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refactored

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jens
2025-03-30 13:10:48 +02:00
parent 7eb0ab96ef
commit 8eaafb6bda
6 changed files with 109 additions and 100 deletions
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deep_diff.py
+3 -2
View File
@@ -34,8 +34,7 @@ def deep_merge(d, u, only_existing=True):
d[k] = u[k]
return d
if __name__ == '__main__':
def main() -> None:
files = [
"results/WVWZZZE1ZMP010760/2024/10/18/vehicle_WVWZZZE1ZMP010760_2024-10-15T12-05-23.json",
"results/WVWZZZE1ZMP010760/2024/10/19/vehicle_WVWZZZE1ZMP010760_2024-10-19T00-00-34.json",
@@ -72,3 +71,5 @@ if __name__ == '__main__':
# Check integrity
assert src == merged_list
if __name__ == '__main__':
main()
eval_records.py
+4 -2
View File
@@ -235,8 +235,7 @@ def make_values(_ts_list, _ep: Endpoint, ic=0):
return v_list
if __name__ == '__main__':
def main() -> None:
end_points = []
for k in settings.eps_defs.keys():
end_points.append(Endpoint(k, settings.eps_defs[k]))
@@ -326,3 +325,6 @@ if __name__ == '__main__':
plot.grid()
plot.show()
if __name__ == '__main__':
main()
innenwiderstand.py
+41 -37
View File
@@ -29,46 +29,50 @@ def model_bat_dcr(temperature: float, soc: float, p: Params):
return rb * np.exp(p.alpha*(t2 - tb2) + p.beta*(_t - tb))
temps = [0, 5, 10, 20, 25, 40]
pl = 10000
il = 100
ul = 100
rl = ul/il
p_ = np.linspace(0, 20000, 100)
i_ = p_/ul
def main() -> None:
temps = [0, 5, 10, 20, 25, 40]
pl = 10000
il = 100
ul = 100
rl = ul/il
p_ = np.linspace(0, 20000, 100)
i_ = p_/ul
bat_params = Params(alpha=0.0007545, beta=-0.07033)
rt_ = []
for t in temps:
rt_.append(model_bat_dcr(t, 100, bat_params))
bat_params = Params(alpha=0.0007545, beta=-0.07033)
rt_ = []
for t in temps:
rt_.append(model_bat_dcr(t, 100, bat_params))
plot.figure()
plot.plot(temps, rt_)
r, t = bas(100)
plot.title(f"DCR vs temperature (Base DCR={r}@{t}°C)")
plot.xlabel("Temperature [°C]")
plot.ylabel("R [Ohm]")
plot.grid()
titles = [
"Battery power loss vs internal battery resistance (DCR)",
"Batter power consumption vs internal battery resistance (DCR)"
]
for sp, name, title in zip([0, 1], ["P_loss [kW]", "P_batt [kW]"], titles):
plot.figure()
legs = []
plot.plot(temps, rt_)
r, t = bas(100)
plot.title(f"DCR vs temperature (Base DCR={r}@{t}°C)")
plot.xlabel("Temperature [°C]")
plot.ylabel("R [Ohm]")
plot.grid()
for temp in temps:
dcr = model_bat_dcr(temp, 100, bat_params)
pi_ = (dcr * i_ * i_) + sp*p_
x = p_/1000
y = pi_/1000
legs.append(f"temp={temp} °C")
plot.plot(x, y)
plot.xlabel("P_demand [kW]")
plot.title(title)
plot.legend(legs)
plot.ylabel(name)
titles = [
"Battery power loss vs internal battery resistance (DCR)",
"Batter power consumption vs internal battery resistance (DCR)"
]
for sp, name, title in zip([0, 1], ["P_loss [kW]", "P_batt [kW]"], titles):
plot.figure()
legs = []
plot.grid()
for temp in temps:
dcr = model_bat_dcr(temp, 100, bat_params)
pi_ = (dcr * i_ * i_) + sp*p_
x = p_/1000
y = pi_/1000
legs.append(f"temp={temp} °C")
plot.plot(x, y)
plot.xlabel("P_demand [kW]")
plot.show()
plot.title(title)
plot.legend(legs)
plot.ylabel(name)
plot.show()
if __name__ == '__main__':
main()
jay_diff.py
+3 -3
View File
@@ -120,9 +120,7 @@ def jay_merge_full(_old, _diff):
return res
if __name__ == '__main__':
def main() -> None:
result = jay_diff_add({}, {'a': 'hamburger', 'b': 'fries', 'c': {'e': 'coke', 'f': 'coffee'}})
assert result == {'a':'hamburger', 'b':'fries', 'c': {'e': 'coke', 'f': 'coffee'}}
@@ -566,3 +564,5 @@ if __name__ == '__main__':
result = jay_merge_full(old, {'update':update, 'add':add, 'delete':delete})
assert result == old
if __name__ == '__main__':
main()
luftwiderstand.py
+54 -52
View File
@@ -54,7 +54,6 @@ car_list = [
def rho(temperature_degc: float, p_pa: float =g_p0):
return p_pa/(g_RS*(temperature_degc + 273.15))
# Force : N = kg·m·s2
def fd(rho: float, velocity_kmh: float, c_val: float, area: float):
vel = velocity_kmh / 3.6
@@ -62,63 +61,66 @@ def fd(rho: float, velocity_kmh: float, c_val: float, area: float):
res = 0.5*rho*vel*vel*cwa
return res
def main() -> None:
# Fd vs. velocity, param: temperature
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]
# Fd vs. velocity, param: temperature
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:
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
y_fd.append(fd_t)
plot.figure()
for temp_degc in temps_list:
rho_t = rho(temp_degc)
plot.plot(vel_list, y_fd)
plot.title("Windwiderstand vs Geschwindigkeit")
plot.ylabel("Windwiderstand [%]")
plot.xlabel("Geschwindigkeit [km/h]")
plot.legend(temps_list_leg)
plot.grid()
# Fd vs. velocity, param: car
temp = 20
vel_list = [20, 40, 60, 80, 100, 120, 130, 140, 160]
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 = []
for vel_kmh in vel_list:
fd_t = (fd(rho_t, vel_kmh, car['cw'], car['area'])/reference - 1) * 100
y_fd.append(fd_t)
plot.plot(vel_list, y_fd)
plot.ylabel("Windwiderstand ID.3 [%]")
plot.xlabel("Geschwindigkeit [km/h]")
plot.title("Windwiderstand vs Geschwindigkeit")
plot.legend(car_list_leg)
plot.grid()
plot.figure()
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)
y_fd.append(fd_t)
plot.plot(vel_list, y_fd)
plot.title("Windwiderstand vs Geschwindigkeit")
plot.ylabel("Windwiderstand [%]")
plot.xlabel("Geschwindigkeit [km/h]")
plot.legend(temps_list_leg)
plot.grid()
plot.ylabel("Windwiderstand [N]")
plot.xlabel("Geschwindigkeit [km/h]")
plot.title("Windwiderstand vs Geschwindigkeit")
plot.legend(car_list_leg)
plot.grid()
plot.show()
# Fd vs. velocity, param: car
temp = 20
vel_list = [20, 40, 60, 80, 100, 120, 130, 140, 160]
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 = []
for vel_kmh in vel_list:
fd_t = (fd(rho_t, vel_kmh, car['cw'], car['area'])/reference - 1) * 100
y_fd.append(fd_t)
plot.plot(vel_list, y_fd)
plot.ylabel("Windwiderstand ID.3 [%]")
plot.xlabel("Geschwindigkeit [km/h]")
plot.title("Windwiderstand vs Geschwindigkeit")
plot.legend(car_list_leg)
plot.grid()
plot.figure()
y_fd = []
for vel_kmh in vel_list:
fd_t = fd(rho_t, vel_kmh, c_val_id3, area_id3)
y_fd.append(fd_t)
plot.plot(vel_list, y_fd)
plot.ylabel("Windwiderstand [N]")
plot.xlabel("Geschwindigkeit [km/h]")
plot.title("Windwiderstand vs Geschwindigkeit")
plot.legend(car_list_leg)
plot.grid()
plot.show()
if __name__ == '__main__':
main()
we_collector.py
+4 -4
View File
@@ -23,7 +23,6 @@ domains = [
"measurements"
]
class WeCollector:
def __init__(self, user):
# Init collecting records
@@ -92,7 +91,6 @@ class WeCollector:
except Exception as e:
print(f"Exception: {e}")
def request_loop(wc: WeCollector):
_date_last = None
_file_timestamp = None
@@ -122,8 +120,7 @@ def request_loop(wc: WeCollector):
time_to_wait = 0
time.sleep(time_to_wait)
if __name__ == '__main__':
def main() -> None:
parser = argparse.ArgumentParser(prog="We Collect", description="Collects vehicle data")
parser.add_argument("username", help="Username to collect data for (must exist in credentials.py)")
parser.add_argument("--loop", help="Execute once or create event loop", type=bool, default=False)
@@ -142,3 +139,6 @@ if __name__ == '__main__':
print(f"Terminated with Exception {e}")
print(f"Terminated Normally")
if __name__ == '__main__':
main()