Event Control Schedule Management

• US 20140006137A1
• Filed: 06/28/2012
• Published: 01/02/2014
• Est. Priority Date: 06/28/2012
• Status: Abandoned Application

• Current Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Original Assignee: Toyota Infotechnology Center Co., Ltd. (Toyota Motor Corporation), Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Inventors: Melen, Roger, Kumita, Kunihiko
• Application Number:
  US13/536,729
• Publication Number:
  US 20140006137A1
• Time in Patent Office: Days
• US Class Current: 705/14.35
• CPC Class Codes: B60L 2240/34 Cabin temperature
• CPC Class Codes: B60L 2240/622 by satellite navigation
• CPC Class Codes: B60L 2240/70 Interactions with external data bases, e.g. traffic centres
• CPC Class Codes: B60L 2250/12 by confirmation, e.g. of the input
• CPC Class Codes: B60L 2250/14 by input of vehicle departure time
• CPC Class Codes: B60L 2250/16 by display
• CPC Class Codes: B60L 2250/18 by enquiring driving style
• CPC Class Codes: B60L 2260/58 Departure time prediction
• 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 53/665 Methods related to measuring, billing or payment
• CPC Class Codes: G06Q 10/1093 Calendar-based scheduling for persons or groups
• CPC Class Codes: H02J 7/00034 Charger exchanging data with an electronic device, i.e. telephone, whose internal battery is under charge
• CPC Class Codes: H02J 7/00712 the cycle being controlled or terminated in response to electric parameters
• 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 system and method for managing event control schedules is disclosed. The system includes a retrieval module, an estimation module, a plan module and a scheduling module. The retrieval module retrieves mobile system data associated with a mobile computer system and user profile data associated with a user of the mobile computer system. The estimation module estimates a synchronized start time of a future trip for the user based at least in part on one or more of the mobile system data and the user profile data. The plan module generates one or more provisioning plans for the mobile computer system based at least in part on the synchronized start time of the future trip and determines a preferred provisioning plan from the one or more provisioning plans. The scheduling module schedules to provision the mobile computer system based at least in part on the preferred provisioning plan.

Claims

1. A computer-implemented method for managing event control schedules for a mobile computer system, the method comprising:

retrieving mobile system data associated with the mobile computer system;

retrieving user profile data associated with a user of the mobile computer system;

estimating a synchronized start time of a future trip for the user based at least in part on one or more of the mobile system data and the user profile data;

generating one or more provisioning plans for the mobile computer system based at least in part on the synchronized start time of the future trip;

determining a preferred provisioning plan from the one or more provisioning plans; and

scheduling to provision the mobile computer system based at least in part on the preferred provisioning plan.

2. The method of claim 1, wherein each of the one or more provisioning plans includes one or more of a provisioning completion time, a provisioning priority and a provisioning status in the mobile computer system at the provisioning completion time.

3. The method of claim 1, further comprising:

generating reward data for the mobile computer system when charging a vehicle controlled by the mobile computer system based at least in part on the preferred provisioning plan.

4. The method of claim 1, wherein determining the preferred provisioning plan from the one or more provisioning plans comprises:

providing the one or more provisioning plans to the user;

receiving a response from the user; and

determining the preferred provisioning plan based at least in part on the received response.

5. The method of claim 1, wherein determining the preferred provisioning plan from the one or more provisioning plans comprises:

extracting preference data describing a provisioning preference for the mobile computer system from the mobile system data; and

determining the preferred provisioning plan from the one or more provisioning plans based at least in part on the preference data.

6. The method of claim 1, further comprising:

retrieving social network data associated with the user; and

determining the synchronized start time of the future trip further based on the social network data.

7. The method of claim 1, wherein the mobile system data includes one or more of provisioning configuration data for the mobile computer system, location data describing a location of the mobile computer system, a local time, data describing a season, weather data and usage data for the mobile computer system.

8. The method of claim 1, wherein the user profile data includes one or more of calendar data describing a personal calendar of the user, list data describing a to-do list of the user, event data describing a preferred event list of the user and demographic data associated with the user.

9. A computer-implemented method for managing a charging schedule, the method comprising:

retrieving vehicle data associated with a vehicle;

retrieving user profile data associated with a user related to the vehicle;

estimating a synchronized start time of a future trip for the user based at least in part on one or more of the vehicle data and the user profile data;

generating one or more charging profiles for the vehicle based at least in part on the synchronized start time of the future trip;

determining a preferred charging profile from the one or more charging profiles; and

scheduling to charge the vehicle based at least in part on the preferred charging profile.

10. The method of claim 9, wherein each of the one or more charging profiles includes one or more of a charging completion time for the vehicle, a charging priority and a target power level of a battery in the vehicle at the charging completion time.

11. The method of claim 9, further comprising:

generating reward data for the vehicle when charging the vehicle based at least in part on the preferred charging profile.

12. The method of claim 9, wherein determining the preferred charging profile from the one or more charging profiles comprises:

providing one or more charging profiles to the user;

receiving a response from the user, and

determining the preferred charging profile based at least in part on the received response.

13. The method of claim 9, wherein determining the preferred charging profile from the one or more charging profiles comprises:

extracting preference data describing a charging preference for the vehicle from the vehicle data; and

determining the preferred charging profile from the one or more charging profiles based at least in part on the preference data.

14. The method of claim 9, further comprising:

retrieving social network data associated with the user; and

determining the synchronized start time of the future trip further based on the social network data.

15. The method of claim 9, wherein the vehicle data includes one or more of charging configuration data for the vehicle, location data describing a location of the vehicle, a local time and vehicle usage data.

16. The method of claim 9, wherein the user profile data includes one or more of calendar data describing a personal calendar of the user, list data describing a to-do list of the user, event data describing a preferred event list and demographic data associated with the user.

17. A computer-implemented method for managing a temperature control schedule, the method comprising:

retrieving vehicle data associated with a vehicle;

retrieving user profile data associated with a user related to the vehicle;

estimating a synchronized start time of a future trip for the user based at least in part on one or more of the vehicle data and the user profile data;

generating one or more temperature control profiles for the vehicle based at least in part on the synchronized start time of the future trip;

determining a preferred temperature control profile from the one or more temperature control profiles; and

scheduling to control a temperature in the vehicle based at least in part on the preferred temperature control profile.

18. The method of claim 17, wherein each of the one or more temperature control profiles includes one or more of a temperature control completion time for the vehicle, a temperature control priority and a target temperature in the vehicle at the temperature control completion time.

19. The method of claim 17, further comprising:

generating reward data for the vehicle when charging the vehicle based at least in part on the temperature control profile.

20. The method of claim 17, wherein determining the preferred temperature control profile from the one or more temperature control profiles comprises:

providing one or more temperature control profiles to the user;

receiving a response from the user; and

determining the preferred temperature control profile based at least in part on the received response.

21. The method of claim 17, wherein determining the preferred temperature control profile from the one or more temperature control profiles comprises:

extracting preference data describing a temperature control preference for the vehicle from the vehicle data; and

determining the preferred temperature control profile from the one or more temperature control profiles based at least in part on the preference data.

22. The method of claim 17, further comprising:

retrieving social network data associated with the user; and

determining the synchronized start time of the future trip further based on the social network data.

23. The method of claim 17, wherein the vehicle data includes one or more of temperature configuration data for the vehicle, location data describing a location of the vehicle, a local time and vehicle usage data.

24. The method of claim 17, wherein the user profile data includes one or more of calendar data describing a personal calendar of the user, list data describing a to-do list of the user, event data describing a preferred event list of the user and demographic data associated with the user.

25. A system for managing event control schedules for a mobile computer system, the system comprising:

a retrieval module for retrieving mobile system data associated with the mobile computer system, the retrieval module retrieving user profile data associated with a user of the mobile computer system;

an estimation module communicatively coupled to the retrieval module, the estimation module estimating a synchronized start time of a future trip for the user based at least in part on one or more of the mobile system data and the user profile data;

a plan module communicatively coupled to the estimation module, the plan module generating one or more provisioning plans for the mobile computer system based at least in part on the synchronized start time of the future trip, the plan module determining a preferred provisioning plan from the one or more provisioning plans; and

a scheduling module communicatively coupled to the plan module, the scheduling module scheduling to provision the mobile computer system based at least in part on the preferred provisioning plan.

26. The system of claim 25, wherein each of the one or more provisioning plans includes one or more of a provisioning completion time, a provisioning priority and a provisioning status in the mobile computer system at the provisioning completion time.

27. The system of claim 25, further comprising:

a reward module communicatively coupled to the plan module and the scheduling module, the reward module generating reward data for the mobile computer system when charging a vehicle controlled by the mobile computer system based at least in part on the preferred provisioning plan.

28. The system of claim 25, wherein the plan module is configured to:

provide the one or more provisioning plans to the user;

receive a response from the user; and

determine the preferred provisioning plan based at least in part on the received response.

29. The system of claim 25, wherein the plan module is configured to:

extract preference data describing a provisioning preference for the mobile computer system from the mobile system data; and

determine the preferred provisioning plan from the one or more provisioning plans based at least in part on the preference data.

30. The system of claim 25, wherein the retrieval module is further configured to retrieve social network data associated with the user, and the estimation module is further configured to determine the synchronized start time of the future trip further based on the social network data.

31. The system of claim 25, wherein the mobile system data includes one or more of provisioning configuration data for the mobile computer system, location data describing a location of the mobile computer system, a local time, data describing a season, weather data and usage data for the mobile computer system.

32. The system of claim 25, wherein the user profile data includes one or more of calendar data describing a personal calendar of the user, list data describing a to-do list of the user, event data describing a preferred event list of the user and demographic data associated with the user.

33. A system for managing a charging schedule, the system comprising:

a retrieval module for retrieving vehicle data associated with a vehicle, the retrieval module retrieving user profile data associated with a user related to the vehicle;

an estimation module communicatively coupled to the retrieval module, the estimation module estimating a synchronized start time of a future trip for the user based at least in part on one or more of the vehicle data and the user profile data;

a profile module communicatively coupled to the estimation module, the profile module generating one or more charging profiles for the vehicle based at least in part on the synchronized start time of the future trip, the profile module determining a preferred charging profile from the one or more charging profiles; and

a scheduling module communicatively coupled to the profile module, the scheduling module scheduling to charge the vehicle based at least in part on the preferred charging profile.

34. The system of claim 33, wherein each of the one or more charging profiles includes one or more of a charging completion time for the vehicle, a charging priority and a target power level of a battery in the vehicle at the charging completion time.

35. The system of claim 33, further comprising:

a reward module communicatively coupled to the profile module and the scheduling module, the reward module generating reward data for the vehicle when charging the vehicle based at least in part on the preferred charging profile.

36. The system of claim 33, wherein the profile module is configured to:

provide one or more charging profiles to the user;

receive a response from the user; and

determine the preferred charging profile based at least in part on the received response.

37. The system of claim 33, wherein the profile module is configured to:

extract preference data describing a charging preference for the vehicle from the vehicle data; and

determine the preferred charging profile from the one or more charging profiles based at least in part on the preference data.

38. The system of claim 33, wherein the retrieval module is further configured to retrieve social network data associated with the user, and the estimation module is further configured to determine the synchronized start time of the future trip further based on the social network data.

39. The system of claim 33, wherein the vehicle data includes one or more of charging configuration data for the vehicle, location data describing a location of the vehicle, a local time and vehicle usage data.

40. The system of claim 33, wherein the user profile data includes one or more of calendar data describing a personal calendar of the user, list data describing a to-do list of the user, event data describing a preferred event list and demographic data associated with the user.

41. A system for managing a temperature control schedule, the system comprising:

a retrieval module for retrieving vehicle data associated with a vehicle, the retrieval module retrieving user profile data associated with a user related to the vehicle;

an estimation module communicatively coupled to the retrieval module, the estimation module estimating a synchronized start time of a future trip for the user based at least in part on one or more of the vehicle data and the user profile data;

a profile module communicatively coupled to the estimation module, the profile module generating one or more temperature control profiles for the vehicle based at least in part on the synchronized start time of the future trip, the profile module determining a preferred temperature control profile from the one or more temperature control profiles; and

a scheduling module communicatively coupled to the profile module, the scheduling module scheduling to control a temperature in the vehicle based at least in part on the preferred temperature control profile.

42. The system of claim 41, wherein each of the one or more temperature control profiles includes one or more of a temperature control completion time for the vehicle, a temperature control priority and a target temperature in the vehicle at the temperature control completion time.

43. The system of claim 41, further comprising:

a reward module communicatively coupled to the profile module and the scheduling module, the reward module generating reward data for the vehicle when charging the vehicle based at least in part on the temperature control profile.

44. The system of claim 41, wherein the profile module is configured to:

provide one or more temperature control profiles to the user;

receive a response from the user; and

determine the preferred temperature control profile based at least in part on the received response.

45. The system of claim 41, wherein the profile module is configured to:

extract preference data describing a temperature control preference for the vehicle from the vehicle data; and

determine the preferred temperature control profile from the one or more temperature control profiles based at least in part on the preference data.

46. The system of claim 41, wherein the retrieval module is further configured to retrieve social network data associated with the user, and the estimation module is further configured to determine the synchronized start time of the future trip further based on the social network data.

47. The system of claim 41, wherein the vehicle data includes one or more of temperature configuration data for the vehicle, location data describing a location of the vehicle, a local time and vehicle usage data.

48. The system of claim 41, wherein the user profile data includes one or more of calendar data describing a personal calendar of the user, list data describing a to-do list of the user, event data describing a preferred event list of the user and demographic data associated with the user.

49. A computer program product comprising a non-transitory computer readable medium encoding instructions that, in response to execution by a computing device, cause the computing device to perform operations comprising:

retrieving mobile system data associated with the mobile computer system;

retrieving user profile data associated with a user of the mobile computer system;

estimating a synchronized start time of a future trip for the user based at least in part on one or more of the mobile system data and the user profile data;

generating one or more provisioning plans for the mobile computer system based at least in part on the synchronized start time of the future trip;

determining a preferred provisioning plan from the one or more provisioning plans; and

scheduling to provision the mobile computer system based at least in part on the preferred provisioning plan.

50. The computer program product of claim 49, wherein each of the one or more provisioning plans includes one or more of a provisioning completion time, a provisioning priority and a provisioning status in the mobile computer system at the provisioning completion time.

51. The computer program product of claim 49, wherein the instructions cause the computing device to perform operations further comprising:

generating reward data for the mobile computer system when charging a vehicle controlled by the mobile computer system based at least in part on the preferred provisioning plan.

52. The computer program product of claim 49, wherein determining the preferred provisioning plan from the one or more provisioning plans comprises:

providing the one or more provisioning plans to the user;

receiving a response from the user; and

determining the preferred provisioning plan based at least in part on the received response.

53. The computer program product of claim 49, wherein determining the preferred provisioning plan from the one or more provisioning plans comprises:

extracting preference data describing a provisioning preference for the mobile computer system from the mobile system data; and

determining the preferred provisioning plan from the one or more provisioning plans based at least in part on the preference data.

54. The computer program product of claim 49, wherein the instructions cause the computing device to perform operations further comprising:

retrieving social network data associated with the user; and

determining the synchronized start time of the future trip further based on the social network data.

55. The computer program product of claim 49, wherein the mobile system data includes one or more of provisioning configuration data for the mobile computer system, location data describing a location of the mobile computer system, a local time, data describing a season, weather data and usage data for the mobile computer system.

56. The computer program product of claim 49, wherein the user profile data includes one or more of calendar data describing a personal calendar of the user, list data describing a to-do list of the user, event data describing a preferred event list of the user and demographic data associated with the user.

57. A computer program product comprising a non-transitory computer readable medium encoding instructions that, in response to execution by a computing device, cause the computing device to perform operations comprising:

retrieving vehicle data associated with a vehicle;

retrieving user profile data associated with a user related to the vehicle;

estimating a synchronized start time of a future trip for the user based at least in part on one or more of the vehicle data and the user profile data;

generating one or more charging profiles for the vehicle based at least in part on the synchronized start time of the future trip;

determining a preferred charging profile from the one or more charging profiles; and

scheduling to charge the vehicle based at least in part on the preferred charging profile.

58. The computer program product of claim 57, wherein each of the one or more charging profiles includes one or more of a charging completion time for the vehicle, a charging priority and a target power level of a battery in the vehicle at the charging completion time.

59. The computer program product of claim 57, wherein the instructions cause the computing device to perform operations further comprising:

generating reward data for the vehicle when charging the vehicle based at least in part on the preferred charging profile.

60. The computer program product of claim 57, wherein determining the preferred charging profile from the one or more charging profiles comprises:

providing one or more charging profiles to the user;

receiving a response from the user; and

determining the preferred charging profile based at least in part on the received response.

61. The computer program product of claim 57, wherein determining the preferred charging profile from the one or more charging profiles comprises:

extracting preference data describing a charging preference for the vehicle from the vehicle data; and

determining the preferred charging profile from the one or more charging profiles based at least in part on the preference data.

62. The computer program product of claim 57, wherein the instructions cause the computing device to perform operations further comprising:

retrieving social network data associated with the user; and

determining the synchronized start time of the future trip further based on the social network data.

63. The computer program product of claim 57, wherein the vehicle data includes one or more of charging configuration data for the vehicle, location data describing a location of the vehicle, a local time and vehicle usage data.

64. The computer program product of claim 57, wherein the user profile data includes one or more of calendar data describing a personal calendar of the user, list data describing a to-do list of the user, event data describing a preferred event list and demographic data associated with the user.

65. A computer program product comprising a non-transitory computer readable medium encoding instructions that, in response to execution by a computing device, cause the computing device to perform operations comprising:

retrieving vehicle data associated with a vehicle;

retrieving user profile data associated with a user related to the vehicle;

estimating a synchronized start time of a future trip for the user based at least in part on one or more of the vehicle data and the user profile data;

generating one or more temperature control profiles for the vehicle based at least in part on the synchronized start time of the future trip;

determining a preferred temperature control profile from the one or more temperature control profiles; and

scheduling to control a temperature in the vehicle based at least in part on the preferred temperature control profile.

66. The computer program product of claim 65, wherein each of the one or more temperature control profiles includes one or more of a temperature control completion time for the vehicle, a temperature control priority and a target temperature in the vehicle at the temperature control completion time.

67. The computer program product of claim 65, wherein the instructions cause the computing device to perform operations further comprising:

generating reward data for the vehicle when charging the vehicle based at least in part on the temperature control profile.

68. The computer program product of claim 65, wherein determining the preferred temperature control profile from the one or more temperature control profiles comprises:

providing one or more temperature control profiles to the user;

receiving a response from the user; and

determining the preferred temperature control profile based at least in part on the received response.

69. The computer program product of claim 65, wherein determining the preferred temperature control profile from the one or more temperature control profiles comprises:

extracting preference data describing a temperature control preference for the vehicle from the vehicle data; and

determining the preferred temperature control profile from the one or more temperature control profiles based at least in part on the preference data.

70. The computer program product of claim 65, wherein the instructions cause the computing device to perform operations further comprising:

retrieving social network data associated with the user; and

determining the synchronized start time of the future trip further based on the social network data.

71. The computer program product of claim 65, wherein the vehicle data includes one or more of temperature configuration data for the vehicle, location data describing a location of the vehicle, a local time and vehicle usage data.

72. The computer program product of claim 65, wherein the user profile data includes one or more of calendar data describing a personal calendar of the user, list data describing a to-do list of the user, event data describing a preferred event list of the user and demographic data associated with the user.