System for detecting abnormality in blow-by gas feed path in internal combustion engine
AssigneeToyota Jidosha Kabushiki Kaisha
InventorsHarufumi MUTO, Naoya OKUBO, Akihiro KATAYAMA, Yosuke HASHIMOTO
Life of this patent
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Abstract
A learned neural network learned in weights using an engine load, an engine speed, and an intake pressure inside the engine intake passage downstream of the throttle valve (19) as input parameters of the neural network and using leakage of blow-by gas from a blow-by gas feed path (20) as a truth label is stored. At the time of operation of the vehicle, the learned neural network is used to detect the abnormality of leakage of blow-by gas from the blow-by gas feed path (20) from the above input parameters.
Claims9
A system for detecting an abnormality in a blow-by gas feed path in an internal combustion engine comprising
- an intake air amount detector arranged in an engine intake passage,
- a throttle valve arranged in the engine intake passage downstream of the intake air detector, blow-by gas in an engine crankcase being fed through a blow-by gas feed path into the engine intake passage downstream of the throttle valve, and
- a PCV valve arranged in the blow-by gas feed path to control an amount of flow of blow-by gas, wherein
- a learned neural network learned in weights using an engine load, an engine speed, and an intake pressure in the engine intake passage downstream of the throttle valve as input parameters of the neural network and using leakage of blow-by gas from the blow-by gas feed path as a truth label is stored and,
- at the time of operation of a vehicle, the learned neural network is used to detect the abnormality of leakage of blow-by gas from the blow-by gas feed path from the input parameters.
A system for detecting an abnormality in a blow-by gas feed path in an internal combustion engine comprising
- an intake air amount detector arranged in an engine intake passage,
- a throttle valve arranged in the engine intake passage downstream of the intake air detector, blow-by gas in an engine crankcase being fed through a blow-by gas feed path into the engine intake passage downstream of the throttle valve, and
- a PCV valve arranged in the blow-by gas feed path to control an amount of flow of blow-by gas, wherein
- a learned neural network learned in weights using an engine load, an engine speed, an amount of intake air detected by the intake air amount detector, an atmospheric pressure, an atmospheric temperature, and an opening degree of the throttle valve as input parameters of the neural network and using leakage of blow-by gas from the blow-by gas feed path as a truth label is stored and,
- at the time of operation of a vehicle, the learned neural network is used to detect the abnormality of leakage of blow-by gas from the blow-by gas feed path from the input parameters.
Dependencies are inferred from the claim text.