The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 14, 2026

Filed:

Dec. 16, 2022
Applicant:

The Aerospace Corporation, El Segundo, CA (US);

Inventor:

Albert Zimmerman, El Segundo, CA (US);

Assignee:

THE AEROSPACE CORPORATION, El Segundo, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 31/396 (2019.01); G01R 31/367 (2019.01); G01R 31/3835 (2019.01); G06N 3/0442 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G01R 31/396 (2019.01); G01R 31/367 (2019.01); G01R 31/3835 (2019.01); G06N 3/0442 (2023.01); G06N 3/045 (2023.01);
Abstract

Monitoring self-discharge in operating battery cells (i.e., actively charging or discharging) is disclosed. Cell voltage data over time is used to detect cell-to-cell charge voltage imbalance in a battery while battery cells are at their peak charge voltage. Resistors across each cell are switched on or off according to the average charge voltage imbalance. Actual resistor on-times are used as input to train a neural network in real time. The neural network learns the resistor duty cycle needed by each battery cell to precisely balance its self-discharge losses. If the self-discharge changes, the neural network retrains itself as the new data arrives. The neural network may include a Long Short-Term Memory (LSTM) network for each cell in the battery, which can learn the relative self-discharge rate of the respective cell.


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