123
1 2
3
µ
µ
µ
µ
C(Pfc +Psc) = C1Pc=C2Pi=C3Pm=Pv
Pfc Psc c PiPmPv
C C1C2C3
ECR
ECR =1.1×107·E
L
L E
×7
ES
F1
F1
Fd
FrFc
F1=Fd+Fr+Fc
Fd=1
2ρ·Cd·S·v2
Cdρ
3 2
v
Fr=M·g·Cr
M g
Cr
Fc=M·g·sin φ
φ
PLoad
PLoad =v
3600 (1
2ρ·Cd·S·v2+M·g(Cr+ sin φ))
PES
PES (t) = 1
CPLoad(t)
Preq
Kbat(t)
Ksc(t)
Pfc(t) = Kf c(t)·PES (t)
Psc(t) = Ksc(t)·PES (t)
Kfc(t)Ksc(t)
Kfc(t)Ksc(t)
Pfc(t)Psc(t)
SOC
SO
SOC
SOCfcmin SOCf c(t)SOCfcmax
SOCscmin SOCsc(t)SOCscmax
SOC
SOC
Min
[0,T ]{ECR|Kbat(t),Ksc (t)}
PEX (t) = 1
CPLoad(t), t [0, T ]
Kfc(t)
Ksc(t)
vixi
fmin λ
A0
r[0,1]
A0Amin
f
[fmin, fmax]
[λmin, λmax]
λ
f[0, fmax]
λ f λf =v
xi
vi
xt
ivt
it
fi=fmin + (fmax fmin)β
vt
i=vt1
i+ (xt
ix)fi
xt
i=xt1
i+vt
i
β[0,1]
n
xnew =xold +ϵAt
ϵ[1,+1] At=<
At
i>
At+1
i=αAt
i
rt+1
i=r0
i(1 exp(γt))
α γ
SOCfc SOCsc
Kfc
Kfc Pfc
Psc
ECR
ECR
A0
ir0
iα γ
Objectivefunction :M in
[0,T ]{ECR|Kbat(t),Ksc (t)}
which : 0.4SOCf c(t)0.8
0.3SOCsc(t)0.7
Objective function f (x), x = [x1, x2, ..., xn]t;
Initialize the bat population xi(i= 1,2, ..., n)and vi;
Def ine pulse f requency riat xi;
Initialize pulse rates riand the loudness Ai;
(t < Max number of iterations)
Generate new solutions by adjusting frequency,
And updating velocities and locations (13);
(rand > ri)
Select a solution among the best solutions,
Generate a local solution around the selected
best solution,
Generate a new solution by f lying randomly
(rand < Ai&f(xi)< f (x))
Accept the new solutions,
Increase riand reduce Ai,
Rank the bats and find the current best x,
P ost process results and visualization.
n fmin fmin A0
ir0
iα γ
2
5
× ×
×
±
SOCfc
SOCsc
ECR
ECR ECR
ECR
nd
1 / 6 100%
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