ARTIFICIAL INTELLIGENCE MODEL-BASED COMPUTING DEVICE AND ANALYSIS METHOD FOR OPTIMAL DESIGN OF SECONDARY BATTERY ELECTROLYTE

Abstract: proposed is an artificial intelligence (ai) model-based analysis method for an optimal design of a secondary battery electrolyte. the ai model-based analysis method may include obtaining a tomography image of a calendared battery material, and inputting the tomography image to a pre-trained ai model. the method may also include outputting a viscosity and a transmittance of a battery electrolyte through the ai model. the ai model may include a first ai model configured to analyze porosity distribution and tortuosity information about the tomography image input thereto. the ai model may also include a second ai model configured to output a viscosity and a transmittance corresponding to the electrolyte, based on the porosity distribution and tortuosity information.

Inventor(s): Jaekyu Lee, Sang Yub Lee, Inpyo Cho

CPC Classification: G06F30/28 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models ))

Search for rejections for patent application number 20250165683