Deep learning approach for battery aging model
US11131713B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 12, 2019 |
| Grant date | Sep 28, 2021 |
| Priority date | — |
| Expiry date | Jan 31, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02E60/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method predicting a life span of a battery storage unit by employing a deep neural network is presented. The method includes collecting energy consumption data from one or more electricity meters installed in a structure, analyzing, via a data processing component, the energy consumption data, removing one or more features extracted from the energy consumption data via a feature engineering component, partitioning the energy consumption data via a data partitioning component, and predicting battery capacity of the battery storage unit via a neural network component sequentially executing three machine learning techniques.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.