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Modeling of Lithium-Ion Battery for Energy Storage System Simulation

Modeling of Lithium-Ion Battery for Energy Storage System Simulation

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then explained in terms <strong>of</strong> the battery SOD in a n th order<br />

polynomial. Also, from Fig. 1, the equilibrium potential<br />

E(t,T,i,l) is also seen as a function <strong>of</strong> V(i,T,t,l) and current i(t).<br />

These relationships are expressed as (1) and (2).<br />

2) Secondly, the discharge rate and temperature corresponding<br />

to the reference curve are treated as the reference discharge<br />

rate and temperature.<br />

There<strong>for</strong>e in view <strong>of</strong> the above, expressions <strong>for</strong> E, V(i,T,t,l),<br />

SOD and Rint are<br />

Eit [ ( ), T( t), tl , ] = vit [ ( ), T( t), tl , ] + R i( t)<br />

(1)<br />

n<br />

�<br />

int r<br />

v[ i( t), T( t), t, l] = c SOD [ i( t), T( t), t, l]<br />

(2)<br />

k<br />

k = 0<br />

k<br />

t<br />

1<br />

SOD[(), i t T (), t t, l] = � i() t dt<br />

(3)<br />

Q 0<br />

R = R + R<br />

(4)<br />

int 1 2<br />

Where ck is the coefficient <strong>of</strong> the k th -order term in the<br />

polynomial representation <strong>of</strong> the reference curve and Qr is the<br />

battery capacity referred to the cut<strong>of</strong>f voltage <strong>for</strong> the reference<br />

curve. For k = 0, E = c0 is the open-circuit voltage at the<br />

beginning <strong>of</strong> discharge at the reference temperature <strong>of</strong> the<br />

reference curve.<br />

B. Description <strong>of</strong> the Internal Resistance<br />

Normally, the internal resistance Rint will increase with the<br />

state <strong>of</strong> discharge. In this model, Rint has two components R1<br />

and R2. R1 is defined as the internal resistance <strong>of</strong> the lithiumion<br />

battery at SOD=0. It depends on the discharge condition,<br />

i.e. temperature, current level and lifecycle. R2 is the increase<br />

in Rint as SOD increases. R2 can also be affected by the<br />

temperature. However, it is proposed that an n th -order<br />

polynomial is used instead to describe the relationship<br />

between R2 and SOD. A correction factor �(T) will then be<br />

used later to compensate <strong>for</strong> variation <strong>of</strong> R2 with T.<br />

Based on the above, R can be defined as a function <strong>of</strong><br />

1<br />

discharge current, temperature and lifecycle, as follows,<br />

R = f( i( t), T( t), l)<br />

(5)<br />

1<br />

Take derivative on both sides <strong>of</strong> (5),<br />

δ f δ f δ f<br />

∂ R = ∂ i+ ∂ T + ∂l<br />

(6)<br />

1<br />

δi δT δl<br />

R1 can be calculated by dividing the initial voltage drop<br />

(shown in Fig. 2) by the discharge current i(t) at SOD=0. From<br />

T<br />

1 n<br />

the experimental data, [ ∂R ∂R<br />

]<br />

1 1<br />

1 1 1<br />

�∂i ∂T ∂l<br />

�<br />

�<br />

�<br />

�<br />

� n<br />

�∂i �<br />

n<br />

∂T �<br />

� can be easily calculated.<br />

�<br />

n<br />

∂l<br />

�<br />

�<br />

Expressed in matrix <strong>for</strong>m,<br />

1 1<br />

�∂R � �∂i � � �<br />

� = �<br />

� � �<br />

n<br />

n<br />

�∂R �<br />

� � i 1 � �∂ 1<br />

∂T �<br />

n<br />

∂T 1<br />

∂l<br />

�<br />

��δ<br />

f<br />

�<br />

���<br />

δi n<br />

∂l<br />

�<br />

�<br />

δ f<br />

δT δ f �<br />

δl<br />

��<br />

1 T<br />

� and<br />

(7)<br />

17<br />

V<br />

16.5<br />

16<br />

15.5<br />

15<br />

0 0.1 0.2<br />

SOD<br />

T=25� I=2 A<br />

Fig. 2 Determination <strong>of</strong> the voltage drop at SOD=0 <strong>for</strong><br />

different discharge condition<br />

Then using least-square method to obtain the values<br />

δ f δ f δ f<br />

<strong>of</strong> , ,<br />

δiδT δ l<br />

. Then R1 can be obtained as<br />

δ f δ f δ f<br />

R = ( i− i ) + ( T − T ) + ( l − l ) + R (8)<br />

1 ref ref ref 1_ref<br />

δi δT δl<br />

where, iref, Tref, lref are the discharge rate, temperature and<br />

lifecycle <strong>of</strong> the reference curve. R1_ref is the internal resistance<br />

<strong>of</strong> the reference curve at SOD=0.<br />

Returning to R2, in general, R2 can be defined as a function<br />

<strong>of</strong> SOD and temperature, as follows:<br />

R = g( T( t), SOD)<br />

(9)<br />

2<br />

Firstly choose another temperature discharge curve which<br />

is <strong>of</strong> the same discharge rate (the reference discharge rate).<br />

Then define i*R2_ref as the voltage drop (the difference between<br />

this curve and reference curve) at the same SOD, as <strong>for</strong><br />

example shown in Fig. 3. The selection <strong>of</strong> the SOD point can<br />

be arbitrarily because as shown subsequently, it does not cause<br />

significant difference to the final simulation result. Normally,<br />

selection <strong>of</strong> the SOD point at the middle <strong>of</strong> these curves yields<br />

higher overall accuracy. An n th -order polynomial can be used<br />

to fit to that relationship between R2_ref and SOD. The same<br />

order polynomial as that with the potential E is recommended,<br />

again to yield higher accuracy. A correction term �(T) is used<br />

to compensate <strong>for</strong> the variation <strong>of</strong> R2 at different discharge<br />

condition. This is illustrated as follows.<br />

The method to determine R2 is illustrated in Fig. 3, where<br />

experimental data from the ULTRALIFE UBBL10 lithium-ion<br />

battery is used. The reference curve and another curve at -20�<br />

are chosen to calculate R2_ref, which is shown in Fig. 4. Then,<br />

n<br />

k<br />

R = � r * SOD [ i( t), t]<br />

(10)<br />

2_ref<br />

k<br />

k = 0<br />

Fig. 3. Determination <strong>of</strong> the R2 <strong>for</strong> discharge condition at<br />

different temperatures.<br />

Authorized licensed use limited to: GOVERNMENT COLLEGE OF TECHNOLOGY. Downloaded on December 31, 2009 at 04:54 from IEEE Xplore. Restrictions apply.

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