All-solid-state battery degradation detection and control system

Abstract

The invention discloses an all-solid-state battery degradation detection and control system, which is characterized in that a detection unit is directly arranged in a battery unit or in a near-field region, so that real-time in-situ capture of parameters such as ionic conductivity, interface resistance and expansion rate is realized, and the limitation of signal attenuation and insufficient spatial resolution of an external sensor is solved; the control unit performs parallel judgment on multiple types of parameters based on a preset current limiting condition, a current limiting instruction is generated immediately when any parameter exceeds the limit, and a coverage blind area of a single parameter criterion is broken through; the execution unit responds to the instruction to dynamically adjust the charging current, and a closed-loop link of embedded monitoring-multi-parameter judgment-current regulation and control is formed. The structure inhibits the chain reaction of interface resistance rise and deformation expansion from the physical level, and the cycle stability of the battery is remarkably improved.

Description

Technical Field

[0001] This application relates to the field of battery measurement and control, and in particular to a detection and control system for the degradation of all-solid-state batteries. Background Technology

[0002] In the field of all-solid-state battery technology, the physical state changes of the positive electrode-electrolyte interface and the negative electrode-electrolyte interface during repeated charge-discharge cycles cause the interface resistance to rise continuously, which in turn leads to battery capacity decay and output power reduction.

[0003] In some feasible implementations, degradation monitoring methods typically rely on external sensors or periodic disassembly and inspection. Such methods have the following limitations: First, the monitoring dimensions are limited. External sensors can only capture physical parameters on the battery surface (such as casing deformation), making it difficult to achieve in-situ monitoring of the interface resistance distribution and micro-expansion state inside the solid electrolyte layer. Second, the response time is insufficient. Offline analysis based on periodic detection cannot dynamically capture instantaneous degradation signals during the charging and discharging process (such as resistance changes caused by interface peeling), resulting in lag in control commands. Moreover, it is relatively sensitive to environmental interference. For example, the interface degradation process accelerates under high temperature conditions, while conventional threshold control strategies lack temperature adaptive mechanisms, which can easily lead to misjudgments or missed judgments.

[0004] While some implementations have attempted to integrate detection circuits external to the battery cell, signal attenuation occurs during transmission due to the physical isolation between the sensor and the electrolyte layer, and the independent contributions of positive / negative electrode interface degradation cannot be distinguished. Furthermore, control strategies often employ single-parameter threshold judgments, which are ill-suited to complex degradation scenarios involving multiple intertwined factors. Therefore, there is an urgent need for an all-solid-state battery capable of embedded real-time monitoring and supporting multi-parameter collaborative control, along with related degradation detection and control methods and systems, to address these issues. Summary of the Invention

[0005] This application provides a solid-state battery degradation detection and control system to address the problem of insufficient effectiveness in degradation detection and treatment.

[0006] In a first aspect, this application provides a solid-state battery degradation detection and control system, including: A battery cell includes a positive electrode active material layer, a solid electrolyte layer, and a negative electrode active material layer, wherein the positive electrode active material layer, the solid electrolyte layer, and the negative electrode active material layer are stacked sequentially. A detection unit is installed inside the battery cell or at a distance not exceeding a preset distance threshold from the battery cell, for real-time acquisition of at least one of the parameters of ionic conductivity, interface resistance, or expansion rate of the battery cell. The control unit connected to the detection unit is configured to generate a current limiting command when any one of the ionic conductivity, the interface resistance, or the expansion rate parameter exceeds a preset current limit condition. An execution unit connected to the control unit is used to reduce the charging current according to the current limiting command.

[0007] As an optional implementation, the control unit includes: The calculation module is used to calculate the numerical relationship between any one of the ionic conductivity, the interface resistance, or the expansion rate parameter and the preset current limit condition; The determination module is used to determine the corresponding level of the current limiting command based on the numerical relationship.

[0008] As an optional implementation, the positive electrode active material layer includes NCM811 material, the solid electrolyte layer includes sulfide material, the negative electrode active material layer includes lithium-indium alloy material, the detection unit includes a MEMS sensor, and the control unit includes an FPGA unit.

[0009] Secondly, this application provides a method for detecting and controlling the degradation of all-solid-state batteries, applied to the system described in the first aspect, comprising: The detection unit continuously acquires at least one of the following parameters of the battery cell: ionic conductivity, interfacial resistance, or expansion rate. The interface resistance includes a first interface resistance parameter between the solid electrolyte layer and the positive electrode active material layer and a second interface resistance parameter between the solid electrolyte layer and the negative electrode active material layer. When any one of the ionic conductivity, the interface resistance, or the expansion rate exceeds a preset current limit, a current limit command is generated. In response to the current limiting command, the charging current is adjusted to a fixed value that is a preset proportion of the original current value or the charging current is cut off.

[0010] As an optional implementation, the process of generating the current limiting command includes: Calculate the product of the real-time rate of change of the interface resistance and the real-time rate of change of the expansion coefficient parameter. When the product value exceeds a first threshold and persists for a first time period, a current cutoff command is generated. A current reduction command is generated when only the real-time rate of change of the interface resistance exceeds the second threshold, or when only the real-time rate of change of the expansion rate parameter exceeds the third threshold.

[0011] As an optional implementation, the current reduction command includes: In the first stage, the charging current is adjusted to a first proportion of its original value and maintained for a second time period. In the second stage, if the interface resistance is not adjusted to the expected resistance range within the second time period, the charging current is further adjusted to a second ratio lower than the first ratio, or the charging current is cut off.

[0012] As an optional implementation, the expansion ratio parameter can be obtained in the following ways: Obtain multiple expansion rate parameters corresponding to the preset detection nodes, and calculate the standard deviation of each expansion rate parameter; When any of the expansion rate parameters exceeds the deformation anomaly threshold, or the standard deviation exceeds the deformation uniformity threshold, the battery cell is marked as being in a deformation anomaly state.

[0013] Thirdly, this application provides a device for detecting and controlling the degradation of all-solid-state batteries, applied to the system described in the first aspect, comprising: The acquisition module is used to continuously acquire at least one of the following parameters of battery cell: ionic conductivity, interface resistance, or expansion rate, through the detection unit. The interface resistance includes a first interface resistance parameter between the solid electrolyte layer and the positive electrode active material layer and a second interface resistance parameter between the solid electrolyte layer and the negative electrode active material layer. The processing module is used to generate a current limiting command when any one of the ionic conductivity, the interface resistance, or the expansion rate parameter exceeds a preset current limit condition. The processing module is also configured to, in response to the current limiting command, adjust the charging current to a fixed value that is a preset proportion of the original current value or cut off the charging current.

[0014] Fourthly, this application provides a computer device including one or more processors and a memory storing computer-readable instructions that, when executed by the one or more processors, perform the steps of the second aspect.

[0015] Fifthly, this application provides a storage medium, characterized in that the storage medium stores computer-readable instructions, which, when executed by one or more processors, cause one or more processors to perform the steps of the second aspect.

[0016] The all-solid-state battery degradation detection and control system provided in this application, at the sensing layer, uses MEMS sensors embedded inside the battery cells to directly capture dual-interface resistance and expansion rate parameters, eliminating signal transmission loss and providing a high-fidelity degradation data source; the material combination of sulfide electrolyte and lithium indium anode physically suppresses basic degradation. At the decision layer, the FPGA control unit implements a multi-parameter parallel judgment and graded response mechanism, initiating fuse protection for complex degradation and performing progressive control for independent parameter anomalies, solving the misjudgment problem of traditional single threshold strategies. At the execution layer, a staged current adjustment strategy reserves a time window for battery self-repair, upgrading the protection strength only during continuous degradation, balancing system availability and safety. In addition, the distributed characteristic values ​​generated by multi-node deformation monitoring enable early location of local mechanical failures. The entire solution forms a four-dimensional optimization system of "materials-sensing-decision-execution," synergistically improving the reliability boundary of all-solid-state batteries from three dimensions: source suppression, process interruption, and local protection. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0018] Figure 1 This is a schematic diagram of the architecture of an all-solid-state battery degradation detection and control system disclosed in an embodiment of this application; Figure 2 This is a schematic diagram of the sensor configuration of an all-solid-state battery degradation detection and control system disclosed in an embodiment of this application; Figure 3 This is a schematic flowchart of a method for detecting and controlling the degradation of an all-solid-state battery disclosed in an embodiment of this application; Figure 4 This is a schematic diagram showing the relationship between temperature and battery expansion rate in a method for detecting and controlling the degradation of an all-solid-state battery disclosed in an embodiment of this application. Figure 5 This is a schematic diagram showing the relationship between the number of cycles and the interface resistance in a method for detecting and controlling the degradation of an all-solid-state battery disclosed in an embodiment of this application. Figure 6 This application provides a schematic diagram of the internal structure of a computer device according to an embodiment of the present application. The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept of this application in any way, but rather to illustrate the concept of this application to those skilled in the art by referring to specific embodiments. Detailed Implementation

[0019] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0020] In the field of all-solid-state battery technology, the physical state changes of the positive electrode-electrolyte interface and the negative electrode-electrolyte interface during repeated charge-discharge cycles cause the interface resistance to rise continuously, which in turn leads to battery capacity decay and output power reduction.

[0021] In some feasible implementations, degradation monitoring methods typically rely on external sensors or periodic disassembly and inspection. Such methods have the following limitations: First, the monitoring dimensions are limited. External sensors can only capture physical parameters on the battery surface (such as casing deformation), making it difficult to achieve in-situ monitoring of the interface resistance distribution and micro-expansion state inside the solid electrolyte layer. Second, the response time is insufficient. Offline analysis based on periodic detection cannot dynamically capture instantaneous degradation signals during the charging and discharging process (such as resistance changes caused by interface peeling), resulting in lag in control commands. Moreover, it is relatively sensitive to environmental interference. For example, the interface degradation process accelerates under high temperature conditions, while conventional threshold control strategies lack temperature adaptive mechanisms, which can easily lead to misjudgments or missed judgments.

[0022] While some implementations have attempted to integrate detection circuits external to the battery cell, signal attenuation occurs during transmission due to the physical isolation between the sensor and the electrolyte layer, and the independent contributions of positive / negative electrode interface degradation cannot be distinguished. Furthermore, control strategies often employ single-parameter threshold judgments, which are ill-suited to complex degradation scenarios involving multiple intertwined factors. Therefore, there is an urgent need for an all-solid-state battery capable of embedded real-time monitoring and supporting multi-parameter collaborative control, along with related degradation detection and control methods and systems, to address these issues.

[0023] In summary, the technical concept of this application lies in the following: At the sensing layer, MEMS sensors are embedded inside the battery cells to directly capture dual-interface resistance and expansion rate parameters, eliminating signal transmission loss and providing a high-fidelity degradation data source; the material combination of sulfide electrolyte and lithium indium anode suppresses basic degradation from a physical perspective. At the decision layer, the FPGA control unit implements a multi-parameter parallel judgment and graded response mechanism, initiating fuse protection for complex degradation and performing progressive regulation for independent parameter anomalies, solving the misjudgment problem of traditional single threshold strategies. At the execution layer, a staged current adjustment strategy reserves a time window for battery self-repair, upgrading the protection strength only during continuous degradation, balancing system availability and safety. In addition, the distributed characteristic values ​​generated by multi-node deformation monitoring enable early location of local mechanical failures. The entire solution forms a four-dimensional optimization system of "materials-sensing-decision-execution," synergistically improving the reliability boundary of all-solid-state batteries from three dimensions: source suppression, process interruption, and local protection.

[0024] Please see Figure 1 , Figure 1 This is a schematic diagram of the architecture of an all-solid-state battery degradation detection and control system disclosed in an embodiment of this application. Figure 1 As shown, this application provides a solid-state battery degradation detection and control system, including: A battery cell includes a positive electrode active material layer, a solid electrolyte layer, and a negative electrode active material layer, wherein the positive electrode active material layer, the solid electrolyte layer, and the negative electrode active material layer are stacked sequentially. A detection unit is installed inside the battery cell or at a distance not exceeding a preset distance threshold from the battery cell, for real-time acquisition of at least one of the parameters of ionic conductivity, interface resistance, or expansion rate of the battery cell. The control unit connected to the detection unit is configured to generate a current limiting command when any one of the ionic conductivity, the interface resistance, or the expansion rate parameter exceeds a preset current limit condition. An execution unit connected to the control unit is used to reduce the charging current according to the current limiting command.

[0025] like Figure 1 As shown, Figure 1 This demonstration showcases the stacked structure and signal transmission path of an all-solid-state battery module. The core of the battery unit consists of a positive electrode active material layer, a solid electrolyte layer, and a negative electrode active material layer stacked sequentially, with the solid electrolyte layer acting as an ion-conducting medium in direct contact with the electrodes on both sides. The detection unit is embedded within the solid electrolyte layer (not surface-attached) and connected to the signal receiving port of the control unit via wires. The control unit integrates a threshold determination module, and its output is connected to the current regulation circuit of the execution unit. The execution unit outputs control signals externally through an I / O interface.

[0026] In terms of spatial arrangement, the detection unit can be located at the intersection of the positive / electrolyte and negative / electrolyte interfaces, enabling simultaneous acquisition of parameters from both interfaces. For the signal link, sensor signals are transmitted via shielded wires to avoid signal distortion caused by electromagnetic interference. The I / O interface simultaneously receives external commands and provides feedback on battery status, forming a bidirectional communication channel.

[0027] Figure 2 This is a schematic diagram of the sensor configuration for a solid-state battery degradation detection and control system disclosed in an embodiment of this application. It shows the vertical cross-section of the battery cell and clearly indicates the positional relationship of the degradation detection sensor embedded within the solid electrolyte layer, i.e., the detection unit. The sensor is arranged close to the negative electrode side, and its structural design facilitates detection of changes in the interface.

[0028] Regarding the embedded configuration of the detection unit within the battery cell, the MEMS sensor can be embedded within the solid electrolyte layer with a thickness of 20μm. Its sensing element maintains a certain distance from both the interfaces of the negative and positive electrode active material layers. The sensor surface is covered with an insulating encapsulation layer to prevent electrochemical reactions with the electrolyte material. The detection probe may include: a resistance measuring plate employing an interdigitated electrode structure to acquire interface resistance in real time using impedance spectroscopy; a deformation sensing unit based on a microbeam array using the piezoresistive principle to monitor the expansion and deformation of the electrolyte layer; and a temperature compensation circuit integrating a thermocouple to eliminate temperature drift errors. This embedded design eliminates signal attenuation caused by the encapsulation shell of traditional external sensors, enabling in-situ capture of microscopic changes at the interface.

[0029] This implementation directly places the detection unit inside the battery cell or in the near-field region, enabling real-time in-situ capture of parameters such as ionic conductivity, interface resistance, and expansion rate. This overcomes the limitations of external sensor signal attenuation and insufficient spatial resolution. The control unit performs parallel judgments on multiple parameters based on preset current limits. When any parameter exceeds its limit, a current limit command is immediately generated, overcoming the coverage blind spots of single-parameter criteria. The execution unit dynamically adjusts the charging current in response to the command, forming a closed-loop chain of "embedded monitoring - multi-parameter judgment - current regulation". This structure physically suppresses the chain reaction of rising interface resistance and increased deformation, significantly improving battery cycle stability.

[0030] As an optional implementation, the calculation module is used to calculate the numerical relationship between any one of the ionic conductivity, the interface resistance, or the expansion rate parameter and the preset current limit condition; The determination module is used to determine the corresponding level of the current limiting command based on the numerical relationship.

[0031] This implementation quantifies the degree of parameter deviation through a calculation module, and generates instructions in a hierarchical manner based on numerical relationships, extending single threshold control into a multi-level response system. When parameters deviate slightly, primary current limiting is triggered; when deviations are severe, higher-level protection is activated, avoiding over-intervention or insufficient protection caused by a "one-size-fits-all" approach. The hierarchical mechanism adapts to the control requirements of different degradation stages, maximizing battery usable capacity while ensuring safety.

[0032] As an optional implementation, the positive electrode active material layer includes NCM811 material, the solid electrolyte layer includes sulfide material, the negative electrode active material layer includes lithium-indium alloy material, the detection unit includes a MEMS sensor, and the control unit includes an FPGA unit.

[0033] This implementation uses a combination of a high-nickel cathode and a sulfide electrolyte to reduce the basic resistance through interfacial ion conduction characteristics; the lithium-indium anode suppresses dendrite formation, reducing deformation factors at the source. The MEMS sensor, with its miniaturized structure, is embedded within the electrolyte layer, avoiding mechanical damage to the battery structure; the FPGA unit provides parallel computing capabilities, ensuring real-time multi-parameter determination. This collaborative design of materials and hardware forms the foundation for highly stable monitoring and control.

[0034] This application provides a method for detecting and controlling the degradation of all-solid-state batteries, applicable to the system described in any embodiment, including: The detection unit continuously acquires at least one of the following parameters of the battery cell: ionic conductivity, interfacial resistance, or expansion rate. The interface resistance includes a first interface resistance parameter between the solid electrolyte layer and the positive electrode active material layer and a second interface resistance parameter between the solid electrolyte layer and the negative electrode active material layer. When any one of the ionic conductivity, the interface resistance, or the expansion rate exceeds a preset current limit, a current limit command is generated. In response to the current limiting command, the charging current is adjusted to a fixed value that is a preset proportion of the original current value or the charging current is cut off.

[0035] Figure 3This is a flowchart illustrating a method for detecting and controlling the degradation of an all-solid-state battery disclosed in this application. The flowchart shows the process where a degradation detection sensor signal is input to the control circuit and evaluated by a threshold judgment module. Based on the judgment result, the charging control module is activated and ultimately outputs a signal to the outside via the I / O interface. In this application, signal preprocessing is first performed, where the original sensor signal is filtered to remove noise and converted into a digital signal. Then, multi-parameter collaborative judgment is implemented, such as calculating the ratio of the current value to the initial value of the interface resistance value; calculating the instantaneous slope using first-order difference for the rate of change of expansion rate; some implementations use coupling criteria for judgment, such as calculating the product of the rate of change of resistance and the rate of change of expansion rate. When a single parameter exceeds its limit, a graded current limit is activated; when a coupled parameter exceeds its limit, the current is directly cut off. A dual-path judgment mechanism of "independent parameter-coupled parameter" is introduced, balancing response speed and false judgment protection; details can be found in other embodiments.

[0036] This implementation method acquires the positive and negative electrode interface resistance parameters separately, accurately locating the degradation interface and overcoming the shortcomings of traditional methods that cannot distinguish the contribution of the interface. It implements parallel monitoring of ionic conductivity, dual-interface resistance, and expansion rate; when any parameter exceeds the limit, an instruction is triggered, ensuring a comprehensive response to sudden degradation. Current adjustment uses a preset fixed ratio to avoid secondary damage to the battery interface caused by current oscillations from continuous adjustments. This method integrates the "dual-interface monitoring - parallel judgment - fixed-ratio control" process into a unified operating logic, balancing response speed and control accuracy in complex degradation scenarios.

[0037] As an optional implementation, the process of generating the current limiting command includes: Calculate the product of the real-time rate of change of the interface resistance and the real-time rate of change of the expansion coefficient parameter. When the product value exceeds a first threshold and persists for a first time period, a current cutoff command is generated. A current reduction command is generated when only the real-time rate of change of the interface resistance exceeds the second threshold, or when only the real-time rate of change of the expansion rate parameter exceeds the third threshold.

[0038] This implementation introduces a product-value coupling criterion. When the rate of change of interface resistance and the rate of change of expansion increase simultaneously, it is determined to be a composite degradation and the current is immediately cut off, solving the problem of rapid interruption in multi-parameter linked failure scenarios. For single-parameter independent over-limit scenarios, only a current reduction command is generated to avoid excessive intervention. By differentiating response strategies between composite and independent faults, the battery's partial operational capability is preserved while preventing thermal runaway, optimizing the balance between safety and availability.

[0039] As an optional implementation, the current reduction command includes: In the first stage, the charging current is adjusted to a first proportion of its original value and maintained for a second time period. In the second stage, if the interface resistance is not adjusted to the expected resistance range within the second time period, the charging current is further adjusted to a second ratio lower than the first ratio, or the charging current is cut off.

[0040] This implementation employs a phased current regulation mechanism: in the first phase, operation is maintained at a higher current ratio while monitoring the parameter decline trend; if the expected result is not achieved, the second phase intensifies the restriction. This gradual regulation provides a time window for battery self-recovery, avoiding system downtime caused by directly cutting off the current; when parameters continue to deteriorate, protection measures are upgraded to block irreversible degradation paths. This tiered strategy maximizes battery service life while ensuring safety.

[0041] As an optional implementation, the expansion ratio parameter can be obtained in the following ways: Obtain multiple expansion rate parameters corresponding to the preset detection nodes, and calculate the standard deviation of each expansion rate parameter; When any of the expansion rate parameters exceeds the deformation anomaly threshold, or the standard deviation exceeds the deformation uniformity threshold, the battery cell is marked as being in a deformation anomaly state.

[0042] This implementation method identifies spatial distribution anomalies in battery deformation by combining multi-node expansion rate monitoring with standard deviation calculation: when a local node exceeds an independent threshold, it is determined to be a point defect; when the standard deviation exceeds the limit, it is determined to be a global deformation imbalance. This design upgrades one-dimensional scalar monitoring to two-dimensional distribution analysis, accurately locating local faults such as electrode edge peeling or uneven expansion of the electrolyte layer, providing data support for targeted maintenance, and avoiding premature scrapping of the entire battery due to local failure.

[0043] Based on practical application scenarios, this application provides a basic embodiment and two comparative embodiments to illustrate the effects.

[0044] An all-solid-state battery module comprises battery cells consisting of a positive electrode, a solid electrolyte, and a negative electrode stacked together. Specifically: • Cathode: LiNi0.8Co0.1Mn0.1O2 (NCM811); • Solid electrolyte: Li 10 GeP2S 12 (Sulfide system); • Negative electrode: Lithium-indium alloy; • Sensor: A MEMS-type resistance change sensor (20 μm thick) is embedded near the solid electrolyte layer. • Control circuit: Based on FPGA, threshold setting: when the interface resistance rises to more than 1.5 times, the charging current will be reduced by 30%.

[0045] Test conditions: • Charge / discharge cycles: 500 cycles at 1C rate; • Temperature: Comparison of ambient temperature (25℃) and high temperature (60℃) environments; • Real-time acquisition of sensor signals, with automatic response from the control circuit; result: • The sensor detects an increase in interface resistance and controls the charging current; • No battery swelling or short circuit occurred under high temperature conditions; • Lifespan is extended by approximately 22% compared to homogeneous uncontrolled batteries; • No abnormal heating was observed during safety tests (crushing and overcharging).

[0046] Comparative Example 1: Sensorless The structure is the same as the embodiment, but it does not include sensors and control circuitry.

[0047] result: • The interface resistance increases sharply under high temperature conditions; • The battery swells significantly during the 400th cycle; • Local short circuit heating was confirmed during the 450th cycle, and the test was interrupted → both safety and lifespan are inferior.

[0048] Comparative Example 2: Threshold-Free Control Although equipped with sensors, the charging current is not regulated through a control circuit.

[0049] result: • Although the sensor detected degradation, the battery behavior remained unchanged because no control measures were implemented. • During the 430th cycle, interface peeling intensifies, causing a sudden voltage drop → Safety cannot be ensured by detection alone; it must be coordinated with control.

[0050] Figure 4 This diagram illustrates the relationship between temperature and battery expansion rate in a method for detecting and controlling the degradation of an all-solid-state battery disclosed in this application. The diagram compares the changes in battery expansion rate under different temperature conditions. The basic embodiment (dotted line) shows slow expansion, while Comparative Embodiment 1 (dashed line) shows rapid expansion, demonstrating the effectiveness of the structure of this invention in suppressing thermal expansion. Figure 5This is a schematic diagram illustrating the relationship between the number of cycles and interface resistance in a method for detecting and controlling the degradation of an all-solid-state battery disclosed in this application. The diagram shows the change in interface resistance during repeated charge-discharge cycles. In the basic embodiment (○), sensor control is used, and the increase in resistance is most effectively suppressed. In comparative example 2 (▲), only partial control is implemented, resulting in a slow increase in resistance. In comparative example 1 (●), no control is implemented, and the resistance increases sharply, indicating low battery stability. These results confirm that sensor control has a significant effect on maintaining battery interface stability.

[0051] This application also provides a solid-state battery degradation detection and control device for the corresponding method, applicable to the system described in any embodiment, including: The acquisition module is used to continuously acquire at least one of the following parameters of battery cell: ionic conductivity, interface resistance, or expansion rate, through the detection unit. The interface resistance includes a first interface resistance parameter between the solid electrolyte layer and the positive electrode active material layer and a second interface resistance parameter between the solid electrolyte layer and the negative electrode active material layer. The processing module is used to generate a current limiting command when any one of the ionic conductivity, the interface resistance, or the expansion rate parameter exceeds a preset current limit condition. The processing module is also configured to, in response to the current limiting command, adjust the charging current to a fixed value that is a preset proportion of the original current value or cut off the charging current.

[0052] This implementation method acquires the positive and negative electrode interface resistance parameters separately, accurately locating the degradation interface and overcoming the shortcomings of traditional methods that cannot distinguish the contribution of the interface. It implements parallel monitoring of ionic conductivity, dual-interface resistance, and expansion rate; when any parameter exceeds the limit, an instruction is triggered, ensuring a comprehensive response to sudden degradation. Current adjustment uses a preset fixed ratio to avoid secondary damage to the battery interface caused by current oscillations from continuous adjustments. This method integrates the "dual-interface monitoring - parallel judgment - fixed-ratio control" process into a unified operating logic, balancing response speed and control accuracy in complex degradation scenarios.

[0053] The corresponding implementation methods and technical effects are also similar for other method implementation methods and corresponding device implementation methods.

[0054] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing element calls; they can be fully implemented in hardware; or some modules can be implemented by processing element calls to software, while others are implemented in hardware. For example, a processing module can be a separate processing element, or it can be integrated into a chip within the device. Alternatively, it can be stored as program code in the device's memory, and its functions can be called and executed by a processing element. The implementation of other modules is similar. Moreover, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. During implementation, each step of the above method or each of the above modules can be completed through integrated logic circuits in the hardware of the processor element or through software instructions.

[0055] For the corresponding device-side solutions and effects of other implementation methods, please refer to the relevant descriptions on the method side, which will not be repeated here.

[0056] Indicatively, such as Figure 6 As shown, Figure 6 This is a schematic diagram of the internal structure of a computer device 300 provided in an embodiment of this application. The computer device 300 can be provided as a server. (Refer to...) Figure 6 The computer device 300 includes a processing component 302, which further includes one or more processors, and memory resources represented by memory 301 for storing instructions, such as application programs, that can be executed by the processing component 302. The application programs stored in memory 301 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 302 is configured to execute instructions to perform the text recognition method of any of the above embodiments.

[0057] The computer device 300 may also include a power supply component 303 configured to perform power management of the computer device 300, a wired or wireless network interface 304 configured to connect the computer device 300 to a network, and an input / output (I / O) interface 305. The computer device 300 may operate on an operating system stored in memory 301, such as Windows Server™, Mac OS X™, Unix™, Linux™, Free BSD™, or similar.

[0058] Those skilled in the art will understand that Figure 6The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0059] This application provides a storage medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the method provided in any embodiment.

[0060] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0061] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0062] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A degradation detection and control system for all-solid-state batteries, characterized in that, include: A battery cell includes a positive electrode active material layer, a solid electrolyte layer, and a negative electrode active material layer, wherein the positive electrode active material layer, the solid electrolyte layer, and the negative electrode active material layer are stacked sequentially. A detection unit is installed inside the battery cell or at a distance not exceeding a preset distance threshold from the battery cell, for real-time acquisition of at least one of the parameters of ionic conductivity, interface resistance, or expansion rate of the battery cell. The control unit connected to the detection unit is configured to generate a current limiting command when any one of the ionic conductivity, the interface resistance, or the expansion rate parameter exceeds a preset current limit condition. An execution unit connected to the control unit is used to reduce the charging current according to the current limiting command.

2. The system according to claim 1, characterized in that, The control unit includes: The calculation module is used to calculate the numerical relationship between any one of the ionic conductivity, the interface resistance, or the expansion rate parameter and the preset current limit condition; The determination module is used to determine the corresponding level of the current limiting command based on the numerical relationship.

3. The system according to claim 1, characterized in that, The positive electrode active material layer includes NCM811 material, the solid electrolyte layer includes sulfide material, the negative electrode active material layer includes lithium-indium alloy material, the detection unit includes a MEMS sensor, and the control unit includes an FPGA unit.

4. A method for detecting and controlling the degradation of an all-solid-state battery, applied to the system described in any one of claims 1-3, characterized in that, include: The detection unit continuously acquires at least one of the following parameters of the battery cell: ionic conductivity, interfacial resistance, or expansion rate. The interface resistance includes a first interface resistance parameter between the solid electrolyte layer and the positive electrode active material layer and a second interface resistance parameter between the solid electrolyte layer and the negative electrode active material layer. When any one of the ionic conductivity, the interface resistance, or the expansion rate exceeds a preset current limit, a current limit command is generated. In response to the current limiting command, the charging current is adjusted to a fixed value that is a preset proportion of the original current value or the charging current is cut off.

5. The method according to claim 4, characterized in that, The process of generating the current limiting command includes: Calculate the product of the real-time rate of change of the interface resistance and the real-time rate of change of the expansion coefficient parameter. When the product value exceeds a first threshold and persists for a first time period, a current cutoff command is generated. A current reduction command is generated when only the real-time rate of change of the interface resistance exceeds the second threshold, or when only the real-time rate of change of the expansion rate parameter exceeds the third threshold.

6. The method according to claim 5, characterized in that, The current reduction command includes: In the first stage, the charging current is adjusted to a first proportion of its original value and maintained for a second time period. In the second stage, if the interface resistance is not adjusted to the expected resistance range within the second time period, the charging current is further adjusted to a second ratio lower than the first ratio, or the charging current is cut off.

7. The method according to claim 4, characterized in that, The expansion ratio parameter is obtained in the following ways: Obtain multiple expansion rate parameters corresponding to the preset detection nodes, and calculate the standard deviation of each expansion rate parameter; When any of the expansion rate parameters exceeds the deformation anomaly threshold, or the standard deviation exceeds the deformation uniformity threshold, the battery cell is marked as being in a deformation anomaly state.

8. A device for detecting and controlling the degradation of an all-solid-state battery, applied to the system described in any one of claims 1-3, characterized in that, include: The acquisition module is used to continuously acquire at least one of the following parameters of battery cell: ionic conductivity, interface resistance, or expansion rate, through the detection unit. The interface resistance includes a first interface resistance parameter between the solid electrolyte layer and the positive electrode active material layer and a second interface resistance parameter between the solid electrolyte layer and the negative electrode active material layer. The processing module is used to generate a current limiting command when any one of the ionic conductivity, the interface resistance, or the expansion rate parameter exceeds a preset current limit condition. The processing module is also configured to, in response to the current limiting command, adjust the charging current to a fixed value that is a preset proportion of the original current value or cut off the charging current.

9. A computer device, characterized in that, The method includes one or more processors and a memory storing computer-readable instructions that, when executed by the one or more processors, perform the steps of the method as described in any one of claims 4-7.

10. A storage medium, characterized in that, The storage medium stores computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the method as described in any one of claims 4-7.

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