Lithium battery winding control method, device and equipment and medium

By dynamically calculating the total material thickness and cell diameter during the lithium battery winding process, and adjusting the winding needle angular velocity in real time, the tension fluctuation problem caused by traditional constant angular velocity winding is solved, thereby improving the production quality and efficiency of lithium batteries.

CN121601808APending Publication Date: 2026-03-03SHENZHEN INVT ELECTRIC
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Patent Information

Application Number
CN202511800822.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-02
Publication Date
2026-03-03

AI Technical Summary

Technical Problem

Traditional lithium battery winding control methods use constant angular velocity winding, which causes the cell diameter to continuously increase during the lithium battery winding process. The material winding linear speed changes, resulting in winding tension fluctuations, which affect production quality and production efficiency.

Method used

The cell diameter is determined based on the current total material thickness and the position of the winding needle. The angular velocity of the winding needle is dynamically calculated and adjusted in real time to control the winding process. The total material thickness is dynamically calculated using a linear regression method to ensure the accuracy and stability of the winding process.

Benefits of technology

It effectively reduces winding tension fluctuations, improves the production quality and efficiency of lithium batteries, enables real-time and precise control of the winding needle angular velocity, and enhances product consistency and yield.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a lithium battery winding control method, device and equipment and a medium, and relates to the field of lithium battery production control, and the method comprises the following steps: determining the current cell diameter based on the current material total thickness and the current winding needle position; wherein the diameter of the battery cell is the diameter of the battery cell formed by winding a material required for winding the lithium battery through the winding needle; determining the current angular velocity of a winding needle according to the current cell diameter and the current expected material winding linear velocity; controlling a winding needle to wind the material according to the current angular speed; wherein the current material total thickness is a numerical value obtained by performing linear regression on the winding needle position and the cell diameter sampled by each sampling point in the current winding process, and the material total thickness reflects the thickness of each material and the superposition thickness of the gap between the materials. Based on the scheme, the winding tension fluctuation can be reduced, and the production quality and production efficiency of the lithium battery can be improved.
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Description

Technical Field

[0001] This invention relates to the field of lithium battery production control, and in particular to a lithium battery winding control method, apparatus, equipment and medium. Background Technology

[0002] In lithium battery winding equipment, traditional control methods often employ constant angular velocity winding, which involves controlling the winding needle to wind the material required for the lithium battery at a constant angular velocity to form a cell. While this control method is simple in structure, the diameter of the cell continuously increases during the lithium battery winding process, while the angular velocity of the winding needle remains constant. This results in continuous changes in the winding linear velocity of the material, leading to fluctuations in winding tension and affecting the production quality and efficiency of the lithium battery. Summary of the Invention

[0003] In view of this, the purpose of this invention is to provide a lithium battery winding control method, apparatus, equipment, and medium, which can reduce winding tension fluctuations and improve the production quality and efficiency of lithium batteries. The specific solution is as follows:

[0004] In a first aspect, this application provides a lithium battery winding control method, including:

[0005] The current cell diameter is determined based on the current total material thickness and the current needle position; where the cell diameter is the diameter of the cell formed by winding the material required for winding the lithium battery using a needle.

[0006] The current angular velocity of the winding needle is determined based on the current cell diameter and the current desired material winding linear speed.

[0007] The winding needle is controlled to wind the material according to the current angular velocity;

[0008] The total thickness of the current material is a value obtained by linear regression of the winding needle position and cell diameter sampled at each sampling point during the current winding process, and the total thickness of the material reflects the thickness of each material and the superimposed thickness of the gap between the materials.

[0009] Optionally, determining the current cell diameter based on the current total material thickness and the current winding needle position includes:

[0010] The current cell diameter is determined using the initial cell diameter and based on the current total material thickness and the current needle position.

[0011] The current total thickness of the material is initially a preset total thickness.

[0012] Optionally, determining the current angular velocity of the winding needle based on the current cell diameter and the current desired material winding linear speed includes:

[0013] The current desired material winding speed is determined based on the current linear velocity of a pre-established virtual axis; the virtual axis is a virtual rotation axis simulated in advance based on the desired material winding speed at each moment.

[0014] The current angular velocity of the winding needle is determined based on the current cell diameter and the current desired material winding linear speed.

[0015] Optionally, the process of determining the current total thickness of the material includes:

[0016] The current sampling point is determined based on a preset sampling rule during the current winding process; the preset sampling rule includes determining the moment corresponding to each preset angle rotation of the winding needle as a sampling point.

[0017] The corresponding needle position and cell diameter are sampled at the current sampling point, and a preset regression operation is triggered to perform linear regression on the needle position and cell diameter sampled at each sampling point during the current winding process to obtain the current total material thickness.

[0018] Optionally, sampling the corresponding cell diameter at the current sampling point includes:

[0019] The positional change of the needle and encoder compared to the previous sampling point is sampled at the current sampling point; the encoder is located on any of the material transport paths from the needle.

[0020] The cell diameter corresponding to the current sampling point is determined based on the position change of the winding needle and the encoder sampled at the current sampling point.

[0021] Optionally, the step of performing linear regression on the winding needle position and cell diameter sampled at each sampling point during the current winding process to obtain the current total material thickness includes:

[0022] Based on the needle positions sampled at each sampling point during the current winding process, the first regression term is directly determined, and the second regression term is determined based on the power of the needle positions sampled at each sampling point during the current winding process.

[0023] Based on the cell diameter sampled at each sampling point during the current winding process, the third regression term is directly determined, and based on the winding needle position and cell diameter sampled at each sampling point during the current winding process, the fourth regression term is determined.

[0024] The current total material thickness is determined based on the first regression term, the second regression term, the third regression term, and the fourth regression term.

[0025] Optionally, determining the current total material thickness based on the first regression term, the second regression term, the third regression term, and the fourth regression term includes:

[0026] Count the total number of sampling points at each sampling point during the current winding process;

[0027] The first value is determined using the total number of sampling points and based on the first regression term, the third regression term, and the fourth regression term;

[0028] The second value is determined using the total number of sampling points and based on the first regression term and the second regression term;

[0029] The total thickness of the current material is determined based on the ratio of the first value to the second value.

[0030] Secondly, this application provides a lithium battery winding control device, comprising:

[0031] The cell diameter determination module is used to determine the current cell diameter based on the current total material thickness and the current needle position; wherein, the cell diameter is the diameter of the cell formed by winding the material required for winding the lithium battery using a needle;

[0032] An angular velocity determination module is used to determine the current angular velocity of the winding needle based on the current cell diameter and the current desired material winding linear speed.

[0033] A winding needle control module is used to control the winding needle to wind the material according to the current angular velocity;

[0034] The total thickness of the current material is a value obtained by linear regression of the winding needle position and cell diameter sampled at each sampling point during the current winding process, and the total thickness of the material reflects the thickness of each material and the superimposed thickness of the gap between the materials.

[0035] Thirdly, this application provides an electronic device, comprising:

[0036] Memory, used to store computer programs;

[0037] A processor is used to execute the computer program to implement the aforementioned lithium battery winding control method.

[0038] Fourthly, this application provides a computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the aforementioned lithium battery winding control method.

[0039] In this application, the current cell diameter is determined based on the current total material thickness and the current winding needle position; wherein, the cell diameter is the diameter of the cell formed by winding the material required for winding the lithium battery using the winding needle; the current angular velocity of the winding needle is determined according to the current cell diameter and the current desired material winding linear speed; the winding needle is controlled to wind the material according to the current angular velocity; wherein, the current total material thickness is a value obtained by linear regression of the winding needle position and cell diameter sampled at each sampling point during the current winding process, and the total material thickness reflects the thickness of each material and the superimposed thickness of the gaps between the materials. Therefore, this application uses linear regression to sample the needle position and cell diameter at each sampling point during the current winding process to dynamically calculate the total material thickness, ensuring that the dynamically calculated total material thickness is always close to the actual total material thickness. Then, based on this consistently accurate total material thickness, the application calculates the current cell diameter in real time and, combined with the desired material winding linear speed, calculates the current angular velocity of the needle in real time, thereby improving the accuracy of the needle angular velocity calculation. The more accurate current angular velocity is then used to adjust the needle angular velocity, controlling it to wind the material according to the current angular velocity. In this way, this application not only ensures that the actual material winding linear speed is always close to the desired value, effectively reducing winding tension fluctuations, but also achieves real-time and precise control of the needle angular velocity, thereby improving the production quality and efficiency of lithium batteries. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0041] Figure 1 This is a flowchart of a lithium battery winding control method disclosed in this application;

[0042] Figure 2 This is a schematic diagram of a winding structure disclosed in this application;

[0043] Figure 3 This is a schematic diagram of a wound battery cell disclosed in this application;

[0044] Figure 4 This is a flowchart illustrating the process of determining the total thickness of a material as disclosed in this application;

[0045] Figure 5 This is an actual rendering disclosed in this application;

[0046] Figure 6 This is a structural diagram of a control system disclosed in this application;

[0047] Figure 7 This is a schematic diagram of the structure of a lithium battery winding control device disclosed in this application;

[0048] Figure 8 This is a structural diagram of an electronic device disclosed in this application. Detailed Implementation

[0049] 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.

[0050] In lithium battery winding equipment, traditional control methods often employ constant angular velocity winding. While this method is simple in structure, the diameter of the battery cell continuously increases during winding, while the angular velocity of the winding needle remains constant. This results in fluctuating winding tension, negatively impacting the production quality and efficiency of the lithium battery. Therefore, this application discloses a lithium battery winding control method that reduces winding tension fluctuations and improves the production quality and efficiency of lithium batteries.

[0051] See Figure 1 As shown in the figure, an embodiment of the present invention discloses a lithium battery winding control method, including:

[0052] Step S11: Determine the current cell diameter based on the current total material thickness and the current needle position; wherein, the cell diameter is the diameter of the cell formed by winding the material required for winding the lithium battery using a needle.

[0053] Step S12: Determine the current angular velocity of the winding needle based on the current cell diameter and the current desired material winding linear speed.

[0054] Step S13: Control the winding needle to wind the material according to the current angular velocity; wherein, the current total material thickness is a value obtained by linear regression of the winding needle position and cell diameter sampled at each sampling point during the current winding process, and the total material thickness reflects the thickness of each material and the superimposed thickness of the gap between the materials.

[0055] The lithium battery winding control method proposed in this invention can be applied to the control system of a lithium battery winding device, and the winding structure of the lithium battery winding device is as follows: Figure 2As shown, the specific components include a winding needle, a swing arm, materials required for winding the lithium battery (positive electrode, negative electrode, upper separator, lower separator), an encoder, etc., with the encoder positioned on the transport path of any material, such as the lower separator, to the winding needle. The working principle of this winding structure is as follows: Figure 3 As shown, a lithium battery cell is formed by winding four materials required for winding a lithium battery using a winding tool.

[0056] Furthermore, since the winding needle moves in a circular motion and the wound product is getting larger and larger, it is necessary to control the speed of the winding needle. In this regard, the present invention proposes a lithium battery winding control method, which specifically includes: the control system determines the current cell diameter based on the current total material thickness and the current winding needle position, then determines the current angular velocity of the winding needle based on the current cell diameter and the current desired material winding linear speed, and uses the current angular velocity to control the speed of the winding needle so as to control the winding needle to continue winding the material according to the current angular velocity.

[0057] Determining the current cell diameter based on the current total material thickness and the current winding needle position can specifically include: using the initial cell diameter and based on the current total material thickness and the current winding needle position to determine the current cell diameter; wherein, the current total material thickness is a preset total thickness initially, which can be set by the user.

[0058] According to one example, the formula for calculating the current cell diameter can be expressed as: ;in, Indicates the current cell diameter; The initial cell diameter is represented by T; the current total material thickness is represented by P; and the current needle position is represented by P.

[0059] Determining the current angular velocity of the winding needle based on the current cell diameter and the current desired material winding linear speed can specifically include: determining the current desired material winding linear speed based on the current linear speed of a pre-established virtual axis; wherein the virtual axis is a virtual rotation axis simulated in advance based on the desired material winding linear speed at each moment; and determining the current angular velocity of the winding needle based on the current cell diameter and the current desired material winding linear speed.

[0060] It should be noted that the desired material winding linear speed at each moment is preset by the user based on prior knowledge. In one case, it can be set to a constant linear speed, and in another case, it can be set to a variable linear speed. Generally, the desired material winding linear speed at each moment is set to a constant linear speed, thereby reducing winding tension fluctuations by controlling the angular velocity of the winding needle.

[0061] According to one example, the formula for calculating the current angular velocity of the winding needle can be expressed as: ;in, This indicates the current angular velocity of the winding needle, in degrees per second. This indicates the current desired material winding speed, in millimeters per second; D represents the current cell diameter.

[0062] Because the user-defined preset total thickness may deviate significantly from the actual total material thickness during winding, or because gaps may exist between materials during winding, the user-defined preset total thickness may deviate significantly from the actual total material thickness during winding. If the user-defined preset total thickness is consistently used for calculating and controlling the winding needle angular velocity, it can easily lead to a large deviation in the actual material winding linear velocity during winding. Therefore, this invention proposes a method for dynamically determining the current total material thickness, the specific steps of which are as follows: Figure 4 As shown, the process includes: determining the current sampling point during the current winding process based on preset sampling rules; wherein, the preset sampling rules include determining the moment corresponding to each preset angle rotation of the winding needle as a sampling point; sampling the corresponding winding needle position and cell diameter at the current sampling point, and triggering a preset regression operation to perform linear regression on the winding needle position and cell diameter sampled at each sampling point during the current winding process to obtain the current total material thickness.

[0063] Taking a preset angle of 180 degrees as an example, the control system determines the moment corresponding to each 180-degree rotation of the winding needle as a sampling point. Each time a sampling point is determined, the corresponding winding needle position and battery cell diameter are sampled, and a preset regression operation is triggered to perform linear regression on the winding needle position and battery cell diameter sampled at each determined sampling point, thereby dynamically determining the current total material thickness.

[0064] Specifically, sampling the cell diameter at the current sampling point can include: sampling the positional change of the winding needle and encoder compared to the previous sampling point at the current sampling point; and determining the cell diameter corresponding to the current sampling point based on the positional change of the winding needle and encoder sampled at the current sampling point.

[0065] According to one example, the ratio between the encoder position change and the needle position change sampled at the current sampling point is determined, and the cell diameter corresponding to the current sampling point is further determined based on this ratio; the calculation formula involved is as follows: D represents the cell diameter corresponding to the current sampling point; This indicates the change in encoder position sampled at the current sampling point; This indicates the change in the position of the needle at the current sampling point.

[0066] Linear regression is performed on the needle positions and cell diameters sampled at each sampling point during the current winding process to obtain the current total material thickness. Specifically, this can include: constructing a correspondence between needle positions and cell diameters based on the needle positions and cell diameters sampled at each sampling point during the current winding process, for example... ,in, This indicates the position of the spinning needle sampled at the nth sampling point. This represents the cell diameter sampled at the nth sampling point. Then, a linear regression is performed based on this correspondence to obtain the current total material thickness.

[0067] According to one example, a linear regression is performed on the needle positions and cell diameters sampled at each sampling point during the current winding process to obtain the current total material thickness. Specifically, this may include: directly determining a first regression term based on the needle positions sampled at each sampling point during the current winding process, and determining a second regression term based on a power of the needle positions sampled at each sampling point during the current winding process; wherein the power can be a square; directly determining a third regression term based on the cell diameters sampled at each sampling point during the current winding process, and determining a fourth regression term based on the needle positions and cell diameters sampled at each sampling point during the current winding process; and determining the current total material thickness based on the first, second, third, and fourth regression terms.

[0068] It should be noted that the calculation of the first, second, third, and fourth regression terms all involve accumulation operations.

[0069] The formulas involved in linear regression are as follows:

[0070] ;

[0071] ;

[0072] ;

[0073] ;

[0074] Indicates the first regression term; Indicates the second regression term; This represents the third regression term; This represents the fourth regression term; This indicates the position of the spinning needle sampled at the i-th sampling point. The denot represents the diameter of the battery cell sampled at the i-th sampling point; n represents the total number of sampling points during the current winding process.

[0075] Determining the current total material thickness based on the first, second, third, and fourth regression terms can specifically include: counting the total number of sampling points at each sampling point during the current winding process; determining a first value using the total number of sampling points and based on the first, third, and fourth regression terms; determining a second value using the total number of sampling points and based on the first and second regression terms; and determining the current total material thickness based on the ratio of the first and second values.

[0076] According to one example, the ratio of the first value to the second value can be expressed as: Where K represents the ratio of the first value to the second value; Indicates the first numerical value; This indicates the second numerical value.

[0077] The above formula can be used to obtain the discrete set data of each sampling point during the current winding process. , Linearization calculations are performed to obtain the ratio K, which is the slope of the winding change. Observation shows that for every 360 degrees the winding needle rotates (i.e., one full rotation), the cell diameter increases by twice the total material thickness. Therefore, the total material thickness can be expressed as T=180*K. The total material thickness can also be defined as the increase in cell diameter for every 180 degrees (half a full rotation) of the winding needle, or as half the increase in cell diameter for every 360 degrees (one full rotation).

[0078] It can be observed that the embodiments of the present invention update the total material thickness and cell diameter in real time during the lithium battery winding process to achieve real-time variable speed control of the winding needle angular velocity. Furthermore, the embodiments of the present invention dynamically calculate the total material thickness using linear regression, ensuring that the dynamically calculated total material thickness is always close to the actual thickness. This effectively eliminates the problem of large deviations in material winding linear velocity caused by large deviations in the total material thickness, significantly reduces winding tension fluctuations, improves the control accuracy of the winding needle angular velocity, and enhances the quality of lithium battery winding, thereby effectively improving product consistency and yield. Moreover, compared to related technologies, the embodiments of the present invention do not require complex lookup table structures and have a smaller computational load, effectively improving the control efficiency of lithium battery winding. They are also easy to implement in a control system, reducing the consumption of computational resources for the control system.

[0079] like Figure 5 The image shown is an actual effect diagram of the control of the winding needle angular velocity using the lithium battery winding control method of this application. Figure 5 (a) in the graph represents the linear velocity of the virtual axis as a function of time. Figure 5 (b) in the graph represents the curve of the angular velocity of the winding needle changing with time. Figure 5In the graphs (c) and (d), we can see that the trends of the linear velocity of the virtual axis, the angular velocity of the winding needle, and the swing angle of the pendulum are consistent, which better corresponds to the actual lithium battery winding situation and effectively improves product consistency.

[0080] Therefore, this application uses linear regression to sample the needle position and cell diameter at each sampling point during the current winding process to dynamically calculate the total material thickness, ensuring that the dynamically calculated total material thickness is always close to the actual total material thickness. Then, based on this consistently accurate total material thickness, the application calculates the current cell diameter in real time and, combined with the desired material winding linear speed, calculates the current angular velocity of the needle in real time, thereby improving the accuracy of the needle angular velocity calculation. The more accurate current angular velocity is then used to adjust the needle angular velocity, controlling it to wind the material according to the current angular velocity. In this way, this application not only ensures that the actual material winding linear speed is always close to the desired value, effectively reducing winding tension fluctuations, but also achieves real-time and precise control of the needle angular velocity, thereby improving the production quality and efficiency of lithium batteries.

[0081] by Figure 6 Taking the control system structure diagram shown as an example, the lithium battery winding control method disclosed in this embodiment of the invention will be described in detail. The control system includes a controller, a servo system, and a power distribution system that supplies power to the controller and servo system. The controller establishes communication connections with peripheral I / O (Input / Output) and the encoding module, while the servo system establishes communication connections with the winding needle and the virtual axis. The peripheral I / O is used to acquire user-configured parameters, such as preset total thickness and initial cell diameter. The encoding module is used to acquire the position change of the encoder between two adjacent sampling points, so that the controller can determine the cell diameter corresponding to each sampling point based on the position changes of the winding needle and encoder sampled at each sampling point during the winding process, and then dynamically determine the current total material thickness by combining the position of the winding needle corresponding to each sampling point. The specific implementation scheme of the control system is as follows:

[0082] The servo system acquires the current position of the winding needle to obtain the current winding needle position, and transmits the current winding needle position to the controller. At the same time, the servo system determines the current desired material winding speed based on the current linear velocity of the pre-established virtual axis, and transmits the current desired material winding speed to the controller.

[0083] After acquiring the current needle position, the controller determines the current cell diameter based on the dynamically determined total material thickness and the current needle position. Then, after acquiring the desired material winding speed, it determines the current angular velocity of the needle based on the current cell diameter and the desired material winding speed. The controller then transmits the current angular velocity of the needle to the servo system.

[0084] The servo system uses the current angular velocity to control the speed of the winding needle, so that the winding needle continues to wind the material required for the lithium battery according to the current angular velocity.

[0085] Therefore, this application can update the total material thickness and cell diameter in real time during the lithium battery winding process through a simple control system, thereby enabling real-time variable speed control of the winding needle angular velocity and improving the control accuracy of the winding needle angular velocity. At the same time, this application can dynamically calculate the total material thickness through a simple control system, ensuring that the dynamically calculated total material thickness is always close to the actual thickness. This effectively eliminates the problem of large deviations in material winding linear velocity caused by large deviations in the total material thickness, significantly reduces winding tension fluctuations, improves the control accuracy of the winding needle angular velocity, and improves the quality of lithium battery winding, thus effectively improving product consistency and yield.

[0086] See Figure 7 As shown, an embodiment of the present invention discloses a lithium battery winding control device, comprising:

[0087] The cell diameter determination module 11 is used to determine the current cell diameter based on the current total material thickness and the current needle position; wherein, the cell diameter is the diameter of the cell formed by winding the material required for winding the lithium battery using a needle;

[0088] Angular velocity determination module 12 is used to determine the current angular velocity of the winding needle based on the current cell diameter and the current expected material winding linear speed;

[0089] The winding needle control module 13 is used to control the winding needle to wind the material according to the current angular velocity;

[0090] The total thickness of the current material is a value obtained by linear regression of the winding needle position and cell diameter sampled at each sampling point during the current winding process, and the total thickness of the material reflects the thickness of each material and the superimposed thickness of the gap between the materials.

[0091] Therefore, this application uses linear regression to sample the needle position and cell diameter at each sampling point during the current winding process to dynamically calculate the total material thickness, ensuring that the dynamically calculated total material thickness is always close to the actual total material thickness. Then, based on this consistently accurate total material thickness, the application calculates the current cell diameter in real time and, combined with the desired material winding linear speed, calculates the current angular velocity of the needle in real time, thereby improving the accuracy of the needle angular velocity calculation. The more accurate current angular velocity is then used to adjust the needle angular velocity, controlling it to wind the material according to the current angular velocity. In this way, this application not only ensures that the actual material winding linear speed is always close to the desired value, effectively reducing winding tension fluctuations, but also achieves real-time and precise control of the needle angular velocity, thereby improving the production quality and efficiency of lithium batteries.

[0092] In some specific embodiments, the cell diameter determining module 11 includes:

[0093] The cell diameter determination unit is used to determine the current cell diameter using the initial cell diameter and based on the current total material thickness and the current winding needle position;

[0094] The current total thickness of the material is initially a preset total thickness.

[0095] In some specific embodiments, the angular velocity determination module 12 includes:

[0096] A linear velocity determination unit is used to determine the current desired material winding linear velocity based on the current linear velocity of a pre-established virtual axis; the virtual axis is a virtual rotation axis simulated in advance based on the desired material winding linear velocity at each moment.

[0097] An angular velocity determination unit is used to determine the current angular velocity of the winding needle based on the current cell diameter and the current desired material winding linear velocity.

[0098] In some specific embodiments, the process of determining the current total material thickness in the lithium battery winding control device includes:

[0099] A sampling point determination unit is used to determine the current sampling point during the current winding process based on a preset sampling rule; the preset sampling rule includes determining the moment corresponding to each preset angle rotation of the winding needle as a sampling point.

[0100] The thickness determination module is used to sample the corresponding winding needle position and cell diameter at the current sampling point, and trigger a preset regression operation to perform linear regression on the winding needle position and cell diameter sampled at each sampling point during the current winding process to obtain the current total material thickness.

[0101] In some specific embodiments, the thickness determination module includes:

[0102] A position sampling unit is used to sample the position change of the winding needle and the encoder at the current sampling point compared to the previous sampling point; the encoder is located on any of the material conveying paths to the winding needle;

[0103] The cell diameter sampling unit is used to determine the cell diameter corresponding to the current sampling point based on the position change of the winding needle and the encoder sampled at the current sampling point.

[0104] In some specific embodiments, the thickness determination module includes:

[0105] The regression term determination unit is used to directly determine the first regression term based on the needle positions sampled at each sampling point during the current winding process, and to determine the second regression term based on the power of the needle positions sampled at each sampling point during the current winding process; to directly determine the third regression term based on the cell diameter sampled at each sampling point during the current winding process, and to determine the fourth regression term based on the needle positions and cell diameter sampled at each sampling point during the current winding process.

[0106] The thickness determination submodule is used to determine the total thickness of the current material based on the first regression term, the second regression term, the third regression term, and the fourth regression term.

[0107] In some specific embodiments, the thickness determination submodule includes:

[0108] The total count unit is used to count the total number of sampling points at each sampling point during the current winding process;

[0109] A numerical determination unit is used to determine a first numerical value using the total number of sampling points and based on the first regression term, the third regression term, and the fourth regression term; and to determine a second numerical value using the total number of sampling points and based on the first regression term and the second regression term.

[0110] The thickness determination unit is used to determine the total thickness of the current material based on the ratio of the first value and the second value.

[0111] Furthermore, embodiments of this application also disclose an electronic device, Figure 8 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application.

[0112] Figure 8This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of this application. Specifically, the electronic device 20 may include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the lithium battery winding control method disclosed in any of the foregoing embodiments. Alternatively, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0113] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0114] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon can include operating system 221, computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0115] The operating system 221 is used to manage and control the various hardware devices on the electronic device 20 and the computer program 222, which may be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of performing the lithium battery winding control method executed by the electronic device 20 as disclosed in any of the foregoing embodiments, the computer program 222 may further include a computer program capable of performing other specific tasks.

[0116] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned lithium battery winding control method. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0117] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0118] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0119] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0120] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0121] The technical solutions provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A lithium battery winding control method, characterized in that, include: The current cell diameter is determined based on the current total material thickness and the current needle position; where the cell diameter is the diameter of the cell formed by winding the material required for winding the lithium battery using a needle. The current angular velocity of the winding needle is determined based on the current cell diameter and the current desired material winding linear speed. The winding needle is controlled to wind the material according to the current angular velocity; The total thickness of the current material is a value obtained by linear regression of the winding needle position and cell diameter sampled at each sampling point during the current winding process, and the total thickness of the material reflects the thickness of each material and the superimposed thickness of the gap between the materials.

2. The lithium battery winding control method according to claim 1, characterized in that, The process of determining the current cell diameter based on the current total material thickness and the current coil needle position includes: The current cell diameter is determined using the initial cell diameter and based on the current total material thickness and the current needle position. The current total thickness of the material is initially a preset total thickness.

3. The lithium battery winding control method according to claim 1, characterized in that, Determining the current angular velocity of the winding needle based on the current cell diameter and the current desired material winding linear speed includes: The current desired material winding speed is determined based on the current linear velocity of a pre-established virtual axis; the virtual axis is a virtual rotation axis simulated in advance based on the desired material winding speed at each moment. The current angular velocity of the winding needle is determined based on the current cell diameter and the current desired material winding linear speed.

4. The lithium battery winding control method according to any one of claims 1 to 3, characterized in that, The process of determining the total thickness of the current material includes: The current sampling point is determined based on a preset sampling rule during the current winding process; the preset sampling rule includes determining the moment corresponding to each preset angle rotation of the winding needle as a sampling point. The corresponding needle position and cell diameter are sampled at the current sampling point, and a preset regression operation is triggered to perform linear regression on the needle position and cell diameter sampled at each sampling point during the current winding process to obtain the current total material thickness.

5. The lithium battery winding control method according to claim 4, characterized in that, The cell diameter corresponding to the current sampling point is sampled, including: The positional change of the needle and encoder compared to the previous sampling point is sampled at the current sampling point; the encoder is located on any of the material transport paths from the needle. The cell diameter corresponding to the current sampling point is determined based on the position change of the winding needle and the encoder sampled at the current sampling point.

6. The lithium battery winding control method according to claim 4, characterized in that, The process of performing linear regression on the winding needle position and cell diameter sampled at each sampling point during the current winding process to obtain the current total material thickness includes: Based on the needle positions sampled at each sampling point during the current winding process, the first regression term is directly determined, and the second regression term is determined based on the power of the needle positions sampled at each sampling point during the current winding process. Based on the cell diameter sampled at each sampling point during the current winding process, the third regression term is directly determined, and based on the winding needle position and cell diameter sampled at each sampling point during the current winding process, the fourth regression term is determined. The current total material thickness is determined based on the first regression term, the second regression term, the third regression term, and the fourth regression term.

7. The lithium battery winding control method according to claim 6, characterized in that, Determining the current total material thickness based on the first regression term, the second regression term, the third regression term, and the fourth regression term includes: Count the total number of sampling points at each sampling point during the current winding process; The first value is determined using the total number of sampling points and based on the first regression term, the third regression term, and the fourth regression term; The second value is determined using the total number of sampling points and based on the first regression term and the second regression term; The total thickness of the current material is determined based on the ratio of the first value to the second value.

8. A lithium battery winding control device, characterized in that, include: The cell diameter determination module is used to determine the current cell diameter based on the current total material thickness and the current needle position; wherein, the cell diameter is the diameter of the cell formed by winding the material required for winding the lithium battery using a needle; An angular velocity determination module is used to determine the current angular velocity of the winding needle based on the current cell diameter and the current desired material winding linear speed. A winding needle control module is used to control the winding needle to wind the material according to the current angular velocity; The total thickness of the current material is a value obtained by linear regression of the winding needle position and cell diameter sampled at each sampling point during the current winding process, and the total thickness of the material reflects the thickness of each material and the superimposed thickness of the gap between the materials.

9. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program to implement the lithium battery winding control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store a computer program, which, when executed by a processor, implements the lithium battery winding control method as described in any one of claims 1 to 7.