A vehicle information DB holds information on whether or not a vehicle falls under a welfare vehicle provided with an assistance apparatus for a driver who has a lower limb impairment. A power feed facility DB holds position information of a power feed facility and information indicating whether the power feed facility falls under a contact type power feed facility or a wireless power feed facility. A processing apparatus creates a travel route such that a larger number of wireless power feed facilities are included along the travel route when the vehicle falls under the welfare vehicle than when the vehicle does not fall under the welfare vehicle.

A processing unit segments the route into a plurality of sections. It is, for each section, obtains a set of route section characteristic values, R.sub.SCV, that will impact the energy consumption of the vehicle whilst driving within the section, obtains a set of vehicle energy consumption values, V.sub.ECV, that will impact the energy consumption of the vehicle whilst driving within the section at least partly based on R.sub.SCV, estimates a first probability distribution, P.sub.1, of the energy consumption for the vehicle whilst driving within the section based on R.sub.SCV, V.sub.ECV, and a first set of traffic information values, T.sub.1, within the section, estimates a second probability distribution, P.sub.2, of the energy consumption for the vehicle whilst driving within the section based on R.sub.SCV, V.sub.ECV, and a second set of traffic information values, T.sub.2, within the section, estimates a traffic flow indicator, I.sub.TF, for the section based on R.sub.SCV, V.sub.ECV and a third set of traffic information values, T.sub.3, within the section, and determines a route section probability distribution, P.sub.RS, of the energy consumption for the vehicle whilst driving within the section based on the relation between I.sub.TF, P.sub.1, and P.sub.2.

A method for managing energy consumption in a vehicle along a first route from a source location to a first target destination includes estimating an energy consumption, E.sub.PC, of the vehicle travelling from the source location to the first target destination along the first route. In case the amount of energy, E.sub.TOTAL, available in the vehicle is not on a level above E.sub.C that ensures arrival of the vehicle at the first target destination according to a first determined level of certainty, an estimated energy consumption, E.sub.AUX, of each auxiliary system on-board the vehicle for the first route, and an energy utilization information, EU.sub.INFO, indicating a priority level of each auxiliary system on-board the vehicle for the first route is obtained. An energy consumption adaption sequence of the auxiliary systems is determined for the first route based on the obtained E.sub.AUX and EU.sub.INFO of each auxiliary system such that E.sub.TOTAL is maintained on a level above E.sub.PC that ensures arrival of the vehicle at the first target destination according to a second determined level of certainty.

A renewable energy charging system for increasing the charging efficiency of an autonomous vehicle includes a computer programed to predict, in a vehicle at a plurality of locations, an amount of power generation associated with each location. The computer selects one of the locations based at least on the predicted amounts of power generation and moves the vehicle to the selected location.

This electric vehicle control device is provided with: an efficiency control unit which, during travel of the electric vehicle, in a state in which the battery is prone to deteriorate, increases the rate of consumption of the power charged in the battery by performing control for reducing the efficiency of the motor; a travelable distance calculation unit which calculates the travelable distance of the electric vehicle using the SOC of the battery and a travel coefficient; and a travel coefficient correction unit which, before and after the efficiency control unit performs control for reducing the efficiency of the motor, corrects the travel coefficient such that change in the travelable distance calculated by the travelable distance calculation unit is reduced.

An electric vehicle having an electrical storage battery includes an inductive charge receiver configured to inductively couple to a series of charging coils embedded in a roadway over which the vehicle travels in order to transfer charge to the storage battery. A ground penetrating radar transceiver is configured to interrogate the roadway including a region of the roadway toward which the vehicle is heading. The ground penetrating radar transceiver generates reflectance data including reflections from the charging coils and from embedded cabling coupling the charging coils. An object analyzer is responsive to the reflectance data and configured to map the series of charging coils relative to the vehicle. A path controller is configured to determine a steering operation of the vehicle along the roadway for optimizing a charge transfer from the series of charging coils to the inductive charge receiver.

The present disclosure relates to an electrified vehicle and a method for providing a distance to empty thereof that provide the distance to empty with a minimum error with an actual mileage. The electrified vehicle includes a temperature sensor for measuring an ambient temperature of the vehicle, a BMS for monitoring a SOC of a battery mounted on the vehicle, and a controller that calculates a DTE based on the ambient temperature and the SOC of the battery, adjusts a DTE reduction rate based on an actual discharging amount of the battery while traveling, and updates the DTE based on the adjusted DTE reduction rate.

The present subject matter relates generally to a driver assistance system and method for a vehicle. The driver assistance system includes a vehicle having a plurality of sensors, a telematics unit to communicate vehicle level data to the surroundings of the vehicle, a display device to display the vehicle level data, a server, and a smart device. The smart device communicates with the server on a first network and with the display device on a second network. The vehicle, the server, and the smart device communicates through each other via communication network. The invention is based on smart device interface with different communication devices to provide the user with real time vehicle, environmental data, and user related data.

A system for establishing a primary function display for an electrical vertical takeoff and landing aircraft. The system further includes a plurality of sensors that detects at least a metric and generates at least a datum based on the at least a metric. Specifically, state of charge is at least generated based on the performance metric of an energy source. The system further includes a display to show the at least a datum. The system further includes a controller that receives the at least a datum and generates a visual to the pilot.

A method of controlling an electric marine propulsion system configured to propel a marine vessel includes receiving a user-set distance, identifying a battery charge level of a power storage system on a marine vessel and identifying an energy utilization value. An output limit is then determined based on a remaining distance, the battery charge level, and the energy utilization value. The propulsion system is then automatically controlled so as to not exceed the output limit, enabling the marine vessel to travel the user-set distance without recharging the power storage system.