Optical fiber sensor battery cell integration method, optical fiber sensor battery system and vehicle

Abstract

The invention provides an optical fiber sensor battery monomer integration method, an optical fiber sensor battery system and a vehicle, and the method comprises the steps: carrying out the simulation of the charging and discharging process of a battery, screening out a plurality of target test point positions from the test point positions of target battery parameters of the battery based on a simulation result, the target battery parameter is air pressure, temperature, stress or gas; determining a blank area for placing an optical fiber sensor in the battery according to each target test point, and providing a placement space for the optical fiber sensor at the blank area by using a battery monomer electrode blank process; and placing the optical fiber sensor in the placement space, and fixing the optical fiber sensor and the battery to obtain an optical fiber sensor battery monomer. By adopting the scheme, the hierarchical perception of the single battery is realized, the detection dimension is expanded, and the acquisition of internal characteristics of the battery is increased, so that the accuracy and reliability of state estimation and fault diagnosis of the lithium ion battery are improved.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a fiber optic sensor battery monomer integration method, a fiber optic sensor battery system, and a vehicle. Background Art

[0002] Lithium-ion batteries, with their high energy density and long cycle life, have been widely used in electric vehicles, energy storage systems, and other fields. Lithium-ion battery state estimation and fault diagnosis are core functions of battery management systems (BMS), crucial for ensuring battery system safety and reliability and for rationally planning battery maintenance and replacement cycles. Timely and accurate state estimation and fault diagnosis can prevent safety issues such as battery overheating, overcharging, and over-discharging, extending battery life and reducing operating costs.

[0003] Currently, lithium-ion battery state estimation and fault diagnosis primarily rely on collecting module-level information such as current, voltage, and surface temperature for the battery management system (BMS). Battery modules typically consist of multiple cells connected in series or parallel, and existing technologies primarily focus on the overall macroscopic electrical and thermal characteristics of the module.

[0004] However, existing approaches based on module-level information collection have significant limitations. The aging mechanism of lithium-ion batteries is complex, influenced by a combination of factors, and various characteristics are coupled. Module-level information can only reflect the overall macroscopic state of the battery, lacking a detailed understanding of its internal microscopic state. This lack of internal battery state information poses significant challenges for accurate battery state estimation and fault diagnosis. Early detection of potential faults within the battery makes it difficult to provide early safety warnings. For example, problems such as localized overheating and stress concentration may not be reflected in module-level information. By the time these problems develop to a certain extent and manifest themselves at the module level, they may have already caused irreversible damage to the battery. Furthermore, relying solely on limited module-level information makes it difficult to fully assess the battery's true health status, hindering the rational planning of battery maintenance and replacement cycles. This can lead to over-maintenance or battery failure. Therefore, a new approach is urgently needed to achieve sensing at the cell level, expand the detection dimensions, and enhance the acquisition of internal battery characteristics to improve the accuracy and reliability of lithium-ion battery state estimation and fault diagnosis. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a fiber optic sensor battery cell integration method, a fiber optic sensor battery system and a vehicle, so as to realize battery cell level perception, expand the detection dimension, increase the acquisition of internal battery characteristics, and improve the accuracy and reliability of lithium-ion battery state estimation and fault diagnosis.

[0006] In a first aspect, an embodiment of the present application provides a method for integrating a fiber optic sensor battery cell, the method comprising:

[0007] Simulating a battery charge and discharge process, and selecting a plurality of target test points from test points of target battery parameters of the battery based on the simulation results, wherein the target battery parameters are air pressure, temperature, stress, or gas;

[0008] Determine a blank area in the battery for placing the optical fiber sensor according to each target test point, and provide a placement space for the optical fiber sensor in the blank area by using a battery cell electrode blanking process;

[0009] The optical fiber sensor is placed in the placement space, and the optical fiber sensor and the battery are fixed to obtain an optical fiber sensor battery monomer.

[0010] Optionally, screening out a number of target test points from the test points of the battery based on the simulation results includes:

[0011] The test point with the largest parameter change per unit time in the simulation results is determined as the target test point;

[0012] Alternatively, for each test point, calculate the average level of parameter changes of other test points except the test point in the simulation results;

[0013] A test point whose parameter change exceeds the average parameter change level of other test points by more than a preset percentage is determined as a target test point.

[0014] Optionally, determining a blank area in the battery for placing the optical fiber sensor according to each target test point includes:

[0015] Determining a target cell layer where each target test point is located in the battery;

[0016] In the target battery core layer, each target test point is connected through with a preset width to obtain the blank area.

[0017] Optionally, the preset width is 1 to 3 mm.

[0018] Optionally, the electrode blank coating process includes one or more of wet coating with blanking, dry composite blanking, and surface material removal after coating.

[0019] Optionally, placing the optical fiber sensor in the placement space and fixing the optical fiber sensor and the battery to obtain an optical fiber sensor battery monomer includes:

[0020] When the battery core is wound and reaches the placement space, the optical fiber sensor is attached to the placement space;

[0021] Alternatively, when the battery stacking process reaches the placement space, the optical fiber sensor is attached to the placement space;

[0022] Alternatively, after the battery core is wound, the optical fiber sensor is inserted into the placement space.

[0023] In a second aspect, an embodiment of the present application provides a fiber optic sensor battery system, which includes a fiber optic sensor battery cell obtained by the fiber optic sensor battery cell integration method described in any optional embodiment of the first aspect, a battery management system, and a system box.

[0024] Optionally, the battery management system includes a sensor data receiving unit, a sensor data decoding unit and a sensor data processing unit;

[0025] The sensing data receiving unit is used to receive the target battery parameters of the battery collected by the optical fiber sensor in the optical fiber sensor battery cell;

[0026] The sensing data decoding unit is used to decode the target battery parameters;

[0027] The sensor data processing unit is used to process and analyze the decoded target battery parameters, and perform battery fault diagnosis, cell-level management and parameter regulation based on the processing and analysis results.

[0028] In a third aspect, an embodiment of the present application provides a vehicle, comprising the optical fiber sensor battery system and the early warning device according to any optional embodiment of the second aspect above;

[0029] The optical fiber sensor battery system is used to obtain target battery parameters of the battery;

[0030] The early warning device is used to trigger an alarm when the target battery parameter exceeds a preset threshold.

[0031] The technical solutions provided by this application include but are not limited to the following beneficial effects:

[0032] In the technical solution of the present application, the battery charging and discharging process is first simulated. The internal structure of lithium-ion batteries is complex, and the parameters of various parts vary significantly, which makes it quite challenging to accurately monitor and evaluate their status. Through simulation, it is possible to screen out several key target test points from the many test points of the battery target battery parameters (such as air pressure, temperature, stress or gas, etc.). This operation is of great significance. Taking temperature parameters as an example, monitoring key temperature points can timely discover thermal runaway hazards, while relying solely on module parameters is difficult to gain in-depth insight into the internal state of the battery. The screened target test points can provide strong data support for accurately evaluating the battery status, and can also keenly capture early changes inside the battery, and give early warning of potential faults, greatly improving the timeliness and accuracy of fault prediction, and effectively ensuring the safe operation of the battery system.

[0033] Next, the blank area in the battery for placing the fiber optic sensor is determined based on the target test points, and the battery cell electrode blanking process is used to create space for the fiber optic sensor. This method can achieve the precise layout of the fiber optic sensor, which helps to obtain more accurate and comprehensive data and effectively avoid monitoring errors. For example, setting blanks in areas where the air pressure inside the battery changes significantly can significantly improve the accuracy of air pressure measurement. At the same time, the battery cell electrode blanking process can also reduce the adverse effects of sensing foreign objects on battery performance and reduce interference with the internal electric field and ion transmission of the battery, thereby ensuring normal charging and discharging of the battery and extending the battery life.

[0034] Finally, the fiber optic sensor is placed in the reserved space and secured to the battery, forming a fiber optic sensor battery cell. This process ensures that the fiber optic sensor's monitoring effect will not be affected by factors such as vibration and displacement during the long-term use of the battery. It can stably collect internal battery parameters, providing a reliable data foundation for battery status estimation and fault diagnosis. In addition, the fiber optic sensor battery cell provides the battery management system with a wealth of internal information. With the help of data analysis technology, precise management at the cell level can be achieved. For example, charging strategies can be adjusted based on real-time data to avoid overcharging and over-discharging of the battery, thereby improving the intelligent management level of the entire battery system.

[0035] In summary, the solution of the present application can achieve battery cell-level perception, effectively expand the detection dimension, increase the acquisition of internal battery characteristics, and significantly improve the accuracy and reliability of lithium-ion battery state estimation and fault diagnosis.

[0036] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0038] Figure 1 A flow chart of a method for integrating a fiber optic sensor battery cell provided by the first embodiment of the present invention is shown;

[0039] Figure 2 A schematic diagram of a blank area of ​​a battery provided by the first embodiment of the present invention is shown;

[0040] Figure 3 A schematic diagram showing the bonding and fixing of a sensor provided by the first embodiment of the present invention is shown;

[0041] Figure 4 A schematic diagram of a fiber optic sensor battery cell provided in the first embodiment of the present invention is shown;

[0042] Figure 5 A flow chart of a method for determining a target test point provided by the first embodiment of the present invention is shown;

[0043] Figure 6 A flowchart of a method for determining a blank area provided by the first embodiment of the present invention is shown;

[0044] Figure 7 A schematic structural diagram of a fiber optic sensor battery system provided by a second embodiment of the present invention is shown;

[0045] Figure 8 A schematic structural diagram of a battery management system provided by a second embodiment of the present invention is shown;

[0046] Figure 9 A schematic structural diagram of a vehicle provided in the third embodiment of the present invention is shown. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.

[0048] Example 1

[0049] To facilitate understanding of this application, Figure 1 The flowchart of the method for integrating a fiber optic sensor battery cell provided by the first embodiment of the present invention is shown to describe the first embodiment of the present application in detail.

[0050] See also Figure 1 As shown, Figure 1 A flowchart of a method for integrating a fiber optic sensor battery cell according to a first embodiment of the present invention is shown, wherein the method comprises steps S101 to S103:

[0051] S101: Simulating a battery charge and discharge process, and selecting a plurality of target test points from test points of target battery parameters of the battery based on the simulation result, wherein the target battery parameters are air pressure, temperature, stress or gas.

[0052] Specifically, the battery charging and discharging process is simulated to simulate the various physical and chemical changes of the battery during the charging and discharging process. A variety of simulation models can be used, such as electrochemical model simulation, which can describe the chemical reactions and ion transfer processes inside the battery in detail; equivalent circuit model simulation, which treats the battery as an equivalent circuit to facilitate the analysis of the battery's electrical characteristics; thermoelectric coupling model simulation, which considers the mutual influence between the thermal effect and electrical performance during battery charging and discharging; finite element simulation, which can accurately analyze the battery's structural stress, temperature distribution, etc.

[0053] Based on the simulation results, key target test points are selected from a large number of test points. The target battery parameters include air pressure, temperature, stress or gas, etc. There are two ways to screen. One is to directly determine the test points with the largest parameter changes per unit time in the simulation results as target test points, because the parameter changes at these points are the most significant and can more sensitively reflect the changes in the battery status; the other is to calculate the average level of parameter changes of other test points except for each test point, and use the test points whose parameter changes exceed the preset percentage of the average level as target test points. In this way, the points whose parameter changes exceed the average level can be found.

[0054] S102: determining a blank area in the battery for placing the optical fiber sensor according to each target test point, and providing a placement space for the optical fiber sensor in the blank area by using a battery cell electrode blanking process.

[0055] Specifically, we must first clarify the target cell layer where each target test point is located in the battery, because different cell layers may have different physical and chemical properties and different monitoring requirements for target parameters. Figure 2 As shown, Figure 2 A schematic diagram of a battery blank area provided by Example 1 of the present invention shows a continuous blank area formed on the electrode coating by connecting target test points within the target cell layer with a preset width of 1-3 mm. This width ensures sufficient space for the fiber optic sensor without excessively occupying the battery's internal space and affecting its performance.

[0056] By utilizing battery cell electrode blanking techniques, such as wet coating blanking, dry composite blanking, or post-coating surface material removal, a cleared area is created for the fiber optic sensor to be placed. These techniques can precisely control the size and position of the blanking area, ensuring that the fiber optic sensor can be accurately placed in the designated location.

[0057] S103: placing the optical fiber sensor in the placement space, and fixing the optical fiber sensor and the battery to obtain an optical fiber sensor battery monomer.

[0058] Specifically, during the battery cell winding process, when the cell reaches the placement space, the fiber optic sensor is attached to this space. This method allows the fiber optic sensor to fit tightly inside the battery as the cell is wound, ensuring good contact between the sensor and the battery, which facilitates accurate acquisition of target parameters.

[0059] When the battery is assembled using a lamination process, the fiber optic sensor is attached to the space where the lamination reaches the placement space. This method is suitable for laminated battery structures and can easily integrate fiber optic sensors during the battery assembly process.

[0060] After the battery cell is wound, the fiber optic sensor is inserted into the pre-set placement space. This method is relatively flexible and suitable for batteries that have been wound but not yet packaged.

[0061] See also Figure 3 As shown, Figure 3 A schematic diagram of a sensor adhesive fixation method provided by the first embodiment of the present invention is shown, wherein the optical fiber sensor is placed in the sensor slot (placement space) of the battery (which includes a pole piece and an electrode coating) by any of the above methods, and adhesive is used to fix it, finally obtaining an optical fiber sensor battery monomer, thereby realizing the effective integration of the optical fiber sensor and the battery. Figure 4 As shown, Figure 4 A schematic diagram of a fiber optic sensor battery cell provided in Example 1 of the present invention is shown, wherein the fiber optic sensor is implanted in the battery to form a fiber optic sensor battery cell. The fiber optic sensor is used to monitor the air pressure, temperature, stress, gas and other parameters of the battery cell in real time, and adopts a miniaturized design to adapt to the narrow space inside the battery cell.

[0062] In an optional embodiment, the method for simulating the battery charging and discharging process includes:

[0063] Battery cell simulation includes electrochemical model simulation, equivalent circuit model simulation, thermoelectric coupling model simulation and finite element simulation.

[0064] Specifically, electrochemical model simulation builds models based on the chemical reactions and ion transport principles that occur within the battery. It describes in detail the chemical reactions between electrode materials and electrolytes during the battery's charge and discharge processes, such as redox reactions on the electrodes and ion diffusion in the electrolyte. By mathematically modeling these microscopic processes, the electrochemical behavior within the battery can be accurately simulated.

[0065] Equivalent circuit model simulation treats the battery as a circuit model composed of basic circuit elements such as resistors, capacitors, and voltage sources. By adjusting the parameters of these circuit elements, the model's electrical characteristics are matched to those of an actual battery. For example, a resistor represents the battery's internal resistance, and a capacitor represents its charge storage capacity.

[0066] Thermoelectric coupling simulations consider the interplay between thermal effects and electrical performance during the battery's charge and discharge processes. Batteries generate heat during the charge and discharge process, and temperature changes affect the battery's electrical properties, such as internal resistance and charge and discharge efficiency. The thermoelectric coupling model simulates both the thermal and electrical behavior of the battery by coupling the heat conduction equation with the electrical performance equation.

[0067] In an alternative embodiment, see Figure 5 As shown, Figure 5 A flowchart of a method for determining target test points provided by a first embodiment of the present invention is shown, wherein the method for selecting a plurality of target test points from the test points of the battery based on simulation results includes steps S501 to S503:

[0068] S501: Determine the test point with the largest parameter change per unit time in the simulation results as the target test point.

[0069] Specifically, after simulating the battery charge and discharge process, data on the target battery parameters (pressure, temperature, stress or gas, etc.) of each test point changing over time will be obtained. These data are analyzed to find the test point with the largest parameter change per unit time.

[0070] For example, if a test point's temperature rises by 5°C within one minute, while most other test points experience a temperature increase of less than 5°C within the same period, the test point with the 5°C rise will be identified as the target test point. Because points with large parameter changes per unit time can more sensitively reflect changes in battery status, monitoring these points can more promptly identify potential battery problems, such as localized overheating.

[0071] S502: Alternatively, for each test point, calculate the average level of parameter changes of other test points in the simulation results except for the test point.

[0072] Specifically, for each test point, the parameter changes of all other test points except it are comprehensively considered to calculate the average level of their parameter changes.

[0073] Assume a battery has 10 test points. For test point A, the average parameter change at the remaining nine test points is calculated. If the parameter is air pressure, and the pressure changes at these nine test points over a period of time are 1kPa, 1.2kPa, 0.9kPa, 1.1kPa, 1.3kPa, 1kPa, 1kPa, 1.1kPa, 0.8kPa, and 1.2kPa, respectively, then the average pressure change is simply the sum of these nine values ​​divided by 9. This method yields an average value that reflects the overall parameter changes at the other test points.

[0074] S503: Determine a test point whose parameter change exceeds the average parameter change level of other test points by more than a preset percentage as a target test point.

[0075] Specifically, after determining the average level of parameter changes at each test point relative to the average level of other test points, the parameter changes at each test point are compared with this average level. If the parameter change at a test point exceeds a preset percentage of the average level of parameter changes at other test points, this test point is identified as a target test point.

[0076] For example, if the preset percentage is 20%, and the average pressure change at the other nine test points calculated above is 1.05kPa, then if the pressure change at test point A exceeds 1.05kPa × (1 + 20%) = 1.26kPa, test point A will be identified as the target test point. This screening method can identify unique points where parameter changes differ from the overall average. These points may indicate abnormal conditions within the battery, and focusing on monitoring them can help more accurately understand the battery's operating status.

[0077] In an alternative embodiment, see Figure 6 As shown, Figure 6 A flowchart of a blank area determination method provided in a first embodiment of the present invention is shown, wherein determining the blank area in the battery for placing the optical fiber sensor according to each target test point includes steps S601 to S602:

[0078] S601: Determine the target cell layer where each target test point is located in the battery.

[0079] Batteries are typically composed of multiple cell layers. Different cell layers may experience different physical and chemical environments during operation, resulting in different distributions of target test points across the cell layers. Therefore, the first task is to identify the specific cell layer or layers within the battery where each target test point is located. This is also known as determining the target cell layer.

[0080] There are two possible situations here. The first is that all test points are on the same cell layer. If all target test points are on the same cell layer, then determining the blank area is relatively straightforward. First, this single cell layer is the target cell layer. Next, each target test point on the cell layer is connected through a preset width (usually 1-3mm).

[0081] For example, a battery cell layer has five target test points located at different locations. Using a specific battery manufacturing process, these five test points are sequentially connected with a preset width of 2 mm to form a continuous area. This area serves as the blank space for the fiber optic sensor. This ensures that the fiber optic sensor is placed within the same cell layer, facilitating the monitoring of the target battery parameters in that layer while avoiding the complications associated with crossing cell layers.

[0082] The first scenario involves test points distributed across different cell layers. When the target test points are distributed across different cell layers, you first need to identify the cell layer with the most test points and designate it as the target cell layer. Choosing the cell layer with the most test points maximizes coverage of test points within a cell layer, improving monitoring efficiency.

[0083] For example, a battery has three cell layers. The first layer has three test points, the second layer has five test points, and the third layer has two test points. The second layer is the target cell layer. Then, on this target cell layer, each target test point on that layer is connected through a preset width, forming a blank area.

[0084] This approach ensures that the fiber optic sensor does not penetrate different battery cell layers. Because different battery cell layers have different potentials, current distributions, and physical and chemical environments during battery operation, if the fiber optic sensor penetrates different battery cell layers, it may affect the normal performance of the battery and increase the complexity of sensor installation and monitoring. By selecting the appropriate target battery cell layer and connecting the test points within that layer, these problems can be effectively avoided while ensuring that the fiber optic sensor can accurately monitor the target battery parameters.

[0085] S602: In the target cell layer, with a preset width as a target, each target test point is connected through to obtain the blank area.

[0086] Specifically, after determining the target cell layers, the next step is to create a blank area within these target cell layers for placing the fiber optic sensors. This is done by connecting each target test point with a preset width to form a continuous area, which is the blank area.

[0087] For example, there are three target test points on a target battery cell layer, each located at a different position. Using a preset width of 2 mm as the standard, these three target test points are connected in an appropriate manner (such as by corresponding design in the battery manufacturing process) to form a channel-like or strip-like area, which can be used as the placement space for the fiber optic sensor. The advantage of this is that the fiber optic sensor can be placed along this blank area and can monitor the parameters of each target test point at the same time, improving the monitoring efficiency and accuracy of the sensor.

[0088] In an optional embodiment, the preset width is 1 to 3 mm.

[0089] Specifically, the preset width is a pre-set value, generally between 1-3 mm. The setting of this width is based on comprehensive consideration of factors such as the size of the optical fiber sensor and the utilization efficiency of the internal space of the battery.

[0090] In an optional embodiment, the electrode blank coating process includes one or more of wet coating with blanking, dry composite blanking, and surface material removal after coating.

[0091] Specifically, in a wet coating process with a blanking pattern, the active material, binder, and solvent are mixed to form a slurry, which is then evenly coated onto a current collector (such as copper or aluminum foil). During the coating process, precise control of a specific mold, mask, or coating equipment prevents the slurry from being applied to the area where the optical fiber sensor is to be placed, thus forming a blanking pattern.

[0092] In the dry lamination process, the active material and binder are mechanically mixed and then directly pressed into an electrode sheet. The electrode sheet is then laminated with the current collector. During the lamination process, the blank space can be achieved by pre-designing the mold or reserving blank areas when pressing the electrode sheet.

[0093] When using the process of removing surface material after coating, the electrode film on the current collector is removed by a scraper or solvent at the test point determined by the simulation for the electrode produced by the wet or dry process. The solvent used can be one or a combination of water, NMP, acetone, ethanol, etc. That is, a conventional coating process is first performed to evenly coat the slurry on the current collector. Then, in the area where the optical fiber sensor needs to be placed, the coated surface material is removed by physical or chemical methods to form a blank area. Physical methods can include mechanical polishing, laser etching, etc.; chemical methods can use specific solvents or reagents to dissolve surface materials.

[0094] In practical applications, one or more electrode blank coating processes can be selected and used in combination according to the specific requirements and production conditions of the battery. For example, a wet coating blanking process can be used to form a rough blank area, and then for some details or areas that need further adjustment, a surface material removal process can be used for fine processing after coating. Or in some cases, for some production scenarios with higher environmental requirements, a dry composite blanking process can be preferred, and then combined with a surface material removal process for optimization. By rationally combining these processes, their advantages can be fully utilized to provide a suitable placement space for the optical fiber sensor while ensuring the performance and production efficiency of the battery.

[0095] In an optional embodiment, placing the optical fiber sensor in the placement space and fixing the optical fiber sensor and the battery to obtain an optical fiber sensor battery monomer includes:

[0096] When the battery core is wound and reaches the placement space, the optical fiber sensor is pasted on the placement space.

[0097] Specifically, during the battery cell winding production, when the cell is wound to the pre-designed placement space, the fiber optic sensor is pasted on. The advantage of this method is that the fiber optic sensor can naturally integrate into the internal structure of the battery as the cell is wound, and fits tightly with the cell. Because it is directly pasted during the winding process, the contact area between the sensor and the battery is large, and the connection is relatively stable, which is conducive to the sensor accurately collecting parameters such as air pressure, temperature, stress, and gas inside the battery. Moreover, pasting during winding can make full use of the production process, without the need for additional complex operating steps, thereby improving production efficiency.

[0098] Alternatively, when the batteries are stacked and reach the placement space, the optical fiber sensor is pasted to the placement space.

[0099] Specifically, when the battery is produced using a lamination process, the fiber optic sensor is affixed to the reserved placement space when the lamination reaches the position. This method is more suitable for batteries with a laminated structure. Affixing the fiber optic sensor during the lamination process allows the sensor to be evenly distributed inside the battery, ensuring the accuracy of parameter monitoring of various parts of the battery. Similar to affixing during the battery cell winding process, it also installs the sensor during the normal process of battery production without excessively interfering with the overall production rhythm.

[0100] Alternatively, after the battery core is wound, the optical fiber sensor is inserted into the placement space.

[0101] Specifically, after the battery cells are wound, the fiber optic sensors are inserted into pre-set placement spaces. This approach offers greater flexibility and is particularly useful for situations where fiber optic sensors need to be added or replaced after winding is complete. Furthermore, inserting the sensors after winding is complete allows for more intuitive positioning, avoiding issues such as sensor displacement during the winding or lamination process.

[0102] When fixing the optical fiber sensor to the battery, an adhesive can be used. The adhesive should be made of a material with excellent insulation and stability, including but not limited to acrylic, rubber pressure-sensitive adhesive, hot melt adhesive, etc. After the fixation is completed, an integrated structure of the optical fiber sensor and battery monomer is formed.

[0103] Example 2

[0104] See also Figure 7 As shown, Figure 7 A structural schematic diagram of a fiber optic sensor battery system provided in the second embodiment of the present invention is shown, wherein the fiber optic sensor battery system includes a fiber optic sensor battery cell 701 obtained by the fiber optic sensor battery cell integration method described in any of the above embodiments, a battery management system 702 and a system box 703.

[0105] Specifically, the number of optical fiber sensor battery cells may be one or more.

[0106] In an alternative embodiment, see Figure 8 As shown, Figure 8 A schematic structural diagram of a battery management system provided in a second embodiment of the present invention is shown, wherein the battery management system includes a sensor data receiving unit 801 , a sensor data decoding unit 802 and a sensor data processing unit 803 .

[0107] The sensing data receiving unit is used to receive the target battery parameters of the battery collected by the optical fiber sensor in the optical fiber sensor battery cell.

[0108] Specifically, this unit's primary function is to receive target battery parameters collected by the fiber optic sensor in the battery cell. The fiber optic sensor continuously monitors various battery parameters and transmits this data in the form of a specific signal. The sensor data receiving unit must be able to accurately receive these signals, ensuring no data loss or misinterpretation, and providing accurate raw information for subsequent decoding and processing.

[0109] The sensing data decoding unit is used to decode the target battery parameters.

[0110] Specifically, since the data collected by fiber optic sensors is typically encoded, the sensor data decoding unit is responsible for decoding this encoded data. It converts the received signal into digital or analog data that can be recognized and understood by a computer or other processing device. Through decoding, the system can obtain the actual battery parameter values, such as specific temperature and air pressure values, preparing for further analysis and processing.

[0111] The sensor data processing unit is used to process and analyze the decoded target battery parameters, and perform battery fault diagnosis, cell-level management and parameter regulation based on the processing and analysis results.

[0112] Specifically, the sensor data processing unit performs in-depth processing and analysis on the decoded target battery parameters. This includes the following aspects:

[0113] Battery fault diagnosis: By analyzing battery parameters, it can determine whether there are battery faults or potential safety hazards. For example, if the battery temperature rises abnormally or the air pressure changes suddenly, the sensor data processing unit can determine based on preset rules and algorithms that the battery may have overheated, short-circuited, or other faults, and promptly issue an alarm signal.

[0114] Cell-level management: Each cell in the battery is individually managed and monitored. Different cells may have different performance. The sensor data processing unit can achieve balanced management of the cells based on their parameters, ensuring that each cell operates at its optimal state, thereby improving the overall performance and lifespan of the battery.

[0115] Parameter Control: Based on the results of the processing and analysis, the battery's operating parameters are adjusted. For example, if the battery temperature is detected to be too high, the system can reduce the battery temperature by adjusting the charge or discharge current, activating the cooling device, etc., to ensure that the battery operates within a safe operating range.

[0116] Example 3

[0117] Based on the same application concept, see Figure 9 As shown, Figure 9 FIG2 shows a schematic structural diagram of a vehicle provided in a third embodiment of the present invention, wherein the vehicle includes the optical fiber sensor battery system 901 and the early warning device 902 in any optional implementation manner shown in the second embodiment above;

[0118] The optical fiber sensor battery system is used to obtain target battery parameters of the battery.

[0119] Specifically, the vehicle is equipped with a fiber optic sensor battery system and an early warning device. The fiber optic sensor battery system integrates fiber optic sensing technology and battery management functions, while the early warning device issues an alarm when battery parameters are abnormal. The fiber optic sensor battery system is responsible for obtaining the battery's target battery parameters, including air pressure, temperature, stress, and gas. Using fiber optic sensors embedded in the battery cells and combined with test points determined by battery cell simulation, the system can accurately collect these parameters in real time, providing the vehicle with information on the battery's internal status and providing data support for subsequent analysis and decision-making.

[0120] The early warning device is used to trigger an alarm when the target battery parameter exceeds a preset threshold.

[0121] Specifically, the early warning device continuously monitors target battery parameters transmitted by the fiber optic sensor battery system. When a parameter exceeds a preset threshold based on the battery's safe operating range and performance characteristics, the early warning device immediately triggers an alarm with flashing lights and audible prompts, alerting the driver and vehicle management personnel so they can take timely measures to prevent the battery from deteriorating, ensuring the battery remains in a safe operating state while the vehicle is in motion, and improving the vehicle's overall safety and reliability.

[0122] The robotic inspection system provided in the embodiments of the present invention can be specific hardware on a device or software or firmware installed on the device. The implementation principles and technical effects of the system provided in the embodiments of the present invention are the same as those of the aforementioned method embodiments. For the sake of simplicity, any details not mentioned in the system embodiments can be referred to the corresponding contents of the aforementioned method embodiments. Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, the specific operating processes of the systems, devices, and units described above can all refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0123] In the embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. The system embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. There may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some communication interface, device or unit, which may be electrical, mechanical or other forms.

[0124] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0125] In addition, each functional unit in the embodiment provided by the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0126] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0127] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and are not to be understood as indicating or implying relative importance.

[0128] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or replace some of the technical features therein with equivalents. However, such modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. They should all be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A method for integrating a fiber optic sensor battery cell, characterized in that: The optical fiber sensor battery monomer integration method includes: Simulating a battery charge and discharge process, and selecting a plurality of target test points from test points of target battery parameters of the battery based on the simulation results, wherein the target battery parameters are air pressure, temperature, stress, or gas; Determine a blank area in the battery for placing the optical fiber sensor according to each target test point, and provide a placement space for the optical fiber sensor in the blank area by using a battery cell electrode blanking process; The optical fiber sensor is placed in the placement space, and the optical fiber sensor and the battery are fixed to obtain an optical fiber sensor battery monomer.

2. The method according to claim 1, characterized in that The method for simulating the battery charging and discharging process includes: Battery cell simulation includes electrochemical model simulation, equivalent circuit model simulation, thermoelectric coupling model simulation and finite element simulation.

3. The method according to claim 1, characterized in that The step of selecting a plurality of target test points from the test points of the battery based on the simulation results includes: The test point with the largest parameter change per unit time in the simulation results is determined as the target test point; Alternatively, for each test point, calculate the average level of parameter changes of other test points except the test point in the simulation results; A test point whose parameter change exceeds the average parameter change level of other test points by more than a preset percentage is determined as a target test point.

4. The method according to claim 1, wherein Determining a blank area in the battery for placing the optical fiber sensor according to each target test point includes: Determining a target cell layer where each target test point is located in the battery; In the target battery core layer, each target test point is connected through with a preset width to obtain the blank area.

5. The method according to claim 4, characterized in that The preset width is 1 to 3 mm.

6. The method according to claim 1, characterized in that The electrode blank coating process includes one or more of wet coating with blanking, dry composite blanking, and surface material removal after coating.

7. The method according to claim 1, characterized in that The step of placing the optical fiber sensor in the placement space and fixing the optical fiber sensor and the battery to obtain an optical fiber sensor battery monomer comprises: When the battery core is wound and reaches the placement space, the optical fiber sensor is attached to the placement space; Alternatively, when the battery stacking process reaches the placement space, the optical fiber sensor is attached to the placement space; Alternatively, after the battery core is wound, the optical fiber sensor is inserted into the placement space.

8. A fiber optic sensor battery system, characterized in that: The optical fiber sensor battery system includes an optical fiber sensor battery cell obtained by the optical fiber sensor battery cell integration method according to any one of claims 1 to 7, a battery management system, and a system box.

9. The optical fiber sensor battery system according to claim 8, characterized in that: The battery management system includes a sensor data receiving unit, a sensor data decoding unit and a sensor data processing unit; The sensing data receiving unit is used to receive the target battery parameters of the battery collected by the optical fiber sensor in the optical fiber sensor battery cell; The sensing data decoding unit is used to decode the target battery parameters; The sensor data processing unit is used to process and analyze the decoded target battery parameters, and perform battery fault diagnosis, cell-level management and parameter regulation based on the processing and analysis results.

10. A vehicle, characterized in that: The vehicle comprises the optical fiber sensor battery system and the warning device according to any one of claims 8 to 9; The optical fiber sensor battery system is used to obtain target battery parameters of the battery; The early warning device is used to trigger an alarm when the target battery parameter exceeds a preset threshold.

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