IP Library Granted Patent US 10,175,303
Granted Patent B2
US 10,175,303 · App. 15/030,658 · Granted Jan 8, 2019

Battery parameter estimation device and parameter estimation method

Inventors: Atsushi Baba (Saitama, JP); Shuichi Adachi (Tokyo, JP); Ichiro Maruta (Kyoto, JP)
Assignees: CALSONIC KANSEI CORPORATION; KEIO UNIVERSITY; KYOTO UNIVERSITY
G01R31/3662G01R31/36G01R31/3648G01R31/3651H01M10/48H02J7/0021G01R31/3624H01M2010/4271Y02T10/7055
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Quick Facts
Patent No.
US 10,175,303
App. No.
15/030,658
Granted
Jan 8, 2019
Kind
B2
Abstract

An apparatus and method for battery parameter estimation estimate the parameters of a battery equivalent circuit model while reducing the computation load. The apparatus includes a charge/discharge current detector ( 3 ) that detects a charge/discharge current value of a battery ( 1 ); a terminal voltage detector ( 2 ) that detects a terminal voltage value of the battery ( 1 ); and an estimator ( 4 ) that estimates, based on the charge/discharge current value and the terminal voltage value, parameters in a battery equivalent circuit model ( 41 ) that approximates the Warburg impedance of the battery ( 1 ).

Claims (67)

1. An apparatus for battery parameter estimation, the apparatus comprising:

a charge/discharge current detector configured to detect a charge/discharge current value of a battery;

a terminal voltage detector configured to detect a terminal voltage value of the battery; and

an estimator configured to estimate parameters in a battery equivalent circuit model that includes an approximate circuit of a Warburg impedance of the battery,

wherein the estimator estimates a diffusion resistance R d and a diffusion capacitance C d of the battery based on the charge/discharge current value and the terminal voltage value, and translates the estimated diffusion resistance R d and the estimated diffusion capacitance C d to the parameters.

2. The apparatus of claim 1 , wherein the estimator translates the estimated diffusion resistance R d and the estimated diffusion capacitance C d to the parameters based on approximate equations of the Warburg impedance.

3. The apparatus of claim 2 , wherein

the equivalent circuit model is an n-th order Foster equivalent circuit model, and

the estimator translates the estimated diffusion resistance R d and the estimated diffusion capacitance C d to the parameters with the following approximate equations:

C

n

=

C

d

2

R

n

=

8

R

d

(

2

n

-

1

)

2

π

2

.

4. The apparatus of claim 2 , wherein

the equivalent circuit model is an n-th order Cauer equivalent circuit model, and

the estimator translates the estimated diffusion resistance R d and the estimated diffusion capacitance C d to the parameters with the following approximate equations:

C

n

=

C

d

4

n

-

1

R

n

=

R

d

4

n

-

3

.

5. The apparatus of claim 1 , wherein the estimator estimates an internal state quantity of the battery at a same time as the parameters in the equivalent circuit model.

6. The apparatus of claim 2 , wherein the estimator estimates an internal state quantity of the battery at a same time as the parameters in the equivalent circuit model.

7. The apparatus of claim 3 , wherein the estimator estimates an internal state quantity of the battery at a same time as the parameters in the equivalent circuit model.

8. The apparatus of claim 4 , wherein the estimator estimates an internal state quantity of the battery at a same time as the parameters in the equivalent circuit model.

9. A method for battery parameter estimation, the method comprising:

detecting a charge/discharge current value of a battery;

detecting a terminal voltage value of the battery; and

estimating parameters in a battery equivalent circuit model that includes an approximation circuit approximating a Warburg impedance of the battery,

wherein estimating parameters comprises estimating a diffusion resistance R d and a diffusion capacitance C d of the battery based on the charge/discharge current value and the terminal voltage value, and translating the estimated diffusion resistance R d and the estimated diffusion capacitance C d to the parameters.

Assignments (5)
CHANGE OF NAME Recorded Jun 12, 2025
From: CALSONIC KANSEI CORPORATION
To: MARELLI CORPORATION
Reel/Frame 071577/0598 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 12, 2024
From: KEIO UNIVERSITY; KYOTO UNIVERSITY
To: MARELLI CORPORATION
Reel/Frame 068250/0577 →
CHANGE OF NAME Recorded Jul 23, 2024
From: CALSONIC KANSEI CORPORATION
To: MARELLI CORPORATION
Reel/Frame 068052/0399 →
CHANGE OF ADDRESS Recorded Jul 23, 2024
From: MARELLI CORPORATION
To: MARELLI CORPORATION
Reel/Frame 068490/0722 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 20, 2016
From: BABA, ATSUSHI; ADACHI, SHUICHI; MARUTA, ICHIRO
To: CALSONIC KANSEI CORPORATION; KEIO UNIVERSITY; KYOTO UNIVERSITY
Reel/Frame 038330/0816 →
Priority Claims (1)
JP 2013-218663 · Oct 21, 2013 · national
Continuity (1)
Related Publication 20160252585A1 · Sep 1, 2016
Cited By (2)
US 12,372,582 US 12,394,998