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 da_options():
from solcore.state import State
options = State()
wl = np.linspace(290, 700, 150) * 1e-9
options.T = np.random.uniform(250, 350)
options.wavelength = wl
options.light_source = da_light_source()
options.position = None
options.internal_voltages = np.linspace(-6, 4, 20)
return options
def merge_dicts(*dict_args):
"""
Given any number of dicts, shallow copy and merge into a new dict,
precedence goes to key value pairs in latter dicts.
"""
result = State()
for dictionary in dict_args:
result.update(dictionary)
return result
# General
default_options.T_ambient = 298
default_options.T = 298
# Illumination spectrum
default_options.wavelength = np.linspace(300, 1800, 251) * 1e-9
default_options.light_source = LightSource(source_type='standard',
version='AM1.5g',
x=default_options.wavelength,
output_units='photon_flux_per_m')
# IV control
default_options.voltages = np.linspace(0, 1.2, 100)
default_options.mpp = False
default_options.light_iv = False
default_options.internal_voltages = np.linspace(-6, 4, 1000)
default_options.position = None
default_options.radiative_coupling = False
