Real-time battery fault detection and state-of-health monitoring

Patent metadata

Field	Value
Publication number	US-12055596-B2
Application number	US-202217933357-A
Country	US
Kind code	B2
Filing date	Sep 19, 2022
Priority date	Mar 12, 2020
Publication date	Aug 6, 2024
Grant date	Aug 6, 2024

Abstract

Battery management systems and methods can provide real-time automated monitoring of various aspects of battery health and operation. Some battery management systems can use an equivalent cell circuit model to predict a range for the expected behavior of a battery cell under actual operating conditions in real-time. The prediction can be compared to the actual behavior of the cell to determine whether an anomaly exists. Some battery management systems can maintain an estimate of battery state-of-health parameters such as charge capacity and internal resistance and can update these estimates in real time while the battery is being discharged and/or charged. Anomalous variations in a monitored parameter can trigger a real-time fault notification.

First claim

What is claimed is:

1. A method for monitoring internal resistance of a battery cell, the method comprising, by an automated battery monitoring system:
in response to detecting a transition of the battery cell from an idle state to an active state, initializing a running estimate of an internal resistance using a stored value;
while the battery cell is in the active state:
measuring a potential, a current, and a temperature of the battery cell; and
iteratively updating the running estimate of the internal resistance based on the measured potential, current, and temperature, wherein iteratively updating the running estimate includes:
determining, for each iterative update, whether the measured potential, current, and temperature are within predefined valid ranges;
in the event that the measured potential, current, and temperature are within the predefined valid ranges, computing a raw estimate of the internal resistance based on an equivalent cell circuit model and updating the running estimate using the raw estimate and a previous running estimate from a preceding time step; and
in the event that one or more of the measured potential, current, or temperature is not within the predefined valid ranges, waiting for the next time step without updating the running estimate;

in response to detecting a transition of the battery cell from the active state to the idle state:
calculating a change in internal resistance based on the stored value and a final value of the running estimate;
generating a cell resistance fault notification in the event that the change in internal resistance exceeds a threshold value; and
updating the stored value using the final value of the running estimate.

2. The method of claim 1 wherein updating the running estimate includes:
applying an infinite impulse response filter to the raw estimate and the previous running estimate.

3. The method of claim 1 wherein iteratively updating the running estimate of the internal resistance based on the measured potential, current, and temperature further includes:
in the event that the raw estimate is outside a plausible range of values, discarding the raw estimate without updating the running estimate.

4. The method of claim 3 wherein updating the running estimate includes:
applying an infinite impulse response filter to the raw estimate and the previous running estimate.

5. The method of claim 1 wherein the active state is a charging state.

6. The method of claim 1 wherein the active state is a discharging state.

7. A battery monitoring system comprising:
a battery interface to receive sensor data from a battery sensor of a battery cell;
a control system interface to provide output data to a control system;
a memory; and
a processor coupled to the memory, the battery interface, and the control system, the processor configured to:
initialize, in response to detecting a transition of the battery cell from an idle state to an active state, a running estimate of an internal resistance using a stored value;
while the battery cell is in the active state:
measure a potential, a current, and a temperature of the battery cell; and
iteratively update the running estimate of the internal resistance based on the measured potential, current, and temperature, wherein iteratively updating the running estimate includes:
in the event that the measured potential, current, and temperature are within predefined valid ranges: computing a raw estimate of the internal resistance based on an equivalent cell circuit model; in the event that the raw estimate is outside a plausible range of values, discarding the raw estimate; and in the event that the raw estimate is within the plausible range of values, updating the running estimate using the raw estimate and a previous running estimate from a preceding time step; and

in the event that one or more of the measured potential, current, or temperature is not within the predefined valid ranges, waiting for the next time step without updating the running estimate;

in response to detecting a transition of the battery cell from the active state to the idle state:
calculate a change in internal resistance based on the stored value and a final value of the running estimate;
generate a cell resistance fault notification in the event that the change in internal resistance exceeds a threshold value; and
update the stored value using the final value of the running estimate.

8. The battery monitoring system of claim 7 wherein the processor is further configured such that updating the running estimate includes:
applying an infinite impulse response filter to the raw estimate and the previous running estimate.

9. The battery monitoring system of claim 7 wherein the active state is a charging state.

10. The battery monitoring system of claim 7 wherein the active state is a discharging state.

11. A computer-readable storage medium having stored therein program instructions that, when executed by a processor in a battery monitoring system coupled to a battery cell, cause the processor to execute a method comprising:
in response to detecting a transition of the battery cell from an idle state to an active state, initializing a running estimate of an internal resistance using a stored value;
while the battery cell is in the active state:
measuring a potential, a current, and a temperature of the battery cell; and
iteratively updating the running estimate of the internal resistance based on the measured potential, current, and temperature, wherein iteratively updating the running estimate includes:
determining, for each iterative update, whether the measured potential, current, and temperature are within predefined valid ranges;
in the event that the measured potential, current, and temperature are within the predefined valid ranges, computing a raw estimate of the internal resistance based on an equivalent cell circuit model and updating the running estimate using the raw estimate and a previous running estimate from a preceding time step; and
in the event that one or more of the measured potential, current, or temperature is not within the predefined valid ranges, waiting for the next time step without updating the running estimate;

in response to detecting a transition of the battery cell from the active state to the idle state:
calculating a change in internal resistance based on the stored value and a final value of the running estimate;
generating a cell resistance fault notification in the event that the change in internal resistance exceeds a threshold value; and
updating the stored value using the final value of the running estimate.

12. The computer-readable storage medium of claim 11 wherein updating the running estimate includes:
applying an infinite impulse response filter to the raw estimate and the previous running estimate.

13. The computer-readable storage medium of claim 11 wherein the active state is a charging state.

14. The computer-readable storage medium of claim 11 wherein the active state is a discharging state.

Assignees

• Wisk Aero Llc

Inventors

• Hom Lewis Romeo

Classifications

• H02J7/84

  Control of state of health [SOH] · CPC title

• H02J7/92

  with prioritisation of loads or sources · CPC title

• H02J7/82

  Control of state of charge [SOC] · CPC title

• G01R31/389

  Measuring internal impedance, internal conductance or related variables · CPC title

• G01R31/367 Primary

  Software therefor, e.g. for battery testing using modelling or look-up tables · CPC title