US 11,988,722 B2
Battery analysis system and method
Shyam Srinivasan, San Francisco, CA (US); Evan Murphy, San Francisco, CA (US); Jacqueline Maslyn, San Francisco, CA (US); Dustin Summy, San Francisco, CA (US); Brian Goodall, San Francisco, CA (US); Sharon R. Kuo, San Francisco, CA (US); Megan Pitcavage, San Francisco, CA (US); Zachary Gima, San Francisco, CA (US); and John Stefanski, San Francisco, CA (US)
Assigned to Zitara Technologies, Inc., San Francisco, CA (US)
Filed by Zitara Technologies, Inc., San Francisco, CA (US)
Filed on Dec. 16, 2022, as Appl. No. 18/082,708.
Application 18/082,708 is a continuation of application No. 17/502,565, filed on Oct. 15, 2021, granted, now 11,656,296.
Application 17/502,565 is a continuation of application No. 17/314,867, filed on May 7, 2021, granted, now 11,181,587, issued on Nov. 23, 2021.
Claims priority of provisional application 63/168,015, filed on Mar. 30, 2021.
Claims priority of provisional application 63/021,604, filed on May 7, 2020.
Prior Publication US 2023/0123124 A1, Apr. 20, 2023
Int. Cl. G01R 31/396 (2019.01); G01R 31/367 (2019.01); G01R 31/374 (2019.01); G01R 31/3842 (2019.01); G01R 31/389 (2019.01); G01R 31/392 (2019.01); G06F 30/27 (2020.01); H01M 10/42 (2006.01); H01M 10/48 (2006.01)
CPC G01R 31/396 (2019.01) [G01R 31/367 (2019.01); G01R 31/374 (2019.01); G01R 31/3842 (2019.01); G01R 31/389 (2019.01); G01R 31/392 (2019.01); G06F 30/27 (2020.01); H01M 10/425 (2013.01); H01M 10/48 (2013.01); H01M 10/482 (2013.01); H01M 10/486 (2013.01); H01M 2010/4271 (2013.01); H01M 2010/4278 (2013.01); H01M 2220/20 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A system configured to estimate a battery state of a battery comprising:
a sensor connected to the battery that measures sensor data comprising at least one of a voltage, current, or temperature of the battery;
a first processor collocated with the battery, wherein the first processor comprises a first state estimator configured to estimate the battery state using a model operating on the sensor data associated with the battery, wherein the first state estimator receives the sensor data from the sensor; and
a second processor operating on a cloud computing server, wherein the second processor comprises a second state estimator configured to, at a first frequency, estimate a set of parameters associated with the model based on a set of sensor data associated with a plurality of batteries, wherein the second processor transmits the set of parameters to the first state estimator; wherein the battery state is estimated at a second frequency that is greater than the first frequency.