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I couldn’t upload the file of the code so here is is?:
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I couldn’t upload the file of the code so here is is?:
################################################################################
# This function does the optimization for the resistor #
# Inputs: #
# r_value – value of the resistor #
# ide_value – value of the ideality #
# phi_value – value of phi #
# area – area of the diode #
# temp – temperature #
# src_v – source voltage #
# meas_i – measured current #
# Outputs: #
# err_array – array of error measurements #
################################################################################
def opt_r(r_value,ide_value,phi_value,area,temp,src_v,meas_i):
est_v = np.zeros_like(src_v) # an array to hold the diode voltages
diode_i = np.zeros_like(src_v) # an array to hold the diode currents
prev_v = P1_VDD_STEP # an initial guess for the voltage
# need to compute the reverse bias saturation current for this phi!
is_value = area * temp * temp * np.exp(-phi_value * Q / ( KB * temp ) )
for index in range(len(src_v)):
prev_v = optimize.fsolve(solve_diode_v,prev_v,
(src_v[index],r_value,ide_value,temp,is_value),
xtol=1e-12)[0]
est_v[index] = prev_v # store for error analysis
# compute the diode current
diode_i = compute_diode_current(est_v,ide_value,temp,is_value)
return meas_i – diode_i
################################################################################
# This is how leastsq calls opt_r #
################################################################################
r_val_opt = optimize.leastsq(opt_r,r_val,
args=(ide_val,phi_val,P2_AREA,P2_T,
source_v,meas_diode_i))
r_val = r_val_opt[0][0]
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