US 12,372,583 B2
Neural network State-of-Charge estimation
Ephram Chemali, Ontario (CA); and Matthias Preindl, New York, NY (US)
Assigned to The Trustees of Columbia University in the City of New York, New York, NY (US); and McMaster University, Hamilton (CA)
Filed by The Trustees of Columbia University in the City of New York, New York, NY (US); and McMaster University, Hamilton (CA)
Filed on Oct. 8, 2021, as Appl. No. 17/497,537.
Application 17/497,537 is a continuation of application No. 16/194,596, filed on Nov. 19, 2018, granted, now 11,171,498.
Claims priority of provisional application 62/588,510, filed on Nov. 20, 2017.
Prior Publication US 2022/0271549 A1, Aug. 25, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G01R 31/382 (2019.01); G06N 3/04 (2023.01); H02J 7/00 (2006.01); G06N 3/08 (2023.01); H01M 10/42 (2006.01)
CPC G01R 31/382 (2019.01) [G06N 3/04 (2013.01); H02J 7/0047 (2013.01); H02J 7/0048 (2020.01); H02J 7/007192 (2020.01); G06N 3/08 (2013.01); H01M 10/4257 (2013.01); H02J 7/005 (2020.01)] 22 Claims
OG exemplary drawing
 
1. A method for monitoring battery operation, the method comprising:
receiving, by a trained model, a time series of values of battery attributes for a battery that are determined based on measurements performed by one or more sensors monitoring the battery,
wherein the battery attributes include:
an ambient temperature, and
one or both of a battery voltage and a battery current, and
wherein a portion of the time series of values of battery attributes represents battery attributes of the battery during a charging cycle and another portion of the time series of values of battery attributes of the battery represents battery attributes of the battery during a discharging cycle; and
generating, by the trained model, based on the received time series, a state estimate for the battery,
wherein the trained model is a single, processor-based trained model that is trained to generate state estimates for the battery during charging cycles of the battery and during discharging cycles of the battery.