Method and apparatus for estimating state of battery

Patent metadata

Field	Value
Publication number	US-2021286008-A1
Application number	US-202117333062-A
Country	US
Kind code	A1
Filing date	May 28, 2021
Priority date	Nov 22, 2016
Publication date	Sep 16, 2021
Grant date	—

Abstract

According to one aspect, a method to estimate a state of a battery includes receiving physical quantity information about a sensed physical quantity of a battery, obtaining estimated information of the battery from a battery model based on the received physical quantity information. The battery model includes a training model configured to determine internal battery information comprising potential information of an internal material of the battery based on the physical quantity information and a mathematical function. The method further includes calculating an ion concentration in the battery using the mathematical function based on the internal battery information to determine the estimated information of the battery.

First claim

What is claimed is:

1 . A method to estimate a state of a battery, comprising:
receiving physical quantity information from a plurality of sensors; obtaining internal battery information from a neural network model by inputting input parameters corresponding to the physical quantity information into the neural network model; obtaining estimated information from at least one mathematical function by inputting the internal battery information into the mathematical function; and determining state information of the battery based on the estimated information.

2 . The method of claim 1 ,
wherein the neural network model comprises a training model configured to determine the internal battery information based on the physical quantity information.

3 . The method of claim 2 ,
wherein the training model is trained based on an output value in response to an input parameter of a reference battery and on an output parameter of the reference battery,

4 . The method of claim 1 ,
wherein the physical quantity comprises any one or any combination of any two or more of a sensed current, a sensed voltage, and a sensed temperature, and the state information comprises any one or any combination of any two or more of an internal temperature, an estimated voltage, and a state of charge (SoC) of the battery.

5 . The method of claim 1 ,
wherein at least one function is configured to calculate an ion concentration in the battery based on the internal battery information.

6 . A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the method of claim 1 .

7 . An apparatus for estimating a state of a battery, comprising:
a memory configured to maintain a neural network model and at least one mathematical function; and a controller configured to: receive physical quantity information from a plurality of sensors; obtain internal battery information from a neural network model by inputting input parameters corresponding to the physical quantity information into the neural network model; obtain estimated information from at least one mathematical function by inputting the internal battery information into the mathematical function; and determine state information of the battery based on the estimated information.

Assignees

• Samsung Electronics Co Ltd

Inventors

• Kim Jinho
• Park Sangdo
• Song Tae Won
• Kim Sungick

Classifications

• G06N3/08

  Learning methods · CPC title

• G01R31/367 Primary

  Software therefor, e.g. for battery testing using modelling or look-up tables · CPC title

• G01R31/3842

  combining voltage and current measurements · CPC title

• B60L58/10

  for monitoring or controlling batteries · CPC title

• G01R31/3648

  comprising digital calculation means, e.g. for performing an algorithm · CPC title