A tab alignment method, device, apparatus, medium and product

By using a variable-length memory LSTM model to predict electrode and separator thickness, the problem of insufficient attention to cell thickness variation and time window size was solved, enabling accurate calculation and alignment of electrode spacing, and improving production efficiency and automation.

CN119994405BActive Publication Date: 2026-05-29HEFEI GUOXUAN HIGH TECH POWER ENERGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HEFEI GUOXUAN HIGH TECH POWER ENERGY
Filing Date
2025-02-07
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies do not consider the deviation of cell thickness data, the LSTM model lacks attention to the size of the time window, and the level of automation in the spacing correction process is low, resulting in inaccurate tab alignment and low production efficiency.

Method used

A variable-length memory LSTM model is used to predict the thickness of the electrode and the diaphragm. By constructing prediction models for the thickness of the positive electrode, negative electrode and diaphragm, and combining the channel attention mechanism, the time window is adaptively adjusted, and the electrode spacing is automatically calculated and aligned.

Benefits of technology

It improves the accuracy of electrode spacing calculation, achieves precise electrode alignment, enhances production efficiency and automation level, and reduces waste of manpower and material resources.

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Abstract

The application discloses a tab alignment method, device, equipment, medium and product in the technical field of battery production, which comprises the following steps: obtaining the materials of the pole piece and the diaphragm, and the thickness of the pole piece and the diaphragm at the rolling moment; selecting a thickness prediction model based on a variable-length memory LSTM model according to the pole piece and the diaphragm; inputting the thickness of the pole piece and the diaphragm at the rolling moment into the corresponding thickness prediction model respectively to obtain the thickness of the pole piece and the diaphragm at a future target moment; calculating the tab spacing according to the thickness of the pole piece and the diaphragm at the future target moment; and performing a tab alignment operation at the future target moment according to the tab spacing. The application can accurately obtain the thickness of the pole piece, improve the accuracy of the input data of the tab spacing calculation, finally calculate the accurate position of the tab, and thus realize the precise tab alignment operation.
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