ELECTRIC VEHICLE POWER MANAGEMENT SYSTEMS

• US 20150202976A1
• Filed: 07/23/2014
• Published: 07/23/2015
• Est. Priority Date: 03/31/2009
• Status: Active Grant

• Current Assignee: Gridpoint (Twenty First Century Utilities LLC)
• Original Assignee: Gridpoint (Twenty First Century Utilities LLC)
• Inventors: Bridges, Seth W., Pollack, Seth B., Lafky, Joby, Davis, Jeremy, Axelrod, Zachary
• Granted Patent: US 9,283,862 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 53/18 Cables specially adapted for charging electric vehicles
• CPC Class Codes: B60L 53/305 Communication interfaces
• 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: 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 53/68 Off-site monitoring or control, e.g. remote control
• 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: H02J 2300/10 The dispersed energy generation being of fossil origin, e.g. diesel generators
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02J 7/00 Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
• 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

A system that enables power flow management for electrical devices, such as electric vehicles. Power flow managers can coordinate charging activities. Power flow decisions may be based on site-level information. Power flow management strategies may be optimized. Power spikes may be avoided by using safe failure modes. Generation stacks may be used for reducing cost. AGC commands are used to control power resources. Power regulation are apportioned to power resources, and power regulation ranges may be determined. Power flow strategies are implemented in response to changes in intermittent power flow. Locations of devices may be determined using network fingerprints. Power flow measurements are determined, and AC power flows are inferred from DC power flows. Network traffic consumption are minimized. Communication protocols are translated. Enhanced vehicle communications are provided that communicate to vehicle subsystems, that arbitrate smart charge points, and that use existing hardware, non-specific hardware, or control extensibility systems.

Claims

1. A method for managing power flow using safe failure modes in an electric vehicle charging network, comprising:

communicating a first charging behavior from a central flow controller to a plurality of electric vehicles;

controlling power flow between each of a plurality of charging stations and their corresponding electric vehicles according to the first charging behavior;

detecting a communications failure mode between the central flow controller and one or more of the plurality of electric vehicles;

controlling, in response to detecting the communications failure mode, power flow between each of a plurality of charging stations and their corresponding electric vehicles according to the second charging behavior during the period of time of the communications failure, wherein the second charging behavior is predictable and non-disruptive to a power circuit supplying power to the plurality of charging stations.

2. The method of claim 1, wherein the second charging behavior comprises:

maintaining the first charging behavior for a predefined period of time; and

transitioning to a predefined autonomous charging strategy after the predefined period of time.

3. The method of claim 1, wherein the second charging behavior comprises:

limiting the power flow to each of the plurality of electric vehicles to a value calculated to allow the plurality of electric vehicles to charge at combined maximum power draw of the electrical circuit supplying power to the plurality of charging stations.

4. The method of claim 1, wherein the second charging behavior comprises:

executing charging behavior state transitions for each of the plurality of electric vehicles, the charging state behavior state transitions occurring at random offset times after the detection of the failure mode.

5. The method of claim 1, wherein the second charging behavior comprises:

executing charging behavior state transitions for each of the plurality of electric vehicles, the charging behavior state transitions occurring at random offset times after the detection of the failure mode, wherein electric vehicles of the plurality of electric vehicles that are not being charged at the time of the detected failure mode wait a random amount of time before initiating charging, and wherein electric vehicles of the plurality of electric vehicles that are being charged at the time of the detected failure mode wait a random amount of time before terminating charging.

6. The method of claim 1, wherein the second charging behavior comprises:

controlling power flow of each of the plurality of electric vehicles detecting the failure mode according to a predefined power curve stored in each of the plurality of electric vehicles and in the central flow controller;

determining, by the flow controller, appropriate charging behaviors for each of the plurality of electric vehicles that are not experiencing a failure mode based on the predefined power curve stored in each of the plurality of electric vehicles that are experiencing a power failure mode; and

communicating the appropriate charging behaviors from the central flow controller to the plurality of electric vehicles that are not experiencing a power failure mode.

7. The method of claim 1, wherein the second charging behavior comprises:

predicting the connection and disconnection of other of the plurality of electric vehicles to and from the plurality of charging stations, and controlling power flow based on those predictions.

8. A computer program product for managing power flow using safe failure modes in an electric vehicle charging network, comprising:

a computer usable medium having computer readable program code embodied in the computer usable medium for causing an application program to execute on a computer system, the computer readable program code means comprising;

computer readable program code for communicating a first charging behavior from a central flow controller to a plurality of electric vehicles;

computer readable program code for controlling power flow between each of a plurality of charging stations and their corresponding electric vehicles according to the first charging behavior;

computer readable program code for detecting a communications failure mode between the central flow controller and the plurality of electric vehicles;

computer readable program code for controlling, in response to detecting the communications failure mode, power flow between each of a plurality of charging stations and their corresponding electric vehicles according to the second charging behavior during the period of time of the communications failure, wherein the second charging behavior is predictable and non-disruptive to a power circuit supplying power to the plurality of charging stations.

9. The computer program product of claim 8, wherein the computer readable program code for controlling power flow according to the second charging behavior comprises:

computer readable program code for maintaining the first charging behavior for a predefined period of time; and

computer readable program code for transitioning to a predefined autonomous charging strategy after the predefined period of time.

10. The computer program product of claim 8, wherein the computer readable program code for controlling power flow according to the second charging behavior comprises:

computer readable program code for limiting the power flow to each of the plurality of electric vehicles to a value calculated to allow the plurality of electric vehicles to charge at combined maximum power draw of the electrical circuit supplying power to the plurality of charging stations.

11. The computer program product of claim 8, wherein the computer readable program code for controlling power flow according to the second charging behavior comprises:

computer readable program code for executing charging behavior state transitions for each of the plurality of electric vehicles, the charging behavior state transitions occurring at random offset times after the detection of the failure mode.

12. The computer program product of claim 8, wherein the computer readable program code for controlling power flow according to the second charging behavior comprises:

computer readable program code for executing charging behavior state transitions for each of the plurality of electric vehicles, the charging behavior state transitions occurring at random offset times after the detection of the failure mode, wherein electric vehicles of the plurality of electric vehicles that are not being charged at the time of the detected failure mode wait a random amount of time before initiating charging, and wherein electric vehicles of the plurality of electric vehicles that are being charged at the time of the detected failure mode wait a random amount of time before terminating charging.

13. The computer program product of claim 8, further comprising:

computer readable program code for controlling power flow of each of the plurality of electric vehicles detecting the failure mode according to a predefined curve stored in each of the plurality of electric vehicles and in the central flow controller;

computer readable program code for determining appropriate charging behaviors for each of the plurality of electric vehicles that are not experiencing a failure mode based on the predefined power curve stored in each of the plurality of electric vehicles that are experiencing a power failure mode; and

computer readable program code for communicating the appropriate charging behaviors from the central flow controller to the plurality of electric vehicles that are not experiencing a power failure mode.

14. The computer program product of claim 8, wherein the computer readable program code for controlling power flow according to the second charging behavior comprises:

computer readable program code for predicting the connection and disconnection of other of the plurality of electric vehicles to and from the plurality of charging stations, and controlling power flow based on those predictions.

21. The system of claim 8, wherein the second charging behavior includes predicting the connection and disconnection of other of the plurality of electric vehicles to and from the plurality of charging stations, and controlling power flow based on those predictions.

15. A system for managing power flow using safe failure modes in an electric vehicle charging network, comprising:

a central power flow controller communicatively coupled to a plurality of electric vehicles, the central power flow controller communicating a first charging behavior to the plurality of electric vehicles,

each of the plurality of electric vehicles including;

a memory for storing a plurality of charging behaviors from the central flow controller;

a processor for controlling power flow between its associated electric vehicle and an associated charging station according to the first charging behavior of the plurality of charging behaviors received from the central flow controller; and

a communication interface for detecting a communications failure mode between the central flow controller and the electric vehicle,

wherein in response to detecting the communications failure mode, the processor controls power flow between the charging station and the electric vehicle according to the second charging behavior during the period of time of the communications failure, wherein the second charging behavior is predictable and non-disruptive to a power circuit supplying power to the plurality of charging stations.

16. The system of claim 15, wherein the second charging behavior comprises:

maintaining the first charging behavior for a predefined period of time; and

transitioning to a predefined autonomous charging strategy after the predefined period of time.

17. The system of claim 15 wherein the second charging behavior comprises:

limiting the power flow to each of the plurality of electric vehicles to a value calculated to allow the plurality of electric vehicles to charge at combined maximum power draw of the electrical circuit supplying power tot eh plurality of charging stations.

18. The system of claim 15, wherein the second charging behavior comprises:

executing charging behavior state transitions for each of the plurality of electric vehicles, the charging behavior state transitions occurring at random offset times after the detection of the failure mode.

19. The system of claim 15, wherein the second charging behavior comprises:

executing charging behavior state transitions for each of the plurality of electric vehicles, the charging behavior state transitions occurring at random offset times after the detection of the failure mode, wherein electric vehicles of the plurality of electric vehicles that are not being charged at the time of the detected failure mode wait a random amount of time before initiating charging, and wherein electric vehicles of the plurality of electric vehicles that are being charged at the time of the detected failure mode wait a random amount of time before terminating charging.

20. The system of claim 15, wherein the second charging behavior includes controlling power flow of each of the plurality of electric vehicles detecting the failure mode according to a predefined power curve stored in each of the plurality of electric vehicles and in the flow controller, and the flow controller determines appropriate charging behaviors for each of the plurality of electric vehicles that are not experiencing a failure mode based on the predefined power curve stored in each of the plurality of electric vehicles that are experiencing a power failure mode, and communicates the appropriate charging behaviors to the plurality of electric vehicles that are not experiencing a power failure mode.