MANAGING A FLEET OF AUTONOMOUS ELECTRIC VEHICLES FOR ON-DEMAND TRANSPORTATION AND ANCILLARY SERVICES TO ELECTRICAL GRID

• US 20160247106A1
• Filed: 02/19/2016
• Published: 08/25/2016
• Est. Priority Date: 02/24/2015
• Status: Abandoned Application

• Current Assignee: Siemens Corp. (Siemens AG)
• Original Assignee: Siemens AG
• Inventors: Dalloro, Livio, Srivastava, Sanjeev, Mirabella, Lucia
• Application Number:
  US15/047,703
• Publication Number:
  US 20160247106A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05D 1/0297 by controlling means in a control room
• CPC Class Codes: G05D 2201/0213 Road vehicle, e.g. car or truck
• CPC Class Codes: G06Q 10/06313 Resource planning in a project environment
• CPC Class Codes: G08G 1/202 Dispatching vehicles on the basis of a location, e.g. taxi dispatching

Abstract

A computer-implemented method for managing a fleet of electric vehicles includes a fleet management computing system selecting an optimal vehicle fleet size and a plurality of discharging parking lot locations based on (i) historical electrical energy consumption for a geographic area and (ii) historical traffic flow though the geographic area during one or more time periods of interest. The fleet management computing system collects transportation demand data from a plurality of users comprising requests for transportation to locations within the geographic area and uses (i) the optimal vehicle fleet size, (ii) the plurality of discharging parking lot locations, and (iii) the transportation demand data to select routing information for each of a plurality of electric vehicles. Then, the fleet management computing system routes each respective autonomous vehicle according to its respective routing information.

Claims

1. A computer-implemented method for managing a fleet of electric vehicles, the method comprising:

selecting, by a fleet management computing system, an optimal vehicle fleet size and an plurality of discharging parking lot locations based on (i) historical electrical energy consumption for a geographic area and (ii) historical traffic flow though the geographic area during one or more time periods of interest;

collecting, by the fleet management computing system, transportation demand data from a plurality of users comprising requests for transportation to locations within the geographic area;

using, by the fleet management computing system, (i) the optimal vehicle fleet size, (ii) the plurality of discharging parking lot locations, and (iii) the transportation demand data to select routing information for each of a plurality of electric vehicles; and

routing, by the fleet management computing system, each respective autonomous vehicle according to its respective routing information.

2. The method of claim 1, wherein collecting the transportation demand data from the plurality of users comprises:

maintaining a server computing device within the fleet management computing system configured to communicate with applications installed on devices operated by the plurality of users;

receiving, by the server computing device, a plurality of transportation requests from the plurality of users via the applications; and

aggregating the plurality of transportation requests over a predetermined time period to yield the transportation demand data.

3. The method of claim 2, wherein the transportation demand data is continuously updated based on new transportation requests received from the plurality of users via the applications or from one or more additional users.

4. The method of claim 3, further comprising:

updating routing information for one or more of the plurality of electric vehicles based on updated transportation demand data.

5. The method of claim 1, wherein the method includes a macro level update process comprising:

receiving updated historical electrical energy consumption for the geographic area;

receiving updated historical traffic flow though the geographic area; and

updating the optimal vehicle fleet size and the plurality of discharging parking lot locations based on (i) the updated historical electrical energy consumption in the geographic area and (ii) the updated historical traffic flow though the geographic area.

6. The method of claim 5, wherein the macro level update process is repeated on a monthly basis by the fleet management computing system.

7. The method of claim 1, wherein the method includes a medium level update process comprising:

identifying a high energy consumption area in the geographic area;

determining a number of additional electric vehicles required in the high energy consumption area to meet a target power reduction or other ancillary services in the high energy consumption area; and

updating routing information for one or more of the plurality of electric vehicles based on the number of additional electric vehicles required according to energy demand.

8. The method of claim 7, wherein the energy demand is identified based on near-real time energy use data.

9. The method of claim 8, wherein the medium level update process is repeated at least once per hour.

10. The method of claim 1, wherein the method includes a micro level update process comprising:

receiving traffic flow information corresponding to one or more intersections or points of confluence within the geographic area; and

updating routing information for one or more of the plurality of electric vehicles based on the transportation demand data and the traffic flow information.

11. The method of claim 10, further comprising:

receiving near real-time position information corresponding to the plurality of electric vehicles; and

determining the traffic flow information based on the position information.

12. The method of claim 11, wherein the micro level update process is repeated at least once per minute.

13. An article of manufacture for managing a fleet of electric vehicles, the article of manufacture comprising a non-transitory, tangible computer-readable medium holding computer-executable instructions for performing a method comprising:

selecting a plurality of discharging parking lot locations based on (i) historical electrical energy consumption for a geographic area, and (ii) historical traffic flow though the geographic area during one or more time periods of interest;

receiving a plurality of user requests for transportation to locations within the geographic area;

selecting a plurality of electric vehicles in the fleet of electric vehicles, each respective electric vehicle comprising a battery;

generating routing information for each respective electric vehicle that satisfies one of the plurality of user requests for transportation and facilitates discharging of the battery associated with the respective electric vehicle at one of the plurality of discharging parking lot locations; and

providing each of the plurality of electric vehicles an instruction dataset corresponding to its respective routing information.

14. The article of manufacture of claim 13, wherein receiving the plurality of user requests for transportation to locations within the geographic area comprises:

communicating with applications installed on devices operated by a plurality of users;

receiving the plurality of user requests for transportation from the plurality of users via the applications.

15. The article of manufacture of claim 13, wherein the method includes a macro level update process comprising:

receiving updated historical electrical energy consumption for the geographic area;

receiving updated historical traffic flow though the geographic area; and

updating the plurality of discharging parking lot locations based on (i) the updated historical electrical energy consumption in the geographic area and (ii) the updated historical traffic flow though the geographic area.

16. The article of manufacture of claim 13, wherein the method includes a medium level update process comprising:

identifying a high energy consumption area in the geographic area;

determining a number of additional electric vehicles required in the high energy consumption area to meet a target power reduction or other ancillary services in the high energy consumption area; and

updating routing information for one or more of the plurality of electric vehicles based on the number of additional electric vehicles required in specific areas according to energy demand.

17. The article of manufacture of claim 13, wherein the method includes a micro level update process comprising:

receiving traffic flow information corresponding to one or more intersections or points of confluence within the geographic area; and

updating routing information for one or more of the plurality of electric vehicles based on the plurality of user requests for transportation and the traffic flow information.

18. The article of manufacture of claim 13, wherein the method further comprises:

selecting an optimal vehicle fleet size based on (i) the historical electrical energy consumption for the geographic area, and (ii) the historical traffic flow though the geographic area during the one or more time periods of interest,

wherein selecting the plurality of electric vehicles in the fleet of electric vehicles is based on the optimal vehicle fleet size.

19. A system for managing a fleet of electric vehicles, the system comprising:

a plurality of electric vehicles, each electric vehicle comprising a battery; and

a fleet management computing system configured to;

select a plurality of discharging parking lot locations based on (i) historical electrical energy consumption for a geographic area, and (ii) historical traffic flow though the geographic area during one or more time periods of interest,

receive a plurality of user requests for transportation to locations within the geographic area, and

generate a routing instruction for each respective electric vehicle that satisfies one of the plurality of user requests and facilitates discharging of the battery associated with the respective electric vehicle at one of the plurality of discharging parking lot locations,

provide each of the plurality of electric vehicles with its respective routing instruction.

20. The system of claim 19, wherein the fleet management computing system is further configured to:

communicate with applications installed on devices operated by a plurality of users to receive the plurality of user requests for transportation within the geographic area.