CHARGING MANAGEMENT BASED ON DEMAND RESPONSE EVENTS

• US 20150283912A1
• Filed: 04/04/2014
• Published: 10/08/2015
• Est. Priority Date: 04/04/2014
• Status: Active Grant

• Current Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Original Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Inventors: SHIMIZU, Takayuki, YOKOYAMA, Akihisa, KAWAKUBO, Atsushi
• Granted Patent: US 9,682,637 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60L 2240/70 Interactions with external data bases, e.g. traffic centres
• CPC Class Codes: B60L 53/63 in response to network capacity
• CPC Class Codes: B60L 53/65 involving identification of vehicles or their battery types
• CPC Class Codes: B60L 53/665 Methods related to measuring, billing or payment
• CPC Class Codes: B60L 55/00 Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
• CPC Class Codes: B60L 58/13 Maintaining the SoC within a determined range
• CPC Class Codes: B60L 58/15 Preventing overcharging
• 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 30/12 Remote or cooperative charging
• 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 providing charging services to mobile client devices. The system includes a processor and a memory storing instructions that, when executed, cause the system to: estimate a departure time for a mobile client device; determine a target state of charge at the departure time for a battery system in the mobile client device; determine one or more available charging periods and one or more demand response event periods; determine one or more amounts of power to be discharged from the battery system during the one or more demand response event periods; determine one or more charging time slots within the one or more available charging periods based on the target state of charge and the one or more amounts of power to be discharged; and charge the battery system using the one or more charging time slots.

Claims

1. A computer-implemented method comprising:

estimating a departure time for a mobile client device associated with a user based on historical journey data associated with the user;

determining a target state of charge at the departure time for a battery system in the mobile client device;

determining one or more available charging periods and one or more demand response event periods based on demand response event data;

determining one or more amounts of power to be discharged from the battery system during the one or more demand response event periods;

determining one or more charging time slots within the one or more available charging periods based on the target state of charge at the departure time and the one or more amounts of power to be discharged during the one or more demand response event periods; and

charging the battery system using the one or more charging time slots.

2. The method of claim 1, wherein determining the one or more charging time slots comprises:

receiving power rate data;

determining a current state of charge of the battery system;

determining one or more event start times and one or more event end times associated with the one or more demand response event periods;

determining an available state zone based on the current state of charge, the target state of charge, and the one or more amounts of power to be discharged during the one or more demand response event periods;

determining a sequence of states satisfying the available state zone, the sequence of states including one or more start states of charge at the one or more event start times and one or more end states of charge at the one or more event end times for the battery system; and

determining the one or more charging time slots based on the power rate data, the current state of charge, the one or more start states of charge at the one or more event start times, the one or more end states of charge at the one or more event end times, and the target state of charge at the departure time.

3. The method of claim 2, wherein the sequence of states maximizes a total gain for the mobile client device.

4. The method of claim 3, wherein:

the total gain is equal to a discharging gain minus a charging cost;

the discharging gain includes a gain obtained from discharging the one or more amounts of power to a power system during the one or more demand response event periods; and

the charging cost includes a power cost incurred by charging the battery system during the one or more available charging periods, wherein a state of charge of the battery system at the departure time satisfies the target state of charge.

5. The method of claim 2, wherein the available state zone includes an upper bound and a lower bound.

6. The method of claim 1, wherein the mobile client device includes a vehicle.

7. The method of claim 1, further comprising:

receiving power rate data;

determining one or more discharging time slots in the one or more demand response event periods based on the power rate data and the one or more amounts of power to be discharged; and

discharging the battery system using the one or more discharging time slots.

8. 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:

estimate a departure time for a mobile client device associated with a user based on historical journey data associated with the user;

determine a target state of charge at the departure time for a battery system in the mobile client device;

determine one or more available charging periods and one or more demand response event periods based on demand response event data;

determine one or more amounts of power to be discharged from the battery system during the one or more demand response event periods;

determine one or more charging time slots within the one or more available charging periods based on the target state of charge at the departure time and the one or more amounts of power to be discharged during the one or more demand response event periods; and

charge the battery system using the one or more charging time slots.

9. The computer program product of claim 8, wherein determining the one or more charging time slots comprises:

receiving power rate data;

determining a current state of charge of the battery system;

determining one or more event start times and one or more event end times associated with the one or more demand response event periods;

determining an available state zone based on the current state of charge, the target state of charge, and the one or more amounts of power to be discharged during the one or more demand response event periods;

determining a sequence of states satisfying the available state zone, the sequence of states including one or more start states of charge at the one or more event start times and one or more end states of charge at the one or more event end times for the battery system; and

determining the one or more charging time slots based on the power rate data, the current state of charge, the one or more start states of charge at the one or more event start times, the one or more end states of charge at the one or more event end times, and the target state of charge at the departure time.

10. The computer program product of claim 9, wherein the sequence of states maximizes a total gain for the mobile client device.

11. The computer program product of claim 10, wherein:

the total gain is equal to a discharging gain minus a charging cost;

the discharging gain includes a gain obtained from discharging the one or more amounts of power to a power system during the one or more demand response event periods; and

the charging cost includes a power cost incurred by charging the battery system during the one or more available charging periods, wherein a state of charge of the battery system at the departure time satisfies the target state of charge.

12. The computer program product of claim 9, wherein the available state zone includes an upper bound and a lower bound.

13. The computer program product of claim 8, wherein the mobile client device includes a vehicle.

14. The computer program product of claim 8, wherein the computer-readable program when executed on the computer causes the computer to also:

receive power rate data;

determine one or more discharging time slots in the one or more demand response event periods based on the power rate data and the one or more amounts of power to be discharged; and

discharge the battery system using the one or more discharging time slots.

15. A system comprising:

a processor; and

a memory storing instructions that, when executed, cause the system to;

estimate a departure time for a mobile client device associated with a user based on historical journey data associated with the user;

determine a target state of charge at the departure time for a battery system in the mobile client device;

determine one or more available charging periods and one or more demand response event periods based on demand response event data;

determine one or more amounts of power to be discharged from the battery system during the one or more demand response event periods;

determine one or more charging time slots within the one or more available charging periods based on the target state of charge at the departure time and the one or more amounts of power to be discharged during the one or more demand response event periods; and

charge the battery system using the one or more charging time slots.

16. The system of claim 15, wherein the instructions cause the system to determine the one or more charging time slots by:

receiving power rate data;

determining a current state of charge of the battery system;

determining one or more event start times and one or more event end times associated with the one or more demand response event periods;

determining an available state zone based on the current state of charge, the target state of charge, and the one or more amounts of power to be discharged during the one or more demand response event periods;

determining a sequence of states satisfying the available state zone, the sequence of states including one or more start states of charge at the one or more event start times and one or more end states of charge at the one or more event end times for the battery system; and

determining the one or more charging time slots based on the power rate data, the current state of charge, the one or more start states of charge at the one or more event start times, the one or more end states of charge at the one or more event end times, and the target state of charge at the departure time.

17. The system of claim 16, wherein the sequence of states maximizes a total gain for the mobile client device.

18. The system of claim 17, wherein:

the total gain is equal to a discharging gain minus a charging cost;

the discharging gain includes a gain obtained from discharging the one or more amounts of power to a power system during the one or more demand response event periods; and

the charging cost includes a power cost incurred by charging the battery system during the one or more available charging periods, wherein a state of charge of the battery system at the departure time satisfies the target state of charge.

19. The system of claim 15, wherein the mobile client device includes a vehicle.

20. The system of claim 15, wherein the instructions cause the system to also:

receive power rate data;

determine one or more discharging time slots in the one or more demand response event periods based on the power rate data and the one or more amounts of power to be discharged; and

discharge the battery system using the one or more discharging time slots.