Using an artificial neural network for combustion phasing control in a spark ignited internal combustion engine
US10788396B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 19, 2018 |
| Grant date | Sep 29, 2020 |
| Priority date | — |
| Expiry date | Dec 19, 2038 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/40
- WIPO fieldEngines, pumps, turbines
- WIPO sectorMechanical engineering
Abstract
A calibration system and method for a spark ignition engine of a vehicle involve artificially weighting engine dynamometer data in high engine load regions and using it to generate training data for an artificial neutral network (ANN). A plurality of ANNs are trained using the training data and the plurality of ANNs are then filtered based on their maximum error to obtain a filtered set of trained ANNs. A statistical analysis is performed on each of the filtered set of trained ANNs including determining a set of statistical metrics for each of the filtered set of trained ANNs and then one of the filtered set of trained ANNs having a best combination of error at high engine loads and the set of statistical error metrics is then selected. Finally, an ANN calibration is generated using the selected one of the filtered set of trained ANNs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.