A control system includes a controller. The controller counts the number of driving times of a high pressure fuel pump, which is the number of reciprocating motions of a plunger based on a crank counter. The controller estimates a high pressure system fuel pressure based on the calculated number of driving times, a fuel temperature detected by a fuel temperature sensor, and a low pressure system fuel pressure detected by a low pressure system fuel pressure sensor when the high pressure system fuel pressure is not able to be acquired from a high pressure system fuel pressure sensor. The controller sets an opening period of an in-cylinder fuel injection valve based on the estimated high pressure system fuel pressure and to perform an engine start by an in-cylinder fuel injection when the high pressure system fuel pressure is not able to be acquired from the high pressure system fuel pressure sensor.

A CPU calculates probability models by inputting input variables to a neural network. Next, the CPU determines whether a maximum value among the calculated probability models is larger than an upper limit value of a permissible range. When the maximum value is larger than the upper limit value of the permissible range, the CPU calculates a difference between the maximum value and a first reference value within the permissible range, and subtracts the difference from all the probability models. Then, the CPU calculates a probability of misfire in each cylinder by inputting each of the calculated probability models to a softmax function of mapping.

Provided is a fuel injection control device that makes it possible to precisely estimate an amount of fuel remaining in an air intake passage at a start-up of an engine, and to precisely set an fuel injection amount during start-up operation. In the fuel injection control device of the present invention, in a process in which the engine is transferred from operation state to a stop state, engine stop information is acquired and stored in a nonvolatile memory, the engine stop information including, at least an information indicating whether the current engine stop is an intended stop accompanied by fuel cutting. During the start-up of the engine, judgement is made as to whether the last engine stop was the intended stop or not, based upon the engine stop information and a fuel injection amount during start-up operation is determined with reference to the result of the judgement.

A fuel injection control device and a fuel injection control method for an internal combustion engine according to the present invention correct a basic pulse width by a cylinder-specific correction value that is based on injection variations among fuel injection valves to specify a cylinder-specific pulse width, determine whether or not a split number is acceptable based on a minimum pulse width and a pulse width per one injection calculated from the cylinder-specific pulse width and the split number to modify the split number based on a result of the acceptance determination, modify an acceptance determination reference value which is used in the acceptance determination based on the correction value for each cylinder, and execute split injection based on the split number, the basic pulse width, and the correction value for each cylinder.

A control device mounted in a vehicle in which at least one controlled part is controlled based on an output parameter obtained by inputting input parameters to a learned model using a neural network, provided with a parked period predicting part predicting future parked periods of the vehicle and a learning plan preparing part preparing a learning plan for performing relearning of the learned model during the future parked periods based on results of prediction of the future parked periods.

An electronic control unit for a vehicle with a combustion engine and a method of fuel analysis are provided. At least one dynamic torque sensor value from a high pressure pump of the vehicle and at least one additional sensor value including at least one pressure sensor value and/or at least one timing value are used to determine whether a combustible fuel type currently in use is known, unknown, or similar to a known fuel type. In each case, the operation of the combustion engine is optimized using specific parameter configurations for the fuel injectors of the vehicle. The specific parameter configurations are either retrieved from a database, or are generated using artificial intelligence methods.

Methods and systems are provided for controlling fuel injectors of an engine. In one example, a system for an engine includes a fuel injector couplable to at least one engine cylinder; and a controller operatively couplable to the fuel injector. The controller is configured to during a first engine cycle, control injection of both a primary pulse of fuel and a pilot pulse of fuel into the at least one engine cylinder via the fuel injector, determining, for the at least one engine cylinder, an amount of adjustment to the primary pulse of fuel, the pilot pulse of fuel, or both the primary and the pilot pulse, and during a second engine cycle, following the first engine cycle, adjusting an amount of the primary pulse of fuel, the pilot pulse of fuel, or both based at least in part on the first response to the pilot pulse of fuel.

A control device serving as a torque estimation device includes a storage device and a processing circuit. The storage device stores data of a trained neural network. The trained neural network is trained using training data including data of an actually-measured torque that is measured, data of an accelerator operation amount in a period of a predetermined length up to a time point of measurement of the actually-measured torque, and data of an acceleration of a vehicle from the time point of measurement of the actually-measured torque onward. The processing circuit inputs, to the trained neural network stored in the storage device, input data including the data of the accelerator operation amount and the data of the acceleration of the vehicle, to estimate a torque generated in a power transmission member.

To keep catalyst purification efficiency high and prevent deterioration of emission performance. Therefore, an internal combustion engine control device according to an aspect of the present invention includes: an oxygen storage ratio calculation unit that calculates an oxygen storage ratio of a catalyst based on a catalytic reaction model having at least a detection value of a first exhaust gas sensor disposed on an upstream side of the catalyst as an input; a statistical model calculation unit that predicts a catalyst downstream exhaust gas concentration using a statistical model having an oxygen storage ratio as an input and a catalyst downstream exhaust gas concentration as an output; and an air-fuel ratio correction amount calculation unit that calculates an air-fuel ratio correction amount of an air-fuel mixture of an internal combustion engine based on a future catalyst downstream exhaust gas concentration calculated by the statistical model calculation unit.

An ECU includes a cooling water temperature sensor, an intake air temperature sensor, a storage unit, a determination unit, and a calibration unit. In an after-run control performed after the internal combustion engine stops, the determination unit compares a cooling water temperature Tw detected by the cooling water temperature sensor with a first threshold value T1 and determines that the environment is not the cold environment in which an EGR differential pressure sensor is likely to be frozen, if the cooling water temperature Tw is equal to or higher than the first threshold value T1, or if the cooling water temperature Tw is less than the first threshold value T1 but is equal to or higher than a second threshold value T2 which is lower than the first threshold value T1 and an intake air temperature Ta from the intake air temperature sensor is equal to or higher than a third threshold value T3, and determines that the environment is the cold environment otherwise. When the environment is determined as not to be the cold environment, the calibration unit obtains a calibration reference value based on the detection value from the EGR differential pressure sensor. The storage unit stores the calibration reference value obtained by the calibration unit.