A computer can execute instructions to: receive, power-receiving vehicle data identifying a power-receiving vehicle; identify one or more power-supplying vehicles for providing charging to the power-receiving vehicle; determine a rank for each of the identified one or more power-supplying vehicles based on the received power-receiving vehicle data and data received from the one or more power-supplying vehicles; upon selecting one of the one or more power-supplying vehicles, provide a navigation instruction to navigate at least one of the power-receiving vehicle and the selected power-supplying vehicle to a charging location based on a power-receiving vehicle location and a selected power-supplying vehicle location; and send access data to the power-receiving vehicle to access a charge port of the selected power-supplying vehicle; send a first light actuation instruction to the power-supplying vehicle based on a charging status; and send a second light actuation instruction to the power-receiving vehicle based on charging status.

A computer can execute instructions to: receive, power-receiving vehicle data identifying a power-receiving vehicle; identify one or more power-supplying vehicles for providing charging to the power-receiving vehicle; determine a rank for each of the identified one or more power-supplying vehicles based on the received power-receiving vehicle data and data received from the one or more power-supplying vehicles; upon selecting one of the one or more power-supplying vehicles, provide a navigation instruction to navigate at least one of the power-receiving vehicle and the selected power-supplying vehicle to a charging location based on a power-receiving vehicle location and a selected power-supplying vehicle location; and send access data to the power-receiving vehicle to access a charge port of the selected power-supplying vehicle; send a first light actuation instruction to the power-supplying vehicle based on a charging status; and send a second light actuation instruction to the power-receiving vehicle based on charging status.

A charger plug nozzle for plugging into a battery charge socket includes an inner enclosure enclosing at least one heat source, an outer enclosure enclosing the inner enclosure, at least one heat source inside the inner enclosure, and at least one heat conductor. A heat receiving part of the at least one heat conductor is located in an air gap inside the inner enclosure, and a heat dissipating part of the at least one heat conductor is located in an air gap inside the outer enclosure.

An electric vehicle charging system includes a charging connector configured to receive a charging cable provided with electrical charging wires. The charging cable and/or the charging connector provide a flow path for guiding a liquid coolant, cooling the charging cable and/or the charging connector, and a thermal management unit for cooling the liquid coolant, the thermal management unit being fluidly connected to the flow path. The liquid coolant is an ionizable coolant, wherein a deionizing unit is provided and fluidly connected to the flow path for deionizing the liquid coolant to decrease its conductivity.

Embodiments described herein relate to predicting the utilization of electric vehicle (EV) charge points. Methods may include: receiving an indication of a plurality of candidate locations for EV charge points; determining static map features of the plurality of candidate locations; inputting the plurality of candidate locations and static map features into a machine learning model, where the machine learning model is trained on existing EV charge point locations, existing EV charge point static map features, and existing EV charge point utilization; determining, based on the machine learning model, a predicted utilization of an EV charge point at the plurality of candidate locations; and generating a representation of a map including the plurality of candidate locations, where candidate locations of the plurality of candidate locations are visually distinguished based on a respective predicted utilization of an EV charge point at the candidate locations.

Embodiments described herein relate to predicting the utilization of electric vehicle (EV) charge points. Methods may include: receiving an indication of a plurality of candidate locations for EV charge points; determining static map features of the plurality of candidate locations; inputting the plurality of candidate locations and static map features into a machine learning model, where the machine learning model is trained on existing EV charge point locations, existing EV charge point static map features, and existing EV charge point utilization; determining, based on the machine learning model, a predicted utilization of an EV charge point at the plurality of candidate locations; and generating a representation of a map including the plurality of candidate locations, where candidate locations of the plurality of candidate locations are visually distinguished based on a respective predicted utilization of an EV charge point at the candidate locations.

The present disclosure relates to a wired/wireless integrated power reception system provided in a vehicle, the wireless/wireless integrated power reception system including: a wired power reception apparatus configured to receive power from a transformer in a wired power receiving mode; a relay unit, which upon detecting reception of wireless power from a wireless power transmission pad, is configured to switch to a wireless power receiving mode; and a wireless power reception pad configured to receive power by magnetic coupling in the wireless power receiving mode.

The present disclosure relates to a wired/wireless integrated power reception system provided in a vehicle, the wireless/wireless integrated power reception system including: a wired power reception apparatus configured to receive power from a transformer in a wired power receiving mode; a relay unit, which upon detecting reception of wireless power from a wireless power transmission pad, is configured to switch to a wireless power receiving mode; and a wireless power reception pad configured to receive power by magnetic coupling in the wireless power receiving mode.

A robot apparatus for establishing a charging connection between a charging device and an energy storage unit of a motor vehicle, having a movement unit, by which the robot apparatus is movable in relation to the charging device and the motor vehicle, having a receptacle device, by which a charging element of the charging device can be received, can be coupled to a coupling element of the energy storage unit and subsequently released, and having a detection unit, by which a position of the coupling element on the motor vehicle is ascertainable, wherein the robot apparatus is connectable by a support device to the motor vehicle, whereby a force is transmittable from the robot apparatus to the motor vehicle.

A robot apparatus for establishing a charging connection between a charging device and an energy storage unit of a motor vehicle, having a movement unit, by which the robot apparatus is movable in relation to the charging device and the motor vehicle, having a receptacle device, by which a charging element of the charging device can be received, can be coupled to a coupling element of the energy storage unit and subsequently released, and having a detection unit, by which a position of the coupling element on the motor vehicle is ascertainable, wherein the robot apparatus is connectable by a support device to the motor vehicle, whereby a force is transmittable from the robot apparatus to the motor vehicle.