Method for Modeling 3D Electrode Structures

3D Electrode Digital Twin Modeling Based on Heterogeneity Parameters and Iterative Conductivity Similarity Calibration

This technology models 3D electrode structures based on the structural and electrical property data of actual electrode samples. It calibrates an initial model using heterogeneity and asymmetry parameters, then iteratively compares and adjusts the electrical and ionic conductivity similarities between the sample and the model to enhance the accuracy of the digital twin.

Existing 3D formation methods suffer from low alignment with physical objects. 3D reconstruction methods are limited by the time-consuming nature of the process and the potential for sample deformation during cutting and specimen preparation.

This technology consists of an iterative algorithm that identifies sample structures, extracts design parameters for constituent materials, and creates a primary model. It then generates a secondary model by incorporating material heterogeneity and asymmetry, and recalibrates binder distribution and active material/solid electrolyte surface coatings based on discrepancies between measured and modeled electrical and ionic conductivities. It can be applied to all-solid-state battery electrode design and simulation-based development processes for battery material companies, helping to reduce the number of prototypes required and shorten the time needed for electrode composition optimization.

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Key Features:

• A first parameter acquisition step of extracting a first parameter, which is a design parameter for constituent materials, using the structure of the sample.
• A first modeling step of generating a first model of the 3D electrode structure by inputting the sample structure data and the first parameter into a modeling program.
• A second modeling step of generating a second model by calibrating the first model with a second parameter representing at least one of the heterogeneity or asymmetry of the constituent materials.
• A structural precision calibration step of recalibrating material connectivity and surface modification if the electrical property similarity between the sample and the second model is below a preset value.

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