Cross-process winding closed-loop control system and method

Abstract

The invention discloses a cross-process winding closed-loop control system and method. The cross-process winding closed-loop control system comprises a rolling pole piece thickness measuring device installed in a rolling process, a roll cutting thickness measuring device installed in roll cutting equipment and an edge calculator. The rolling pole piece thickness measuring device is used for measuring the rolling thickness of the pole piece; the roll cutting and thickness measuring device is used for measuring the thickness of the pole piece in the Y direction; the edge calculator is configured with a neural network self-learning model, and the neural network self-learning model is used for outputting a tension adjustment value, a tab spacing adjustment value and an embossing roller pressure adjustment value based on the pole piece rolling thickness and the pole piece Y-direction thickness. According to the invention, by finding out the relationship among the incoming material thickness of two dimensions of the previous process, the tension value of the current process, the dislocation value of each circle of tabs and the thickness deviation value of the pole roll, the tab spacing value, the start and stop of the embossing roller and the pressure value of the embossing roller can be adjusted in time when the thickness of the pole piece or the tension of the equipment is changed; therefore, the alignment degree of the tabs and the thickness of the roll core in the winding process of the roll core are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium battery manufacturing, and in particular to a cross-process winding closed-loop control system and method. Background Art

[0002] The inconsistency of the longitudinal thickness of different pole rolls or the same pole roll is finally reflected in the winding equipment, resulting in poor alignment of the pole ears in the core manufacturing, poor core thickness and other problems. In addition, the data measured during coating and rolling cannot form a corresponding relationship with the core product, which is not conducive to the traceability of information such as the alignment and thickness of the pole ears in the core manufacturing. The alignment and thickness of the pole ears in the core manufacturing are affected by the thickness of the pole sheets in the previous rolling process and the spacing of the laser-cut pole ears on the one hand, and the tension of the winding process and the pressure of the embossing roller on the other hand. When the current winding equipment has poor alignment, the method of manually pasting Teflon to adjust the diameter of the winding needle requires high personnel skills and a long adjustment process, which delays production capacity; poor core thickness is manifested in the inability to enter the shell in the subsequent process or the low capacity of a single battery cell. Most of the existing technologies are based on the thickness adjustment of the pole ear spacing before winding, without considering multiple integration. Therefore, the pole ears are aligned, but the core thickness is too thick to enter the shell, the thickness meets the requirements, the pole ear spacing is the same, but the pole ear alignment is sometimes met and sometimes poor. Summary of the invention

[0003] Based on the problems existing in the prior art, the present invention provides a cross-process winding closed-loop control system and method, which establishes a model relationship to find out the relationship between the two-dimensional incoming material thickness of the previous process, the tension value of the current process and the misalignment value of each turn of the pole ear, and the pole roll thickness deviation value. When the pole piece thickness changes or the equipment tension changes, the pole ear spacing value, the embossing roller start and stop, and the embossing roller pressure value are adjusted in time, thereby ensuring the pole ear alignment and core thickness during the winding process.

[0004] To achieve the above purpose, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a lithium battery winding closed-loop control system across processes, including a rolling pole piece thickness measuring device installed in a rolling press, a cutting coil thickness measuring device installed in a cutting coil device, and an edge calculator; The rolled pole piece thickness measuring device is used to measure the rolled thickness of the pole piece; The coil cutting thickness measuring device is used to measure the thickness of the pole piece in the Y direction; The edge calculator is configured with a neural network self-learning model, which is used to output a tension adjustment value, a pole lug spacing adjustment value, and an embossing roller pressure adjustment value based on the pole piece rolling thickness and the pole piece Y-direction thickness.

[0005] Preferably, the roller-pressed pole piece thickness measuring device is installed on a moving module, and the moving module drives the roller-pressed pole piece thickness measuring device to move along the pole piece X direction.

[0006] Preferably, the roller-pressed electrode thickness measuring device is used for: The measured pole piece rolling thickness data is uploaded to the edge calculator, and the pole piece rolling thickness covariance and standard deviation data are calculated and input into the constructed neural network model.

[0007] Preferably, the slitting and thickness measuring device is arranged behind the unwinding equipment and before the laser cutting equipment, and is fixed on the large plate of the slitting equipment.

[0008] Preferably, the roll cutting thickness measuring device comprises: a servo module, a laser rangefinder, a lower stabilizing roller and an upper stabilizing roller; The lower stabilizing roller and the upper stabilizing roller are used to fix and transport the pole piece, and the laser rangefinder is located on the upper and lower sides of the pole piece, and the laser rangefinder is used to upload the measured Y-direction thickness data of the pole piece to the edge calculator; The servo module is used to drive the laser rangefinder.

[0009] Preferably, the coil cutting equipment further includes: a tab spacing testing device, a tension control system and a tension detection system; The tab spacing test device is used to measure the tab spacing and upload it to the edge calculator; The tension detection system is used to detect the tension value during the pole piece conveying process and upload it to the edge calculator; The tension control system is used to adjust the tension value.

[0010] Preferably, the tab spacing testing device comprises: a servo motor, a laser sensor, an encoder and a winding needle; The winding needle is used to wind the small pole piece, the servo motor is used to drive the winding needle to rotate, the laser sensor is installed at the middle straight line aligned with the winding pole ear, and the distance from the pole piece is h; the encoder is installed on the winding needle; There are at least two laser sensors, which are respectively arranged before the positive and negative electrodes are rolled up. The two laser sensors are respectively used to mark the positive electrode Mark position, the starting and ending positions of the pole lug, and the negative electrode Mark position, the starting and ending positions of the pole lug.

[0011] Preferably, the closed-loop control system further comprises a thickness detector installed in the assembly inspection machine, wherein the thickness detector is used to detect the overall thickness of the pole coil to determine whether it can be inserted into the aluminum shell.

[0012] In a second aspect, the present invention provides a lithium battery winding closed-loop control method across processes, which is implemented based on the above-mentioned lithium battery winding closed-loop control system across processes, and the method includes: Constructing and training a neural network self-learning model, wherein the neural network self-learning model takes the covariance and standard deviation of the thickness of the tab alignment, the covariance and standard deviation of the thickness of the pole piece as input, and takes the tension adjustment value, the tab spacing adjustment value, and the embossing roller pressure adjustment value as output; Detect the tension value during the electrode conveying process, determine the change of the tension of the electrode during the conveying process, and adjust the tension value if the tension change value is greater than the threshold value △K; Obtain the electrode sheet rolling thickness in the X direction measured by the rolling electrode sheet thickness measuring device and the electrode sheet thickness in the Y direction measured by the cutting and coiling thickness measuring device, and determine whether the deviation between the measured thickness and the theoretical thickness is greater than the electrode tab spacing adjustment thickness threshold △T1. If not, no adjustment is made. If greater than the electrode tab spacing adjustment thickness threshold △T1, further determine whether it is greater than the embossing roller adjustment threshold △T2. If greater than both △T1 and △T2, turn on the embossing roller, and adjust the pressure of the embossing roller based on the output of the neural network self-learning model. If greater than △T1 and less than △T2, adjust the electrode tab spacing based on the output of the neural network self-learning model.

[0013] Preferably, the construction and training of the neural network self-learning model includes: Acquire a training data set, which includes: acquiring the tension value of the pole piece during transportation, the thickness measurement value of the roller in the X direction, and the thickness measurement value of the pole piece in the Y direction; calculating the covariance and standard deviation of the pole ear alignment thickness, and the covariance and standard deviation of the pole piece thickness based on the acquired data; taking the calculated covariance and standard deviation of the pole ear alignment thickness, the covariance and standard deviation of the pole piece thickness, and the tension adjustment value, the pole ear spacing adjustment value, and the embossing roller pressure adjustment value under the current working condition as a set of training data; acquiring the training data set in the above manner based on the measurement data and adjustment data during the pole piece transportation process; The training data set is input into the constructed neural network self-learning model, and the relationship between the tab alignment, core thickness deviation and tension, tab spacing and embossing roller pressure adjustment value is found through model self-learning; and the model parameters are corrected based on the predicted deviation value and the actual detected deviation value to obtain a trained neural network self-learning model.

[0014] Preferably, the method further comprises: The adjusted pole lug spacing and pole roll thickness are detected, and the tension adjustment value, the pole lug spacing adjustment value and the embossing roller pressure adjustment value are fed back to optimize the neural network self-learning model.

[0015] The beneficial effects of the present invention are: The present invention provides a winding closed-loop control system and method across processes. By establishing a model relationship, the relationship between the incoming material thickness of the previous process in two dimensions, the tension value of the current process, the misalignment value of each turn of the pole ear, and the pole roll thickness deviation value is found, and the pole ear spacing value, embossing roller start and stop, and embossing roller pressure value are adjusted in real time when the pole piece thickness changes or the equipment tension changes, thereby ensuring the alignment of the pole ears and the thickness of the core during the winding process. The present invention replaces manual detection, analysis, and adjustment, accurately understands and obtains the position information of the pole ear misalignment, realizes pre-control, and reduces problems such as poor core misalignment, poor over-thickness rework, and poor capacity consistency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A diagram of a winding closed-loop control system across processes provided by the present invention; Figure 2 A logic diagram of the winding closed-loop control across processes provided by the present invention; Figure 3 A neural network diagram for the closed-loop control of coil cutting provided by the present invention; Figure 4 A front view of a coil cutting and thickness measuring device in a cross-process winding closed-loop control system provided by the present invention; Figure 5 The overall structure diagram of the coil cutting and thickness measuring device in the cross-process winding closed-loop control system provided by the present invention; Figure 6 A schematic diagram of the structure of a tab spacing test device in a cross-process winding closed-loop control system provided by the present invention; Figure 7 It is a schematic diagram of the tab detection position in the present invention. DETAILED DESCRIPTION

[0017] The specific implementation of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The embodiments described below with reference to the accompanying drawings are illustrative and intended to be used to explain the present invention, but should not be construed as limiting the present invention.

[0018] In the description of the present invention, it should be noted that the orientations or positional relationships indicated by terms such as “upper”, “lower”, “front”, “rear”, “end”, “bottom” and “side” are based on the orientations or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or component referred to must have a specific orientation. Therefore, they cannot be understood as limitations on the present invention.

[0019] In the present invention, unless otherwise clearly specified and limited, the terms "connection", "installation" and the like should be understood in a broad sense, for example, it can be a fixed connection, a direct connection, or a connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0020] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0021] The specific embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings. The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention. Example 1

[0022] This embodiment 1 provides a lithium battery winding closed-loop control system across processes, which is installed in the lithium battery production process, such as Figure 1 As shown, the control system includes: A roller-pressed pole piece thickness measuring device 1-1 installed in the roller press 1; The positive and negative electrode unwinding device 2-1, the cutting and thickness measuring device 2-2, the embossing roller device 2-3, the laser cutting device 2-4, the tab spacing testing device 2-5, the tension control system 2-6, the tension detection system 2-7, the roller 2-8 and the winding mechanism 2-9 installed in the cutting and coiling device 2; And a thickness detector 3 - 1 installed in the assembly inspection machine 3 .

[0023] The rolling 1, coil cutting 2 and assembly inspection machine 3 are different processes and equipment respectively.

[0024] In this embodiment, the electrode sheet is evenly cut into several rolls of small electrode sheets after rolling 1. The small electrode sheets start from the positive and negative electrode unwinding device 2-1 installed on the cutting device 2, and move to the laser cutting device 2-4 through the cutting thickness measuring device 2-2, the embossing roller device 2-3, and several rollers 2-8. After the laser cutting device 2-4 completes the cutting of the pole lug 5, the small electrode sheet passes through several rollers 2-8 and comes to the winding mechanism 2-9. The pole lug spacing detection device 2-5 is installed on the outside of the winding mechanism 2-9. During the transportation of the small electrode sheet, the tension control system 2-6 is used to ensure the continuous movement. The tension detection system 2-7 and the tension control system 2-6 form a closed-loop control to maintain the balance of tension.

[0025] Specifically, in this embodiment, the rolled electrode thickness measuring device 1-1 moves along the electrode X direction to measure the transverse thickness of the "Z"-shaped electrode, i.e., the rolled thickness. The measured thickness value is uploaded to the edge calculator, and the thickness covariance and standard deviation data are output to the constructed neural network self-learning model.

[0026] It should be noted that Figure 1 The control equipment is divided into two groups, left and right, which are used for cutting and coiling the positive electrode sheets and the negative electrode sheets respectively.

[0027] It should be noted that the roller-pressed pole piece thickness measuring device 1 - 1 is installed on a moving module, and is driven by the moving module to move along the pole piece X direction; the roller-pressed pole piece thickness measuring device is implemented using an existing thickness measuring instrument.

[0028] It should be noted that the neural network self-learning model is configured on the edge computer.

[0029] See also Figure 4 and Figure 5 In this embodiment, the slitting and thickness measuring device 2-2 includes: a servo module 2-21, a laser rangefinder 2-22, a lower stabilizing roller 2-23 and an upper stabilizing roller 2-24; Specifically, The slitting thickness measuring device 2-2 is set behind the unwinding equipment and before the laser cutting equipment. The pole piece needs to be more than 2 meters away from the laser cutting position and is fixed on the large plate of the slitting equipment. The laser rangefinder measures the thickness data of the pole piece in the Y direction and uploads the measurement data to the edge calculator.

[0030] It should be noted that during the measurement process, the positive and negative electrodes are measured independently.

[0031] It should be noted that the distance from the electrode piece from the thickness measuring position of the cutting and thickness measuring device 2-2 to the laser cutting device 2-4 should not be less than the maximum distance between the three electrode tabs. The purpose is that communication and action execution require time.

[0032] In this embodiment, the embossing roller device 2-3 includes a pressure control unit and an embossing roller.

[0033] In this embodiment, the laser cutting device 2-4 is used to cut the pole piece and the pole lugs. The size, shape, pole lug spacing and other parameters of the pole lug cutting are adjustable. The adjustment time gap should be smaller than the time gap for the small pole piece to move from the thickness measuring position of the coil cutting thickness measuring device 2-2 to the cutting position of the laser cutting device 2-4.

[0034] See also Figure 6 In this embodiment, the tab spacing testing device 2-5 includes: a servo motor, a laser sensor 2-52, an encoder 2-53 and a winding needle 2-54; Specifically, the winding needle 2-54 is used to wind the small pole piece, the servo motor 2-51 is used to drive the winding needle to rotate, and the laser sensor 2-52 is installed at the middle straight line aligned with the winding pole ear 5, and the distance from the pole piece is h. The encoder 2-53 is installed on the winding needle 2-54.

[0035] It should be noted that there are at least two laser sensors 2-52, which are respectively set before the positive and negative electrodes are rolled up. The laser sensors 2-52 are used to mark the positive electrode Mark position, the starting and ending positions of the pole lugs, and the negative electrode Mark position, the starting and ending positions of the pole lugs; A Mark hole is processed at the initial winding position. When the laser sensor 2-52 detects the Mark hole, the encoder 2-53 records the number of turns i, i from 0-N, and N is equal to the number of turns designed for the winding core. When winding to the positive / negative pole lug position, the laser sensor 2-5 detects the straight line in the middle of the lug. At this time, the encoder 2-53 records the starting rotation angle WZi1 and the ending rotation angle WZi2 of the positive pole lug, as well as the starting rotation angle WFi1 and the ending rotation angle WFi2 of the negative pole lug. Among them: Z represents the positive pole, F represents the negative pole, and i represents the i-th turn. The encoder uploads the recorded rotation angle data to the edge calculator. Figure 7 Schematic diagram of the detection position.

[0036] The thickness detector 3-1 installed in the assembly inspection machine 3 is used to detect the overall thickness of the pole coil and determine whether it can be inserted into the aluminum shell. Example 2

[0037] Based on the winding closed-loop control system of the above-mentioned embodiment 1, this embodiment 2 provides a winding closed-loop control method, which can adjust the tab spacing value, embossing roller start and stop and embossing roller pressure value in real time when the thickness of the pole piece changes or the tension of the equipment changes, thereby ensuring the tab alignment and core thickness of the winding core during the winding process. Figure 2 , the method comprising: Step S1: Establish Figure 3 The neural network self-learning model shown obtains a training data set, which includes: Obtain the tension value of the pole piece during transportation, the thickness measurement value in the rolling X direction, and the thickness measurement value in the Y direction of the pole piece; Calculate the lug alignment thickness covariance and standard deviation, and the pole piece thickness covariance and standard deviation based on the acquired data; The calculated lug alignment thickness covariance and standard deviation, the pole piece thickness covariance and standard deviation, and the tension adjustment value, lug spacing adjustment value, and embossing roller pressure adjustment value under the current working condition are collectively used as a set of training data; Obtain the training dataset as described above.

[0038] Step S2, training model, inputting the data obtained in step S1 into the constructed neural network self-learning model, finding the relationship between the tab alignment, core thickness deviation and tension, tab spacing and embossing roller pressure adjustment value through model self-learning; and correcting the model parameters based on the predicted deviation value and the actual detected deviation value to ensure the prediction accuracy.

[0039] Step S3-1, detecting the tension value, determining the change in tension of the electrode during the conveying process, and if the tension change is greater than a threshold value △K, adjusting the tension value to ensure the stability of the tension; Step S3-2, obtaining the rolling thickness in the X direction measured by the rolling electrode sheet thickness measuring device and the electrode sheet thickness in the Y direction measured by the cutting and coiling thickness measuring device, and judging whether the deviation between the measured thickness and the theoretical thickness is greater than the thickness threshold △T1 for adjusting the distance between the pole tabs; if not, there is no need to start the embossing roller or adjust the distance between the pole tabs; if greater than △T1, further judging whether it is greater than the embossing roller adjustment threshold △T2; if greater than both △T1 and △T2, the embossing roller is started, and the pressure of the embossing roller is adjusted according to the actual thickness value; if greater than △T1 and less than △T2, the distance between the pole tabs is adjusted according to the actual thickness value; It should be noted that the tab spacing adjustment thickness threshold △T1 and the embossing roller adjustment threshold △T2 are obtained through model training.

[0040] Step S4, detecting the adjusted tab spacing and pole roll thickness, outputting the tab alignment deviation value and pole roll thickness deviation value, and feeding back the larger or smaller values ​​of the tension adjustment value, the tab spacing adjustment value and the embossing roller pressure adjustment value.

[0041] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "or / and" used herein includes any and all combinations of one or more of the related listed items.

[0042] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0043] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A lithium battery winding closed-loop control system across processes, characterized in that: It includes a rolling pole piece thickness measuring device installed in the rolling process, a cutting coil thickness measuring device installed in the cutting coil device, and an edge calculator; The rolled pole piece thickness measuring device is used to measure the rolled thickness of the pole piece; The coil cutting thickness measuring device is used to measure the thickness of the pole piece in the Y direction; The edge calculator is configured with a neural network self-learning model, which is used to output a tension adjustment value, a pole lug spacing adjustment value, and an embossing roller pressure adjustment value based on the pole piece rolling thickness and the pole piece Y-direction thickness.

2. A lithium battery winding closed-loop control system across processes according to claim 1, characterized in that: The roller-pressed pole piece thickness measuring device is installed on a moving module, and the moving module drives the roller-pressed pole piece thickness measuring device to move along the pole piece X direction.

3. A lithium battery winding closed-loop control system across processes according to claim 2, characterized in that: The roller-pressed electrode thickness measuring device is used for: The measured pole piece rolling thickness data is uploaded to the edge calculator, and the pole piece rolling thickness covariance and standard deviation data are calculated and input into the constructed neural network model.

4. A lithium battery winding closed-loop control system across processes according to claim 1, characterized in that: The slitting and thickness measuring device is arranged behind the unwinding device and before the laser cutting device, and is fixed on the large plate of the slitting device.

5. A lithium battery winding closed-loop control system across processes according to claim 4, characterized in that: The slitting and thickness measuring device comprises: a servo module, a laser rangefinder, a lower stabilizing roller and an upper stabilizing roller; The lower stabilizing roller and the upper stabilizing roller are used to fix and transport the pole piece, and the laser rangefinder is located on the upper and lower sides of the pole piece, and the laser rangefinder is used to upload the measured Y-direction thickness data of the pole piece to the edge calculator; The servo module is used to drive the laser rangefinder.

6. A lithium battery winding closed-loop control system across processes according to claim 5, characterized in that: The coil cutting equipment also includes: a tab spacing testing device, a tension control system and a tension detection system; The tab spacing test device is used to measure the tab spacing and upload it to the edge calculator; The tension detection system is used to detect the tension value during the pole piece conveying process and upload it to the edge calculator; The tension control system is used to adjust the tension value.

7. A lithium battery winding closed-loop control system across processes according to claim 6, characterized in that: The tab spacing testing device comprises: a servo motor, a laser sensor, an encoder and a winding needle; The winding needle is used to wind the small pole piece, the servo motor is used to drive the winding needle to rotate, the laser sensor is installed at the middle straight line aligned with the winding pole ear, and the distance from the pole piece is h; the encoder is installed on the winding needle; There are at least two laser sensors, which are respectively arranged before the positive and negative electrodes are rolled up. The two laser sensors are respectively used to mark the positive electrode Mark position, the starting and ending positions of the pole lug, and the negative electrode Mark position, the starting and ending positions of the pole lug.

8. A lithium battery winding closed-loop control system across processes according to claim 1, characterized in that: The closed-loop control system also includes a thickness detector installed in the assembly inspection machine, and the thickness detector is used to detect the overall thickness of the pole coil to determine whether it can be inserted into the aluminum shell.

9. A lithium battery winding closed-loop control method across processes, characterized in that: The method is implemented based on the lithium battery winding closed-loop control system across processes according to any one of claims 1 to 8, and comprises: Constructing and training a neural network self-learning model, wherein the neural network self-learning model takes the covariance and standard deviation of the thickness of the tab alignment, the covariance and standard deviation of the thickness of the pole piece as input, and takes the tension adjustment value, the tab spacing adjustment value, and the embossing roller pressure adjustment value as output; Detect the tension value during the electrode conveying process, determine the change of the tension of the electrode during the conveying process, and adjust the tension value if the tension change value is greater than the threshold value △K; Obtain the electrode sheet rolling thickness in the X direction measured by the rolling electrode sheet thickness measuring device and the electrode sheet thickness in the Y direction measured by the cutting and coiling thickness measuring device, and determine whether the deviation between the measured thickness and the theoretical thickness is greater than the electrode tab spacing adjustment thickness threshold △T1. If not, no adjustment is made. If greater than the electrode tab spacing adjustment thickness threshold △T1, further determine whether it is greater than the embossing roller adjustment threshold △T2. If greater than both △T1 and △T2, turn on the embossing roller, and adjust the pressure of the embossing roller based on the output of the neural network self-learning model. If greater than △T1 and less than △T2, adjust the electrode tab spacing based on the output of the neural network self-learning model.

10. A lithium battery winding closed-loop control method across processes according to claim 9, characterized in that: The construction and training of the neural network self-learning model includes: Acquire a training data set, which includes: acquiring the tension value of the pole piece during transportation, the thickness measurement value of the roller in the X direction, and the thickness measurement value of the pole piece in the Y direction; calculating the covariance and standard deviation of the pole ear alignment thickness, and the covariance and standard deviation of the pole piece thickness based on the acquired data; taking the calculated covariance and standard deviation of the pole ear alignment thickness, the covariance and standard deviation of the pole piece thickness, and the tension adjustment value, the pole ear spacing adjustment value, and the embossing roller pressure adjustment value under the current working condition as a set of training data; acquiring the training data set in the above manner based on the measurement data and adjustment data during the pole piece transportation process; The training data set is input into the constructed neural network self-learning model, and the relationship between the tab alignment, core thickness deviation and tension, tab spacing and embossing roller pressure adjustment value is found through model self-learning; and the model parameters are corrected based on the predicted deviation value and the actual detected deviation value to obtain a trained neural network self-learning model.

11. A lithium battery winding closed-loop control method across processes according to claim 10, characterized in that: The method further comprises: The adjusted pole lug spacing and pole roll thickness are detected, and the tension adjustment value, the pole lug spacing adjustment value and the embossing roller pressure adjustment value are fed back to optimize the neural network self-learning model.

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