US 11,981,228 B2
Battery health monitoring and failure identification
Shiming Duan, Ann Arbor, MI (US); Chaitanya Sankavaram, Rochester Hills, MI (US); and Xiaomeng Peng, Malden, MA (US)
Assigned to GM GLOBAL TECHNOLOGY OPERATIONS LLC, Detroit, MI (US)
Filed by GM GLOBAL TECHNOLOGY OPERATIONS LLC, Detroit, MI (US)
Filed on Mar. 18, 2022, as Appl. No. 17/698,204.
Prior Publication US 2023/0294554 A1, Sep. 21, 2023
Int. Cl. B60L 58/16 (2019.01); G01R 31/367 (2019.01); G01R 31/392 (2019.01)
CPC B60L 58/16 (2019.02) [G01R 31/367 (2019.01); G01R 31/392 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A system for monitoring a battery assembly, comprising:
a processing device configured to receive measurement data from a plurality of battery components, the processing device configured to perform:
inputting the measurement data to a battery model, the battery model configured to determine battery parametric data, the parametric data configured to be used to determine whether the battery assembly is in a healthy condition; and
based on the battery model, acquiring the parametric data, and performing:
extracting statistical information based on at least one parameter of each battery component of the plurality of battery components;
inputting the statistical information to a failure identification module, the failure identification module including a first classifier configured to determine whether the battery assembly is in a failure condition based on the statistical information; and
outputting a health indicator, the health indicator having a first value indicating that the battery assembly is healthy based on first classifier determining that the battery assembly is in the healthy condition, and the health indicator having a faulty value based on the first classifier determining that the battery assembly is in a failure condition.