Method for determining recycling of electrodes of secondary batteries, program for determining recycling of electrodes of secondary batteries, and device for determining recycling of electrodes of secondary batteries
A machine learning-based method estimates the electrolyte diffusion coefficient threshold to assess electrode deterioration, facilitating efficient recycling decisions by distinguishing between structural and porosity-related deterioration in secondary batteries.
JP7725759B2Active Publication Date: 2025-08-19MAXELL LTD
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Patent Information
- Application Number
- JP2025505646
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2023-03-08
- Filing Date
- 2024-03-06
- Publication Date
- 2025-08-19
- Estimated Expiration
- 2044-03-06
AI Technical Summary
Technical Problem
Existing methods for recycling secondary battery electrodes are costly, with dry recycling being the most expensive, and determining the degree of electrode deterioration is necessary to decide between horizontal or wet recycling.
Method used
A method using machine learning to estimate a threshold value of the electrolyte diffusion coefficient based on characteristic parameters, comparing it with a baseline to determine the degree of electrode deterioration for recycling decisions.
Benefits of technology
Accurately determines the suitability of electrodes for recycling, distinguishing between structural and porosity-related deterioration, enabling efficient classification for recycling methods.
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Smart Images
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Abstract
Provided is a method for assessing recycling of a secondary battery electrode, the method making it possible to assess a degree of deterioration of the electrode to be recycled. This method for assessing recycling of a secondary battery electrode involves assessing the degree of deterioration of an electrode included in a secondary battery being assessed, and includes: a threshold estimating step (step S1) for using a trained model to estimate a threshold Dth of an electrolytic solution diffusion coefficient of the secondary battery being assessed, on the basis of input data, which are data including some characteristic parameters of the secondary battery being assessed; and a classifying step (step S2) for comparing the threshold Dth with a threshold Dth0 of the electrolytic solution diffusion coefficient before deterioration of the secondary battery being assessed or a secondary battery of the same type as the secondary battery being assessed, and, on the basis of a difference ΔDth=Dth-Dth0 between the threshold Dth and threshold Dth0, classifying the secondary battery being assessed.
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Citation Information
Patent Citations
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