Battery Electrode Assembly Selection for Cell Performance Consistency
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Solution Overview
Problem
The complexity of battery production processes leads to production-related tolerances, resulting in variations in battery cell performance and decreased production yield, making it challenging to achieve consistent high-quality battery cells.
Innovation Solution
A computer-implemented method for determining an electrode assembly by providing electrode profiles with manufacturing process measurement data and inputting them along with target cell properties into an algorithm, which specifies the optimal electrode assembly for assembly, enabling data-driven electrode balancing and cell optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional cell production with quality grading is used, then production-related tolerances are accommodated, but production yield decreases and cell performance varies
Solution Approach 1:
The patent applies preliminary action by determining the electrode assembly configuration before battery cell assembly. The method calculates optimal electrode arrangements based on predicted cell properties from electrode manufacturing data, allowing electrodes to be pre-sorted and pre-configured into assemblies that are guaranteed to meet performance specifications. This prevents post-assembly rejection and maximizes production yield while ensuring consistent cell performance.
Solution Approach 2:
The patent implements feedback by using measured electrode manufacturing parameters (weight, area, thickness) to predict final battery cell properties. This predictive feedback loop allows the system to adjust electrode assembly configurations in real-time based on actual electrode variations, compensating for manufacturing tolerances and ensuring that only assemblies meeting performance criteria are produced, thereby maintaining both yield and performance consistency.
2Productivity
If electrode manufacturing variations occur, then production tolerances are inevitable, but cell performance deviates from targets
Solution Approach 1:
The patent applies parameter changes by using multiple electrode parameters (weight, area, thickness) in combination rather than relying on single-parameter specifications. By calculating cell properties based on combinations of these parameters and using optimization algorithms to select electrode assemblies that meet target cell properties, the system can accommodate electrode manufacturing variations while maintaining production throughput and achieving consistent cell performance.
3Reliability
If trial-and-error production operations are used, then cell performance can be optimized, but production efficiency decreases and costs increase
Solution Approach 1:
The patent eliminates trial-and-error operations by performing preliminary calculations of cell properties based on electrode manufacturing data before assembly. The system determines optimal electrode assemblies in advance using algorithms that predict cell performance, allowing production to proceed directly to assembly without iterative testing. This reduces production time and costs while ensuring consistent cell performance.
Solution Approach 2:
The patent uses copying by creating a digital model of the electrode assembly configuration based on measured electrode parameters. This virtual model allows prediction of cell properties without physical assembly, enabling optimization of electrode combinations before actual manufacturing. This digital twin approach eliminates the need for time-consuming trial-and-error physical testing while maintaining production efficiency.
Data Source
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AI summary
The invention relates to a method of determining an electrode assembly for a battery cell, the method comprising: providing a plurality of electrode profiles, each electrode profile being associated with an electrode and comprising measurement data of a manufacturing process of the electrode, providing a target cell property of the battery cell, inputting the electrode profiles of the plurality of electrodes and the target cell property into an algorithm, wherein in response the algorithm: determines an electrode assembly according to which the electrodes are to be assembled