METHOD FOR DETERMINING ALTERNATE STATE OF HEALTH PARAMETERS

1 . An energy storage system, comprising:

a plurality of energy storage nodes arranged in an array, wherein the plurality of energy storage nodes include a plurality of battery modules; and

a control system comprising at least one processor coupled to the plurality of energy storage nodes and a memory configured to receive or store data and programming, wherein the at least one processor is configured to:

perform operations in accordance with execution of the programming;

obtain an initial battery capacity (C i ) for at least one battery module of the plurality of battery modules;

obtain an initial state of charge (SoC 0 ) of the at least one battery module of the plurality of battery modules;

control at least one sensor to measure and record electrical current flow between multiple components to provide raw data for electrical current within the energy storage system for a predetermined period of time;

determine a present state of charge (SoC 1 ) of the at least one battery module over an elapsed time of the predetermined period;

determine an integrated current value based upon the measured raw data for the electrical current over the elapsed time for the predetermined period of time;

determine a remaining capacity of the at least one battery module at an end of the elapsed time; and

determine an estimated state of health (SOH) of the at least one battery module based upon the initial battery capacity and the determined remaining capacity including the integrated current value.

2 . The energy storage system of claim 1 , further comprising a power conversion system (PCS) connected to the plurality of energy storage nodes and an external grid system including an energy source and a connected load, wherein the power conversion system is configured to standardize power inputs and output to and from the plurality of energy storage nodes.

3 . The energy storage system of claim 2 , wherein the PCS comprises at least one inverter configured to convert bi-directionally between direct current (DC) power and alternating current (AC) power.

4 . The energy storage system of claim 2 , wherein the PCS comprises at least one direct-current (DC) to direct-current (DC) converter configured to convert a DC source from the plurality of energy storage nodes to a different DC source characteristic.

5 . The energy storage system of claim 1 , wherein the at least one sensor is further controlled to measure and store operational and environmental data in a memory accessible to the at least one processor of the control system.

6 . The energy storage system of claim 1 , wherein the remaining capacity of the at least one battery module is: C r =∫c/(SoC 1 −SoC 0 ),

where: ∫c is the determined integrated current value, SoC 1 is the present state of charge at the predetermined period of time, and SoC 0 is the initial state of charge.

7 . The energy storage system of claim 1 , wherein the estimated state of health (SoH) is the remaining capacity (C r ) divided by the initial battery capacity (C i ).

8 . The energy storage system of claim 1 , wherein at least one of maintenance, a repair or a replacement schedule for the at least one battery module is adjusted based on the estimated state of health (SoH).

9 . A method, comprising:

obtaining an initial battery capacity (C i ) for at least one battery module of a plurality of battery modules of an energy storage system;

obtaining an initial state of charge (SoC 0 ) for the at least one battery module of the plurality of battery modules;

controlling at least one sensor to measure and record electrical current flow between multiple components of the energy storage system to provide raw data for electrical current within the energy storage system for a predetermined period of time;

determining a present state of charge (SoC 1 ) of the at least one battery module over an elapsed time of the predetermined period of time;

determining an integrated current value based upon the measured raw data for the electrical current over the elapsed time for the predetermined period of time;

determining a remaining capacity of the at least one battery module at an end of the elapsed time; and

determining an estimated state of health (SOH) of the at least one battery module based upon the initial battery capacity and the determined remaining capacity including the integrated current value.

10 . The method of claim 9 , further comprising controlling a power conversion system (PCS) of the energy storage system to standardize power inputs and outputs to and from a plurality of energy storage nodes including the plurality of battery modules, wherein the power conversion system is connected to the plurality of energy storage nodes and an external grid system including an energy source and a connected load.

11 . The method of claim 9 , further comprising controlling the at least one sensor to measure and store operational data in a memory accessible to the at least one processor of the energy storage system.

12 . The method of claim 9 , wherein in the determining the remaining capacity, the remaining capacity of the at least one battery module is: C r =∫c/(SoC 1 −SoC 0 ),

where: ∫c is the determined integrated current value, SoC 1 is the present state of charge at the predetermined period of time, and SoC 0 is the initial state of charge.

13 . The method of claim 9 , wherein in the determining the estimated state of health (SoH) of the at least one battery module, the estimated SoH is the remaining capacity (C r ) divided by the initial battery capacity (C i ).

14 . The method of claim 9 , further comprising adjusting at least one of maintenance, a repair or a replacement schedule for the at least one battery module in accordance with the estimated state of health (SoH).

15 . A non-transitory computer-readable medium, comprising an estimated state of health (SoH) module, wherein execution of the SoH module by one or more processors configures one or more computing devices to:

obtain an initial battery capacity (C i ) for at least one battery module of a plurality of battery modules of an energy storage system;

obtain an initial state of charge (SoC 0 ) of the at least one battery module of a plurality of battery modules of the energy storage system;

control at least one sensor to measure and record electrical current flow between multiple components of the energy storage system to provide raw data for electrical current within the energy storage system for a predetermined period of time;

determine a state of charge (SoC 1 ) of the at least one battery module over an elapsed time of the predetermined period of time;

determine an integrated current value based upon the measured raw data for the electrical current over the elapsed time for the predetermined period of time;

determine a remaining capacity of the at least one battery module at an end of the elapsed time; and

determine an estimated state of health (SOH) of the at least one battery module based upon the initial battery capacity and the determined remaining capacity including the integrated current value.

16 . The non-transitory computer-readable medium of claim 15 , wherein the one or more computing devices are further configured to control a power conversion system (PCS) of the energy storage system to standardize power inputs and outputs to and from a plurality of energy storage nodes including the plurality of battery modules, wherein the power conversion system is connected to the plurality of energy storage nodes and an external grid system including an energy source and a connected load.

17 . The non-transitory computer-readable medium of claim 15 , wherein the one or more computing devices are further configured to control the at least one sensor to measure and store operational data in a memory accessible to the at least one processor of the energy storage system.

18 . The non-transitory computer-readable medium of claim 15 , wherein in the determination of the remaining capacity, the remaining capacity of the at least one battery module is:

C

r

=

∫

c

/

(

SoC

1

-

SoC

0

)

,

where: ∫c is the determined integrated current value, SoC 1 is the present state of charge at the predetermined period of time, and SoC 0 is the initial state of charge.

19 . The non-transitory computer-readable medium of claim 15 , wherein the estimated state of health (SoH) is the remaining capacity (C r ) divided by the initial battery capacity (C i ).

20 . The non-transitory computer-readable medium of claim 15 , wherein at least one of maintenance, a repair or a replacement schedule for the at least one battery module is adjusted based on the estimated state of health (SoH).