Cylindrical Battery Electrode Design Optimization
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Solution Overview
Problem
Existing methods struggle to design an electrode for a cylindrical battery that can be encapsulated while maintaining the balance of multi-objective optimization results, due to complex constraints and variable changes during the winding process.
Innovation Solution
An information processing method and device that performs crossover and mutation steps to generate new individuals based on explanatory variables, with a pullback constraint to ensure the electrode diameter fits within the cylindrical container, using a combination of thicknesses and electrode length as explanatory variables, and resetting values to adhere to constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional constraint methods are applied to each independent explanatory variable, then feasibility of individual variables is improved, but the winding diameter deviation problem cannot be solved due to complex interactions between multiple variables
Solution Approach 1:
The patent segments the constraint management into two levels: individual variable constraints (first constraint condition) and collective variable constraints (second constraint condition). This segmentation allows independent optimization of each variable while simultaneously managing their combined effects on winding diameter, resolving the contradiction between precision and complexity.
Solution Approach 2:
The patent introduces a new dimension of constraint by adding the second constraint condition that operates across multiple variables simultaneously. This dimensional extension transforms the problem from managing individual variable constraints to managing a hierarchy of constraints, enabling control over the collective impact on winding diameter without increasing operational complexity.
2Reliability
If all variables are pulled back by calculating proportions to satisfy constraints, then feasibility is improved, but the balance of evolutionary optimization results is lost
Solution Approach 1:
The patent applies partial action by selectively pulling back only those variables that violate the second constraint condition, rather than uniformly adjusting all variables. This selective approach maintains the balance of evolutionary results while ensuring constraint satisfaction, preventing unnecessary disruption to optimal solutions.
Solution Approach 2:
The patent implements feedback mechanisms where the evaluation unit continuously monitors both constraint conditions and provides information back to the determination unit. This feedback loop enables dynamic adjustment of variables, maintaining reliability through constraint satisfaction while preserving optimization efficiency by only making necessary adjustments.
3Adaptability or versatility
If multiple components are considered as variables, then design flexibility is improved, but the number of variables affecting dimensions increases making simple constraint methods ineffective
Solution Approach 1:
The patent segments variables into those affecting electrode dimensions and those affecting wound body dimensions. This segmentation allows the system to maintain design flexibility by considering multiple components as variables while managing complexity through structured constraint conditions that address different groups of variables differently.
Solution Approach 2:
The constraint determination unit performs multiple functions: evaluating individual variable constraints, evaluating collective variable constraints, and coordinating between them. This multi-functionality allows the system to handle the increased complexity from multiple variables while maintaining design flexibility through a unified constraint management approach.
4Stability of the object's composition
If fixed values are determined based on design concepts, then design consistency is improved, but the ability to adapt to manufacturing constraints is reduced
Solution Approach 1:
The patent introduces dynamics by making fixed values determined from design concepts adjustable through the evolutionary optimization process. The system dynamically adjusts these values while maintaining their role as design anchors, allowing adaptation to manufacturing constraints without losing design consistency. The constraint conditions serve as dynamic boundaries within which design concepts can be flexibly applied.
Data Source
AI summary
An information processing device sets a sum value of thicknesses of a first member group and a second member group included in an electrode of a cylindrical battery, and an electrode length as the explanatory variable group, generates a cylindrical diameter of a wound body as an individual from the sum value of the thicknesses of the first member group and the second member group and the electrode length, and resets a reset value based on a plurality of explanatory variables with respect to the plurality of explanatory variables deviating from a pullback constraint for each individual.