An automated method of caching map data for vehicle range projection using a computer system including a processor and a storage includes: retrieving, from the storage to the processor, data corresponding to an area of a map, wherein the retrieved data includes multiple links and multiple nodes; dividing, at the processor, the area of the map into a set of tiles; associating, at the processor, a portion of the retrieved data with each tile in the set of tiles; evaluating, at the processor, each particular link to determine whether the particular link spans multiple tiles from the set of tiles; and dividing, at the processor, the particular link into at least two sub-links if the particular link spans multiple tiles by adding a node at each point the particular link crosses a boundary between two tiles.

Methods and systems for monitoring a vehicle. In a parked state of the vehicle, the control unit of the vehicle is deactivated, and the signals of some of the sensors of the vehicle are detected and evaluated by way of a separate detecting unit. If, based on the sensor signals evaluated in this way, a defined event is detected, the previously deactivated control unit can be activated. Thus, the operating time of the control unit is minimized over the total life span of the vehicle.

A vehicle reach area presentation device sets a unit area in which a start point exists as a start area among unit areas into which a region on map data is divided and extracts pieces of probe data including records of past travels within a certain range from the start area. The device sets the unit areas, including goal points recorded in the extracted pieces of probe data, as reach areas, calculates energy consumptions from the start area to the reach areas by using the pieces of probe data, and presents the reach areas to a user while changing display of the reach areas depending on the calculated energy consumptions.

A vehicle including an energy storage device and a powertrain system configured to effect regenerative braking is described. A method for controlling the vehicle includes determining an expected increase in a state of charge of the energy storage device achieved through opportunity charging by employing regenerative braking during an anticipated next trip of the vehicle. A preferred setpoint for the state of charge of the energy storage device is determined based upon the expected increase in the state of charge achieved through opportunity charging, and charging of the energy storage device is controlled during a remote charging event based upon the preferred setpoint for the state of charge of the energy storage device.

System, methods, and other embodiments described herein relate to determining rendezvous locations and autonomously swapping a resupply carriage with a vehicle along a route. In one embodiment, a method includes in response to a request for resupplying the vehicle with energy, determine a rendezvous point for meeting the vehicle with a resupply carriage. The method includes dispatching the resupply carriage to meet the vehicle at the rendezvous point by providing an electronic signal to the resupply carriage to cause the resupply carriage to autonomously travel to the rendezvous point. The method includes controlling the vehicle to swap a current carriage for the resupply carriage to supply energy to the vehicle. The vehicle is comprised of a passenger compartment that is removably attached to the current carriage. The current carriage and the resupply carriage are interchangeable propulsion sources for the vehicle.

A vehicle includes a traction battery and a controller programmed to, in response to a first ignition cycle after a charging of the traction battery, output a distance until charge prediction based on one or more selected distance estimates from filtered sets of historical data that are derived by filtering historical data based on a time and a day of the first ignition cycle. The selected distance estimates may be from filtered sets having more than a predetermined number of members. The selected distance estimates may be from filtered sets having a variance that is less than an overall historic variance. The filtered sets may include members of an unfiltered set based on a time of day and day of week.

The present disclosure relates to a charging method and a charging apparatus of a cleaning robot. With the method, position information of a plurality of charging ports available for the cleaning robot is obtained; when it is determined that the cleaning robot needs to be charged, current position information of the cleaning robot is obtained; a closest charging port from the plurality of charging ports which is the closest to a current position of the cleaning robot is determined according to the position information of the plurality of charging ports and the current position information of the cleaning robot; and the cleaning robot is controlled to move to the closest charging port according to the position information of the closest charging port. With the technical solution, the cleaning robot may be charged nearby, thereby reducing power consumption of the cleaning robot.

In one aspect, a system for charging an aircraft can include a robotic charging device, and a computing system configured to obtain data associated with a transportation itinerary and energy parameter(s) of the aircraft. The data associated with the transportation itinerary can be indicative of an aircraft landing facility at which the aircraft is to be located. The computing system can determine (e.g., select) a robotic charging device from among a plurality of robotic charging devices for charging the aircraft based on the transportation itinerary data and energy parameter(s) of the aircraft; determine charging parameter(s) for the robotic charging device based on the transportation itinerary data; and communicate command instruction(s) for the robotic charging device to charge the aircraft according to the charging parameter(s). The robotic charging device can be configured to automatically connect with a charging area of the aircraft for charging a battery onboard the aircraft.

A method for estimating a remaining range of a vehicle battery charge includes identifying at least one route characteristic of a portion of a selected route, determining a vehicle energy consumption profile for a vehicle and determining a current state of charge of a vehicle battery of the vehicle. The method also includes determining, for the selected route, a route energy consumption profile and calculating an estimated remaining charge for the vehicle battery at an end of the selected route based on the state of charge of the vehicle battery and the route energy consumption profile. The method also includes determining whether the estimated remaining charge for the vehicle battery is within a vehicle battery charge range and, in response to a determination that the estimated remaining charge is within the vehicle battery charge range, generating a first indication; and providing the first indication.

A method includes determining a first probable amount of aggregate heat generated by a vehicle battery over a time interval, for each of a plurality of possible travelable paths to possible destinations, achievable within the time interval. The method also includes determining a second probable amount of aggregate heat generated by the battery over another time interval for each of a plurality of second possible travelable paths to possible second destinations from the possible first destinations. The method includes determining a maximum probable amount of aggregate heat generated over the first and second time intervals, and, responsive to the maximum amount of aggregate heat generated over the second time interval exceeding predefined cooling capacity and responsive to the maximum amount of aggregate heat generated over the first time interval being less than the predefined cooling capacity, scheduling precooling of the battery during the first time interval.