US 11,772,514 B2
Systems and methods for predicting degradation of a battery for use in an electric vehicle
Steven J. Foland, Garland, TX (US)
Assigned to BETA AIR, LLC, South Burlington, VT (US)
Filed by BETA AIR, LLC, South Burlington, VT (US)
Filed on Dec. 28, 2022, as Appl. No. 18/90,336.
Application 18/090,336 is a continuation of application No. 17/524,265, filed on Nov. 11, 2021, granted, now 11,577,625.
Prior Publication US 2023/0173946 A1, Jun. 8, 2023
Int. Cl. B60L 58/16 (2019.01); B60L 58/12 (2019.01); G06N 5/022 (2023.01); B64D 27/24 (2006.01)
CPC B60L 58/16 (2019.02) [B60L 58/12 (2019.02); B64D 27/24 (2013.01); G06N 5/022 (2013.01); B60L 2200/10 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for predicting a battery lifetime of a battery during use in an electric vehicle, the system comprising:
a computing device communicatively connected to at least a pack monitor unit, wherein:
the at least a pack monitor unit is configured to detect a battery pack datum of a plurality of battery modules incorporated in a battery pack;
the computing device is configured to:
receive the battery pack datum as a function of the at least a pack monitor unit;
generate, as a function of the battery pack datum, a digital twin comprising a battery pack model associated with the battery pack of the electric vehicle;
receive periodic instances of battery pack data;
periodically update the digital twin as a function of the received battery pack data;
simulate a virtual representation of the digital twin; and
predict the battery lifetime of the battery pack as a function of the virtual representation.