Accurate estimation of the capacity and state of charge of an energy storage system used in wind farms

• US 10,012,701 B2
• Filed: 03/15/2011
• Issued: 07/03/2018
• Est. Priority Date: 03/15/2011
• Status: Active Grant

• Current Assignee: Vestas Wind Systems A/S
• Original Assignee: Vestas Wind Systems A/S
• Inventors: Zhang, Jianhui
• Primary Examiner(s): Berhanu, Samuel
• Application Number:
  US13/048,599
• Publication Number:
  US 20120235409A1
• Time in Patent Office: 2,667 Days
• Field of Search: 320101, 320132, 320133, 324427, 324429, 324430, 3101, 3132, 3133
• CPC Class Codes: G01R 31/389 Measuring internal impedance, internal conductance or related variables
• CPC Class Codes: G01R 31/392 Determining battery ageing or deterioration, e.g. state of health

Abstract

Embodiments of the invention provide techniques and apparatus for accurately estimating an aged capacity (E_aged) of a battery in an energy storage system (ESS) used on a wind farm. E_aged throughout the life of the battery may be estimated by measuring the internal impedance of the battery and using a relationship between the age of the battery (e.g., a number of charging cycles) and a maximum capacity corresponding to the battery. The state of charge (SOC) may be calculated based on the electromotive force (EMF) of the battery. The actual available energy (E_available) of the battery may be calculated based on the E_aged of the battery and the calculated SOC. In this manner, embodiments of the present invention may allow a wind farm to function as a virtual power plant (VPP) and deliver peak load electricity, regardless of intermittent wind velocity.

Claims

1. A method for estimating an aged capacity of a battery in an energy storage system (ESS) associated with a plurality of wind turbine generators, the method comprising:

determining an internal impedance and an electromotive force (EMF) of the battery, wherein the determined internal impedance and the determined EMF are derived from a measured voltage of the battery and a measured current into the battery at two different points in time;

determining an approximate age of the battery based on the internal impedance;

determining a relationship between a maximum capacity corresponding to the battery and a number of charging cycles;

determining the aged capacity of the battery based on the approximate age and the relationship;

determining a state of charge (SOC) of the battery based on the determined EMF of the battery;

after determining the aged capacity, measuring an available energy remaining in the battery based on the SOC and the aged capacity; and

upon determining the available energy remaining in the battery is below a predetermined value, increasing power output of the plurality of wind turbine generators by operating the plurality of wind turbine generators to produce additional power output in order to increase a rate at which the battery is charged.

2. The method of claim 1, wherein determining the relationship comprises performing a regression analysis of the maximum capacity corresponding to the battery.

3. The method of claim 2, wherein the regression analysis is based on maximum capacity data for another battery having functional characteristics similar to the battery.

4. The method of claim 1, wherein a load of the battery varies at the two different points in time.

5. The method of claim 1, wherein operating the plurality of wind turbine generators comprises pitching at least one blade of each of the plurality of wind turbine generators.

6. The method of claim 1, further comprising upon determining the plurality of wind turbine generators are not producing sufficient power output, operating the ESS to discharge the battery.

7. The method of claim 1, wherein upon determining the available energy remaining in the battery is below the aged capacity of the battery, operating the ESS to charge the battery.

8. An apparatus for estimating an aged capacity of a battery in an energy storage system (ESS) associated with a plurality of wind turbine generators, the apparatus comprising:

at least one processor configured to;

determine an internal impedance and an electromotive force (EMF) of the battery, wherein the determined internal impedance and the determined EMF are derived from a measured voltage of the battery and a measured current into the battery at two different instances in time;

determine an approximate age of the battery based on the internal impedance;

determine a relationship between a maximum capacity corresponding to the battery and a number of charging cycles;

determine the aged capacity of the battery based on the approximate age and the relationship;

determine a state of charge (SOC) of the battery based on the determined EMF of the battery;

after determining the aged capacity, measuring an available energy remaining in the battery based on the SOC and the aged capacity; and

upon determining the available energy remaining in the battery is below a predetermined value, increase power output of the plurality of wind turbine generators by operating the plurality of wind turbine generators to produce additional power output in order to improve a rate at which the battery is charged.

9. The apparatus of claim 8, wherein the relationship is based on a regression analysis of the maximum capacity corresponding to the battery.

10. The apparatus of claim 9, wherein the regression analysis is based on maximum capacity data for another battery of the same type as the battery.

11. The apparatus of claim 8, wherein a load of the battery varies at the two different instances in time.

12. The apparatus of claim 8, wherein operating the plurality of wind turbine generators comprises pitching at least one blade of each of the plurality of wind turbine generators.

13. The apparatus of claim 8, wherein the processor is further configured to:

upon determining the plurality of wind turbine generators are not producing sufficient power output, operate the ESS to discharge the battery.

14. A system comprising:

one or more of wind turbine generators;

at least one battery for storing energy produced by the wind turbine generators; and

at least one processor configured to;

determine an internal impedance and an electromotive force (EMF) of the battery, wherein the determined internal impedance and the determined EMF are derived from a measured voltage of the battery and a measured current into the battery at two different points in time,

determine an approximate age of the battery based on the internal impedance,

determine a relationship between a maximum capacity corresponding to the battery and a number of charging cycles,

determine an aged capacity of the battery based on the approximate age and the relationship,

determine a state of charge (SOC) of the battery based on the determined EMF of the battery,

after determining the aged capacity, measuring an available energy remaining in the battery based on the SOC and the aged capacity, and

upon determining the available energy remaining in the battery is below a predetermined value, increasing power output of the wind turbine generators by operating the wind turbine generators to produce additional power output in order to improve a rate at which the battery is charged.

15. The system of claim 14, wherein the relationship is based on a regression analysis of the maximum capacity corresponding to the battery.

16. The system of claim 15, wherein the regression analysis is based on maximum capacity data for another battery having functional characteristics similar to the battery.

17. The system of claim 14, wherein a load of the battery varies at the two different points in time.

18. The system of claim 14, wherein operating the wind turbine generators comprises pitching at least one blade of each of the wind turbine generators.

19. The system of claim 14, wherein the processor is further configured to:

upon determining the wind turbine generators are not producing sufficient power output, discharge the battery.