Battery Cell ID Recovery Using Image Similarity and Rereading
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Solution Overview
Problem
The failure to track battery cells during the manufacturing process leads to increased time and costs due to manual intervention and disposal of entire batches when quality issues arise, as existing recognition methods are inaccurate and time-consuming.
Innovation Solution
A cell ID recovery method and system utilizing electronic control devices, an EDC server, and a cell ID recovery unit that employs deep learning and clustering to recover unrecognized cell IDs by calculating similarities and re-reading images, thereby improving tracking accuracy and reducing manual effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual recognition methods are used to identify cell IDs, then the system is simple to implement, but the recognition accuracy is low and time-consuming
Solution Approach 1:
The patent replaces manual mechanical recognition with an automated image recognition system that captures cell ID images and processes them through electronic devices to automatically identify and track battery cells, thereby improving accuracy and reducing time consumption
Solution Approach 2:
The patent creates digital copies of cell ID images through image capture devices and stores them in a database, allowing for automated analysis and comparison without requiring manual inspection of physical cell IDs
2Productivity
If tracking of battery cells fails during manufacturing, then the manufacturing process can continue, but quality problem identification becomes impossible and requires manual intervention
Solution Approach 1:
The patent implements a feedback mechanism where cell ID images are captured at each manufacturing stage, stored in a database, and used to track cells throughout the production process, enabling automatic identification of quality problems without interrupting manufacturing
Solution Approach 2:
The patent introduces an intermediary database system that stores cell ID images and manufacturing process data, serving as a mediator between the manufacturing process and quality control analysis, allowing continuous production while maintaining traceability
3Reliability
If all battery cells produced during a quality problem period are discarded, then quality control is ensured, but disposal costs increase significantly
Solution Approach 1:
The patent segments the battery cell population by individual cell ID tracking, allowing identification and isolation of only the specific cells that experienced quality problems rather than discarding entire batches, thereby reducing waste while maintaining quality control
4Loss of information
If experienced engineers manually collect and process production history, then quality problem analysis can be performed, but significant time and human resources are required
Solution Approach 1:
The patent implements a self-service system where the database automatically collects, stores, and processes production history data linked to cell IDs, enabling automated quality problem analysis without requiring manual data collection and processing by engineers
Data Source
AI summary
A manufacturing process system for controlling a plurality of unit manufacturing processes to assemble a plurality of battery cells may include: a plurality of electronic control devices that controls the plurality of unit manufacturing processes; an equipment data collection (EDC) server that receives and stores a plurality of recognized cell ID images and a plurality of unrecognized cell ID images from the plurality of electronic control devices; and a cell ID recovery unit that recovers a candidate cell ID image most similar to a first unrecognized cell ID image corresponding to a cell ID. The candidate cell ID image is identified among candidate cell ID images based on a first cell ID location corresponding to the first unrecognized cell ID image among the plurality of unrecognized cell ID images. When the cell ID recovery for the first unrecognized cell ID image fails, the cell ID recovery unit may perform rereading on the first unrecognized cell ID image.