Patent classifications
F02D41/18
Engine with control unit for lean burn operation
An internal combustion engine includes an engine block including a cylinder a piston positioned within the cylinder and configured to reciprocate in the cylinder, an electronic throttle control system comprising a motor and a throttle plate, a fuel system for supplying a controlled amount of fuel to the cylinder including a fuel injector, and an engine control unit coupled to the fuel system and the electronic throttle control system. The engine control unit is configured to determine engine speed data comprising a current engine speed, a previous engine speed, and a desired engine speed and control a fuel injection duration based on the engine speed data.
Controller and control method for internal combustion engine
A controller is configured to perform a process of obtaining an exhaust pressure upstream of a filter inside an exhaust passage and an intake air amount detected by an air flowmeter, when the filter in which a deposition amount of particulate matter is a specified amount is referred to as a reference filter, a calculation process of calculating an exhaust pressure rate that indicates a ratio of the obtained exhaust pressure to an exhaust pressure at the reference filter for the obtained intake air amount, and a setting process of setting the exhaust pressure rate that is maintained at a specific value during engine operation.
Data processing method
A data processing method of variable measurement data in an electronic control unit (ECU) is provided. The ECU that processes the data processing method calculates a filtering frequency based on a delay time frequency based on a transmission timing cycle of the measurement data and a processing timing cycle of the measurement data in the ECU, and also based on a pulsation frequency of the measurement data, and removes, from the measurement data, a component of the filtering frequency calculated in the calculation of the filtering frequency.
Engine assembly having a turbocharger
An engine assembly for a vehicle includes an engine and a turbocharger operatively connected thereto. A controller is configured to, based on at least one performance parameter associated with the vehicle, execute a pre-acceleration control sequence including: delaying ignition within the engine's cylinders to increase a temperature of exhaust gas discharged to the turbocharger and reduce a torque of the engine; deactivating at least one cylinder in a predetermined pattern to reduce the torque of the engine; actuating a throttle valve to increase air flow to the engine to (i) increase the torque of the engine, and (ii) increase a volume of exhaust gas discharged to the turbocharger; and increasing a volume of fuel injected by the fuel injectors into the cylinders so as to increase the torque of the engine thereby compensating at least in part reduction of the torque of the engine.
Techniques for transient estimation and compensation of control parameters for dedicated EGR engines
One embodiment is a system comprising an engine including a dedicated EGR cylinder configured to provide EGR to the engine via an EGR loop, a non-dedicated cylinder, a plurality of injectors, an ignition system including a plurality of spark plugs, an intake throttle, and an electronic control system. The electronic control system is configured to control combustion during transient operation of the engine by determining one or more combustion control parameters compensating for variation of one or more of inert matter, unburned air and unburned fuel in EGR output by the dedicated EGR cylinder during transient operation of the engine, and an effect of the EGR loop on inert matter, unburned air and unburned fuel provided to the plurality of cylinders, and controlling operation of at least one of the throttle, the ignition system and the plurality of injectors in response to at least one of the one or more combustion control parameters.
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.
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.
Control method of securing CVVD startability and CVVD system therefor
A control method can be used for securing continuously variable valve duration (CVVD) startability when a CVVD error is recognized by a CVVD controller during an operation of a CVVD system. The control method includes performing engine startability securing control for solving the CVVD error by applying a starting air volume to starting of an engine through at least one of a valve position fixing value, a valve position threshold, or an immediately previous valve position value.
ADAPTIVE FUEL AND CHARGE CONSUMPTION ESTIMATION IN POWERTRAIN SYSTEMS
Engine systems, vehicles and methods related to refueling in conjunction with infrastructure to vehicle communication. A vehicle or engine system may receive refueling information including a fuel quantity at a refueling event, and uses the refueling information to identify and/or eliminate measurement or modelling bias in the underlying engine system controls. The vehicle may also self-determine fuel efficiency. The vehicle may use charging data, rather than refueling data, to perform calculations of battery life, state of charge, state of health, and efficiency in electric vehicle examples.