CoC Fahrwiderstände visualsieren

CoC Fahrwiderstände.ipynb

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    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#poly: 0.01851,1.6,211\n",
    "\n",
    "curve = [0.01851,1.6,211] # 2474 kg Turbo\n",
    "curveRoll = [0.0,1.6,211] # nur Roll\n",
    "curveLu = [0.01851,0.0,0.0] #  nur Luft\n",
    "curve4S = [0.01737,1.6,192.1] # Prüfmasse 2334kg Taycan 4s kleine Batterie\n",
    "curveModelY = [0.02658, 1.059,163.04] #2211kg 255er 19\"\n",
    "curvePanaGTS = [0.03036, 1.7, 212.6] # Panamera GTS\n",
    "x =  [x for x in np.linspace(0,250,251)]\n",
    "\n",
    "r = [np.polyval(curve, i) for i in x]\n",
    "rroll = [np.polyval(curveRoll, i) for i in x]\n",
    "rlu = [np.polyval(curveLu, i) for i in x]\n",
    "r4s = [np.polyval(curve4S, i) for i in x]\n",
    "rmy = [np.polyval(curveModelY, i) for i in x]\n",
    "\n",
    "y = [y/36 for y in r]\n",
    "yr = [y/36 for y in rroll]\n",
    "y4s = [y/36 for y in r4s]\n",
    "yl = [y/36 for y in rlu]\n",
    "ymy = [y/36 for y in rmy]\n",
    "\n",
    "eta = 0.85 #90%\n",
    "fix = 0.55 #~ 1 kW ständiger Verbrauch für ECUs etc.\n",
    "\n",
    "plt.plot(x,y, label=\"Taycan Turbo 20 \")\n",
    "y = [(r*(1/eta))+((100/v)*fix) for v,r in zip(x,y)]\n",
    "\n",
    "plt.grid(True)\n",
    "#add title\n",
    "plt.title(\"Fahrwiderstand/Verbrauch\")\n",
    "#add x and y labels\n",
    "\n",
    "plt.xlabel(\"km/h\")\n",
    "\n",
    "#show legend for plot  \n",
    "\n",
    "plt.plot(x,y, 'r--' ,label=\"Taycan Turbo 20 real \")\n",
    "plt.plot(x,yr, label=\"Taycan Rollwiderstand\") #\"Taycan 4S 19 kl. Akku\")\n",
    "plt.plot(x,yl, label=\"Taycan Luftwiderstand\") #\"Taycan 4S 19 kl. Akku\")\n",
    "plt.plot(x,ymy, label=\"Model Y LR 19\") #Panamera GTS 21\" )\n",
    "plt.legend()  \n",
    "\n",
    "plt.ylabel(\"kWh/100km\")\n",
    "# change plot size\n",
    "plt.rcParams[\"figure.figsize\"] = (12,12)\n",
    "# grid granularity\n",
    "plt.yticks(np.arange(0, 60, 2))\n",
    "plt.ylim(0,44)\n",
    "plt.xlim(5,200)\n",
    "\n",
    "plt.show()\n"
   ]
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    "eta=0.9 #90%\n",
    "fix = 1 #1 kW\n",
    "\n",
    "y = [r*eta+((100/v)*fix) for v,r in zip(x,y)]\n",
    "y4s = [y*eta for y in y4s]\n",
    "ymy = [y*eta for y in ymy]\n",
    "y\n"
   ]
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    "\n",
    "[x1+y1 for x1, y1 in zip(x, y)]"
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source

import numpy as np
import matplotlib.pyplot as plt

#poly: 0.01851,1.6,211

curve = [0.01851,1.6,211] # 2474 kg Turbo
curveRoll = [0.0,1.6,211] # nur Roll
curveLu = [0.01851,0.0,0.0] #  nur Luft
curve4S = [0.01737,1.6,192.1] # Prüfmasse 2334kg Taycan 4s kleine Batterie
curveModelY = [0.02658, 1.059,163.04] #2211kg 255er 19"
curvePanaGTS = [0.03036, 1.7, 212.6] # Panamera GTS
x =  [x for x in np.linspace(0,250,251)]

r = [np.polyval(curve, i) for i in x]
rroll = [np.polyval(curveRoll, i) for i in x]
rlu = [np.polyval(curveLu, i) for i in x]
r4s = [np.polyval(curve4S, i) for i in x]
rmy = [np.polyval(curveModelY, i) for i in x]

y = [y/36 for y in r]
yr = [y/36 for y in rroll]
y4s = [y/36 for y in r4s]
yl = [y/36 for y in rlu]
ymy = [y/36 for y in rmy]

eta = 0.85 #90%
fix = 0.55 #~ 1 kW ständiger Verbrauch für ECUs etc.

plt.plot(x,y, label="Taycan Turbo 20 ")
y = [(r*(1/eta))+((100/v)*fix) for v,r in zip(x,y)]

plt.grid(True)
#add title
plt.title("Fahrwiderstand/Verbrauch")
#add x and y labels

plt.xlabel("km/h")

#show legend for plot  

plt.plot(x,y, 'r--' ,label="Taycan Turbo 20 real ")
plt.plot(x,yr, label="Taycan Rollwiderstand") #"Taycan 4S 19 kl. Akku")
plt.plot(x,yl, label="Taycan Luftwiderstand") #"Taycan 4S 19 kl. Akku")
plt.plot(x,ymy, label="Model Y LR 19") #Panamera GTS 21" )
plt.legend()  

plt.ylabel("kWh/100km")
# change plot size
plt.rcParams["figure.figsize"] = (12,12)
# grid granularity
plt.yticks(np.arange(0, 60, 2))
plt.ylim(0,44)
plt.xlim(5,200)

plt.show()