A method for operating a motor vehicle having an exhaust gas aftertreatment device involves an on-board electronic computing device receiving consumption information characterizing consumption of a reducing agent by the exhaust gas aftertreatment device and tank information characterizing a filling level of a reducing agent tank. Tank information is evaluated together with the consumption information with regard to a divergence, and upon determination of the divergence between the tank information and the consumption information, error information is stored in a blockchain characterizing the motor vehicle, and an action of the motor vehicle is triggered.

The disclosure relates to a self-adaptive oil spraying control system and method for a biodiesel engine. The control system includes an exhaust pipe, a gas sensor, a control module and an oil sprayer, wherein the exhaust pipe is connected to the oil sprayer, the gas sensor is mounted in the exhaust pipe, and the gas sensor and the oil sprayer are connected to the control module respectively. According to the control method, a main spray advance angle of the engine is subjected to closed-loop control directly through comparison between an idling steady state NO.sub.x emission signal and an idling steady state NO.sub.x emission value of pure diesel when the engine uses the biodiesel, so that emission of NO.sub.x in the exhaust is reduced. Compared with the prior art, the disclosure has the advantages of no need of detecting a biodiesel ratio, high efficiency, good effect and the like.

A catalyst deterioration detection device is provided to detect deterioration of a catalyst provided in an exhaust passage of an internal combustion engine. The catalyst deterioration detection device includes a storage device and processing circuitry. The storage device stores map data specifying a mapping that uses time series data of an excess amount variable in a first predetermined period and time series data of a downstream detection variable in a second predetermined period as inputs to output a deterioration level variable. The processing circuitry executes an acquisition process that acquires data, a deterioration level variable calculation process that calculates a deterioration level variable of the catalyst based on an output of the mapping using the data acquired by the acquisition process as an input. The map data includes data that is learned through machine learning.

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.

Methods and systems are provided for selecting a first travel route for a vehicle from a database based on particulate filter regeneration requirements and an inferred initial driver state of mind. In one example, the initial driver state of mind may be selected based on a past driver history, and during travel along the first travel route, the driver state of mind may be updated based on the driver interactions with traffic. The route selection may also be updated based on the updated driver state of mind.

A control apparatus for an internal combustion engine includes an exhaust gas sensor that has a sensor element and a heater for electrically heating the sensor element, a sensor circuit that detects the electric current generated by the exhaust gas sensor, a controller configured to: carry out starting processing to start the internal combustion engine, learn a value of the output of the sensor circuit when the starting processing is carried out by the controller, and control a temperature of the sensor element by using the heater, and controls the temperature of the sensor element to less than the predetermined temperature until the learning of the output value of the sensor circuit by the controller is completed after the starting processing is carried out by the controller.

A method and control device for monitoring the function of a particulate filter in an exhaust gas duct of an internal combustion engine. A soot emission in the exhaust gas duct downstream from the particulate filter is determined with a particle sensor, an expected soot emission after a limit particulate filter at the location of the particle sensor is simulated and a comparison value is ascertained. A good particulate filter is found if the measured soot emission is less than the comparison value of the simulated soot emission. A defective particulate filter is found if the measured soot emission is higher than the comparison value of the simulated soot emission. The simulated soot emission is determined as being a simulated soot particle concentration at the installation site of the particle sensor such that a basic soot concentration in a soot concentration model is corrected at least with an oxygen correction.

A method of generating vehicle control data includes: storing, with a storage device, relationship prescription data; operating, with an execution device, an operable portion of an internal combustion engine; acquiring, with the execution device, a detection value from a sensor that detects the state of the vehicle; calculating, with the execution device, a reward; and updating, with the execution device, the relationship prescription data using update mapping determined in advance, the update mapping using the state of the vehicle based on the detection value, an operation amount used to operate the operable portion, and the reward corresponding to the operation as arguments, and returning the relationship prescription data which have been updated such that an expected profit for the reward calculated when the operable portion is operated in accordance with the relationship prescription data increases.

A method for controlling a fill level of an exhaust gas component store of a catalytic converter of an internal combustion engine, in which the fill level is controlled by using a system model, which includes a catalytic converter model, and uncertainties of measurement or model variables, which influence the control of the fill level, being corrected by an adaptation that is based on signals of an exhaust-gas probe situated on the output side of the catalytic converter. The method provides that an adaptation requirement is learned as a function of the operating point, the learned adaptation requirement is stored as a function of the operating point, and a distinction is made based on the operating point dependency between different causes of the uncertainties. Also described is a control unit to carry out the method.

A catalyst temperature estimation device that estimates a temperature of a catalyst provided in an exhaust passage of an internal combustion engine includes a storage device and processing circuitry. The storage device stores mapping data that specifies a mapping that uses multiple input variables to output an estimation value of the temperature of the catalyst. The multiple input variables include at least one variable of an ambient temperature variable or an excess amount variable. The multiple input variables further include a fluid energy variable, which is a state variable related to energy of fluid flowing into the catalyst, and a previous cycle value of the estimation value of the temperature of the catalyst. The processing circuitry is configured to execute an acquisition process, a temperature calculation process, and an operation process. The mapping data includes data that is learned through machine learning.