Apparatus for mining battery characteristic data having sensitivity to solid phase diffusion coefficient of battery electrode and method thereof

Patent metadata

Field	Value
Publication number	US-2022011370-A1
Application number	US-202117370336-A
Country	US
Kind code	A1
Filing date	Jul 8, 2021
Priority date	Jul 9, 2020
Publication date	Jan 13, 2022
Grant date	—

Abstract

Disclosed is an apparatus and method for mining battery characteristic data, which calculates a particle surface concentration (cse,i) of lithium from a first state space model derived from a Pade approximation equation of a transcendental transfer function, calculates a change ratio∂cse,i⁡(t)∂Ds,iof the particle surface concentration to the change in the solid phase diffusion coefficient from a second state space model for the partial derivative of the solid phase diffusion coefficient (Ds,i) of the electrode with respect to the Pade approximation equation, calculates an open circuit potential slope∂Ui∂cse,icorresponding to the particle surface concentration by using an open circuit potential function (Ui), and stores voltage-current data in which the sensitivity of the battery voltage to the solid phase diffusion coefficient of the electrode calculated from∂Ui∂cse,i⁢⁢and⁢⁢∂cse,i⁡(t)∂Ds,iis greater than or equal to a threshold as mined characteristic data.

First claim

1 . An apparatus for mining battery characteristic data having sensitivity to a solid phase diffusion coefficient of a battery electrode, comprising:
a storage unit configured to store data; a voltage measuring unit, a current measuring unit, and a temperature measuring unit, respectively, configured to measure voltage, current, and temperature of a battery; and a control unit operably coupled to the storage unit as well as the voltage measuring unit, the current measuring unit, and the temperature measuring unit, wherein the control unit is configured to: (a) generate a Pade approximation equation for a transcendental transfer function from a battery current to a particle surface concentration of lithium inserted into the electrode in a frequency domain; (b) generate a first state space model for the Pade approximation equation and a second state space model for partial derivative of a solid phase diffusion coefficient of the electrode with respect to the Pade approximation equation; (c) obtain a data stream including a voltage measurement value, a current measurement value and a temperature measurement value of the battery; (d) input the current measurement value into the first state space model to calculate the particle surface concentration of lithium inserted into the electrode; (e) input the current measurement value into the second state space model to calculate a change ratio of the particle surface concentration to the change in the solid phase diffusion coefficient; (f) calculate an open circuit potential slope corresponding to the calculated particle surface concentration using an open circuit potential function according to the particle surface concentration; (g) quantitatively estimate the sensitivity of a battery voltage for the solid phase diffusion coefficient of the electrode from the open circuit potential slope and the change ratio of the particle surface concentration to the change in the solid phase diffusion coefficient; and (h) select voltage-current data having sensitivity greater than or equal to a threshold and recording the same as mined characteristic data in the storage unit.

2 . The apparatus according to claim 1 ,
wherein the control unit is configured to generate the transcendental transfer function expressed by the following equation:

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Assignees

• Lg Energy Solution Ltd

Inventors

• Kim Geum-Bee
• Lai Qingzhi
• Lin Xinfan
• Ahn Hyoung Jun
• Joe Won-Tae

Classifications

• G06F2216/03

  Data mining · CPC title

• G06F17/17

  Function evaluation by approximation methods, e.g. inter- or extrapolation, smoothing, least mean square method ({G06F17/18 takes precedence } ; interpolation for numerical control G05B19/18) · CPC title

• G01R31/367 Primary

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

• G06F17/14

  Fourier, Walsh or analogous domain transformations {, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms (for correlation function computation G06F17/156; spectrum analysers G01R23/16)} · CPC title

• G01R31/3648 Primary

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