IP Library › Granted Patent US 10,937,113
Granted Patent B2
US 10,937,113 · App. 16/212,146 · Granted Mar 2, 2021

Energy resource pre-allocation and delivery based on demand

Inventors: Freddy V. Rayes (Shelby Township, MI); Allan K. Lewis (Windsor, CA); Apral S. Hara (Lasalle, CA); Kunaal Verma (Royal Oak, MI)
Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
G06Q50/06G06Q10/06315
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Quick Facts
Patent No.
US 10,937,113
App. No.
16/212,146
Granted
Mar 2, 2021
Kind
B2
Abstract

Embodiments include methods, systems and computer readable storage medium for demand prediction and energy resource pre-allocation and/or relocation. The method includes monitoring, by a processor, venue event information for one or more locations. The method further includes calculating, by the processor, an energy resource demand based on a charge demand model. The method further includes determining, by the processor, whether the energy resource demand exceeds available energy resource stations provided at the location. The method further includes instructing, by the processor, one or more vehicles having spare energy resources to contribute at least a portion of the spare energy resources to meet the energy resource demand exceeding the available energy resource stations.

Claims (44)

1. A method for demand prediction and energy resource pre-allocation and/or relocation, the method comprising:

monitoring, by a processor, venue event information for one or more locations;

calculating, by the processor, an energy resource demand based on a charge demand model;

determining, by the processor, whether the energy resource demand exceeds available energy resource stations provided at the location;

instructing, by the processor, one or more vehicles having spare energy resources to contribute at least a portion of the spare energy resources to meet the energy resource demand exceeding the available energy resource stations; and

transferring the at least a portion of the spare energy resources to one or more receiving vehicles.

2. The method of claim 1 further comprising:

determining whether the energy resource demand exceeds available energy resource stations provided at the location and spare energy contributions provided by the one or more vehicles having spare energy resources; and

dispatching one or more mobile energy resource stations to the location to meet the energy resource demand exceeding the available energy resource stations and spare energy contributions provided by the one or more vehicles having spare energy resources.

3. The method of claim 1 further comprising determining an occurrence of an event or large gathering based on the venue event information.

4. The method of claim 1 further comprising:

estimating a number of vehicles traveling to the location; and

determining a state of charge for one or more receiving vehicles of the vehicles traveling to the location.

5. The method of claim 4 , wherein the one or more receiving vehicles are electric vehicles.

6. The method of claim 1 , wherein the charge demand model is based on a state of charge for one or more receiving vehicles and the available energy resource stations provided at the location.

7. A system for demand prediction and energy resource pre-allocation and/or relocation, the system comprising:

a memory; and

a processor coupled to the memory, wherein the processor is operable to:

monitor venue event information for one or more locations;

calculate an energy resource demand based on a charge demand model;

determine whether the energy resource demand exceeds available energy resource stations provided at the location; and

instruct one or more vehicles having spare energy resources to contribute at least a portion of the spare energy resources to meet the energy resource demand exceeding the available energy resource stations, wherein at least a portion of the spare energy resources are transferred to one or more receiving vehicles.

8. The system of claim 7 , wherein the processor is further operable to:

determine whether the energy resource demand exceeds available energy resource stations provided at the location and spare energy contributions provided by the one or more vehicles having spare energy resources; and

dispatch one or more mobile energy resource stations to the location to meet the energy resource demand exceeding the available energy resource stations and spare energy contributions provided by the one or more vehicles having spare energy resources.

9. The system of claim 7 , wherein the processor is further operable to determine an occurrence of an event or large gathering based on the venue event information.

10. The system of claim 7 , wherein the processor is further operable to:

estimate a number of vehicles traveling to the location; and

determine a state of charge for one or more receiving vehicles of the vehicles traveling to the location.

11. The system of claim 10 , wherein the one or more receiving vehicles are electric vehicles.

12. The system of claim 7 , wherein the charge demand model is based on a state of charge for one or more receiving vehicles and the available energy resource stations provided at the location.

13. A non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions readable by a processor to cause the processor to perform a method for demand prediction and energy resource pre-allocation and/or relocation comprising:

monitoring venue event information for one or more locations;

calculating an energy resource demand based on a charge demand model;

determining whether the energy resource demand exceeds available energy resource stations provided at the location; and

instructing one or more vehicles having spare energy resources to contribute at least a portion of the spare energy resources to meet the energy resource demand exceeding the available energy resource stations; wherein at least a portion of the spare energy resources are transferred to one or more receiving vehicles.

14. The computer readable storage medium of claim 13 further comprising:

determining whether the energy resource demand exceeds available energy resource stations provided at the location and spare energy contributions provided by the one or more vehicles having spare energy resources; and

dispatching, by the processor, one or more mobile energy resource stations to the location to meet the energy resource demand exceeding the available energy resource stations and spare energy contributions provided by the one or more vehicles having spare energy resources.

15. The computer readable storage medium of claim 13 further comprising determining an occurrence of an event or large gathering based on the venue event information.

16. The computer readable storage medium of claim 13 further comprising:

estimating a number of vehicles traveling to the location; and

determining a state of charge for one or more receiving vehicles of the vehicles traveling to the location.

17. The computer readable storage medium of claim 16 wherein the one or more receiving vehicles are electric vehicles.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 6, 2018
From: RAYES, FREDDY V.; LEWIS, ALLAN K.; HARA, APRAL S.; VERMA, KUNAAL
To: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Reel/Frame 047697/0246 →
Continuity (1)
Related Publication 20200184576A1 · Jun 11, 2020