A processor unit (3) is configured for executing an MPC algorithm (13) for model predictive control of an electric machine (8) of a drive train (7) of a motor vehicle (1). The MPC algorithm (13) includes a longitudinal dynamic model (14) of the drive train (7) and a cost function (15) to be minimized. The cost function (15) includes a first term, a second term, and a third term. The processor unit (3) is configured for determining an input variable for the electric machine (8) by executing the MPC algorithm (13) as a function of the first, second, and third terms such that the cost function is minimized.

An example operation includes one or more of determining an efficiency, related to a current event of a transport, is lower than a threshold, and restricting a least intrusive future event of the transport, unrelated to the current event, until the efficiency is at or above the threshold.

A regenerative braking control method and a regenerative braking control device of the present invention control a drive source that generates a regenerative brake force in such a manner that an upper limit of regenerative deceleration when a driver executes manual control becomes smaller than an upper limit of regenerative deceleration when automatic control is executed.

Methods and systems for operating a driveline that includes two electric machines are described. In one example, one electric machine is operated in a generator mode and the other electric machine is operated in a motor mode so that electric power that is generated by the electric machine that is operated in the generator mode is consumed by the electric machine that is operated in the motor mode.

A system and method for managing energy consumption across a fleet of telematic devices in a computing environment. The method includes receiving real time vehicle operation data from a fleet of telematic devices. The method further includes processing the received real time vehicle operation data using one or more artificial intelligence device integration models. Further, the method includes generating artificial intelligence-based energy management models for the fleet of telematic devices based on the real time vehicle operation data. Additionally, the method includes generating one or more energy management decisions for the fleet of telematic devices based on the generated one or more artificial intelligence-based energy management models. The method further includes managing the generated one or more energy management decisions for the fleet of telematic devices using a web application.

A vehicle information calculation apparatus includes a motor torque acquisition unit, an angular acceleration acquisition unit, a contact force acquisition unit, and an inertia moment calculator. The motor torque acquisition unit acquires a torque of a motor that drives a vehicle. The angular acceleration acquisition unit acquires an angular acceleration of the motor. The contact force acquisition unit acquires a contact force of a wheel of the vehicle. The inertia moment calculator calculates an inertia moment of a rotating system of the vehicle including the wheel on the basis of the torque acquired by the motor torque acquisition unit, the angular acceleration acquired by the angular acceleration acquisition unit, the contact force acquired by the contact force acquisition unit, and a coefficient of friction between the wheel of the vehicle and a contact surface.

A method of controlling coasting of an eco-friendly vehicle includes: determining at least one effective event among deceleration events configured with a target speed in a forward driving path; setting a closest effective event based on a current position among the at least one effective event as a first candidate event; determining whether at least one second candidate event corresponding to an event needed to be followed is present among remaining effective events except for the first candidate event of the at least one effective event; and, when the at least one second candidate event is present, determining a target event among the first candidate event and the second candidate event in consideration of a control start point.

An electric powertrain includes a first electric motor that has an uninterrupted connection with a drive shaft of a vehicle. The electric powertrain further includes a second electric motor that has an interruptible connection with the drive shaft. In one form, this interruptible connection includes a clutch. The electric powertrain further includes a first gear train in the form of a first planetary gear and a second gear train in the form of a second planetary gear. To provide a compact configuration, the first electric motor and second electric motor are arranged in a centerline orientation with the drive shaft.

A method of controlling an electric motor to optimize system efficiency of an electric motor operable in a pulsed mode and a continuous mode is disclosed herein. The method includes receiving a requested torque for the electric motor, calculating a pulsed system efficiency, calculating a continuous system efficiency, and operating the electric motor in the pulsed mode when the pulsed system efficiency is greater than the continuous system efficiency. The pulsed system efficiency is calculated for delivering the requested torque from the electric motor in a plurality of torque pulses greater than the requested torque. The continuous system efficiency is calculated for delivering the requested torque from the electric motor as a continuous torque. The system efficiency may be at least partially based on a battery efficiency and a motor efficiency.

A method for operating a vehicle in particular a commercial vehicle having electric energy storage and an electric driving machine, includes determining an absorbable amount of energy of the electric energy storage, determining a driving route drivable by the vehicle at least partially in an overrun mode, and determining a recuperation power by which the vehicle may by operated along the driving route and/or determining a target speed at which the vehicle is to be driven on the driving route, such that at the end of the driving route the energy content of the energy storage has been increased by the determined absorbable amount of energy. Also provided is a device, a computer program product and a storage medium for the energy management of an electrically driven vehicle as well as such vehicle.