Estimating a Departure Time for a Plug-in Electric Vehicle

• US 20170261331A1
• Filed: 03/09/2016
• Published: 09/14/2017
• Est. Priority Date: 03/09/2016
• Status: Active Grant

• Current Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Original Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Inventors: SHIMIZU, Takayuki, MURAKAMI, Kenichi, KUMITA, Kunihiko, OHNO, Tomoya
• Granted Patent: US 9,995,591 B2
• Time in Patent Office: Days
• CPC Class Codes: B60L 2240/80 Time limits
• CPC Class Codes: B60L 2260/58 Departure time prediction
• CPC Class Codes: B60L 53/14 Conductive energy transfer
• CPC Class Codes: B60L 53/63 in response to network capacity
• CPC Class Codes: B60L 53/665 Methods related to measuring, billing or payment
• CPC Class Codes: B60L 53/67 Controlling two or more charging stations
• CPC Class Codes: G01C 21/3469 Fuel consumption; Energy use; Emission aspects
• 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 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

The disclosure includes a system and method for determining a departure time for a Plug-in Electric Vehicle (“PEV”). The method may include analyzing power meter data to determine that a connector of a control device is coupled to an inlet of the PEV. The method may include charging a battery set of the PEV with electricity. The method may include determining a next day of a next journey for the PEV based on clock data provided by a clock. The clock data may describe time information describing a present day and a category of the next day. The method may include analyzing history data associated with the category of the next day to determine a habitual time associated with the category of the next day. The method may include estimating that a departure time for the next journey is substantially equal to the habitual time.

Claims

1. A method comprising:

analyzing, by a control device, power meter data to determine that a connector of the control device is coupled to an inlet of a Plug-in Electric Vehicle (“

PEV”

), wherein the connector being coupled to the inlet causes a charger of the PEV to be operable to charge a battery set included in the PEV with electricity and the power meter data describes one or more readings of a power meter that indicate whether the connector is coupled to the inlet;

charging the battery set with electricity via a power coupling formed by the connector being coupled to the inlet, wherein the charging occurs responsive to a determination that the connector is coupled to the inlet based on the analyzing of the power meter data;

retrieving clock data from a non-transitory memory, wherein the clock data describes time information associated with a present day when the connector of the control device is coupled to the inlet of the PEV;

determining a next day of a next journey for the PEV based on the clock data and a category of the next day;

retrieving history data associated with the category of the next day, wherein the history data describes a habitual time when the connector and the inlet are decoupled for a plurality of historical days within the category of the next day; and

estimating that a departure time for the next journey is substantially equal to the habitual time when the connector and the inlet are decoupled for the historical days within the category of the next day.

2. The method of claim 1, wherein the history data describes a historical pattern of times when the connector and the inlet were decoupled for historical days within the category of the next day and the habitual time is indicated by the historical pattern.

3. The method of claim 1, wherein the category of the next day is selected from a set of categories that includes:

Monday;

Tuesday;

Wednesday;

Thursday;

Friday;

Saturday; and

Sunday.

4. The method of claim 1, wherein the category of the next day is selected from a set of categories that includes:

Weekday; and

Weekend day.

5. The method of claim 1, wherein the category of the next day is selected from a set of categories that includes a list of holidays for a geographic region where the PEV is located so that if the next day is a specific holiday then the category selected from the set includes a plurality of historical days that occurred on the specific holiday.

6. The method of claim 5, wherein the clock data describes whether the next day is a holiday and an identifier for the specific holiday.

7. The method of claim 1, wherein the clock data describes a present day of a week.

8. The method of claim 1, wherein the power meter data describes one or more of the following:

an increased current that indicates that the connector is coupled to the inlet; and

an increased load that indicates that the connector is coupled to the inlet.

9. The method of claim 1, wherein coupling the connector to the inlet triggers a signature response that is detectable in electricity transmitted via the power coupling shared between the control device and the inlet, wherein the power coupling is monitored by the control device using the power meter that records the power meter data describing the electricity transmitted via the power coupling, and the signature response includes a unique electrical characteristic that is described by the power meter data and the control device determines that the connector of the control device is coupled to the inlet of the PEV based on identifying a presence of the signature response in the power meter data.

10. The method of claim 9, wherein the signature response includes a unique electrical characteristic of a charging circuit included in the PEV.

11. The method of claim 1, further comprising:

retrieving a charge schedule from the non-transitory memory, wherein the charge schedule describes a plurality of slots of time that are available for charging the battery set; and

selecting a time slot from the plurality of time slots based on the estimated departure time so that the selected time slot occurs prior to the estimated departure time.

12. The method of claim 11, further comprising:

determining that the connector is decoupled from the inlet based on the power meter data describing an electronical condition that is consistent with a decoupling;

receiving new clock data that describes a time when the connector was decoupled from the inlet and a category for the present day when the connector was decoupled from the inlet;

building new history data that describes the time and the category; and

storing the new history data in the non-transitory memory so that it is associated with other historical days that have the same category.

13. The method of claim 1, further comprising:

retrieving a charge schedule and Time-of-Use data (“

TOU data”

) from the non-transitory memory, wherein the charge schedule describes a plurality of slots of time that are available for charging the battery set and the TOU data describes a plurality of future time periods and one or more prices for electricity during each of the plurality of future time periods; and

selecting a time slot from the plurality of time slots based on the estimated departure time and the TOU data so that the selected time slot occurs prior to the estimated departure time and is optimized to charge the battery set at a substantially minimum price.

14. The method of claim 1, further comprising:

identifying a route for the next journey;

determining an amount of charge needed in the battery set for the PEV to complete the route;

retrieving a charge schedule and Time-of-Use data (“

TOU data”

) from the non-transitory memory, wherein the charge schedule describes a plurality of slots of time that are available for charging the battery set and the TOU data describes a plurality of future time periods and one or more prices for electricity during each of the plurality of future time periods; and

selecting one or more time slots from the plurality of time slots based on the estimated departure time, the TOU data and the amount of charge needed in the battery set, wherein the one or more time slots are selected so that, at the departure time and for a substantially minimized price, the battery set will store at a minimum the amount of charge needed in the battery set for the PEV to complete the route.

15. A computer program product comprising a non-transitory computer-usable medium including a computer-readable program, wherein the computer-readable program when executed on a computer causes the computer to:

analyze, by a processor of the computer, power meter data to determine that a connector of a control device is coupled to an inlet of a Plug-in Electric Vehicle (“

PEV”

), wherein the connector being coupled to the inlet causes a charger of the PEV to be operable to charge a battery set included in the PEV with electricity and the power meter data describes one or more readings of a power meter that indicate whether the connector is coupled to the inlet;

charge the battery set with electricity via a power coupling formed by the connector being coupled to the inlet, wherein the charging occurs responsive to a determination that the connector is coupled to the inlet based on the analysis of the power meter data;

retrieve clock data from a non-transitory memory, wherein the clock data describes time information associated with a present day when the connector of the control device is coupled to the inlet of the PEV;

determine a next day of a next journey for the PEV based on the clock data and a category of the next day;

retrieve history data associated with the category of the next day, wherein the history data describes a habitual time when the connector and the inlet are decoupled for a plurality of historical days within the category of the next day; and

estimate that a departure time for the next journey is substantially equal to the habitual time when the connector and the inlet are decoupled for the historical days within the category of the next day.

16. The computer program product of claim 15, the history data describes a historical pattern of times when the connector and the inlet were decoupled for historical days within the category of the next day and the habitual time is indicated by the historical pattern.

17. The computer program product of claim 15, wherein the computer-readable program when executed on the computer further causes the computer to:

retrieve a charge schedule from the memory, wherein the charge schedule describes a plurality of slots of time that are available for charging the battery set; and

select a time slot from the plurality of time slots based on the estimated departure time so that the selected time slot occurs prior to the estimated departure time.

18. The computer program product of claim 15, wherein the computer-readable program when executed on the computer further causes the computer to:

retrieve a charge schedule and Time-of-Use data (“

TOU data”

) from the memory, wherein the charge schedule describes a plurality of slots of time that are available for charging the battery set and the TOU data describes a plurality of future time periods and one or more prices for electricity during each of the plurality of future time periods; and

select a time slot from the plurality of time slots based on the estimated departure time and the TOU data so that the selected time slot occurs prior to the estimated departure time and is optimized to charge the battery set at a substantially minimum price.

19. The computer program product of claim 15, wherein the computer-readable program when executed on the computer further causes the computer to:

identify a route for the next journey;

determine an amount of charge needed in the battery set for the PEV to complete the route;

retrieve a charge schedule and Time-of-Use data (“

TOU data”

) from the memory, wherein the charge schedule describes a plurality of slots of time that are available for charging the battery set and the TOU data describes a plurality of future time periods and one or more prices for electricity during each of the plurality of future time periods; and

selecting one or more time slots from the plurality of time slots based on the estimated departure time, the TOU data and the amount of charge needed in the battery set, wherein the one or more time slots are selected so that, at the departure time and for a substantially minimized price, the battery set will store at a minimum the amount of charge needed in the battery set for the PEV to complete the route.

20. A system comprising:

a Plug-in Electric Vehicle (“

PEV”

) coupled to a control device;

wherein the PEV includes a battery set operable to be charged by the control device, wherein the control device includes a monitor module that includes computer-readable code that, when executed by a processor, causes the processor to perform steps comprising;

analyzing power meter data to determine that a connector of the control device is coupled to an inlet of the PEV, wherein the connector being coupled to the inlet creates a power coupling that causes a charger of the PEV to be operable to charge a battery set included in the PEV with electricity provided by the control device via the power coupling, wherein the power meter data describes one or more readings of a power meter that indicate whether the connector is coupled to the inlet;

charging the battery set with electricity;

determining a next day of a next journey for the PEV based on clock data provided by a clock, wherein the clock data describes time information associated with a present day and a category of a next day occurring after the present day;

analyzing history data associated with the category of the next day to determine a habitual time associated with the category of the next day, wherein the history data describes a historical pattern of times when the connector and the inlet were decoupled for a plurality of historical days within the category of the next day and the habitual time is indicated by the historical pattern; and

estimating that a departure time for the next journey is substantially equal to the habitual time.

21. A method comprising:

determining on a first day that a connector of a control device is decoupled from an inlet of a Plug-in Electric Vehicle (“

PEV”

), wherein the control device controls access to an electricity source, the connector transmits electricity to the inlet when coupled to the inlet and the inlet transmits the electricity to a charger that charges a battery set included in a battery system of the PEV;

building history data that describes a decoupling time when the connector was decoupled from the inlet;

determining that a second day is similar to the first day based on the first day and the second day occurring on a similar day of a week, wherein the second day occurs subsequent to the first day; and

determining, by the control device, that a departure time for the PEV on the second day is substantially equal to the decoupling time described by the history data.