US 11,784,358 B2
Self regulating modular battery
Eric Joseph Nemanick, Santa Monica, CA (US); Ann L. Chervenak, Los Angeles, CA (US); Joseph Z. Fuerst, Beavercreek, OH (US); Andrew Brethorst, Hawthorne, CA (US); Michael R. Hale, West Hollywood, CA (US); Kevin Macdougall, Torrance, CA (US); and Justin Stocker, Sherman Oaks, CA (US)
Assigned to THE AEROSPACE CORPORATION, El Segundo, CA (US)
Filed by The Aerospace Corporation, El Segundo, CA (US)
Filed on Jul. 7, 2021, as Appl. No. 17/369,895.
Prior Publication US 2023/0012390 A1, Jan. 12, 2023
Int. Cl. H01M 10/48 (2006.01); H01M 10/42 (2006.01)
CPC H01M 10/48 (2013.01) [H01M 10/4257 (2013.01); H01M 2010/4271 (2013.01); H01M 2010/4278 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A system for self-regulating a battery, comprising: a machine learning module receiving battery parameter history and generating a battery degradation forecast and one or more probability weighted demand forecasts; a battery state of health (SoH) module computing an updated battery model using one or more internal battery parameters and the battery degradation forecast; a power system module generating, from the updated battery model, one or more module support plans where one of the one or more module support plans is used as a power out plan for a battery management unit, wherein the one or more module support plans are evaluated against one or more battery requirements to generate a usage score to be assigned to each of the one or more module support plans.