A method of generating vehicle control data is provided. The method is executed using a processor and a storage device and includes: storing first data that prescribe a relationship between a state of a vehicle and an action variable that indicates an action related to an operation of an electronic device; acquiring a detection value from a sensor that detects the state of the vehicle; operating the electronic device; calculating a reward, on the basis of the acquired detection value; in a case where a predetermined condition is met, updating the first data using, as inputs to update mapping determined in advance, the state of the vehicle, a value of the action variable, and the reward; and in a case where the state of the vehicle does not meet the predetermined condition, obtaining second data by adapting the relationship between the state of the vehicle and the action variable.

A method for a model-based open-loop and closed-loop control of an internal combustion engine includes the steps of: determining, via a combustion model, injection system setpoint values for controlling injection system actuators, according to a setpoint torque; adapting, during an operation of the internal combustion engine, the combustion model according to a model value, the model value being calculated from a first Gaussian process model for representing a base grid and a second Gaussian process model for representing adaptation data points; determining, by an optimizer, a minimized measure of quality by changing the injection system setpoint values within a prediction horizon, and, in an event that the minimized measure of quality is found, the injection system setpoint values are set as critical for adjusting an operating point of the internal combustion engine; and monitoring the model value in respect of a monotony which is predefined.

An engine test method that causes a computer to execute a process including, acquiring, by a processer on the computer, a first test pattern in which an operation variable that is used for an engine test is changed in time series, inputting, based on the first test pattern, a first operation variable to a mathematical model that represents a time series response of an engine obtained by inputting a test pattern as a simulation of the engine test, monitoring, as a first monitoring parameter of engine abnormality, at least one of an air excess ratio, pressure and temperature of an intake manifold, pressure and temperature of an exhaust manifold, and a maximum cylinder pressure rise rate that are obtained by inputting the first operation variable to the mathematical model, holding, when the first monitoring parameter exceeds a first threshold value, the first operation variable until the first monitoring parameter is less than the first threshold value, creating, a history of the first operation variable in the simulation as a second test pattern, monitoring, as a second monitoring parameter, at least one of the air excess ratio, the pressure and the temperature of the intake manifold, the pressure and the temperature of the exhaust manifold, and the maximum cylinder pressure rise rate that are obtained by inputting a second operation variable to a real engine based on the second test pattern, holding, when the second monitoring parameter exceeds a second threshold value, the second operation variable until the second monitoring parameter is less than the second threshold value, and acquiring, time series data of the second operation variable and a controlled variable.

The present invention relates to a universal powertrain for controlling an effort request and/or a flow request to a powertrain based on a demanded effort or demanded flow for the powertrain. The universal controller includes a configurable powertrain model and a configurable optimiser module. The universal controller is configurable to control a class of generic powertrains comprising J generic power sources, K generic power sinks, and L generic couplings. The universal controller is arranged to receive an input file of a plurality of input parameters to configure the universal controller to control a specific powertrain having a powertrain architecture with N power sources, M power sinks, and X couplings, the configurable powertrain model comprising: (a) a generic powertrain component library configured to provide a model of each of the N power sources, M power sinks and X couplings of the specific powertrain, and (b) a connection parameter module configured to define a model architecture of the N power source models, M power sink models and X coupling models which is representative of the powertrain architecture based on flow weight parameters and effort weight parameters of the input file, the configurable optimiser module comprising: a generic performance objective function library comprising a plurality of configurable performance objective functions from which a cost function is configurable based on input parameters of the input file, wherein the configurable optimiser module is configurable to calculate at least one of an optimised effort request or an optimised flow request for each of the N power sources of the specific powertrain based on: the cost function, the powertrain model of the specific powertrain, the demanded effort request of demanded flow request.

An ECU has a fuel pressure sensor that detects fuel pressure inside of a common rail. The ECU detects the fuel pressure at a predetermined frequency and calculates a drop amount of the fuel pressure in accordance with fuel injection by fuel injectors based on the detected fuel pressure. The ECU acquires a fluctuation amount of a fuel injection amount of each of the fuel injectors based on the drop amount of the fuel pressure and learns an injection characteristic of each of the fuel injectors, the injection characteristic indicating a correlation between the fuel injection amount and the fluctuation amount of the fuel injection. In a case in which a detection timing of the fuel pressure is within a fuel injection period of a predetermined fuel injector, the ECU disallows the learning of the injection characteristic using the fuel pressure detected in the fuel injection period.

Systems, apparatus, and methods are disclosed that include an internal combustion engine having a plurality of cylinders operable by a valve actuation mechanism. A cylinder deactivation operation is modified in response to determining a cyclical operation mode of the engine.

A method determines an inflection point OP of a parameter profile i, n which is representative of a component tolerance and a state of wear of a fuel pump. The fuel pump is provided for a fuel supply system for use in a device equipped with an internal combustion engine. The device being a passenger car, utility vehicle and/or a stationary or mobile power generator.

Systems, apparatus, and methods are disclosed that include an internal combustion engine having a plurality of cylinders operable by a valve actuation mechanism. A cylinder deactivation operation is modified in response to determining a cyclical operation mode of the engine.

An actuator is energized to cause a valve body of a fuel injection valve to perform fuel injection. The actuator includes a driving body to drive to open and close the valve body. Boundary energization is performed that ends energization of the actuator at a timing when the driving body is moved in an opening direction of the valve body and is assumed to have reached an end of its movement range to measure a relationship between the energization time until the energization ends and the fuel injection amount. A correspondence relationship between the energization time of the actuator and the fuel injection amount is determined by using the measured relationship. An energization time corresponding to a target injection amount is obtained with reference to the determined correspondence relationship. The actuator is energized to cause the fuel injection valve to perform fuel injection.

Disclosed is an industrial vehicle work guide system. An industrial vehicle work guide system according to an embodiment of the present invention includes: a memory configured to store engine used data, a driving time, a fuel consumption amount, and reference fuel efficiency; a display module configured to output a guide message; and an analysis module configured to calculate actual fuel efficiency by using the engine used data, the driving time, and the fuel consumption amount, compare the actual fuel efficiency with the reference fuel efficiency, and control the display module so that the display module outputs a guide message when the actual fuel efficiency is lower than the reference fuel efficiency.