METHOD AND SYSTEM FOR CHARGING A FLEET OF BATTERIES

• US 20120133337A1
• Filed: 11/30/2011
• Published: 05/31/2012
• Est. Priority Date: 11/30/2010
• Status: Abandoned Application

• Current Assignee: REstore NV (Centrica PLC)
• Original Assignee: REstore NV (Centrica PLC)
• Inventors: Rombouts, Jan-Willem, Gheerardyn, Jos, Mermans, Pieter-Jan
• Application Number:
  US13/307,082
• Publication Number:
  US 20120133337A1
• Time in Patent Office: Days
• US Class Current: 320/155
• CPC Class Codes: B60L 53/63 in response to network capacity
• CPC Class Codes: G06Q 20/145 Payments according to the detected use or quantity
• CPC Class Codes: G07F 15/005 dispensed for the electrical charging of vehicles electrical charging as such, B60L50/00
• CPC Class Codes: G07F 15/006 dispensed for the electrical charging of other devices than vehicles
• CPC Class Codes: H02J 2310/48 for electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/322 the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
• CPC Class Codes: H02J 7/0013 acting upon several batteries simultaneously or sequentially H02J7/1423 takes precedence
• CPC Class Codes: H02J 7/0069 Charging or discharging for charge maintenance, battery initiation or rejuvenation
• CPC Class Codes: H02J 7/0071 with a programmable schedule
• CPC Class Codes: H02J 7/04 Regulation of charging current or voltage
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02E 70/30 Systems combining energy storage with energy generation of non-fossil origin
• 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 20/222 : Demand response systems, e.g. load shedding, peak shaving
• 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

In a method for charging a fleet of batteries (110) from a power grid (100), a fleet charge schedule (301) is determined and thereafter individual battery charge schedules are dynamically optimized. The fleet charge schedule (301) for the entire fleet (110) is determined optimizing an energy portfolio balance of an energy portfolio manager. Thereafter, battery charge schedules for individual batteries (111, 112, 113, 114, 115, 116, 117, 118) in the fleet (110) are dynamically optimized such that the battery charge schedules in aggregation realize the fleet charge schedule (301). The battery charge schedules are dynamically optimized in consideration of at least technical specifications of assets in the battery fleet and user constraints of the battery users.

Claims

1. A method for charging a fleet of batteries (110) from a power grid (100),

CHARACTERISED IN THAT said method comprises:

determining a fleet charge schedule (301) for said fleet (110) thereby optimizing an energy portfolio balance of an energy portfolio manager; and

dynamically optimizing battery charge schedules for individual batteries (111, 112, 113, 114, 115, 116, 117, 118) in said fleet (110), said battery charge schedules in aggregation realizing said fleet charge schedule (301), and said battery charge schedules being optimized dynamically in consideration of at least technical specifications of assets and user constraints of battery users.

2. A method for charging a fleet of batteries (110) according to claim 1,

wherein said technical specifications of assets comprise information indicative for the deterioration of said batteries (111, 112, 113, 114, 115, 116, 117, 118).

3. A method for charging a fleet of batteries (110) according to claim 1,

wherein said technical specifications of assets comprise one or more of:

cell chemistry of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118);

capacity of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118);

capacity loss of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118);

lifetime of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118);

information indicative for the battery management system of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118);

type of charger of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118);

amount of charge cycles of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118);

load curve of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118) and

local current, voltage and/or power limits of said power grid (100).

4. A method for charging a fleet of batteries (110) according to claim 1,

wherein said user constraints comprise a desired state of charge at an expected unplug time of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118).

5. A method for charging a fleet of batteries (110) according to claim 1, said method further comprising:

regularly receiving state of charge information of said batteries (111, 112, 113, 114, 115, 116, 117, 118); and

dynamically optimizing said battery charge schedules for individual batteries (111, 112, 113, 114, 115, 116, 117, 118) in said fleet (110) in consideration of said state of charge information.

6. A method for charging a fleet of batteries (110) according to claim 1, said method further comprising:

collecting historical data on energy balancing demands and generating statistic information thereon, to thereby capture energy process momentums over time; and

determining said fleet charge schedule (301) for said fleet (110) in consideration of said statistic information.

7. A method for charging a fleet of batteries (110) according to claim 1, said method further comprising:

stochastically modeling user behavior for at least part of said fleet of batteries based on collected descriptive statistics of user behavior; and

dynamically optimizing said battery charge schedules for individual batteries (111, 112, 113, 114, 115, 116, 117, 118) in said fleet (110) in consideration of said stochastic modeled user behavior.

8. A method for charging a fleet of batteries (110) according to claim 7,

wherein said stochastic modeled user behavior comprises one or more of:

expected plug-in time of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118);

expected unplug time of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118);

expected state of charge at plug-in time of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118);

probability of a user constraint override;

—

expected state of health at plug-in time of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118);

expected charge duration of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118); and

expected location at plug-in time of one or more of said batteries (111, 112, 113, 114, 115, 116, 117, 118).

9. A method for charging a fleet of batteries according to claim 1, said method further comprising:

receiving price information for energy in said power grid; and

dynamically adapting said fleet charge schedule and said battery charge schedules in consideration of said price information.

10. A method for charging a fleet of batteries according to claim 1, wherein said fleet charge schedule is determined using an approximate dynamic program.

11. A method for charging a fleet of batteries according to claim 1, said fleet of batteries comprising:

batteries of electric vehicles; and

/or

batteries of hybrid electric vehicles; and

/or

second life and/or new stationary batteries.

12. Carrier with software program comprising instructions to perform the method of claim 1.