A vehicle includes an engine, a second MG for running, a battery that supplies and receives electric power to and from the second MG, and an ECU. The ECU is configured to control the engine and the second MG and to execute intake air amount learning. When the SOC of the battery exceeds a second threshold value that is higher than a first threshold value while the vehicle is running using the second MG with the engine in a stopped state, the ECU maintains the engine in the stopped state and maintains the second MG in a driven state, and then does not execute the intake air amount learning. When the SOC of the battery takes a value between the first threshold value and the second threshold value, the ECU starts the engine, drives the second MG with constant torque, and executes the intake air amount learning.

A method of continuously variable valve duration (CVVD) location learning may include when a controller determines necessity of position learning for short duration and long duration of a CVVD system, performing conditional application re-learning control in which the position learning is performed in a situation in which validity determination of system environment condition for CVVD hardware and validity determination of vehicle environment condition for engine operation information of an engine are satisfied.

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 method for sensing a closing time of an injector using an artificial neural network may include: sensing, by a controller, a voltage generated by an injector; performing, by the controller, a preprocess to derive an input matrix using variation characteristics of the voltage; and performing, by the controller, a closing time prediction to derive a closing time of the injector by an artificial neural network model including an input layer including the input matrix, a hidden layer, and an output layer.

A method of controlling engine torque according to transmission hydraulic pressure is performed by an engine torque control system of a vehicle. The method includes connecting an engine torque converter to an engine and an automatic transmission of the vehicle, calculating a required turbine torque after confirming an engine torque control condition, deriving and storing a value of turbine torque factor learning through turbine torque factor learning according to shift type and shift time, converting the stored value of turbine torque factor learning into an engine torque control value, and requesting the engine torque control value to be applied to engine output, by an engine torque controller during shifting of the automatic transmission, so that a new turbine torque calculation is performed through a hydraulic pressure reference at the beginning of physical shifting, thereby preventing a shift shock and transmission damage caused by unreasonably excessive or insufficient engine torque.

When a purge valve opens, a CPU calculates a purge concentration learning value based on an air-fuel ratio detected by an air-fuel ratio sensor. Additionally, under the condition that a temperature increase request of a three-way catalyst is generated, the CPU performs dither control that sets one of a plurality of cylinders as a rich combustion cylinder, which is richer than a theoretical air-fuel ratio, and the remaining cylinders as lean combustion cylinders, which are leaner than the theoretical air-fuel ratio. When the dither control is performed, the CPU forbids the update of the purge concentration learning value.

An internal combustion engine (1) has a variable compression ratio mechanism (2) that varies a mechanical compression ratio and a variable valve timing mechanism (7) that varies a valve timing of an intake valve (4). When there is a demand to execute reference position learning (step 21) for system calibration of the variable valve timing mechanism (7), the execution of the reference position learning is permitted on the condition that the mechanical compression ratio is higher than a threshold value VCRth (step 22). When any anomaly is present in the variable compression ratio mechanism (2), the reference position learning of the variable valve timing mechanism (7) is prohibited (steps 23 and 25).

A method for generating vehicle controlling data includes executing an operating process that operates an electronic device, executing an obtaining process that obtains a state of a vehicle, executing a reward calculation process that assigns a reward based on the state of the vehicle, and an updating process that updates relationship specifying data. The reward calculation process includes a changing process that changes a reward assigned when an area variable equals a second value and a property of the vehicle is a predetermined property from a reward assigned when the area variable equals a first value and the property of the vehicle is the predetermined property.

An internal combustion engine (1) has a variable compression ratio mechanism (2) that varies a mechanical compression ratio and a variable valve timing mechanism (7) that varies a valve timing of an intake valve (4). When there is a demand to execute reference position learning (step 21) for system calibration of the variable valve timing mechanism (7), the execution of the reference position learning is permitted on the condition that the mechanical compression ratio is higher than a threshold value VCRth (step 22). When any anomaly is present in the variable compression ratio mechanism (2), the reference position learning of the variable valve timing mechanism (7) is prohibited (steps 23 and 25).

A method for operating an internal combustion engine. The method includes: operating the internal combustion engine including a lambda regulation, which sets a fuel quantity to be supplied in accordance with a predefined setpoint lambda value, at preset times, carrying out a filter cleaning operation for a fuel tank ventilation, as a function of the presence of a release condition of the internal combustion engine, carrying out an adaptation of the lambda regulation by adapting at least one adaptation parameter as a function of operating variables of the internal combustion engine, at active filter cleaning operation and upon the presence of the release condition, operating variables which are required to carry out the adaptation of the lambda regulation being recorded, at deactivated filter cleaning operation and presence of the release condition, the adaptation of the lambda regulation being carried out as a function of the recorded operating variables.