A method for estimating temperature of an internal combustion engine exhaust gases, a system for estimating exhaust gas temperature, and an engine equipped with such a system. The method uses an estimator with a neural network provided with a feedback loop returning directly or indirectly in the net
A method for estimating temperature of an internal combustion engine exhaust gases, a system for estimating exhaust gas temperature, and an engine equipped with such a system. The method uses an estimator with a neural network provided with a feedback loop returning directly or indirectly in the network input one or more quantities of the network output.
대표청구항▼
The invention claimed is: 1. A method of estimating an exhaust gas temperature of an engine, comprising: estimating the exhaust gas temperature of the engine using an estimator with a neuronal network, provided with a feedback loop, returning, directly or indirectly, to a network input, one or more
The invention claimed is: 1. A method of estimating an exhaust gas temperature of an engine, comprising: estimating the exhaust gas temperature of the engine using an estimator with a neuronal network, provided with a feedback loop, returning, directly or indirectly, to a network input, one or more of quantities available at an output of the network. 2. The method as claimed in claim 1, wherein data is supplied at an input of the estimator, relative to gas temperature upstream of a turbine placed on an engine exhaust line, the estimator supplying, at an output, an estimate of the exhaust gas temperature downstream of the turbine. 3. The method as claimed in claim 1, implementing a preprocessing of one or more estimator input variables by making calculations based on known physical equations. 4. The method as claimed in claim 1, implementing a reprocessing of some of quantities at the network output before they are returned, according to an indirect relooping, to the network input. 5. The method as claimed in claim 1, further comprising a prior estimator learning using a database representative of important operating zones. 6. The method as claimed in claim 1, implementing a postprocessing of the temperature estimate made by the neuronal network. 7. The method as claimed in claim 6, wherein a feedback is made of the temperature estimate at an output of the postprocessing. 8. A system for estimating an exhaust gas temperature of an engine, comprising: an estimator configured to estimate the exhaust gas temperature of the engine with a neural network including a feedback loop returning, directly or indirectly, one or more of network output variables to a network input. 9. The system as claimed in claim 8, wherein the estimator includes an input configured to receive data about exhaust gas temperature upstream of a turbine placed on an exhaust line of the engine, the estimator supplying, at an output, an estimate of the exhaust gas temperature downstream of the turbine. 10. The system as claimed in claim 8, wherein the estimator comprises a preprocessing module placed upstream of the neural network and configured to process one or more input variables of the estimator by making calculations based on known physical equations. 11. An internal combustion engine comprising a system for estimating an exhaust gas temperature as claimed in claim 8. 12. A motor vehicle comprising a system for estimating an exhaust gas temperature as claimed in claim 8. 13. The system as claimed in claim 8, wherein the estimator comprises a postprocessing module placed downstream of the neural network and configured to process a temperature estimate produced by the neural network. 14. The system as claimed in claim 13, further comprising a feedback of the temperature estimate, available at an output of the postprocessing module.
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