diff --git a/luftwiderstand.py b/luftwiderstand.py
index b85a72b..8c34a27 100644
--- a/luftwiderstand.py
+++ b/luftwiderstand.py
@@ -78,8 +78,8 @@ def main() -> None:
 
 		plot.plot(vel_list, y_fd)
 
-	plot.title("Windwiderstand vs Geschwindigkeit")
-	plot.ylabel("Windwiderstand [%]")
+	plot.title("Luftwiderstand vs Geschwindigkeit")
+	plot.ylabel("Luftwiderstand [%]")
 	plot.xlabel("Geschwindigkeit [km/h]")
 	plot.legend(temps_list_leg)
 	plot.grid()
@@ -101,25 +101,44 @@ def main() -> None:
 
 		plot.plot(vel_list, y_fd)
 
-	plot.ylabel("Windwiderstand ID.3 [%]")
+	plot.ylabel("Luftwiderstand ID.3 [%]")
 	plot.xlabel("Geschwindigkeit [km/h]")
-	plot.title("Windwiderstand vs Geschwindigkeit")
+	plot.title(f"Windwiderstand vs Geschwindigkeit, Temperature {temp}°C")
 	plot.legend(car_list_leg)
 	plot.grid()
 
-	plot.figure()
 	y_fd = []
+	y_pwr = []
+	y_energy = []
 	for vel_kmh in vel_list:
 		fd_t = fd(rho_t, vel_kmh, c_val_id3, area_id3)
 		y_fd.append(fd_t)
+		y_pwr.append(fd_t*vel_kmh/1000/3.6)
+		y_energy.append(fd_t*vel_kmh/1000/3.6*100/vel_kmh)
 
-	plot.plot(vel_list, y_fd)
+	fig, ax1 = plot.subplots()
+	ax1.plot(vel_list, y_fd)
+	ax1.set_ylabel("Luftwiderstand [N]")
+	ax1.set_xlabel("Geschwindigkeit [km/h]")
+	ax1.set_title(f"Luftwiderstand vs Geschwindigkeit, Temperature {temp}°C")
+	ax1.legend(car_list_leg)
+	ax2 = ax1.twinx()
+	ax2.set_ylabel("Antriebsleistung [kw]", color='tab:red')
+	ax2.plot(vel_list, y_pwr, color='tab:red')
+	ax2.tick_params(axis='y', labelcolor='tab:red')
+	ax1.grid()
 
-	plot.ylabel("Windwiderstand [N]")
-	plot.xlabel("Geschwindigkeit [km/h]")
-	plot.title("Windwiderstand vs Geschwindigkeit")
-	plot.legend(car_list_leg)
-	plot.grid()
+	fig, ax1 = plot.subplots()
+	ax1.plot(vel_list, y_fd)
+	ax1.set_ylabel("Luftwiderstand [N]")
+	ax1.set_xlabel("Geschwindigkeit [km/h]")
+	ax1.set_title(f"Luftwiderstand vs Geschwindigkeit, Temperature {temp}°C")
+	ax1.legend(car_list_leg)
+	ax2 = ax1.twinx()
+	ax2.set_ylabel("Antriebsenergie [kwh]", color='tab:red')
+	ax2.plot(vel_list, y_energy, color='tab:red')
+	ax2.tick_params(axis='y', labelcolor='tab:red')
+	ax1.grid()
 	plot.show()
 
 if __name__ == '__main__':