Skip to content

Commit

Permalink
Align TtW efficiency code with carculator (cars)
Browse files Browse the repository at this point in the history
  • Loading branch information
romainsacchi committed Aug 31, 2024
1 parent a973b72 commit 14155ce
Showing 1 changed file with 40 additions and 14 deletions.
54 changes: 40 additions & 14 deletions carculator_truck/model.py
Original file line number Diff line number Diff line change
Expand Up @@ -91,7 +91,10 @@ def set_all(self, electric_utility_factor: float = None):
self.set_recuperation()
self.set_battery_preferences()

self.calculate_ttw_energy()
if self.energy_consumption:
self.override_ttw_energy()
else:
self.calculate_ttw_energy()
self.set_ttw_efficiency()

self.set_share_recuperated_energy()
Expand Down Expand Up @@ -370,33 +373,56 @@ def calculate_ttw_energy(self):
)
).T.values

self["TtW energy"] = (
self.energy.sel(
parameter=["motive energy", "auxiliary energy", "recuperated energy"]
)
.sum(dim=["second", "parameter"])
.values
/ distance.values
).T

self["engine efficiency"] = (
self["transmission efficiency"] = (
np.ma.array(
self.energy.loc[dict(parameter="engine efficiency")],
self.energy.loc[dict(parameter="transmission efficiency")],
mask=self.energy.loc[dict(parameter="power load")] == 0.0,
)
.mean(axis=0)
.T
)

self["transmission efficiency"] = (
self["engine efficiency"] = (
np.ma.array(
self.energy.loc[dict(parameter="transmission efficiency")],
self.energy.loc[dict(parameter="engine efficiency")],
mask=self.energy.loc[dict(parameter="power load")] == 0.0,
)
.mean(axis=0)
.T
)

self["TtW energy"] = (
self.energy.sel(
parameter=[
"motive energy",
"auxiliary energy",
]
).sum(dim=["second", "parameter"])
/ distance
).T

# saved_TtW_energy_by_recuperation = recuperated energy
# * electric motor efficiency * electric transmission efficiency
# / (engine efficiency * transmission efficiency)

self["TtW energy"] += (
(
self.energy.sel(parameter="recuperated energy").sum(dim="second")
/ distance
).T
* self.array.sel(parameter="engine efficiency")
* self.array.sel(parameter="transmission efficiency")
/ (
self["engine efficiency"]
* self["transmission efficiency"]
* np.where(
self["fuel cell system efficiency"] == 0,
1,
self["fuel cell system efficiency"],
)
)
)

self["TtW energy, combustion mode"] = self["TtW energy"] * (
self["combustion power share"] > 0
)
Expand Down

0 comments on commit 14155ce

Please sign in to comment.