A method and system for non-destructive evaluation of the state of cure of a cell based on ultrasonic signals
By employing a non-destructive evaluation method for the solidification state of battery cells based on ultrasonic signals, and utilizing ultrasonic waves and machine learning algorithms to monitor the solidification state of battery cells in real time, the method solves the problems of lag and inconsistency in solidification state monitoring during lithium-ion battery manufacturing, and achieves efficient and precise battery production control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TSINGHUA UNIVERSITY
- Filing Date
- 2026-03-17
- Publication Date
- 2026-07-03
AI Technical Summary
In the current lithium-ion battery manufacturing process, there is a lack of non-destructive, in-situ, and precise means for real-time monitoring of the cell curing state, which leads to problems of under-curing or over-curing in mass production. Furthermore, traditional testing methods are costly and have a time lag.
A non-destructive evaluation method for the curing state of battery cells based on ultrasonic signals is adopted. Ultrasonic signals are collected and processed by acoustic coupling on the surface of the battery cell through an ultrasonic transmitting and receiving device. Multidimensional features and machine learning algorithms are used to monitor the curing state of the battery cell in real time, and the state evaluation model is used for classification and closed-loop control of process parameters.
It enables in-situ, non-destructive, and real-time monitoring of the cell curing process, improving the consistency and efficiency of battery manufacturing. It can accurately identify the curing stage and optimize process parameters, reduce energy consumption, and achieve personalized quality grading for each cell.
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