Using machine learning techniques to estimate available energy for vehicles
US11592824B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 28, 2021 |
| Grant date | Feb 28, 2023 |
| Priority date | — |
| Expiry date | Aug 4, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/70
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Controlling a vehicle according to a trained neural network model capable of being used to generate an output from which one or more vehicle operating variables can be estimated. The neural network model can be used to process, as input, aggregated data corresponding to operational and/or environmental characteristics experienced by the vehicle during at least a portion of a voyage. The aggregated data can include a range of values collected over a period of time when the vehicle is traversing the portion of the voyage. The output generated by the neural network model, based on processing the input, can be further processed in order to determine, for example, an estimated state of charge and/or an estimated remaining flight time for the vehicle. Such estimated values can thereafter be used by a controller of the vehicle to maintain course or maneuver to a charging station.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.