Battery Cell Formation Screening for Abnormal Cell Detection
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Solution Overview
Problem
Existing methods for identifying abnormal battery cells, such as those with electrolyte or water content abnormalities, are inefficient, destructive, or fail to accurately distinguish between normal and abnormal cells, leading to potential safety issues and waste in battery systems.
Innovation Solution
A method using target feature data during the battery cell formation process, specifically utilizing a two-dimensional Gaussian model to analyze parameters like film-forming peak and dynamic internal resistance, allows for non-destructive identification of abnormal cells by determining distinct parameter variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods (resistance measurement or dismantling) are used to identify abnormal battery cells, then identification can be performed, but the detection effectiveness is poor for electrolytes with similar compositions or the analysis speed is slow and destructive
Solution Approach 1:
The patent performs identification of abnormal battery cells during the formation process, which is a preliminary stage before the battery cells are loaded into battery packs. By conducting resistance measurement and analysis at this early stage, the system can identify abnormalities before final assembly, preventing defective cells from being integrated into the final product. This preliminary action enables both accurate detection and timely identification without requiring post-assembly dismantling.
Solution Approach 2:
The patent replaces the mechanical/destructive method of dismantling battery cells for analysis with an electrical measurement approach. By measuring resistance characteristics during the formation process and comparing them against standard values, the system can identify electrolyte abnormalities without physically opening or damaging the battery cells. This substitution maintains detection effectiveness while eliminating the time loss and destruction associated with traditional dismantling methods.
2Productivity
If battery cells are loaded into battery packs without prior identification, then production efficiency is high, but abnormal cells cannot be removed and the entire battery pack must be scrapped
Solution Approach 1:
The patent implements identification of abnormal battery cells during the formation process, which occurs before the cells are loaded into battery packs. This preliminary identification action allows defective cells to be detected and flagged early in the production流程, enabling their removal before final assembly. Consequently, production efficiency is maintained because the identification happens during formation rather than requiring post-assembly inspection, while reliability is improved by preventing abnormal cells from being integrated into the final battery pack.
Solution Approach 2:
The system uses the inherent resistance characteristics of the battery cells themselves during the formation process to identify abnormalities. By measuring and comparing resistance values against predetermined standards, the battery cells effectively self-identify their own status without requiring external destructive testing. This self-service approach enables rapid screening that maintains production efficiency while ensuring only healthy cells proceed to battery pack assembly.
3Reliability
If resistance measurement is used to identify electrolyte abnormalities, then identification can be performed, but the method fails to accurately detect abnormalities in electrolytes with similar compositions
Solution Approach 1:
The patent measures resistance at multiple different voltages during the formation process rather than at a single voltage point. By obtaining resistance values at multiple voltage levels and comparing them against corresponding standard resistance values, the system can detect subtle variations in electrolyte composition that would be invisible at a single voltage measurement. This multi-parameter approach (multiple voltage points) enhances identification accuracy for electrolytes with similar compositions without requiring complex analytical instrumentation.
Solution Approach 2:
The patent replaces complex chemical analysis methods with electrical resistance measurement. Instead of using sophisticated instruments to chemically characterize electrolyte composition, the system uses simple resistance measurements at multiple voltages to infer electrolyte quality. This substitution maintains high identification accuracy while avoiding the device complexity and time consumption associated with traditional chemical analysis methods.
Data Source
AI summary
A method for identifying abnormal battery cell includes determining, based on target feature data of a battery cell, whether the battery cell is an abnormal battery cell. The target feature data includes feature data used for differentiation between an abnormal battery cell and a normal battery cell generated during a formation process.