SYSTEM AND METHOD FOR IDENTIFYING ATYPICAL CONDITIONS IN COMPOUND ENERGY STORAGE SYSTEMS

1 . An energy storage system, comprising:

a plurality of energy storage nodes, wherein the plurality of energy storage nodes include a battery storage element;

a power conversion system (PCS);

a plurality of sensors to detect or monitor various system data, wherein the system data includes component data from or about one or more components of the energy storage system, the component data including battery data, PCS data, or a combination thereof; and

a control and management system coupled to the plurality of energy storage nodes, the PCS, and the plurality of sensors and configured to receive the system data, the control and management system including a non-transitory computer-readable medium, comprising maintenance management programming, wherein execution of the maintenance management programming by one or more processors configures the control and management system to:

receive or store the system data;

apply analytical models to the system data to predict or identify an atypical condition relating to a weakness, damage, or a changed condition in the one or more components of the energy storage system; and

responsive to the atypical condition, optimize a maintenance plan for the energy storage system.

2 . The energy storage system of claim 1 , wherein the applying analytical models to the system data to predict or identify the atypical condition includes:

feeding the component data into an atypical condition model;

holding the component data over one or more time periods; and

matching the component data over the one or more time periods against atypical condition patterns previously identified as being associated with weakness, damage, or a changed condition relating to an extended lifetime of the one or more components.

3 . The energy storage system of claim 1 , wherein:

the atypical condition relates to weakness or damage in the one or more components;

the optimizing the maintenance plan includes adjusting the maintenance plan for the energy storage system with a mitigation activity to fix or avoid a continuing deteriorating condition of the one or more components.

4 . The energy storage system of claim 3 , wherein the mitigation activity adjusts operation of the one or more components to reduce rate of component wear, schedules earlier maintenance of the one or more components, schedules deferred maintenance of the one or more components, orders or reserves spares of the one or more components, or increases an amount of spares of the one or more components.

5 . The energy storage system of claim 1 , wherein the one or more components of the energy storage system include the battery storage element, the power conversion system, a transformer, or HVAC equipment.

6 . The energy storage system of claim 1 , wherein:

the PCS data includes environmental condition data, a voltage, a current, a temperature, or a combination thereof.

7 . The energy storage system of claim 1 , wherein:

the battery data includes a voltage, a current, a temperature, or a combination thereof; and

the atypical condition includes a battery condition, wherein the battery condition comprises: a state of charge, a temperature, a power capability, remaining energy capacity, an internal resistance or impedance, a degradation of a cathode active material, a degradation of an anode active material, a degree of growth of a solid-electrode interphase (SEI) layer, remaining lithium inventory/lithium inventory loss, lithium plating on an anode or a cathode active material, a lithium dendrite growth on an anode active material, depositing of electrode decomposition products on an anode or a cathode active material, a current distribution non-uniformity in an anode or a cathode active material, a phase of a cathode active material, a phase of an anode active material, or a combination thereof.

8 . A non-transitory computer-readable medium, comprising maintenance management programming, wherein execution of the maintenance management programming by one or more processors configures one or more controllers to:

receive or store system data, wherein the system data includes component data from or about one or more components of an energy storage system, the component data including battery data, power conversion system (PCS) data, or a combination thereof;

apply analytical models to the system data to predict or identify an atypical condition relating to a weakness, damage, or a changed condition in the one or more components of the energy storage system; and

responsive to the atypical condition, optimize a maintenance plan for the energy storage system.

9 . The non-transitory computer-readable medium of claim 8 , wherein the applying analytical models to the system data to predict or identify the atypical condition includes:

feeding the component data into an atypical condition model;

holding the component data over one or more time periods; and

matching the component data over the one or more time periods against atypical condition patterns previously identified as being associated with weakness, damage, or a changed condition relating to an extended lifetime of the one or more components.

10 . The non-transitory computer-readable medium of claim 8 , wherein:

the atypical condition relates to weakness or damage in the one or more components;

the optimizing the maintenance plan includes adjusting the maintenance plan for the energy storage system with a mitigation activity to fix or avoid a continuing deteriorating condition of the one or more components.

11 . The non-transitory computer-readable medium of claim 10 , wherein the mitigation activity adjusts operation of the one or more components to reduce rate of component wear, schedules earlier maintenance of the one or more components, schedules deferred maintenance of the one or more components, orders or reserves spares of the one or more components, or increases an amount of spares of the one or more components.

12 . The non-transitory computer-readable medium of claim 8 , wherein the one or more components of the energy storage system include the battery storage element, the power conversion system, a transformer, or HVAC equipment.

13 . The non-transitory computer-readable medium of claim 8 , wherein:

the PCS data includes environmental condition data, a voltage, a current, a temperature, or a combination thereof.

14 . The non-transitory computer-readable medium of claim 8 , wherein:

the battery data includes a voltage, a current, a temperature, or a combination thereof; and

the atypical condition includes a battery condition, wherein the battery condition comprises: a state of charge, a temperature, a power capability, remaining energy capacity, an internal resistance or impedance, a degradation of a cathode active material, a degradation of an anode active material, a degree of growth of a solid-electrode interphase (SEI) layer, remaining lithium inventory/lithium inventory loss, lithium plating on an anode or a cathode active material, a lithium dendrite growth on an anode active material, depositing of electrode decomposition products on an anode or a cathode active material, a current distribution non-uniformity in an anode or a cathode active material, a phase of a cathode active material, a phase of an anode active material, or a combination thereof.

15 . A method, comprising:

receiving or storing system data, wherein the system data includes component data from or about one or more components of the energy storage system, the component data including battery data, PCS data, or a combination thereof;

applying at least one analytical model to the system data to predict or identify an atypical condition of a plurality of atypical conditions relating to a weakness, damage, or a changed condition in the one or more components of the energy storage system; and

responsive to the atypical condition, optimizing a maintenance plan for the energy storage system.

16 . The method of claim 15 , wherein the applying at least one analytical model to the system data to predict or identify the atypical condition includes:

feeding the component data into the at least one analytical model;

holding the component data over one or more time periods; and

matching the component data over the one or more time periods against atypical condition patterns previously identified as being associated with weakness, damage, or a changed condition relating to an extended lifetime of the one or more components.

17 . The method of claim 15 , wherein:

the atypical condition relates to weakness or damage in the one or more components; and

the optimizing the maintenance plan includes adjusting the maintenance plan for the energy storage system with a mitigation activity to fix or avoid a continuing deteriorating condition of the one or more components.

18 . The method of claim 17 , wherein the mitigation activity adjusts operation of the one or more components to reduce rate of component wear, schedules earlier maintenance of the one or more components, schedules deferred maintenance of the one or more components, orders or reserves spares of the one or more components, or increases an amount of spares of the one or more components.

19 . The method of claim 15 , wherein the one or more components of the energy storage system include the power conversion system, the battery storage element, a transformer, or HVAC equipment.

20 . The method of claim 15 , wherein:

the PCS data includes environmental condition data, a temperature, a current, a voltage, or a combination thereof.