Vehicle power management utilizing operator schedule data

Patent metadata

Field	Value
Publication number	US-9739624-B2
Application number	US-201514977696-A
Country	US
Kind code	B2
Filing date	Dec 22, 2015
Priority date	Dec 22, 2015
Publication date	Aug 22, 2017
Grant date	Aug 22, 2017

Abstract

An electric-vehicle power management system including a processing hardware unit and multiple modules executable by the processing hardware unit. The modules include a calendar module configured to, by way of the processing hardware unit, obtain a user itinerary indicating multiple appointment locations to be visited by a user of an electric vehicle and associated times to visit the appointment locations. The modules also include a routing module configured to, by way of the processing hardware unit, determine optional routes connecting the appointment locations indicated by the itinerary, and a vehicle-energy module configured to, by way of the processing hardware unit, predict states of charge, or changes in state of charge, for the vehicle in connection with the optional routes, yielding state-of-charge predictions. The routing module determines selected routing based on the state-of-charge predictions from the vehicle-energy module. Analogous methods and computer-readable storage devices are also provided.

First claim

What is claimed is:

1. An electric-vehicle power management system comprising:
a processing hardware unit;
a calendar module configured to, by way of the processing hardware unit, obtain a user itinerary indicating multiple appointment locations to be visited by a user of an electric vehicle and associated times to visit the appointment locations;
a routing module configured to, by way of the processing hardware unit, determine optional routes connecting the appointment locations indicated by the user itinerary; and
a vehicle-energy module configured to, by way of the processing hardware unit, predict states of charge, or changes in state of charge, for the electric vehicle in connection with the optional routes, yielding state-of-charge predictions;
wherein the routing module determines selected routing, of the optional routes, based on the state-of-charge predictions from the vehicle-energy module; and
wherein determining the selected routing comprises consideration of at least one factor selected from a group consisting of:
expected weather conditions when the electric vehicle will be charging between an origin and a destination of the routing and how the weather conditions will affect the charging;
an established user setting controlling whether a faster or more-environmentally friendly route is preferred;
a vehicle setting controlling whether a faster or more-environmentally friendly route is preferred;
whether an optional vehicle function is expected to be used when the electric vehicle will be charging between an origin and a destination of the routing and how the optional vehicle function will affect the charging; and
a charging-function-related characteristic of the power station.

2. The system of claim 1 , wherein:
the selected routing leads to or includes in a routing path at least one power station at which the electric vehicle can be charged and/or discharged;
the system further comprises a plug-in-charger module configured to, by way of the processing hardware unit:
predict, based on an amount of time that the electric vehicle is expected to be at the power station, based on the itinerary, an amount of charging at the electric vehicle from power station; and
determine, based on the amount of time that the electric vehicle is expected to be at the power station, based on the itinerary, whether an opportunity exists to discharge power from the electric vehicle to the power station.

3. The system of claim 2 , wherein predicting the amount of charging at the electric vehicle from power station involves considering a charge fee associated with charging at the power station during a period in which the electric vehicle is expected to be plugged in to the power station.

4. The system of claim 2 , wherein determining whether the opportunity exists to discharge power from the electric vehicle to the power station involves considering at least one factor selected from a group consisting of:
whether the power station is configured to receive power from plugged-in vehicles; and
a discharge credit associated with discharging at the power station during a period in which the electric vehicle is expected to be plugged in to the power station.

5. The system of claim 1 , wherein determining the selected routing comprises determining a potential travel segment to be traversed using a mode other than the vehicle.

6. The system of claim 5 , wherein determining the selected routing comprises obtaining user approval for using the mode other than the electric vehicle for traversing the potential travel segment.

7. The system of claim 1 , wherein the vehicle-energy module is configured to, by way of the processing hardware unit, determine whether the electric vehicle will have sufficient state of charge for traversing the routing.

8. The system of claim 7 , wherein:
the vehicle-energy module is configured to, by way of the processing hardware unit, predict a cumulative change in state of charge for the electric vehicle over a period of time during which the selected routing would be traversed; and
determining whether the electric vehicle will have sufficient state of charge comprises comparing the cumulative change in state of charge to maximum change in state of charge possible for the electric vehicle.

9. The system of claim 7 , wherein the routing module is configured to, by way of the processing hardware unit, determine alternative routing in response to the vehicle-energy module determining that the electric vehicle would not have sufficient state of charge while traversing the routes.

10. The system of claim 9 , wherein determining the alternative routing comprising determining a potential travel segment to be traversed using a mode of travel other than the vehicle.

11. The system of claim 10 , wherein at least one module of the system is configured to, by way of the processing hardware unit, initiate, based on a time at which the user is expected to need to use the mode of travel, reservation for the user to use the mode of travel.

12. The system of claim 10 , wherein determining the alternative routing comprises obtaining user approval for using the mode other than the electric vehicle for traversing the potential travel segment.

13. The system of claim 1 , wherein the calendar module is configured to, by way of the processing hardware unit, determine whether calendar entries for the user itinerary are parsable and, if any entry is not parsable, perform at least one function selected from a group consisting of:
access context data to identify data that can be used to render the entry parsable;
access context data to obtain data that can be used to render the entry parsable; and
initiate communication with the user to obtain data that can be used to render the entry parsable.

14. The system of claim 1 , wherein:
the selected routing is an initially selected routing;
the calendar module is configured to, by way of the processing hardware unit, after the user has begun traversing the initially selected routing, determine that there is a deviation from the user itinerary or interruption in the selected routing; and
the routing module and the vehicle-energy module are configured to, by way of the processing hardware unit, in response to the deviation or interruption, determine satisfactory alternative routing.

15. The system of claim 1 , wherein:
the selected routing leads to or includes in a routing path at least one power station at which the electric vehicle can be charged and/or discharged; and
at least one module of the system is configured to, by way of the processing hardware unit, initiate reservation, based on a time at which the electric vehicle is expected to be at the power station, of a plug-in time slot at the power station.

16. An electric-vehicle power management system comprising:
a processing hardware unit;
a calendar module configured to, by way of the processing hardware unit, obtain a user itinerary indicating multiple appointment locations to be visited by a user of an electric vehicle and associated times to visit the appointment locations;
a routing module configured to, by way of the processing hardware unit, determine optional routes connecting the appointment locations indicated by the user itinerary; and
a vehicle-energy module configured to, by way of the processing hardware unit, predict states of charge, or changes in state of charge, for the electric vehicle in connection with the optional routes, yielding state-of-charge predictions;
wherein:
the routing module determines selected routing, of the optional routes, based on the sta

Assignees

• Gm Global Tech Operations Llc

Inventors

• Rajagopalan Sai S
• Smith Anthony L
• Thompson Nathan F
• Huang Xiaoyu

Classifications

• B60L11/1861

  Operations & Transport · mapped topic

• G01C21/3415 Primary

  Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents · CPC title

• B60L11/1816

  Operations & Transport · mapped topic

• G01C21/3469

  Fuel consumption; Energy use; Emission aspects · CPC title

• G01C21/3492

  employing speed data or traffic data, e.g. real-time or historical (traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968) · CPC title