In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for implementing torque control using a Neural Network (NN) for a torque prediction model to receive a set of measured vehicle operating inputs associated with torque prediction; substituting a set of multiple independent variables into the torque prediction model so that the NN is then taking the form of a simplified pseudo-NN that contains a reduced variable set of one independent variable; processing, the set of measured vehicle operating inputs by the pseudo-NN based on the NN prediction model by using only one independent variable in a pseudo-NN's simplified mathematical expression; and solving for at least one root of the pseudo-NN's simplified mathematical expression by obtaining a root value without having to rely on an inversion operation of a mathematical expression that consists of an entire set of independent variables.

A system is configured to manage motor engagement in a vehicle by determining to engage a disengaged motor shaft with a drivetrain, and in response, activating a feedback controller based on a speed of the motor shaft and activating a feedforward controller. The system determines at least one metric for modifying an output of the feedforward controller. The at least one metric is based on the speed of the motor shaft and the desired speed, and may be applied as a gain to the output of the feedforward controller. The system generates a command based on the feedback controller, the feedforward controller, and the at least one metric, and causes the motor shaft and the drivetrain to be engaged based on the speed of the motor shaft and the desired speed. The system nulls output of the feedforward controller as the speed of the motor shaft approaches the desired speed.

A method for protecting an electric machine of a motor vehicle, In the method, a switch-on frequency for the electric machine is ascertained as a function of operating parameters of the motor vehicle stored in a control unit. The switch-on frequency is compared to a predefinable first threshold value. At least one further threshold value is preset. The electric machine is switched on in the event a control variance exceeds the at least one further threshold value. In the event the switch-on frequency exceeds the first predefinable threshold value, the at least one further threshold value is adapted in such a way that the switch-on frequency of the electric machine is limited.

The disclosure relates to a method for actuating an electric drive of a trailer vehicle with a towing vehicle, including the steps: determining a current slip of at least one driven wheel of a towing vehicle pulling the trailer vehicle, determining an expected slip for the driven wheel of the towing vehicle, determining an acceleration demand depending on the determined current slip and the determined expected slip and actuating the electric drive depending on the acceleration demand. The disclosure also relates to a control unit for executing the method, a towing vehicle, a trailer vehicle and a vehicle combination.

A battery monitoring system includes a data receiver configured to receive battery information data and vehicle information data from a data collecting device connected to a vehicle, a battery management score calculator configured to calculate, based on the battery information data and the vehicle information data, factors affecting battery degradation among a charging habit, a driving habit, and a parking habit of a user, calculate, based on the factors, a battery management score, and store the battery management score in a database, and an information transmitter configured to transmit the battery management score to a terminal.

An apparatus and a method of reducing vibration of an electric vehicle capable of effectively reducing vibration by applying a drivetrain torsion speed during anti jerk control to extract a vibration-induced portion and processing the vibration-induced portion to generate a final output torque, include a drivetrain torsion speed calculator, a motor speed calculator, a model speed calculator, a vibration-induced portion calculator, a high-pass filter, a phase delay unit, and an anti jerk compensation torque generator.

A battery system includes a rechargeable energy storage system and a battery controller. The rechargeable energy storage system has a rapid charging mode and a discharging mode. The battery controller is electrically coupled to the rechargeable energy storage system and is configured to store multiple charging tables that contain multiple charge current limit entries, where each charging table corresponds to a unique one of multiple initial state-of-charge values, determine a starting state-of-charge value of the rechargeable energy storage system in response to entering the rapid charging mode, select up to two charging tables in response to the starting state-of-charge value of the rechargeable energy storage system being adjacent to up to two of the initial state-of-charge values, and control a charging current provided to the rechargeable energy storage system based on the charge current limit entries in the up to two charging tables as selected.

A degraded state estimation apparatus configured to estimate a degraded state of a battery mounted on a vehicle includes a detector, a storage, and an estimation processor. The detector detects state quantities including first, second, and third state quantities. The storage holds a maps of data including first and second maps of data. The first map of data indicates a degree of degradation of the battery based on the first and second state quantities. The second map of data indicates the degree of the degradation based on the second and third state quantities. The estimation processor estimates an amount of change in the degradation of the battery on the basis of the state quantities detected repetitively by the detector, the maps of data, and weighting coefficients each of which weights the degree of the degradation indicated by a corresponding one of the maps of data.

The invention relates to a method for controlling an operating characteristic (for example ground clearance or acceleration) of a vehicle (100) resting on a contact surface (200) by means of at least one landing gear (150) comprising means of actuating (160) adapted to vary a behaviour of the landing gear when the latter is in contact with the contact surface, whereby the said method makes the operating characteristic of the vehicle dependent upon a given set-point by generating a command intended for the means of actuating as a function of a difference (ε) between the operating characteristic and the set-point. According to the invention, the control system comprises the use of an estimation (P.sub.est) of a load (P) seen by the landing gear to generate a modification of the command so as to minimise a variation in the deviation caused by a variation in the load.

A system is configured to manage motor engagement in a vehicle by determining to engage a disengaged motor shaft with a drivetrain, and in response, activating a feedback controller based on a speed of the motor shaft and activating a feedforward controller. The system determines at least one metric for modifying an output of the feedforward controller. The at least one metric is based on the speed of the motor shaft and the desired speed, and may be applied as a gain to the output of the feedforward controller. The system generates a command based on the feedback controller, the feedforward controller, and the at least one metric, and causes the motor shaft and the drivetrain to be engaged based on the speed of the motor shaft and the desired speed. The system nulls output of the feedforward controller as the speed of the motor shaft approaches the desired speed.