Method and system for controlling energy demand of vehicles on a network

• US 8,948,940 B2
• Filed: 01/07/2014
• Issued: 02/03/2015
• Est. Priority Date: 05/06/2013
• Status: Active Grant

• Current Assignee: GE Global Sourcing LLC (Westinghouse Air Brake Technologies Corporation)
• Original Assignee: General Electric Company
• Inventors: Schoonmaker, William Cherrick, Eldredge, David Allen, Cooper, Jared Klineman, Mudiam, Vinaykanth Venkatasubba
• Primary Examiner(s): Tarcza, Thomas
• Assistant Examiner(s): ALHARBI, ADAM MOHAMED
• Application Number:
  US14/148,833
• Publication Number:
  US 20140330460A1
• Time in Patent Office: 392 Days
• Field of Search: None
• US Class Current: 701/19
• CPC Class Codes: B60L 9/00 Electric propulsion with power supply external to the vehicle electric propulsion for monorail vehicles, suspension vehicles or rack railways B60L13/00; in combination with batteries or fuel cells within the vehicle B60L50/53
• CPC Class Codes: B61C 17/12 Control gear; Arrangements for controlling locomotives from remote points in the train or when operating in multiple units control from points outside the train B61L3/00; fluid-actuated telemotors, servomotors F15B; control devices in general G05
• CPC Class Codes: Y02T 30/00 Transportation of goods or passengers via railways, e.g. energy recovery or reducing air resistance

Abstract

A method includes monitoring an available amount of electrical energy on an electrical power grid for powering one or more loads at one time. The available amount of electrical energy represents an amount of electrical energy that may be consumed at one time without exceeding a grid capacity. The method also includes monitoring an electrical energy demand of plural electric vehicles traveling on a network of routes that includes one or more conductive pathways extending along the routes for delivering the electrical energy from the electrical power grid to the electric vehicles. The method further includes controlling movements of the electric vehicles such that the electrical energy demand of the electric vehicles does not exceed the available amount of electrical energy on the electrical power grid.

Claims

1. A method comprising:

monitoring an available amount of electrical energy on an electrical power grid for powering one or more loads at one time, the available amount of electrical energy representing an amount of electrical energy that may be consumed at one time without exceeding a grid capacity;

monitoring an electrical energy demand of plural electric vehicles traveling on a network of routes that includes one or more conductive pathways extending along the routes for delivering the electrical energy from the electrical power grid to the electric vehicles; and

controlling movements of the electric vehicles such that the electrical energy demand of the electric vehicles does not exceed the available amount of electrical energy on the electrical power grid;

wherein monitoring the electrical energy demand comprises monitoring energy usage plans of the respective electric vehicles, the energy usage plans detailing the electrical energy demand along the routes traveled by the respective electric vehicles, and determining a projected energy demand at a future time by totaling the electrical energy demand from the energy usage plans at the future time; and

wherein controlling movements of the electric vehicles comprises modifying the energy usage plans based on at least one of a trip re-plan, an addition of another electric vehicle traveling on the network, or a projected energy demand that exceeds the available amount of electrical energy at a future time, and communicating the energy usage plans that are modified to the electric vehicles traveling on the network.

2. The method of claim 1, wherein the energy usage plans provide instructions for at least one of route taken, time schedule, vehicle makeup, or movement characteristics to be implemented by the electric vehicles traveling on the network.

3. The method of claim 1, wherein controlling movements of the electric vehicles comprises allocating to the electric vehicles traveling on the network vehicle-specific maximum amounts of electrical energy that can be demanded from the electrical power grid by the respective electric vehicles.

4. The method of claim 3, wherein the electric vehicles produce energy usage plans for the routes traveled by the respective electric vehicles based on the maximum amounts of electrical energy allocated to the respective electric vehicles.

5. The method of claim 1, wherein monitoring the available amount of electrical energy comprises monitoring changes in the available amount of electrical energy on the electrical power grid with respect to time.

6. The method of claim 1, wherein monitoring the available amount of electrical energy comprises monitoring the available amount of electrical energy on a section of the electrical power grid, and the movements of the electric vehicles traveling on a sub-network of routes powered by the section of the electrical power grid are controlled such that the electrical energy demand does not exceed the available amount of electrical energy on the section.

7. The method of claim 1, wherein controlling the movements of the electric vehicles comprises creating a network energy consumption plan, the network energy consumption plan allocating energy consumption parameters to the electric vehicles traveling on the network to prevent the electric vehicles from exceeding the available amount of electrical energy on the electrical power grid.

8. A network planner system comprising:

a grid monitoring device configured to monitor an available amount of electrical energy on an electrical power grid for powering one or more loads at one time, the available amount of electrical energy representing an amount of electrical energy that may be consumed at one time without exceeding a grid capacity, the electrical power grid configured to transmit electrical energy through one or more conductive pathways extending along a network of routes over which plural electric vehicles travel for delivery to the electric vehicles to power the electric vehicles, the electric vehicles having on-board trip planner systems; and

one or more processors configured to communicate with the grid monitoring device and the trip planner systems on the electric vehicles to control movements of the electric vehicles such that an electrical energy demand of the electric vehicles does not exceed the available amount of electrical energy on the electrical power grid;

wherein the one or more processors are configured to receive from the trip planner systems vehicle-specific energy usage plans, created by the trip planner systems, that detail the vehicle-specific energy demands along the routes traveled by the respective electric vehicles.

9. The network planner system of claim 8, wherein the one or more processors are configured to create a network energy consumption plan that allocates vehicle-specific maximum amounts of electrical energy that can be demanded by the respective electric vehicles traveling on the network to prevent the electrical energy demand of the electric vehicles from exceeding the available amount of electrical energy on the electrical power grid.

10. The network planner system of claim 8, wherein the one or more processors are configured to create a network energy consumption plan that modifies at least one of route, time schedule, vehicle makeup, or movement characteristics of one or more of the electric vehicles traveling on the network to prevent the electrical energy demand of the electric vehicles from exceeding the available amount of electrical energy on the electrical power grid.

11. The network planner system of claim 10, wherein the movement characteristics comprise at least one of speed, acceleration, location, direction of travel, use of regenerative braking to supply electrical energy to the electrical power grid, or use of alternative energy sources other than electrical energy drawn from the electrical power grid for immediate consumption.

12. The network planner system of claim 10, wherein the one or more electric vehicles that receive modifications to the at least one of route, time schedule, vehicle makeup, or movement characteristics implement the modifications autonomously.

13. The network planner system of claim 8, wherein the one or more processors are configured to modify one or more of the energy usage plans based on at least one of a trip re-plan of one or more of the electric vehicles traveling on the network, an addition of another electric vehicle traveling on the network, or a projected energy demand of the electric vehicles at a future time that exceeds the available amount of electrical energy at the future time.

14. The network planner system of claim 8, wherein the one or more processors are configured to receive, from the trip planner systems on the electric vehicles, at least one of energy usage plans for proposed routes, current energy demands, current operating characteristics, or current route characteristics of respective electric vehicles.

15. The network planner system of claim 8, wherein the electric vehicles are rail vehicles, and the routes are tracks.

16. The network planner system of claim 8, wherein the available amount of electrical energy on the electrical power grid for powering one or more loads is less during peak energy usage times than during non-peak energy usage times.

17. A network planner system comprising:

a grid monitoring device configured to monitor an available amount of electrical energy on an electrical power grid for powering one or more loads at one time, the available amount of electrical energy representing an amount of electrical energy that may be consumed at one time without exceeding a grid capacity;

an energy demand monitoring device configured to monitor an electrical energy demand of plural electric vehicles traveling on a network of routes that includes one or more conductive pathways extending along the routes for delivering the electrical energy from the electrical power grid to the electric vehicles to power the electric vehicles; and

one or more processors configured to control movements of the electric vehicles such that the electrical energy demand of the electric vehicles does not exceed the available amount of electrical energy on the electrical power grid, wherein the one or more processors are configured to control the movements of the electric vehicles by modifying energy usage plans submitted by the electric vehicles traveling on the network.