A cruise control method for a vehicle includes: calculating maximum and minimum vehicle speeds based on a reference vehicle speed in a driving mode of deceleration after acceleration; setting a range of an upper and lower limit vehicle speeds for acceleration and deceleration driving by adding and subtracting a preset incremental value to and from the reference vehicle speed within the maximum and minimum vehicle speeds; calculating fuel efficiency by calculating fuel quantity and mileage according to a preset acceleration condition and by calculating fuel quantity and mileage according to fuel cut control and neutral control in a deceleration condition within the range of the upper and lower limit vehicle speeds; repeating the fuel efficiency calculation when the incremental value is additionally added to and subtracted from the range; and determining a set of driving conditions through repeating the calculating fuel efficiency.

In some examples, a controller receives information of a route of a vehicle, and selects a first parameter set from among a plurality of parameter sets based on the route of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the first parameter set to control a setting of the one or more adjustable elements of the vehicle.

Either a mode in which a vehicle travels with an electric motor or a mode in which the vehicle travels with an internal combustion engine is selected based on information on a fee when the vehicle is caused to travel with the electric motor and information on a fee when the vehicle is caused to travel with the internal combustion engine.

A method for operating a support system for preventing a motor vehicle from being left stranded due to a lack of drive energy is disclosed. The, wherein the motor vehicle has at least one driver assistance system and an internal combustion engine, which is operated with fuel as a first energy source of drive energy, and/or an electric motor, which is operated with electric energy of a battery as a second source of drive energy. The motor vehicle is autonomously driven to a charging and/or filling location using a vehicle system, which is designed to guide the motor vehicle in a fully automatic manner, when an emergency criterion is met which is constantly evaluated during an operational phase of the motor vehicle, and indicates to the driver that the motor vehicle will be left stranded if a charging and/or filling process is not carried out.

A method for controlling the distribution of power to a traction motor in a plug-in electric vehicle having a plurality of on-board sources of electric power. Power is distributed at a normal power control relationship in response to an operator control input during operation in a normal mode. Power is depleted at a first rate during operation of the vehicle in the normal mode. Power is distributed at a derate power control relationship in response to the operator control input during operation in a derate mode. Power is depleted at a second rate that is less than the first rate during operation in the derate mode to conserve the power of the one or more on-board sources. Operation in the derate mode can be initiated in response to information from sensors identifying a vehicle condition indicating a battery charge limitation.

A computer includes a processor and a memory storing instructions executable by the processor to receive data indicating a lane change by a first vehicle that is towing a second vehicle, the data including data indicating a direction that first wheels of the first vehicle are turning while the first vehicle is performing the lane change; and during the lane change, instruct a steering system of the second vehicle to turn second wheels of the second vehicle in a same direction as the first wheels.

Method and device for optimized autonomous driving, wherein a trajectory for the actuation of the vehicle is determined. A profile of the trajectory is defined by a bending line of a bending band. The bending line is preferably determined by the finite element method, in particular according to the principle of virtual shifting, and achieves an optimization goal and satisfies a boundary condition. The boundary condition is defined in accordance with a profile of a roadway for the vehicle. The optimization goal is defined by a desired driving property of the vehicle.

The invention relates to the provision of apparatus and a method to determine the operation of a vehicle and provide monitoring of the same and the condition of a storage area capable of being transported as part of the vehicle. The storage area includes one or more detection devices provided in the same and which are in communication with the operator of the vehicle and/or external personnel or organisations so as to detect a change in condition of the vehicle and in particular if the change exceeds predetermined parameters.

In one example, a method performed by a processing system including at least one processor includes receiving a plurality of data from an autonomous driving vehicle, presenting the plurality of data in a contextually aware dynamic visual indicator, generating an output that the autonomous driving vehicle is operating improperly based on an analysis of the plurality of data, and transmitting a control signal to the autonomous driving vehicle in response to the output that the autonomous driving vehicle is operating improperly to modify an operation of the autonomous driving vehicle.

A hybrid vehicle comprises an engine, an energy storage device, and an aftertreatment system comprising a SCR catalyst configured to treat constituents of an exhaust gas. A controller is operatively coupled to the engine, the energy storage device, and the after treatment system, and configured to estimate an exhaust gas temperature and flow rate of the exhaust gas based on a set of engine operating parameters. The controller determines an exhaust gas cooling rate based on the exhaust gas temperature, flow rate, and a SCR catalyst temperature, and an ambient cooling rate based on an ambient temperature, a vehicle speed and the catalyst temperature. The controller determines a SCR catalyst temperature change rate based on the exhaust gas and ambient cooling rates, and adjusts a load distribution between the engine and the energy storage device based on the SCR catalyst temperature change rate.