Roll Map Controller for Battery Electrode Process Data Integrity
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Solution Overview
Problem
Existing secondary battery manufacturing processes lack reliable methods for generating and managing roll maps that integrate time-series data with real-world coordinates, leading to inefficiencies in process feedback and feedforward control.
Innovation Solution
A roll map generating system and method that utilizes a controller with memory regions and a central processing unit to collect and copy start and completion data of the roll-to-roll process, generating a roll map that integrates time-series data with real-world coordinates, enabling efficient process feedback and feedforward control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is collected in a single memory region for roll map generation, then the system structure is simple, but data reliability is compromised due to potential data loss
Solution Approach 1:
The memory device is divided into multiple memory regions (first memory region for collecting data, second memory region for storing copied data). This segmentation ensures that critical process data is preserved even if one region fails or gets overwritten, thereby improving data reliability without requiring a completely redundant system
Solution Approach 2:
The controller copies collected data from the first memory region to the second memory region. This creates a backup mechanism where critical data such as start and completion information is preserved in a separate location, ensuring data reliability while maintaining a relatively simple overall system architecture
2Manufacturing precision
If roll map generation integrates time-series data with real-world coordinates, then process control precision is improved, but data processing complexity increases
Solution Approach 1:
The controller acts as an intermediary device that collects data from various sources, integrates time-series information with real-world coordinates, and generates roll maps. This intermediary approach enables precise process control by systematically organizing complex data relationships without requiring direct complex interactions between all system components
Solution Approach 2:
The system performs preliminary data collection and organization in memory regions before generating the final roll map. By pre-processing and structuring data (collecting start/completion data, copying to backup regions) before final integration, the system achieves high precision while managing complexity through staged processing
3Productivity
If critical process data is preserved through multiple memory regions, then productivity is improved through better process feedback, but data management complexity increases
Solution Approach 1:
The system implements process feedback by collecting data about process events (start and completion), storing it in multiple memory regions, and using this information to generate roll maps that inform future process adjustments. This feedback mechanism improves productivity by enabling continuous process optimization while the multi-region memory structure manages the complexity of handling and preserving critical data
Data Source
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AI summary
Example embodiments of the present technology provide a roll map generating method. The roll map generating method includes collecting first data, which represents a first event of an electrode sheet where a roll-to-roll process is performed, in a first memory region, and copying the first data to a second memory region.