Virtual sensor for estimating online unmeasurable variables via successive time derivatives
US11526724B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2019 |
| Grant date | Dec 13, 2022 |
| Priority date | — |
| Expiry date | Aug 8, 2041 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2050/0012
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided is a processor-implemented method and a processor in a vehicle for estimating the value of a quantity for which a physical sensor is not available for measurement. The method includes: receiving a plurality of measured signals representing values of measurable variables; computing, in real-time, time derivatives of the measured signals; and applying a trained feedforward neural network, in real-time, to estimate values for a plurality of unmeasurable variables, the unmeasurable variables being variables that are unmeasurable in real-time, the feedforward neural network having been trained using test data containing time derivatives of values for the measurable variables and values for the unmeasurable variables; wherein the vehicle uses the estimated values for the unmeasurable variables for vehicle operation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.