Method for manufacturing a solid electrolyte layer, and method for manufacturing a secondary battery

By measuring stress and strain parameters with a dynamic viscoelastic device and applying machine learning, the method predicts coating film quality, addressing the inadequacy of thixotropy index measurement to ensure efficient and appropriate coating film production.

JP2026100941APending Publication Date: 2026-06-22TOYOTA JIDOSHA KK

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
TOYOTA JIDOSHA KK
Filing Date
2024-12-10
Publication Date
2026-06-22

AI Technical Summary

Technical Problem

The thixotropy index value measured by a viscometer is insufficient to determine the quality of the coating film after application, leading to wasted coating work as issues are discovered only after application.

Method used

A method involving the use of a dynamic viscoelastic device to measure stress and strain parameters in the shear stress range of 0.01 to 100 (Pa) for predicting the quality of the coating film by obtaining parameters from a solid electrolyte slurry, and employing machine learning to select appropriate explanatory variables.

Benefits of technology

Enables prediction and determination of coating film quality in advance, suppressing unnecessary coating and efficiently obtaining suitable films by using a machine learning model based on stress-strain data.

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Abstract

The present invention provides a method for manufacturing a solid electrolyte layer that can efficiently produce a suitable coating film. [Solution] The method includes the steps of: preparing a solid electrolyte slurry by mixing a solid electrolyte, a conductive additive, a binder, and a solvent; obtaining parameters of the solid electrolyte slurry using a dynamic viscoelastic device; determining the quality of the coating film from the obtained parameters; and coating the solid electrolyte slurry that was determined to be good in the determination step.
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