[eval_records]

- use hourse on x-axis

[luftwiderstand]
- refactored

eval_records.py

@@ -274,6 +274,8 @@ def main() -> None:
 	# Convert x-axis
 	dt_h = (np.array(time_h) - time_h[0]) / 3600 / 24 + settings.sel_days[0]
 
+	dt_h -= settings.sel_days[0]
+	dt_h *= 24
 	v_energy = []
 	v_consumption = []
 	energy = 0

luftwiderstand.py

@@ -10,7 +10,7 @@ g_RS = 287.54
 
 # CW-Wert und Stirnfläche
 c_val_id3 = 0.267
-area_id3 = 2.360	# m^3
+area_id3 = 2.360	# m^2
 
 car_list = [
 	{
@@ -50,6 +50,10 @@ car_list = [
 	}
 ]
 
+temp_list = [-20, -10, 0, 10, 20, 30]
+vel_list = [20, 40, 60, 80, 100, 120, 130, 140, 160]
+
+
 # rho: [kg/m3]
 def rho(temperature_degc: float, p_pa: float =g_p0):
 	return p_pa/(g_RS*(temperature_degc + 273.15))
@@ -61,19 +65,14 @@ def fd(rho: float, velocity_kmh: float, c_val: float, area: float):
 	res = 0.5*rho*vel*vel*cwa
 	return res
 
-def main() -> None:
+def plot_1(fd_reference):
-	# Fd vs. velocity, param: temperature
+	temps_list_leg = [f"{t}°C" for t in temp_list]
-	temps_list = [-20, -10, 0, 10, 20, 30]
-	vel_list = [20, 40, 60, 80, 100, 120, 130, 140, 160]
-	reference = fd(rho(20), 100, c_val_id3, area_id3)
-	temps_list_leg = [f"{t}°C" for t in temps_list]
-
 	plot.figure()
-	for temp_degc in temps_list:
+	for temp_degc in temp_list:
 		rho_t = rho(temp_degc)
 		y_fd = []
 		for vel_kmh in vel_list:
-			fd_t = (fd(rho_t, vel_kmh, c_val_id3, area_id3)/reference - 1) * 100
+			fd_t = (fd(rho_t, vel_kmh, c_val_id3, area_id3)/fd_reference - 1) * 100
 			y_fd.append(fd_t)
 
 		plot.plot(vel_list, y_fd)
@@ -84,14 +83,12 @@ def main() -> None:
 	plot.legend(temps_list_leg)
 	plot.grid()
 
-	# Fd vs. velocity, param: car
+def plot_2(temp=20):
-	temp = 20
+	''' Fd vs. velocity, param: car '''
-	vel_list = [20, 40, 60, 80, 100, 120, 130, 140, 160]
+	# [kmh]
 	car_list_leg = [f"{t['car']}" for t in car_list]
-
 	rho_t = rho(temp)
 	reference = fd(rho_t, 100, c_val_id3, area_id3)
-
 	plot.figure()
 	for car in car_list:
 		y_fd = []
@@ -103,19 +100,12 @@ def main() -> None:
 
 	plot.ylabel("Luftwiderstand ID.3 [%]")
 	plot.xlabel("Geschwindigkeit [km/h]")
-	plot.title(f"Windwiderstand vs Geschwindigkeit, Temperature {temp}°C")
+	plot.title(f"Luftwiderstand vs Geschwindigkeit, Temperature {temp}°C")
 	plot.legend(car_list_leg)
 	plot.grid()
 
-	y_fd = []
+def plot_3(y_fd, y_pwr, temp=20):
-	y_pwr = []
+	car_list_leg = [f"{t['car']}" for t in car_list]
-	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)
-
 	fig, ax1 = plot.subplots()
 	ax1.plot(vel_list, y_fd)
 	ax1.set_ylabel("Luftwiderstand [N]")
@@ -123,11 +113,13 @@ def main() -> None:
 	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.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()
 
+def plot_4(y_fd, y_energy, temp=20):
+	car_list_leg = [f"{t['car']}" for t in car_list]
 	fig, ax1 = plot.subplots()
 	ax1.plot(vel_list, y_fd)
 	ax1.set_ylabel("Luftwiderstand [N]")
@@ -135,11 +127,39 @@ def main() -> None:
 	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.set_ylabel("Antriebsenergie [kWh/100km]", color='tab:red')
 	ax2.plot(vel_list, y_energy, color='tab:red')
 	ax2.tick_params(axis='y', labelcolor='tab:red')
 	ax1.grid()
 	plot.show()
 
+def main() -> None:
+	# Fd vs. velocity, param: temperature
+	reference = fd(rho(20), 100, c_val_id3, area_id3)
+	temp_ref = 20
+
+	# Luftwiderstand [%] vs. Geschwindigkeit [kmh], Param: Temperatur
+	plot_1(reference)
+
+	# Luftwiderstand [%] vs. Geschwindigkeit [kmh] at 20°C, Param: Car Model
+	plot_2(temp_ref)
+
+	y_fd = []
+	y_pwr = []
+	y_energy = []
+	for vel_kmh in vel_list:
+		fd_t = fd(rho(temp_ref), 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)
+
+	# Luftwiderstand [N] / Antriebsleistung [kW] vs. Geschwindigkeit [kmh], Param: Temp
+	plot_3(y_fd, y_pwr, temp_ref)
+
+	# Luftwiderstand [N] / Antriebsenergie [kWh/100km] vs. Geschwindigkeit [kmh], Param: Temp
+	plot_4(y_fd, y_energy, temp_ref)
+
+
+
 if __name__ == '__main__':
 	main()