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:
Apr. 06, 2021

Filed:

Oct. 26, 2020
Applicants:

Arif Sarwat, Miami, FL (US);

Asadullah Khalid, Miami, FL (US);

Aditya Sundararajan, Miami, FL (US);

Inventors:

Arif Sarwat, Miami, FL (US);

Asadullah Khalid, Miami, FL (US);

Aditya Sundararajan, Miami, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 31/367 (2019.01); G01R 31/36 (2020.01); G01R 31/387 (2019.01);
U.S. Cl.
CPC ...
G01R 31/367 (2019.01); G01R 31/3648 (2013.01); G01R 31/387 (2019.01);
Abstract

Systems and methods for forecasting of State of Charge (SOC) of lithium ion batteries are provided. A multi-step forecasting process with experimentally obtained decreasing C-Rate datasets together with machine learning can be used. The multi-step approach can combine a univariate technique with machine learning techniques. An Auto Regressive Integrated Moving Average (ARIMA) and/or Holt Winters Exponential Smoothing (HWES) can be combined with each other and/or with machine learning techniques such as Multilayer Perceptron (MLP) and Nonlinear autoregressive neural network with external input (NARX-net).


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