In a control device for an internal combustion engine, a learning map includes at least one partitioned operating region. The at least one partitioned operating region corresponds to at least one of operating conditions of the internal combustion engine. The learning map includes a value of at least one control parameter stored in the at least one partitioned operating region. A control unit controls the internal combustion engine in accordance with the at least one control parameter. An updating unit learns a value of the at least one control parameter for the at least one of the operating conditions, thus performing an updating of the value of the at least one control parameter stored in the at least one partitioned operating region to the learned value. A partition changing unit changes a partition pattern of the learning map.

Fuel injection control of an engine is executed by setting a required injection amount and an air-fuel ratio correction amount. When setting conditions are met, the air-fuel ratio correction amount is set for a corresponding region to which a current intake air amount or load ratio belongs among a plurality of regions into which the range of the intake air amount or the load ratio is divided such that a region of a larger intake air amount or a higher load ratio becomes wider than a region of a smaller intake air amount or a lower load ratio. When purge conditions are met, a purge control valve is controlled such that purge of supplying an evaporated fuel gas to an intake pipe is executed based on a required purge ratio.

A vehicle control device includes a memory configured to store relationship definition data that defines a relationship between a state of a vehicle and an action variable, which is a variable relating to an operation of electronic equipment in the vehicle, and a processor. The processor is configured to execute acquisition processing of acquiring a detection value of a sensor and driving preference information, operation processing of operating the electronic equipment, reward calculation processing of providing a greater reward when a characteristic of the vehicle satisfies a criterion than when the characteristic of the vehicle does not satisfy the criterion, and update processing of updating the relationship definition data. The processor is configured to, based on update mapping, output the relationship definition data updated to increase an expected return on the reward when the electronic equipment is operated in compliance with the relationship definition data.

A method of controlling an electronically controllable valve of an engine includes receiving, from one or more operation sensors, operation data including sensor data corresponding to a condition of the engine, control inputs indicative of operation of equipment that includes the engine, or a combination thereof. The method includes determining, using a trained valve control model, an operating characteristic of the valve at least partially based on the operation data, and generating a control signal to effect operation of the valve in accordance with the operating characteristic.

Fuel injection control of an engine is executed by setting a required injection amount and an air-fuel ratio correction amount. When setting conditions are met, the air-fuel ratio correction amount is set for a corresponding region to which a current intake air amount or load ratio belongs among a plurality of regions into which the range of the intake air amount or the load ratio is divided such that a region of a larger intake air amount or a higher load ratio becomes wider than a region of a smaller intake air amount or a lower load ratio. When purge conditions are met, a purge control valve is controlled such that purge of supplying an evaporated fuel gas to an intake pipe is executed based on a required purge ratio.

In the present invention, a clogging rate is calculated using a first flow rate function when the degree of clogging of the throttle valve is in the reference state and a second flow rate function estimated based on the intake air volume. For each predetermined period, sample points, which are combinations of the second flow rate function and throttle valve position, are obtained, and the learning points are calculated by averaging a plurality of sample points for each predetermined position range. Based on the plurality of learning points, coefficients a to c of the approximate function of the second flow rate function characteristic are calculated by the least-squares method, and the clogging rate is calculated based on the second flow rate function characteristic and the first flow rate function approximated by the approximate function using the coefficients a to c.

A method of controlling an electronically controllable valve of an engine includes receiving, from one or more operation sensors, operation data including sensor data corresponding to a condition of the engine, control inputs indicative of operation of equipment that includes the engine, or a combination thereof. The method includes determining, using a trained valve control model, an operating characteristic of the valve at least partially based on the operation data, and generating a control signal to effect operation of the valve in accordance with the operating characteristic.

A knocking sensor detecting vibration of an engine body and a pressure sensor detecting a pressure of a combustion chamber are provided. A value representing the knocking strength is acquired from output values of the pressure sensor. Weights of a neural network are learned using a value representing the vibration of the engine body detected by the knocking sensor as an input value of the neural network and using the acquired value representing the knocking strength as training data. The value representing the knocking strength is estimated from the output values of the knocking sensor by using the learned neural network.

A control device includes a drive unit configured to supply electric power to a fuel injection valve to perform valve open drive to supply fuel to a combustion chamber of an internal combustion engine; and a correction unit configured to correct a fuel injection amount of the fuel injection valve. The correction unit is configured to learn the fuel injection amount of the fuel injection valve when NOx purge is performed to reduce and purify the NOx occlusion catalyst.

A combustion control method and system for an engine of a vehicle comprises a controller configured to access a trained feedforward artificial neural network configured to model a volumetric efficiency (VE) of the engine based on measured engine speed, engine intake manifold absolute pressure, intake and exhaust camshaft positions, intake air temperature, and engine coolant temperature, generate a base VE of the engine using the trained feedforward artificial neural network and the measured parameters, estimate an air charge mass flowing to each cylinder of the engine based on the base VE of the engine, and control combustion in the cylinders of the engine based on the estimated air charge mass to improve at least one of combustion stability, torque response, and fuel economy.