Physical model-guided machine learning framework for energy management of vehicles
US12325322B2 · kind B2 · utility
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Key dates
| Filing date | Oct 9, 2019 |
| Grant date | Jun 10, 2025 |
| Priority date | — |
| Expiry date | Sep 8, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of determining when to increase an amount electrical energy available to a vehicle includes setting a parameter for a function describing a reference state of charge as a function of distance traveled, wherein the reference state of charge represents a state of charge of the vehicle at which the amount of electrical energy available to the vehicle should be increased. For each trip of the vehicle, the parameter for the function is modified so that different trips of a same vehicle use different functions for the reference state of charge.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.