METHOD AND SYSTEM FOR CHARGING ELECTRIC VEHICLES IN AGGREGATION

• US 20140125280A1
• Filed: 11/05/2013
• Published: 05/08/2014
• Est. Priority Date: 11/05/2012
• Status: Active Grant

• Current Assignee: Tsinghua University
• Original Assignee: Tsinghua University
• Inventors: Sun, Hongbin, Guo, Qinglai, Zhang, Boming, Wu, Wenchuan, Li, Zhengshuo, Xin, Shujun
• Granted Patent: US 9,248,755 B2
• Time in Patent Office: Days
• US Class Current: 320/109
• CPC Class Codes: B60L 53/63 in response to network capacity
• CPC Class Codes: B60L 53/64 Optimising energy costs, e.g. responding to electricity rates
• 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

Method and system for charging electric vehicles in an aggregation is provided. The method includes: obtaining a plurality of first charge power curves of a plurality of electric vehicles in the aggregation; obtaining a coordinating information of each of the plurality of electric vehicles from the plurality of first charge power curves; obtaining a first feedback charge power curve of each of the plurality of electric vehicles from the coordinating information and a charging cost curve of each of the plurality of electric vehicles; judging whether the first feedback charge power curve is same with the first charge power curve of each of the plurality of electric vehicles; if yes, charging each of the plurality of electric vehicles in accordance with the first charge power curve.

Claims

1. A method for charging electric vehicles in an aggregation, comprising steps of:

S1, obtaining a plurality of first charge power curves of a plurality of electric vehicles in the aggregation;

S2, obtaining a coordinating information of each of the plurality of electric vehicles from the plurality of first charge power curves;

S3, obtaining a first feedback charge power curve of each of the plurality of electric vehicles from the coordinating information and a charging cost curve of each of the plurality of electric vehicles;

S4, judging whether the first feedback charge power curve is same with the first charge power curve of each of the plurality of electric vehicles;

S5, if yes, charging each of the plurality of electric vehicles in accordance with the first charge power curve;

S6, if no, obtaining an iterative step of each of the plurality of electric vehicles from the first feedback charge power curve and the first charge power curve;

S7, judging whether the iterative step is 0;

S8, if yes, charging each of the plurality of electric vehicles in accordance with the first charge power curve; and

S9, if no, obtaining a second charge power curve of each of the plurality of electric vehicles from the first feedback charge power curve, the iterative step and the first charge power curve, and repeating steps S2 to S9 in accordance with the second charge power curve.

2. The method according to claim 1, wherein step S2 comprises:

obtaining the coordinating information of each of the plurality of electric vehicles from the plurality of first charge power curves and a plurality of ideal charge power curves according to formula (1),

3. The method according to claim 2, wherein step S3 comprises:

obtaining a first optimal solution of a first quadratic programming according to formula (2), and the first optimal solution is the first feedback charge power curve of each of the plurality of electric vehicles,

4. The method according to claim 3, wherein step S6 comprises:

obtaining a second optimal solution of a second quadratic programming according to formula (3), and the second optimal solution is the iterative step of each of the plurality of electric vehicles,

5. The method according to claim 4, wherein obtaining the second charge power curve of each of the plurality of electric vehicles from the first feedback charge power curve, the iterative step and the charge power curve according to formula (4),

P_i^m=P_i^m-1+λ

_i^mΔ

P_i^m 

 

(4)

where P_i^m is the second charge power curve of the i-th electric vehicle.

6. The method according to any of claim 1, wherein the step S3 is performed in each of the plurality of electric vehicles.

7. A system for charging electric vehicles in an aggregation, comprising:

a master controller, configured to obtain a plurality of first charge power curves of a plurality of electric vehicles in the aggregation, and to obtain a coordinating information of each of the plurality of electric vehicles from the plurality of first charge power curves;

a plurality of sub-controllers, each sub-controller is installed in each of the plurality of electric vehicles, each sub-controllers is configured to obtain a first feedback charge power curve of each of the plurality of electric vehicles from the coordinating information and a charging cost curve of each of the plurality of electric vehicles;

the master controller is also configured to;

judge whether the first feedback charge power curve is same with the first charge power curve of each of the plurality of electric vehicles;

if yes, charge each of the plurality of electric vehicles in accordance with the first charge power curve;

if no, obtain an iterative step of each of the plurality of electric vehicles from the first feedback charge power curve and the first charge power curve;

judge whether the iterative step is 0;

if yes, charge each of the plurality of electric vehicles in accordance with the first charge power curve; and

if no, obtain a second charge power curve of each of the plurality of electric vehicles from the first feedback charge power curve, the iterative step and the first charge power curve.

8. The system according to claim 7, wherein the master controller is configured to:

obtain the coordinating information of each of the plurality of electric vehicles from the plurality of first charge power curves and a plurality of ideal charge power curves according to formula (1),

9. The system according to claim 8, wherein each sub-controller is configured to:

obtain a first optimal solution of a first quadratic programming according to formula (2), and the first optimal solution is the first feedback charge power curve of each of the plurality of electric vehicles,

10. The system according to claim 9, wherein each sub-controller is configured to:

obtain a second optimal solution of a second quadratic programming according to formula (3), and the second optimal solution is the iterative step of each of the plurality of electric vehicles,

11. The system according to claim 10, wherein each sub-controller is configured to obtain the second charge power curve of each of the plurality of electric vehicles from the first feedback charge power curve, the iterative step and the charge power curve according to formula (4),

P_i^m=P_i^m-1+λ

_i^mΔ

P_i^m 

 

(4)

where P_i^m is the second charge power curve of the i-th electric vehicle.

12. A non-transitory computer readable storage medium, comprising a computer program for executing steps of:

S1, obtaining a plurality of first charge power curves of a plurality of electric vehicles in the aggregation;

S2, obtaining a coordinating information of each of the plurality of electric vehicles from the plurality of first charge power curves;

S3, obtaining a first feedback charge power curve of each of the plurality of electric vehicles from the coordinating information and a charging cost curve of each of the plurality of electric vehicles;

S4, judging whether the first feedback charge power curve is same with the first charge power curve of each of the plurality of electric vehicles;

S5, if yes, charging each of the plurality of electric vehicles in accordance with the first charge power curve;

S6, if no, obtaining an iterative step of each of the plurality of electric vehicles from the first feedback charge power curve and the first charge power curve;

S7, judging whether the iterative step is 0;

S8, if yes, charging each of the plurality of electric vehicles in accordance with the first charge power curve; and

S9, if no, obtaining a second charge power curve of each of the plurality of electric vehicles from the first feedback charge power curve, the iterative step and the first charge power curve, and repeating steps S2 to S9 in accordance with the second charge power curve.