SYSTEMS AND METHODS FOR ELECTRIC VEHICLE MOBILITY MODELING

• US 20130179135A1
• Filed: 01/10/2012
• Published: 07/11/2013
• Est. Priority Date: 01/10/2012
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Kang, Taehyen
• Granted Patent: US 10,023,062 B2
• Time in Patent Office: Days
• US Class Current: 703/8
• CPC Class Codes: B60L 2240/62 Vehicle position
• CPC Class Codes: B60L 2240/72 Charging station selection relying on external data
• CPC Class Codes: B60L 53/63 in response to network capacity
• 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: 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: 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]

Abstract

A device includes a processor configured to execute one or more instructions stored in a memory to receive an electrical vehicle (EV) location profile having information regarding movement of an EV between a first and a second charging location of an electrical network. The processor is also configured to apply an EV mobility model to the EV location profile to determine an optimized schedule for the EV to charge or discharge a storage cell of the EV at the first or second charging locations during a scheduling period. The EV mobility model comprises constraints that describe interactions of the EV with the electrical network.

Claims

1. A device, comprising:

a processor configured to execute one or more instructions stored in a memory to;

receive an electrical vehicle (EV) location profile comprising information regarding movement of an EV between a first and a second charging location of an electrical network; and

apply an EV mobility model to the EV location profile to determine an optimized schedule for the EV to charge or discharge a storage cell of the EV at the first or second charging locations during a scheduling period, wherein the EV mobility model comprises constraints that describe interactions of the EV with the electrical network.

2. The device of claim 1, wherein the constraints comprise a stored energy constraint, an EV daily energy constraint, a power capacity constraint, a location power constraint, or any combination thereof.

3. The device of claim 2, wherein the stored energy constraint defines a minimum energy storage limit and a maximum energy storage limit of the EV, and wherein the power capacity constraint defines a minimum power injection or consumption limit and a maximum power injection or consumption limit of the EV.

4. The device of claim 2, wherein the stored energy constraint defines a stored energy of the EV using a previous stored energy of the EV, a charging or discharging efficiency of the EV, a time interval for charging or discharging the EV, an amount of energy consumed in moving the EV the between the first and second charging locations, or any combination thereof.

5. The device of claim 2, wherein the EV daily energy constraint comprises final stored energy of the EV at the end of the scheduling period.

6. The device of claim 5, wherein the final stored energy of the EV is based, at least in part, on a value provided by an operator of the EV.

7. The device of claim 2, wherein the location power constraint is defined such that the EV can charge or discharge the storage cell of the EV at the first charging location only when the EV is physically located at the first location, and the EV can charge or discharge the storage cell of the EV at the second location only when the EV is physically located at the second charging location.

8. The device of claim 1, wherein the device comprises a network interface configured to receive the EV location profile from a second processor, from the EV, or any combination thereof.

9. The device of claim 1, wherein the EV location profile comprises a position for the first and second charging locations, a distance between the first and second charging locations, a travel time between the first and second charging locations for the EV, global positioning system (GPS) data correlating to the movement of the EV between the first and second charging locations, or any combination thereof.

10. The device of claim 1, where the optimized schedule comprises a schedule for the EV to receive or provide power at the first or second charging locations that minimizes power costs based, at least in part, on a cost of power at a time of day.

11. The device of claim 1, where the optimized schedule comprises a schedule for the EV to receive or provide power at the first or second charging locations that minimizes power transmission losses.

12. A method, comprising:

applying, via a processor, an electrical vehicle (EV) mobility model to a received EV location profile, wherein the location profile comprises positions of a first charging location and a second charging location of an electrical network, a travel distance, and a travel time for an EV to move between the first and second charging locations, and wherein the EV mobility model comprises constraints that define interactions of the EV with the electrical network; and

generating, via the processor, an optimized schedule for the EV to charge or discharge a storage cell of the EV at the first or second charging locations.

13. The method of claim 12, wherein the optimized schedule comprises a schedule for the EV to charge or discharge a storage cell at the first or second charging locations that minimizes power costs, power transmission losses, or any combination thereof.

14. The method of claim 12, wherein the constraints comprise a stored energy constraint that defines a minimum energy storage limit of the EV and a maximum energy storage limit of the EV and a power capacity limit constraint that defines a minimum power injection or consumption limit and a maximum power injection or consumption limit of the EV.

15. The method of claim 12, wherein the constraints comprise a stored energy constraint defining a stored energy of the EV based, at least in part, on a previous stored energy of the EV, a charging or discharging efficiency of the EV, a time interval for either charging or discharging the EV, or any combination thereof.

16. The method of claim 12, wherein the constraints comprise an EV daily energy constraint defining a stored energy of the EV based, at least in part, on a previous stored energy of the EV, an amount of stored energy of the EV consumed in moving the EV the between the first and second charging locations, an amount of stored energy of the EV that is desired by the operator at the end of a scheduling period, or any combination thereof.

17. The method of claim 12, comprising transmitting the optimized schedule to a remote system for use when scheduling the charging or discharging of the storage cell of the EV.

18. A charging station device, comprising:

a charging interface configured to couple an electrical vehicle (EV) to an electrical network;

a network interface configured to receive a schedule for the electrical network to supply power to or receive power from a storage cell of the EV when it is coupled to the charging interface, wherein the schedule is generated by applying an EV mobility model to an EV location profile, and wherein the schedule minimizes power costs, power transmission losses, or both, in the electrical network; and

a processor configured to use the schedule to instruct the charging interface when to supply power to or receive power from the storage cell of the EV.

19. The charging station device of claim 18, wherein the EV location profile comprises positions of a plurality of charging locations, distances between the plurality of charging locations, travel times of the EV between the plurality of charging locations, global positioning system (GPS) data correlating to the movement of the EV between the plurality of charging locations, or any combination thereof.

20. The charging station device of claim 18, wherein the EV mobility model comprises constraints that describe interactions of the EV with the electrical network, wherein the constraints comprise a stored energy constraint, an EV daily energy constraint, a power capacity constraint, a location power constraint, or any combination thereof.