METHOD FOR FINDING PATTERNS FOR DIAGNOSTIC ANALYSIS

1 . A system, comprising:

an energy storage system including a plurality of energy storage nodes, wherein each of the plurality of energy storage nodes includes a battery storage element;

a memory;

a processor coupled to the memory and the plurality of energy storage nodes;

programming in the memory, wherein execution of the programming by the processor configures the system to:

characterize blocks of historical operating data from the plurality of energy storage nodes;

create summary parameters for the blocks of historical operating data;

evaluate each of the summary parameters against selection criteria; and

feed selected operating data as suitable input data to a diagnostic analysis protocol for the energy storage system based on the evaluation of the summary parameters against the selection criteria.

2 . The system of claim 1 , wherein the summary parameters comprise operating conditions, and wherein the operating conditions comprise at least one of a value of state of charge (“SoC”) of the plurality of energy storage nodes over time, temperatures of the plurality of energy storage nodes, power levels of the plurality of energy storage nodes, voltages, currents, or ranges of temperatures, power levels, voltages, and currents of the plurality of energy storage nodes.

3 . The system of claim 1 , wherein the summary parameters comprise operating conditions within the blocks of historical operating data from the plurality of energy storage nodes or characteristics in either of a time domain or a frequency domain.

4 . The system of claim 3 , wherein the characteristics in the time domain comprise a sequence, duration of time at a certain condition, or rate of change over time of the operating conditions of the plurality of energy storage nodes between charging and discharging.

5 . The system of claim 3 , wherein the characteristics in the frequency domain comprise a parametric view of the frequency domain indicating how rapidly the plurality of energy storage nodes switch between charging and discharging.

6 . The energy storage system of claim 1 , wherein execution of the programming by the processor configures the system to feed parameters of an identified historical block as part of the suitable input data into the diagnostic analysis protocol.

7 . The energy storage system of claim 1 , wherein execution of the programming by the processor configures the system to use the historical operating data from the plurality of energy storage nodes to fine-tune or design the diagnostic analysis protocol.

8 . The energy storage system of claim 7 , wherein the historical operating data from the plurality of energy storage nodes comprises an actual dispatch of one or more of the energy storage nodes of the energy storage system.

9 . The energy storage system of claim 7 , wherein execution of the programming by the processor configures the system to characterize a forecasted dispatch of one or more energy storage nodes of the energy storage system.

10 . The energy storage system of claim 1 , wherein execution of the programming by the processor configures the system to use output from the diagnostic analysis protocol to control an operation of the energy storage system or for maintenance, service, or diagnostics of the energy storage system.

11 . A method, comprising:

characterizing blocks of historical operating data from a plurality of energy storage nodes of an energy storage system;

creating summary parameters for the blocks of historical operating data;

evaluating each of the summary parameters against selection criteria; and

feeding selected operating data as suitable input data to a diagnostic analysis protocol for the energy storage system based on the evaluation of the summary parameters against the selection criteria.

12 . The method of claim 11 , further comprising finding a pattern in the historical operating data from the plurality of energy storage nodes that is suitable for feeding an analytic tool.

13 . The method of claim 11 , wherein the summary parameters comprise operating conditions, and wherein the operating conditions comprise at least one of a value of state of charge (“SoC”) of the plurality of energy storage nodes over time, temperatures of the plurality of energy storage nodes, power levels of the plurality of energy storage nodes, voltages, currents, or ranges of temperatures, power levels, voltages, and currents of the plurality of energy storage nodes.

14 . The method of claim 11 , wherein the summary parameters comprise operating conditions within the blocks of historical operating data from the plurality of energy storage nodes or characteristics in either of a time domain or a frequency domain.

15 . The method of claim 14 , wherein the characteristics in the frequency domain comprise a parametric view of the frequency domain indicating how rapidly the plurality of energy storage nodes switch between charging and discharging.

16 . The method of claim 11 , further comprising feeding parameters of an identified historical block as part of the suitable input data into the diagnostic analysis protocol.

17 . The method of claim 11 , further comprising using the historical operating data from the plurality of energy storage nodes to fine-tune or design the diagnostic analysis protocol.

18 . The method of claim 11 , wherein the historical operating data from the plurality of energy storage nodes comprises an actual dispatch of one or more of the energy storage nodes of the energy storage system.

19 . The method of claim 18 , further comprising characterizing a forecasted dispatch of one more of the energy storage nodes of the energy storage system.

20 . The method of claim 11 , further comprising using output from the diagnostic analysis protocol to control an operation of the energy storage system or for maintenance, service, or diagnostics of the energy storage system.

21 . (canceled)