Charging assistance system, method, and computer program
A charging assistance system includes a processor configured to execute a generation process of generating charging plan data for a vehicle on the basis of: predicted power consumption of the vehicle calculated on the basis of a future traveling schedule of the vehicle; and a charging condition at each predicted stop place based on the traveling schedule.
1. A charging assistance system comprising a processor configured to:
determine a future traveling schedule of a vehicle based on a past traveling history, the traveling schedule including an origin and a destination, and
generate charging plan data for a vehicle on the basis of: predicted power consumption of the vehicle calculated on the basis of the traveling schedule of the vehicle,
a charging condition at each predicted stop place based on the traveling schedule, and a priority condition,
wherein the charging plan data is generated to optimize the priority condition,
an optimization of the priority condition includes a prioritization of charging time minimizing a number of times of charging to the vehicle or minimizing a total charging time and a prioritization of charging price minimizing a charging price of the vehicle,
the processor is configured to output a display enabled to accept a selection, by a user, of priority conditions, and
the generating the charging plan data includes generating the charging plan data based on the selection received through the display.
2. The charging assistance system according to claim 1 , wherein
the predicted stop place is determined by the processor on the basis of at least one of the origin and the destination.
3. The charging assistance system according to claim 1 , wherein
the charging plan data is generated further on the basis of a predicted stop period at each predicted stop place.
4. The charging assistance system according to claim 3 , wherein
the traveling schedule includes a departure time and an arrival time of the vehicle, and
the predicted stop period is determined by the processor on the basis of the departure time and the arrival time.
5. The charging assistance system according to claim 1 , wherein
the charging condition includes an electricity price at the predicted stop place.
6. The charging assistance system according to claim 1 , wherein
the charging condition includes a charging voltage at the predicted stop place.
7. The charging assistance system according to claim 1 , wherein
the charging condition includes a charging standard available at the predicted stop place.
8. The charging assistance system according to claim 1 , wherein
the charging condition includes a condition set for the predicted stop place in accordance with demand response.
9. The charging assistance system according to claim 1 , wherein
the processor further executes control to display the traveling schedule and a charging plan indicated by the charging plan data, on a display device.
10. A charging assistance system comprising:
a storage device configured to store, for a plurality of charging possible places, charging condition data in which the places and charging conditions at the places are associated with each other; and
a processor configured to acquire the charging condition at a predicted stop place of a vehicle by referring to the charging condition data, and generate charging plan data for the vehicle on the basis of the acquired charging condition and a priority condition, wherein
the charging plan data is generated to optimize the priority condition,
an optimization of the priority condition includes a prioritization of charging time minimizing a number of times of charging to the vehicle or minimizing a total charging time and a prioritization of charging price minimizing a charging price of the vehicle,
the processor is configured to output a display enabled to accept a selection, by a user, of priority conditions, and
the generating the charging plan data includes generating the charging plan data based on the selection received through the display.
11. The charging assistance system according to claim 10 , wherein
the predicted stop place is determined by the processor on the basis of a future traveling schedule of the vehicle.
12. A method comprising:
determining a future traveling schedule of a vehicle based on a past traveling history, the traveling schedule including an origin and a destination; and
generating charging plan data for a vehicle on the basis of: predicted power consumption of the vehicle calculated on the basis of the traveling schedule of the vehicle,
a charging condition at each predicted stop place based on the traveling schedule, and a priority condition, and
outputting a display enabled to accept a selection, by a user, of priority conditions,
wherein the charging plan data is generated to optimize the priority condition,
an optimization of the priority condition includes a prioritization of charging time minimizing a number of times of charging to the vehicle or minimizing a total charging time and a prioritization of charging price minimizing a charging price of the vehicle, and
the generating the charging plan data includes generating the charging plan data based on the selection received through the display.
13. A method comprising acquiring, by referring to charging condition data in which a plurality of charging possible places and charging conditions at the places are associated with each other, the charging condition at a predicted stop place of a vehicle, generating charging plan data for the vehicle on the basis of the acquired charging condition and a priority condition, and outputting a display enabled to accept a selection, by a user, of priority conditions, wherein
the charging plan data is generated to optimize the priority condition,
an optimization of the priority condition includes a prioritization of charging time minimizing a number of times of charging to the vehicle or minimizing a total charging time and a prioritization of charging price minimizing a charging price of the vehicle, and
the generating the charging plan data includes generating the charging plan data based on the selection received through the display.
14. A non-transitory computer readable storage medium storing a computer program for causing a computer to execute steps comprising:
a process of determining a future traveling schedule of a vehicle based on a past traveling history, the traveling schedule including an origin and a destination,
a process of generating charging plan data for a vehicle on the basis of: predicted power consumption of the vehicle calculated on the basis of the traveling schedule of the vehicle; a charging condition at each predicted stop place based on the traveling schedule, and a priority condition,
outputting a display enabled to accept a selection, by a user, of priority conditions,
the charging plan data is generated to optimize the priority condition,
an optimization of the priority condition includes a prioritization of charging time minimizing a number of times of charging to the vehicle or minimizing a total charging time and a prioritization of charging price minimizing a charging price of the vehicle, and
the generating the charging plan data includes generating the charging plan data based on the selection received through the display.
15. A non-transitory computer readable storage medium storing a computer program for causing a computer to execute a process comprising acquiring, by referring to charging condition data in which a plurality of charging possible places and charging conditions at the places are associated with each other, the charging condition at a predicted stop place of a vehicle, generating charging plan data for the vehicle on the basis of the acquired charging condition and a priority condition, and outputting a display enabled to accept a selection, by a user, of priority conditions,
wherein the charging plan data is generated to optimize the priority condition,
an optimization of the priority condition includes a prioritization of charging time minimizing a number of times of charging to the vehicle or minimizing a total charging time and a prioritization of charging price minimizing a charging price of the vehicle, and
the generating the charging plan data includes generating the charging plan data based on the selection received through the display.