ELECTRICITY DEMAND PREDICTION

• US 20130103378A1
• Filed: 04/12/2012
• Published: 04/25/2013
• Est. Priority Date: 05/06/2011
• Status: Abandoned Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Tinnakornsrisuphap, Peerapol, Kuhn, Lukas D., Chen, Tao
• Application Number:
  US13/445,661
• Publication Number:
  US 20130103378A1
• Time in Patent Office: Days
• US Class Current: 703/18
• CPC Class Codes: B60L 15/2045 for optimising the use of energy
• CPC Class Codes: B60L 53/63 in response to network capacity
• CPC Class Codes: B60L 53/64 Optimising energy costs, e.g. responding to electricity rates
• CPC Class Codes: B60L 58/13 Maintaining the SoC within a determined range
• CPC Class Codes: G01C 21/3617 using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: H02J 2310/58 The condition being electrical
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02T 10/64 Electric machine technologies in electromobility
• 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 20/222 : Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 30/14 : Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

Abstract

Various arrangements for anticipating an electrical load are presented. A plurality of indications of locations of a vehicle may be received. A travel pattern of the vehicle based on the plurality of indications of locations of the vehicle may be determined. The travel pattern may indicate a destination and an expected travel time to arrive at the destination. A current location of the vehicle may be received. At least partially based on the current location of the vehicle, whether the vehicle is expected to conform to the travel pattern may be determined. An anticipated electrical load at the destination may be determined at least partially based on the travel pattern.

Claims

1. A method for anticipating an electrical load, the method comprising:

receiving, by a computer system, a plurality of indications of locations of a vehicle;

identifying, by the computer system, a travel pattern of the vehicle based on the plurality of indications of locations of the vehicle, wherein the travel pattern indicates;

a destination; and

an expected travel time to arrive at the destination;

receiving, by the computer system, a current location of the vehicle; and

identifying, by the computer system, an anticipated electrical load at the destination at least partially based on the travel pattern.

2. The method for anticipating the electrical load of claim 1, the method further comprising:

identifying, by the computer system, a decrease in an anticipated electrical load at the current location of the vehicle at least partially based on the vehicle departing from the current location.

3. The method for anticipating the electrical load of claim 1, the method further comprising:

at least partially based on the current location of the vehicle, determining, by the computer system, that the vehicle is expected to conform to the travel pattern.

4. The method for anticipating the electrical load of claim 1, the method further comprising:

modifying, by the computer system, electrical usage at least partially based on an anticipated arrival of the vehicle at the destination.

5. The method for anticipating the electrical load of claim 4, wherein modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination is further at least partially based on the expected travel time to arrive at the destination indicated by the travel pattern.

6. The method for anticipating the electrical load of claim 4, wherein:

the vehicle is a chargeable electric vehicle; and

modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination comprises;

allocating sufficient electrical capacity to at least partially charge the chargeable electric vehicle.

7. The method for anticipating the electrical load of claim 6, further comprising:

determining an identity of a person associated with the travel pattern, wherein modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination is at least partially based on the identity of the person.

8. The method for anticipating the electrical load of claim 4, wherein modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination comprises activating an electrical device before the anticipated arrival of the vehicle at the destination.

9. The method for anticipating the electrical load of claim 4, wherein modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination comprises modifying a charging schedule of a second vehicle.

10. The method for anticipating the electrical load of claim 9, wherein the charging schedule comprises a rate of charging.

11. The method for anticipating the electrical load of claim 9, wherein charging of the second vehicle occurs at a location different from the destination.

12. The method for anticipating the electrical load of claim 1, further comprising:

determining a plurality of locations comprising a current location of a mobile device associated with the vehicle, wherein;

the plurality of indications of locations are the plurality of locations of the mobile device associated with the vehicle, and

the current location of the vehicle is the current location of the mobile device.

13. The method for anticipating the electrical load of claim 4, wherein modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination comprises indicating that a power-generation source is to be activated.

14. A method for scheduling charging of an electric vehicle, the method comprising:

identifying, by a computer system, a charging budget;

receiving, by the computer system, a pricing rate for electricity;

using the charging budget, determining, by the computer system, to charge the electric vehicle at the pricing rate; and

transmitting, by the computer system, an indication to charge the electric vehicle to a remote computer system.

15. The method for scheduling charging of the electric vehicle of claim 14, the method comprising:

identifying, by the computer system, a current level of charge of the electric vehicle;

identifying, by the computer system, an anticipated destination;

identifying, by the computer system, an anticipated time of departure; and

determining, by the computer system, the charging budget using the anticipated destination, the current level of charge of the electric vehicle, and the anticipated destination.

16. The method for scheduling charging of the electric vehicle of claim 14, further comprising:

receiving, by the computer system, a budget parameter from a user of the electric vehicle, wherein the charging budget is created using the budget parameter.

17. A system for anticipating an electrical load, the system comprising:

a processor; and

a memory communicatively coupled with and readable by the processor and having stored therein processor-readable instructions which, when executed by the processor, cause the processor to;

receive a plurality of indications of locations of a vehicle;

identify a travel pattern of the vehicle based on the plurality of indications of locations of the vehicle, wherein the travel pattern indicates;

a destination; and

an expected travel time to arrive at the destination;

receive a current location of the vehicle; and

identify an anticipated electrical load at the destination at least partially based on the travel pattern.

18. The system for anticipating the electrical load of claim 17, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to:

identify a decrease in an anticipated electrical load at the current location of the vehicle at least partially based on the vehicle departing from the current location.

19. The system for anticipating the electrical load of claim 17, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to:

at least partially based on the current location of the vehicle, determine that the vehicle is expected to conform to the travel pattern.

20. The system for anticipating the electrical load of claim 17, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to:

cause electrical usage to be modified at least partially based on an anticipated arrival of the vehicle at the destination.

21. The system for anticipating the electrical load of claim 20, wherein the processor-readable instructions, which, when executed by the processor cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination is further at least partially based on the expected travel time to arrive at the destination indicated by the travel pattern.

22. The system for anticipating the electrical load of claim 20, wherein:

the vehicle is a chargeable electric vehicle; and

the processor-readable instructions, which, when executed by the processor cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination comprises processor-readable instructions, which, when executed by the processor, cause the processor to;

allocate sufficient electrical capacity to at least partially charge the chargeable electric vehicle.

23. The system for anticipating the electrical load of claim 22, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to:

determine an identity of a person associated with the travel pattern, wherein the processor-readable instructions, which, when executed by the processor, cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination is at least partially based on the identity of the person.

24. The system for anticipating the electrical load of claim 20, wherein the processor-readable instructions, which, when executed by the processor, cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination comprises processor-readable instructions, which, when executed by the processor, cause the processor to cause an electrical device to be activated before the anticipated arrival of the vehicle at the destination.

25. The system for anticipating the electrical load of claim 20, wherein the processor-readable instructions, which, when executed by the processor, cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination comprises processor-readable instructions, which, when executed by the processor, cause the processor to modify a charging schedule of a second vehicle.

26. The system for anticipating the electrical load of claim 25, wherein the charging schedule comprises a rate of charging.

27. The system for anticipating the electrical load of claim 25, wherein charging of the second vehicle occurs at a location different from the destination.

28. The system for anticipating the electrical load of claim 17, wherein:

the plurality of indications of locations are determined by a mobile device; and

the current location of the vehicle is based on the mobile device'"'"'s location.

29. The system for anticipating the electrical load of claim 20, wherein the processor-readable instructions, which, when executed by the processor, cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination comprises processor-readable instructions, which, when executed by the processor, cause the processor to indicate that a power-generation source is to be activated.

30. A system for scheduling charging an electric vehicle, the system comprising:

a processor; and

a memory communicatively coupled with and readable by the processor and having stored therein processor-readable instructions which, when executed by the processor, cause the processor to;

identify a charging budget;

receive a pricing rate for electricity;

using the charging budget, determine to charge the electric vehicle at the pricing rate; and

cause an indication to charge the electric vehicle to be transmitted to a remote computer system.

31. The system for scheduling charging of the electric vehicle of claim 30, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to:

identify a current level of charge of the electric vehicle;

identify an anticipated destination;

identify an anticipated time of departure; and

determine the charging budget using the anticipated destination, the current level of charge of the electric vehicle, and the anticipated destination.

32. The system for scheduling charging of the electric vehicle of claim 30, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to receive a budget parameter from a user of the electric vehicle, wherein the charging budget is created using the budget parameter.

33. A computer program product residing on a non-transitory processor-readable medium for anticipating an electrical load, the computer program product comprising processor-readable instructions configured to cause a processor to:

receive a plurality of indications of locations of a vehicle;

identify a travel pattern of the vehicle based on the plurality of indications of locations of the vehicle, wherein the travel pattern indicates;

a destination; and

an expected travel time to arrive at the destination;

receive a current location of the vehicle; and

identify an anticipated electrical load at the destination at least partially based on the travel pattern.

34. The computer program product for anticipating the electrical load of claim 33, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to:

identify a decrease in an anticipated electrical load at the current location of the vehicle at least partially based on the vehicle departing from the current location.

35. The computer program product for anticipating the electrical load of claim 33, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to:

at least partially based on the current location of the vehicle, determine that the vehicle is expected to conform to the travel pattern.

36. The computer program product for anticipating the electrical load of claim 33, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to:

cause electrical usage to be modified at least partially based on an anticipated arrival of the vehicle at the destination.

37. The computer program product for anticipating the electrical load of claim 36, wherein the processor-readable instructions, which, when executed by the processor cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination is further at least partially based on the expected travel time to arrive at the destination indicated by the travel pattern.

38. The computer program product for anticipating the electrical load of claim 36, wherein the processor-readable instructions, which, when executed by the processor, cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination comprises processor-readable instructions, which, when executed by the processor, cause the processor to cause an electrical device to be activated before the anticipated arrival of the vehicle at the destination.

39. The computer program product for anticipating the electrical load of claim 36, wherein:

the vehicle is a chargeable electric vehicle; and

the processor-readable instructions, which, when executed by the processor cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination comprises processor-readable instructions, which, when executed by the processor, cause the processor to;

allocate sufficient electrical capacity to at least partially charge the chargeable electric vehicle.

40. The computer program product for anticipating the electrical load of claim 36, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to:

determine an identity of a person associated with the travel pattern, wherein the processor-readable instructions, which, when executed by the processor, cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination is at least partially based on the identity of the person.

41. The computer program product for anticipating the electrical load of claim 36, wherein the processor-readable instructions, which, when executed by the processor, cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination comprises processor-readable instructions, which, when executed by the processor, cause the processor to modify a charging schedule of a second vehicle.

42. The computer program product for anticipating the electrical load of claim 41, wherein charging of the second vehicle occurs at a location different from the destination.

43. The computer program product for anticipating the electrical load of claim 33, wherein:

the plurality of indications of locations are determined by a mobile device; and

the current location of the vehicle is based on the mobile device'"'"'s location.

44. The computer program product for anticipating the electrical load of claim 36, wherein the processor-readable instructions, which, when executed by the processor, cause the processor to cause electrical usage to be modified at least partially based on the anticipated arrival of the vehicle at the destination comprises processor-readable instructions, which, when executed by the processor, cause the processor to indicate that a power-generation source is to be activated.

45. A computer program product residing on a non-transitory processor-readable medium for scheduling charging of an electric vehicle, the computer program product comprising processor-readable instructions configured to cause a processor to:

identify a charging budget;

receive a pricing rate for electricity;

using the charging budget, determine to charge the electric vehicle at the pricing rate; and

cause an indication to charge the electric vehicle to be transmitted to a remote computer system.

46. The computer program product for scheduling charging of the electric vehicle of claim 45, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to:

identify a current level of charge of the electric vehicle;

identify an anticipated destination;

identify an anticipated time of departure; and

determine the charging budget using the anticipated destination, the current level of charge of the electric vehicle, and the anticipated destination.

47. The computer program product for scheduling charging of the electric vehicle of claim 45, wherein the processor-readable instructions further comprise processor-readable instructions, which, when executed by the processor, cause the processor to receive a budget parameter from a user of the electric vehicle, wherein the charging budget is created using the budget parameter.

48. An apparatus for anticipating an electrical load, the apparatus comprising:

means for receiving a plurality of indications of locations of a vehicle;

means for identifying a travel pattern of the vehicle based on the plurality of indications of locations of the vehicle, wherein the travel pattern indicates;

a destination; and

an expected travel time to arrive at the destination;

means for receiving a current location of the vehicle; and

means for identifying an anticipated electrical load at the destination at least partially based on the travel pattern.

49. The apparatus for anticipating the electrical load of claim 48, the apparatus further comprising:

means to identify a decrease in an anticipated electrical load at the current location of the vehicle at least partially based on the vehicle departing from the current location.

50. The apparatus for anticipating the electrical load of claim 48, the apparatus further comprising:

means for determining that the vehicle is expected to conform to the travel pattern at least partially based on the current location of the vehicle.

51. The apparatus for anticipating the electrical load of claim 48, the apparatus further comprising:

means for modifying electrical usage at least partially based on an anticipated arrival of the vehicle at the destination.

52. The apparatus for anticipating the electrical load of claim 51, wherein the means for modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination is further at least partially based on the expected travel time to arrive at the destination indicated by the travel pattern.

53. The apparatus for anticipating the electrical load of claim 51, wherein:

the vehicle is a chargeable electric vehicle; and

the means for modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination comprises;

means for allocating sufficient electrical capacity to at least partially charge the chargeable electric vehicle.

54. The apparatus for anticipating the electrical load of claim 51, wherein the means for modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination comprises means for activating an electrical device before the anticipated arrival of the vehicle at the destination.

55. The apparatus for anticipating the electrical load of claim 51, further comprising:

means for determining an identity of a person associated with the travel pattern, wherein modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination is at least partially based on the identity of the person.

56. The apparatus for anticipating the electrical load of claim 54, wherein the means for modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination comprises means for modifying a charging schedule of a second vehicle.

57. The apparatus for anticipating the electrical load of claim 56, wherein the charging schedule comprises a rate of charging.

58. The apparatus for anticipating the electrical load of claim 56, wherein charging of the second vehicle occurs at a location different from the destination.

59. The apparatus for anticipating the electrical load of claim 48, wherein:

the plurality of indications of locations are determined by a mobile device; and

the current location of the vehicle is based on the mobile device'"'"'s location.

60. The apparatus for anticipating the electrical load of claim 51, wherein the means for modifying electrical usage at least partially based on the anticipated arrival of the vehicle at the destination comprises means for indicating that a power-generation source is to be activated.

61. An apparatus for scheduling charging of an electric vehicle, the apparatus comprising:

means for identifying a charging budget;

means for receiving a pricing rate for electricity;

means for determining to charge the electric vehicle at the pricing rate using the charging budget; and

means for transmitting an indication to charge the electric vehicle to a remote computer system.

62. The apparatus for scheduling charging of the electric vehicle of claim 61, the apparatus further comprising:

means for identifying a current level of charge of the electric vehicle;

means for identifying an anticipated destination;

means for identifying an anticipated time of departure; and

means for determining the charging budget using the anticipated destination, the current level of charge of the electric vehicle, and the anticipated destination.

63. The apparatus for scheduling charging of the electric vehicle of claim 61, further comprising:

means for receiving a budget parameter from a user of the electric vehicle, wherein the charging budget is created using the budget parameter.

64. A method for anticipating a decrease in an electrical load, the method comprising:

receiving, by a computer system, a current location of a vehicle;

determining, by the computer system, the vehicle is departing from the current location;

identifying, by the computer system, an anticipated decrease in the electrical load at least partially based on the vehicle departing from the current location.