IP Library Patent Application 18868302
Patent Application
App. No. 18/868,302

SYSTEM AND METHOD FOR IDENTIFYING COMPROMISED COMPONENTS IN POWER CONVERSION DEVICES

Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US None
App. No.
18/868,302
Abstract

An energy storage system a plurality of energy storage nodes. Each of the plurality of energy storage nodes include a plurality of battery storage elements. The energy storage system further includes a power conversion system (PCS); a control system coupled to the plurality of energy storage nodes and the PCS; and a plurality of sensors coupled to the control system to detect or monitor various system data. The system data includes PCS data from the PCS. The control system is configured to measure the PCS data including current and voltage on both input and output sides of the PCS. The control system is further configured to apply one or more PCS diagnostics models trained to determine behavioral characteristics of at least one component of the PCS based on the measured current and voltage and one or more behavioral patterns previously associated with abnormally behaving components of the PCS.

Claims (53)

1 . An energy storage system, comprising:

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

a power conversion system (PCS) including a plurality of components;

a control system coupled to the plurality of energy storage nodes and the PCS; and

a plurality of sensors coupled to the control system to detect or monitor various system data, wherein the system data includes PCS data from the PCS;

wherein the control system is configured to:

measure the PCS data including an input current and an input voltage on an input side of the PCS and an output current and an output voltage on an output side of the PCS; and

apply one or more PCS diagnostics models trained to determine behavioral characteristics of at least one component of the PCS based on the measured input current, the input voltage, the output current, and the output voltage and one or more behavioral patterns previously associated with abnormally behaving components of the PCS.

2 . The energy storage system of claim 1 , wherein the applying the one or more PCS diagnostics models trained to determine behavioral characteristics of the at least one component of the PCS based on the measured input current, the input voltage, the output current, and the output voltage and the one or more behavioral patterns previously associated with the abnormally behaving components of the PCS includes:

applying the one or more PCS diagnostics models to the measured input current, the input voltage, the output current, and the output voltage and the one or more behavioral patterns over a plurality of time periods to determine the behavioral characteristics; and

selecting one or more operating conditions based on the applied one or more PCS diagnostics models responsive to the determined behavioral characteristics.

3 . The energy storage system of claim 2 , wherein the applying the one or more PCS diagnostics models to the measured input current, the input voltage, the output current, and the output voltage and the one or more behavioral patterns over the plurality of time periods to determine the behavioral characteristics includes:

feeding the measured input current, the input voltage, the output current, and the output voltage into the one or more PCS diagnostics models;

holding the measured input current, the input voltage, the output current, and the output voltage over the plurality of time periods; and

matching the measured input current, the input voltage, the output current, and the output voltage over the plurality of time periods against the behavioral patterns previously associated with abnormally behaving components of the PCS.

4 . The energy storage system of claim 2 , wherein the control system is configured to adjust a normal operation or a maintenance operation of the PCS responsive to the selected one or more operating conditions.

5 . The energy storage system of claim 2 , wherein the selected one or more operating conditions include applying an operational bias, changing one or more operating limits, changing one or more operating profiles, reducing power limits, limiting operation to a voltage range, reducing a rate of change of power output, or changing an active/reactive power ratio.

6 . The energy storage system of claim 1 , wherein the at least one component of the PCS includes a power conversion unit; a heating, ventilation, and air conditioning (HVAC) equipment; a power inverter; a rectifier; or a DC-DC converter.

7 . The energy storage system of claim 1 , wherein the determined behavioral characteristics indicate the at least one component of the PCS is weakened or failing.

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

the input current and the input voltage are measured at a high frequency on the input side;

the output current and the output voltage are measured at the high frequency on the output side; and

the high frequency exceeds a switching frequency of the PCS and is at least approximately 1 kilohertz (1 kHz).

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

measure a power conversion system (PCS) data including an input current and an input voltage on an input side of a PCS and an output current and an output voltage on an output side of the PCS; and

apply one or more PCS diagnostics models trained to determine behavioral characteristics of at least one component of the PCS based on the measured input current, the input voltage, the output current, and the output voltage and one or more behavioral patterns previously associated with abnormally behaving components of the PCS.

10 . The non-transitory computer-readable medium of claim 9 , wherein the applying the one or more PCS diagnostics models trained to determine behavioral characteristics of the at least one component of the PCS based on the measured input current, the input voltage, the output current, and the output voltage and the one or more behavioral patterns previously associated with the abnormally behaving components of the PCS includes:

applying the one or more PCS diagnostics models to the measured input current, the input voltage, the output current, and the output voltage and the one or more behavioral patterns over a plurality of time periods to determine the behavioral characteristics; and

selecting one or more operating conditions based on the applied one or more PCS diagnostics models responsive to the determined behavioral characteristics.

11 . The non-transitory computer-readable medium of claim 10 , wherein the applying the one or more PCS diagnostics models to the measured input current, the input voltage, the output current, and the output voltage and the one or more behavioral patterns over the plurality of time periods to determine the behavioral characteristics includes:

feeding the measured input current, the input voltage, the output current, and the output voltage into the one or more PCS diagnostics models;

holding the measured input current, the input voltage, the output current, and the output voltage over the plurality of time periods; and

matching the measured input current, the input voltage, the output current, and the output voltage over the plurality of time periods against the behavioral patterns previously associated with abnormally behaving components of the PCS.

12 . The non-transitory computer-readable medium of claim 10 , wherein the control system is configured to adjust a normal operation or a maintenance operation of the PCS responsive to the selected one or more operating conditions.

13 . The non-transitory computer-readable medium of claim 10 , wherein the selected one or more operating conditions include applying an operational bias, changing one or more operating limits, changing one or more operating profiles, reducing power limits, limiting operation to a voltage range, reducing a rate of change of power output, or changing an active/reactive power ratio.

14 . The non-transitory computer-readable medium of claim 9 , wherein the at least one component of the PCS includes a power conversion unit; a heating, ventilation, and air conditioning (HVAC) equipment; a power inverter; a rectifier; or a DC-DC converter.

15 . The non-transitory computer-readable medium of claim 9 , wherein the determined behavioral characteristics indicate the at least one component of the PCS is weakened or failing.

16 . The non-transitory computer-readable medium of claim 9 , wherein:

the input current and the input voltage are measured at a high frequency on the input side;

the output current and the output voltage are measured at the high frequency on the output side; and

the high frequency exceeds a switching frequency of the PCS and is at least approximately 1 kilohertz (1 kHz).

17 . A method, comprising:

measuring a power conversion system (PCS) data including an input current and an input voltage on an input side of a PCS and an output current and an output voltage on an output side of the PCS;

applying one or more PCS diagnostics models trained to determine behavioral characteristics of at least one component of the PCS based on the measured input current, the input voltage, the output current, and the output voltage and one or more behavioral patterns previously associated with abnormally behaving components of the PCS; and

responsive to the determined behavioral characteristics, performing at least one of adjusting an operation of the PCS, servicing the at least one component of the PCS, or selecting one or more operating conditions of the at least one component of the PCS.

18 . The method of claim 17 , wherein the applying the one or more PCS diagnostics models trained to determine behavioral characteristics of the at least one component of the PCS based on the measured input current, the input voltage, the output current, and the output voltage and the one or more behavioral patterns previously associated with the abnormally behaving components of the PCS includes:

applying the one or more PCS diagnostics models to the measured input current, the input voltage, the output current, and the output voltage and the one or more behavioral patterns over a plurality of time periods to determine the behavioral characteristics; and

selecting one or more operating conditions based on the applied one or more PCS diagnostics models responsive to the determined behavioral characteristics.

19 . The method of claim 18 , wherein the applying the one or more PCS diagnostics models to the measured input current, the input voltage, the output current, and the output voltage and the one or more behavioral patterns over the plurality of time periods to determine the behavioral characteristics includes:

feeding the measured input current, the input voltage, the output current, and the output voltage into the one or more PCS diagnostics models;

holding the measured input current, the input voltage, the output current, and the output voltage over the plurality of time periods; and

matching the measured input current, the input voltage, the output current, and the output voltage over the plurality of time periods against the behavioral patterns previously associated with abnormally behaving components of the PCS.

20 . The method of claim 17 , wherein the determined behavioral characteristics indicate the at least one component of the PCS is weakened or failing.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 22, 2024
From: GALURA, BRETT LANCE; WINTER, THOMAS JEFFREY
To: FLUENCE ENERGY, LLC
Reel/Frame 069370/0492 →