery defect detection device 100 may be implemented as a single unit by connecting components together, and some components may be omitted.

[0064] The communication device 110 may be a hardware device implemented with numerous electronic circuits to send and receive signals via a wireless or wired connection, and may receive a detection result by communicating with the surface pressure sensor 200, etc.

[0065] In addition, the communication device 110 can transmit a defect detection result of the all-solid-state battery to an external server, etc. as a result of the pressure distribution of the all-solid-state battery by communicating with an external server through a mobile communication technology, a wireless Internet access, or a short-range communication technology.

[0066] The wireless Internet communication may include wireless LAN (WLAN), Wi-Fi (= "Wireless Fidelity"), Wi-Fi Direct, DLNA (= "Digital Living Network Alliance"), wireless broadband (WiBro), WiMAX (= "World Interoperability for Microwave Access"), HSDPA (= "High Speed ​​Downlink Packet Access"), HSUPA (= "High Speed ​​Uplink Packet Access"), LTE (= "Long Term Evolution"), LTE-Advanced (LTE-A), or the like. Furthermore, the short-range communication technology may include Bluetooth, ZigBee, ultra-wideband (UWB), radio frequency identification (RFID), infrared data transmission (IrDA), and the like.

[0067] Mobile communication technology may include technical standards, communication methods for mobile communication, and the like, for example, a Global System for Mobile Communication (GSM), Code Division Multi Access (CDMA), CDMA 2000, EV-DO (= Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), Wideband CDMA (WCDMA), HSDPA, HSUPA, LTE, LTE-A, 4th Generation (4G) telecommunications, 5th Generation (5G) telecommunications.

[0068] The storage device 120 may store sensor data of the surface pressure sensor 200 and data and / or algorithms required for the operation of the processor 140, and the like.

[0069] For example, the storage device 120 can store a reference value for comparison with a standard deviation of the pressure distribution. This reference value can be predetermined and stored based on experimental values.

[0070] The storage device 120 may include a storage medium of at least one of a variety of storage types, such as a flash memory, a hard disk memory, a micro memory, and a card memory (e.g., an SD card (SD = Secure Digital) or an XD card (XD = eXtreme Digital)), a RAM (random access memory), an SRAM (static RAM), a ROM (read-only memory), a PROM (programmable read-only memory), an EEPROM (electronically erasable PROM), an MRAM (magnetic RAM), a magnetic disk, and an optical disk.

[0071] The interface device 130 may include an input means for receiving a control command from a user and an output means for outputting an operating state of the device 100 and its results. The input means may include a button, a mouse, a joystick, a jog shuttle, a stylus, and the like. Furthermore, the input means may include a softkey implemented on the display.

[0072] The output device may include a display device and also a voice output means such as a speaker. Here, the display device may function as a touch screen in response to a touch sensor formed of a touch-sensitive film, a touch-sensitive layer, or a touch-sensitive panel being provided on the display device, and may be implemented in a configuration in which an input device and an output device are integrated. In the present disclosure, the output means may output a defect detection result of an all-solid-state battery, etc.

[0073] In the present case, the display device may comprise at least one of a liquid crystal display (LCD), a thin film transistor liquid crystal display (TFT LCD), an organic light emitting diode (OLED) display, a flexible display, a field emission display (FED), a 3D display, or any combination thereof.

[0074] The processor 140 may be electrically connected to the communication device 110, the storage device 120, the interface device 130, and the like, may electrically control each component, and may be an electrical circuit that executes software instructions and thereby performs various data processing and calculations, which are described below.

[0075] The processor 140 can perform overall control so that each component can perform its functions normally by processing a signal transmitted between each component of the solid-state battery defect detection device 100. The processor 140 can be implemented in hardware, software, or a combination of hardware and software. For example, the processor 140 can be implemented as a microprocessor, but the present disclosure is not limited thereto.

[0076] The processor 140 may detect a defect in the solid-state battery by using a pressure distribution measurement of the solid-state battery at the end of charging and discharging the solid-state battery immediately after mounting the pressurizing device on the solid-state battery.

[0077] In order to continuously apply a uniform pressure to the solid-state battery, the processor 140 may detect a defect of the solid-state battery by comparing a measured pressure distribution standard deviation value immediately after the pressurization device is mounted, ie, before the start of pressurization, with a predetermined reference value.

[0078] That is, the processor 140 may compare the pressure distribution standard deviation value measured immediately after mounting the pressurizing device on the all-solid-state battery with the predetermined reference value, and determine that the all-solid-state battery is defective in response to a case where the pressure distribution standard deviation value measured at the end of charging the all-solid-state battery is smaller than the predetermined reference value.

[0079] The processor 140 may detect a defect in the solid-state battery by comparing the pressure distribution standard deviation value measured at the end of charging the solid-state battery with the predetermined reference value.

[0080] That is, the processor 140 may compare the pressure distribution standard deviation value measured immediately at the end of charging the all-solid-state battery with the predetermined reference value, and determine that the all-solid-state battery is defective in response to a case where the pressure distribution standard deviation value measured at the end of charging the all-solid-state battery is smaller than the predetermined reference value.

[0081] The processor 140 may detect a defect in the solid-state battery by comparing the pressure distribution standard deviation value measured at the end of discharging the solid-state battery with the predetermined reference value.

[0082] That is, the processor 140 may compare the pressure distribution standard deviation value measured immediately at the end of discharging the all-solid-state battery with the predetermined reference value, and determine that the all-solid-state battery is defective in response to a case where the pressure distribution standard deviation value measured at the end of discharging the all-solid-state battery is smaller than the predetermined reference value.

[0083] In this case, the end of charging of the solid-state battery refers to a state in which charging (e.g., the charging process) of the solid-state battery begins (or, for example, has begun) and the state of charge (SOC) of the solid-state battery reaches a predetermined reference value. Furthermore, the end of discharging of the solid-state battery refers to a state in which discharging of the solid-state battery begins (or, for example, has begun) and the depth of discharge (DOD) reaches a predetermined reference value.

[0084] The processor 140 may determine (e.g., ascertain, set) the predetermined reference value depending on the pressure value exerted on a battery cell of the solid-state battery and the size of the battery cell.

[0085] The surface pressure sensor 200 can measure a pressure distribution at a positive electrode or a negative electrode of the all-solid-state battery. The present disclosure discloses an example of measuring the pressure distribution of the positive electrode of the all-solid-state battery, but is not limited thereto.

[0086] For this purpose, a surface pressure sensor may be provided at an upper portion of the positive electrode of the solid-state battery, which will be described later with reference to Fig. 5 is described in detail.

[0087] Thus, according to the present disclosure, it is possible to detect a defect in the all-solid-state battery based on the pressure distribution in the all-solid-state battery. However, a common technique for detecting a defect in the all-solid-state battery is to use the open circuit voltage (OCV), and a method for detecting a defect in the all-solid-state battery using the open circuit voltage and a method for detecting a defect in the all-solid-state battery using the pressure distribution according to the present disclosure can be used together to detect a defect in the all-solid-state battery, thereby improving the defect detection accuracy.

[0088] Fig. 2 is a view for describing an exemplary pressure measurement point for detecting a defect in an all-solid-state battery, and Fig. Figure 3 shows an exemplary pressure distribution for each pressure measurement point for detecting a defect in a solid-state battery.

[0089] Referring to Fig. 2, in the present disclosure, the pressure of the all-solid-state battery can be measured 1 immediately after mounting the pressurizing device, 2 at the end of charging the all-solid-state battery, and 3 at the end of discharging the all-solid-state battery.

[0090] In response to a case where a defect in the all-solid-state battery is detected immediately after the pressurization device is installed, the defect inspection can be performed even without applying a current to battery cells, thereby increasing the delivery of good battery cells per hour. Furthermore, the activation of the charging and discharging processes takes a long time, so the defect detection efficiency can be increased by detecting a defect in the all-solid-state battery in advance based on the pressure distribution before activation. Accordingly, the pressure for detecting a defect in the all-solid-state battery is measured immediately after the pressurization device is installed. A view 301 of Fig. Figure 3 shows the pressure distribution of the solid-state battery immediately after installation of the pressurization device.

[0091] In addition, at the end of charging the all-solid-state battery, oxidative decomposition of an electrolyte actively occurs at an interface of the positive electrode, and reductive decomposition of an electrolyte actively occurs at an interface of the negative electrode, so that side reactants are generated at each of the interfaces. The extent of this reaction varies depending on the resistance of the interfaces, and the difference in pressure distribution due to volume contraction and expansion at the locations where a main reaction and a side reaction occur is significant. Accordingly, it is necessary to detect a defect in the all-solid-state battery by measuring the pressure at the end of charging the all-solid-state battery. In this case, the main reaction at the end of charging the all-solid-state battery may include the deintercalation of lithium (Li) from the positive electrode and the intercalation of lithium (Li) from the negative electrode. A view 302 of Fig. Figure 3 shows the pressure distribution of the solid-state battery when the SOC is 100, i.e. at the end of the charging process.

[0092] In addition, at the end of discharging the solid-state battery, reductive decomposition of the electrolyte can occur at the positive electrode interface, and oxidative decomposition of the electrolyte can occur at the negative electrode interface, generating different side reactants than at the end of charging. Likewise, a difference in pressure distribution, which was not visible at the end of charging, appears significant. In this case, the main reaction at the end of discharging can be the intercalation of lithium (Li) from the positive electrode and the deintercalation of lithium (Li) from the negative electrode. A view 303 of Fig. Figure 3 shows the pressure distribution of the solid-state battery when the depth of discharge (DOD) is 20, i.e., at the end of discharge.

[0093] Fig. Figure 4 shows an example pressure distribution for each battery SOC.

[0094] Referring to Fig. 4, it can be seen that a physical pressure distribution at which no electrochemical reaction occurs, as shown in view 402, occurs immediately after the pressurizing device is mounted. Even if an electrochemical reaction occurs at an SOC (0≤x≤50), the degree of volume expansion or contraction is relatively not serious. View 402 shows the pressure distribution for the case where the SOC is 20.

[0095] At the SOC (50≤x≤100), components forming the positive electrode may be exposed to a relatively high potential, while components forming the negative electrode may be exposed to a relatively low potential. Accordingly, electrochemical reactions actively occur within each electrode or at their interfaces, resulting in volume expansion and contraction, which in turn facilitates the determination of the pressure distribution.

[0096] Since the volume expansion of a cell is greatest at an SOC of 100, the resulting pressure distribution is easiest to observe. View 403 shows the pressure distribution for a SOC of 100.

[0097] Similarly, for DOD (0≤y≤50), the components forming the positive electrode are exposed to a relatively low potential, so an electrochemical reaction occurs at a low voltage, making the pressure distribution easy to determine. View 404 shows the pressure distribution for the case where DOD is 20.

[0098] The reference value can be set differently depending on the magnitude of a force exerted on a battery cell of the solid-state battery and the size of the battery cell.

[0099] Fig. Figure 5 shows a schematic view of an exemplary pressurization of a solid-state battery.

[0100] Referring to Fig. 5, for a surface pressure sensor, a silicon plate 102 is positioned on the pressurizing device 101, an all-solid-state battery is positioned by sequentially stacking a negative electrode 103, a solid electrolyte 104 and a positive electrode 105 on the silicon plate 102, a surface pressure sensor 106 is positioned at an upper portion of the all-solid-state battery, a silicon plate 107 is positioned on the surface pressure sensor 106, and a pressurizing device 108 is positioned at an upper portion of the silicon pad 107, and bolts 109 for mounting (e.g., fastening) the pressurizing devices 101 and 108 are provided or formed. Fig. 5 illustrates a state in which the pressurizing devices 101 and 108 are mounted on the all-solid-state battery.

[0101] Hereinafter, a solid-state battery defect detection method according to an exemplary embodiment of the present disclosure will be described with reference to Fig. 6 described. Fig. Figure 6 is a flowchart showing an exemplary solid-state battery defect detection method.

[0102] In the following, it is assumed that the solid-state battery defect detection device 100 of Fig. 1 the processes of Fig. 6. In addition, the description of Fig. 6, operations described as being performed by a device are understood to be controlled by the processor 140 of the solid-state battery defect detection device 100. In the following exemplary embodiments, the operations of steps S101 to S110 may be performed sequentially, but do not necessarily have to be performed sequentially. For example, the order of the individual operations may be changed, and at least two operations may be performed in parallel.

[0103] Referring to Fig. 6, the all-solid-state battery defect detection apparatus 100 measures the pressure distribution of the positive electrode of the all-solid-state battery using the surface pressure sensor 106 immediately after mounting (e.g., attaching) the pressurizing devices 101 and 108 to the all-solid-state battery (S101).

[0104] Accordingly, the all-solid-state battery defect detection apparatus 100 can determine a standard deviation of the pressure distribution immediately after the mounting of the pressurizing devices 101 and 108. In this case, the all-solid-state battery may include a plurality of battery cells, and the all-solid-state battery defect detection apparatus 100 can determine the standard deviation of the pressure distribution immediately after the mounting of the pressurizing devices 101 and 108 of a predetermined number of battery cells (e.g., 50 battery cells) by obtaining the pressure distribution immediately after the mounting of the pressurizing devices 101 and 108 of the predetermined number of battery cells (e.g., 50 battery cells).

[0105] The all-solid-state battery defect detection device 100 may determine whether the standard deviation of the pressure distribution is smaller than a predetermined reference value immediately after the pressurization devices 101 and 108 are mounted (S102). In this case, the reference value may be predetermined by an experimental value to be stored in the storage device 120.

[0106] In response to a case where the standard deviation of the pressure distribution immediately after the mounting of the pressurizing devices 101 and 108 is greater than or equal to the predetermined reference value, the all-solid-state battery defect detection apparatus 100 may determine that the corresponding battery cells (e.g., 50 battery cells subject to the standard deviation) are defective (S103).

[0107] On the other hand, in response to a case where the standard deviation of the pressure distribution immediately after the pressurizing devices 101 and 108 are mounted is smaller than the predetermined reference value, the all-solid-state battery defect detection device 100 may determine that the corresponding battery cells (e.g., 50 battery cells subject to the standard deviation) are normal (S104).

[0108] Next, the all-solid-state battery defect detection device 100 may measure the pressure distribution and determine the standard deviation of the pressure distribution using the area pressure sensor 106 at the end of the charging process after charging to x SOC (ie, e.g., SOC = x %) of the all-solid-state battery (S105).

[0109] The all-solid-state battery defect detection device 100 may determine whether the standard deviation of the pressure distribution, which is / was measured after charging to x SOC of the all-solid-state battery, is smaller than a predetermined reference value (S106).

[0110] Accordingly, the all-solid-state battery defect detection device 100 may determine that the all-solid-state battery is normal in response to a case where the standard deviation of the pressure distribution measurement measured after charging to x (50≤x≤100) SOC of the all-solid-state battery is smaller than the predetermined reference value (S107), and may determine that the all-solid-state battery is defective in response to a case where the standard deviation of the pressure distribution measured after charging to x SOC of the all-solid-state battery is equal to or greater than the predetermined reference value (S103).

[0111] Next, the all-solid-state battery defect detection apparatus 100 may measure the pressure distribution of the all-solid-state battery after discharging thereof up to (e.g., to and / or around) y (0≤y≤50) DOD of the all-solid-state battery to determine a standard deviation of the pressure distribution (S108).

[0112] The all-solid-state battery defect detection device 100 may determine whether a standard deviation value of the pressure distribution, which is / has been measured after discharging the all-solid-state battery up to (e.g., to and / or around) y (0≤y≤50) DOD (i.e., DOD = y%) of the all-solid-state battery, is smaller than a predetermined reference value (S109).

[0113] Accordingly, the all-solid-state battery defect detection device 100 may determine that the all-solid-state battery is normal when the pressure distribution measured after discharging to (e.g., to and / or around) y (0≤y≤50) DOD of the all-solid-state battery is smaller than the predetermined reference value (S110), and may determine that the all-solid-state battery is defective in response to a case where the standard deviation of the pressure distribution measured after discharging to (e.g., to and / or around) y (0≤y≤50) DOD of the all-solid-state battery is equal to or greater than the predetermined reference value (S103).

[0114] According to the present disclosure, the accuracy for detecting a defect in the all-solid-state battery can be increased by measuring the pressure distribution of the all-solid-state battery three times, namely, for example, immediately after mounting the pressurizing device, at the end of a charging process, and at the end of a discharging process, to detect defects in the all-solid-state battery.

[0115] Fig. 7A and Fig. 7B each illustrates a view for describing an exemplary lifetime of a battery cell when detecting a defect using a pressure distribution.

[0116] Fig. Figure 7A shows the charge retention for each number of cycles. It can be seen that the initial charge retention (also called "charge retention") of battery cells that passed the defect check, i.e., normal battery cells, hardly drops from 100. However, it can be seen that the charge retention of a battery cell that was detected as defective in section 1, a battery cell that was detected as defective in section 2, and a battery cell that was detected as defective in section 3, Fig. 2 decreases with increasing number of cycles to 80. This decrease in charge retention indicates that the service life of the battery cell is decreasing.

[0117] Fig. Figure 7B shows the Coulomb efficiency for each number of cycles. It can be seen that the initial Coulomb efficiency of battery cells that passed the defect check, i.e., normal battery cells, rarely falls below 100. However, it can be seen that the Coulomb efficiency of a battery cell that was detected as defective in section 1, a battery cell that was detected as defective in section 2, and a battery cell that was detected as defective in section 3, Fig. 2 decreases with increasing number of cycles. This decrease in Coulombic efficiency indicates that the battery cell's lifetime is decreasing.

[0118] Fig. Figure 8 shows an example of a computer system.

[0119] Referring to Fig.8, a computer system (e.g., a computing system, a data processing system) 1000 comprises at least one processor 1100 connected via a bus 1200, a memory 1300, a user interface input device 1400, a user interface output device 1500, a (data) storage device (e.g., a mass storage device) 1600, and a network interface 1700.

[0120] Processor 1100 may be a central processing unit (CPU) or a semiconductor device that performs processing of instructions stored in memory 1300 and / or storage device 1600. Memory 1300 and storage device 1600 may, for example, include various types of volatile or non-volatile storage media. For example, memory 1300 may include read-only memory (ROM) 1310 and random access memory (RAM) 1320.

[0121] Accordingly, steps of a method or algorithm described in connection with the exemplary embodiments disclosed herein may be implemented directly by means of hardware, a software module, or a combination of the two executed by processor 1100. The software module may be located on a storage medium (i.e., memory 1300 and / or storage device 1600), such as RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, a register, a hard disk, a removable disk, and a CD-ROM.

[0122] An exemplary storage medium may be connected to processor 1100. Processor 1100 may read information from the storage medium and may write information to the storage medium. Alternatively, the storage medium may be integrated with processor 1100. The processor and the storage medium may be located in an application-specific integrated circuit (ASIC). The ASIC may be provided in a user terminal. Alternatively, the processor and the storage medium may be present as separate components in the user terminal.

[0123] The above description is merely illustrative of the technical idea of ​​the present disclosure, and those skilled in the art to which the present disclosure belongs may make various modifications and variations without departing from the essential characteristics of the present disclosure.

[0124] Therefore, the exemplary embodiments disclosed in the present disclosure are not intended to limit the technical ideas of the present disclosure, but to illustrate them, and the scope of the technical ideas of the present disclosure is not limited by these exemplary embodiments. The scope of the present disclosure should be interpreted by the following claims, and all technical ideas within the range of equivalence should be interpreted as included within the scope of the present disclosure.

Claims

[1] A solid-state battery defect detection device (100), comprising: a processor (140) configured to detect a defect in a solid-state battery using a pressure distribution measurement of the solid-state battery immediately after mounting a pressurizing device (101, 108) on the solid-state battery, a pressure distribution measurement of the solid-state battery at the end of charging, and a pressure distribution measurement of the solid-state battery at the end of discharging the solid-state battery, and a memory device (120) configured to store data and algorithms executed by the processor (140). [2] Solid-state battery defect detection device (100) according to claim 1, wherein the processor (140) is configured to detecting a defect in the solid-state battery by comparing a pressure distribution standard deviation value, which is measured immediately after mounting the pressurizing device (101, 108) on the solid-state battery, with a predetermined reference value. [3] Solid-state battery defect detection device (100) according to claim 1 or 2, wherein the processor (140) is configured to to detect a defect in the solid-state battery by comparing a pressure distribution standard deviation value measured at the end of charging the solid-state battery with a predetermined reference value. [4] The all-solid-state battery defect detection device (100) according to any one of claims 1 to 3, wherein the end of charging of the all-solid-state battery refers to a state in which charging of the all-solid-state battery starts and a state of charge (SOC) of the all-solid-state battery reaches a predetermined reference value. [5] Solid-state battery defect detection device (100) according to one of claims 1 to 4, wherein the processor (140) is configured to to detect a defect in the solid-state battery by comparing a pressure distribution standard deviation value measured at the end of discharging the solid-state battery with a predetermined reference value. [6] The all-solid-state battery defect detection device (100) according to any one of claims 1 to 5, wherein the end of discharging of the all-solid-state battery refers to a state in which discharging of the all-solid-state battery starts and a depth of discharge, DOD for short, reaches a predetermined reference value. [7] Solid-state battery defect detection device (100) according to one of claims 2 to 6, wherein the processor (140) is configured to to determine the predetermined reference value according to a pressure value applied to a battery cell of the solid-state battery and a size of the battery cell. [8] Solid-state battery defect detection system, comprising: a surface pressure sensor (106, 200) which is configured to measure a pressure distribution of a solid-state battery, and a solid-state battery defect detection device (100) configured to detect a defect in a solid-state battery using a pressure distribution measurement of the solid-state battery measured by the surface pressure sensor (106, 200) immediately after mounting a pressurizing device (101, 108) on the solid-state battery, a pressure distribution measurement of the solid-state battery measured by the surface pressure sensor (106, 200) at the end of charging the solid-state battery, and a pressure distribution measurement of the solid-state battery measured by the surface pressure sensor (106, 200) at the end of discharging the solid-state battery. [9] A solid-state battery defect detection system according to claim 8, wherein the surface pressure sensor (106, 200) is designed to to measure a pressure distribution of a positive electrode (105) of the solid-state battery. [10] A solid-state battery defect detection system according to claim 8 or 9, wherein the surface pressure sensor (106, 200) is designed to to be provided between the pressurizing device (101, 108) and the solid-state battery. [11] Solid-state battery defect detection system according to one of claims 8 to 10, wherein the solid-state battery defect detection device (100) is configured to detecting a defect in the solid-state battery by comparing a pressure distribution standard deviation value, which is measured immediately after mounting the pressurizing device (101, 108) on the solid-state battery, with a predetermined reference value. [12] Solid-state battery defect detection system according to one of claims 8 to 11, wherein the solid-state battery defect detection device (100) is configured to to detect a defect in the solid-state battery by comparing a pressure distribution standard deviation value measured at the end of charging the solid-state battery with a predetermined reference value. [13] Solid-state battery defect detection system according to one of claims 8 to 12, wherein the solid-state battery defect detection device (100) is configured to to detect a defect in the solid-state battery by comparing a pressure distribution standard deviation value measured at the end of discharging the solid-state battery with a predetermined reference value. [14] Solid-state battery defect detection method, comprising: Detecting (S102) a defect in a solid-state battery using a pressure distribution measurement of the solid-state battery immediately after mounting a pressurizing device (101, 108) on the solid-state battery, Detecting (S106) a defect in the solid-state battery using a pressure distribution measurement of the solid-state battery at one end of charging the solid-state battery, and Detecting (S109) a defect in the solid-state battery using a pressure distribution measurement of the solid-state battery at one end of discharging the solid-state battery. [15] The all-solid-state battery defect detection method according to claim 14, wherein detecting the defect in the all-solid-state battery using the pressure distribution measurement of the all-solid-state battery immediately after mounting the pressurizing device (101, 108) on the all-solid-state battery comprises: Comparing a pressure distribution standard deviation value measured immediately after mounting the pressurizing device (101, 108) on the solid-state battery with a predetermined reference value, and Determining that the all-solid-state battery is defective in response to a case where the pressure distribution standard deviation value measured immediately after mounting the pressurizing device (101, 108) on the all-solid-state battery is smaller than the predetermined reference value. [16] The all-solid-state battery defect detection method according to claim 14 or 15, wherein detecting the defect in the all-solid-state battery using the pressure distribution measurement of the all-solid-state battery at the end of charging the all-solid-state battery comprises: Comparing the pressure distribution standard deviation value measured at the end of charging the solid-state battery with a predetermined reference value, and Determining that the all-solid-state battery is defective in response to a case where the pressure distribution standard deviation value measured at the end of charging the all-solid-state battery is smaller than the predetermined reference value. [17] The all-solid-state battery defect detection method according to any one of claims 14 to 16, wherein detecting the defect in the all-solid-state battery using the pressure distribution measurement of the all-solid-state battery at the end of discharging the all-solid-state battery comprises: Comparing the pressure distribution standard deviation value measured at the end of discharging the solid-state battery with a predetermined reference value, and Determining that the all-solid-state battery is defective in response to a case where the pressure distribution standard deviation value measured at the end of discharging the all-solid-state battery is smaller than the predetermined reference value. [18] The all-solid-state battery defect detection method according to any one of claims 14 to 17, wherein the end of charging of the all-solid-state battery refers to a state in which charging of the all-solid-state battery starts and a state of charge (SOC) of the all-solid-state battery reaches a predetermined reference value. [19] The all-solid-state battery defect detection method according to any one of claims 14 to 18, wherein the end of discharging of the all-solid-state battery refers to a state in which discharging of the all-solid-state battery starts and a depth of discharge, DOD for short, reaches a predetermined reference value. [20] A solid-state battery defect detection method according to any one of claims 15 to 18, further comprising: Determining the predetermined reference value according to a pressure value exerted on a battery cell of the solid-state battery and a size of the battery cell.