Using an artificial neural network for gas flows estimation in a spark ignitied internal computer engine
US11286871B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 26, 2021 |
| Grant date | Mar 29, 2022 |
| Priority date | — |
| Expiry date | Jan 26, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/04
- WIPO fieldEngines, pumps, turbines
- WIPO sectorMechanical engineering
Abstract
A combustion control method and system for an engine of a vehicle comprises a controller configured to access a trained feedforward artificial neural network configured to model a volumetric efficiency (VE) of the engine based on measured engine speed, engine intake manifold absolute pressure, intake and exhaust camshaft positions, intake air temperature, and engine coolant temperature, generate a base VE of the engine using the trained feedforward artificial neural network and the measured parameters, estimate an air charge mass flowing to each cylinder of the engine based on the base VE of the engine, and control combustion in the cylinders of the engine based on the estimated air charge mass to improve at least one of combustion stability, torque response, and fuel economy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.