Energy storage battery monitoring sensing system

Abstract

The invention relates to the technical field of energy storage battery safety monitoring, and provides an energy storage battery monitoring sensing system which comprises a distributed sensing network module and a physical field simulation module. The distributed sensing network comprises sensors and a carrier assembly, the sensors are distributed at key positions of a target battery pack and collect target data of the key positions in real time, and the key positions are preset based on the types of the sensors; the carrier assembly is a native assembly of a target battery pack, and the sensor is not in contact with an electrode active material of the target battery pack when integrated on the carrier assembly; and the physical field simulation module identifies a risk area in the target battery pack to give an alarm based on target data acquired by the sensor and a physical model corresponding to the sensor. According to the energy storage battery monitoring and sensing system, on the premise that the original performance of the battery is not damaged, accurate real-time monitoring of the key area of the energy storage battery is achieved, and the safety of the energy storage battery is improved.

Description

Technical Field

[0001] This invention relates to the field of energy storage battery safety monitoring technology, and in particular to an energy storage battery monitoring sensing system. Background Technology

[0002] With the rapid development of the new energy industry, energy storage batteries are increasingly widely used in power batteries, energy storage power stations, and consumer electronics. However, traditional battery monitoring technologies have significant shortcomings. Existing solutions mostly rely on external monitoring equipment such as battery casing temperature sensors, which cannot penetrate deep into the battery to obtain parameters of core areas such as electrode edges and separator interfaces, resulting in critical risk points becoming monitoring blind spots. Furthermore, some built-in sensors are fixedly installed, requiring additional supports or direct contact with electrode active materials. This not only damages the original battery structure but also causes performance problems such as high capacity decay rate and shortened cycle life, which contradicts the high reliability requirements of energy storage batteries. Summary of the Invention

[0003] This invention provides an energy storage battery monitoring and sensing system to address the shortcomings of existing energy storage battery monitoring systems, such as blind spots or damage to the original battery structure leading to performance degradation. It achieves accurate and real-time monitoring of key areas of the energy storage battery, thereby improving the safety of the energy storage battery.

[0004] This invention provides an energy storage battery monitoring sensing system, including a distributed sensor network module and a physical field simulation module. The distributed sensor network includes sensors and a carrier component. The sensors are distributed at key locations of the target battery pack to collect target data in real time. The key locations are pre-set based on the type of the sensor. The carrier component is an original component of the target battery pack, and when the sensors are integrated into the carrier component, they do not contact the electrode active materials of the target battery pack. The physical field simulation module identifies risk areas within the target battery pack and issues alarms based on the target data collected by the sensors and the corresponding physical model of the sensors.

[0005] According to the energy storage battery monitoring sensing system provided by the present invention, the types of sensors include temperature sensors, pressure sensors and gas sensors; the key locations include the high-risk area for thermal runaway where temperature sensors and gas sensors are combined, the interface side reaction area where temperature sensors, pressure sensors and gas sensors are combined, and the mechanical deformation area where temperature sensors and pressure sensors are combined.

[0006] According to the energy storage battery monitoring and sensing system provided by the present invention, the high-risk area for thermal runaway includes the electrode edge of the target battery pack, the vicinity of the tab, and the potential location of the separator damage; the interface side reaction area includes the interface between the positive and negative electrolytes of the target battery pack and the interface between the current collector electrode active material; and the mechanical deformation area includes the middle of the separator of the target battery pack, the bending point of the current collector, and the corner area of ​​the aluminum-plastic film.

[0007] According to the energy storage battery monitoring sensing system provided by the present invention, the carrier component includes a current collector, an aluminum-plastic film, a separator, or a tab of the target battery pack.

[0008] According to the energy storage battery monitoring sensing system provided by the present invention, the sensor adopts a distributed, integrated, and miniaturized design; the miniaturized design reduces the sensing area to the micrometer or submicrometer scale, and the sensing network adopts a hollow design with a porosity ≥95%.

[0009] According to the energy storage battery monitoring sensing system provided by the present invention, the target data includes temperature data, pressure data, and gas concentration data; the monitoring gas corresponding to the gas concentration data includes hydrogen, carbon monoxide, and oxygen.

[0010] According to the energy storage battery monitoring and sensing system provided by the present invention, the physical model includes an electrochemical model, a thermal model, a gas diffusion model, a mechanical model, a single-particle model, and a pulse diagnostic model. The electrochemical model is used to analyze ion transport and chemical reactions inside the target battery pack. The thermal model is used to simulate heat generation and heat dissipation of the target battery pack. The mechanical model is used to evaluate the mechanical stress during the charging and discharging process of the target battery pack. The gas diffusion model is used to predict the gas generation and diffusion during electrolyte decomposition or thermal runaway within the target battery pack. The single-particle model is used to analyze the microscopic reactions of electrode particles in the target battery pack. The pulse diagnostic model is used to determine internal faults in the target battery pack.

[0011] According to the energy storage battery monitoring sensing system provided by the present invention, the performance parameters of the temperature sensor meet the following requirements: temperature measurement range of -50~150℃, temperature measurement accuracy of less than 0.2℃, response time of less than 0.5 seconds, and long-term stability with temperature drift of less than 0.05℃ / year; the performance parameters of the pressure sensor meet the following requirements: temperature tolerance range of -50~200℃, pressure measurement accuracy of less than 0.1 MPa, and response time of less than 0.5 ms; the performance parameters of the gas sensor meet the following requirements: temperature tolerance range of -50~200℃, hydrogen testing sensitivity of less than 20 ppm, carbon monoxide testing sensitivity of less than 50 ppm, oxygen testing sensitivity of less than 50 ppm, and response time of less than 5 seconds.

[0012] According to the energy storage battery monitoring and sensing system provided by the present invention, the parameters of the current collector are: a metal layer thickness of 500nm-2µm, a protective layer coating thickness of 100-500nm on the surface of the metal layer, and an overall thickness of 5-10µm; the parameters of the aluminum-plastic film are: an encapsulation layer is an extrudable thermopolymer organic material, an encapsulation layer thickness of less than 2µm, and a thermal stability temperature greater than 220℃; the parameters of the separator are: an encapsulation layer is a photopolymer organic material, and a single encapsulation layer thickness of less than 1µm.

[0013] According to the energy storage battery monitoring sensing system provided by the present invention, the distributed sensing network module supports single-modal feature sensing, comprehensive property sensing, and feature-coupled sensing; in the single-modal feature sensing, the sensing network uses only a single type of sensor to combine and detect a single sensing parameter; in the comprehensive property sensing, the sensing network monitors all parameters including temperature, pressure, and gas; and in the feature-coupled sensing, the sensing network selectively combines and detects temperature, pressure, and gas parameters.

[0014] The energy storage battery monitoring and sensing system provided by this invention solves the problem of blind spots in traditional monitoring by pre-setting key locations according to sensor type in a distributed layout, enabling accurate and real-time acquisition of target data in the core area of ​​the battery. In addition, by using native components as carriers and integrating them without contacting the electrode active materials, it avoids damage to the core electrochemical performance of the battery, adapts to the original battery structure, and ensures operational reliability. Finally, by using a physical field simulation module to combine real-time data with the physical field laws inside the battery, it accurately identifies potential risk areas and solves the problems of false alarms and delayed reports in traditional monitoring. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the energy storage battery monitoring and sensing system provided by the present invention.

[0017] Figure 2 This is a schematic diagram of the structural design of the distributed sensor for energy storage batteries provided by the present invention.

[0018] Figure 3 is a schematic diagram of the integrated layered structure of the energy storage battery sensor and the current collector.

[0019] Figure 4 is a schematic diagram of the integrated layered structure of the energy storage battery sensor and the aluminum-plastic film.

[0020] Figure 5 is a schematic diagram of the integrated layered structure of the energy storage battery sensor and the separator.

[0021] Figure 6 is a physical diagram of the sensor arranged on the copper foil.

[0022] Figure 7 is a physical diagram of the sensor arranged on the diaphragm.

[0023] Figure 8 is a physical image of the sensor arranged on the aluminum foil.

[0024] Figure 9 This is a photograph of the sensor arranged on an aluminum-plastic film. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0026] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms “first,” “second,” and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms “an,” “a,” or “the,” and similar terms do not indicate a quantity limitation, but rather indicate the presence of at least one. The terms “comprising,” “including,” or “including,” and similar terms mean that the element or object preceding the word encompasses the element or object listed following the word and its equivalents, without excluding other elements or objects. The terms “connected,” “linked,” or “connected,” and similar terms are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect.

[0027] The terminology involved in this invention will be briefly explained below.

[0028] The following is combined Figures 1-9 This invention describes the energy storage battery monitoring sensing system provided by the present invention.

[0029] Figure 1 This is a schematic diagram of the energy storage battery monitoring and sensing system provided by the present invention, as shown below. Figure 1As shown, the energy storage battery monitoring and sensing system includes a distributed sensor network module 101 and a physical field simulation module 102. Signal transmission between modules can be achieved via wired or wireless signal transmission. For example, processed digital data can be synchronously transmitted to the communication interface of the physical field simulation module via a flexible signal bus in the distributed sensor network module 101. The distributed sensor network 101 includes sensors and carrier components. Sensors are distributed at key locations on the target battery pack to collect target data in real time. These key locations are pre-set based on the sensor type. Sensors may include temperature sensors, gas sensors, and pressure sensors. The carrier component is an inherent component of the target battery pack. An inherent component refers to a component that is already present during battery manufacturing, meaning no additional support, casing, or other carrier is required. Furthermore, when sensors are integrated into the carrier component, they do not contact the electrode active materials of the target battery pack and do not affect battery performance.

[0030] The physical field simulation module 102 uses the target data collected by the sensor and the physical model corresponding to the sensor, such as the electrochemical model to analyze ion transport and the thermal model to simulate heat distribution, to identify risk areas in the target battery pack and issue alarms, such as thermal runaway risk areas and interface degradation risk areas.

[0031] In some alternative implementations, the sensor types include temperature sensors, pressure sensors, and gas sensors; key locations include high-risk areas for thermal runaway where temperature and gas sensors are combined, interfacial side reaction regions where temperature, pressure, and gas sensors are combined, and mechanical deformation regions where temperature and pressure sensors are combined. Furthermore, sensor types can be added as needed, for example, impedance sensors can be added to monitor changes in interfacial resistance.

[0032] In some alternative implementations, high-risk areas for thermal runaway include the electrode edges, near the tabs, and potential locations of separator damage in the target battery pack. Interfacial side reaction regions include the positive and negative electrolyte interfaces and the current collector electrode active material interfaces of the target battery pack. Mechanical deformation regions include the middle of the separator, the current collector bends, and the corner areas of the aluminum-plastic film. These critical locations are related to the battery pack design and can be designed according to the characteristics of the target battery pack. For example, high-risk areas for thermal runaway may also include electrolyte enrichment areas, and mechanical deformation regions may also include the outer separator of the core.

[0033] In some alternative implementations, the carrier components include current collectors, aluminum-plastic films, separators, or tabs of the target battery pack. Depending on the characteristics of the battery pack under test, additional components may be added, such as electrode tab adapters, which can integrate sensors to monitor local temperature rise.

[0034] In some optional implementations, the sensors employ a distributed, integrated, and miniaturized design. Miniaturization involves shrinking the sensing area to the micrometer or submicrometer scale, with the overall sensor network using a hollow design and a porosity ≥95%. Distributed design means the sensors are arranged according to the characteristics of high-risk areas within the battery, rather than being concentrated in one location. Integrated design means the sensors are directly integrated into the battery's native components. The combination of miniaturization and distributed design can cover small, critical areas inside the battery, such as the tabs and separator edges, eliminating monitoring blind spots. The integrated design avoids damaging the original battery structure, and the hollow structure does not obstruct electrolyte flow and ion transport, solving the problem of traditional sensors interfering with battery performance. Furthermore, small-sized sensors require less material, and the hollow structure further reduces costs.

[0035] See Figure 2 , Figure 2 The structural design of a distributed sensor for energy storage batteries is shown, demonstrating its core design features: miniaturization, high porosity, and battery integration adaptability. The size of individual sensing sites is controlled within 10-50 μm, distributed based on multiphysics simulation results to cover key risk areas. The sensor employs a hollow layout to reduce material costs and avoid interfering with ion transport within the battery. Simultaneously, a multi-layered structure of "protective layer-sensing layer-substrate layer" ensures stability. The signal transmission area utilizes an alloy metal layer or carbon layer to balance multi-dimensional stability and conductivity. This design represents a concrete implementation of "distributed, miniaturized sensors integrated into native battery components," achieving accurate and reliable monitoring of critical internal areas without affecting battery performance.

[0036] In some optional implementations, the target data includes temperature data, pressure data, and gas concentration data; the monitored gases for the gas concentration data include hydrogen, carbon monoxide, and oxygen. Hydrogen is a characteristic gas of electrolyte decomposition and negative electrode reaction, carbon monoxide is a product of electrode material oxidation or thermal runaway, and oxygen is a related gas of battery internal sealing failure or combustion reaction. Compared to the traditional single-mode solution that only monitors temperature, multi-dimensional data can build a collaborative monitoring system, avoiding misjudgment based on a single parameter. Targeted monitoring of characteristic gases such as hydrogen and carbon monoxide can detect latent risks such as thermal runaway and electrolyte leakage in advance, before the battery casing bulges or the temperature rises significantly.

[0037] In some optional implementations, the physical model includes an electrochemical model, a thermal model, a gas diffusion model, a mechanical model, a single-particle model, and a pulse diagnostic model. The electrochemical model is used to analyze ion transport and chemical reactions inside the target battery pack. The thermal model is used to simulate the heat generation and heat dissipation of the target battery pack. The mechanical model is used to evaluate the mechanical stress during the charging and discharging process of the target battery pack. The gas diffusion model is used to predict the generation and diffusion of gas during electrolyte decomposition or thermal runaway within the target battery pack. The single-particle model is used to analyze the microscopic reactions of the electrode particles in the target battery pack. The pulse diagnostic model is used to determine internal faults in the target battery pack, such as micro-short circuits and interface failures.

[0038] In some optional implementations, the temperature sensor performance parameters meet the following requirements: temperature measurement range of -50~150℃, temperature measurement accuracy of less than 0.2℃, response time of less than 0.5 seconds, and long-term stability with temperature drift of less than 0.05℃ / year; the pressure sensor performance parameters meet the following requirements: temperature tolerance range of -50~200℃, pressure measurement accuracy of less than 0.1 MPa, and response time of less than 0.5 milliseconds; the gas sensor performance parameters meet the following requirements: temperature tolerance range of -50~200℃, hydrogen testing sensitivity of less than 20 ppm, carbon monoxide testing sensitivity of less than 50 ppm, oxygen testing sensitivity of less than 50 ppm, and response time of less than 5 seconds. The wide temperature range design adapts to different regional climates and battery failure scenarios, while high accuracy and fast response can capture minute changes in the precursors of thermal runaway. High-sensitivity gas monitoring can trigger alarms when the concentration of hazardous gases is extremely low, avoiding the risk of "alarms only sounding when the gas concentration has reached the explosion threshold." Long-term stability ensures that the sensor does not require frequent calibration during the 5-10 year battery lifespan, reducing maintenance costs.

[0039] In some optional implementations, the current collector parameters meet the following requirements: a metal layer thickness of 500nm-2µm, a protective layer thickness of 100-500nm on the metal layer surface, and an overall thickness of 5-10µm; the aluminum-plastic film parameters meet the following requirements: the encapsulation layer is an extrudable thermopolymer organic material, the encapsulation layer thickness is less than 2µm, and the thermal stability temperature is greater than 220℃; the separator parameters meet the following requirements: the encapsulation layer is a photopolymer organic material, and the thickness of a single encapsulation layer is less than 1µm. The ultra-thin carrier components do not increase the battery volume and weight, aligning with the trend of lightweight new energy batteries; the high heat resistance of the current collector protective layer and the aluminum-plastic film prevents corrosion or high-temperature encapsulation failure after sensor integration, ensuring battery safety; the separator's photopolymer encapsulation layer cures quickly and has uniform thickness, firmly fixing nanoscale sensors while not clogging the separator pores, ensuring ion transport efficiency.

[0040] See Figure 3Figure 3 is a schematic diagram of the integrated layered structure of the energy storage battery sensor and current collector. It includes a current collector metal layer, an encapsulation layer, a sensing layer, and another encapsulation layer, integrating the sensing function into the core current collector component of the battery. The current collector layer retains the functions of electron conduction and structural support, the encapsulation layer isolates the sensing layer from the internal battery materials to avoid side reactions, and the core sensing layer simultaneously realizes parameter acquisition and signal transmission. This design achieves the integration of sensing function with the battery's native components, without occupying additional space or interfering with battery performance, and can directly monitor the state of the current collector area, solving the monitoring lag and compatibility problems of traditional external sensors.

[0041] See Figure 4 Figure 4 is a schematic diagram of the integrated layered structure of the energy storage battery sensor and the aluminum-plastic film. It includes an encapsulation layer, a sensing layer, an encapsulation layer, and an aluminum-plastic film. This structure integrates the sensing function into the aluminum-plastic film of the battery encapsulation component, which not only utilizes the original structure of the aluminum-plastic film to achieve non-destructive installation of the sensor, but also directly captures risk signals in the battery encapsulation area.

[0042] See Figure 5 Figure 5 is a schematic diagram of the integrated layered structure of the energy storage battery sensor and separator, including separator material, encapsulation layer, sensing layer, and separator material. The top and bottom layers are the core separator material of the battery, which performs the function of isolating the positive and negative electrodes. The core sensing layer, which has both sensing and signal transmission functions, is wrapped in two optimized polymer encapsulation layers in the middle. This design integrates the sensing function into the battery separator assembly, which not only relies on the original structure of the separator to achieve non-destructive installation of the sensor, but also can directly monitor core parameters such as mechanical deformation and ion transport status.

[0043] See Figure 6 Figure 6 shows a physical image of the sensor arranged on a copper foil. Multiple sets of wire-like microchannel structures are formed on the surface of the copper foil through an etching process, which can be used to embed sensors for temperature, pressure, etc.

[0044] See Figure 7 Figure 7 shows a physical diagram of the sensor arranged on the diaphragm. The diaphragm surface is formed with a multi-component layered wire-like channel structure through microfabrication technology, which can be used to embed the sensor.

[0045] See Figure 8 Figure 8 shows a physical diagram of the sensor arranged on an aluminum foil. The aluminum foil is etched to form a multi-component hierarchical wire-like structure, which can be used to embed the sensor.

[0046] See Figure 9 , Figure 9 This is a photograph of a sensor mounted on an aluminum-plastic film. The surface of the aluminum-plastic film is micro-machined to form a hierarchical wire-like structure, which can be used to embed the sensor.

[0047] In several optional implementations, the distributed sensor network module supports single-modal feature sensing, comprehensive property sensing, and feature-coupled sensing. In single-modal feature sensing, the sensor network uses only a single type of sensor in combination to detect a single sensing parameter. In comprehensive property sensing, the sensor network monitors temperature, pressure, and gas parameters. In feature-coupled sensing, the sensor network selectively combines and detects temperature, pressure, and gas parameters. Multiple modalities adapt to different scenario requirements, reducing costs. For example, for home energy storage batteries with moderate safety requirements, single-modal sensing (temperature monitoring) can be used; for energy storage power station batteries with high safety requirements, comprehensive property sensing is used; and for power batteries focusing on deformation and overheating, "temperature + pressure" feature coupling can be used.

[0048] Furthermore, testing showed that placing an integrated sensor inside the battery to collect data on temperature, pressure, and gas generation during battery cycling demonstrated that the battery could still cycle stably at different rates even with the sensor built-in. This means that the built-in sensor has no impact on battery performance, and it allows for real-time data acquisition during battery charging and discharging.

[0049] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An energy storage battery monitoring sensor system, comprising: The distributed sensor network module and the physical field simulation module are comprised; The distributed sensor network comprises sensors and carrier components, wherein the sensors are distributed at key positions of the target battery pack to collect target data in real time, and the key positions are set based on the types of the sensors; the carrier components are original components of the target battery pack, and the sensors are integrated into the carrier components without contacting the electrode active materials of the target battery pack; The physical field simulation module identifies risk areas in the target battery pack based on the target data collected by the sensors and corresponding physical models of the sensors to give an alarm.

2. The energy storage battery monitoring sensor system of claim 1, wherein, The types of the sensors include temperature sensors, pressure sensors and gas sensors; the key positions include a thermal runaway high-risk area where temperature sensors and gas sensors are combinedly distributed, an interface side reaction area where temperature sensors, pressure sensors and gas sensors are combinedly distributed, and a mechanical deformation area where temperature sensors and pressure sensors are combinedly distributed.

3. The energy storage battery monitoring sensor system of claim 2, wherein, The thermal runaway high-risk area includes electrode edges, tab vicinities and potential separator damage positions of the target battery pack, the interface side reaction area includes positive and negative electrolyte interfaces and current collector electrode active material interfaces of the target battery pack, and the mechanical deformation area includes central parts of the separator, current collector bending parts and aluminum plastic film corner areas of the target battery pack.

4. The energy storage battery monitoring sensor system of claim 1, wherein, The carrier components include current collectors, aluminum plastic films, separators or tabs of the target battery pack.

5. The energy storage battery monitoring sensor system of claim 1, wherein, The sensors are designed in a distributed, integrated and miniaturized manner; the miniaturized design reduces the sensing area to micron or sub-micron scales, and the overall sensor network is designed in a hollow manner with a porosity of ≥95%.

6. The energy storage battery monitoring sensor system of claim 1, wherein, The target data include temperature data, pressure data and gas concentration data; the monitored gases corresponding to the gas concentration data include hydrogen, carbon monoxide and oxygen.

7. The energy storage battery monitoring sensor system of claim 1, wherein, The physical models include electrochemical models, thermal models, gas diffusion models, mechanical models, single particle models and pulse diagnosis models; the electrochemical models are used to analyze ion transmission and chemical reactions in the target battery pack, the thermal models are used to simulate heat generation and heat dissipation of the target battery pack, the mechanical models are used to evaluate mechanical stress in the charging and discharging process of the target battery pack, the gas diffusion models are used to predict gas generation and diffusion when the target battery pack is in electrolyte decomposition or thermal runaway, the single particle models are used to analyze micro-reactions of electrode particles of the target battery pack, and the pulse diagnosis models are used to determine internal faults of the target battery pack.

8. The energy storage battery monitoring sensor system of claim 2, wherein, The performance parameters of the temperature sensor satisfy: temperature measurement range is -50~150℃, temperature measurement accuracy is less than 0.2℃, response time is less than 0.5 seconds, long-term stability satisfies temperature drift is less than 0.05℃ / year; the performance parameters of the pressure sensor satisfy: resistant temperature range is -50~200℃, pressure measurement accuracy is less than 0.1 MPa, response time is less than 0.5 milliseconds; the performance parameters of the gas sensor satisfy: resistant temperature range is -50~200℃, hydrogen test sensitivity is less than 20 ppm, carbon monoxide test sensitivity is less than 50 ppm, oxygen test sensitivity is less than 50 ppm, response time is less than 5 seconds.

9. The energy storage battery monitoring sensor system of claim 3, wherein, The parameters of the current collector satisfy: metal layer thickness is 500nm-2um, metal layer surface coating protective layer thickness is 100-500nm, overall thickness is 5-10um; the parameters of the aluminum plastic film satisfy: packaging layer is extrudable hot polymer organic matter, packaging layer thickness is less than 2um, thermal stability temperature is greater than 220℃; the parameters of the diaphragm satisfy: packaging layer is photopolymer organic matter, single-layer packaging layer thickness is less than 1um.

10. The energy storage battery monitoring sensor system of claim 1, wherein, The distributed sensing network module supports single-mode feature sensing, comprehensive property sensing and feature coupling sensing; in the single-mode feature sensing, the sensing network only uses a single type of sensor for combination, and detects a single sensing parameter; in the comprehensive property sensing, the sensing network monitors temperature, pressure and gas parameters; In the feature coupling sensing, the sensing network selectively combines and detects temperature, pressure and gas parameters.

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