Methods and systems for calculating a plurality of aging factors in a system operating an engine. The calculated aging factors may include one or more of fuel injector drift, exhaust gas recirculation valve obstruction, and mass air flow sensor bias. Mass flow throughout the system, and pressures and temperatures within the system, are observed in an approach that relies on mass preservation concepts to estimate drift, obstruction and bias estimates.

In accordance with exemplary embodiments, methods and systems are provided for controlling fuel injection by a fuel injector of a direct injection engine. In one embodiment, a method includes: storing, in a first data storage device, a first table of values; storing, in a second data storage device, a second table of values; and adjusting, via instructions provided by a processor of the vehicle, a minimum mass value used to control the fuel injection based on an injector learned value, the first table, and the second table, wherein the injector learned value is set based on an amount of injector learning completed.

The invention concerns a method for controlling regeneration of an exhaust gas aftertreatment system (7, 8) of an internal combustion engine (4) arranged on a vehicle (1), wherein the vehicle (1) is provided with a control system configured to control the regeneration in at least a first regeneration strategy mode comprising a first set of predetermined actions to be taken for controlling initialization and performance of regeneration processes. The method comprises the steps of: (100)—adapting the control system so as to be configured to alternatively control the regeneration in a second regeneration strategy mode, wherein the second regeneration strategy mode comprises a second set of predetermined actions to be taken for controlling initialization and performance of regeneration processes, and wherein the first and second regeneration strategy modes differ from each other in that the first and second set of predetermined regeneration control actions differ from each other; (200)—collecting, during operation of said vehicle (1) or of another vehicle, data on an exhaust gas regeneration capability of said vehicle (1) or the other vehicle as a function of time; and (300)—evaluating, based on the collected data and the difference between the first and second regeneration strategy modes, whether the first or the second regeneration strategy mode is the most suitable for said vehicle (1) if operating under conditions corresponding to the operational conditions for the vehicle for which data were collected. The invention also concerns a vehicle arranged to be the subject of such a method and to a computer program product, a computer readable medium and a control system related to performance of the steps of the above method.

An internal combustion engine controller for controlling an internal combustion engine is provided. The internal combustion engine controller comprises a memory and a processor. The memory is configured to store a plurality of control maps, each control map defining a hypersurface of actuator setpoints for controlling an actuator of the internal combustion engine based on a plurality of input variables to the internal combustion engine controller. The processor comprises an engine setpoint module and a map updating module. The map updating module is configured to optimise one or more of the hypersurfaces of the control maps at the location defined by the plurality of input variables. The map updating module comprises an optimiser module configured to search for an optimised group of actuator setpoints wherein the map updating module updates the one or more hypersurfaces at the location defined by the plurality of input variables based on the optimised group of actuator setpoints. A method of controlling an internal combustion engine is also provided.

A method of controlling an electronically controllable valve of an engine includes receiving, from one or more operation sensors, operation data including sensor data corresponding to a condition of the engine, control inputs indicative of operation of equipment that includes the engine, or a combination thereof. The method includes determining, using a trained valve control model, an operating characteristic of the valve at least partially based on the operation data, and generating a control signal to effect operation of the valve in accordance with the operating characteristic.

In the present invention, a clogging rate is calculated using a first flow rate function when the degree of clogging of the throttle valve is in the reference state and a second flow rate function estimated based on the intake air volume. For each predetermined period, sample points, which are combinations of the second flow rate function and throttle valve position, are obtained, and the learning points are calculated by averaging a plurality of sample points for each predetermined position range. Based on the plurality of learning points, coefficients a to c of the approximate function of the second flow rate function characteristic are calculated by the least-squares method, and the clogging rate is calculated based on the second flow rate function characteristic and the first flow rate function approximated by the approximate function using the coefficients a to c.

Methods and systems for calculating a plurality of aging factors in a system operating an engine. The calculated aging factors may include one or more of fuel injector drift, exhaust gas recirculation valve obstruction, and mass air flow sensor bias. Mass flow throughout the system, and pressures and temperatures within the system, are observed in an approach that relies on mass preservation concepts to estimate drift, obstruction and bias estimates.

A system and method for the use of machine learning for detecting faults for cylinder intake and/or exhaust valves that do not properly open or close as commanded and for generating a flag for such faults.

A method of generating an ROI profile for a fuel injector using machine learning and a constrained/limited training data set is disclosed. The method includes receiving a first plurality of measurement sets for a fuel injector when operating at a first target set point. Preferably, at least two measurement sets of the first plurality of measurement sets are selected to generate a first averaged ROI profile for the first target condition. The at least two selected measurement sets are then used to train a machine learning model that can output a predicted ROI profile for a fuel injector based on a desired pressure value and/or desired mass flow rate value. Training of the machine learning model preferably includes a predetermined number of iterations that induces overfitting within the model/neural network.

A method of controlling an electronically controllable valve of an engine includes receiving, from one or more operation sensors, operation data including sensor data corresponding to a condition of the engine, control inputs indicative of operation of equipment that includes the engine, or a combination thereof. The method includes determining, using a trained valve control model, an operating characteristic of the valve at least partially based on the operation data, and generating a control signal to effect operation of the valve in accordance with the operating characteristic.