def test_process_junction_pn():
from solcore.analytic_solar_cells.depletion_approximation import identify_layers, identify_parameters
from solcore import material
from solcore.structure import Layer, Junction
from solcore.state import State
Na = np.power(10, np.random.uniform(22, 25))
Nd = np.power(10, np.random.uniform(23, 26))
options = State()
options.T = np.random.uniform(250, 350)
Lp = np.power(10, np.random.uniform(-9, -6)) # Diffusion length
Ln = np.power(10, np.random.uniform(-9, -6)) # Diffusion length
GaAs_n = material("GaAs")(Nd=Nd, hole_diffusion_length=Ln)
GaAs_p = material("GaAs")(Na=Na, electron_diffusion_length=Lp)
p_width = np.random.uniform(500, 1000)*1e-9
n_width = np.random.uniform(3000, 5000)*1e-9
test_junc = Junction([Layer(p_width, GaAs_p, role="emitter"), Layer(n_width, GaAs_n, role="base")])
id_top, id_bottom, pRegion, nRegion, iRegion, pn_or_np = identify_layers(test_junc)
xn, xp, xi, sn, sp, ln, lp, dn, dp, Nd_c, Na_c, ni, es = identify_parameters(test_junc, options.T, pRegion, nRegion, iRegion)
ni_expect = GaAs_n.ni
assert [id_top, id_bottom] == approx([0, 1])
assert pn_or_np == 'pn'
assert [xn, xp, xi, sn, sp, ln, lp, dn, dp, Nd_c, Na_c, ni, es] == approx([n_width, p_width, 0, 0, 0, Lp, Ln, GaAs_n.hole_mobility * kb * options.T / q,
GaAs_p.electron_mobility * kb * options.T / q, Nd, Na, ni_expect, GaAs_n.permittivity])
def test_process_junction_set_in_junction():
from solcore.analytic_solar_cells.depletion_approximation import identify_layers, identify_parameters
from solcore import material
from solcore.structure import Layer, Junction
from solcore.state import State
options = State()
options.T = np.random.uniform(250, 350)
Lp = np.power(10, np.random.uniform(-9, -6)) # Diffusion length
Ln = np.power(10, np.random.uniform(-9, -6)) # Diffusion length
sn = np.power(10, np.random.uniform(0, 3))
sp = np.power(10, np.random.uniform(0, 3))
se = np.random.uniform(1, 20) * vacuum_permittivity
GaAs_n = material("GaAs")()
GaAs_p = material("GaAs")()
GaAs_i = material("GaAs")()
p_width = np.random.uniform(500, 1000)
n_width = np.random.uniform(3000, 5000)
i_width = np.random.uniform(100, 300) * 1e-9
mun = np.power(10, np.random.uniform(-5, 0))
mup = np.power(10, np.random.uniform(-5, 0))
Vbi = np.random.uniform(0, 3)
test_junc = Junction([
Layer(p_width, GaAs_p, role="emitter"),
Layer(i_width, GaAs_i, role="intrinsic"),
Layer(n_width, GaAs_n, role="base")
],
sn=sn,
sp=sp,
permittivity=se,
ln=Ln,
lp=Lp,
mup=mup,
mun=mun,
Vbi=Vbi)
id_top, id_bottom, pRegion, nRegion, iRegion, pn_or_np = identify_layers(
test_junc)
xn, xp, xi, sn_c, sp_c, ln, lp, dn, dp, Nd_c, Na_c, ni, es = identify_parameters(
test_junc, options.T, pRegion, nRegion, iRegion)
ni_expect = GaAs_n.ni
assert [id_top, id_bottom] == approx([0, 2])
assert pn_or_np == 'pn'
assert [xn, xp, xi, sn_c, sp_c, ln, lp, dn, dp, Nd_c, Na_c, ni,
es] == approx([
n_width, p_width, i_width, sn, sp, Ln, Lp,
mun * kb * options.T / q, mup * kb * options.T / q, 1, 1,
ni_expect, se
])
def test_dark_iv_depletion_np(np_junction):
from solcore.analytic_solar_cells.depletion_approximation import iv_depletion, get_depletion_widths, get_j_dark, get_Jsrh, identify_layers, identify_parameters
from scipy.interpolate import interp1d
test_junc, options = np_junction
options.light_iv = False
T = options.T
test_junc[0].voltage = options.internal_voltages
id_top, id_bottom, pRegion, nRegion, iRegion, pn_or_np = identify_layers(test_junc[0])
xn, xp, xi, sn, sp, ln, lp, dn, dp, Nd, Na, ni, es = identify_parameters(test_junc[0], T, pRegion, nRegion, iRegion)
niSquared = ni**2
kbT = kb * T
Vbi = (kbT / q) * np.log(Nd * Na / niSquared)
V = np.where(test_junc[0].voltage < Vbi - 0.001, test_junc[0].voltage, Vbi - 0.001)
wn, wp = get_depletion_widths(test_junc[0], es, Vbi, V, Na, Nd, xi)
w = wn + wp + xi
l_bottom, l_top = ln, lp
x_bottom, x_top = xp, xn
w_bottom, w_top = wp, wn
s_bottom, s_top = sp, sn
d_bottom, d_top = dp, dn
min_bot, min_top = niSquared / Na, niSquared / Nd
JtopDark = get_j_dark(x_top, w_top, l_top, s_top, d_top, V, min_top, T)
JbotDark = get_j_dark(x_bottom, w_bottom, l_bottom, s_bottom, d_bottom, V, min_bot, T)
JpDark, JnDark = JbotDark, JtopDark
lifetime_n = ln ** 2 / dn
lifetime_p = lp ** 2 / dp # Jenny p163
Jrec = get_Jsrh(ni, V, Vbi, lifetime_p, lifetime_n, w, kbT)
J_sc_top = 0
J_sc_bot = 0
J_sc_scr = 0
current = Jrec + JnDark + JpDark + V / 1e14- J_sc_top - J_sc_bot - J_sc_scr
iv = interp1d(test_junc[0].voltage, current, kind='linear', bounds_error=False, assume_sorted=True,
fill_value=(current[0], current[-1]), copy=True)
iv_depletion(test_junc[0], options)
assert test_junc[0].iv(options.internal_voltages) == approx(iv(options.internal_voltages), nan_ok=True)
def test_identify_layers_exceptions():
from solcore.analytic_solar_cells.depletion_approximation import identify_layers
from solcore import material
from solcore.structure import Layer, Junction
Na = np.power(10, np.random.uniform(22, 25))
Nd = np.power(10, np.random.uniform(22, 25))
Lp = np.power(10, np.random.uniform(-9, -6)) # Diffusion length
Ln = np.power(10, np.random.uniform(-9, -6)) # Diffusion length
GaAs_n = material("GaAs")(Nd=Nd, hole_diffusion_length=Ln)
GaAs_p = material("GaAs")(Na=Na, electron_diffusion_length=Lp)
GaAs_i = material("GaAs")()
Ge_n = material("Ge")(Nd=Nd, hole_diffusion_length=Ln)
n_width = np.random.uniform(500, 1000) * 1e-9
p_width = np.random.uniform(3000, 5000) * 1e-9
i_width = np.random.uniform(300, 500) * 1e-9
test_junc = Junction([
Layer(n_width, GaAs_n, role="emitter"),
Layer(p_width, GaAs_p, role="neither")
])
with raises(RuntimeError):
identify_layers(test_junc)
test_junc = Junction([
Layer(n_width, GaAs_n, role="emitter"),
Layer(i_width, GaAs_i, role="intrinsic"),
Layer(p_width, GaAs_p, role="nothing")
])
with raises(RuntimeError):
identify_layers(test_junc)
test_junc = Junction([
Layer(n_width, Ge_n, role="emitter"),
Layer(p_width, GaAs_p, role="base")
])
with raises(AssertionError):
identify_layers(test_junc)