A control device includes a processor configured to output, in a case where communication between a server instructing a power feeding vehicle to proceed for power feeding to a feeding target facility and the power feeding vehicle is interrupted, a control signal for causing the power feeding vehicle to move to an installation site of the server.

A control device includes a processor configured to output, in a case where communication between a server instructing a power feeding vehicle to proceed for power feeding to a feeding target facility and the power feeding vehicle is interrupted, a control signal for causing the power feeding vehicle to move to an installation site of the server.

The invention relates to a sensing arrangement (100) for determining a displacement of a vehicle with respect to an electrical road system, comprising a first sensor (102) configured to detect the electrically energized path and to determine a first signal indicative of the distance between the first sensor and the electrically energized path; a second sensor (104) configured to determine a second signal indicative of the distance between the second sensor and the electrically energized path, the second sensor is separated a distance (106) from the first sensor in a front-rear direction of the vehicle. A control unit (108) is configured to determine an angular displacement of the vehicle with respect to the electrically energized path based on the first signal, the second signal and the distance between the first sensor and the second sensor.

The invention relates to a sensing arrangement (100) for determining a displacement of a vehicle with respect to an electrical road system, comprising a first sensor (102) configured to detect the electrically energized path and to determine a first signal indicative of the distance between the first sensor and the electrically energized path; a second sensor (104) configured to determine a second signal indicative of the distance between the second sensor and the electrically energized path, the second sensor is separated a distance (106) from the first sensor in a front-rear direction of the vehicle. A control unit (108) is configured to determine an angular displacement of the vehicle with respect to the electrically energized path based on the first signal, the second signal and the distance between the first sensor and the second sensor.

Methods and systems related to a charging station for a tracked mobile object are disclosed. In one embodiment, a charging station is provided. The charging station comprises a charging port for a remote control, a regulator that provides power from a power source to the charging port, a transceiver that transmits an outbound positioning signal to the remote control, and a non-transitory computer-readable medium storing instructions for a method. The method comprises at least one of generating the outbound positioning signal and receiving an inbound positioning signal.

Methods and systems related to a charging station for a tracked mobile object are disclosed. In one embodiment, a charging station is provided. The charging station comprises a charging port for a remote control, a regulator that provides power from a power source to the charging port, a transceiver that transmits an outbound positioning signal to the remote control, and a non-transitory computer-readable medium storing instructions for a method. The method comprises at least one of generating the outbound positioning signal and receiving an inbound positioning signal.

This disclosure provides a monitoring system, a base station, and a control method of drones. The drone includes a battery that supplies electric power for the drone and that connects with a charging connector. The base station includes a charging device, and the charging device includes a power supply connector, a power supply, and a power controller. The power supply connector is used for connecting to the charging connector. The power supply provides electric power. The power controller is coupled to the power supply and the power supply connector. The power controller is used to determine the battery specification of the battery and charge the battery from the power supply according to the battery specification. Thereby, the charging efficiency can be improved and the charging abnormality can be avoided.

This disclosure provides a monitoring system, a base station, and a control method of drones. The drone includes a battery that supplies electric power for the drone and that connects with a charging connector. The base station includes a charging device, and the charging device includes a power supply connector, a power supply, and a power controller. The power supply connector is used for connecting to the charging connector. The power supply provides electric power. The power controller is coupled to the power supply and the power supply connector. The power controller is used to determine the battery specification of the battery and charge the battery from the power supply according to the battery specification. Thereby, the charging efficiency can be improved and the charging abnormality can be avoided.

The disclosure generally pertains to battery charging management of battery electric vehicles (BEVs). In an example method, a processor generates an operational profile for a first BEV among a number of BEVs. The profile may be based on a mileage accumulation pattern, a parking pattern, and/or a battery charging pattern, detected over an information collection period. The mileage accumulation pattern may be based on the use of the first BEV for commuting from a residence to a workplace. The processor determines an availability of a battery charging outlet in a section of a garage of the residence, and based on the operational profile of the first BEV, identifies a period of time for charging a battery of the first BEV in the garage. The processor then issues a directive to park the first BEV in the section of the garage over the identified period of time for charging the battery.

The disclosure generally pertains to battery charging management of battery electric vehicles (BEVs). In an example method, a processor generates an operational profile for a first BEV among a number of BEVs. The profile may be based on a mileage accumulation pattern, a parking pattern, and/or a battery charging pattern, detected over an information collection period. The mileage accumulation pattern may be based on the use of the first BEV for commuting from a residence to a workplace. The processor determines an availability of a battery charging outlet in a section of a garage of the residence, and based on the operational profile of the first BEV, identifies a period of time for charging a battery of the first BEV in the garage. The processor then issues a directive to park the first BEV in the section of the garage over the identified period of time for charging the battery.