SPICE VDMOS amplifier with self-heating

load "spice/full/vdmos.osdi"
load "resistor.osdi"
load "capacitor.osdi"

model v vsource
model r resistor
model c capacitor

subckt namp()
  model nm sp_vdmos ( type=1 
    vto=4 kp=5.9 lambda=0.001 theta=0.015 ksubthres=0.27
    rd=61m rs=18m rg=3 rds=1e7
    cgdmax=2.45n cgdmin=10p a=0.3 cgs=1.2n
    is=60p n=1.1 rb=14m xti=3
    cjo=1.5n vj=0.8 m=0.5
    tcvth=0.0065 mu=-1.27 texp0=1.5
    rthjc=0.4 cthj=5e-3 rthca=4
    mtriode=0.8 vq=100 rq=0.5
    kf=0.032f af=1
  )
  vdd (1 0) v dc=20
  vd (1 10) v dc=0
  rd (10 d) r r=20
  m1 (d g 0 tj tc) nm $mfactor=2 thermal_enabled=1
  r1 (1 g) r r=79k
  r2 (g 0) r r=21k
  c1 (in g) c c=1u
  vin (in 0) v dc=0 mag=1 type="sine" ampl=10m freq=1k
ends


control
  elaborate circuit("namp")
  clear saves
  save default p(m1,gm) p(m1,p)
  analysis op1 op

  // Initial junction temperature is 27 deg C
  analysis tran1 tran step=0.1m stop=0.2 maxstep=0.1m icmode="uic" ic=["tj"; 27]
  
  postprocess(PYTHON, "runme.py")
endc

embed "runme.py" <<<FILE
from rawfile import rawread
import numpy as np
import matplotlib.pyplot as plt
import sys

raw = rawread('op1.raw')
plot = raw.get()
for name in plot.names:
    print(name, plot[name])

raw = rawread('tran1.raw')
plot = raw.get()

fig1 = plt.figure(figsize=(8,8), dpi=100)
fig1.suptitle('VDMOS NMOS amplifier self-heating')
ax_dict = fig1.subplot_mosaic("""
A
B
C
D
""")

ax_dict["A"].set_title('Input')
ax_dict["A"].set_ylabel('Vin [V]')
ax_dict["A"].set_xlabel('time [ms]')
ax_dict["A"].plot(plot['time']*1e3, plot['in'])

ax_dict["B"].set_title('Output')
ax_dict["B"].set_ylabel('Vout [V]')
ax_dict["B"].set_xlabel('time [ms]')
ax_dict["B"].plot(plot['time']*1e3, plot['d'])

ax_dict["C"].set_title('Power (per parallel instance)')
ax_dict["C"].set_ylabel('p [W]')
ax_dict["C"].set_xlabel('time [ms]')
ax_dict["C"].plot(plot['time']*1e3, plot['m1.p'])

ax_dict["D"].set_title('Temperature')
ax_dict["D"].set_ylabel('T [oC]')
ax_dict["D"].set_xlabel('time [ms]')
ax_dict["D"].plot(plot['time']*1e3, plot['tj'], label="delta Tj")
ax_dict["D"].plot(plot['time']*1e3, plot['tc'], label="delta Tc")
# Power refers to a single parallel instance - so we multiply with rthjc+rthca
# to obtain the target junction temperature increase
ax_dict["D"].plot(plot['time']*1e3, 27+plot['m1.p']*(0.4+4), label="delta Tj target")
ax_dict["D"].legend(loc='lower right')

fig1.tight_layout()



plt.show()
>>>FILE


