SYSTEM AND METHOD FOR SELECTING AN ELECTRIC VEHICLE CHARGING STATION

• US 20140316939A1
• Filed: 04/11/2014
• Published: 10/23/2014
• Est. Priority Date: 04/19/2013
• Status: Abandoned Application

• Current Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Original Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Inventors: Uyeki, Robert M.
• Application Number:
  US14/250,414
• Publication Number:
  US 20140316939A1
• Time in Patent Office: Days
• US Class Current: 705/26.9
• CPC Class Codes: B60L 2200/10 Air crafts
• CPC Class Codes: B60L 2200/12 Bikes
• CPC Class Codes: B60L 2200/32 Waterborne vessels
• CPC Class Codes: B60L 2200/36 Vehicles designed to transport cargo, e.g. trucks
• CPC Class Codes: B60L 2240/62 Vehicle position
• CPC Class Codes: B60L 2240/72 Charging station selection relying on external data
• CPC Class Codes: B60L 2240/80 Time limits
• CPC Class Codes: B60L 2250/16 by display
• CPC Class Codes: B60L 3/12 Recording operating variables ; Monitoring of operating variables
• CPC Class Codes: B60L 50/16 with provision for separate direct mechanical propulsion
• CPC Class Codes: B60L 50/52 characterised by DC-motors
• CPC Class Codes: B60L 53/18 Cables specially adapted for charging electric vehicles
• CPC Class Codes: B60L 53/63 in response to network capacity
• CPC Class Codes: B60L 53/65 involving identification of vehicles or their battery types
• CPC Class Codes: B60L 53/67 Controlling two or more charging stations
• CPC Class Codes: B60L 53/68 Off-site monitoring or control, e.g. remote control
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• CPC Class Codes: B60L 58/21 having the same nominal voltage
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02T 10/70 : Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/7072 : Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y02T 10/72 : Electric energy management in electromobility
• CPC Class Codes: Y02T 90/12 : Electric charging stations
• CPC Class Codes: Y02T 90/14 : Plug-in electric vehicles
• CPC Class Codes: Y02T 90/16 : Information or communication technologies improving the operation of electric vehicles
• CPC Class Codes: Y02T 90/167 : Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: Y04S 10/126 : the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
• CPC Class Codes: Y04S 30/14 : Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

Abstract

A computer-implemented method for providing an electric vehicle charging station recommendation includes receiving, at a remote server including a processor, a charge request from a vehicle computing device associated with an electric vehicle and determining at least one compatible charging station from one or more charging stations based on a comparison of the charge request to charging station data stored in a charging station database at the remote server. The method includes determining an availability status of the at least one compatible charging station based on whether real-time availability data can be obtained from the at least one compatible charging station and selecting at least one compatible charging station with an availability status in accordance with the charge request. The method includes providing information associated with the selected at least one compatible charging station to the vehicle computing device associated with the electric vehicle.

Claims

1. A computer-implemented method for selecting an electric vehicle charging station, comprising:

receiving, at a remote server including a processor, a charge request from a vehicle computing device associated with an electric vehicle;

determining at least one compatible charging station from one or more charging stations based on a comparison of the charge request to charging station data stored in a charging station database at the remote server;

determining an availability status of the at least one compatible charging station based on whether real-time availability data can be obtained from the at least one compatible charging station;

selecting at least one compatible charging station with an availability status in accordance with the charge request; and

providing information associated with the selected at least one compatible charging station to the vehicle computing device associated with the electric vehicle.

2. The computer-implemented method of claim 1, wherein the charge request includes vehicle data, the vehicle data including at least charge characteristics of the electric vehicle and temporal data of the charge request.

3. The computer-implemented method of claim 1, wherein determining whether real-time availability data can be obtained from the at least one compatible charging station is based on a connectivity status of the at least one compatible charging station.

4. The computer-implemented method of claim 1, wherein upon determining that real-time availability data cannot be obtained from the at least one compatible charging station, determining the availability status based on historical charging station availability data from the charging station database.

5. The computer-implemented method of claim 4, wherein historical charging station availability data includes aggregated usage data of charging stations by date and time.

6. The computer-implemented method of claim 4, wherein selecting the at least one compatible charging station with an availability status in accordance with the charge request includes determining a probability that the at least one compatible charging station is available based on the historical charging station availability data from the charging station database.

7. The computer-implemented method of claim 6, wherein selecting the at least one compatible charging station with an availability status in accordance with the charge request includes selecting the at least one compatible charging station with a greatest probability that the at least one compatible charging station is available.

8. The computer-implemented method of claim 1, wherein providing information associated with the selected at least one compatible charging station to the device associated with the electric vehicle includes providing information on whether the selected at least one compatible charging station is networked or non-networked.

9. A computer-implemented method for selecting an electric vehicle charging station, comprising:

transmitting a charge request from a vehicle computing device associated with an electric vehicle to a remote server; and

receiving at the vehicle computing device a selection of at least one compatible charging station from the remote server, wherein the at least one compatible charging station is determined by the remote server from one or more charging stations based on a comparison of the charge request to charging station data stored in a charging station database communicatively coupled to the remote server, and wherein the at least one compatible charging station is determined based on an availability status in accordance with the charge request, the availability status based on whether real-time availability data can be obtained from the at least one compatible charging station; and

outputting information associated with the selected at least one compatible charging station.

10. The computer-implemented method of claim 9, wherein upon determining that real-time availability data cannot be obtained from the at least one compatible charging station, the remote server determines the availability status based on historical charging station availability data from the charging station database.

11. The computer-implemented method of claim 10, wherein historical charging station availability data includes aggregated usage data of charging stations by date and time.

12. The computer-implemented method of claim 10, wherein the selected at least one compatible charging station is based on a probability that the at least one compatible charging station is available based on the historical charging station availability data from the charging station database.

13. The computer-implemented method of claim 12, including the vehicle computing device determining a best charging station based on the greatest probability that the selected at least one compatible charging station is available.

14. The computer-implemented method of claim 10, wherein outputting information associated with the selected at least one compatible charging station includes providing networked and non-networked information about the selected at least one compatible charging station.

15. A system for selecting an electric vehicle charging station, comprising:

a remote server including a processor, the remote server communicatively coupled to a vehicle computing device associated with an electric vehicle and the remote server communicatively coupled to a charging station database, the processor including;

a receiving module receives a charge request from the device associated with the electric vehicle;

a selection module determines at least one compatible charging station from one or more charging stations based on a comparison of the charge request to charging station data stored at the charging station database of the remote server, the selection module determines an availability status of the at least one compatible charging station based on whether real-time availability data can be obtained from the at least one compatible charging station and the selection module selects at least one compatible charging station with an availability status in accordance with the charge request; and

an output module provides information associated with the at least one selected charging station to the vehicle computing device associated with the electric vehicle.

16. The system of claim 15, wherein the selection module determines that real-time availability data cannot be obtained from the at least one compatible charging station, the remote server determines the availability status based on historical charging station availability data from the charging station database.

17. The system of claim 15, wherein the selection module determines whether real-time availability data can be obtained from the at least one compatible charging station based on a connectivity status of the at least one compatible charging station.

18. The system of claim 17, wherein the selection module determines the availability status based on historical charging station availability data from the charging station database upon determining that real-time availability data cannot be obtained from the at least one compatible charging station.

19. The system of claim 18, wherein the selection module determines a probability that the at least one compatible charging station is available based on the historical charging station availability data from the charging station database.

20. The system of claim 15, wherein the output module provides information on whether the selected at least one compatible charging station is networked or non-networked.