IP Library Granted Patent US 12,259,437
Granted Patent B2
US 12,259,437 · App. 18/235,691 · Granted Mar 25, 2025

System and method for battery management

Inventors: Evan Murphy (San Francisco, CA); Shyam Srinivasan (San Francisco, CA); Mark Tobenkin (San Francisco, CA); Zachary Gima (San Francisco, CA); Dustin Summy (San Francisco, CA); Brian Goodall (San Francisco, CA); Elizabeth Goldberg (San Francisco, CA); Wen Xing (San Francisco, CA); Jacqueline Maslyn (San Francisco, CA); Sharon R. Kuo (San Francisco, CA); Xander Rudelis (San Francisco, CA); John Stefanski (San Francisco, CA); Megan Pitcavage (San Francisco, CA)
Assignee: Zitara Technologies, Inc.
G01R31/367G01R31/3842
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Quick Facts
Patent No.
US 12,259,437
App. No.
18/235,691
Granted
Mar 25, 2025
Kind
B2
Abstract

A method and/or system configured to select state estimator operation settings based on one or more system inputs; and determine a battery state of a battery, based on sensor measurements associated with the battery, using a state estimator operating under the state estimator operation settings.

Claims (31)

1. A system comprising:

a first state estimator configured to estimate a first battery state based on sensor readings associated with a battery;

a scheduler configured to select state estimator operation settings from a set of state estimator operation settings, wherein the scheduler selects the state estimator operation settings based on system inputs and the first battery state wherein the state estimator operation settings comprise:

a model noise covariance set;

an active parameters set;

a sensor noise covariance set;

an active parameter noise covariance set;

an initial covariance estimate set; and

a model set; and

a second state estimator configured to estimate a second battery state of the battery based on the sensor readings and the selected state estimator operation settings.

2. The system of claim 1 , wherein the first state estimator and the second state estimator are the same.

3. The system of claim 1 , wherein the system inputs comprise an age of the battery, a system operation time, the sensor readings, control inputs for a desired operation profile of the battery, and a mode request.

4. The system of claim 1 , wherein the active parameter set depends on the model noise covariance set.

5. The system of claim 1 , wherein the schedule is configured to

select a first state estimator operation setting when a state of charge of the battery is less than a first threshold;

select a second state estimator operation setting when the state of charge of the battery is greater than the first threshold and less than a second threshold, wherein the second threshold is greater than the first threshold; and

select a third state estimator operation setting when the state of charge of the battery is greater than the second threshold.

6. The system of claim 5 , wherein at least one of the first threshold and the second threshold is a dynamic threshold that depends on an amount of time since the state estimator operation setting has been selected.

7. The system of 1 , wherein the scheduler is further configured to update the state estimator operation settings based on the second battery state; and the second state estimator is further configured to update the second battery state of the battery based on the updated state estimator operation settings.

8. A system comprising:

a first state estimator configured to estimate a first battery state based on sensor readings associated with a battery;

a scheduler configured to:

select state estimator operation settings from a set of state estimator operation settings, wherein the scheduler selects the state estimator operation settings based on system inputs and the first battery state;

select a first state estimator operation setting when a state of charge of the battery is less than a first threshold;

select a second state estimator operation setting when the state of charge of the battery is greater than the first threshold and less than a second threshold, wherein the second threshold is greater than the first threshold; and

select a third state estimator operation setting when the state of charge of the battery is greater than the second threshold; and

a second state estimator configured to estimate a second battery state of the battery based on the sensor readings and the selected state estimator operation settings;

wherein at least one of the first threshold and the second threshold is a dynamic threshold that depends on an amount of time since the state estimator operation setting has been selected.

9. The system of claim 8 , wherein the first state estimator and the second state estimator are the same.

10. The system of claim 8 , wherein the system inputs comprise an age of the battery, a system operation time, the sensor readings, control inputs for a desired operation profile of the battery, and a mode request.

11. The system of 8 , wherein the scheduler is further configured to update the state estimator operation settings based on the second battery state; and the second state estimator is further configured to update the second battery state of the battery based on the updated state estimator operation settings.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 23, 2026
From: ZITARA TECHNOLOGIES, INC.
To: FORTESCUE ZERO LIMITED
Reel/Frame 074158/0058 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 18, 2023
From: MURPHY, EVAN; SRINIVASAN, SHYAM; TOBENKIN, MARK; GIMA, ZACHARY; SUMMY, DUSTIN; GOODALL, BRIAN; GOLDBERG, ELIZABETH; XING, WEN; MASLYN, JACQUELINE; KUO, SHARON R.; RUDELIS, XANDER; STEFANSKI, JOHN; PITCAVAGE, MEGAN
To: ZITARA TECHNOLOGIES, INC.
Reel/Frame 064638/0868 →
Continuity (3)
Division 17959998 · Oct 4, 2022
Provisional Application 63251911 · Oct 4, 2021
Related Publication 20230393204A1 · Dec 7, 2023
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