Control device of internal combustion engine

Patent metadata

Field	Value
Publication number	US-10876500-B2
Application number	US-201816173062-A
Country	US
Kind code	B2
Filing date	Oct 29, 2018
Priority date	Dec 27, 2017
Publication date	Dec 29, 2020
Grant date	Dec 29, 2020

Abstract

A control device of an internal combustion engine using a neural network, wherein an output value obtained by experiments is made training data for a value of an operating parameter of the engine in a presumed usable range, while an output value obtained by prediction without relying on experiments is made training data for a value of the operating parameter of the engine outside of the presumed usable range. The training data obtained by experiments and the training data obtained by prediction are used to learn the weights and the biases of the neural network so that an output value which changes in accordance with a value of an operating parameter of the engine matches the training data, and thereby even outside of the presumed usable range of the operating parameter, the output value can be suitably estimated.

First claim

The invention claimed is:

1. A control device of an internal combustion engine having an electronic control unit, said electronic control unit comprising;
a parameter value acquiring unit for acquiring a value of an operating parameter of the engine,
a processing unit for performing processing using a neural network comprised of an input layer, at least one hidden layer, and an output layer, and
a storage unit, the value of the operating parameter of the engine being input to the input layer, and an output value which changes in accordance with the value of the operating parameter of the engine being output from the output layer, wherein
there is a presumed usable range for the value of the operating parameter of the engine,
an output value obtained by experiments is stored as training data in the storage unit for a value of the operating parameter of the engine within the presumed usable range,
an output value obtained by prediction is stored as training data in the storage unit for a value of the operating parameter of the engine outside the presumed usable range,
the training data obtained by experiments and the training data obtained by prediction are used in the processing unit to learn at least one weight and at least one bias of the neural network so that an output value which changes in accordance with the value of the operating parameter of the engine matches the training data corresponding to the value of the operating parameter of the engine, and
the neural network for which the weight and the bias are learned is used to estimate the output value for the value of the operating parameter of the engine.

2. The control device of an internal combustion engine according to claim 1 , wherein the output value obtained by prediction is a past empirical value.

3. The control device of an internal combustion engine according to claim 1 , wherein the operating parameter of the engine is an engine speed, while the output value is an amount of exhaust loss.

4. The control device of an internal combustion engine according to claim 1 , wherein the operating parameter of the engine is a combination of a throttle valve opening degree, engine speed, and ignition timing, while the output value is an amount of NO X exhaust.

Assignees

• Toyota Motor Co Ltd

Inventors

• Kitagawa Eiki
• Ehara Masato

Classifications

• F02D2200/0402

  the parameter being determined by using a model of the engine intake or its components · CPC title

• F02D41/1405 Primary

  Neural network control · CPC title

• F02D2041/1437

  Simulation · CPC title

• F02B3/06

  with compression ignition (compression ignition engines using air or gas for blowing fuel into compressed air in cylinder F02B13/02) · CPC title

• F02D41/0072

  Estimating, calculating or determining the EGR rate, amount or flow (sensors in EGR systems F02M26/45) · CPC title