Abnormality detection system of engine cooling water recirculation system
US11174777B2 · kind B2 · utility
1Cited by
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6Claims
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Key dates
| Filing date | Jan 27, 2020 |
| Grant date | Nov 16, 2021 |
| Priority date | — |
| Expiry date | Mar 20, 2040 |
Classification
- Technology area (CPC F)Mechanical Engineering; Lighting; Heating
- CPC primaryF02D2200/021
- WIPO fieldEngines, pumps, turbines
- WIPO sectorMechanical engineering
Abstract
To estimate an engine cooling water temperature, four learned neural networks (150A, 150B, 150C, and 150D) are stored, in which weights are learned for the four states of whether the grille shutter (50) is opened and whether air blown by the blower (63) circulates through the air-conditioning use heater (65). The engine cooling water temperature is estimated using any one of the learned neural networks selected from among the four learned neural networks (150A, 150B, 150C, and 150D). An abnormality of the engine cooling water recirculation system is detected based on the estimated value of the engine cooling water temperature.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.