Diagnostic systems and methods for battery defect identification
US12203993B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 18, 2024 |
| Grant date | Jan 21, 2025 |
| Priority date | — |
| Expiry date | Apr 18, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01R31/392
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for battery defect identification. One of the methods includes receiving battery test data of a battery cell. The battery test data includes data of at least one battery cell property in a battery test during at least one portion of a battery cycle. The battery test includes applying one or more pulses on the battery cell. The battery test data of the battery cell is provided as input to a machine learning model running on the computing system to predict whether the battery cell will experience catastrophic fade. The machine learning model has been trained using training data including battery test data of battery cells that experienced catastrophic fade. A prediction result for the battery cell is automatically generated by the machine learning model. An action is taken based on the prediction result for the battery cell.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.