Apparatus and method for estimating state of battery

Patent metadata

Field	Value
Publication number	US-2017205469-A1
Application number	US-201715405650-A
Country	US
Kind code	A1
Filing date	Jan 13, 2017
Priority date	Jan 14, 2016
Publication date	Jul 20, 2017
Grant date	—

Abstract

Apparatus and method for estimating a state of a battery is provided. According to one aspect, a battery state estimation apparatus includes a state of health (SOH) estimator configured to estimate SOH of a battery based on degradation of the battery and the data acquired from the battery, and a state of charge (SOC) estimator configured to estimate the SOC of the battery based on the SOH of the battery.

First claim

What is claimed is:

1 . An apparatus to estimate a state of a battery, the apparatus comprising:
a processor configured to estimate a state of health (SOH) of the battery due to degradation of the battery based on data acquired from the battery; and estimate a state of charge (SOC) of the battery based on the SOH of the battery.

2 . The apparatus of claim 1 , wherein the processor comprises:
a state of health (SOH) estimator configured to estimate the SOH of the battery due to the degradation of the battery based on the data acquired from the battery; and a state of charge (SOC) estimator configured to estimate the SOC of the battery based on the SOH of the battery.

3 . The apparatus of claim 2 , further comprising a data collector configured to collect any one or any combination of a voltage, a current, a temperature, a current rate, and charge/discharge cycle of the battery.

4 . The apparatus of claim 2 , wherein the SOH estimator is further configured to apply the collected data to a pre-learned data analysis technique to estimate the SOH of the battery.

5 . The apparatus of claim 4 , wherein the data analysis technique considers a degradation level of operation of the battery based on any one or any combination of a neural network and deep learning.

6 . The apparatus of claim 2 , wherein the SOC estimator is further configured to update a parameter of an electrode of the battery based on the SOH of the battery and to estimate the SOC of the battery based on the updated parameter.

7 . The apparatus of claim 6 , wherein the parameter of the electrode comprises any one or any combination of an electrode volume ratio, a film resistance, and a particle size of an electrode.

8 . The apparatus of claim 6 , wherein the SOC estimator estimates a parameter update cycle based on any one or any combination of a battery capacity, a battery operation time, a charge/discharge time of the battery, and a number of charge/discharge cycles of the battery.

9 . The apparatus of claim 6 , wherein the SOC estimator is further configured to apply the updated parameter to an electrochemical model to estimate a battery state comprising potential and density distribution.

10 . The apparatus of claim 1 , wherein the degradation of the battery is estimated based on operation data of the battery.

11 . A method to estimate a state of a battery, the method comprising:
estimating a state of health (SOH) of the battery due to degradation of the battery based on data acquired from the battery; and estimating a state of charge (SOC) of the battery based on the SOH of the battery.

12 . The method of claim 11 , further comprising:
collecting data any one or any combination of a voltage, a current, a temperature, a current rate, and charge/discharge cycle of the battery.

13 . The method of claim 11 , wherein the estimating of the SOH of the battery comprises applying the collected data to a pre-learned data analysis technique to estimate the SOH of the battery.

14 . The method of claim 13 , wherein the data analysis technique considers a degradation level of operation of the battery based on any one or any combination of a neural network and deep learning.

15 . The method of claim 11 , wherein the estimating of the SOC of the battery further comprises estimating a parameter update cycle based on any one or any combination of a battery capacity, a battery operation time, a charge/discharge time of the battery, and a number of charge/discharge cycles of the battery.

16 . The method of claim 11 , wherein the estimating of the SOC of the battery comprises updating a parameter of an electrode by reflecting the SOH of the battery and estimating the SOC of the battery based on the updated parameter.

17 . The method of claim 16 , wherein the parameter of the electrode comprises any one or any combination of an electrode volume ratio, a film resistance, and a particle size of an electrode.

18 . The method of claim 16 , wherein the estimating of the SOC of the battery comprises applying the updated parameter to an electrochemical model to estimate a battery state comprising potential and density distribution.

19 . A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the method of claim 11 .

Assignees

• Samsung Electronics Co Ltd

Inventors

• Song Tae Won
• Park Sang Do
• Yeo Tae Jung
• Kim Jin Ho

Classifications

• G01R31/382

  Arrangements for monitoring battery or accumulator variables, e.g. SoC · CPC title

• G01R31/392 Primary

  Determining battery ageing or deterioration, e.g. state of health · CPC title

• G01R31/367

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

• H01M10/48

  Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte (constructional details of current conducting connections for detecting conditions inside cells or batteries, e.g. details of voltage sensing terminals, H01M50/569) · CPC title

• G01R31/3651

  Physics · mapped topic