A polymer battery cell fastening intelligent analysis system and method

Abstract

The application discloses a kind of polymer electric core fastening intelligent analysis system and method, belong to battery manufacturing technical field, including data analysis module, data processing module, electric core extrusion device, state evaluation module, data statistical module;The data analysis module is used to analyze and calculate the length information of module to irregular electric core thickness, and the measurement of electric core temperature and actual density;The data processing module is used to analyze and predict by actual density information, temperature information and system data of electric core, and give pre-pressure value after processing;The electric core extrusion device refers to the device for completing extrusion purpose;The state evaluation module refers to the system after collecting the condition parameters of unqualified electric core extrusion, re-predicts, and gives the pre-pressure required for re-extrusion;The data statistical module is used to collect relevant data before and after extrusion, and after analysis and processing, it is stored in system, provides data support and reference for next operation.

Description

Technical Field

[0001] This invention relates to the field of battery manufacturing technology, specifically to a polymer cell fastening intelligent analysis system and method. Background Technology

[0002] Polymer cells are a type of lithium-ion battery cell, using aluminum-plastic film as the encapsulation material. Because the outer casing is made of a flexible material, when a short circuit causes the battery to swell, the polymer cell will at most crack or burn, without the direct destructive power of an explosion. They are commonly used in digital devices such as mobile phones and power banks, and are considered safer than aluminum-cased or cylindrical cells. Furthermore, because polymer cells use aluminum-plastic film packaging, they do not have a fixed shape, allowing for the manufacture of flat cells. They can also be assembled into batteries of different capacities to meet diverse customer needs. Common assembly methods include: The first method combines the cell with adhesive buffer material to form a cell module. This method requires adhesive buffer material with a wide temperature range and no fundamental change in bonding performance, especially at temperatures below -20℃ or even -40℃. Otherwise, the hardened adhesive buffer material will form sharp points that could puncture or damage the cell during the battery's expansion during charging and discharging. In high-temperature environments of 60℃ or even above 80℃, the adhesive buffer material can still hold the battery cell in place, ensuring that the cell does not slip during various operating conditions. This adhesive buffer material has stringent requirements and is very expensive. Furthermore, using this material makes the battery cell impossible to disassemble and recycle, which is detrimental to the environment. The second method involves embedding the battery cell within a plastic bracket, which is then connected to form a module. This method requires manufacturing a corresponding plastic mold for each battery cell, which is costly. Moreover, the plastic bracket assembly requires a large dimensional space, resulting in various forms of waste. Both of these methods leave excessive expansion space for the polymer battery cell. The battery cycle increase process is actually a process of thickness expansion. Excessive expansion space, coupled with the inability to control it in real time, leads to a loose cell interface, reduced battery cycle life, and failure to achieve the expected lifespan. Summary of the Invention

[0003] The purpose of this invention is to provide a polymer battery cell fastening intelligent analysis system and method to solve the problems mentioned in the background art.

[0004] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a polymer battery cell fastening intelligent analysis system, the intelligent analysis system including a data analysis module, a data processing module, a battery cell extrusion device, a status assessment module, and a data statistics module;

[0005] The data analysis module is used to analyze and predict the thickness of irregular battery cells, calculate the total length of the module, and measure the temperature and actual density information of the battery cells. The data processing module is used to compare the actual density and temperature information of the battery cells with the system data, process and calculate, and give a pre-pressure value. The battery cell extrusion device refers to the device that completes the extrusion purpose. The status evaluation module is used to re-predict the condition parameters of battery cells that fail extrusion and give the pre-pressure required for re-extrusion. The data statistics module is used to collect the condition parameters and result parameters after extrusion, digitize them, and perform big data statistics to provide data support and reference for the next operation.

[0006] The data analysis module includes a density measurement unit, a length calculation unit, and a temperature measurement unit;

[0007] The density measurement unit is used to calculate the actual density of all cells. All cells that need to be squeezed are weighed by a weighing instrument, and the weight data is transmitted to the system. Then, the cells to be tested are placed into the corresponding channels of the equipment one by one using an in-situ volume monitoring instrument. The MISG software is opened, and the cell number and sampling frequency parameters corresponding to each channel are set. The software automatically reads the volume parameters and calculates the actual density of the cells according to the formula.

[0008] The selection of weighing and volume measurement equipment is crucial. If the measured data is not accurate enough, it will lead to a large deviation between the theoretical actual density of the battery cell calculated in the early stage and the actual value, which will affect the subsequent extrusion pre-pressure calculation and ultimately lead to the failure of battery cell extrusion.

[0009] The length calculation unit is used to calculate the preset cell module length. Based on the cell weight data transmitted from the density measurement unit, it performs formula calculations with the qualified density of the same model in the system and the average area of ​​the stress surface to calculate the theoretical thickness of the cell after compression. Then, it adds the theoretical thickness of the cell after compression to the preset cell module length margin to calculate the preset cell module length of the device. The preset cell module length margin is generally 2mm or 4mm. It should be noted that:

[0010] The area of ​​the force-bearing surface refers to the size of the side of the battery cell that is being squeezed after the squeezing is completed and meets the requirements. The average area of ​​the force-bearing surface refers to the average of the areas of the force-bearing surfaces of multiple battery cells after they have been squeezed, which is used to calculate the theoretical average area of ​​the force-bearing surface.

[0011] The temperature measurement unit is used to measure the temperature of the battery cell. The temperature of the battery cell is measured by a temperature measuring instrument to obtain a stable value, and the data is transmitted into the system for subsequent result calculation.

[0012] The above technical solutions can achieve accurate prediction of the length of the battery cell module and precise information on the battery cell temperature and actual density, which greatly improves the success rate of subsequent extrusion operations.

[0013] The data processing module includes a pressure calculation unit;

[0014] The pressure calculation unit needs to compare the actual cell density and temperature information with system data. If there are similar cases with acceptable extrusion conditions, the pre-pressure value set in those cases is used. Otherwise, the pre-pressure value is dynamically predicted based on the condition information. For example:

[0015] The system automatically records the condition parameters for each successful extrusion (actual cell density, cell module length, cell temperature, and pre-pressure value), and expresses the relationship between these condition parameters using a ternary linear equation. When the next extrusion requires setting a pre-pressure value, under the same conditions, the system automatically provides the pre-pressure value of successful cases; under different conditions, the system calculates the pre-pressure value by substituting the data of actual cell density, cell module length, and cell temperature into the formula.

[0016] The above technical solutions can achieve scientific prediction of pre-stress. Under existing conditions, the intelligent prediction algorithm of the system can provide a relatively reasonable pre-stress as much as possible, thereby reducing the failure probability of cell extrusion.

[0017] The cell extrusion device includes a control console, a cell support mechanism, and a pressing mechanism;

[0018] The control console refers to an operating console with run, stop, advance, and rewind control buttons; the cell support mechanism refers to a device set on the workbench for supporting the cell, and a downward pressing channel is formed on the cell support mechanism; the pressing mechanism refers to a device set above the cell support mechanism, and the pressing mechanism is configured to press down on the cell supported on the cell support mechanism.

[0019] The above technical solution can be used to extrude battery cell modules.

[0020] The state assessment module includes a short assessment unit and a long assessment unit;

[0021] The aforementioned shortness assessment unit refers to the system automatically recording relevant parameter information for cases where the module length after cell extrusion is less than the set length. Simultaneously, the system compares the results with qualified cases after re-extrusion in the database. If the conditions are the same, the system provides the pre-pressure value set for the qualified case. If the conditions are not the same, the system calculates the pre-pressure value by substituting data such as the actual cell density, cell module length, and cell temperature into the formula.

[0022] The aforementioned length assessment unit refers to the system automatically recording relevant parameter information for cases where the module length after cell extrusion exceeds the set length. Simultaneously, the system compares the results with qualified cases after re-extrusion in the database. If the conditions are the same, the system provides the pre-pressure value set for the qualified case. If the conditions are not the same, the system calculates the pre-pressure value by substituting data such as the actual cell density, cell module length, and cell temperature into the formula.

[0023] The above technical solution enables the system to re-evaluate cases of non-compliance during extrusion, and by comparing the existing data in the system, it can more accurately predict new pre-pressure values.

[0024] The data statistics module includes a data collection unit and a data processing unit;

[0025] The information collection unit is connected to the data processing module and the status evaluation module. It can receive the extrusion-related condition parameters transmitted by the data processing module, as well as the result parameters corresponding to the above condition parameters received by the status evaluation module. At the same time, it will also record the extrusion-related condition parameters and the corresponding result parameters of the status evaluation module. Regardless of whether it is qualified or not, the system will record and collect the data, classify and summarize it, and then transmit it to the data processing unit.

[0026] The data processing unit performs final analysis and processing on the data transmitted from the data collection unit, and then stores the results in the system database, for example:

[0027] 1. The system automatically records the relevant condition parameters of one or more qualified cases, providing a reference range for the next case under the same conditions.

[0028] 2. The system automatically records the relevant condition parameters of one or more qualified cases, and uses these parameters to continuously improve the underlying formula, making the next calculation result more accurate.

[0029] 3. The system automatically records failure cases and avoids using the same values ​​under the same conditions in the future, thus narrowing the range of values ​​for the pre-pressure value.

[0030] 4. If the system finds that when the cell temperature is the same but the actual density is different, the predicted pressure value will result in the module length after the cell is squeezed being less than or greater than the set length during the actual extrusion process, then the predicted pressure value given by the system under the same conditions will be smaller or larger than before, even if it is within a reasonable range.

[0031] 5. If the system finds that, under the same actual cell density but different temperatures, the predicted pressure value given in the previous case resulted in the module length after cell extrusion being less than or greater than the set length, then the predicted pressure value given by the system under the same conditions will be smaller or larger than before, even if it is within a reasonable range.

[0032] The above technical solution enables the system to learn intelligently. By analyzing and processing massive amounts of data, it obtains relevant condition parameters for a large number of qualified cases, continuously narrows the value range under different conditions, and improves the formula relating cell actual density, cell temperature, and pre-pressure value. The more data available, the more accurate the prediction of the pre-pressure value will be in the later stages.

[0033] A smart analysis method for polymer battery cell fastening includes the following steps:

[0034] S1 measures relevant information about the battery cell;

[0035] S2 calculates the length of the battery cell module;

[0036] S3 sets the relevant parameters for the device;

[0037] S4 extruded battery cell module;

[0038] S5 performs status assessment on the module;

[0039] S6 fastening module.

[0040] In S1, the cell-related information refers to the actual density and temperature information of the cell. The actual mass M of all cells to be compressed is measured using a weighing instrument, and the volume V of all cells to be compressed is measured using an in-situ volume monitoring instrument. The actual cell density can then be calculated as P = M / V, where P is the actual cell density, M is the cell mass, and V is the cell volume. Temperature measurement refers to the process of measuring the temperature of the cell using a temperature measuring instrument. It should be noted that:

[0041] 1. The temperature measuring equipment requires high precision, with a repeatability error of less than ±1℃.

[0042] 2. Temperature measuring equipment must have the ability to penetrate the surface, meaning it cannot only measure the external surface temperature; the internal temperature is equally important. If the internal and external temperatures are inconsistent, the internal temperature shall prevail.

[0043] 3. Take multiple measurements and use the average value as the final result.

[0044] Because battery cells are affected by thermal expansion and contraction, their density is lower and their volume is larger at high temperatures, and their density is higher and their volume is smaller at low temperatures. Therefore, the temperature measurement results are crucial for subsequent calculations.

[0045] The above technical solution enables the collection of relevant information about the battery cell before extrusion, facilitating the system's collection and calculation of relevant parameters.

[0046] In S2, the length of the battery cell module refers to the preset length of the battery cell module after extrusion. Based on the actual mass M of the battery cell, the qualified density P of the same model in the system is found. Applying the formula V = M / P, where V is the volume, M is the mass, and P is the density, the theoretical volume V of the battery cell after compression is obtained. Then, the theoretical thickness of the battery cell can be obtained as T = V / S, where V is the theoretical volume of the battery cell after compression, S is the average area of ​​the force-bearing surface of the battery cell after extrusion, and T is the theoretical thickness of the battery cell. The length of the battery cell module can be obtained as L = T + N, where L is the preset length of the battery cell module after extrusion, T is the theoretical thickness of the battery cell, and N is the length margin of the battery cell module.

[0047] The qualified density P retained in the system is not a fixed value; it will automatically be averaged based on the qualified density value recorded each time and the density value in the historical records of the same model.

[0048] The average area S of the stress surface retained in the system is not a fixed value either. It will automatically take the average of the area of ​​the qualified stress surface recorded each time and the area of ​​the stress surface in the historical records of the same model.

[0049] The preset length margin for the battery cell module is generally 2mm or 4mm, which is usually used to place a buffer pad. The function of the pad is:

[0050] 1. Buffering effect: When the pressure between the battery cells is too high, the thickness of the gasket is compressed and reduced, alleviating the physical pressure on the battery cells. At the same time, the thickness of the gasket can balance and compensate for the changes in battery cell thickness caused by different charges during charging and discharging, so that the force between the battery cells inside the module is consistent.

[0051] 2. Flame retardant effect: When the battery cell is working, if the temperature is too high, the gasket will absorb some heat. Since its own material is not easily combustible, it can prevent cross-ignition between battery cells.

[0052] 3. Increased friction: The addition of spacers between battery cells makes the battery cell module more stable during the extrusion process, preventing it from loosening and slipping.

[0053] 4. Isolation function: During the extrusion process, the gaskets isolate the battery cells, preventing them from being crushed or stuck together due to excessive pressure.

[0054] When selecting cushioning pads, flame-retardant materials with shrinkage resistance, such as EVA, EPS, and silicone sheets, can be used.

[0055] The above technical solution can predict the length of the battery cell module, which facilitates the analysis and calculation of the pre-stress in the later stage.

[0056] In S3, the relevant parameter of the device is the pre-pressure value; under normal circumstances, the pre-pressure value ranges from 2000N to 4000N. The specific value is determined based on the actual density of the battery cell and the pre-pressure value given by the temperature reference system. At the same time, it should be noted that the pre-pressure value should not exceed the maximum pressure that the battery cell can withstand, otherwise it will cause irreparable damage to the battery cell.

[0057] The above technical solution can predict the force to be applied by the extrusion equipment and complete the pre-extrusion work.

[0058] In S4, the extruded battery cell module is extruded using an extrusion device, which includes a control console, a battery cell bearing mechanism, and a pressing mechanism. During use, the side pull plate and the bottom plate need to be initially fixed with screws, then placed on one end of the fastening fixture, with the movable positioning buckle of the other fixture engaged. Next, multiple battery cells are placed, and an upper pressure plate is placed at the other end. A thickness compensation piece is placed between the battery cells and the upper pressure plate. Another upper pull plate is placed on the other side, and the movable positioning buckle is engaged. The extrusion equipment is started, and the equipment moves a fixed length to extrude the battery cells. At this point, three situations may occur:

[0059] Scenario A: Once the cell module length reaches the target, proceed directly to the module fastening step;

[0060] In case B, the length of the battery cell module is shorter than expected, and the next step of status assessment should be carried out.

[0061] In case C, the length of the battery cell module is longer than expected, and the next step of status assessment should be carried out.

[0062] The above technical solution can achieve physical extrusion of the battery cell module and complete the extrusion process.

[0063] In S5, the state assessment includes shortness assessment and length assessment. Shortness assessment refers to the situation where the module length after cell extrusion is less than the set length. In this case, the thickness of the thickness compensation piece is reduced, for example, by 1mm, to reach the preset range. After that, the system automatically collects relevant condition parameters and makes a new prediction, gives the pre-pressure required for the next extrusion, and then returns to the previous step to complete the extrusion operation again. Length assessment refers to the situation where the module length after cell extrusion is greater than the set length. In this case, the thickness of the thickness compensation piece is increased, for example, by 3mm, to reach the preset range. After that, the system automatically collects relevant condition parameters and makes a new prediction, gives the pre-pressure required for the next extrusion, and then returns to the previous step to complete the extrusion operation again.

[0064] The above technical solution can be used to re-estimate the pre-pressure value in the event that the battery cell module is not qualified after extrusion, so that the battery cell module can meet the qualification conditions.

[0065] In S6, fastening the module refers to the process of sequentially fastening the battery cell module after it has passed the extrusion test. First, the upper pull plate is placed and then screwed in to secure it. Next, it is rotated 90 degrees to loosen the positioning buckle and the side pull plate is screwed in to secure it. Then, it is rotated 180 degrees to secure the other side pull plate with screws. Finally, the machine is started to release the extrusion and positioning of the battery cell module. The battery cell module is then removed and the bottom of the module is screwed in to secure it, achieving full-range fastening of the battery cell module.

[0066] The above technical solutions transform battery cells into modules and structural components, altering the fragility of polymer battery cell structures and enabling unlimited scalability of battery cell modules. Battery cell modules can be connected in series and parallel, allowing for free combination of voltage and capacity. Furthermore, the pre-stress applied to the cells improves the adhesion between the positive and negative electrode interfaces, reducing electrolyte consumption and enhancing battery cycle performance. During recycling, the battery cell modules can also be disassembled for secondary recycling of the cells, expanding the flexibility of recycling and reducing resource waste.

[0067] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0068] 1. This invention achieves scientific calculation and accurate prediction of battery cell module length and equipment pre-pressure parameters through an intelligent analysis system. It can automatically narrow the value range and avoid unqualified parameters based on the condition parameters and result parameters of qualified and unqualified after extrusion, continuously improve the internal relational formula, realize the automatic learning function of the system, reduce the extrusion failure rate of battery cell modules, and reduce resource waste.

[0069] 2. The battery cell in this invention is formed by mechanical extrusion, which can eliminate wrinkles in the internal separator material, expel internal air, improve the flatness of the battery cell, enhance hardness, reduce thickness, and lower internal resistance.

[0070] 3. In this invention, battery cells are assembled into modules to form structural components, thereby changing the fragility of polymer battery cell structures and realizing the infinite scalability of battery cell modules, enabling free combination of voltage and capacity.

[0071] 4. The battery cell in this invention is protected by a plastic insulating sheath, which can eliminate the influence of foreign objects such as splashed flux, circuit board debris, conductors, and dust, and has good waterproof function, thus achieving high reliability of communication contact.

[0072] 5. When the battery cell module in this invention is soldered onto the PCB, it is fitted with an outer plastic sheath, making the entire product a sealed unit. The opening fits tightly with the casing, giving the product better resistance to EMI electromagnetic interference, resulting in faster and more efficient data transmission and charging. Attached Figure Description

[0073] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0074] Figure 1 This is a schematic diagram of the structure of a polymer battery cell fastening intelligent analysis system and method according to the present invention;

[0075] Figure 2 This is a flowchart illustrating the intelligent analysis system and method for polymer cell fastening according to the present invention.

[0076] Figure 3 This is a diagram of the extrusion equipment for a polymer battery cell fastening intelligent analysis system and method according to the present invention;

[0077] Figure 4 This is a cell module diagram of the intelligent analysis system and method for polymer cell fastening according to the present invention. Detailed Implementation

[0078] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0079] Example 1: Please refer to Figures 1-2 The present invention provides a technical solution: a polymer battery cell fastening intelligent analysis system, which includes a data analysis module, a data processing module, a battery cell extrusion device, a status assessment module, and a data statistics module.

[0080] The data analysis module is used to analyze and predict the thickness of irregular battery cells, calculate the total length of the module, and measure the temperature and actual density information of the battery cells. The data processing module is used to compare the actual density and temperature information of the battery cells with the system data, process and calculate, and give a pre-pressure value. The battery cell extrusion device refers to the device that completes the extrusion purpose. The status evaluation module is used to re-predict the condition parameters of battery cells that fail extrusion and give the pre-pressure required for re-extrusion. The data statistics module is used to collect the condition parameters and result parameters after extrusion, digitize them, and perform big data statistics to provide data support and reference for the next operation.

[0081] The data analysis module includes a density measurement unit, a length calculation unit, and a temperature measurement unit;

[0082] The density measurement unit is used to calculate the actual density of all cells. All cells that need to be squeezed are weighed by a weighing instrument, and the weight data is transmitted to the system. Then, the cells to be tested are placed into the corresponding channels of the equipment one by one using an in-situ volume monitoring instrument. The MISG software is opened, and the cell number and sampling frequency parameters corresponding to each channel are set. The software automatically reads the volume parameters and calculates the actual density of the cells according to the formula.

[0083] The selection of weighing and volume measurement equipment is crucial. If the measured data is not accurate enough, it will lead to a large deviation between the theoretical actual density of the battery cell calculated in the early stage and the actual value, which will affect the subsequent extrusion pre-pressure calculation and ultimately lead to the failure of battery cell extrusion.

[0084] The length calculation unit is used to calculate the preset cell module length. Based on the cell weight data transmitted from the density measurement unit, it performs formula calculations with the qualified density of the same model in the system and the average area of ​​the stress surface to calculate the theoretical thickness of the cell after compression. Then, it adds the theoretical thickness of the cell after compression to the preset cell module length margin to calculate the preset cell module length of the device. The preset cell module length margin is generally 2mm or 4mm. It should be noted that:

[0085] The area of ​​the force-bearing surface refers to the size of the side of the battery cell that is being squeezed after the squeezing is completed and meets the requirements. The average area of ​​the force-bearing surface refers to the average of the areas of the force-bearing surfaces of multiple battery cells after they have been squeezed, which is used to calculate the theoretical average area of ​​the force-bearing surface.

[0086] The temperature measurement unit is used to measure the temperature of the battery cell. The temperature of the battery cell is measured by a temperature measuring instrument to obtain a stable value, and the data is transmitted into the system for subsequent result calculation.

[0087] The above technical solutions can achieve accurate prediction of the length of the battery cell module and precise information on the battery cell temperature and actual density, which greatly improves the success rate of subsequent extrusion operations.

[0088] The data processing module includes a pressure calculation unit;

[0089] The pressure calculation unit needs to compare the actual cell density and temperature information with system data. If there are similar cases with acceptable extrusion conditions, the pre-pressure value set in those cases is used. Otherwise, the pre-pressure value is dynamically predicted based on the condition information. For example:

[0090] The system automatically records the condition parameters for each successful extrusion (actual cell density, cell module length, cell temperature, and pre-pressure value), and expresses the relationship between these condition parameters using a ternary linear equation. When the next extrusion requires setting a pre-pressure value, under the same conditions, the system automatically provides the pre-pressure value of successful cases; under different conditions, the system calculates the pre-pressure value by substituting the data of actual cell density, cell module length, and cell temperature into the formula.

[0091] The above technical solutions can achieve scientific prediction of pre-stress. Under existing conditions, the intelligent prediction algorithm of the system can provide a relatively reasonable pre-stress as much as possible, thereby reducing the failure probability of cell extrusion.

[0092] The cell extrusion device includes a control console, a cell support mechanism, and a pressing mechanism;

[0093] The control console refers to an operating console with run, stop, advance, and rewind control buttons; the cell support mechanism refers to a device set on the workbench for supporting the cell, and a downward pressing channel is formed on the cell support mechanism; the pressing mechanism refers to a device set above the cell support mechanism, and the pressing mechanism is configured to press down on the cell supported on the cell support mechanism.

[0094] The above technical solution can be used to extrude battery cell modules.

[0095] The state assessment module includes a short assessment unit and a long assessment unit;

[0096] The aforementioned shortness assessment unit refers to the system automatically recording relevant parameter information for cases where the module length after cell extrusion is less than the set length. Simultaneously, the system compares the results with qualified cases after re-extrusion in the database. If the conditions are the same, the system provides the pre-pressure value set for the qualified case. If the conditions are not the same, the system calculates the pre-pressure value by substituting data such as the actual cell density, cell module length, and cell temperature into the formula.

[0097] The aforementioned length assessment unit refers to the system automatically recording relevant parameter information for cases where the module length after cell extrusion exceeds the set length. Simultaneously, the system compares the results with qualified cases after re-extrusion in the database. If the conditions are the same, the system provides the pre-pressure value set for the qualified case. If the conditions are not the same, the system calculates the pre-pressure value by substituting data such as the actual cell density, cell module length, and cell temperature into the formula.

[0098] The above technical solution enables the system to re-evaluate cases of non-compliance during extrusion, and by comparing the existing data in the system, it can more accurately predict new pre-pressure values.

[0099] The data statistics module includes a data collection unit and a data processing unit;

[0100] The information collection unit is connected to the data processing module and the status evaluation module. It can receive the extrusion-related condition parameters transmitted by the data processing module, as well as the result parameters corresponding to the above condition parameters received by the status evaluation module. At the same time, it will also record the extrusion-related condition parameters and the corresponding result parameters of the status evaluation module. Regardless of whether it is qualified or not, the system will record and collect the data, classify and summarize it, and then transmit it to the data processing unit.

[0101] The data processing unit performs final analysis and processing on the data transmitted from the data collection unit, and then stores the results in the system database, for example:

[0102] 1. The system automatically records the relevant condition parameters of one or more qualified cases, providing a reference range for the next case under the same conditions.

[0103] 2. The system automatically records the relevant condition parameters of one or more qualified cases, and uses these parameters to continuously improve the underlying formula, making the next calculation result more accurate.

[0104] 3. The system automatically records failure cases and avoids using the same values ​​under the same conditions in the future, thus narrowing the range of values ​​for the pre-pressure value.

[0105] 4. If the system finds that when the cell temperature is the same but the actual density is different, the predicted pressure value will result in the module length after the cell is squeezed being less than or greater than the set length during the actual extrusion process, then the predicted pressure value given by the system under the same conditions will be smaller or larger than before, even if it is within a reasonable range.

[0106] 5. If the system finds that, under the same actual cell density but different temperatures, the predicted pressure value given in the previous case resulted in the module length after cell extrusion being less than or greater than the set length, then the predicted pressure value given by the system under the same conditions will be smaller or larger than before, even if it is within a reasonable range.

[0107] The above technical solution enables the system to learn intelligently. By analyzing and processing massive amounts of data, it obtains relevant condition parameters for a large number of qualified cases, continuously narrows the value range under different conditions, and improves the formula relating cell actual density, cell temperature, and pre-pressure value. The more data available, the more accurate the prediction of the pre-pressure value will be in the later stages.

[0108] A smart analysis method for polymer battery cell fastening includes the following steps:

[0109] S1 measures relevant information about the battery cell;

[0110] S2 calculates the length of the battery cell module;

[0111] S3 sets the relevant parameters for the device;

[0112] S4 extruded battery cell module;

[0113] S5 performs status assessment on the module;

[0114] S6 fastening module.

[0115] In S1, the cell-related information refers to the actual density and temperature information of the cell. The actual mass M of all cells to be compressed is measured using a weighing instrument, and the volume V of all cells to be compressed is measured using an in-situ volume monitoring instrument. The actual cell density can then be calculated as P = M / V, where P is the actual cell density, M is the cell mass, and V is the cell volume. Temperature measurement refers to the process of measuring the temperature of the cell using a temperature measuring instrument. It should be noted that:

[0116] 1. The temperature measuring equipment requires high precision, with a repeatability error of less than ±1℃.

[0117] 2. Temperature measuring equipment must have the ability to penetrate the surface, meaning it cannot only measure the external surface temperature; the internal temperature is equally important. If the internal and external temperatures are inconsistent, the internal temperature shall prevail.

[0118] 3. Take multiple measurements and use the average value as the final result.

[0119] Because battery cells are affected by thermal expansion and contraction, their density is lower and their volume is larger at high temperatures, and their density is higher and their volume is smaller at low temperatures. Therefore, the temperature measurement results are crucial for subsequent calculations.

[0120] The above technical solution enables the collection of relevant information about the battery cell before extrusion, facilitating the system's collection and calculation of relevant parameters.

[0121] In S2, the length of the battery cell module refers to the preset length of the battery cell module after extrusion. Based on the actual mass M of the battery cell, the qualified density P of the same model in the system is found. Applying the formula V = M / P, where V is the volume, M is the mass, and P is the density, the theoretical volume V of the battery cell after compression is obtained. Then, the theoretical thickness of the battery cell can be obtained as T = V / S, where V is the theoretical volume of the battery cell after compression, S is the average area of ​​the force-bearing surface of the battery cell after extrusion, and T is the theoretical thickness of the battery cell. The length of the battery cell module can be obtained as L = T + N, where L is the preset length of the battery cell module after extrusion, T is the theoretical thickness of the battery cell, and N is the length margin of the battery cell module.

[0122] The qualified density P retained in the system is not a fixed value; it will automatically be averaged based on the qualified density value recorded each time and the density value in the historical records of the same model.

[0123] The average area S of the stress surface retained in the system is not a fixed value either. It will automatically take the average of the area of ​​the qualified stress surface recorded each time and the area of ​​the stress surface in the historical records of the same model.

[0124] The preset length margin for the battery cell module is generally 2mm or 4mm, which is usually used to place a buffer pad. The function of the pad is:

[0125] 1. Pressure buffering effect: When the pressure between the cells is too high, the thickness of the gasket is squeezed thinner, reducing the physical pressure on the cells.

[0126] 2. Flame retardant effect: When the battery cell is working, if the temperature is too high, the gasket will absorb some heat. Since its own material is not easily combustible, it can prevent cross-ignition between battery cells.

[0127] 3. Increased friction: The addition of spacers between battery cells makes the battery cell module more stable during the extrusion process, preventing it from loosening and slipping.

[0128] 4. Isolation function: During the extrusion process, the gaskets isolate the battery cells, preventing them from breaking or sticking together due to excessive pressure.

[0129] When selecting cushioning pads, flame-retardant materials with shrinkage resistance, such as EVA, EPS, and silicone sheets, can be used.

[0130] The above technical solution can predict the length of the battery cell module, which facilitates the analysis and calculation of the pre-stress in the later stage.

[0131] In S3, the relevant parameter of the device is the pre-pressure value; under normal circumstances, the pre-pressure value ranges from 2000N to 4000N. The specific value is determined based on the actual density of the battery cell and the pre-pressure value given by the temperature reference system. At the same time, it should be noted that the pre-pressure value should not exceed the maximum pressure that the battery cell can withstand, otherwise it will cause irreparable damage to the battery cell.

[0132] The above technical solution can predict the force to be applied by the extrusion equipment and complete the pre-extrusion work.

[0133] Please see Figure 3In S4, the extruded battery cell module is extruded using an extrusion device, which includes a control console, a battery cell bearing mechanism, and a pressing mechanism. During use, the side pull plate and the bottom plate need to be initially fixed with screws, then placed on one end of the fastening fixture, with the movable positioning buckle of the other fixture engaged. Next, multiple battery cells are placed, and an upper pressure plate is placed at the other end. A thickness compensation piece is placed between the battery cells and the upper pressure plate. Another upper pull plate is placed on the other side, and the movable positioning buckle is engaged. The extrusion equipment is started, and the equipment moves a fixed length to extrude the battery cells. At this point, three situations may occur:

[0134] Scenario A: Once the cell module length reaches the target, proceed directly to the module fastening step;

[0135] In case B, the length of the battery cell module is shorter than expected, and the next step of status assessment should be carried out.

[0136] In case C, the length of the battery cell module is longer than expected, and the next step of status assessment should be carried out.

[0137] The above technical solution can achieve physical extrusion of the battery cell module and complete the extrusion process.

[0138] In S5, the state assessment includes shortness assessment and length assessment. Shortness assessment refers to the situation where the module length after cell extrusion is less than the set length. In this case, the thickness of the thickness compensation piece is reduced, for example, by 1mm, to reach the preset range. After that, the system automatically collects relevant condition parameters and makes a new prediction, gives the pre-pressure required for the next extrusion, and then returns to the previous step to complete the extrusion operation again. Length assessment refers to the situation where the module length after cell extrusion is greater than the set length. In this case, the thickness of the thickness compensation piece is increased, for example, by 3mm, to reach the preset range. After that, the system automatically collects relevant condition parameters and makes a new prediction, gives the pre-pressure required for the next extrusion, and then returns to the previous step to complete the extrusion operation again.

[0139] The above technical solution can be used to re-estimate the pre-pressure value in the event that the battery cell module is not qualified after extrusion, so that the battery cell module can meet the qualification conditions.

[0140] Please see Figure 4 In S6, fastening the module refers to the process of sequentially fastening the battery cell module after it has passed the extrusion test. First, place the upper pull plate and then tighten it with screws. Next, rotate it 90 degrees to loosen the positioning buckle and tighten the screws on the side pull plate. Continue rotating it 180 degrees and tighten the screws on the other side pull plate. Finally, press the start button to release the extrusion and positioning of the battery cell module. Remove the battery cell module and tighten the screws on the bottom of the battery cell module to achieve all-round fastening of the battery cell module.

[0141] The above technical solutions transform battery cells into modules and structural components, altering the fragility of polymer battery cell structures and enabling unlimited scalability of battery cell modules. Battery cell modules can be connected in series and parallel, allowing for free combination of voltage and capacity. Furthermore, the pre-stress applied to the cells improves the adhesion between the positive and negative electrode interfaces, reducing electrolyte consumption and enhancing battery cycle performance. During recycling, the battery cell modules can also be disassembled for secondary recycling of the cells, expanding the flexibility of recycling and reducing resource waste.

[0142] Example 2: The volume of all cells requiring compression can be measured using the water displacement method. The specific steps are as follows:

[0143] S1. Use a plastic film to insulate and seal the battery cell tabs;

[0144] S2. Place the battery cell, which is sealed with plastic film, into a measuring cup containing a certain amount of liquid;

[0145] S3. Calculate the actual volume of the battery cell using the weight difference and the liquid density.

[0146] In S2, the liquid is non-conductive and can be selected from silicone oil, transformer oil, vegetable oil, and mineral oil. The measuring cup refers to a container with a special structure, which has a main body (bottle body) that can hold the battery cell and a neck with a cross-sectional area much smaller than the maximum cross-sectional area of ​​the container. The main body of the container has a detachable sealing connection, which allows the battery cell to be placed inside the container by opening the sealing connection. The neck has a cross-sectional area much smaller than the maximum cross-sectional area of ​​the container, and the container needs to be filled with liquid during the measurement process, which helps to improve the measurement accuracy.

[0147] The above technical solutions can greatly reduce the influence of measuring tools on measurement results and improve measurement accuracy.

[0148] In S3, the calculation of the actual volume of the battery cell refers to: first, weighing the battery cell and recording it as m1; filling the container for measuring the battery cell volume with a liquid of density ρ and weighing it, recording it as m2; then pouring out the liquid from the measuring container, opening the detachable sealing connection and placing the weighed battery cell in, sealing the connection, and adding liquid to the measuring container until it is nearly full through the inlet (i.e., the opening on the neck of the container); placing the entire container on an electronic balance, using a dropper to fill it with liquid through the inlet and weighing it to obtain its total weight m3, then the volume of the battery cell can be obtained by the following formula: V=(m1+m2-m3) / ρ, where V is the actual volume of the battery cell, m1 is the weight of the battery cell, m2 is the weight of the container after it is filled with liquid, m3 is the weight of the container after the battery cell is placed in it and the liquid is filled, and p is the density of the liquid;

[0149] By introducing a measuring cup with a small bottleneck cross-sectional area, the volume of the battery cell can be measured, thereby reducing the measurement error of the liquid volume discharged from the soft-pack lithium battery and making the measurement results more accurate.

[0150] 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 process, method, article, or apparatus.

[0151] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A polymer battery cell fastening intelligent analysis system, characterized in that: The intelligent analysis system includes a data analysis module, a data processing module, a cell extrusion device, a status assessment module, and a data statistics module; The data analysis module is used to analyze and predict the thickness of irregular battery cells, calculate the total length of the module, and measure the temperature and actual density information of the battery cells. The data processing module is used to compare the actual density and temperature information of the battery cells with the system data, process and calculate, and give a pre-pressure value. The battery cell extrusion device refers to the device that completes the extrusion purpose. The status evaluation module is used to re-predict the condition parameters of battery cells that fail extrusion and give the pre-pressure required for re-extrusion. The data statistics module is used to collect the condition parameters and result parameters after extrusion, digitize them, and perform big data statistics to provide data support and reference for the next operation.

2. The polymer cell fastening intelligent analysis system according to claim 1, characterized in that: The data analysis module includes a density measurement unit, a length calculation unit, and a temperature measurement unit; The density measurement unit refers to the unit that calculates the actual density of the battery cell based on its actual weight and volume. The length calculation unit calculates the theoretical thickness of the compressed battery cell by measuring its actual weight, the qualified density of the same model in the system, and the average area of ​​the force-bearing surface after compression. This thickness is then added to the battery cell module length margin to calculate the preset battery cell module length of the device. The temperature measurement unit requires precise measurement of the battery cell temperature using a temperature measuring device to obtain data.

3. The polymer cell fastening intelligent analysis system according to claim 1, characterized in that: The data processing module includes a pressure calculation unit; The pressure calculation unit needs to dynamically calculate the pre-pressure value by comparing the actual density and temperature information of the battery cell with the system data.

4. The polymer cell fastening intelligent analysis system according to claim 1, characterized in that: The battery cell extrusion device includes a control console, a battery cell carrying mechanism, and a pressing mechanism; The control console refers to an operating console with run, stop, advance, and rewind control buttons; the cell support mechanism refers to a device set on the workbench for supporting the cell, and a downward pressure channel is formed on the cell support mechanism. The pressing mechanism is located above the cell support mechanism and is configured to press down on the cell supported by the cell support mechanism.

5. The polymer cell fastening intelligent analysis system according to claim 1, characterized in that: The status assessment module includes short assessment units and long assessment units; The shortness assessment unit refers to the system re-predicting the condition parameters of the battery cell that failed extrusion when the module length after extrusion is less than the set length, and providing the pre-pressure required for re-extrusion; the longness assessment unit refers to the system re-predicting the condition parameters of the battery cell that failed extrusion when the module length after extrusion is greater than the set length, and providing the pre-pressure required for re-extrusion.

6. The polymer cell fastening intelligent analysis system according to claim 1, characterized in that: The data statistics module includes a data collection unit and a data processing unit; The information collection unit is connected to the data processing module and the status assessment module. After receiving and classifying the information transmitted from each module, it transmits it to the data processing unit. The data processing unit performs final analysis and processing on the data transmitted from the data collection unit and stores the results in the database.

7. A smart analysis method for polymer battery cell fastening, characterized in that, The polymer cell fastening intelligent analysis method is applied to the polymer cell fastening intelligent analysis system according to any one of claims 1 to 6, and the intelligent analysis method includes the following steps: S1 measures relevant information about the battery cell; S2 calculates the module length; S3 sets the relevant parameters for the device; S4 extruded battery cell module; S5 performs status assessment on the module; S6 fastening module.

8. The intelligent analysis method for polymer cell fastening according to claim 7, characterized in that: In S1, the relevant information of the battery cell includes density measurement and temperature measurement; density refers to the actual density of the battery cell calculated by measuring the actual weight M and volume V of the battery cell, which is P = M / V, where P is the actual density of the battery cell, M is the actual weight of the battery cell, and V is the actual volume of the battery cell; temperature measurement refers to measuring the temperature of the battery cell through a temperature measuring device.

9. The intelligent analysis method for polymer cell fastening according to claim 7, characterized in that: In S3, the relevant parameter of the equipment is the pre-pressure value; the pre-pressure value ranges from 2000N to 4000N, and the specific value is dynamically predicted by the system based on the actual density and temperature of the battery cell.

10. The intelligent analysis method for polymer cell fastening according to claim 7, characterized in that: In S5, the status assessment includes shortness assessment and length assessment. Shortness assessment refers to the situation where the module length after cell extrusion is less than the set length. In this case, the system automatically records the condition parameters and result parameters for this non-compliance. Simultaneously, it re-predicts the pre-pressure value based on the actual density and temperature of the extruded cell. Length assessment refers to the situation where the module length after cell extrusion is greater than the set length. In this case, the system automatically records the condition parameters and result parameters for this non-compliance. Simultaneously, it re-predicts the pre-pressure value based on the actual density and temperature of the extruded cell.

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