Hybrid Energy Power Management System And Method

• US 20080270023A1
• Filed: 04/25/2007
• Published: 10/30/2008
• Est. Priority Date: 04/25/2007
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Kumar, Ajith Kuttannair
• Granted Patent: US 7,715,958 B2
• Time in Patent Office: Days
• US Class Current: 701/207
• CPC Class Codes: B60L 15/2045 for optimising the use of energy
• CPC Class Codes: B60L 2200/26 Rail vehicles
• CPC Class Codes: B60L 50/15 with additional electric power supply with capacitors charged by engine-driven generators B60L50/40; with batteries charged by engine-driven generators B60L50/61
• CPC Class Codes: B60L 50/53 in combination with an external power supply, e.g. from overhead contact lines
• CPC Class Codes: Y02T 10/64 Electric machine technologies in electromobility
• 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: Y10S 903/903 having energy storing means, e.g. battery, capacitor

Abstract

An energy management system is provided for use with one of a plurality of hybrid energy diesel electric vehicles. The energy management system includes a position identification device to provide position information of one the plurality of vehicles at incremental positions along one of a plurality of routes. More particularly, the energy management system includes a database to store historical data of a traction and/or auxiliary energy demand for each vehicle at incremental positions along each route, and an energy management processor coupled to the position identification device and the database. The energy management system retrieves historical data of each vehicle at incremental positions along each route to estimate an anticipated traction and/or auxiliary energy demand of the one of a plurality of vehicle at each incremental position along one of a plurality of routes.

Claims

1. An energy management system for use with one of a plurality of hybrid energy diesel electric vehicles, each vehicle having an engine and power converter providing primary electric power, a traction bus coupled to the power converter for carrying the primary electric power, a traction motor connected to the traction bus, said traction motor having a motoring mode being responsive to the primary electric power for propelling said one of a plurality of vehicles on said one of a plurality of routes, said traction motor having a dynamic braking mode generating dynamic braking electrical energy on the traction bus, the energy management system comprising:

a device for providing one of position information and time information of said one of a plurality of vehicles at one of respective incremental positions and incremental times along said one of a plurality of routes;

a database for storing historical data of at least one of traction and auxiliary energy demand for each of the plurality of vehicles at each of said one of incremental positions and incremental times along each of the plurality of routes; and

an energy management processor coupled to said position identification device and said database for retrieving said historical data of each of said plurality of vehicles for each of said one of incremental positions and incremental times along said one of a plurality of routes to estimate at least one anticipated traction and auxiliary energy demand of said one of a plurality of vehicles at each of said incremental positions along said one of a plurality of routes.

2. The energy management system for use with one of a plurality of hybrid energy diesel electric vehicles according to claim 1, wherein said plurality of hybrid energy diesel electric vehicles comprises one of hybrid energy diesel electric off-highway vehicles, hybrid energy diesel marine vehicles, and hybrid energy diesel locomotives.

3. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 1, further comprising:

an energy storage system connected to the traction bus and being responsive to the energy management processor at each of said incremental positions along said one of a plurality of routes based upon said position information from said position identification device, said energy storage system for storing electrical energy generated by the traction motor based upon a storage parameter and supplying secondary electric power from the stored electrical energy to the traction bus to augment the primary electric power based upon a transfer parameter so to enhance a performance parameter of said one of a plurality of locomotives over said one of a plurality of routes;

wherein said device is a position identification device for providing position information of said one of a plurality of vehicles at respective incremental positions along said one of a plurality of routes;

and wherein said energy management processor utilizes at least one of said anticipated traction and auxiliary energy demand of said one of a plurality of locomotives at each of said incremental positions with a current status of said energy storage system at each of said incremental positions to estimate a storage and transfer parameter at each of incremental positions.

4. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 3, wherein said energy storage system supplies secondary electric power based upon said transfer parameter so to minimize a fuel efficiency of said one of a plurality of locomotives over said one of a plurality of routes.

5. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 4, wherein upon said energy management processor retrieving the at least one traction and auxiliary energy demand of each locomotive at each incremental location along each route, said energy management processor segregates the at least one traction and auxiliary energy demand values for the plurality of locomotives into a plurality of groups based upon a respective one of a fixed location and fixed time along each route.

6. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 5, wherein said energy management processor estimates at least one anticipated traction and auxiliary energy demand of said one of a plurality of locomotives at each of said one of a fixed location and fixed time along said one of a plurality of routes based upon each of said plurality of groups of said at least one traction and auxiliary energy demand values of the plurality of locomotives.

7. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 6, wherein said energy management processor determines said at least one anticipated traction and auxiliary energy demand of said one of plurality of locomotives at each of said one of a fixed location and fixed time based upon at least one operating characteristic of said one of a plurality of locomotives at each of said one of a fixed location and fixed time.

8. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 7, wherein said energy management processor derives a mathematical relationship between the at least one anticipated traction and auxiliary energy demand of said one of a plurality of locomotives at each of said one of a fixed location and fixed time and said at least one operating characteristic of said one of a plurality of locomotives.

9. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 7, wherein said energy management processor determines said at least one anticipated traction and auxiliary energy demand for said one of a plurality of locomotives at each of said one of a fixed location and fixed time based upon a statistical computation of said group of at least one traction and auxiliary energy demand values of said plurality of locomotives for said one of a fixed location and fixed time along each route.

10. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 9, wherein said statistical computation comprises one of an average, mean and range of said group of at least one traction and auxiliary energy demand values of said plurality of locomotives for said one of a fixed location and fixed time along each route.

11. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 10, wherein said energy management processor determines at least one traction and auxiliary energy demand curve based upon said statistical computation at each one of a fixed location and fixed time along said one of a plurality of routes.

12. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 6, wherein said energy management processor estimating said storage parameter and transfer parameter at each of said one of a fixed location and fixed time comprises determining said at least one anticipated traction and auxiliary energy demand of said one of a plurality of locomotives at each of said one of a fixed location and fixed time and monitoring a current status of said energy storage system at each of said one of a fixed location and fixed time.

13. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 12, wherein said estimating said storage parameter and transfer parameter comprises estimating a storage parameter at one of said fixed location and fixed time upon an upcoming at least one traction and auxiliary energy demand exceeding a maximum primary electric energy.

14. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 12, wherein said estimating said storage parameter and transfer parameter comprises estimating a transfer parameter at one of said fixed location and fixed time upon an upcoming dynamic braking mode region.

15. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 12, wherein said energy management processor continuously compares said estimated storage parameter and transfer parameter with an actual storage parameter and actual transfer parameter at each incremental position along said one of a plurality of routes, and wherein said energy management processor switches into a default mode such that a locomotive operator manually controls the storage and transfer of electrical energy to said energy storage system if said actual storage and transfer parameters and said estimated storage and transfer parameters differ by greater than a predetermined threshold at each of said incremental positions along said one of a plurality of routes.

16. An energy management method for use with one of a plurality of hybrid energy diesel electric vehicles, each vehicle having an engine and power converter providing primary electric power, a traction bus coupled to the power converter for carrying the primary electric power, a traction motor connected to the traction bus, said traction motor having a motoring mode being responsive to the primary electric power for propelling said one of a plurality of vehicles on said one of a plurality of routes, said traction motor having a dynamic braking mode generating dynamic braking electrical energy on the traction bus, the energy management method comprising:

storing historical data of at least one traction and auxiliary energy demand for each of the plurality of vehicles at each of said incremental positions along each of the plurality of routes in a database;

retrieving said historical data of each of said plurality of vehicles for each of said incremental positions along said one of a plurality of routes;

providing position information of said one of a plurality of vehicles at incremental positions along said one of a plurality of routes; and

estimating an at least one anticipated traction and auxiliary energy demand of said one of a plurality of vehicles at each of said incremental positions along said one of a plurality of routes.

17. The energy management method for use with one of a plurality of hybrid energy diesel electric vehicles according to claim 16, wherein said plurality of hybrid energy diesel electric vehicles comprises one of hybrid energy diesel electric off-highway vehicles, hybrid energy diesel marine vehicles, and hybrid energy diesel locomotives.

18. The energy management method for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 16, further comprising:

connecting an energy storage system to the traction bus, said energy storage system for storing electrical energy generated by the traction motor based upon a storage parameter and for supplying secondary electric power from the stored electrical energy to the traction bus to augment the primary electric power based upon a transfer parameter so to enhance a performance parameter of said one of a plurality of locomotives over said one of a plurality of routes; and

estimating a storage parameter and transfer parameter at each of said incremental positions based upon utilizing said at least one anticipated traction and auxiliary energy demand of said one of a plurality of locomotives at each of said incremental positions and utilizing a current status of an energy storage system at each of said incremental positions.

19. The energy management method for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 18, wherein upon said retrieving the at least one traction and auxiliary energy demand of each locomotive at each incremental location along each route, said method comprises segregating said at least one traction and auxiliary energy demand values for the plurality of locomotives into a plurality of groups based upon a respective one of a fixed location and fixed time along each route.

20. The energy management method for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 19, wherein said estimating an at least one anticipated traction and auxiliary energy demand of said one of a plurality of locomotives at each of said one of a fixed location and fixed time along said one of a plurality of routes is based upon each of said plurality of groups of said at least one traction and auxiliary energy demand values of the plurality of locomotives.

21. The energy management method for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 20, wherein said estimating an at least one anticipated traction and auxiliary energy demand of said one of plurality of locomotives at each of said one of a fixed location and fixed time is based upon at least one operating characteristic of said one of a plurality of locomotives at each of said one of a fixed location and fixed time.

22. The energy management method for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 21, further comprising deriving a mathematical relationship between the at least one anticipated traction and auxiliary energy demand of said one of a plurality of locomotives at each of said one of a fixed location and fixed time and said at least one operating characteristic of said one of a plurality of locomotives.

23. The energy management method for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 21, wherein said estimating said anticipated traction and auxiliary energy demand for said one of a plurality of locomotives at each of said one of a fixed location and fixed time is based upon a statistical computation of said group of at least one traction and auxiliary energy demand values of said plurality of locomotives for said one of a fixed location and fixed time along each route.

24. The energy management method for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 23, wherein said statistical computation comprises one of an average, mean and range of said group of at least one traction and auxiliary energy demand values of said plurality of locomotives for said one of a fixed location and fixed time along each route.

25. The energy management method for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 24, further comprising determining a traction and auxiliary energy demand curve based upon said statistical computation at each one of a fixed location and fixed time along said one of a plurality of routes.

26. The energy management system for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 22, wherein said estimating said storage parameter and transfer parameter at each of said one of a fixed location and fixed time comprises determining said at least one anticipated traction and auxiliary energy demand of said one of a plurality of locomotives at each of said one of a fixed location and fixed time and monitoring a current status of said energy storage system at each of said one of a fixed location and fixed time.

27. The energy management method for use with one of a plurality of hybrid energy diesel electric locomotives according to claim 26, wherein said estimating said storage parameter and transfer parameter comprises estimating a storage parameter at one of said fixed location and fixed time upon an at least one upcoming traction and auxiliary energy demand exceeding a maximum primary electric energy.

28. Computer readable media containing program instructions for use with one of a plurality of hybrid energy diesel electric locomotives, each locomotive having an engine and power converter providing primary electric power, a traction bus coupled to the power converter for carrying the primary electric power, a traction motor connected to the traction bus, said traction motor having a motoring mode being responsive to the primary electric power for propelling said one of a plurality of locomotives on said one of a plurality of routes, said traction motor having a dynamic braking mode generating dynamic braking electrical energy on the traction bus, the computer readable media comprising:

a computer program code for retrieving said historical data of each of said plurality of locomotives for each of said incremental positions along said one of a plurality of routes; and

a computer program code for estimating at least one anticipated traction and auxiliary energy demand of said one of a plurality of locomotives at each of said incremental positions along said one of a plurality of routes.