IP Library › Granted Patent US 11,912,158
Granted Patent B2
US 11,912,158 · App. 17/420,867 · Granted Feb 27, 2024

Battery management apparatus, battery management method, battery pack, and electric vehicle

Inventor: Bo-Kyung Seo (Daejeon, KR)
Assignee: LG ENERGY SOLUTION, LTD.
B60L58/12G01R31/374G01R31/388H01M10/425H01M10/486H02J7/0048B60L2240/545B60Y2200/91H01M2010/4271H02J7/00712
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Quick Facts
Patent No.
US 11,912,158
App. No.
17/420,867
Granted
Feb 27, 2024
Kind
B2
Abstract

A battery management apparatus according to the present disclosure includes a memory to store a charging sequence table that records a correspondence relationship between first to m th temperature ranges, first to m th SOC lists and first to m th current lists, a sensing unit to detect a voltage, a current and a temperature of a battery, and a control unit. Each of the SOC lists defines first to n th SOC ranges. The control unit determines a current SOC of the battery based on the detected voltage and the detected current. The control unit determines a temperature range of interest, a SOC list of interest and a current list of interest based on the detected temperature. The control unit determines a remaining charging time required to charge the battery to a target SOC based on the detected current, the current SOC, the SOC list of interest and the current list of interest.

Claims (312)

1. A battery management apparatus, comprising:

a memory configured to store a charging sequence table that records a correspondence relationship between first to m th temperature ranges, first to m th state of charge (SOC) lists, and first to m th current lists, where m is a natural number of 2 or greater;

a sensing unit configured to detect a voltage, a current, and a temperature of a battery; and

a controller operably coupled to the memory and the sensing unit,

wherein each of the SOC lists defines first to n th SOC ranges, where n is a natural number of 2 or greater,

wherein each of the current lists defines first to n th allowable constant currents corresponding to the first to n th SOC ranges in a one-to-one relationship, and

wherein the controller is configured to:

determine a current SOC of the battery based on the detected voltage and the detected current,

determine a temperature range of interest, a SOC list of interest, and a current list of interest from the charging sequence table based on the detected temperature, the temperature range of interest being a temperature range to which the detected temperature belongs among the first to m th temperature ranges, the SOC list of interest being a SOC list corresponding to the temperature range of interest among the first to m th SOC lists, the current list of interest being a current list corresponding to the temperature range of interest among the first to m th current lists,

determine first to n th set capacities corresponding to the first to n th SOC ranges defined by the SOC list of interest in a one-to-one relationship,

determine first to n th target capacities for charging the battery in each of the first to n th SOC ranges defined by the SOC list of interest, based on the current SOC and the first to n th set capacities, and

determine a remaining charging time required to charge the battery to a target SOC based on the detected current, the first to n th target capacities, and the first to n th allowable constant currents defined by the current list of interest.

2. The battery management apparatus according to claim 1 , wherein the controller is further configured to:

determine first to n th range estimated times required to charge the battery in each of the first to n th SOC ranges, using the following Equation 1:

Δ

⁢

T

r

[

j

]

=

Δ

⁢

Q

tg

[

j

]

MIN

(

I

m

,

I

[

j

]

)

,

<

Equation

⁢

1

>

where, in Equation 1:

j denotes a natural number of n or smaller,

I n denotes the detected current,

I[j] denotes the i th allowable constant current,

MIN(I m , I[j]) denotes a smaller one of I m and I[j],

ΔQ tg [j] denotes the j th target capacity, and

ΔT r [j] denotes the i th range estimated time.

3. The battery management apparatus according to claim 2 , wherein the controller is further configured to determine the remaining charging time to be equal to a sum of the first to n th range estimated times.

4. The battery management apparatus according to claim 2 , wherein the controller is further configured to determine first to n th range spent times spent in charging in each of the first to n th SOC ranges while the battery is being charged to the target SOC according to a target charging sequence corresponding to the SOC list of interest and the current list of interest.

5. The battery management apparatus according to claim 4 , wherein the controller is further configured to:

determine first to n th capacity losses corresponding to the first to n th SOC ranges in a one-to-one relationship, based on the first to n th range estimated times and the first to n th range spent times; and

update the SOC list of interest based on the first to n th capacity losses.

6. The battery management apparatus according to claim 5 , wherein the controller is further configured to determine the first to n th capacity losses using the following Equation 2:

Δ

⁢

Q

loss

[

j

]

=

(

Δ

⁢

T

r

[

j

]

-

Δ

⁢

T

s

[

j

]

)

×

M

⁢

IN

⁡

(

I

m

,

I

[

j

]

)

,

<

Equation

⁢

2

>

where, in Equation 2:

ΔT s [j] denotes the j th range spent time, and

ΔQ loss [j] denotes the j th capacity loss.

7. The battery management apparatus according to claim 6 , wherein the controller is further configured to update the SOC list of interest using the following Equation 3:

SOC

limit

[

j

]

=

1

Q

max

×

∑

k

=

1

j

(

Δ

⁢

Q

s

⁢

e

⁢

t

[

k

]

-

Δ

⁢

Q

loss

[

k

]

)

×

100

⁢

%

,

<

Equation

⁢

3

>

where, in Equation 3:

ΔQ set [k] denotes the k th set capacity,

Q max denotes a predetermined maximum capacity, and

SOC limit [j] denotes an upper limit of the j th SOC range defined by the updated SOC list of interest.

8. A battery pack comprising the battery management apparatus according to claim 1 .

9. An electric vehicle comprising the battery pack according to claim 8 .

10. A battery management method performed by the battery management apparatus according to claim 1 , the battery management method comprising:

detecting, by the sensing unit, a voltage, a current, and a temperature of the battery;

determining, by the controller, a current state of charge (SOC) of the battery based on the detected voltage and the detected current;

determining, by the controller, the temperature range of interest, the SOC list of interest, and the current list of interest from the charging sequence table;

determining, by the controller, first to n th set capacities corresponding to the first to n th SOC ranges defined by the SOC list of interest in a one-to-one relationship;

determining first to n th target capacities for charging the battery in each of the first to n th SOC ranges defined by the SOC list of interest, based on the current SOC and the first to n th set capacities; and

determining, by the controller, the remaining charging time based on the detected current, the first to n th target capacities, and the first to n th allowable constant currents defined by the current list of interest.

11. The battery management method of claim 10 , wherein the determining of the charging time includes:

determining first to n th range estimated times required to charge the battery in each of the first to n th SOC ranges, using the following Equation 1:

Δ

⁢

T

r

[

j

]

=

Δ

⁢

Q

tg

[

j

]

MIN

(

I

m

,

I

[

j

]

)

,

<

Equation

⁢

1

>

where, in Equation 1:

j denotes a natural number of n or smaller,

I m denotes the detected current,

I[j] denotes the i th allowable constant current,

MIN(I m , I[j]) denotes a smaller one of I m and I[j],

ΔQ tg [j] denotes the j th target capacity, and

ΔT r [j] denotes the i th range estimated time.

12. The battery management method of claim 11 , wherein the determining of the remaining time includes determining the remaining charging time to be equal to a sum of the first to n th range estimated times.

13. The battery management method of claim 11 , further comprising:

determining, by the controller, first to n th range spent times spent in charging in each of the first to n th SOC ranges while the battery is being charged to the target SOC according to a target charging sequence corresponding to the SOC list of interest and the current list of interest.

14. The battery management method of claim 13 , further comprising:

determining, by the controller, first to n th capacity losses corresponding to the first to n th SOC ranges in a one-to-one relationship, based on the first to n th range estimated times and the first to n th range spent times; and

updating the SOC list of interest based on the first to n th capacity losses.

15. The battery management method of claim 14 , wherein the determining of the first to n th capacity losses includes the determining the first to n th capacity losses using the following Equation 2:

Δ

⁢

Q

loss

[

j

]

=

(

Δ

⁢

T

r

[

j

]

-

Δ

⁢

T

s

[

j

]

)

×

M

⁢

IN

⁡

(

I

m

,

I

[

j

]

)

,

<

Equation

⁢

2

>

where, in Equation 2:

ΔT s [j] denotes the j th range spent time, and

ΔQ loss [j] denotes the j th capacity loss.

16. The battery management method of claim 15 , wherein the updating of the SOC list of interest includes updating the SOC list of interest using the following Equation 3:

SOC

limit

[

j

]

=

1

Q

max

×

∑

k

=

1

j

(

Δ

⁢

Q

s

⁢

e

⁢

t

[

k

]

-

Δ

⁢

Q

loss

[

k

]

)

×

100

⁢

%

,

<

Equation

⁢

3

>

where, in Equation 3:

ΔQ set [k] denotes the k th set capacity,

Q max denotes a predetermined maximum capacity, and

SOC limit [j] denotes an upper limit of the j th SOC range defined by the updated SOC list of interest.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 6, 2021
From: SEO, BO-KYUNG
To: LG ENERGY SOLUTION, LTD.
Reel/Frame 056765/0508 →
Priority Claims (1)
KR 10-2019-0110759 · Sep 6, 2019 · national
Continuity (1)
Related Publication 20210370796A1 · Dec 2, 2021
Cited By (3)
US 12,370,922 US 12,695,325 US 12,732,012