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:
Feb. 14, 2023

Filed:

Nov. 09, 2020
Applicant:

Wuhan University, Hubei, CN;

Inventors:

Yigang He, Hubei, CN;

Yuan Chen, Hubei, CN;

Zhong Li, Hubei, CN;

Guolong Shi, Hubei, CN;

Liulu He, Hubei, CN;

Chaolong Zhang, Hubei, CN;

Assignee:

WUHAN UNIVERSITY, Hubei, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 31/367 (2019.01); G01R 31/36 (2020.01); H02J 7/00 (2006.01);
U.S. Cl.
CPC ...
G01R 31/367 (2019.01); G01R 31/3648 (2013.01); H02J 7/0047 (2013.01);
Abstract

A method and a system for identifying third-order model parameters of a lithium battery based on a likelihood function are provided, which relates to a method for estimating battery model parameters of a lithium battery under different temperatures, different system-on-chips (SOCs), and charge-discharge currents. The method includes the following steps. A third-order battery model of the lithium battery is established. A battery model output voltage Uand a total battery current I under different temperatures, different SOCs, and charge-discharge currents are collected. The likelihood function is adopted to construct an identification model, and the collected data is substituted into the identification model to calculate the battery model parameters. Identified parameters are substituted into the third-order battery model to obtain a battery terminal voltage to be compared with a measured terminal voltage. The operation method of the disclosure is simple and effective, and can accurately estimate internal resistance parameters of the lithium battery.


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