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pybamm-team#3611 use actual cell volume for average total heating (py…
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…bamm-team#3707)

* pybamm-team#3611 use actual cell volume for average total heating

* pybamm-team#3611 changelog

* pybamm-team#3611 account for number of electrode pairs

* pybamm-team#3611 update variable names
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rtimms authored and js1tr3 committed Aug 12, 2024
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7 changes: 6 additions & 1 deletion CHANGELOG.md
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@@ -1,8 +1,13 @@
# [Unreleased](https://github.com/pybamm-team/PyBaMM/)

## Bug Fixes
## Bug fixes

- Fixed a bug where if the first step(s) in a cycle are skipped then the cycle solution started from the model's initial conditions instead of from the last state of the previous cycle ([#3708](https://github.com/pybamm-team/PyBaMM/pull/3708))
- Fixed a bug where the lumped thermal model conflates cell volume with electrode volume ([#3707](https://github.com/pybamm-team/PyBaMM/pull/3707))

## Breaking changes
- The parameters `GeometricParameters.A_cooling` and `GeometricParameters.V_cell` are now automatically computed from the electrode heights, widths and thicknesses if the "cell geometry" option is "pouch" and from the parameters "Cell cooling surface area [m2]" and "Cell volume [m3]", respectively, otherwise. When using the lumped thermal model we recommend using the "arbitrary" cell geometry and specifying the parameters "Cell cooling surface area [m2]", "Cell volume [m3]" and "Total heat transfer coefficient [W.m-2.K-1]" directly. ([#3707](https://github.com/pybamm-team/PyBaMM/pull/3707))

# [v24.1rc0](https://github.com/pybamm-team/PyBaMM/tree/v24.1rc0) - 2024-01-31

## Features
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19 changes: 11 additions & 8 deletions docs/source/examples/notebooks/models/jelly-roll-model.ipynb

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31 changes: 10 additions & 21 deletions docs/source/examples/notebooks/models/pouch-cell-model.ipynb

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950 changes: 492 additions & 458 deletions docs/source/examples/notebooks/models/thermal-models.ipynb

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34 changes: 27 additions & 7 deletions examples/scripts/thermal_lithium_ion.py
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Expand Up @@ -6,11 +6,15 @@
pybamm.set_logging_level("INFO")

# load models
# for the full model we use the "x-full" thermal submodel, which means that we solve
# the thermal model in the x-direction for a single-layer pouch cell
# for the lumped model we use the "arbitrary" cell geometry, which means that we can
# specify the surface area for cooling and total heat transfer coefficient
full_thermal_model = pybamm.lithium_ion.SPMe(
{"thermal": "x-full"}, name="full thermal model"
)
lumped_thermal_model = pybamm.lithium_ion.SPMe(
{"thermal": "lumped"}, name="lumped thermal model"
{"cell geometry": "arbitrary", "thermal": "lumped"}, name="lumped thermal model"
)
models = [full_thermal_model, lumped_thermal_model]

Expand All @@ -31,27 +35,43 @@
}
)
# for the lumped model we set the "Total heat transfer coefficient [W.m-2.K-1]"
# parameter as well as the "Cell cooling surface area [m2]" parameter. Since the "full"
# model only accounts for cooling from the large surfaces of the pouch, we set the
# "Surface area for cooling" parameter to the area of the large surfaces of the pouch,
# and the total heat transfer coefficient to 5 W.m-2.K-1
# parameter as well as the "Cell cooling surface area [m2]" and "Cell volume [m3]
# parameters. Since the "full" model only accounts for cooling from the large surfaces
# of the pouch, we set the "Surface area for cooling [m2]" parameter to the area of the
# large surfaces of the pouch, and the total heat transfer coefficient to 5 W.m-2.K-1
A = parameter_values["Electrode width [m]"] * parameter_values["Electrode height [m]"]
contributing_layers = [
"Negative current collector",
"Negative electrode",
"Separator",
"Positive electrode",
"Positive current collector",
]
total_thickness = sum(
[parameter_values[layer + " thickness [m]"] for layer in contributing_layers]
)
electrode_volume = (
total_thickness
* parameter_values["Electrode height [m]"]
* parameter_values["Electrode width [m]"]
)
lumped_params = parameter_values.copy()
lumped_params.update(
{
"Total heat transfer coefficient [W.m-2.K-1]": 5,
"Cell cooling surface area [m2]": 2 * A,
"Cell volume [m3]": electrode_volume,
}
)
params = [full_params, lumped_params]

# loop over the models and solve
params = [full_params, lumped_params]
sols = []
for model, param in zip(models, params):
sim = pybamm.Simulation(model, parameter_values=param)
sim.solve([0, 3600])
sols.append(sim.solution)


# plot
output_variables = [
"Voltage [V]",
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19 changes: 0 additions & 19 deletions pybamm/models/full_battery_models/base_battery_model.py
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Expand Up @@ -4,7 +4,6 @@

import pybamm
from functools import cached_property
import warnings

from pybamm.expression_tree.operations.serialise import Serialise

Expand Down Expand Up @@ -683,24 +682,6 @@ def __init__(self, extra_options):
f"Possible values are {self.possible_options[option]}"
)

# Issue a warning to let users know that the 'lumped' thermal option (or
# equivalently 'x-lumped' with 0D current collectors) now uses the total heat
# transfer coefficient, surface area for cooling, and cell volume parameters,
# regardless of the 'cell geometry option' chosen.
thermal_option = options["thermal"]
dimensionality_option = options["dimensionality"]
if thermal_option == "lumped" or (
thermal_option == "x-lumped" and dimensionality_option == 0
):
message = (
f"The '{thermal_option}' thermal option with "
f"'dimensionality' {dimensionality_option} now uses the parameters "
"'Cell cooling surface area [m2]', 'Cell volume [m3]' and "
"'Total heat transfer coefficient [W.m-2.K-1]' to compute the cell "
"cooling term, regardless of the value of the the 'cell geometry' "
"option. Please update your parameters accordingly."
)
warnings.warn(message, pybamm.OptionWarning, stacklevel=2)
super().__init__(options.items())

@property
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52 changes: 47 additions & 5 deletions pybamm/models/submodels/thermal/base_thermal.py
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Expand Up @@ -179,32 +179,74 @@ def _get_standard_coupled_variables(self, variables):
Q = Q_ohm + Q_rxn + Q_rev

# Compute the X-average over the entire cell, including current collectors
# Note: this can still be a function of y and z for higher-dimensional pouch
# cell models
Q_ohm_av = self._x_average(Q_ohm, Q_ohm_s_cn, Q_ohm_s_cp)
Q_rxn_av = self._x_average(Q_rxn, 0, 0)
Q_rev_av = self._x_average(Q_rev, 0, 0)
Q_av = self._x_average(Q, Q_ohm_s_cn, Q_ohm_s_cp)

# Compute volume-averaged heat source terms
Q_ohm_vol_av = self._yz_average(Q_ohm_av)
Q_rxn_vol_av = self._yz_average(Q_rxn_av)
Q_rev_vol_av = self._yz_average(Q_rev_av)
Q_vol_av = self._yz_average(Q_av)
# Compute the integrated heat source per unit simulated electrode-pair area
# in W.m-2. Note: this can still be a function of y and z for
# higher-dimensional pouch cell models
Q_ohm_Wm2 = Q_ohm_av * param.L
Q_rxn_Wm2 = Q_rxn_av * param.L
Q_rev_Wm2 = Q_rev_av * param.L
Q_Wm2 = Q_av * param.L
# Now average over the electrode height and width
Q_ohm_Wm2_av = self._yz_average(Q_ohm_Wm2)
Q_rxn_Wm2_av = self._yz_average(Q_rxn_Wm2)
Q_rev_Wm2_av = self._yz_average(Q_rev_Wm2)
Q_Wm2_av = self._yz_average(Q_Wm2)

# Compute total heat source terms (in W) over the *entire cell volume*, not
# the product of electrode height * electrode width * electrode stack thickness
# Note: we multiply by the number of electrode pairs, since the Q_xx_Wm2_av
# variables are per electrode pair
n_elec = param.n_electrodes_parallel
A = param.L_y * param.L_z # *modelled* electrode area
Q_ohm_W = Q_ohm_Wm2_av * n_elec * A
Q_rxn_W = Q_rxn_Wm2_av * n_elec * A
Q_rev_W = Q_rev_Wm2_av * n_elec * A
Q_W = Q_Wm2_av * n_elec * A

# Compute volume-averaged heat source terms over the *entire cell volume*, not
# the product of electrode height * electrode width * electrode stack thickness
V = param.V_cell # *actual* cell volume
Q_ohm_vol_av = Q_ohm_W / V
Q_rxn_vol_av = Q_rxn_W / V
Q_rev_vol_av = Q_rev_W / V
Q_vol_av = Q_W / V

variables.update(
{
# Ohmic
"Ohmic heating [W.m-3]": Q_ohm,
"X-averaged Ohmic heating [W.m-3]": Q_ohm_av,
"Volume-averaged Ohmic heating [W.m-3]": Q_ohm_vol_av,
"Ohmic heating per unit electrode-pair area [W.m-2]": Q_ohm_Wm2,
"Ohmic heating [W]": Q_ohm_W,
# Irreversible
"Irreversible electrochemical heating [W.m-3]": Q_rxn,
"X-averaged irreversible electrochemical heating [W.m-3]": Q_rxn_av,
"Volume-averaged irreversible electrochemical heating "
+ "[W.m-3]": Q_rxn_vol_av,
"Irreversible electrochemical heating per unit "
+ "electrode-pair area [W.m-2]": Q_rxn_Wm2,
"Irreversible electrochemical heating [W]": Q_rxn_W,
# Reversible
"Reversible heating [W.m-3]": Q_rev,
"X-averaged reversible heating [W.m-3]": Q_rev_av,
"Volume-averaged reversible heating [W.m-3]": Q_rev_vol_av,
"Reversible heating per unit electrode-pair area " "[W.m-2]": Q_rev_Wm2,
"Reversible heating [W]": Q_rev_W,
# Total
"Total heating [W.m-3]": Q,
"X-averaged total heating [W.m-3]": Q_av,
"Volume-averaged total heating [W.m-3]": Q_vol_av,
"Total heating per unit electrode-pair area [W.m-2]": Q_Wm2,
"Total heating [W]": Q_W,
# Current collector
"Negative current collector Ohmic heating [W.m-3]": Q_ohm_s_cn,
"Positive current collector Ohmic heating [W.m-3]": Q_ohm_s_cp,
}
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15 changes: 13 additions & 2 deletions pybamm/parameters/geometric_parameters.py
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Expand Up @@ -42,8 +42,19 @@ def _set_parameters(self):
self.r_inner = pybamm.Parameter("Inner cell radius [m]")
self.r_outer = pybamm.Parameter("Outer cell radius [m]")
self.A_cc = self.L_y * self.L_z # Current collector cross sectional area
self.A_cooling = pybamm.Parameter("Cell cooling surface area [m2]")
self.V_cell = pybamm.Parameter("Cell volume [m3]")

# Cell surface area and volume (for thermal models only)
cell_geometry = self.options.get("cell geometry", None)
if cell_geometry == "pouch":
# assuming a single-layer pouch cell for now, see
# https://github.com/pybamm-team/PyBaMM/issues/1777
self.A_cooling = 2 * (
self.L_y * self.L_z + self.L_z * self.L + self.L_y * self.L
)
self.V_cell = self.L_y * self.L_z * self.L
else:
self.A_cooling = pybamm.Parameter("Cell cooling surface area [m2]")
self.V_cell = pybamm.Parameter("Cell volume [m3]")


class DomainGeometricParameters(BaseParameters):
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