Method and apparatus for estimating initial condition of battery

Patent metadata

Field	Value
Publication number	US-2017125853-A1
Application number	US-201615290718-A
Country	US
Kind code	A1
Filing date	Oct 11, 2016
Priority date	Nov 2, 2015
Publication date	May 4, 2017
Grant date	—

Abstract

An apparatus for estimating an initial condition of a battery includes a processor configured to calculate a stabilizing time of a lithium (Li) ion concentration in the battery, select an estimation model based on the stabilizing time, and estimate the initial condition of the battery to charge the battery using the selected estimation model.

First claim

What is claimed is:

1 . An apparatus for estimating an initial condition of a battery, comprising:
a processor configured to calculate a stabilizing time of a lithium (Li) ion concentration in the battery, select an estimation model based on the stabilizing time, and estimate the initial condition of the battery to charge the battery using the selected estimation model.

2 . The apparatus of claim 1 , further comprising a memory configured to store instructions,
wherein the processor is further configured to execute the instructions to configure the processor to calculate the stabilizing time of the Li ion concentration in the battery, select the estimation model based on the stabilizing time, and estimate the initial condition of the battery to charge the battery using the selected estimation model.

3 . The apparatus of claim 1 , wherein the processor comprises:
a stabilizing time calculator configured to calculate the stabilizing time of the Li ion concentration in the battery; a model selector configured to select the estimation model based on the stabilizing time; and an initial condition estimator configured to estimate the initial condition of the battery to charge the battery using the selected estimation model.

4 . The apparatus of claim 3 , wherein the stabilizing time calculator calculates a stabilizing time during which either one or both of the Li ion concentration in an electrode of the battery and the Li ion concentration in an electrolyte is stabilized from a use suspension time point of the battery.

5 . The apparatus of claim 4 , wherein the stabilizing time calculator calculates the stabilizing time based on any one or any combination of two or more of a diffusion coefficient of Li ions in a anode, a diffusion coefficient of the Li ions in the electrolyte, a particle size of the electrode, a thickness of the electrode, a battery state of charge (SOC) at the use suspension time point of the battery, and a temperature.

6 . The apparatus of claim 3 , wherein the model selector selects the estimation model at a battery reoperation time point based on the stabilizing time, and
the estimation model is an electrochemical model, an open circuit voltage (OCV) estimation method, or a combination of an electrochemical model and an open circuit voltage (OCV) estimation method.

7 . The apparatus of claim 6 , wherein, in response to the battery reoperation time point being within the stabilizing time, the model selector selects the electrochemical model as the estimation model.

8 . The apparatus of claim 7 , wherein the initial condition estimator calculates either one or both of battery SOC and the Li ion concentration at a use suspension time point of the battery, and estimates the initial condition of the battery using either one or both of an electrode reaction relationship and a concentration gradient of Li ions during a battery reoperation time.

9 . The apparatus of claim 8 , wherein the initial condition estimator functionalizes the electrochemical model as a function of a battery reoperation time at a use suspension time point of the battery.

10 . The apparatus of claim 8 , wherein, in response to a concentration gradient of Li ions being a set value or less, the initial condition estimator estimates the initial condition of the battery based on the battery SOC at a use suspension time point of the battery.

11 . The apparatus of claim 6 , wherein, in response to the battery reoperation time point being after the stabilizing time, the model selector selects the OCV estimation method as the estimation model, and
the initial condition estimator measures an OCV, and estimates the initial condition of the battery corresponding to the measured OCV by applying the OCV estimation method.

12 . The apparatus of claim 6 , wherein, in response to the battery reoperation time point being within a time period of a stabilizing time boundary, the model selector selects both of the electrochemical model and the OCV estimation method as the estimation models, and
the initial condition estimator applies a weighted value to each of the electrochemical model and the OCV estimation method according to a proximity degree of the battery reoperation time point.

13 . The apparatus of claim 3 , wherein the initial condition estimator estimates the initial condition of the battery based on a heat management condition comprising any one or any combination of two or more of a cell temperature, a cooling state, and a heating state.

14 . A method for estimating an initial condition of a battery, comprising:
calculating a stabilizing time of a lithium (Li) ion concentration in the battery; selecting an estimation model based on the stabilizing time; and estimating the initial condition of the battery to charge the battery using the selected estimation model.

15 . The method according to claim 14 , wherein the calculating of the stabilizing time comprises calculating a time during which either one or both of the Li ion concentration in an electrode of the battery and the Li ion concentration in an electrolyte is stabilized from a use suspension time point of the battery.

16 . The method according to claim 15 , wherein the calculating of the stabilizing time comprises calculating the stabilizing time based on any one or any combination of two or more of a diffusion coefficient of Li ions in an anode, a diffusion coefficient of the Li ions in the electrolyte, a particle size of the electrode, a thickness of the electrode, a battery state of charge (SOC) at the use suspension time point of the battery, and a temperature.

17 . The method according to claim 14 , wherein the selecting of the estimation model comprises selecting the estimation model at a battery reoperation time point based on the stabilizing time, and
the estimation model is one of an electrochemical model and an open circuit voltage (OCV) estimation method, or a combination of an electrochemical model and an open circuit voltage (OCV) estimation method.

18 . The method according to claim 17 , wherein, in response to the battery reoperation time point being within the stabilizing time, the selecting of the estimation model comprises selecting the electrochemical model as the estimation model.

19 . The method according to claim 18 , wherein the estimating of the initial condition comprises calculating either one or both of battery SOC and the Li ion concentration at a use suspension time point of the battery, and estimating the initial condition of the battery using either one or both of an electrode reaction relationship and a concentration gradient of Li ions during a battery reoperation time.

20 . The method according to claim 18 , wherein the estimating of the initial condition comprises functionalizing the electrochemical model as a function of a battery reoperation time at a use suspension time point of the battery.

21 . The method according to claim 18 , wherein, in response to a concentration gradient of Li ions being a set value or less, the estimating of the initial condition comprises estimating the initial condition of the battery based on the battery SOC at a use suspension time point of the battery.

22 . The method according to claim 17 , wherein, in response to the battery reoperation time point being after the stabilizing time, the selecting of the estimation model comprises selecting the OCV estimation method as the estimation model, and
the estimating of the initial c

Assignees

• Samsung Electronics Co Ltd

Inventors

• Song Tae Won
• Kim Sung Ick
• Kim Jin Ho
• Yeo Tae Jung

Classifications

• H01M10/484

  for measuring electrolyte level, electrolyte density or electrolyte conductivity · CPC title

• H01M10/486

  for measuring temperature · CPC title

• H01M10/0525 Primary

  Rocking-chair batteries, i.e. batteries with lithium insertion or intercalation in both electrodes; Lithium-ion batteries · CPC title

• H01M10/446 Primary

  Initial charging measures · CPC title

• G01R31/3651

  Physics · mapped topic