Pouch Cell Sealing Width Prediction for Battery Vent Timing
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Solution Overview
Problem
Existing methods for predicting the vent occurrence time of battery cells are time-consuming and inaccurate, requiring manual measurement and re-experimentation when venting is not directly observed.
Innovation Solution
A system and method utilizing a storage unit, measurement unit, and determination unit to collect and analyze data on sealing portion widths using machine learning or deep learning to automatically predict vent occurrence times, improving accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement of sealing portion width is used to predict vent occurrence time, then the prediction can be performed, but the process is time-consuming and requires re-experimentation when venting is not observed
Solution Approach 1:
The patent applies preliminary action by establishing a predictive model before venting occurs. The system collects sealing portion width data at regular intervals during high-temperature storage and uses a predictive algorithm to estimate vent occurrence time in advance, eliminating the need to wait for actual venting events and avoiding re-experimentation.
Solution Approach 2:
The patent replaces manual mechanical measurement with an automated image processing system. A camera captures images of the sealing portion, and software automatically measures width changes, substituting human observation and manual measurement with automated optical detection and computational analysis.
2Reliability
If frequent manual measurement of sealing portion width is performed to improve prediction accuracy, then prediction reliability increases, but the complexity of the measurement process increases
Solution Approach 1:
The patent applies self-service by implementing an automated system that performs measurement, data collection, and prediction without human intervention. The image processing system automatically captures sealing portion images, calculates width changes, and generates prediction results, making the complex measurement process self-executing and eliminating manual operational complexity.
Solution Approach 2:
The patent introduces an image processing system as an intermediary between the physical sealing portion and the prediction analysis. This intermediary automatically captures visual data, processes images to extract width measurements, and translates physical changes into quantitative data, simplifying the overall measurement process while maintaining high reliability.
3Productivity
If automated image processing is used to measure sealing portion width, then measurement efficiency increases, but the system complexity increases
Solution Approach 1:
The patent replaces manual mechanical measurement with automated image processing technology. A camera system captures images of the sealing portion, and computer vision algorithms automatically measure width changes, achieving high measurement efficiency through optical detection and computational analysis without manual intervention.
Solution Approach 2:
The patent creates a visual copy (image) of the physical sealing portion and performs measurements on this copy rather than the original object. The image processing system captures the sealing portion's appearance, extracts width information from the digital copy, and uses this data for prediction, separating the measurement process from direct physical manipulation.
Data Source
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AI summary
Provided is a system for predicting a vent occurrence time of a battery cell, which includes a terrace portion having a sealing portion and provided on at least one side of a pouch type battery case and an electrode lead protruding from an end of the terrace portion, the system including a storage unit for collecting data about vent occurrence times according to widths of a remaining sealing portion, a measurement unit for periodically measuring a width of a remaining sealing portion of the battery cell to be measured, and a determination unit for predicting a vent occurrence time of the battery case to be measured by comparing a measured width of the remaining sealing portion with the collected data.