The operation of a hybrid powertrain system is optimized with respect to a desired state-of-charge trajectory, taking account of the estimated anticipated vehicle drive power. The hybrid powertrain system has an internal combustion engine and an electrically operated torque machine. The internal combustion engine and the torque machine are controlled by a control device and are connected to an output element via a hybrid transmission. Before the start of the prediction period Δt, an experience-based state-of-charge trajectory for the anticipated route, covering at least the prediction period Δt, is retrieved from an external database. The desired state-of-charge trajectory is established based on the experience-based state-of-charge trajectory by modifying it with at least one optimization constraint. The experience-based state-of-charge trajectory can be established based on operating data from hybrid powertrain systems of multiple vehicles and/or from operating data from multiple comparable journeys with the same vehicle.

A method and a device for optimizing fuel consumption includes using a charge mode of a plug-in hybrid vehicle.

A vehicle control system has a plurality of subsystem controllers including an engine management system 28, a transmission controller 30, a steering controller 48, a brakes controller 62 and a suspension controller 82. These subsystem controllers are each operable in a plurality of subsystem modes, and are all connected to a vehicle mode controller 98 which controls the modes of operation of each of the subsystem controllers so as to provide a number of driving modes for the vehicle. Each of the modes corresponds to a particular driving condition or set of driving conditions, and in each mode each of the functions is set to the function in mode most appropriate to those conditions.

A control system for a hybrid vehicle configured to suppress a temperature rise in a transmission while achieving a required driving force without modifying a cooling system. If a temperature in the transmission is lower than a threshold level during propulsion in a hybrid mode, a controller operates an engine at an optimally fuel efficient point. If the temperature in the transmission system is equal to or higher than the threshold level during propulsion in a hybrid mode, the controller shifts the operating point of the engine to the point at which the heat generation in the transmission system can be suppressed.

Methods and systems are presented for improving performance of a vehicle operating in a cruise control mode where a controller adjusts torque output from a vehicle to maintain vehicle speed within a desired range. The methods and systems include adapting a vehicle dynamics model and a vehicle fuel consumption map that provide input to nonlinear model predictive controller.

Various embodiments include a driver assistance system for determining the position of a stopping point of a vehicle at an infrastructure device comprising: a control unit; a communication device for receiving data from a server or from the infrastructure device; and a sensor arrangement for capturing vehicle data or environmental data. The control unit determines the location of the stopping point at the infrastructure device based at least in part on the data and the vehicle data or environmental data.

Data are collected on at least one of a coolant temperature of a vehicle, an atmospheric ozone level, and air quality. A refueling time is determined based on the collected data. The vehicle is moved to a fueling station based on the refueling time.

A fleet management system dispatches autonomous electric vehicles (AEVs) as on-demand power sources. The fleet management system receives a request for a power source including a location and data describing the amount of power requested. The fleet management system selects an AEV of the fleet to service the request based on the relative locations of the AEVs to the requested location, and based on the amount of power requested. The fleet management system instructs the selected AEV to drive to the location and supply power. The fleet management system instructs the selected AEV to disconnect and return to the charging station, and may instruct another AEV to continue fulfilling the request if additional power is needed.

In one aspect, a method of controlling gear shifting in response to a driving mode change, the method including determining a maximum number of allowable low-level gear-shifting steps according to a result of determining a state of a transmission, computing an immediate post-gear-shifting expected speed of a turbine for each step included that is within the maximum number of allowable low-level gear-shifting steps, using a current speed of an output shaft of the transmission and a gear ratio of each step and comparing the computed expected speed of the turbine with a preset allowable speed thereof for each step, setting the lowest-level gear-shifting step, among gear-shifting steps at which the expected speed of the turbine and the allowable speed thereof satisfy a predetermined condition, is set to be a target gear-shifting step, and executing gear-shifting control for shifting a current gear-shifting step down to the target gear-shifting step.

A method for outputting recommendations for energy efficient operation of a vehicle having at least two modes of operation, from which an operating mode is respectively selected by a drive controller, depending on the occurrence of specified triggers, for operating the vehicle. A change of operating mode caused by the trigger is determined. A frequency of the change of operating mode is incremented at every determination of the change of operating mode caused by the trigger. The frequency is analyzed by comparing the frequency of the change of operating mode a predetermined value. A message is generated on a case-by-case basis. The message is output via at least one output comprised by the vehicle.