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.
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
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.
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.
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.
Smart Images

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