The power supply system includes a plurality of power supply apparatuses configured to transmit power to vehicles by non-contact. The plurality of power supply apparatuses includes a first power supply apparatus installed in a first region positioned on a road directly connected to an exit of an area in which operation of internal combustion engines is prohibited or restricted and where an amount of traffic of vehicles at least temporarily becomes equal to or greater than a predetermined threshold value, and a second power supply apparatus installed in a second region different from the first region. An amount of power supplied from the first power supply apparatus to a vehicle is made greater than an amount of power supplied from the second power supply apparatus to a vehicle.

The power supply system includes a plurality of power supply apparatuses installed at a road at surroundings of an area in which operation of internal combustion engines is prohibited or restricted and configured so as to transmit power to vehicles by non-contact. The plurality of power supply apparatuses include a first power supply apparatus installed at a first point where a distance of a running route up to an entrance of the area or a straight route up to the entrance or a boundary of the area is equal to or less than a predetermined distance, and a second power supply apparatus installed at a second point where the distance is greater than the predetermined distance. An amount of power supply to a vehicle from the first power supply apparatus is made greater than an amount of power supply to a vehicle from the second power supply apparatus.

A vehicle power supply system includes a vehicle power supply apparatus including a processor. When a disaster by which foreign matter might be deposited on a road occurs, the processor preferentially performs power supply to a road maintenance vehicle configured to perform maintenance on the road.

A through the road (TTR) hybridization strategy is proposed to facilitate introduction of hybrid electric vehicle technology in a significant portion of current and expected trucking fleets. In some cases, the technologies can be retrofitted onto an existing vehicle (e.g., a truck, a tractor unit, a trailer, a tractor-trailer configuration, at a tandem, etc.). In some cases, the technologies can be built into new vehicles. In some cases, one vehicle may be built or retrofitted to operate in tandem with another and provide the hybridization benefits contemplated herein. By supplementing motive forces delivered through a primary drivetrain and fuel-fed engine with supplemental torque delivered at one or more electrically-powered drive axles, improvements in overall fuel efficiency and performance may be delivered, typically without significant redesign of existing components and systems that have been proven in the trucking industry.

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.

An example operation includes one or more of determining, by a transport, an energy transfer condition exists along a route, routing, by the transport, to a location on the route based on the energy transfer condition exceeding an energy transfer value and based on one or more traffic conditions, aligning, by the transport, a position of the transport at the location to wirelessly receive an energy transfer, and receiving, by the transport, the energy transfer while the transport is in motion.

A method, a system, and a computer readable medium for managing recharging of a shared electric vehicle are provided. The method includes determining whether an energy storage device of the electric vehicle requires charging, identifying a charging method based on a plurality of parameters including an ambient temperature, a current state of charge, a current load, and a power estimate for a planned route, altering the planned route of the electric vehicle to enable charging based on the identified method, and charging a second energy storage device associated with a second electric vehicle during transit via the electric vehicle. The charging method includes swapping electric vehicles, exchanging the energy storage device, and charging via a charging bot.

A processor unit (3) is configured for executing an MPC algorithm (13) for model predictive control of a motor vehicle (1). The MPC algorithm (13) includes a longitudinal dynamic model (14) of the motor vehicle (1) and a cost function (15) to be minimized. The cost function (15) includes multiple terms, a first term of which represents an output of the cooling pump (28). In addition, the processor unit (3) is configured for, by executing the MPC algorithm (13) as a function of the longitudinal dynamic model (14), ascertaining a speed trajectory of the motor vehicle (1) situated within a prediction horizon and simultaneously ascertaining a pump operating value trajectory situated within the prediction horizon such that the first term of the cost function (15) is minimized.

When an adjustment target road in which a state of charge of the battery needs to be actively adjusted such as a congested road or a downhill road has been detected in the travel route based on the look-ahead information, the travel support control device performs state-of-charge adjustment control up to the adjustment target road. The travel support control device detects the adjustment target road based on look-ahead information generated for an estimated route on which it is estimated that the hybrid vehicle is to travel when the travel route has not been set, and performs the state-of-charge adjustment control up to the adjustment target road when the adjustment target road has been detected. At this time, a detection range for detecting a congested road and a detection range for detecting a downhill road in the estimated route are different.

Advanced vehicle control systems are disclosed. Within a vehicle system having several subsystem controllers dedicated to separate tasks in the vehicle, the subsystem controllers may use supplied control parameters. In this context, a centralized optimization unit is configured to receive prediction data, determine, within a prediction horizon, a modification to at least one supplied control parameter using the prediction data; and communicate the modification to the at least one supplied control parameter to at least one subsystem control unit.