System and method for monitoring and controlling energy system

• US 9,409,533 B2
• Filed: 04/30/2010
• Issued: 08/09/2016
• Est. Priority Date: 05/11/2009
• Status: Active Grant

• Current Assignee: Mahindra Reva Electric Vehicles Pvt., Ltd. (Mahindra & Mahindra Limited)
• Original Assignee: Mahindra Reva Electric Vehicles Pvt., Ltd. (Mahindra & Mahindra Limited)
• Inventors: Maini, Chetan Kumar, Ramaraju, Prakash, Sathyanarayana, Nagendra Babu
• Primary Examiner(s): Jarrett, Ryan
• Application Number:
  US13/319,643
• Publication Number:
  US 20120059526A1
• Time in Patent Office: 2,293 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: B60L 15/2045 for optimising the use of energy
• CPC Class Codes: B60L 2260/54 Energy consumption estimation
• CPC Class Codes: B60R 16/03 for supply of electrical power to vehicle subsystems or for circuit arrangements for charging batteries H02J7/00
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/018 Certifying business or products
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02E 60/10 Energy storage using batteries
• CPC Class Codes: Y02P 90/82 Energy audits or management systems therefor
• 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: Y02T 10/84 Data processing systems or methods, management, administration
• 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 30/14 Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

Abstract

A method and system for identifying at a remote location provide at least one condition associated with an energy system (102) and control the energy system (102) The energy system (102) includes an energy storage system (ESS) (104) capable of storing electric energy, an energy consumption system (ECS) (106) capable of consuming electric energy from the ESS (104) and an energy management system (EMS) (108) capable of interacting with the ESS (104) and the ECS (106) A parameter associated with the ESS (104) is measured, and the measured parameter is compared with reference data to determine the deviation of the measured parameter from the reference data, and the deviation indicates the condition of the energy system (102) The deviation is determined by the EMS (108) or at the remote location, and the deviation is sent to the remote location while the deviation is determined by the EMS (108).

Claims

1. A method for adapting control in an energy system which is at least partially powered by electricity, wherein said energy system comprises an energy storage system capable of storing electric energy, an energy consumption system capable of consuming, at least partially, the electric energy stored in said energy storage system, and an energy management system comprising instructions for managing said energy storage system and said energy consumption system, said method comprising:

gathering data, in real time, relating to at least one of said energy storage system and said energy consumption system, wherein said gathered data comprises temperature of at least one of said energy storage system and said energy consumption system in combination with at least one of voltage of said energy storage system, water level in said energy storage system, current of said energy storage system, power of said energy storage system, deviation of said energy storage system, energy of said energy storage system, and impedance of said energy storage system;

computing at least a parameter based on the gathered data, wherein the parameter is associated with said energy storage system, wherein the parameter is related to at least one condition of the energy system;

comparing the at least one parameter with at least corresponding reference data;

determining by the energy management system, a deviation of the parameter from the reference data, based on the comparison, wherein the determined deviation is sent to a data processing system at a remote location, further wherein the data processing system is capable of sending commands to at least one of a plurality of subsystems of the energy system from the remote location;

generating at least one of a charge pattern, a temperature pattern, a capacity pattern, a state of health pattern, in real time, from the gathered data, wherein said pattern is compared to at least historical data, so as to identify a pattern developed using historical data, the identified pattern being similar to the pattern of the energy storage system;

determining whether modification of the instructions in the energy management system is required based on said pattern, wherein said determination is based on said pattern and user'"'"'s preference on performance of said energy system; and

modifying the instructions in said energy management system if said modification of the instructions in said energy management system is required.

2. The method according to claim 1, wherein said generating of said pattern from said gathered data further comprises developing at least one of an energy storage system charging pattern, an electric energy usage pattern, a drive pattern of said energy system, a usage pattern of said energy system, a driving speed pattern of said energy system, a regenerative energy pattern, a temperature pattern, a usage pattern of heating ventilation air conditioning, a pattern of state of health of said energy storage system and a pattern of capacity of said energy storage system.

3. The method according to claim 1, further comprising gathering data which is external to said energy system.

4. The method according to claim 1, further comprising preconditioning said energy storage system by at least one of heating and cooling said energy storage system, based on the gathered data.

5. The method according to claim 1, wherein the data is related to a source of electricity used for recharging said energy storage system.

6. The method according to claim 1, further comprising gathering data relating to at least one of said energy storage system and said energy consumption system from a fleet of energy systems.

7. The method according to claim 6, further comprising modifying instructions in said energy management system based on the data gathered from the fleet of energy systems.

8. The method according to claim 1, wherein modifying the instructions in said energy management system comprises modifying the instruction to enable shutting down or modifying performance of one or more subsystems of said energy consumption system.

9. A system for adapting control in an energy system which is at least partially powered by electricity, wherein said energy system comprises an energy storage system capable of storing electric energy, an energy consumption system capable of consuming, at least partially, the electric energy stored in said energy storage system, said system comprising an energy management system and a data processing system, wherein said energy management system and said data processing system are configured to:

gather data, in real time, relating to at least one of said energy storage system and said energy consumption system, wherein said gathered data comprises temperature of said at least one of said energy storage system and said energy consumption system in combination with at least one of voltage of said energy storage system, water level in said energy storage system, current of said energy storage system, power of said energy storage system, deviation of said energy storage system, energy of said energy storage system, and impedance of said energy storage system;

compute at least a parameter based on the gathered data, wherein the parameter is associated with said energy storage system, wherein the parameter is related to at least one condition of the energy system;

compare the at least one parameter with at least corresponding reference data;

determine a deviation of the parameter from the reference data, based on the comparison, wherein the determined deviation is sent to the data processing system at a remote location, further wherein the data processing system is capable of sending commands to at least one of a plurality of subsystems of the energy system from the remote location;

generate at least one of a charge pattern, a temperature pattern, a capacity pattern, a state of health pattern, in real time, from the gathered data, wherein said pattern is compared to at least historical data, so as to identify a pattern developed using historical data, the identified pattern being similar to the pattern of the energy storage system;

determine whether modification of the instructions in the energy management system is required based on said pattern, wherein said determination is based on said pattern and user'"'"'s preference on performance of said energy system; and

modify instructions in said energy management system if said modification of the instructions in said energy management system is required.

10. The system according to claim 9, wherein at least one of said energy management system and said data processing system is configured to develop at least one of an energy storage system charging pattern, an electric energy usage pattern, a drive pattern of said energy system, a usage pattern of said energy system, a driving speed pattern of said energy system, a regenerative energy pattern, a temperature pattern, a usage pattern of heating ventilation air conditioning, a pattern of state of health of said energy storage system and a pattern of capacity of said energy storage system.

11. The system according to claim 9, is further configured to gather data which is external to said energy system.

12. The system according to claim 9, wherein the system is configured to precondition said energy storage system by at least one of heating and cooling said energy storage system, based on the gathered data.

13. The system according to claim 9, wherein the system is configured to gather data related to a source of electricity used for recharging said energy storage system.

14. The system according to claim 9, wherein the system is configured to gather data relating to at least one of said energy storage system and said energy consumption system from a fleet of energy systems.

15. The system according to claim 14, wherein the system is configured to modify instructions in said energy management system based on the data gathered from the fleet of energy systems.

16. The system according to claim 9, wherein the system is configured to modify instructions in said energy management system to enable shutting down or modifying performance of one or more subsystems of said energy consumption system.