Disclosed is a management device suitable for managing an electric propulsion assembly of a vehicle. The management device includes: a communication interface suitable for receiving an elevation profile for a predetermined route that the vehicle is intended to take; and a determination module configured to determine, based on the elevation profile, for each of one or more points of the route, a maximum electric power that the electrical energy storage device is configured to supply to the motor at the corresponding point. The management device is further configured to interact with the electric propulsion assembly such that, for each point of the route for which the maximum electric power is determined, the electric power actually supplied by the electrical energy storage device to the motor is less than the corresponding maximum electric power.

Systems and methods determine a current production rate of a piece of equipment processing first paving material at a worksite, receive first information indicative of an amount of power within a battery of the piece of equipment, receive second information indicative of a characteristic of the worksite, and determine predicted production rate of the piece of equipment to process second paving material at the worksite. The systems and methods further determine an amount of power required by the piece of equipment to process the second paving material at the worksite and determine that the amount of power within the battery of the piece of equipment is insufficient for the amount of power required by the piece of equipment to process the second paving material at the worksite.

The present disclosure relates to a charging control system for an electric vehicle including: an input device for receiving inputs of a demanded charge amount of a battery so as to charge the battery by using a charger; a processor configured to compute an expected charge time required to charge the battery and an expected drivable distance on completion of charging based on the demanded charge amount input to the input device; and an output device for displaying the expected charge time and the expected drivable distance computed by the processor.

A control method including, by a computer, acquiring a current SOC value of the battery, acquiring history information related to a past power consumption amount in the vehicle, inputting the history information having been acquired to a learned model, and acquiring prediction information related to the necessary power amount, determining whether the current SOC value is larger than an optimum SOC value determined in advance for suppressing deterioration of the battery, upon determination that the current SOC value is larger than the optimum SOC value, calculating a target value of an SOC value of the battery based on the current SOC value, the optimum SOC value, and the prediction information, and outputting, to the charge and discharge device, control information instructing to discharge power from the battery to an electrical device outside the vehicle until the SOC value of the battery reaches the target value.

A charging service for electric vehicles is provided. The charging service may allow electric vehicles to be charged when certain conditions are met (e.g., at certain times, when certain battery charge levels are reached, when located at certain sites, etc.), without users of these electric vehicles having to charge the vehicles themselves. Other features pertaining to charging of electric vehicles are also provided, such as an application for estimating a driving range (e.g., distance and/or time) available with a current battery charge level of an electric vehicle.

Methods and systems are provided for controlling a high power output direct current to alternating current converter for a vehicle. In one example, a method may include at a vehicle-on event, automatically operating the converter in a first power output mode, and transitioning to a different mode of operation in response to a transition request being received at a controller of the vehicle. In this way, the different mode of operation may be subject to confirmation via an operator of the vehicle, which may improve operational performance of the direct current to alternating current converter.

A system is provided for vehicle range prediction. The system determines a change in mass to a vehicle while driving. Additionally, the system calculates a vehicle load in response to determining the change in mass and adjusts a vehicle range in response to calculating the vehicle load. The vehicle range is indicative of a distance in which the vehicle is predicted to travel with a remaining fuel. The adjusted vehicle range is based on the vehicle load.

Systems and methods may coordinate and provide bidirectional energy transfer events between electrified vehicles and households or other structures, such as for supporting transient loads associated with the households/structures, for example. Vehicle information, driving habit information, and household information may be leveraged for providing enhanced transient load capability controls that permit increased appliance usage without increasing energy costs. The proposed systems/methods may particularly allow for bidirectional energy transfer support of high load appliances for increasing a user's comfort, pleasure, and convenience.

Techniques regarding parameterizing energy consumption of an electric vehicle are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a vehicle state estimation component that determines an operating condition experienced by a vehicle while traveling a route. Further, the system can comprise an energy consumption component that parametrizes an amount of energy expended by the vehicle while traveling the route based on a loss table that is populated with an energy consumption value derived from historic operation of the vehicle at the operating condition.

A system for powering an electric vehicle (EV) includes a battery, a power distribution module, and a battery bypass module. The power distribution module receives power from a charging station, draws power from the battery in a discharging mode, distributes power from the charging station to the battery in a charging mode, and distributes power to a plurality of subsystems of the EV. The battery bypass module is coupled to the battery and the power distribution module. When the battery bypass module is engaged in a charging bypass mode, power distributed by the power distribution module bypasses the battery and is distributed to at least a subset of the plurality of subsystems of the EV.