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a
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iffere
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AE
KF
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L
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CC B
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C
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A
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:
Yu
s
Nata
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Dep
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tm
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Facu
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Un
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s
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Daa
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Mo
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Ked
a
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Kali
An
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k
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C
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k
ar
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W
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ar
ta
1
1
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I
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d
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m
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y
u
s
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atali@
telk
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m
u
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s
ity
.
ac
.
id
1.
I
NT
RO
D
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I
O
N
L
ith
iu
m
-
io
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b
atter
ies
ar
e
ex
te
n
s
iv
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tili
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d
f
o
r
en
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g
y
s
to
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ag
e
ac
r
o
s
s
a
r
an
g
e
o
f
a
p
p
licatio
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s
[
1
]
.
I
t
h
as b
ee
n
f
av
o
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i
n
r
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en
t tim
es d
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to
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v
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cr
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s
ity
,
an
d
co
m
m
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ab
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lo
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g
ev
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[
2
]
,
[
3
]
,
an
d
u
tili
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d
in
elec
tr
ic
v
eh
icles,
in
tellig
en
t
p
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,
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in
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s
y
n
th
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ap
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tu
r
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a
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s
y
s
tem
s
[
4
]
,
av
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,
an
d
s
atellites
[
5
]
.
I
n
o
r
d
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to
g
u
ar
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b
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ev
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it
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p
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co
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in
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o
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As
a
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B
MS,
r
esp
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m
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b
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p
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a
cr
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af
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in
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e
elec
tr
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v
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an
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in
s
tr
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m
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ts
[
6
]
.
T
h
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two
m
ai
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f
u
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ctio
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s
in
B
MS
ar
e
s
tate
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f
ch
a
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g
e
(
So
C
)
an
d
s
tate
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f
h
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(
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.
So
C
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s
a
cr
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p
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am
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th
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th
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m
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elec
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with
in
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co
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p
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its
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m
p
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p
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city
[
7
]
.
T
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g
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p
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th
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So
C
in
b
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m
a
n
ag
em
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n
t
s
y
s
tem
s
[
8
]
.
T
h
e
SOC
o
f
a
b
atter
y
ca
n
n
o
t
b
e
d
ir
ec
tly
in
f
er
r
ed
;
th
u
s
,
it
is
o
f
ten
in
d
ir
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tly
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
2
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8
8
-
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9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
4
,
Dec
em
b
er
20
25
:
2623
-
2
6
3
3
2624
ap
p
r
o
x
im
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u
s
in
g
d
ata
s
u
ch
as
b
atter
y
v
o
ltag
e,
cu
r
r
en
t,
a
n
d
tem
p
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r
e
[
9
]
.
Sev
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m
eth
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d
s
h
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b
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n
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p
lo
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ed
to
ass
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So
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in
lith
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-
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[
1
0
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T
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eq
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ac
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s
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ity
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cu
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im
p
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q
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(
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C
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atter
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tim
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So
C
[
1
1
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.
T
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e
E
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M
p
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s
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p
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e
em
p
l
o
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en
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f
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o
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Kalm
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c
h
as th
e
E
KF,
wh
ich
is
b
o
th
h
ig
h
ly
r
ec
o
g
n
ized
an
d
wid
ely
em
p
lo
y
e
d
[
1
2
]
.
Ho
wev
er
,
th
e
alg
o
r
ith
m
b
ased
o
n
th
e
E
KF
r
elies
h
ea
v
ily
o
n
th
e
ac
cu
r
ac
y
o
f
th
e
b
atter
y
m
o
d
el
as
well
as
th
e
p
r
e
d
eter
m
in
ed
v
a
r
iab
les
ab
o
u
t
th
e
s
y
s
tem
n
o
is
e,
in
cl
u
d
in
g
m
ea
n
v
alu
e,
p
e
r
t
in
en
ce
,
an
d
co
v
ar
ian
ce
m
atr
ix
.
I
f
th
e
p
r
e
d
eter
m
in
ed
v
a
r
iab
les
o
f
th
e
s
y
s
tem
n
o
is
e
ar
e
n
o
t
p
r
o
p
er
l
y
co
n
f
ig
u
r
e
d
,
s
ig
n
if
ic
an
t
er
r
o
r
s
an
d
d
iv
e
r
g
en
ce
m
ay
o
cc
u
r
.
I
n
t
h
e
ca
s
e
o
f
th
e
So
C
esti
m
atio
n
,
if
in
ap
p
r
o
p
r
iate
v
alu
es
f
o
r
th
e
n
o
is
e
co
v
ar
ian
ce
a
r
e
u
tili
ze
d
,
th
e
er
r
o
r
w
o
u
ld
b
e
s
u
b
s
tan
tial
o
r
ev
en
lea
d
to
d
iv
er
g
en
ce
.
C
o
n
s
eq
u
en
tly
,
th
e
u
tili
za
tio
n
o
f
AE
KF
h
as
b
ee
n
em
p
lo
y
ed
to
ca
r
r
y
o
u
t
r
ea
l
-
ti
m
e
So
C
est
im
atio
n
[
1
3
]
.
Mo
r
eo
v
er
,
e
v
en
w
h
en
p
r
ec
is
e
m
o
d
el
p
ar
am
ete
r
s
ar
e
ac
q
u
ir
ed
,
th
e
co
n
n
ec
tio
n
b
etwe
e
n
th
e
o
p
en
cir
c
u
it
v
o
ltag
e
(
OC
V)
an
d
So
C
will
p
er
s
is
ten
tly
alter
d
u
e
to
b
atter
y
ag
in
g
.
T
h
is
o
cc
u
r
r
e
n
ce
im
p
a
ir
s
th
e
d
u
r
ab
ilit
y
o
f
So
C
esti
m
atio
n
.
C
o
n
s
eq
u
en
tl
y
,
attain
in
g
h
ig
h
-
p
r
ec
is
io
n
S
OC
esti
m
atio
n
in
b
atter
ies
s
u
b
jecte
d
to
p
r
o
lo
n
g
e
d
u
s
ag
e
p
r
o
v
es c
h
allen
g
in
g
[
1
4
]
.
So
H
is
th
e
co
n
d
itio
n
wh
er
e
t
h
e
b
atter
y
ca
n
p
r
o
v
id
e
en
e
r
g
y
.
T
h
is
is
u
s
ed
to
d
eter
m
in
e
th
e
h
ea
lth
co
n
d
itio
n
o
f
th
e
b
atter
y
a
f
ter
s
ev
er
al
ch
ar
g
in
g
-
d
is
ch
ar
g
in
g
c
y
cles.
T
h
is
ca
n
also
b
e
s
aid
to
b
e
th
e
life
s
p
an
o
f
a
b
atter
y
p
ac
k
[
1
5
]
.
T
h
e
esti
m
a
tio
n
o
f
t
h
e
So
H
o
f
th
e
b
at
ter
y
ca
n
b
e
k
n
o
wn
eith
e
r
in
r
ea
l
-
tim
e
o
r
n
o
t
[
1
6
]
.
E
s
tim
atio
n
is
d
iv
id
ed
in
to
ex
p
er
im
en
tal
an
d
m
o
d
el
-
b
ased
te
ch
n
iq
u
es.
E
x
p
er
im
en
tal
esti
m
atio
n
ca
n
ac
cu
r
ately
esti
m
ate
So
H,
an
d
esti
m
atio
n
ca
n
b
e
ac
h
iev
ed
u
s
in
g
s
ev
er
al
m
ea
s
u
r
em
en
t
ac
tiv
ities
o
n
th
e
b
atter
y
t
o
g
et
t
h
e
tr
u
e
v
alu
e
[
1
7
]
.
I
n
th
is
ca
s
e,
we
esti
m
ate
th
e
So
H
v
alu
e
wh
e
n
1
cy
cle
h
as b
ee
n
c
o
m
p
leted
.
T
h
e
r
elatio
n
s
h
ip
b
etwe
en
So
C
est
im
atio
n
ac
cu
r
ac
y
an
d
th
e
m
o
d
el
is
v
er
y
clo
s
e,
wh
er
e
a
m
o
r
e
co
m
p
licated
m
o
d
el
will
p
r
o
v
i
d
e
h
ig
h
er
ac
c
u
r
ac
y
[
1
8
]
.
Ho
wev
er
,
im
p
lem
en
tatio
n
o
n
h
ar
d
war
e
is
a
co
n
ce
r
n
in
th
e
s
tu
d
y
we
co
n
d
u
cted
.
I
n
th
e
s
tu
d
y
[
1
9
]
,
th
e
AE
KF
m
o
d
el
h
as
h
ig
h
ac
cu
r
ac
y
.
Ho
we
v
er
,
f
ir
s
t
-
o
r
d
er
AE
KF
is
ea
s
ier
b
ec
au
s
e
it d
o
es n
o
t r
e
q
u
ir
e
d
ata
p
r
e
-
p
r
o
ce
s
s
in
g
,
m
ak
in
g
it e
asier
to
im
p
lem
en
t in
th
e
m
icr
o
co
n
tr
o
ller
.
I
n
ad
d
itio
n
t
o
b
ei
n
g
ea
s
y
to
im
p
lem
en
t,
it
is
n
ec
ess
ar
y
t
o
tak
e
i
n
to
ac
c
o
u
n
t
ce
r
tain
l
im
itatio
n
s
co
n
ce
r
n
in
g
th
e
av
ailab
le
s
p
ac
e
an
d
th
e
s
y
s
tem
ex
p
en
s
es wh
e
n
d
esig
n
in
g
an
d
im
p
lem
en
tin
g
th
e
h
ar
d
war
e
[
2
0
]
.
Sp
ac
e,
co
m
p
u
tin
g
tim
e,
an
d
c
o
s
t
ar
e
im
p
o
r
tan
t
c
o
n
ce
r
n
s
in
i
m
p
lem
en
tin
g
B
MS
[
2
0
]
,
[
2
1
]
.
Sp
ac
e
is
n
ec
ess
ar
y
f
o
r
d
e
n
s
e
s
y
s
tem
s
,
p
ar
ticu
lar
ly
th
o
s
e
r
elate
d
to
ae
r
o
s
p
ac
e
s
y
s
tem
s
[
2
0
]
.
Selectin
g
a
m
o
d
el
th
at
ca
n
b
e
im
p
lem
en
ted
o
n
a
s
in
g
le
p
iece
o
f
h
ar
d
war
e
wh
ile
en
s
u
r
in
g
r
eliab
le
m
ea
s
u
r
em
en
ts
an
d
m
ain
tain
in
g
er
r
o
r
s
with
in
a
2
.
5
%
m
ar
g
in
[
2
2
]
.
is
a
k
ey
c
o
n
s
id
er
atio
n
f
o
r
B
MS
d
ev
elo
p
m
en
t.
T
h
is
b
alan
ce
o
f
ef
f
icien
cy
an
d
ac
cu
r
a
cy
is
an
ess
en
tial f
o
cu
s
o
f
o
u
r
r
esea
r
ch
,
as it e
n
s
u
r
es th
e
f
ea
s
ib
ilit
y
an
d
r
eliab
ilit
y
o
f
th
e
s
y
s
tem
's d
ev
elo
p
m
en
t.
T
h
e
im
p
lem
e
n
tatio
n
p
er
f
o
r
m
e
d
in
[
2
3
]
b
ased
o
n
elec
tr
o
ch
e
m
is
tr
y
,
was
co
n
d
u
cted
,
wh
er
e
th
e
d
ata
a
n
d
ca
lcu
latio
n
s
ar
e
co
n
tr
o
lled
u
s
i
n
g
FP
GA
h
ar
d
war
e
to
m
ak
e
esti
m
ates.
Mo
r
eo
v
er
,
s
tim
u
latio
n
d
ev
ices
wer
e
ad
d
ed
to
r
eg
en
e
r
ate
elec
tr
o
ch
e
m
ical
im
p
ed
an
ce
s
p
ec
tr
o
s
co
p
y
(
E
I
S).
T
h
is
will
r
esu
lt
in
ad
d
iti
o
n
al
d
ev
ice
s
p
ac
e.
Fu
r
th
er
m
o
r
e
,
th
e
ca
lcu
latin
g
tim
e
will st
ill b
e
d
ev
elo
p
ed
in
t
h
eir
s
tu
d
y
.
Similar
to
t
h
e
s
tu
d
y
co
n
d
u
cted
in
[
2
4
]
,
A
DC
-
s
er
v
o
lo
o
p
r
eg
en
er
ates
f
r
eq
u
e
n
cy
was
ad
d
ed
to
th
e
s
y
s
tem
esti
m
atio
n
,
r
esu
ltin
g
in
ad
d
itio
n
al
d
ev
ices
wh
ich
in
cr
ea
s
e
co
s
ts
an
d
ex
tr
a
s
p
ac
e
f
o
r
in
teg
r
ated
d
e
v
ices
in
esti
m
atin
g
th
e
So
C
.
An
im
p
lem
en
tatio
n
b
ased
o
n
d
ata
s
cien
ce
,
s
u
ch
as th
e
s
tu
d
y
co
n
d
u
cte
d
in
[
2
5
]
,
u
s
es a
n
STM
3
2
m
icr
o
p
r
o
ce
s
s
o
r
,
wh
ic
h
h
as a
n
af
f
o
r
d
a
b
le
p
r
ice.
Nev
er
th
eless
,
th
er
e
is
an
ad
d
itio
n
al
d
e
v
ice
in
th
e
f
o
r
m
o
f
T
en
s
o
r
Flo
w
L
ite
Mic
r
o
c
o
n
tr
o
ller
s
(
T
FLM
)
to
ex
ec
u
te
m
o
d
el
ca
lcu
latio
n
s
b
a
s
ed
o
n
d
ata
s
cien
ce
.
Mo
r
eo
v
e
r
,
th
e
in
teg
r
ated
h
a
r
d
war
e
in
t
h
e
im
p
lem
en
tatio
n
b
ased
o
n
th
e
Kalm
an
f
ilter
o
n
ly
r
e
q
u
ir
es
o
n
e
e
m
b
ed
d
ed
d
ev
ice.
T
h
e
s
tu
d
y
in
[
2
6
]
,
u
s
es
a
DE
K
F
m
o
d
e
l
em
b
ed
d
e
d
in
an
FP
GA,
an
d
th
e
im
p
lem
en
tatio
n
is
ca
r
r
ied
o
u
t
in
[
2
7
]
,
also
u
s
es
an
FP
G
A
to
ca
lcu
late
So
C
esti
m
atio
n
with
th
e
2
R
C
E
K
F
m
o
d
el.
Fu
r
th
er
m
o
r
e,
i
n
ter
m
s
o
f
b
o
th
lo
we
r
co
s
t
an
d
h
o
w
q
u
ick
ly
ca
lcu
latio
n
s
ar
e
p
er
f
o
r
m
ed
in
[
2
8
]
,
T
h
e
R
asp
b
er
r
y
Pi
is
u
s
ed
to
ca
lcu
late
t
h
e
E
KF
an
d
UKF
m
o
d
els.
T
h
e
y
s
p
ec
if
ically
s
tated
th
at
th
e
E
KF
m
o
d
el
u
s
es
les
s
p
o
wer
an
d
s
h
o
r
ter
ca
lcu
latio
n
tim
es,
ev
en
th
o
u
g
h
th
e
er
r
o
r
s
th
at
ap
p
ea
r
ar
e
g
r
ea
te
r
th
an
th
e
UKF.
Fro
m
th
e
ex
p
lan
atio
n
ab
o
v
e,
it
ca
n
b
e
s
ee
n
th
at
th
e
au
th
o
r
'
s
r
ea
s
o
n
s
f
o
r
co
n
d
u
c
tin
g
a
c
o
m
p
a
r
ativ
e
s
tu
d
y
with
th
e
f
ir
s
t
-
o
r
d
er
E
K
F
an
d
AE
KF
wer
e
s
p
ac
e
ef
f
icien
cy
,
ea
s
e
o
f
in
teg
r
atio
n
i
n
o
n
e
d
e
v
ice,
less
co
m
p
u
tin
g
tim
e,
an
d
lo
wer
p
r
i
ce
s
.
T
o
ad
d
r
ess
th
e
af
o
r
em
e
n
tio
n
e
d
p
r
o
b
lem
s
,
th
is
s
tu
d
y
co
n
d
u
ct
s
th
e
f
o
llo
win
g
in
v
es
tig
atio
n
s
:
˗
T
r
ain
in
g
two
Kalm
a
n
Fil
ter
m
o
d
els,
n
am
ely
th
e
f
ir
s
t
-
o
r
d
er
E
KF a
n
d
AE
KF,
f
o
r
So
C
esti
m
atio
n
.
˗
E
x
am
in
in
g
th
e
co
r
r
elatio
n
b
et
wee
n
th
e
M
v
alu
e,
in
itial
er
r
o
r
,
n
u
m
b
er
o
f
cy
cles,
an
d
co
m
p
u
tatio
n
tim
e,
an
d
th
eir
im
p
ac
t o
n
So
C
esti
m
atio
n
ac
cu
r
ac
y
wh
ile
m
ain
tain
in
g
s
tan
d
ar
d
ac
cu
r
ac
y
.
˗
An
aly
s
in
g
th
e
ch
a
n
g
es in
So
C
esti
m
atio
n
ac
cu
r
ac
y
as th
e
n
u
m
b
er
o
f
cy
cles in
cr
ea
s
es.
˗
Ass
es
s
in
g
th
e
h
ea
lth
o
f
a
b
atte
r
y
p
ac
k
af
ter
co
m
p
letin
g
5
0
0
c
y
cles.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i
Sy
s
t
I
SS
N:
2088
-
8
6
9
4
N
u
merica
l a
n
d
ex
p
erimen
ta
l sta
te
o
f id
en
tifi
ca
tio
n
b
a
tter
y
p
a
ck
lith
iu
m
-
io
n
(
Dewi A
n
g
g
r
a
en
i
)
2625
2.
T
H
E
P
RO
P
O
SE
D
M
E
T
H
O
D
I
n
th
is
s
tu
d
y
,
th
e
au
t
h
o
r
'
s
b
atter
y
p
ac
k
m
o
d
elin
g
m
eth
o
d
f
o
ll
o
ws
th
e
s
tu
d
y
in
[
2
2
]
,
wh
er
e
a
f
ir
s
t
-
o
r
d
er
E
C
M
was u
s
ed
w
ith
p
ar
am
eter
s
b
ased
o
n
th
e
au
th
o
r
'
s
p
r
ev
io
u
s
r
esear
ch
in
th
e
s
tu
d
y
[
4
]
.
T
h
e
d
eter
m
in
atio
n
o
f
th
e
lith
iu
m
-
io
n
b
atter
y
'
s
s
tate
-
of
-
ch
ar
g
e
is
ty
p
ically
ac
h
iev
ed
th
r
o
u
g
h
th
e
u
tili
za
tio
n
o
f
th
e
cu
r
r
en
t
in
teg
r
al,
as
d
ep
icted
in
(
1
)
.
T
h
is
ass
ess
m
e
n
t ty
p
ically
co
m
m
en
ce
s
f
r
o
m
an
in
itial st
ate
-
of
-
ch
ar
g
e
d
en
o
t
ed
as
0
[
2
9
]
.
=
0
−
∫
0
(
1
)
wh
er
e
r
ep
r
esen
ts
th
e
r
ea
l
-
tim
e
v
alu
e
o
f
th
e
s
tate
-
of
-
ch
ar
g
e
at
tim
e
t,
0
d
en
o
tes th
e
in
itial v
alu
e
o
f
th
e
s
tate
-
of
-
ch
ar
g
e.
Fu
r
th
er
m
o
r
e,
r
ef
er
s
to
th
e
ch
ar
g
e
-
d
is
ch
ar
g
e
ef
f
icien
cy
o
f
a
lith
iu
m
-
io
n
b
atter
y
;
h
er
e
,
we
ass
u
m
e
eq
u
al
to
one
.
re
p
r
esen
ts
th
e
ef
f
ec
tiv
e
ca
p
ac
ity
o
f
t
h
e
lith
iu
m
-
io
n
b
atter
y
,
a
n
d
d
en
o
tes
th
e
m
ea
s
u
r
ed
cu
r
r
en
t o
f
th
e
lith
iu
m
-
io
n
b
atter
y
.
2
.
1
.
So
C
a
lg
o
rit
hm
-
ba
s
ed
E
K
F
Du
e
to
its
in
ab
ilit
y
to
h
an
d
le
th
e
n
o
n
lin
ea
r
attr
ib
u
tes
o
f
t
h
e
b
atter
y
m
o
d
el,
th
e
E
KF
h
as
g
ain
ed
s
ig
n
if
ican
t
p
o
p
u
lar
ity
in
n
o
n
li
n
ea
r
ap
p
licatio
n
s
.
T
h
e
f
u
n
d
am
en
tal
co
n
ce
p
t
b
e
h
in
d
th
e
E
KF
in
v
o
lv
es
em
p
lo
y
in
g
a
f
ir
s
t
-
o
r
d
e
r
T
a
y
lo
r
ex
p
a
n
s
io
n
o
f
th
e
s
tate
an
d
m
ea
s
u
r
em
e
n
t
f
u
n
ctio
n
s
to
ac
h
iev
e
lo
ca
l
lin
ea
r
izatio
n
.
I
n
th
e
ca
s
e
o
f
a
n
o
n
lin
ea
r
s
y
s
tem
,
th
e
f
o
ll
o
win
g
s
tate
-
s
p
ac
e
eq
u
atio
n
s
in
(
2
)
ca
n
b
e
em
p
lo
y
e
d
to
d
e
p
ict
it [
3
0
]
:
{
X
k
=
f
(
−
1
,
)
=
A
X
k
−
1
+
B
u
k
−
1
+
w
k
−
1
Y
k
=
g
(
,
)
=
C
X
k
+
D
u
k
+
v
k
−
1
(
2
)
wh
er
e
,
r
ep
r
esen
ts
th
e
s
tate
v
ar
iab
le
o
f
th
e
s
y
s
tem
.
d
en
o
te
s
th
e
o
b
s
er
v
atio
n
v
ar
iab
le
o
f
t
h
e
s
y
s
tem
.
s
ig
n
if
ies
th
e
in
p
u
t
v
ar
iab
le
o
f
th
e
s
y
s
tem
.
d
en
o
tes
th
e
s
tate
n
o
n
lin
ea
r
f
u
n
ctio
n
.
r
ep
r
esen
ts
th
e
m
ea
s
u
r
em
en
t
n
o
n
lin
ea
r
f
u
n
ctio
n
.
−
1
an
d
ar
e
Gau
s
s
ian
wh
it
e
n
o
is
e
with
a
m
ea
n
o
f
ze
r
o
a
n
d
c
o
v
ar
ian
c
e
an
d
r
esp
ec
tiv
ely
.
T
h
e
E
KF
alg
o
r
ith
m
p
r
o
ce
ed
s
th
r
o
u
g
h
a
s
er
ies
o
f
iter
atio
n
s
i
n
ac
co
r
d
an
ce
with
th
e
s
u
b
s
eq
u
en
t
s
tep
s
,
f
ir
s
t
,
in
itialize
th
e
m
ea
n
(
0
̅
̅
̅
)
an
d
th
e
co
v
ar
ia
n
ce
(
P
0
)
o
f
th
e
in
itial
s
y
s
tem
s
tate
X
0
.
W
h
er
e
E
(
.
)
is
t
h
e
ex
p
ec
tatio
n
o
f
th
e
m
ea
n
v
alu
e.
{
̅
0
=
(
0
)
0
=
[
(
0
−
̅
0
)
(
0
−
̅
0
)
]
(
3
)
T
h
e
n
ex
t
s
tep
is
T
im
e
u
p
d
ate
f
o
r
th
e
s
tate
an
d
co
v
a
r
ian
ce
p
r
e
d
ictio
n
.
T
h
e
s
tate
an
d
c
o
v
ar
ian
ce
p
r
ed
ictio
n
r
ef
er
s
to
(
4
)
.
{
+
=
(
−
1
,
−
1
)
+
−
=
−
1
+
(
4
)
T
h
e
m
ea
s
u
r
em
en
t
p
r
o
ce
s
s
is
u
p
d
ated
with
th
e
Kalm
a
n
Fil
ter
an
d
u
p
d
ate
th
e
c
o
v
ar
ian
ce
f
o
r
(
5
)
an
d
(
6
)
.
=
−
(
−
+
)
−
1
(
5
)
P
k
=
(
I
−
K
k
C
k
)
P
k
(
I
−
K
k
C
k
)
T
+
K
k
R
k
K
k
T
(
6
)
2
.
2
.
So
C
a
lg
o
rit
hm
-
ba
s
ed
AE
K
F
Me
an
wh
ile,
f
o
r
th
e
AE
KF
al
g
o
r
ith
m
f
r
o
m
(
4
)
to
(
6
)
h
as
th
e
s
am
e
eq
u
atio
n
as
th
e
E
KF
alg
o
r
ith
m
,
wh
er
ea
s
in
th
e
AE
KF
alg
o
r
ith
m
,
th
e
d
if
f
e
r
en
ce
lies
in
th
e
u
p
d
ate
s
tatu
s
in
(
1
1
)
,
t
h
e
n
ex
t
s
tep
is
b
y
ad
ap
tatio
n
o
f
v
ar
ia
b
le
Q
in
(
1
3
)
,
H
in
(
1
4
)
an
d
R
in
(
1
5
)
.
K
+
=
X
̂
k
+
e
k
(
1
1
)
e
k
=
Y
k
−
g
(
X
̂
k
,
u
k
)
(
1
2
)
Q
k
=
K
k
H
k
K
k
T
(
1
3
)
H
k
=
1
∑
e
k
e
k
T
k
i
=
k
−
M
+
1
(
1
4
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
4
,
Dec
em
b
er
20
25
:
2623
-
2
6
3
3
2626
R
k
=
H
k
−
C
P
k
C
T
(
1
5
)
T
h
e
m
atr
ix
C
r
ep
r
esen
ts
th
e
J
ac
o
b
ian
o
f
th
e
f
u
n
ctio
n
g
th
at
is
u
s
ed
to
m
ea
s
u
r
e
th
e
d
ata.
T
h
e
s
y
m
b
o
l
"
"
r
ep
r
esen
ts
t
h
e
d
is
p
ar
ity
b
etwe
en
th
e
v
o
ltag
e
m
ea
s
u
r
e
d
at
th
e
ter
m
in
al
an
d
th
e
v
o
ltag
e
th
at
was p
r
ev
i
o
u
s
ly
esti
m
ated
at
th
e
ter
m
in
al.
T
h
e
d
ef
in
itio
n
o
f
M
h
as
b
ee
n
ex
p
l
ain
ed
in
o
u
r
s
tu
d
y
in
[
1
9
]
.
Her
e
,
ex
p
er
im
en
ts
ar
e
co
n
d
u
cte
d
to
in
v
esti
g
ate
th
e
c
o
r
r
elati
o
n
b
etwe
en
t
h
e
v
a
r
iab
l
e
M
an
d
th
e
co
m
p
u
tatio
n
al
d
u
r
atio
n
r
e
q
u
ir
ed
f
o
r
th
e
esti
m
atio
n
o
f
So
C
.
Fu
r
th
er
ex
am
in
atio
n
will b
e
e
x
p
lain
e
d
in
s
ec
tio
n
3
.
2
.
2
.
3
.
So
H
estim
a
t
i
o
n
So
H
is
ty
p
ically
d
ef
in
e
d
as th
e
r
atio
o
f
th
e
n
o
m
in
al
r
ated
ca
p
ac
ity
at
th
e
tim
e
o
f
m
a
n
u
f
ac
tu
r
in
g
to
th
e
r
em
ain
in
g
m
a
x
im
u
m
ca
p
ac
ity
at
a
g
iv
en
tim
e.
T
h
er
ef
o
r
e,
th
e
So
H
co
u
ld
b
e
f
o
r
m
u
lated
u
s
in
g
(
1
6
)
[
3
1
]
.
(
%
)
=
100%
(
16)
wh
er
e
C
present
i
s
th
e
cu
r
r
en
t
b
atter
y
'
s
m
ax
im
u
m
ca
p
ac
ity
(
Am
p
er
e
h
o
u
r
s
)
an
d
C
initial
is
th
e
b
atter
y
'
s
in
itia
l
m
ax
im
u
m
ca
p
ac
ity
.
C
present
co
u
ld
b
e
ca
lcu
lated
with
th
e
to
tal
d
is
ch
ar
g
e
cu
r
r
en
t
(
I
dchg
)
ca
p
ac
ity
is
o
b
tain
ed
f
r
o
m
th
e
cu
r
r
e
n
t c
ap
ac
ity
d
i
v
id
e
d
b
y
th
e
r
u
n
n
in
g
tim
e
d
u
r
in
g
t
h
e
d
is
ch
ar
g
e
p
r
o
ce
s
s
.
W
h
ich
is
d
ef
in
ed
as (
1
7
)
.
(
)
=
∫
ℎ
(
)
0
(
1
7
)
3.
M
E
T
H
O
D
T
h
is
s
ec
tio
n
ex
p
lain
s
th
e
r
esear
ch
m
eth
o
d
s
u
s
ed
in
th
is
s
tu
d
y
,
in
clu
d
in
g
SOC
esti
m
ati
o
n
an
d
its
r
elatio
n
s
h
ip
to
in
itial
SO
C
d
is
t
u
r
b
an
ce
.
Ad
d
itio
n
ally
,
it
d
is
cu
s
s
es
th
e
im
p
ac
t
o
f
SO
C
es
tim
atio
n
o
n
v
ar
iab
le
M,
an
d
also
co
m
p
u
tatio
n
tim
e
f
o
r
tr
ain
in
g
th
e
d
ata,
an
d
last
ly
g
iv
e
an
ex
p
lan
atio
n
f
o
r
So
H
esti
m
atio
n
.
3
.
1
.
So
C
esti
m
a
t
io
n
T
h
e
ex
p
er
im
e
n
ts
wer
e
co
n
d
u
c
ted
o
v
er
a
s
p
an
o
f
s
ix
co
n
s
ec
u
tiv
e
m
o
n
th
s
,
em
p
lo
y
in
g
th
e
s
u
b
s
eq
u
en
t
elem
en
ts
:
(
a)
4
2
Ah
o
f
L
ith
iu
m
-
io
n
b
atter
y
p
ac
k
;
(
b
)
a
b
atter
y
an
aly
ze
r
k
n
o
w
n
as
B
ST8
-
1
0
A3
0
V;
an
d
(
c)
a
n
elec
tr
ical
co
n
n
ec
tio
n
to
th
e
h
u
b
o
f
th
e
b
atter
y
.
T
h
e
in
v
esti
g
atio
n
s
wer
e
p
er
f
o
r
m
e
d
u
s
in
g
ch
ar
ge
-
d
is
ch
ar
g
e
cy
cles
at
a
r
ate
o
f
0
.
2
C
at
a
te
m
p
er
atu
r
e
o
f
2
5
°C
,
in
ter
s
p
er
s
ed
with
a
r
elax
atio
n
in
ter
v
al
o
f
3
0
m
in
u
tes,
th
er
eb
y
f
ac
ilit
atin
g
th
e
attain
m
en
t
o
f
r
elax
atio
n
co
n
ce
n
tr
atio
n
an
d
th
e
r
ee
s
tab
lis
h
m
en
t
o
f
s
o
lid
lith
i
u
m
p
ar
ticles
to
th
e
p
o
in
t o
f
eq
u
ilib
r
i
u
m
.
Ph
y
s
ical
r
ep
r
esen
tatio
n
f
o
r
th
e
e
x
p
er
im
en
t p
latf
o
r
m
o
n
t
h
e
Fig
u
r
e
1
.
Fig
u
r
e
1
.
Ph
y
s
ical
r
ep
r
esen
tatio
n
o
f
th
e
ex
p
er
im
en
tal
p
latf
o
r
m
f
o
r
test
in
g
L
ith
i
u
m
-
io
n
b
att
er
ies
Data
o
n
th
e
m
ea
s
u
r
em
en
t
o
f
lith
iu
m
b
atter
y
p
ac
k
s
is
c
o
l
lecte
d
f
o
r
a
to
tal
o
f
5
0
0
cy
c
les.
T
h
ese
m
ea
s
u
r
em
en
ts
in
clu
d
e
th
e
ter
m
in
al
v
o
lta
g
e
,
C
u
r
r
e
n
t
,
ca
p
ac
ity
an
d
tim
e
.
T
h
e
cu
r
r
en
t
an
d
v
o
ltag
e
d
ata
ar
e
r
ec
o
r
d
e
d
at
in
ter
v
als
o
f
2
0
s
ec
o
n
d
s
.
T
h
e
esti
m
atio
n
o
f
th
e
So
C
its
elf
r
em
ain
s
u
n
af
f
ec
ted
b
y
th
e
o
v
er
all
d
u
r
atio
n
,
as
it
is
ad
ju
s
ted
b
y
a
f
ac
to
r
o
f
2
0
in
th
e
p
r
o
jecte
d
o
u
tp
u
t
ca
lcu
latio
n
tim
e.
An
illu
s
tr
atio
n
o
f
th
e
f
lo
w
ch
ar
t f
o
r
esti
m
atin
g
th
e
So
C
to
tr
ain
th
e
two
al
g
o
r
ith
m
s
ca
n
b
e
s
ee
n
in
Fig
u
r
e
2
.
T
h
e
test
r
esu
lt
d
ata
f
r
o
m
B
ST8
will
b
e
o
r
g
an
ized
to
s
u
it
th
e
r
eq
u
ir
em
en
ts
o
f
th
e
s
im
u
l
atio
n
.
T
h
e
n
ec
ess
ar
y
d
ata
in
clu
d
es
cy
cle,
cu
r
r
en
t,
v
o
ltag
e,
an
d
tim
e
d
a
ta.
Fo
r
th
e
s
im
u
latio
n
p
r
o
ce
s
s
,
d
ata
f
r
o
m
th
e
1
st
,
100
th
,
2
0
0
th
,
3
0
0
th
,
4
0
0
th
,
an
d
5
0
0
th
cy
cle
s
will b
e
u
s
ed
to
tr
ai
n
two
d
if
f
er
en
t m
o
d
els:
f
ir
s
t
-
o
r
d
er
E
KF a
n
d
f
ir
s
t
-
o
r
d
er
AE
KF.
T
h
e
p
a
r
am
eter
d
ata
will b
e
d
ir
ec
tly
o
b
tain
ed
in
th
e
ca
lcu
latio
n
p
r
o
ce
s
s
m
o
d
el
.
T
h
is
will r
esu
lt in
o
b
tain
in
g
two
s
ets o
f
So
C
esti
m
atio
n
o
u
t
p
u
t d
ata.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i
Sy
s
t
I
SS
N:
2088
-
8
6
9
4
N
u
merica
l a
n
d
ex
p
erimen
ta
l sta
te
o
f id
en
tifi
ca
tio
n
b
a
tter
y
p
a
ck
lith
iu
m
-
io
n
(
Dewi A
n
g
g
r
a
en
i
)
2627
T
h
e
r
ea
l
im
p
lem
en
tatio
n
o
f
B
MS
ca
n
n
o
t
b
e
s
ep
ar
ated
f
r
o
m
th
e
ea
s
e
o
f
ca
r
r
y
i
n
g
o
u
t
tr
ain
in
g
d
ata
th
r
o
u
g
h
m
o
d
els
with
lig
h
t
co
m
p
u
tin
g
b
u
t
is
ac
cu
r
ate.
T
h
e
r
ef
o
r
e,
th
e
ca
lcu
latio
n
tim
e
is
a
co
n
ce
r
n
f
o
r
th
is
s
tu
d
y
.
I
n
th
is
s
tu
d
y
,
th
e
T
ic
T
o
c
f
u
n
ctio
n
wh
ich
is
estab
lis
h
ed
i
n
MA
T
L
AB
s
o
f
twar
e
is
u
s
ed
f
o
r
th
e
r
esu
lts
o
f
co
m
p
u
tin
g
tim
e
ca
lcu
latio
n
s
.
Fig
u
r
e
2.
Flo
w
d
ia
g
r
am
o
f
th
e
So
C
esti
m
atio
n
3
.
2
.
T
he
co
rr
ela
t
i
o
n bet
wee
n v
a
ria
ble M a
nd
t
he
du
ra
t
i
o
n o
f
co
m
pu
t
a
t
io
na
l pro
ce
s
s
es
E
x
p
e
r
i
m
e
n
t
s
w
e
r
e
p
e
r
f
o
r
m
e
d
t
o
e
x
a
m
i
n
e
t
h
e
r
e
l
a
t
i
o
n
s
h
i
p
b
e
t
w
e
e
n
v
a
r
i
a
b
l
e
M
i
n
A
E
K
F
m
o
d
e
l
a
n
d
t
h
e
c
o
m
p
u
t
a
t
i
o
n
a
l
t
i
m
e
n
e
e
d
e
d
f
o
r
e
s
t
i
m
a
t
i
n
g
S
o
C
(
s
e
e
T
a
b
l
e
1
)
.
I
t
c
a
n
b
e
o
b
s
e
r
v
e
d
t
h
a
t
a
s
t
h
e
v
a
l
u
e
o
f
M
d
e
c
r
e
a
s
e
s
,
t
h
e
r
e
i
s
a
n
i
n
c
r
e
a
s
e
i
n
t
h
e
t
i
m
e
r
e
q
u
i
r
e
d
f
o
r
c
a
l
c
u
l
a
t
i
o
n
s
.
W
e
c
a
l
c
u
l
a
t
e
d
t
h
e
R
S
M
E
v
a
l
u
e
a
t
M
=
1
.
2
,
b
e
c
a
u
s
e
i
t
h
a
s
t
h
e
s
m
a
l
l
e
s
t
c
o
m
p
u
t
a
t
i
o
n
t
i
m
e
,
w
h
i
c
h
s
h
o
w
s
a
5
x
1
0
-
1
v
a
l
u
e
.
W
h
e
r
e
t
h
e
e
r
r
o
r
v
a
l
u
e
i
s
s
t
i
l
l
w
e
l
l
c
o
n
t
r
o
l
l
e
d
.
Du
r
in
g
th
e
f
i
r
s
t
cy
cle,
we
co
m
p
u
ted
th
e
p
r
o
ce
s
s
in
g
tim
e
f
o
r
b
o
th
m
o
d
els.
B
ased
o
n
th
e
tr
ain
in
g
d
ata
f
o
r
SOC
esti
m
at
io
n
,
th
e
ca
lcu
lat
io
n
r
esu
lts
ar
e
p
r
esen
ted
in
T
ab
le
2
.
Fro
m
th
ese
r
esu
lts
in
d
icate
th
at
th
e
E
KF
m
o
d
el
h
as a
s
h
o
r
ter
co
m
p
u
tati
o
n
tim
e.
T
ab
le
1
.
M
a
n
d
th
e
d
u
r
atio
n
o
f
co
m
p
u
tatio
n
al
p
r
o
ce
s
s
es
M
Ti
me
(
s)
M
Ti
me
(
s)
0
.
1
3
2
.
4
0
3
1
1
4
.
2
4
9
0
.
5
1
6
.
1
8
5
1
.
2
1
3
.
9
3
1
T
ab
le
2
.
C
o
m
p
u
tatio
n
al
tim
e
M
o
d
e
l
Ti
me
(
s)
EK
F
7
.
1
1
7
A
EK
F
1
3
.
9
3
1
3
.
3
.
So
H
estim
a
t
i
o
n
To
esti
m
ate
th
e
So
H,
we
ca
lcu
late
th
e
s
to
r
ed
ca
p
ac
ity
d
ata
b
ased
o
n
th
e
m
ea
s
u
r
em
en
t
r
esu
lts
u
s
in
g
eq
u
atio
n
(
1
6
)
.
T
h
is
ca
lcu
latio
n
is
p
er
f
o
r
m
e
d
at
s
p
ec
if
ic
cy
cle
in
ter
v
als,
n
am
ely
at
c
y
cles
1
,
1
0
0
,
2
0
0
,
3
0
0
,
4
0
0
,
an
d
5
0
0
,
t
o
o
b
s
er
v
e
th
e
d
eg
r
a
d
atio
n
tr
en
d
o
v
er
tim
e.
T
h
e
e
s
tim
atio
n
p
r
o
ce
s
s
f
o
cu
s
es
o
n
t
h
e
ch
ar
g
e
ca
p
ac
ity
th
at
h
as
co
m
p
leted
a
f
u
ll
cy
c
le
o
f
ch
a
r
g
in
g
an
d
d
is
ch
ar
g
i
n
g
,
en
s
u
r
in
g
th
at
t
h
e
d
ata
r
ef
le
cts
th
e
ac
tu
al
u
s
ab
le
ca
p
ac
ity
o
f
th
e
b
atter
y
.
B
y
an
aly
zin
g
th
e
ca
p
ac
ity
at
t
h
ese
in
ter
v
als,
we
ar
e
a
b
le
to
m
o
n
ito
r
c
h
an
g
es
in
So
H
an
d
ev
alu
ate
t
h
e
b
atter
y
’
s
lo
n
g
-
ter
m
p
er
f
o
r
m
a
n
ce
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
4
,
Dec
em
b
er
20
25
:
2623
-
2
6
3
3
2628
4.
RE
SU
L
T
AND
DI
SCUS
SI
O
N
T
h
is
s
ec
tio
n
ex
p
lain
s
th
e
r
esu
l
ts
o
f
th
is
s
tu
d
y
.
in
clu
d
in
g
SOC
est
im
atio
n
an
d
its
r
elatio
n
s
h
ip
to
in
itial
SOC
d
is
tu
r
b
an
ce
.
Ad
d
itio
n
ally
,
it
ex
a
m
in
es
th
e
im
p
ac
t
o
f
SOC
esti
m
atio
n
o
n
v
ar
ia
b
le
M
an
d
co
m
p
u
tatio
n
tim
e
-
tr
ain
in
g
d
ata,
as we
ll a
s
th
e
So
H
esti
m
atio
n
r
esu
lts
.
4
.
1
.
So
C
esti
m
a
t
io
n r
esu
lt
T
h
e
o
u
t
c
o
m
e
s
o
f
S
o
C
es
t
i
m
a
t
i
o
n
f
o
r
l
i
t
h
i
u
m
-
i
o
n
b
at
t
e
r
y
p
a
c
k
s
a
r
e
p
r
e
s
e
n
te
d
,
w
h
i
c
h
w
e
r
e
o
b
t
ai
n
e
d
u
s
i
n
g
t
r
a
i
n
e
d
f
i
r
s
t
-
o
r
d
e
r
m
o
d
e
l
s
,
E
KF
a
n
d
A
E
KF
.
F
u
r
t
h
e
r
m
o
r
e
,
t
h
e
i
m
p
a
c
t
o
f
t
h
e
a
c
c
u
r
ac
y
o
f
t
h
e
s
e
e
s
ti
m
a
t
i
o
n
m
o
d
e
ls
o
n
t
h
e
i
n
t
e
g
r
a
t
i
o
n
o
f
c
h
a
r
g
i
n
g
-
d
i
s
c
h
a
r
g
i
n
g
c
y
c
l
es
is
d
e
m
o
n
s
t
r
a
t
e
d
i
n
F
i
g
u
r
e
3
.
T
h
e
b
l
ac
k
d
a
s
h
-
dot
l
i
n
e
i
s
t
h
e
r
e
al
S
o
C
,
w
h
il
e
t
h
e
b
l
u
e
c
r
o
s
s
l
i
n
e
is
t
h
e
e
s
t
i
m
a
t
i
o
n
r
e
s
u
lt
w
i
t
h
E
KF
t
r
a
i
n
i
n
g
,
a
n
d
t
h
e
r
e
d
t
r
i
a
n
g
l
e
l
i
n
e
i
s
t
h
e
e
s
t
i
m
a
te
d
S
o
C
f
r
o
m
A
E
K
F
t
r
a
i
n
i
n
g
.
T
h
e
s
i
m
u
l
at
i
o
n
r
e
s
u
l
t
s
a
c
r
o
s
s
a
ll
cy
c
l
e
s
i
n
d
ic
a
t
e
t
h
a
t
t
h
e
E
K
F
a
r
e
m
o
r
e
i
n
c
o
n
s
is
t
e
n
t
(
m
o
v
e
s
i
r
r
e
g
u
l
a
r
l
y
)
,
w
h
ic
h
o
c
cu
r
s
i
n
a
l
l
c
y
c
l
es
,
n
a
m
e
l
y
i
n
F
i
g
u
r
e
s
3
(
a
)
-
3
(
f
)
.
E
v
e
n
t
h
o
u
g
h
t
h
e
E
K
F
t
e
n
d
s
t
o
m
o
v
e
i
r
r
e
g
u
l
a
r
l
y
,
t
h
e
e
s
t
i
m
a
te
d
l
i
n
e
is
c
l
o
s
e
t
o
t
h
e
r
e
a
l
SO
C
l
i
n
e
.
Me
a
n
w
h
i
l
e
,
A
E
K
F
s
h
o
w
s
a
m
o
r
e
c
o
n
s
i
s
te
n
t
l
i
n
e
.
T
h
e
e
s
t
i
m
a
t
e
d
s
t
a
b
i
l
it
y
i
s
3
0
%
t
o
8
0
%
.
T
h
i
s
c
a
n
b
e
s
e
e
n
v
e
r
y
m
u
c
h
i
n
t
h
e
e
s
t
i
m
a
t
i
o
n
w
it
h
A
E
K
F
,
a
s
i
n
Fig
u
r
e
F
i
g
u
r
e
s
3
(
c
)
a
n
d
3
(
e
)
.
W
h
e
r
e
t
h
e
e
s
ti
m
a
t
e
d
s
t
a
r
t
i
n
g
p
o
i
n
t
N
=
1
i
s
v
e
r
y
f
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n
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t
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ti
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d
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r
r
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2
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Ana
ly
s
is
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r
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bu
s
t
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us
ing
v
a
rio
us
ini
t
ia
l So
C
v
a
lues
T
o
d
eter
m
in
e
th
e
r
eliab
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o
f
th
e
m
eth
o
d
u
s
ed
,
o
n
e
way
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t
o
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r
o
v
id
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d
if
f
er
e
n
t in
itial So
C
v
alu
e
to
d
eter
m
in
e
th
e
ac
cu
r
ac
y
o
f
th
e
So
C
esti
m
ate.
R
eliab
ilit
y
w
ill also
b
e
test
ed
with
in
cr
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s
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g
cy
cles.
I
n
th
is
r
eliab
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y
test
,
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s
et
th
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in
iti
al
So
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v
alu
e
at
0
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9
,
0
.
8
,
an
d
0
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7
f
o
r
c
y
cles 1
,
1
0
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n
d
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h
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ain
in
g
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ata
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n
d
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ab
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ab
le
3
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ab
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tim
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ased
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h
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R
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ME
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n
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v
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f
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h
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c
h
e
x
h
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t
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r
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d
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a
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m
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r
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h
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t
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d
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r
e
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c
h
i
n
g
1
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1
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o
w
e
v
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r
,
i
n
t
h
e
f
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r
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t
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y
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l
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,
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s
t
a
n
d
s
a
t
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.
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o
n
v
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,
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h
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h
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n
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l
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o
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is
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h
e
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SM
E
i
s
1
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n
c
y
c
l
e
1
,
g
r
a
d
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a
l
l
y
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s
c
a
la
t
i
n
g
t
o
1
.
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%
a
t
c
y
c
l
e
5
0
0
.
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o
b
u
s
t
n
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s
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t
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t
s
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o
n
d
u
c
t
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d
w
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t
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v
a
r
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e
d
i
n
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t
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al
S
o
C
s
i
l
l
u
s
t
r
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te
t
h
a
t
e
r
r
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r
v
a
l
u
e
s
a
r
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h
i
g
h
e
r
f
o
r
s
m
al
l
e
r
in
i
t
i
a
l
S
o
C
s
,
p
a
r
ti
c
u
l
a
r
l
y
at
0
.
7
.
I
n
th
e
AE
KF
m
eth
o
d
,
em
p
lo
y
i
n
g
an
in
itial
So
C
o
f
0
.
9
,
t
h
e
R
SME
s
tar
ts
at
0
.
2
9
%
an
d
s
lo
wly
in
cr
ea
s
es
to
0
.
4
1
%
af
ter
5
0
0
cy
cles.
Fo
r
an
in
itial
So
C
o
f
0
.
8
,
th
e
R
S
ME
is
0
.
4
4
%
in
th
e
f
ir
s
t
cy
cle
,
wh
ich
f
u
r
th
er
r
is
es
to
0
.
7
1
%
at
cy
cle
5
0
0
.
Similar
l
y
,
wh
en
th
e
in
itial
So
C
i
s
s
et
at
0
.
7
,
th
e
R
SME
b
eg
in
s
at
0
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6
7
%
an
d
p
r
o
g
r
ess
iv
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clim
b
s
to
1
.
1
%
af
ter
5
0
0
cy
cl
es.
T
h
e
r
eliab
ilit
y
ex
am
in
atio
n
o
f
th
e
E
KF
an
d
AE
KF
m
eth
o
d
s
,
co
n
d
u
cted
with
d
if
f
er
en
t
in
itial
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C
s
an
d
in
cr
ea
s
in
g
cy
cles,
is
s
u
m
m
ar
ized
in
th
e
g
r
ap
h
ical
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ep
r
esen
tatio
n
p
r
o
v
id
e
d
in
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u
r
e
4
an
d
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u
r
e
5
.
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t
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ev
i
d
en
t
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r
o
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u
r
e
4
an
d
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u
r
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th
at
th
e
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m
eth
o
d
y
ield
s
h
ig
h
er
ac
cu
r
ac
y
in
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esti
m
atio
n
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m
p
ar
ed
to
th
e
E
KF m
eth
o
d
.
I
n
F
i
g
u
r
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6
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t
h
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p
r
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f
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
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I
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ile
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ta
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s
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em
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tr
ates
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co
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s
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r
eq
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r
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m
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s
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d
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r
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ast
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s
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th
at
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lith
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m
-
io
n
b
atter
y
p
ac
k
r
ea
ch
es E
OL
at
5
0
0
cy
cles.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i
Sy
s
t
I
SS
N:
2088
-
8
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N
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