A method for controlling an actuator system of a motor vehicle includes utilizing a model predictive control (MPC) module with an MPC solver to determine optimal positions of one or more actuators of the actuator system. The method further includes receiving a plurality of actuator system parameters, and triggering the MPC solver to generate one or more control commands from plurality of actuator system parameters. The method further includes applying a cost function to reduce a steady-state tracking error in the one or more control commands from the MPC solver and applying the one or more control commands to alter positions of the one or more actuators, and applying a penalty term to the steady-state predictions of positions of the plurality of actuators to limit a difference between a steady-state prediction of the actuator system and a solution from the MPC solver.

An injection control device of capable of correcting an energization time even in an S/N non-guaranteeable situation includes: an energization controller calculating an energization time correction amount based on an area correction performed by an energization time correction amount calculator regarding electric current flowing in a fuel injection valve when the fuel injection valve is electrically driven for injecting fuel; and an energization instruction time calculator correcting an energization instruction time for fuel injection in a next cycle and thereafter by using the energization instruction time correction amounts in or before a current cycle.

An injection control device of capable of correcting an energization time even in an S/N non-guaranteeable situation includes: an energization controller calculating an energization time correction amount based on an area correction performed by an energization time correction amount calculator regarding electric current flowing in a fuel injection valve when the fuel injection valve is electrically driven for injecting fuel; and an energization instruction time calculator correcting an energization instruction time for fuel injection in a next cycle and thereafter by using the energization instruction time correction amounts in or before a current cycle.

A system for controlling operations of an engine comprises a plurality of cylinders and a controller operatively coupled to each of the plurality of cylinders. The controller is configured to determine an operating condition of the engine, and in response to determining that the operating condition is suitable for activating less then all cylinders of the plurality of cylinders during a cycle of the engine, determine a first firing pattern, and a second firing pattern different from the first firing pattern for activating the plurality of cylinders of the engine. The controller is configured to activate a first set of cylinders of the plurality of cylinders based on the first firing pattern, and subsequent to activating the first set of cylinders, activate a second set of cylinders of the plurality of cylinders different from the first set of cylinders based on the second firing pattern.

The present invention provides a novel combination of devices to measure and transmit to an electronic controller data pertaining to differential pressures, temperatures, regeneration status, exhaust content, accumulated gas consumption and substitute fuel consumption. The electronic controller compares the data to thresholds; when the controller receives signals indicating these thresholds or limits are met, the controller causes the gas substitution rate to be diminished or set to zero until after-treatments elements are fully regenerated thereby facilitating integration of a mixed fuel system with an application internal combustion engine.

A method determines information about a change of a mobile gardening, forestry, construction or soil-working device, wherein the gardening, forestry, construction or soil-working device has a motor drive system. The method includes: a) repeated detection of a characteristic variable of the motor drive system in respect of time, b) comparison of at least one first value of the detected characteristic variable or a variable based on it from a first time period and at least one second value of the detected characteristic variable or the variable based on it from a second time period with one another, and c) storage of the information about the change of the gardening, forestry, construction or soil-working device depending on a result of the comparison.

A filter monitor system (“FMS”) module is installed on the engine/vehicle and is connected to the filter systems, sensors and devices to monitor various performance parameters. The module also connects to the engine control module (“ECM”) and draws parameters from the ECM. The FMS module is capable of interfacing with various output devices such as a smartphone application, a display monitor, an OEM telematics system or a service technician's tool on a computer. The FMS module consists of hardware and software algorithms which constantly monitor filter systems and provide information to the end-user. FMS module provides necessary inputs and outputs for electronic sensors and devices.

A filter monitor system (“FMS”) module is installed on the engine/vehicle and is connected to the filter systems, sensors and devices to monitor various performance parameters. The module also connects to the engine control module (“ECM”) and draws parameters from the ECM. The FMS module is capable of interfacing with various output devices such as a smartphone application, a display monitor, an OEM telematics system or a service technician's tool on a computer. The FMS module consists of hardware and software algorithms which constantly monitor filter systems and provide information to the end-user. FMS module provides necessary inputs and outputs for electronic sensors and devices.

Approaches for predicting parameters contributing to engine emissions are described. In an example, the values of control parameters may be obtained from the vehicle sensors. Based on the obtained values of the control parameters, estimated emission value may be determined pertaining to a correlation criterion reflecting a predetermined relationship between the obtained control parameter and engine emission. Further, the contribution index of each of the individual control parameters may be identified. Further, based on the estimated emission value and the contribution index, aggregated emission value corresponding to the exhausted emission from the engine for particular trip may be calculated.

Approaches for predicting parameters contributing to engine emissions are described. In an example, the values of control parameters may be obtained from the vehicle sensors. Based on the obtained values of the control parameters, estimated emission value may be determined pertaining to a correlation criterion reflecting a predetermined relationship between the obtained control parameter and engine emission. Further, the contribution index of each of the individual control parameters may be identified. Further, based on the estimated emission value and the contribution index, aggregated emission value corresponding to the exhausted emission from the engine for particular trip may be calculated.