B60W20/12

Lap learning for vehicle energy management optimization

A system for a vehicle includes a powertrain configured to propel the vehicle, and a controller configured to, during a first lap of the vehicle around a track, identify a portion of the track corresponding to a correlation of velocity, throttle position, and steering angle values indicative of a maximum power threshold, and, during a second lap, responsive to approaching the portion, limit power output by the powertrain causing temperature of the powertrain to fall and, upon entering the portion, increase power output to the maximum power threshold causing the temperature to rise, such that a difference in temperature between initiation of the limiting and exiting of the portion approaches zero.

Method and device for controlling motion of vehicle, and vehicle

A power system of a vehicle includes an engine, a first motor and a second motor. A method for controlling motion of the vehicle includes: receiving a cruise speed, a speed fluctuation quantity and a preset traveling mileage of the vehicle, and obtaining an upper speed bound and a lower speed bound of the vehicle based on the cruise speed and the speed fluctuation quantity; adjusting a current speed of the vehicle to the lower speed bound, and controlling the vehicle to enter a first cruise phase of a two-phase cruise mode; and controlling the vehicle to enter a second cruise phase of the two-phase cruise mode when the current speed of the vehicle is greater than or equal to the upper speed bound and a current traveling mileage is less than the preset traveling mileage.

Method and device for controlling motion of vehicle, and vehicle

A power system of a vehicle includes an engine, a first motor and a second motor. A method for controlling motion of the vehicle includes: receiving a cruise speed, a speed fluctuation quantity and a preset traveling mileage of the vehicle, and obtaining an upper speed bound and a lower speed bound of the vehicle based on the cruise speed and the speed fluctuation quantity; adjusting a current speed of the vehicle to the lower speed bound, and controlling the vehicle to enter a first cruise phase of a two-phase cruise mode; and controlling the vehicle to enter a second cruise phase of the two-phase cruise mode when the current speed of the vehicle is greater than or equal to the upper speed bound and a current traveling mileage is less than the preset traveling mileage.

Vehicle control device and vehicle control method

A vehicle control device includes: a storage portion in which map information is stored, the map information showing a position where a roadside machine configured to transmit a radio signal including predetermined information is provided; a route setting portion configured to set a route where an autonomous driving vehicle is to travel when a current position, of the autonomous driving vehicle, that is measured by a positioning portion provided in the autonomous driving vehicle is included within a predetermined distance from the position of the roadside machine on the map information and the autonomous driving vehicle approaches the position where the roadside machine is provided, the route being set so that a communication portion provided in the autonomous driving vehicle can receive the radio signal; and a vehicle controlling portion configured to control the autonomous driving vehicle so that the autonomous driving vehicle travels along the route.

Vehicle control device and vehicle control method

A vehicle control device includes: a storage portion in which map information is stored, the map information showing a position where a roadside machine configured to transmit a radio signal including predetermined information is provided; a route setting portion configured to set a route where an autonomous driving vehicle is to travel when a current position, of the autonomous driving vehicle, that is measured by a positioning portion provided in the autonomous driving vehicle is included within a predetermined distance from the position of the roadside machine on the map information and the autonomous driving vehicle approaches the position where the roadside machine is provided, the route being set so that a communication portion provided in the autonomous driving vehicle can receive the radio signal; and a vehicle controlling portion configured to control the autonomous driving vehicle so that the autonomous driving vehicle travels along the route.

Hybrid energy storage system optimization strategy with intelligent adaptive control

A control system implementing a hybrid energy storage system (ESS) optimization strategy is disclosed. The hybrid ESS optimization strategy may be implemented in a machine that comprises a power system that includes a plurality of power sources and a power controller that includes one or more processors. The power controller may receive information related to a set of brake-specific fuel consumption (BSFC) maps associated with the plurality of power sources, determine a performance indicator using a cost function associated with the plurality of power sources, and generate a command to operate the power system based on a power distribution that minimizes an energy cost to operate the power system based on the information related to the set of BSFC maps, the performance indicator, and a load associated with the power system.

METHOD FOR THE PERFORMANCE-ENHANCING DRIVER ASSISTANCE OF A ROAD VEHICLE
20220410723 · 2022-12-29 ·

A method for the performance-enhancing driver assistance of a road vehicle driven by a driver and provided with at least two drive wheels driven by at least one electric motor connected to a corresponding vehicular battery pack; the method comprises the steps of defining a dynamic model of the road vehicle; determining a route of a track travelled by the road vehicle; calculating, as a function of the dynamic model of the road vehicle and of the route, a convenience index relative to the use of energy of the vehicular battery pack by the electric motor; subdividing the route (R) into a plurality of sectors assigning to each a relative value of the calculated convenience index; delivering electrical power to the drive wheels according to the value of the convenience index assigned to each sector of the route.

Systems and methods of engine stop/start control of an electrified powertrain

Systems, apparatuses, and methods disclosed provide for receiving internal information, external static information, and external dynamic information of a hybrid vehicle, and selectively enable or disable a stop/start function for the engine of the hybrid vehicle based on the internal hybrid vehicle information, external static information, and external dynamic information. The stop/start function controls selective activation and deactivation of the engine during operation of the hybrid vehicle.

Systems and methods of engine stop/start control of an electrified powertrain

Systems, apparatuses, and methods disclosed provide for receiving internal information, external static information, and external dynamic information of a hybrid vehicle, and selectively enable or disable a stop/start function for the engine of the hybrid vehicle based on the internal hybrid vehicle information, external static information, and external dynamic information. The stop/start function controls selective activation and deactivation of the engine during operation of the hybrid vehicle.

Model Predictive Control of Multiple Components of a Motor Vehicle

A processor unit (3) is configured for executing an MPC algorithm (13) for model predictive control of a first component (18) of a motor vehicle (1) and of a second component (19) of the motor vehicle (1). The MPC algorithm (13) includes a cost function (15) to be minimized and a dynamic model (14) of the motor vehicle (1). The dynamic model (14) includes a loss model (27) of the motor vehicle (1). The loss model (27) describes an overall loss of the motor vehicle (1). The cost function (15) includes a first term, which represents the overall loss of the motor vehicle (1). The overall loss depends on a combination of operating values, which includes a first value of a first operating parameter and a second value of a second operating parameter. The processor unit (3) is also configured for determining, by executing the MPC algorithm (13) as a function of the loss model (14), that combination of operating values, by which the first term of the cost function (15) is minimized.