US 12,092,699 B1
Systems and methods for state of health assessment in rechargeable batteries
Ali Ibrahim Ozkan, Istanbul (TR); Muharrem Ugur Yavas, Istanbul (TR); and Can Kurtulus, Istanbul (TR)
Assigned to Eatron Technologies Limited, Warwick (GB)
Filed by Eatron Technologies Limited, Warwick (GB)
Filed on Aug. 11, 2023, as Appl. No. 18/448,532.
Int. Cl. G01R 31/392 (2019.01); G01R 31/367 (2019.01); G01R 31/3828 (2019.01); G01R 31/3842 (2019.01)
CPC G01R 31/392 (2019.01) [G01R 31/367 (2019.01); G01R 31/3828 (2019.01); G01R 31/3842 (2019.01)] 30 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
generating an aging battery dataset comprising information pertaining to one or more age histories of electric vehicles, one or more cell manufacturer specifications, and one or more laboratory tests;
based on the information and one or more battery health metrics associated with one or more battery pack modules, predicting a first state of health of the one or more battery pack modules;
receiving a second state of health of the one or more battery pack modules, wherein the second state of health is determined based at least on one or more determined states of charges for the one or more battery pack modules;
determining an uncertainty for the second state of health using at least a rest duration after charging of the one or more battery pack modules and a rest duration before charging of the one or more battery pack modules;
based on the uncertainty, the first state of health, and the second state of health, determining a confidence score for the second state of health of the one or more battery pack modules; and
based on the confidence score for the second state of health, controlling operation of the one or more battery pack modules by changing a state of power or a charging state.