Battery health monitoring system

Patent metadata

Field	Value
Publication number	US-12306261-B1
Application number	US-202418792150-A
Country	US
Kind code	B1
Filing date	Aug 1, 2024
Priority date	Aug 1, 2024
Publication date	May 20, 2025
Grant date	May 20, 2025

Abstract

A power converter is used to generate a measurement-related AC signal. At a battery, the measurement-related AC signal is received and the measurement-related AC signal is responded to. Battery state information associated with the battery responding to the measurement-related AC signal is received. A battery health metric is determined based at least in part on the battery state information.

First claim

What is claimed is:

1. A power system, comprising:
a power converter that is used to generate a measurement-related AC signal at a measured discrete frequency;
a battery that receives the measurement-related AC signal at the measured discrete frequency and responds to the measurement-related AC signal at the measured discrete frequency; and
a controller that:
receives discrete-frequency battery state information associated with the battery responding to the measurement-related AC signal at the measured discrete frequency; and
determines a battery health metric based at least in part on the discrete-frequency battery state information and battery pre-characterization information, including by:
receiving the battery pre-characterization information, wherein the battery pre-characterization information includes:
a first dataset of known battery state information associated with a healthier battery state that includes, for a plurality of pre-characterization discrete frequencies, at least one measurement associated with each of the plurality of pre-characterization discrete frequencies and a battery health metric associated with each of the plurality of pre-characterization discrete frequencies; and
a second dataset of known battery state information associated with an unhealthier battery state that includes, for a plurality of pre-characterization discrete frequencies, at least one measurement associated with each of the plurality of pre-characterization discrete frequencies and a battery health metric associated with each of the plurality of pre-characterization discrete frequencies; and

comparing the discrete-frequency state information against the battery pre-characterization information in order to determine the battery health metric.

2. The power system recited in claim 1 , wherein the battery health metric includes one or more of the following: a capacity of the battery or an impedance of the battery.

3. The power system recited in claim 1 , wherein:
the power converter generates the measurement-related AC signal in response to receiving a control signal; and
the control signal is generated based at least in part on one or more hardware limitations that include one or more of the following: a battery cell minimum voltage, a battery cell maximum voltage, or a hardware component maximum current.

4. The power system recited in claim 1 , wherein:
the power converter generates the measurement-related AC signal in response to receiving a control signal; and
the control signal is generated based at least in part on one or more grid share limitations that include one or more of the following: a restricted period or a restricted operation.

5. The power system recited in claim 1 , wherein:
the power converter generates the measurement-related AC signal in response to receiving a control signal; and
the control signal is generated based at least in part on one or more user-related limitations that include one or more of the following: a restricted period or a restricted operation.

6. The power system recited in claim 1 , wherein:
the power converter generates the measurement-related AC signal in response to receiving a control signal; and
the control signal is generated based at least in part on one or more conservation limitations that include one or more of the following: a knee point value, a capacity value, or a last health measurement timestamp.

7. The power system recited in claim 1 , further including:
a hardware filter, wherein:
the power converter outputs a non-ideal signal; and
the hardware filter inputs the non-ideal signal and outputs a semi-filtered signal; and

a software filter, wherein:
the software filter inputs the semi-filtered signal and outputs a further improved signal; and
the further improved signal is used as the measurement-related AC signal.

8. A method, comprising:
using a power converter to generate a measurement-related AC signal at a measured discrete frequency;
receiving, at a battery, the measurement-related AC signal at the measured discrete frequency and respond to the measurement-related AC signal at the measured discrete frequency;
receiving discrete-frequency battery state information associated with the battery responding to the measurement-related AC signal at the measured discrete frequency; and
determining a battery health metric based at least in part on the discrete-frequency battery state information and battery pre-characterization information, including by:
receiving the battery pre-characterization information, wherein the battery pre-characterization information includes:
a first dataset of known battery state information associated with a healthier battery state that includes, for a plurality of pre-characterization discrete frequencies, at least one measurement associated with each of the plurality of pre-characterization discrete frequencies and a battery health metric associated with each of the plurality of pre-characterization discrete frequencies; and
a second dataset of known battery state information associated with an unhealthier battery state that includes, for a plurality of pre-characterization discrete frequencies, at least one measurement associated with each of the plurality of pre-characterization discrete frequencies and a battery health metric associated with each of the plurality of pre-characterization discrete frequencies; and

comparing the discrete-frequency state information against the battery pre-characterization information in order to determine the battery health metric.

9. The method recited in claim 8 , wherein the battery health metric includes one or more of the following: a capacity of the battery or an impedance of the battery.

10. The method recited in claim 8 , wherein:
the power converter generates the measurement-related AC signal in response to receiving a control signal; and
the control signal is generated based at least in part on one or more hardware limitations that include one or more of the following: a battery cell minimum voltage, a battery cell maximum voltage, or a hardware component maximum current.

11. The method recited in claim 8 , wherein:
the power converter generates the measurement-related AC signal in response to receiving a control signal; and
the control signal is generated based at least in part on one or more grid share limitations that include one or more of the following: a restricted period or a restricted operation.

12. The method recited in claim 8 , wherein:
the power converter generates the measurement-related AC signal in response to receiving a control signal; and
the control signal is generated based at least in part on one or more user-related limitations that include one or more of the following: a restricted period or a restricted operation.

13. The method recited in claim 8 , wherein:
the power converter generates the measurement-related AC signal in response to receiving a control signal; and
the control signal is generated based at least in part on one or more conservation limitations that include one or more of the following: a knee point value, a capacity value, or a last health measurement timestamp.

14. The method recited in claim 8 , wherein:
the power converter outputs a non-ideal signal;
the method further includes:
using a hardware filter to input the non-ideal signal and output a semi-filtered signal; and
using a software filter to input the semi-filtered signal and output a further improved signal; and

the further improved signal is used as the measurement-related AC signal.

15. A computer program product embodied in

Assignees

• Lunar Energy Inc

Inventors

• Bjornsson Erin E
• Budan Gokhan
• Holveck Mark

Classifications

• G01R31/392 Primary

  Determining battery ageing or deterioration, e.g. state of health · CPC title

• G01R31/389

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

• G01R31/367

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

• G01R31/386 Primary

  using test-loads · CPC title