Vehicles including a plurality of front and rear ground engaging members, a front driveline operatively coupled to a first power source, a rear driveline operatively coupled to a second power source, at least one controller operatively coupled to the first drive system and the second drive system are disclosed. The vehicles may further include a torque request input adapted to be actuatable by an operator of the vehicle. The torque request input may provide an indication of a requested torque to the at least one controller. The at least one controller may, based on the requested torque, command a first output of the first drive system to the at least one front ground engaging member and a second output of the second drive system to the at least one rear ground engaging member. Vehicle drive control systems are also disclosed. Methods of controlling torque and battery management are also disclosed.

A method and a system for reducing driveline speed oscillations related to a driveline resonance frequency are described. Driveline speed oscillations may be reduced via slipping a driveline clutch or adjusting torque of a driveline motor/generator. The method and system may be activated during select vehicle operating conditions.

An online method of detecting and compensating for errors in flux estimation in operation of a motor system. The method includes determining a voltage compensation term by comparing an expected voltage and an actual voltage. The method also includes determining a flux compensation term by passing the voltage compensation term through a low-pass filter, and determining a corrected flux component value by comparing the flux compensation term with a flux value obtained from a look-up table, wherein the low-pass filter receives operating parameters based on data regarding an operating environment of the motor system. The method then further determines a corrected torque value based on the corrected flux component value.

In an embodiment, a method of controlling a vehicle by altitude prediction based on identification of a high-energy area is provided. The method can include identifying a high-energy spot based on a reference altitude change and map information including altitude data, clustering high-energy spots for each area to set a high-energy area and generating area information, and performing driving power control based on at least location information of the vehicle and the area information in response to the vehicle travel path including the high-energy area.

The present application relates to the technical field of vehicle controlling technology, and provides a method and a device for gradient calculating. The method for gradient calculating includes: acquiring current operating parameters of the vehicle, wherein the current operating parameters include a current longitudinal acceleration, a current lateral acceleration, a current vehicle acceleration, and a current vehicle speed; determining a first influence value of the current lateral acceleration on the current longitudinal acceleration according to the current lateral acceleration and the current vehicle speed; determining a second influence value of the current vehicle acceleration on the current longitudinal acceleration according to the current vehicle acceleration and the current vehicle speed; correcting the current longitudinal acceleration according to the first influence value and the second influence value; and determining the gradient value based on the corrected current longitudinal acceleration.

A method for terminating an automated driving function of a vehicle involves deactivating the driving function by a steering intervention of a driver of the vehicle in a steering system, which includes a steering column and a steering wheel. In order to determine the steering intervention, a steering column torque at the steering column is measured and a steering wheel angle is measured. A manual torque acting on the steering wheel is estimated based on the measured steering column torque and the measured steering wheel angle. The estimation is based on a model equation of the steering system, which takes into consideration a moment of inertia of the steering wheel and a frictional torque in the steering system.

The present disclosure relates to a driver-assistance system comprising a GNSS receiver, a camera and a control unit, wherein the driver-assistance system is configured to calculate respective local lane data for keeping the vehicle in the lane dependent on a respective image of at least the respective segment generated by means of the camera, wherein the respective local lane data specifies a respective course of the lane on the respective segment relative to the vehicle, wherein the driver-assistance system is configured to convert the respective local lane data into respective global lane data dependent on respective GNSS data of the vehicle generated by means of the GNSS receiver when driving on the respective segment and to save the respective global lane data, wherein the respective global lane data specifies the respective course of the lane on the respective segment in global coordinates.

The present invention provides a processor, a sensor device, a control system, and a processing method capable of suppressing an increase in the number of mounted sensors. A processor 132 is a processor 132 that processes a sensor signal output from a sensor mounted to a vehicle, and includes: an acquisition section 132a that acquires the sensor signal output from the sensor; a first processing section 132b that generates first output signals through first filters F11, F12, F13, F14, F15, F16, each of which extracts a first frequency band from the sensor signal acquired by the acquisition section 132a; a second processing section 132c that generates second output signals through second filters F21, F22, F23, F24, F25, F26, each of which extracts a second frequency band, which differs from the first frequency band, from the sensor signal acquired by the acquisition section 132a; and an output section 132d that outputs the first output signal and the second output signal at once.

In a method for detecting the road condition for a vehicle, the following steps are performed: a vehicle dynamics variable describing the dynamics of the motor vehicle is detected while the vehicle is driving; the vehicle dynamics variable is subjected to a frequency analysis; and a road condition variable describing the instantaneous roughness of the roadway surface is ascertained as a function of the frequency analysis of the vehicle dynamics variable.

The utility vehicle includes a body; a travel device provided for the body; a driving source configured to drive the travel device; an acceleration operating member configured to receive an operation for adjusting a travel speed of the utility vehicle; a drive controller configured to generate a driving signal for the driving source; and an acceleration detector configured to detect a vertical acceleration of the body relative to ground, and the drive controller is configured to generate the driving signal based on (i) an amount of the operation that the acceleration operating member receives and (ii) the acceleration.