Abstract: Methods and systems are provided to control a regenerative braking system comprising a battery, e.g., of a vehicle. The regenerative braking system harvests energy from a braking event. The energy can be stored in the battery, used to power a plurality of devices in the vehicle, or the battery can be preconditioned to provide more capacity to account for a braking event. The vehicle system may comprise one or more electrical loads configured to use power from the battery. The method comprises detecting a regenerative braking event of the vehicle and activating a first electrical load to consume the energy from the regenerative braking event.

Abstract: Methods and systems are provided for an aftertreatment system. In one example, a method includes adjusting operation of an electric heating element based on an exhaust mass flow. The method further includes estimating the electric heating element based on the exhaust mass flow and a temperature of exhaust gas upstream of the electric heating element and downstream of a catalyst.

Abstract: Methods and systems are provided for partially regenerating a lean Nox trap in response to an engine shutdown request. In one example, an engine shutdown is delayed so that a low-temperature storing region of the lean Nox trap is regenerated without regenerating a high-temperature storing region of the lean Nox trap.

Abstract: A method for operating a motor vehicle includes acquiring current operating data in order to obtain archived operating data during an acquisition phase, evaluating the archived operational data in order to obtain labeled training data for an artificial intelligence during a simulation phase, training the artificial intelligence with the labeled training data during a training phase, and activating or deactivating an ECU or a control function (A, X) of the ECU of the motor vehicle by means of the artificial intelligence during a prediction phase.

Abstract: A simulation includes loading a first generator of a Cycle Generative Adversarial Network (CycleGAN) with a model dataset during a training phase in order to train the first generator in cooperation with a first discriminator of the CycleGAN assigned to the first generator, and loading a second generator of the CycleGAN with a hardware dataset in order to train the second generator in cooperation with a second discriminator of the CycleGAN assigned to the second generator, and loading the first generator with an input dataset during an operational phase in order to provide an output dataset.

Abstract: The disclosure relates to a method for monitoring emissions from a vehicle fleet consisting of a plurality of vehicles of a certain classification group. The method comprises the steps indicated in claim 1 with a) to e), as well as the further features listed there. With the method according to the disclosure, the emission emitted from a vehicle fleet can be reduced. Furthermore, by means of such an emission monitoring method more environmentally friendly and lower-emission vehicles can be developed.

Abstract: A method for predicting travel of a vehicle includes determining a prediction starting location and a plurality of prediction destinations including a plurality of possible intersections within a boundary at a predefined distance from the starting location. The method also includes determining, for each destination, at least one route to the destination, resulting in a plurality of routes at least one of which corresponds to each destination, including determining a statistical likelihood of the vehicle remaining on an intersection-exit that is along a potential route and selecting at least one route to each destination with the highest statistical likelihood. Responsive to the vehicle no longer being on a selected route, selecting at least one new route to the at least one destination.

Abstract: Methods and systems are provided for adjusting a vehicle powertrain. In one example, a vehicle powertrain is adjusted in response to an emission limit of an emission zone. Adjustments may be provided via a neural network wirelessly connected to a vehicle controller.

Abstract: A plurality of training data sets of user interactions in a real environment can be determined. A machine learning program is trained with the training data sets. A data set of virtual user interactions with a virtual environment is input to the trained machine learning program to output a probability of selection of an object in the virtual environment. The object is identified in the virtual environment selected by a user based on the probability. A manipulation of the object by the user is then identified.

Abstract: Methods and systems are provided for partially regenerating a lean NOx trap in response to an engine shutdown request. In one example, an engine shutdown is delayed so that a low-temperature storing region of the lean NOx trap is regenerated without regenerating a high-temperature storing region of the lean NOx trap. A battery charge is replenished during the shutdown, wherein the charge may be consumed during a subsequent engine operation.

Abstract: Methods and systems are provided for adjusting engine operating parameters in response to an emission output from vehicles within a region. In one example, a method comprises adjusting engine operating parameters in a portion of the vehicles to decrease an emission output therefrom.

Abstract: Methods and systems are provided for adjusting engine operating parameters in response to an emission output from vehicles within a region. In one example, a method comprises adjusting engine operating parameters in a portion of the vehicles to decrease an emission output therefrom.

Abstract: The disclosure relates to a method for monitoring emissions from a vehicle fleet consisting of a plurality of vehicles of a certain classification group. The method comprises the steps indicated in claim 1 with a) to e), as well as the further features listed there. With the method according to the disclosure, the emission emitted from a vehicle fleet can be reduced. Furthermore, by means of such an emission monitoring method more environmentally friendly and lower-emission vehicles can be developed.

Abstract: Methods and systems are provided for HP-EGR and LP-EGR. In one example, a method includes selecting a HP-EGR mode or a LP-EGR mode in response to a first difference calculated between ammonia desired during the two modes, and a second difference calculated between NOx emitted during the two modes.

Abstract: Methods and systems are provided for adjusting engine operating parameters in response to an emission output from vehicles within a region. In one example, a method comprises adjusting engine operating parameters in a portion of the vehicles to decrease an emission output therefrom.

Abstract: Embodiments for regeneration a particulate filter in a motor vehicle having a self-control mode for the autonomous control of a drive mode and having a diesel particulate filter disposed in the exhaust system of a diesel engine of the motor vehicle are provided. In one example, a method for protecting the diesel particulate filter from overheating and premature aging comprises: starting the self-control mode, starting/verifying a regeneration process of the diesel particulate filter with combustion of the soot particles adsorbed on the diesel particulate filter, and monitoring a temperature of the diesel particulate filter and/or of the exhaust gas directed through the diesel particulate filter during the regeneration process. Depending on a monitoring result of the monitoring, a control for the self-control mode of the motor vehicle can be adjusted.

Abstract: Methods and systems are provided for adjusting engine operating parameters in response to an emission output from vehicles within a region. In one example, a method comprises adjusting engine operating parameters in a portion of the vehicles to decrease an emission output therefrom.

Abstract: Methods and systems are provided for partially regenerating a lean NOx trap in response to an engine shutdown request. In one example, an engine shutdown is delayed so that a low-temperature storing region of the lean NOx trap is regenerated without regenerating a high-temperature storing region of the lean NOx trap. A battery charge is replenished during the shutdown, wherein the charge may be consumed during a subsequent engine operation.

Abstract: Methods and systems are provided for partially regenerating a lean Nox trap in response to an engine shutdown request. In one example, an engine shutdown is delayed so that a low-temperature storing region of the lean Nox trap is regenerated without regenerating a high-temperature storing region of the lean Nox trap.

Abstract: The present subject matter relates to a method and a treatment system monitor for monitoring an engine exhaust after-treatment system containing more than one Lean NOx Traps (LNT). The method includes receiving an exhaust gas of a desired air-fuel ratio upstream of a respective LNT. The LNT is further regenerated using a richer than stoichiometric exhaust air-fuel ratio and subsequently an air-fuel ratio received downstream of the LNT is evaluated. Further, a working state of a respective LNT is determined based on the monitoring of the air-fuel ratio and oxygen level upstream and downstream of the LNT.