Machine learning for optimization of power distribution to electric vehicle charging ports
US12233740B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 14, 2022 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Jun 2, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T90/12
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
An approach is provided for dynamically controlling power distribution amongst a plurality of charging station ports based on one or more objectives. A method includes obtaining input data, wherein the input data includes at least one of: user data associated with one or more current charging station users, or non-user data that is not associated with the current charging station users. The method includes processing the input data through one or more machine learning engines, wherein the one or more machine learning engines are trained to determine a particular power distribution, among the plurality of charging station ports, that achieves one or more objectives. The method includes configuring the plurality of charging station ports according to the particular power distribution. The particular power distribution specifies a maximum charging rate or a percentage of a power budget for each of the plurality of charging station ports.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.