Systems, methods, and computer-readable storage media for emulating a turbocharger speed sensor of a turbocharger in an engine. A processor executing the method can receive data from a plurality of sensors in the engine, wherein the data includes: an exhaust manifold pressure of the engine; an exhaust mass flow of the engine; and an injection angle of fuel in the engine. The processor enters the data as inputs into an artificial neural network, where the artificial neural network is trained to receive the inputs and output a speed of the turbocharger of the engine, then receives an output from the artificial neural network which is the speed of the turbocharger.

A method of calibrating a control system based on a parametric value of a component. The method includes receiving a current from a component of the control system. The component is communicatively coupled to a controller and has a parametric resistor with a parametric resistance value correlating to a parametric value associated with the component. The method further includes determining the resistance value of the parametric resistor by measuring a parametric voltage rating from the current. The method further includes mapping the resistance value to the parametric value associated with the component. The method further includes generating a calibration data set. The calibration data set is based on calibrating the control system to calibrate for the parametric value. The method further includes transmitting a signal to the component. The signal is based on the calibration data set and is configured to calibrate operation of the component.

The system is provided to calibrate the ECU of the vehicle. The system comprises a remote computer, a central server, a local computer and setup comprising at least a dynamo meter, and at least one actuator. The dynamo meter and the actuator are interfaced and operated with the local computer. The central server is connected to the local computer by a second networking means, and a remote computer is connected to the central server by a first networking means. The remote computer, uploads instructions to the central server, executes the instructions through the local computer to operate the dynamo meter and the actuator, and calibrates the ECU of the vehicle. The instructions are downloaded to the local computer by the second networking means.

A method for determining a characteristic variable for opening and/or closing a flow-through opening of a solenoid valve, in which solenoid valve a solenoid coil is energized to raise an armature to open the flow-through opening for a fluid. During operation of the solenoid valve, a profile of a current in the solenoid coil being determined, and using a pattern recognition method based on artificial intelligence, the characteristic variable(s) is/are determined based on at least one section of the profile or a profile derived therefrom using a neural network. A method for applying and for training a pattern recognition method based on artificial intelligence are also described.

A system includes an electronic fuel injection system of an engine, the electronic fuel injection system including an electronic governor control unit for controlling various functions of the engine.

This disclosure relates to a method of controlling an engine and more particularly for controlling the transition between operating modes of an internal combustion engine such as between an economy mode and a performance mode. The method comprising the steps of determining a current fuel-air ratio at which the engine is operating and comparing it with a predetermined fuel-air ratio limit. The time duration for which the current fuel air-ratio is below the fuel-air ratio limit is determined and compared with a predetermined waiting time threshold value. A count is triggered, which is based on a difference between the current fuel-air ratio and the fuel-air ratio limit when the engine is operating at a current fuel-air ratio which is below the fuel-air ratio limit and this is compared with an intensity threshold value. The operating mode is shifted from the performance mode to the economy mode when both the time duration and the count exceed the waiting time threshold value and the intensity threshold value respectively. The operating mode is automatically shifted back to the performance mode when the current fuel-air ratio reaches or exceeds the fuel ratio limit. The method alternatively comprises using the air-fuel ratio, instead of the fuel-air ratio, and the switch from performance mode to economy mode only occurs when the current air-fuel is above a predetermined air-fuel limit and it remains above the predetermined air-fuel limit until two other predetermined thresholds have been reached.

A catalyst degradation detection apparatus includes an air-fuel ratio detector disposed downstream of a catalyst and configured to detect an air-fuel ratio of exhaust gas flowing out from the catalyst, and an electronic control unit configured to control an air-fuel ratio of inflow exhaust gas flowing into the catalyst and determine whether the catalyst is degraded. The electronic control unit is configured to execute degradation determination control that brings the air-fuel ratio of the inflow exhaust gas to an air-fuel ratio leaner or richer than a stoichiometric air-fuel ratio. The electronic control unit is configured to determine whether precious metal of the catalyst is degraded based on the air-fuel ratio detected by the air-fuel ratio detector when an oxygen storage amount of the catalyst is varying in the degradation determination control.

A method of adaptively predicting, during operation of a pump, a mass of fuel pumped by the pump during a pumping event to a fuel accumulator (“Q.sub.pump”) to control operation of the pump is provided, comprising: generating an adaptive model of operation of the pump, including estimating a start of pumping (“SOP”) position of a plunger of the pump, estimating Q.sub.pump, determining a converged value of the estimated SOP position, and determining a converged value of the estimated Q.sub.pump; using the adaptive model to predict Q.sub.pump by inputting to the model the converged value of the estimated SOP position, a measured pressure of fuel in the fuel accumulator and a measured temperature of fuel in the fuel accumulator; and controlling operation of the pump in response to the predicted Q.sub.pump.

A method for diagnosing fuel leakage of a vehicle includes: measuring a pressure of a fuel tank by a pressure sensor in a closed state of a fuel system during starting-off of the vehicle; measuring an inner temperature of the fuel tank by a temperature sensor; and diagnosing, by a controller, whether or not leakage occurs by performing different leakage diagnoses depending on a pressure condition of the fuel tank. Thus, the controller performs a first leakage diagnosis when a pressure value of the fuel tank, measured in the measuring the pressure of the fuel tank, is within an atmospheric pressure level; performs a second leakage diagnosis when the pressure value is higher than a positive pressure; and performs a third leakage diagnosis when the pressure value is lower than a negative pressure.

A method of controlling an engine system includes controlling a fuel injector to perform a zero-fueling injector operation during operation of the engine, the zero-fueling injector operation including a non-zero injector on-time resulting in zero fueling by the injector, determining an injection system pressure change associated with the zero-fueling injector operation, modifying at least one fuel injection control parameter in response to the injection system pressure change, and using the modified fuel injection control parameter to control injection of fuel by the fuel injector during operation of the engine.