Systems and methods for machine learning based foreign object detection for wireless power transmission
US11381118B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 19, 2020 |
| Grant date | Jul 5, 2022 |
| Priority date | — |
| Expiry date | Sep 19, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH02J50/402
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
An example method is provided for detecting and classifying foreign objects, performed at a computer system having one or more processors and memory storing one or more programs configured for execution by the one or more processors. The method includes obtaining a plurality of electrical measurements while a wireless-power-transmitting antenna is transmitting different power beacons. The method also includes forming a feature vector according to the plurality of electrical measurements. The method further includes detecting a presence of one or more foreign objects prior to transmitting wireless power to one or more wireless power receivers by inputting the feature vector to trained one or more classifiers, wherein each classifier is a machine-learning model trained to detect foreign objects distinct from the one or more wireless power receivers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.