US 11,837,703 B2
State-of-health models for lithium-silicon batteries
Samuel Keene, Irvine, CA (US); and Benjamin Yong Park, Mission Viejo, CA (US)
Assigned to ENEVATE CORPORATION, Irvine, CA (US)
Filed by ENEVATE CORPORATION, Irvine, CA (US)
Filed on Dec. 13, 2021, as Appl. No. 17/548,845.
Prior Publication US 2023/0187710 A1, Jun. 15, 2023
Int. Cl. H01M 10/42 (2006.01); H01M 10/0525 (2010.01)
CPC H01M 10/425 (2013.01) [H01M 10/0525 (2013.01); H01M 2010/4271 (2013.01); H01M 2220/20 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for managing a lithium-ion cell, the method comprising:
assessing state-of-health (SOH) of the lithium-ion cell, wherein:
the assessing comprises calculating the state-of-health (SOH) using an enhanced state-of-health (SOH) model, and
the enhanced state-of-health (SOH) model uses input data, wherein at least a portion of the input data is obtained from sources other than the lithium-ion cell, and wherein the input data comprises data acquired during operation of the lithium-ion cell and/or data acquired during manufacturing and initialization of the lithium-ion cell or electrodes of the lithium-ion cell; and
training the enhanced state-of-health (SOH) model using training data that is adaptively configured based on the lithium-ion cell.