Patent classifications
F02D2041/1433
Intelligent Mass Air Flow (MAF) Prediction System with Neural Network
The Method and Apparatus of Predicting MAF Sensor Information includes training multiple candidate Artificial Neural Network (ANN) architectures using training data, and then selecting an ANN architecture from the candidates using an automated ANN architecture selection algorithm and testing data. An intelligent engine intake MAF prediction or estimation system using the selected ANN architecture then provides an engine intake Mass Air Flow (MAF) output variable, which is used along with the output of a hot-wire type engine intake MAF sensor. The system is deployed into the engine controller. The training and testing sets of data include input variables from engine sensors and/or actuators that relate to engine intake MAF, and may be acquired by testing a target engine. Selecting the optimal ANN architecture may be based on Root Mean Squared Error (RMSE) analysis using the automated ANN architecture algorithm and the training set of data.
ENGINE SYSTEM WITH FUEL SYSTEM CONTROL ARRANGEMENT AND METHOD FOR CONTROLLING FUEL INJECTION IN AN INTERNAL COMBUSTION ENGINE
An engine system including a fuel system control arrangement includes an internal combustion engine including an exhaust line, one or more cylinders, and one or more fuel injectors corresponding to the one or more cylinders, means for determining fresh air mass flow into an intake to the engine, a nitrogen oxide (NOx) sensor in the exhaust line, and a controller configured to determine oxygen (O2) in exhaust gas based on a signal from the NOx sensor and to calculate a current fuel injection quantity based on the O2 in the exhaust gas and determined fresh air mass flow into the intake, to compare the current fuel injection quantity to a theoretical fuel injection quantity under current operating conditions, and to adjust an amount of fuel injection from the one or more fuel injectors when the current fuel injection quantity differs from the theoretical fuel injection quantity to make the current fuel injection quantity closer to the theoretical fuel injection quantity.
Method for determining a camshaft position in an internal combustion engine
A method for determining a combination of an actual intake camshaft phase position of an intake camshaft and an actual exhaust camshaft phase position of an exhaust camshaft of a production internal combustion engine having at least one cylinder, wherein the method is performed in operation of the production internal combustion engine and the relevant actual phase position of the camshafts is determined in relation to an operating point of the production internal combustion engine.
Method for setting a throttle valve, engine control unit, and a vehicle
A method for setting a throttle valve that includes feedback control of a throttle position of the throttle valve in the entire operating range of an internal combustion engine, wherein the feedback control is based on an internal model control principle.
Engine intake air and exhaust control system
In one aspect, a method for controlling an internal combustion engine system including an exhaust gas recirculation (EGR) valve and a variable-geometry turbocharger (VGT) having a compressor and a turbine includes receiving a plurality of requests for the internal combustion engine system. The method also includes predicting a plurality of expected states of the internal combustion engine system based on the plurality of requests and generating sets of candidate control points for actuating the EGR valve and the VGT based on the plurality of expected states. The method further includes selecting a set of candidate control points that avoids a surge condition of the compressor and based on the selected set of candidate control points, generating commands for actuating the EGR valve and the VGT.
Adaptive high pressure fuel pump system and method for predicting pumped mass
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.
Method for controlling and limiting a speed of a turbocharger
A method for controlling a speed of a turbocharger that is in operative connection with a compressor, the steps including: provision of a setpoint for the speed of the turbocharger on the basis of a model-based precontrol for a calculation of a desired boost pressure ahead of the turbocharger; determination of an actual value for the speed of the turbocharger; control of an actuator of the turbocharger in order to compensate for the difference between the desired value and the actual value for the speed of the turbocharger. A main signal and a subsidiary signal are provided during the determination of the actual value for the speed of the turbocharger, wherein the main signal and the subsidiary signal are combined in order to validate the actual value for the speed of the turbocharger.
METHOD FOR THE MODEL-BASED OPEN-LOOP AND CLOSED-LOOP CONTROL OF AN INTERNAL COMBUSTION ENGINE
A method for a model-based open-loop and closed-loop control of an internal combustion engine includes the steps of: calculating, by an optimizer, a pre-optimized quality measure based on an operating situation, wherein, in calculating the pre-optimized quality measure, a plurality of discrete manipulated variables having a plurality of discrete settings are interpreted as a plurality of continuous manipulated variables having a continuous settings range; quantizing the plurality of continuous manipulated variables, and the plurality of continuous manipulated variables are set as a plurality of new discrete manipulated variables (SG(new)) having a plurality of discrete settings; and calculating, by the optimizer, a post-optimized quality measure based on the plurality of new discrete manipulated variables and the operating situation of the internal combustion engine, and the post-optimized quality measure is set as critical for an operating point of the internal combustion engine by the optimizer.
METHOD AND DEVICE FOR CONTROLLING FUEL INJECTION TO ENGINE
A method for controlling fuel injection to an engine may include calculating an amount of air passing through a throttle, which is actually controlled, from a calculated amount of air in an intake manifold, which is calculated from a pressure value detected by a pressure sensor installed in the intake manifold connecting the throttle and a cylinder to each other, and a calculated pressure change in the intake manifold. The method may further include predicting an actual amount of air to be sucked into the cylinder when mixed with fuel from the calculated amount of air in the intake manifold and the calculated amount of air passing through the throttle. The method may also include injecting an amount of fuel according to the predicted actual amount of air to be sucked into the cylinder.
SYSTEMS AND METHODS FOR RESCALING EXECUTABLE SIMULATION MODELS
Systems and methods automatically rescale an original electric motor model so that it models an electric motor of a different size. The original electric motor model may be coupled to a motor controller model, and the systems and methods may also rescale the original motor controller model to produce a rescaled motor controller model matched to the rescaled electric motor model. The original electric motor model may include motor parameters and motor lookup tables, and the original motor controller model may include controller parameters and controller lookup tables. Rescaling factors indicating the size of the new electric motor being modeled may be received, and ratios may be computed as a function of the rescaling factors. Original motor parameters and controller parameters may be rescaled based on the ratios. Original motor lookup tables and controller lookup tables may be reshaped based on the ratios.