Combustion control using spiking neural networks
US11655775B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 15, 2022 |
| Grant date | May 23, 2023 |
| Priority date | — |
| Expiry date | Aug 15, 2042 |
Classification
- Technology area (CPC F)Mechanical Engineering; Lighting; Heating
- CPC primaryF02D2200/501
- WIPO fieldEngines, pumps, turbines
- WIPO sectorMechanical engineering
Abstract
A system that controls a combustion engine stores network vectors in a memory that represent diverse and distinct spiking neural networks. The system decodes the network vectors and trains and evaluates the spiking neural networks. The system duplicates selected network vectors and crosses-over the duplicated network vectors that represent modified spiking neural networks. The system mutates the crossed-over duplicated network vectors by randomly modifying one or more portions of the crossing-over duplicated network vectors. The system meter exhaust gas into an intake manifold when an engine temperature exceeds a threshold, an engine load exceeds a threshold, an engine's rotation-per-minute rate exceeds a threshold, and a fuel flow exceeds a threshold. The system modifies fuel flow into an engine's combustion chamber on a cycle-to-cycle basis by the trained spiking neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.