Systems, methods, and storage media for adapting machine learning models for optimizing performance of a battery pack
US11065978B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 25, 2019 |
| Grant date | Jul 20, 2021 |
| Priority date | — |
| Expiry date | Oct 4, 2039 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/70
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Systems, methods, and storage media for optimizing performance of a vehicle battery pack are disclosed. A method includes receiving data pertaining to cells within a battery pack installed in each vehicle of a fleet of vehicles, the data received from at least one of each vehicle, providing the data to a machine learning server, and directing the machine learning server to generate a predictive model. The predictive model is based on machine learning of the data. The method further includes providing the predictive model to each vehicle, the predictive model providing instructions for adjusting configuration parameters for each of the cells in the battery pack such that the battery pack is optimized for a particular use, and directing each vehicle to optimize performance of the vehicle battery pack based on the predictive model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.