Machine learning system for estimating a temperature of an exhaust purification catalyst
US10635976B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 23, 2018 |
| Grant date | Apr 28, 2020 |
| Priority date | — |
| Expiry date | Jul 20, 2038 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A learning use data set showing relationships among an engine speed, an engine load rate, an air-fuel ratio of the engine, an ignition timing of the engine, an HC or CO concentration of exhaust gas flowing into an exhaust purification catalyst and a temperature of the exhaust purification catalyst is acquired. The acquired engine speed, engine load rate, air-fuel ratio of the engine, ignition timing of the engine, and HC or CO concentration of the exhaust gas flowing into the exhaust purification catalyst are used as input parameters of a neural network and the acquired temperature of the exhaust purification catalyst is used as training data to learn a weight of the neural network. The learned neural network is used to estimate the temperature of the exhaust purification catalyst.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.