A method and systems are disclosed for controlling the exhaust emissions an internal combustion engine of a vehicle. The driving state of the vehicle is determined and corresponding driving state signals are generated with the aid of driving state detectors. The emission values of the exhaust gases emitted by the internal combustion engine are determined based on the driving state signals by a computer model stored in a control unit. The determined emission values are compared with predefined emission limits by the control unit. If the determined emission values exceed the predefined emission limits, the internal combustion engine and/or the exhaust aftertreatment device are controlled by the control unit such that the determined emission values are reduced until they lie below the predefined emission limits.

A system and method for self-adjusting engine performance parameters in response to fuel quality variations that includes an exhaust sensor for measuring a level of carbon dioxide present in an exhaust manifold, at least one of a knock sensor and a cylinder pressure transducer for determining a location of peak pressure and a centroid, respectively, a controller in communication with the exhaust sensor and the at least one of the knock sensor and the cylinder pressure transducer, the controller correlating a methane number of the fuel used by the engine to a brake specific carbon dioxide value calculated using the level of carbon dioxide measured by the exhaust sensor and the at least one of the centroid and the location of peak pressure, and an adjusting mechanism, wherein the adjusting mechanism adjusts an engine performance parameter based on the determined methane number.

Methods and systems are provided for estimating exhaust gas recirculation (EGR) flow in an engine including an EGR system. In one example, a method may include operating the EGR system in an open loop feed forward mode based on an intake carbon di oxide sensor output above a threshold engine load and/or when a manifold absolute pressure (MAP) is above a threshold pressure, and operating the EGR system in a closed loop feedback mode based on a differential pressure sensor output when the engine load decreases below the threshold load and/or when the MAP decreases below the threshold pressure.

Methods and systems are provided for estimating exhaust gas recirculation (EGR) flow in an engine including an EGR system. In one example, a method may include operating the EGR system in an open loop feed forward mode based on an intake carbon di oxide sensor output above a threshold engine load and/or when a manifold absolute pressure (MAP) is above a threshold pressure, and operating the EGR system in a closed loop feedback mode based on a differential pressure sensor output when the engine load decreases below the threshold load and/or when the MAP decreases below the threshold pressure.

A system and method is provided for the use of the ion current signal characteristics for onboard cycle-by-cycle, cylinder-by-cylinder measurement. The system may also control the engine operating parameters based on a predicted NOx emission level, CO emission level, CO.sub.2 emission level, O.sub.2 emission level, unburned hydrocarbon (HC) emission level, cylinder pressure, or a cylinder temperature measurement according to characteristics of the ion current signal.

Operating an engine system includes combusting a gaseous hydrogen fuel (H2) and a gaseous hydrocarbon fuel (HC) at a first substitution ratio in a cylinder in an engine, determining at least one of an H2 fueling command or an HC fueling command based on an H2 availability input and an H2 cost, and outputting the H2 fueling command and the HC fueling command to an H2 injector and an HC admission valve, respectively. Operating the engine system further includes combusting H2 and HC at a varied substitution ratio based on the H2 fueling command and the HC fueling command. At least one of the H2 fueling command or the HC fueling command may be based on a monitored CO2 exhaust level which may be used to populate a stored history of CO2 output.

Methods and systems are provided for estimating exhaust gas recirculation (EGR) flow in an engine including an EGR system. In one example, a method may include operating the EGR system in an open loop feed forward mode based on an intake carbon di oxide sensor output above a threshold engine load and/or when a manifold absolute pressure (MAP) is above a threshold pressure, and operating the EGR system in a closed loop feedback mode based on a differential pressure sensor output when the engine load decreases below the threshold load and/or when the MAP decreases below the threshold pressure.

The invention concerns a method (200) for operating a motor vehicle (100) with a combustion engine (110), including the determination (210) of a current operating state of the vehicle (100), the determination (220) of an emission state of the vehicle (100) during the determined operating state, carrying out (230) at least one measure to reduce emissions depending on the emission state and evaluating (240) the at least one measure in connection with the operating state with regard to its success in reducing emissions. Furthermore, a computing unit (130) and a computer program product for carrying out such a method (200) are proposed.

Methods and systems are provided for estimating exhaust gas recirculation (EGR) flow in an engine including an EGR system. In one example, a method may include operating the EGR system in an open loop feed forward mode based on an intake carbon di oxide sensor output above a threshold engine load and/or when a manifold absolute pressure (MAP) is above a threshold pressure, and operating the EGR system in a closed loop feedback mode based on a differential pressure sensor output when the engine load decreases below the threshold load and/or when the MAP decreases below the threshold pressure.

Systems and methods are provided for a camless reciprocating engine control system that uses laser absorption spectroscopy (LAS) sensors and artificial intelligence/machine learning to optimize engine operation. The control system evaluates LAS data in real time or substantially real time to optimize the operation of the engine through dynamic management of camless engine components such as intake valves, exhaust valves, fuel injectors, spark plugs, and variable compression mechanisms.