US 12,149,110 B2
Battery cell monitoring systems, battery packs, and methods of operation of the same
Remy Pottier, Grenoble (FR); Emre Özer, Buckden (GB); John Philip Biggs, Cambridge (GB); James Edward Myers, Great Wilbraham (GB); and Jedrzej Kufel, Cambridge (GB)
Assigned to Arm Limited, Cambridge (GB)
Filed by Arm Limited, Cambridge (GB)
Filed on Oct. 14, 2021, as Appl. No. 17/501,836.
Prior Publication US 2023/0117908 A1, Apr. 20, 2023
Int. Cl. H02J 7/00 (2006.01); G01R 31/382 (2019.01); G06N 20/00 (2019.01); H01M 10/48 (2006.01)
CPC H02J 7/0047 (2013.01) [G01R 31/382 (2019.01); G06N 20/00 (2019.01); H01M 10/482 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A battery cell monitoring system comprising:
a flexible substrate; and
components integrated onto the flexible substrate, wherein the components comprise:
a computing device; and
at least one sensor, wherein:
the at least one sensor is configured to generate sensor signals indicative of a physical state of the battery cell,
the computing device is configured to hold characteristic data values and the characteristic data values have been generated based on prior sensor signals,
the computing device is configured to receive the sensor signals from the at least one sensor and to generate battery cell status data in dependence on the sensor signals and the characteristic data values;
the characteristic data values have at least partially been generated by another battery cell monitoring system operating in a training phase, wherein the other battery cell monitoring system comprises machine learning capability configured to learn correspondences between patterns of sensor signals and classifications of battery cell physical states,
in the training phase the machine learning capability of the other battery cell monitoring system learned the correspondences and the characteristic data values generated by the other battery cell monitoring system have been transferred to the battery cell monitoring system, and
the battery cell status data is generated in dependence on an inferred classification in dependence on the sensor signals.