Electronic fuel injection control system for an internal combustion engine, the internal combustion engine being equipped with at least one fuel feeding line provided with a fuel tank, at least one throttle valve, at least one injector, at least one fuel pump, at least one fuel return line having at least one solenoid valve, at least one first fuel return duct that connects the injector to the solenoid valve, at least one overpressure valve, at least one second return conduit adapted to connect the overpressure valve and the solenoid valve with the tank, wherein the fuel return line is provided with at least one calibrator allowing at least the state of said fuel pump and relative performances thereof to be verified.

An internal combustion engine condition determination apparatus includes a storage device; and an execution device. The storage device stores mapping data that defines a mapping. The execution device is configured to execute an acquisition process of acquiring an internal combustion engine state variable every time a crankshaft of an internal combustion engine rotates by a predetermined angle, and a determination process of determining a condition of the internal combustion engine based on an output obtained through the mapping using the internal combustion engine state variable as an input. The mapping data is trained by machine learning. The execution device is configured to prohibit the determination process when a rotation speed of the crankshaft is equal to or higher than a predetermined threshold.

A vehicle control data generation method includes causing processing circuitry to execute an obtaining process that obtains a state of a vehicle and a specifying variable, an operating process that operates an electronic device, a reward calculating process that provides a greater reward when a characteristic of the vehicle meets a standard than when the characteristic does not meet the standard, and an updating process that updates relationship defining data. The update map outputs the updated relationship defining data. The reward calculating process includes a changing process that changes the reward, provided when the characteristic of the vehicle is a predetermined characteristic, such that the reward in a case where torque generated by an internal combustion engine is used to generate the propelling force of the vehicle differs from the reward in a case where the torque is not used to generate the propelling force.

Methods and systems for controlling a system such as an engine having an airflow system. A model predictive control calculation is configured in an off-line mode, having a linear part and a non-linear part. In an on-line mode, the linear part of the MPC and/or a Hessian matrix used with the MPC is modified responsive to special modes or other operating changes or conditions. The online mode is configured to respond to changing modes or conditions without requiring recalculation of the MPC. Certain changes of conditions and modes are used to modify feedforward, while others modify responsiveness.

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 system comprising a distribution grid (2) for a fuel, combustion engines (3), which are coupled with the distribution grid (2) and are configured to combust the fuel, and a computer system (4) comprising data connections (5) to the combustion engines (3) and a data storage device (6), wherein the computer system (4) is configured to receive engine operation parameters stemming from an operation of the combustion engines (3) at a first time and/or during a first time period via the data connections (5) and geographical data of the combustion engines (3) are stored in the data storage device (6), wherein the computer system (4) has a processor (7) which is configured to compute a prediction for at least one characteristic parameter of the fuel at a second time and/or during a second time period later than the first time and/or the first time period and with respect to a geographical location, and the computation of the prediction being based on the geographical data and the engine operation parameters of the combustion engines (3).

An imbalance detection device is provided. An obtainment process includes obtaining a rotation waveform variable based on a detection value of a sensor that detects a rotational behavior of a crankshaft, and an air-fuel ratio detection variable in each of a plurality of first intervals. A calculation process includes calculating an imbalance variable based on an output of a mapping having a value obtained by the obtainment process as an input. The imbalance variable indicates a degree of variations in an air-fuel ratio of the internal combustion engine. The rotation waveform variable indicates a difference between instantaneous speed variables that are variables corresponding to the rotational speed of the crankshaft in each of the second intervals.

A controller includes a memory device and an execution device, which executes an operation of an operated unit of an internal combustion engine. The execution device includes a first operation process that operates the operated unit by an operated amount, which is calculated on the basis of a state of a vehicle, using an adapted data set, a second operation process that operates the operated unit by an operated amount that is defined by a relationship defining data set and the state of the vehicle, and a switching process that switches the operation of the operated unit between an operation by the first operation process and an operation by the second operation process, depending on whether the vehicle is performing a manual acceleration travel or an automatic acceleration travel.

A variable geometry turbine (VGT) comprising an intake channel, a rotor, an adjustable nozzle, a nozzle actuator, and a controller. The controller comprises a calibration routine, arranged for calibrating the VGT during normal operation thereof. In the calibration routine, the controller is arranged for performing the steps of: adjusting the adjustable nozzle from an initial position towards a closed position, while monitoring a pre-turbine pressure; detecting a deflection point position of the adjustable nozzle at which a sharp difference in the pre-turbine pressure occurs; and adjusting a minimum cross sectional area in the closed position, to adjust a working range of the VGT in dependence of varying operating conditions, wherein the working range excludes the detected deflection point position.

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.