In some examples, a system including one or more processors may receive sensor data from one or more sensors indicating one or more engine parameters of an engine including a combustion chamber. Based on the sensor data, the system may determine a homogeneity index indicative of a homogeneity of an air-fuel mixture within the combustion chamber. Furthermore, the system may determine an estimated amount of NOx in the exhaust gas based at least in part on the homogeneity index. In addition, based at least partially on the estimated amount of NOx in the exhaust gas, the system may send an instruction to control an engine component.

A method for ascertaining emissions of a motor vehicle driven with the aid of an internal combustion engine in a practical driving operation. A machine learning system is trained to generate time curves of the operating variables with the aid of measured time curves of operating variables of the motor vehicle and/or of the internal combustion engine, and to then ascertain the emissions as a function of these generated time curves.

A system and approach for catalyst model parameter identification with modeling accomplished by an identification procedure that may incorporate a catalyst parameter identification procedure which may include determination of parameters for a catalyst device, specification of values for parameters and component level identification. Component level identification may be of a thermal model, adsorption and desorption, and chemistry. There may then be system level identification to get a final estimate of catalyst parameters.

A system for detecting wear or failure of a genset coupling of a genset power system is provided. The system includes a vibration sensor for measuring vibrations, and an additional sensor for measuring an operating condition. A controller is configured to process operating condition data from the additional sensor using a modeling software to generate simulated data. The controller applies time domain information of at least one of the simulated data and vibration sensor data to the modeling software using a machine learning algorithm, and perform a comparison to identify wear or failure of the coupling, wherein, when performing the comparison, the controller compares at least one of: time domain information of the vibration sensor data to time domain information of the simulated data or frequency domain information of the vibration sensor data to frequency domain information of the simulated data, to identify wear or failure of the coupling.

A control apparatus for a diesel engine includes a neighboring temperature estimating section which estimates a temperature of a neighborhood of a glow plug that heats an interior of a cylinder upon startup, and a supercharging pressure control section which controls a supercharging pressure in such a way that a rotation fluctuation of the engine does not increase, on the basis of the estimated temperature of the neighborhood of the glow plug.

In some examples, a system including one or more processors may receive sensor data from one or more sensors indicating one or more engine parameters of an engine including a combustion chamber. Based on the sensor data, the system may determine a homogeneity index indicative of a homogeneity of an air-fuel mixture within the combustion chamber. Furthermore, the system may determine an estimated amount of NOx in the exhaust gas based at least in part on the homogeneity index. In addition, based at least partially on the estimated amount of NOx in the exhaust gas, the system may send an instruction to control an engine component.

A system and approach for catalyst model parameter identification with modeling accomplished by an identification procedure that may incorporate a catalyst parameter identification procedure which may include determination of parameters for a catalyst device, specification of values for parameters and component level identification. Component level identification may be of a thermal model, adsorption and desorption, and chemistry. There may then be system level identification to get a final estimate of catalyst parameters.

A method for determining an injection quantity of a fuel injector determines a first time at which an injection process of the fuel injector starts, a second time at which the injection process of the fuel injector ends, calculates a model on the basis of the first time and the second time, which model represents the position of a nozzle needle of the fuel injector as a function of the time, and calculates the quantity of fuel to inject.

A test bench for a control system for controlling a wideband lambda sensor, which is configured to calculate an actual value, which represents an oxygen concentration in a measuring gap of a wideband lambda sensor or an indicator value from which the oxygen concentration can be derived, with consideration of a current generated by a pump voltage in an electrical circuit. In order to simulate the electrical response of a pump cell of the wideband lambda sensor, a first diode and a second diode are connected in parallel in the electrical circuit such that a current flows through the first diode at a first polarity of the pump voltage and a current flows through the second diode at a second polarity of the pump voltage.

An engine simulation system and method for replacing an original engine in an existing system of a piece of equipment, including an engine controller from the original engine, a new engine having an engine controller, and a simulator module connected between the engine controller of the new engine and the engine controller of the original engine. The simulator module is configured to simulate that the original engine is still in the existing system.