diff --git a/.github/workflows/build_wheels.yml b/.github/workflows/build_wheels.yml index 13bee6405b..b8264ea3ee 100644 --- a/.github/workflows/build_wheels.yml +++ b/.github/workflows/build_wheels.yml @@ -2,7 +2,7 @@ name: Build on: push: - branches: master + branches: main workflow_dispatch: inputs: target: diff --git a/CHANGELOG.md b/CHANGELOG.md index 4fd34b99d9..b47a719124 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,4 +1,12 @@ -# [Unreleased](https://github.com/pybamm-team/PyBaMM) +# [v0.4.0](https://github.com/pybamm-team/PyBaMM/tree/v0.4.0) - 2021-03-27 + +This release introduces: +- several new models, including reversible and irreversible plating submodels, submodels for loss of active material, Yang et al.'s (2017) coupled SEI/plating/pore clogging model, and the Newman-Tobias model +- internal optimizations for solving models, particularly for simulating experiments, with more accurate event detection and more efficient numerical methods and post-processing +- parallel solutions of a model with different inputs +- a cleaner installation process for Mac when installing from PyPI, no longer requiring a Homebrew installation of Sundials +- improved plotting functionality, including adding a new 'voltage component' plot +- several other new features, optimizations, and bug fixes, summarized below ## Features - Added `NewmanTobias` li-ion battery model ([#1423](https://github.com/pybamm-team/PyBaMM/pull/1423)) @@ -59,7 +67,7 @@ - Operations such as `1*x` and `0+x` now directly return `x`. This can be bypassed by explicitly creating the binary operators, e.g. `pybamm.Multiplication(1, x)` ([#1252](https://github.com/pybamm-team/PyBaMM/pull/1252)) - `'Cell capacity [A.h]'` has been renamed to `'Nominal cell capacity [A.h]'`. `'Cell capacity [A.h]'` will be deprecated in the next release. ([#1352](https://github.com/pybamm-team/PyBaMM/pull/1352)) -# [v0.3.0](https://github.com/pybamm-team/PyBaMM) - 2020-11-22 +# [v0.3.0](https://github.com/pybamm-team/PyBaMM/tree/v0.3.0) - 2020-12-01 This release introduces a new aging model for particle swelling and cracking, a new reduced-order model (TSPMe), and a parameter set for A123 LFP cells. Additionally, there have been several backend optimizations to speed up model creation and solving, and other minor features and bug fixes. @@ -135,7 +143,7 @@ This release adds new operators for more complex models, some basic sensitivity # [v0.2.3](https://github.com/pybamm-team/PyBaMM/tree/v0.2.3) - 2020-07-01 -This release enables the use of [Google Colab](https://colab.research.google.com/github/pybamm-team/PyBaMM/blob/master/) for running example notebooks, and adds some small new features and bug fixes. +This release enables the use of [Google Colab](https://colab.research.google.com/github/pybamm-team/PyBaMM/blob/main/) for running example notebooks, and adds some small new features and bug fixes. ## Features @@ -364,7 +372,7 @@ This release introduces many new features and optimizations. All models can now - Removed `Outer` and `Kron` nodes as no longer used ([#777](https://github.com/pybamm-team/PyBaMM/pull/777)) - Moved `results` to separate repositories ([#761](https://github.com/pybamm-team/PyBaMM/pull/761)) - The parameters "Bruggeman coefficient" must now be specified separately as "Bruggeman coefficient (electrolyte)" and "Bruggeman coefficient (electrode)" -- The current classes (`GetConstantCurrent`, `GetUserCurrent` and `GetUserData`) have now been removed. Please refer to the [`change-input-current` notebook](https://github.com/pybamm-team/PyBaMM/blob/master/examples/notebooks/change-input-current.ipynb) for information on how to specify an input current +- The current classes (`GetConstantCurrent`, `GetUserCurrent` and `GetUserData`) have now been removed. Please refer to the [`change-input-current` notebook](https://github.com/pybamm-team/PyBaMM/blob/main/examples/notebooks/change-input-current.ipynb) for information on how to specify an input current - Parameter functions must now use pybamm functions instead of numpy functions (e.g. `pybamm.exp` instead of `numpy.exp`), as these are then used to construct the expression tree directly. Generally, pybamm syntax follows numpy syntax; please get in touch if a function you need is missing. - The current must now be updated by changing "Current function [A]" or "C-rate" instead of "Typical current [A]" diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index a62a3509f2..3546fe054d 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -39,7 +39,7 @@ You now have everything you need to start making changes! 10. PyBaMM has online documentation at http://pybamm.readthedocs.io/. To make sure any new methods or classes you added show up there, please read the [documentation](#documentation) section. 11. If you added a major new feature, perhaps it should be showcased in an [example notebook](#example-notebooks). 12. When you feel your code is finished, or at least warrants serious discussion, run the [pre-commit checks](#pre-commit-checks) and then create a [pull request](https://help.github.com/articles/about-pull-requests/) (PR) on [PyBaMM's GitHub page](https://github.com/pybamm-team/PyBaMM). -13. Once a PR has been created, it will be reviewed by any member of the community. Changes might be suggested which you can make by simply adding new commits to the branch. When everything's finished, someone with the right GitHub permissions will merge your changes into PyBaMM master repository. +13. Once a PR has been created, it will be reviewed by any member of the community. Changes might be suggested which you can make by simply adding new commits to the branch. When everything's finished, someone with the right GitHub permissions will merge your changes into PyBaMM main repository. Finally, if you really, really, _really_ love developing PyBaMM, have a look at the current [project infrastructure](#infrastructure). diff --git a/README.md b/README.md index 40d401b2a2..b9130303a6 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ [![Build](https://github.com/pybamm-team/PyBaMM/workflows/PyBaMM/badge.svg)](https://github.com/pybamm-team/PyBaMM/actions?query=workflow%3APyBaMM+branch%3Adevelop) [![readthedocs](https://readthedocs.org/projects/pybamm/badge/?version=latest)](https://pybamm.readthedocs.io/en/latest/?badge=latest) -[![codecov](https://codecov.io/gh/pybamm-team/PyBaMM/branch/master/graph/badge.svg)](https://codecov.io/gh/pybamm-team/PyBaMM) +[![codecov](https://codecov.io/gh/pybamm-team/PyBaMM/branch/main/graph/badge.svg)](https://codecov.io/gh/pybamm-team/PyBaMM) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pybamm-team/PyBaMM/blob/develop/) [![black_code_style](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) diff --git a/docs/conf.py b/docs/conf.py index 0bacae7c03..8879c7cd8a 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -26,9 +26,9 @@ author = "The PyBaMM Team" # The short X.Y version -version = "0.3" +version = "0.4" # The full version, including alpha/beta/rc tags -release = "0.3.0-beta" +release = "0.4.0" # -- General configuration --------------------------------------------------- @@ -66,8 +66,8 @@ # source_suffix = ['.rst', '.md'] source_suffix = ".rst" -# The master toctree document. -master_doc = "index" +# The main toctree document. +main_doc = "index" # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. @@ -155,7 +155,7 @@ # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ - (master_doc, "PyBaMM.tex", "PyBaMM Documentation", "Valentin Sulzer", "manual") + (main_doc, "PyBaMM.tex", "PyBaMM Documentation", "Valentin Sulzer", "manual") ] @@ -163,7 +163,7 @@ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). -man_pages = [(master_doc, "pybamm", "PyBaMM Documentation", [author], 1)] +man_pages = [(main_doc, "pybamm", "PyBaMM Documentation", [author], 1)] # -- Options for Texinfo output ---------------------------------------------- @@ -173,7 +173,7 @@ # dir menu entry, description, category) texinfo_documents = [ ( - master_doc, + main_doc, "PyBaMM", "PyBaMM Documentation", author, diff --git a/docs/index.rst b/docs/index.rst index 21f8d55603..3684718f2a 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -85,7 +85,7 @@ Examples ======== Detailed examples can be viewed on the -`GitHub examples page `_, +`GitHub examples page `_, and run locally using ``jupyter notebook``, or online through `Google Colab `_. diff --git a/docs/source/models/index.rst b/docs/source/models/index.rst index ee19c32e1e..7f4f026c77 100644 --- a/docs/source/models/index.rst +++ b/docs/source/models/index.rst @@ -5,7 +5,7 @@ Below is an overview of all the battery models included in PyBaMM. Each of the pre-built models contains a reference to the paper in which it is derived. The models can be customised using the `options` dictionary defined in the :class:`pybamm.BaseBatteryModel` (which also provides information on which options and models are compatible) -Visit our `examples page `_ +Visit our `examples page `_ to see how these models can be solved, and compared, using PyBaMM. .. toctree:: diff --git a/docs/tutorials/add-model.rst b/docs/tutorials/add-model.rst index 666f320da7..f3fff74453 100644 --- a/docs/tutorials/add-model.rst +++ b/docs/tutorials/add-model.rst @@ -8,7 +8,7 @@ Adding a Model As with any contribution to PyBaMM, please follow the workflow in CONTRIBUTING.md_. In particular, start by creating an issue to discuss what you want to do - this is a good way to avoid wasted coding hours! -We aim here to provide an overview of how a new model is entered into PyBaMM in a form which can be eventually merged into the master branch of the PyBaMM project. However, we recommend that you first read through the notebook: `create a model `_, which goes step-by-step through the procedure for creating a model. Once you understand that procedure, you can then formalise your model following the outline provided here. +We aim here to provide an overview of how a new model is entered into PyBaMM in a form which can be eventually merged into the main branch of the PyBaMM project. However, we recommend that you first read through the notebook: `create a model `_, which goes step-by-step through the procedure for creating a model. Once you understand that procedure, you can then formalise your model following the outline provided here. The role of models ------------------ diff --git a/examples/notebooks/Getting Started/Tutorial 4 - Setting parameter values.ipynb b/examples/notebooks/Getting Started/Tutorial 4 - Setting parameter values.ipynb index 593a6f0e67..82d68e4928 100644 --- a/examples/notebooks/Getting Started/Tutorial 4 - Setting parameter values.ipynb +++ b/examples/notebooks/Getting Started/Tutorial 4 - Setting parameter values.ipynb @@ -96,7 +96,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "More details on each subset can be found [here](https://github.com/pybamm-team/PyBaMM/tree/master/pybamm/input/parameters).\n", + "More details on each subset can be found [here](https://github.com/pybamm-team/PyBaMM/tree/main/pybamm/input/parameters).\n", "\n", "Now we can pass `'chemistry'` into `ParameterValues` to create the dictionary of parameter values" ] diff --git a/examples/notebooks/lithium-plating.ipynb b/examples/notebooks/lithium-plating.ipynb index 4d09ad2151..f4c6bdbef7 100644 --- a/examples/notebooks/lithium-plating.ipynb +++ b/examples/notebooks/lithium-plating.ipynb @@ -51,22 +51,11 @@ "# pick parameters\n", "chemistry = pybamm.parameter_sets.Chen2020_plating\n", "parameter_values = pybamm.ParameterValues(chemistry=chemistry)\n", - "parameter_values.update({\"Reference temperature [K]\": 268.15})\n", + "#parameter_values.update({\"Reference temperature [K]\": 268.15})\n", "parameter_values.update({\"Ambient temperature [K]\": 268.15})\n", - "parameter_values.update({\"Initial temperature [K]\": 268.15})\n", + "#parameter_values.update({\"Initial temperature [K]\": 268.15})\n", "parameter_values.update({\"Upper voltage cut-off [V]\": 4.21})\n", - "\n", - "# change plating reaction rate\n", - "def j0_plating(c_e, c_Li, T):\n", - " k_plating = 1e-9\n", - " return pybamm.constants.F * k_plating * c_e\n", - "\n", - "def j0_stripping(c_e, c_Li, T):\n", - " k_plating = 1e-9\n", - " return pybamm.constants.F * k_plating * c_Li\n", - "\n", - "parameter_values.update({\"Exchange-current density for plating [A.m-2]\": j0_plating})\n", - "parameter_values.update({\"Exchange-current density for stripping [A.m-2]\": j0_stripping})" + "parameter_values.update({\"Lithium plating kinetic rate constant [m.s-1]\": 1E-9})" ] }, { @@ -84,7 +73,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -177,7 +166,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 5, @@ -262,7 +251,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -335,20 +324,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "sim2_2C = pybamm.Simulation(model2, experiment=experiment_2C, parameter_values=parameter_values)\n", "sim2_2C.solve()\n", @@ -364,7 +342,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -422,22 +400,9 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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Journal of The Electrochemical Society, 167(8):080534, 2020. doi:10.1149/1945-7111/ab9050.\n", - "[3] Marc Doyle, Thomas F. Fuller, and John Newman. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical society, 140(6):1526–1533, 1993. doi:10.1149/1.2221597.\n", - "[4] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n", - "[5] Simon E. J. O'Kane, Ian D. Campbell, Mohamed W. J. Marzook, Gregory J. Offer, and Monica Marinescu. Physical origin of the differential voltage minimum associated with lithium plating in li-ion batteries. Journal of The Electrochemical Society, 167(9):090540, may 2020. URL: https://doi.org/10.1149/1945-7111/ab90ac, doi:10.1149/1945-7111/ab90ac.\n", - "[6] Dongsheng Ren, Kandler Smith, Dongxu Guo, Xuebing Han, Xuning Feng, Languang Lu, and Minggao Ouyang. Investigation of lithium plating-stripping process in li-ion batteries at low temperature using an electrochemical model. Journal of the Electrochemistry Society, 165:A2167-A2178, 2018. doi:10.1149/2.0661810jes.\n", - "[7] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). ECSarXiv. February, 2020. doi:10.1149/osf.io/67ckj.\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "pybamm.print_citations()" ] @@ -539,7 +489,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.8.5" } }, "nbformat": 4, diff --git a/examples/scripts/cycling_ageing_yang.py b/examples/scripts/cycling_ageing_yang.py index 0d3c667f63..5530bd16af 100644 --- a/examples/scripts/cycling_ageing_yang.py +++ b/examples/scripts/cycling_ageing_yang.py @@ -1,16 +1,15 @@ import pybamm as pb -pb.set_logging_level("INFO") -options = {"SEI": "ec reaction limited", "SEI porosity change": "true"} -param = pb.ParameterValues(chemistry=pb.parameter_sets.Ramadass2004) -model = pb.lithium_ion.DFN(options) +pb.set_logging_level("NOTICE") +model = pb.lithium_ion.Yang2017() + experiment = pb.Experiment( [ ( "Charge at 1 C until 4.2 V", "Hold at 4.2 V until C/10", "Rest for 5 minutes", - "Discharge at 2 C until 2.8 V", + "Discharge at 1 C until 2.8 V", "Rest for 5 minutes", ) ] @@ -28,22 +27,22 @@ "Rest for 30 minutes", "Discharge at 1 C until 2.8 V", ), - ( - "Charge at 1 C until 4.2 V", - "Hold at 4.2 V until C/20", - "Rest for 30 minutes", - "Discharge at 2 C until 2.8 V", - ), - ( - "Charge at 1 C until 4.2 V", - "Hold at 4.2 V until C/20", - "Rest for 30 minutes", - "Discharge at 3 C until 2.8 V", - ), + # ( + # "Charge at 1 C until 4.2 V", + # "Hold at 4.2 V until C/20", + # "Rest for 30 minutes", + # "Discharge at 2 C until 2.8 V", + # ), + # ( + # "Charge at 1 C until 4.2 V", + # "Hold at 4.2 V until C/20", + # "Rest for 30 minutes", + # "Discharge at 3 C until 2.8 V", + # ), ] ) -sim = pb.Simulation(model, experiment=experiment, parameter_values=param) -sim.solve(solver=pb.CasadiSolver(mode="safe", dt_max=120)) +sim = pb.Simulation(model, experiment=experiment) +sim.solve(solver=pb.CasadiSolver(mode="safe")) sim.plot( [ "Current [A]", diff --git a/examples/scripts/print_parameters.py b/examples/scripts/print_parameters.py new file mode 100644 index 0000000000..12fad22e06 --- /dev/null +++ b/examples/scripts/print_parameters.py @@ -0,0 +1,9 @@ +# +# Example for printing the (dimensional and dimensionless) parameters of a parameter set +# +import pybamm + +parameters = pybamm.LithiumIonParameters() +parameter_values = pybamm.ParameterValues(chemistry=pybamm.parameter_sets.Yang2017) +output_file = "lithium_ion_parameters.txt" +parameter_values.print_parameters(parameters, output_file) diff --git a/pybamm/input/parameters/lead-acid/separators/agm_Sulzer2019/parameters.csv b/pybamm/input/parameters/lead-acid/separators/agm_Sulzer2019/parameters.csv index 2b7f78e357..35f4884e81 100644 --- a/pybamm/input/parameters/lead-acid/separators/agm_Sulzer2019/parameters.csv +++ b/pybamm/input/parameters/lead-acid/separators/agm_Sulzer2019/parameters.csv @@ -3,7 +3,6 @@ Name [units],Value,Reference,Notes ,,, Maximum porosity of separator,0.92,, Separator Bruggeman coefficient (electrolyte),1.5,, -Separator Bruggeman coefficient (electrode),1.5,, Separator density [kg.m-3],1680, Bulk density from Gigova 2006, Separator specific heat capacity [J.kg-1.K-1],700, Electronics Cooling (fiberglass), Separator thermal conductivity [W.m-1.K-1],0.04, University Physics Sears et al. 1999 (fiberglass), \ No newline at end of file diff --git a/pybamm/input/parameters/lithium-ion/cells/Yang2017/parameters.csv b/pybamm/input/parameters/lithium-ion/cells/Yang2017/parameters.csv index 88d23e4db7..e67c5378f6 100644 --- a/pybamm/input/parameters/lithium-ion/cells/Yang2017/parameters.csv +++ b/pybamm/input/parameters/lithium-ion/cells/Yang2017/parameters.csv @@ -29,6 +29,6 @@ Negative current collector thermal conductivity [W.m-1.K-1],401,,,, Positive current collector thermal conductivity [W.m-1.K-1],237,,,, ,,,,, # Electrical,,,,, -Nominal cell capacity [A.h],12.4,Yang2017,,, -Typical current [A],12.4,,1C current,, -Current function [A],12.4,default current function,,, +Nominal cell capacity [A.h],2.4,Yang2017,,, +Typical current [A],2.4,,1C current,, +Current function [A],2.4,default current function,,, diff --git a/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/parameters.csv b/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/parameters.csv index 9af2c03d07..0e5888214a 100644 --- a/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/parameters.csv +++ b/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/parameters.csv @@ -3,6 +3,7 @@ Name [units],Value,Reference,Notes ,,, # Lithium plating parameters,,, Lithium metal partial molar volume [m3.mol-1],1.30E-05,Yang2017, +Lithium plating kinetic rate constant [m.s-1],1E-10,, Exchange-current density for plating [A.m-2],[function]plating_exchange_current_density_OKane2020,, Exchange-current density for stripping [A.m-2],[function]stripping_exchange_current_density_OKane2020,, Initial plated lithium concentration [mol.m-3],0.00E+00,, diff --git a/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/plating_exchange_current_density_OKane2020.py b/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/plating_exchange_current_density_OKane2020.py index 0658664705..06db70d846 100644 --- a/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/plating_exchange_current_density_OKane2020.py +++ b/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/plating_exchange_current_density_OKane2020.py @@ -1,4 +1,4 @@ -from pybamm import constants +from pybamm import constants, Parameter def plating_exchange_current_density_OKane2020(c_e, c_Li, T): @@ -24,6 +24,6 @@ def plating_exchange_current_density_OKane2020(c_e, c_Li, T): Exchange-current density [A.m-2] """ - k_plating = 1e-10 + k_plating = Parameter("Lithium plating kinetic rate constant [m.s-1]") return constants.F * k_plating * c_e diff --git a/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/stripping_exchange_current_density_OKane2020.py b/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/stripping_exchange_current_density_OKane2020.py index cad0f0ad5a..7ea44e9c01 100644 --- a/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/stripping_exchange_current_density_OKane2020.py +++ b/pybamm/input/parameters/lithium-ion/lithium_platings/okane2020_Li_plating/stripping_exchange_current_density_OKane2020.py @@ -1,4 +1,4 @@ -from pybamm import constants +from pybamm import constants, Parameter def stripping_exchange_current_density_OKane2020(c_e, c_Li, T): @@ -30,6 +30,6 @@ def stripping_exchange_current_density_OKane2020(c_e, c_Li, T): Exchange-current density [A.m-2] """ - k_plating = 1e-10 + k_plating = Parameter("Lithium plating kinetic rate constant [m.s-1]") return constants.F * k_plating * c_Li diff --git a/pybamm/input/parameters/lithium-ion/lithium_platings/yang2017_Li_plating/parameters.csv b/pybamm/input/parameters/lithium-ion/lithium_platings/yang2017_Li_plating/parameters.csv index 3fd808e948..e6b09b2266 100644 --- a/pybamm/input/parameters/lithium-ion/lithium_platings/yang2017_Li_plating/parameters.csv +++ b/pybamm/input/parameters/lithium-ion/lithium_platings/yang2017_Li_plating/parameters.csv @@ -2,6 +2,6 @@ Name [units],Value,Reference,Notes ,,, ,,, # Lithium plating parameters,,, -Lithium metal partial molar volume [m3.mol-1],1.30E-05,Yang2017, +Lithium metal partial molar volume [m3.mol-1],1.30E-05,Yang2017,6.94e-3/534 Exchange-current density for plating [A.m-2],0.001,, Initial plated lithium concentration [mol.m-3],0.00E+00,, diff --git a/pybamm/input/parameters/lithium-ion/seis/yang2017_sei/README.md b/pybamm/input/parameters/lithium-ion/seis/yang2017_sei/README.md index 3c63aa585e..8a82e0e5bc 100644 --- a/pybamm/input/parameters/lithium-ion/seis/yang2017_sei/README.md +++ b/pybamm/input/parameters/lithium-ion/seis/yang2017_sei/README.md @@ -1,11 +1,7 @@ # SEI parameters -Some example parameters for SEI growth from the papers: +Some example parameters for SEI growth from the paper: -> Ramadass, P., Haran, B., Gomadam, P. M., White, R., & Popov, B. N. (2004). Development of first principles capacity fade model for Li-ion cells. Journal of the Electrochemical Society, 151(2), A196-A203. -> Ploehn, H. J., Ramadass, P., & White, R. E. (2004). Solvent diffusion model for aging of lithium-ion battery cells. Journal of The Electrochemical Society, 151(3), A456-A462. -> Single, F., Latz, A., & Horstmann, B. (2018). Identifying the mechanism of continued growth of the solid–electrolyte interphase. ChemSusChem, 11(12), 1950-1955. -> Safari, M., Morcrette, M., Teyssot, A., & Delacour, C. (2009). Multimodal Physics-Based Aging Model for Life Prediction of Li-Ion Batteries. Journal of The Electrochemical Society, 156(3), > Yang, X., Leng, Y., Zhang, G., Ge, S., Wang, C. (2017). Modeling of lithium plating induced aging of lithium-ion batteries: Transition from linear to nonlinear aging. Journal of Power Sources, 360, 28-40. -Note: this parameter set does not claim to be representative of the true parameter values. Instead these are parameter values that were used to fit SEI models to observed experimental data in the referenced papers. +and references therein diff --git a/pybamm/input/parameters/lithium-ion/seis/yang2017_sei/parameters.csv b/pybamm/input/parameters/lithium-ion/seis/yang2017_sei/parameters.csv index bfc0d7ad59..1cecd23ea2 100644 --- a/pybamm/input/parameters/lithium-ion/seis/yang2017_sei/parameters.csv +++ b/pybamm/input/parameters/lithium-ion/seis/yang2017_sei/parameters.csv @@ -2,22 +2,12 @@ Name [units],Value,Reference,Notes # Empty rows and rows starting with ‘#’ will be ignored,,, ,,, # SEI properties,,, -Inner SEI reaction proportion,0.5,, -Inner SEI partial molar volume [m3.mol-1],9.47E-05, Safari paper, -Outer SEI partial molar volume [m3.mol-1],9.47E-05, Safari paper, -SEI reaction exchange current density [A.m-2],1.50E-07, Guess, -SEI resistivity [Ohm.m],5.00E+06, Safari paper, -Outer SEI solvent diffusivity [m2.s-1],2.50E-22, Single paper, -Bulk solvent concentration [mol.m-3],2.64E+03, Ploehn paper, -Ratio of inner and outer SEI exchange current densities,1, Assume same, -Inner SEI open-circuit potential [V],0.1,, -Outer SEI open-circuit potential [V],0.8,, -Inner SEI electron conductivity [S.m-1],8.95E-14, Single paper, -Inner SEI lithium interstitial diffusivity [m2.s-1],1.00E-20, Guess, -Lithium interstitial reference concentration [mol.m-3],15, Single paper, -Initial inner SEI thickness [m],2.50E-09, 2.5E-9 1/2 of initial thickness in Safari paper, -Initial outer SEI thickness [m],2.50E-09, 1/2 of initial thickness in Safari paper, -EC initial concentration in electrolyte [mol.m-3],4.54E+03, Safari paper, +Inner SEI partial molar volume [m3.mol-1],9.586E-05, Safari paper, 0.162/1690 +Outer SEI partial molar volume [m3.mol-1],9.586E-05, Safari paper, 0.162/1690 +SEI resistivity [Ohm.m],2.00E+06, Safari paper (1/5e-6), +Initial inner SEI thickness [m],0,, +Initial outer SEI thickness [m],5E-09,, +EC initial concentration in electrolyte [mol.m-3],4.541E+03, Safari paper, EC diffusivity [m2.s-1],2.00E-18, adjusted parameter in Yang paper, SEI kinetic rate constant [m.s-1],1.00E-12, adjusted parameter in Yang paper, SEI open-circuit potential [V],0.4, Safari paper, diff --git a/pybamm/input/parameters/lithium-ion/separators/separator_Ai2020/parameters.csv b/pybamm/input/parameters/lithium-ion/separators/separator_Ai2020/parameters.csv index a3f3f787fd..6f85f8ebe5 100644 --- a/pybamm/input/parameters/lithium-ion/separators/separator_Ai2020/parameters.csv +++ b/pybamm/input/parameters/lithium-ion/separators/separator_Ai2020/parameters.csv @@ -3,7 +3,6 @@ Name [units],Value,Reference,Notes ,,, Separator porosity,0.5,Ai 2020, Separator Bruggeman coefficient (electrolyte),1.5,Ai 2020,theoretical -Separator Bruggeman coefficient (electrode),0,default, Separator density [kg.m-3],2470,default,cell parameter Separator specific heat capacity [J.kg-1.K-1],1080.2,default,cell parameter Separator thermal conductivity [W.m-1.K-1],0.334,default,cell parameter \ No newline at end of file diff --git a/pybamm/input/parameters/lithium-ion/separators/separator_Chen2020/parameters.csv b/pybamm/input/parameters/lithium-ion/separators/separator_Chen2020/parameters.csv index 9083e98875..b6a89ab472 100644 --- a/pybamm/input/parameters/lithium-ion/separators/separator_Chen2020/parameters.csv +++ b/pybamm/input/parameters/lithium-ion/separators/separator_Chen2020/parameters.csv @@ -3,7 +3,6 @@ Name [units],Value,Reference,Notes ,,, Separator porosity,0.47,Chen 2020, Separator Bruggeman coefficient (electrolyte),1.5,Chen 2020,theoretical -Separator Bruggeman coefficient (electrode),1.5,default, Separator density [kg.m-3],397,default, Separator specific heat capacity [J.kg-1.K-1],700,default, Separator thermal conductivity [W.m-1.K-1],0.16,default, \ No newline at end of file diff --git a/pybamm/input/parameters/lithium-ion/separators/separator_Ecker2015/parameters.csv b/pybamm/input/parameters/lithium-ion/separators/separator_Ecker2015/parameters.csv index d51a852b4d..c81243d796 100644 --- a/pybamm/input/parameters/lithium-ion/separators/separator_Ecker2015/parameters.csv +++ b/pybamm/input/parameters/lithium-ion/separators/separator_Ecker2015/parameters.csv @@ -3,7 +3,6 @@ Name [units],Value,Reference,Notes ,,, Separator porosity,0.508,, Separator Bruggeman coefficient (electrolyte),1.9804586773134942, Solve for permeability factor B=0.304=eps^b, -Separator Bruggeman coefficient (electrode),0,No Bruggeman correction to solid conductivity, Separator density [kg.m-3],397,default, Separator specific heat capacity [J.kg-1.K-1],700,default, Separator thermal conductivity [W.m-1.K-1],0.16,default, \ No newline at end of file diff --git a/pybamm/input/parameters/lithium-ion/separators/separator_Kim2011/parameters.csv b/pybamm/input/parameters/lithium-ion/separators/separator_Kim2011/parameters.csv index 9c8b2ee81d..63048d1881 100644 --- a/pybamm/input/parameters/lithium-ion/separators/separator_Kim2011/parameters.csv +++ b/pybamm/input/parameters/lithium-ion/separators/separator_Kim2011/parameters.csv @@ -3,7 +3,6 @@ Name [units],Value,Reference,Notes ,,, Separator porosity,0.4,, Separator Bruggeman coefficient (electrolyte),2,, -Separator Bruggeman coefficient (electrode),2,, Separator density [kg.m-3],511.86798,397 * 1.28934, Separator specific heat capacity [J.kg-1.K-1],700,, Separator thermal conductivity [W.m-1.K-1],0.10672, 0.16 * 0.667, diff --git a/pybamm/input/parameters/lithium-ion/separators/separator_Marquis2019/parameters.csv b/pybamm/input/parameters/lithium-ion/separators/separator_Marquis2019/parameters.csv index ca77c0c0c4..28764ce8ed 100644 --- a/pybamm/input/parameters/lithium-ion/separators/separator_Marquis2019/parameters.csv +++ b/pybamm/input/parameters/lithium-ion/separators/separator_Marquis2019/parameters.csv @@ -3,7 +3,6 @@ Name [units],Value,Reference,Notes ,,, Separator porosity,1,, Separator Bruggeman coefficient (electrolyte),1.5,, -Separator Bruggeman coefficient (electrode),1.5,, Separator density [kg.m-3],397,, Separator specific heat capacity [J.kg-1.K-1],700,, Separator thermal conductivity [W.m-1.K-1],0.16,, diff --git a/pybamm/input/parameters/lithium-ion/separators/separator_Mohtat2020/parameters.csv b/pybamm/input/parameters/lithium-ion/separators/separator_Mohtat2020/parameters.csv index 814388a224..3d39d2ec76 100644 --- a/pybamm/input/parameters/lithium-ion/separators/separator_Mohtat2020/parameters.csv +++ b/pybamm/input/parameters/lithium-ion/separators/separator_Mohtat2020/parameters.csv @@ -2,7 +2,6 @@ Name [units],Value,Reference,Notes # Empty rows and rows starting with ‘#’ will be ignored,,, ,,, Separator porosity,0.4,Peyman MPM, -Separator Bruggeman coefficient (electrode),1.5,Peyman MPM, Separator Bruggeman coefficient (electrolyte),1.5,Peyman MPM, Separator density [kg.m-3],397,,no info from Peyman MPM Separator specific heat capacity [J.kg-1.K-1],700,,no info from Peyman MPM diff --git a/pybamm/input/parameters/lithium-ion/separators/separator_Yang2017/README.md b/pybamm/input/parameters/lithium-ion/separators/separator_Yang2017/README.md new file mode 100644 index 0000000000..3af17950a9 --- /dev/null +++ b/pybamm/input/parameters/lithium-ion/separators/separator_Yang2017/README.md @@ -0,0 +1,9 @@ +# Separator parameters + +Parameters for the separator from the papers + +> Ecker, Madeleine, et al. "Parameterization of a physico-chemical model of a lithium-ion battery i. determination of parameters." Journal of the Electrochemical Society 162.9 (2015): A1836-A1848. + +> Ecker, Madeleine, et al. "Parameterization of a physico-chemical model of a lithium-ion battery II. Model validation." Journal of The Electrochemical Society 162.9 (2015): A1849-A1857. + +> Yang, X., Leng, Y., Zhang, G., Ge, S., Wang, C. (2017). Modeling of lithium plating induced aging of lithium-ion batteries: Transition from linear to nonlinear aging. Journal of Power Sources, 360, 28-40. \ No newline at end of file diff --git a/pybamm/input/parameters/lithium-ion/separators/separator_Yang2017/parameters.csv b/pybamm/input/parameters/lithium-ion/separators/separator_Yang2017/parameters.csv new file mode 100644 index 0000000000..43b756f96c --- /dev/null +++ b/pybamm/input/parameters/lithium-ion/separators/separator_Yang2017/parameters.csv @@ -0,0 +1,8 @@ +Name [units],Value,Reference,Notes +# Empty rows and rows starting with ‘#’ will be ignored,,, +,,, +Separator porosity,0.4,, +Separator Bruggeman coefficient (electrolyte),1.5,, +Separator density [kg.m-3],397,default, +Separator specific heat capacity [J.kg-1.K-1],700,default, +Separator thermal conductivity [W.m-1.K-1],0.16,default, \ No newline at end of file diff --git a/pybamm/models/submodels/interface/base_interface.py b/pybamm/models/submodels/interface/base_interface.py index fd9cbef588..0361edfb88 100644 --- a/pybamm/models/submodels/interface/base_interface.py +++ b/pybamm/models/submodels/interface/base_interface.py @@ -485,25 +485,15 @@ def _get_standard_overpotential_variables(self, eta_r): elif eta_r.domain == ["current collector"]: eta_r = pybamm.PrimaryBroadcast(eta_r, self.domain_for_broadcast) + domain_reaction = ( + self.domain + " electrode" + self.reaction_name + " reaction overpotential" + ) + variables = { - self.domain - + " electrode" - + self.reaction_name - + " reaction overpotential": eta_r, - "X-averaged " - + self.domain.lower() - + " electrode" - + self.reaction_name - + " reaction overpotential": eta_r_av, - self.domain - + " electrode" - + self.reaction_name - + " reaction overpotential [V]": eta_r * pot_scale, - "X-averaged " - + self.domain.lower() - + " electrode" - + self.reaction_name - + " reaction overpotential [V]": eta_r_av * pot_scale, + domain_reaction: eta_r, + "X-averaged " + domain_reaction.lower(): eta_r_av, + domain_reaction + " [V]": eta_r * pot_scale, + "X-averaged " + domain_reaction.lower() + " [V]": eta_r_av * pot_scale, } return variables @@ -520,11 +510,13 @@ def _get_standard_sei_film_overpotential_variables(self, eta_sei): elif eta_sei.domain == ["current collector"]: eta_sei = pybamm.PrimaryBroadcast(eta_sei, self.domain_for_broadcast) - domain = self.domain.lower() + " electrode" + Domain = self.domain + " electrode" + domain = Domain.lower() + variables = { - self.domain + " electrode SEI film overpotential": eta_sei, + Domain + " SEI film overpotential": eta_sei, "X-averaged " + domain + " SEI film overpotential": eta_sei_av, - self.domain + " electrode SEI film overpotential [V]": eta_sei * pot_scale, + Domain + " SEI film overpotential [V]": eta_sei * pot_scale, "X-averaged " + domain + " SEI film overpotential [V]": eta_sei_av * pot_scale, diff --git a/pybamm/models/submodels/interface/lithium_plating/irreversible_plating.py b/pybamm/models/submodels/interface/lithium_plating/irreversible_plating.py index 16805f0f89..6c711c9868 100644 --- a/pybamm/models/submodels/interface/lithium_plating/irreversible_plating.py +++ b/pybamm/models/submodels/interface/lithium_plating/irreversible_plating.py @@ -39,24 +39,19 @@ def get_fundamental_variables(self): def get_coupled_variables(self, variables): param = self.param - phi_s_n = variables[f"{self.domain} electrode potential"] - phi_e_n = variables[f"{self.domain} electrolyte potential"] + delta_phi = variables[f"{self.domain} electrode surface potential difference"] c_e_n = variables[f"{self.domain} electrolyte concentration"] T = variables[f"{self.domain} electrode temperature"] + eta_sei = variables[f"{self.domain} electrode SEI film overpotential"] c_plated_Li = variables[ f"{self.domain} electrode lithium plating concentration" ] j0_plating = param.j0_plating(c_e_n, c_plated_Li, T) - - eta_sei = variables[f"{self.domain} electrode SEI film overpotential"] - phi_ref = param.U_n_ref / param.potential_scale - - # need to revise for thermal case + eta_plating = -(delta_phi + phi_ref + eta_sei) + prefactor = 1 / (2 * (1 + self.param.Theta * T)) # j_stripping is always negative, because there is no stripping, only plating - j_stripping = -j0_plating * ( - pybamm.exp(-0.5 * (phi_s_n - phi_e_n + phi_ref + eta_sei)) - ) + j_stripping = -j0_plating * pybamm.exp(prefactor * eta_plating) variables.update(self._get_standard_reaction_variables(j_stripping)) diff --git a/pybamm/models/submodels/interface/lithium_plating/reversible_plating.py b/pybamm/models/submodels/interface/lithium_plating/reversible_plating.py index ad0b005c58..254443d257 100644 --- a/pybamm/models/submodels/interface/lithium_plating/reversible_plating.py +++ b/pybamm/models/submodels/interface/lithium_plating/reversible_plating.py @@ -39,8 +39,7 @@ def get_fundamental_variables(self): def get_coupled_variables(self, variables): param = self.param - phi_s_n = variables[f"{self.domain} electrode potential"] - phi_e_n = variables[f"{self.domain} electrolyte potential"] + delta_phi = variables[f"{self.domain} electrode surface potential difference"] c_e_n = variables[f"{self.domain} electrolyte concentration"] T = variables[f"{self.domain} electrode temperature"] eta_sei = variables[f"{self.domain} electrode SEI film overpotential"] @@ -50,11 +49,12 @@ def get_coupled_variables(self, variables): j0_stripping = param.j0_stripping(c_e_n, c_plated_Li, T) j0_plating = param.j0_plating(c_e_n, c_plated_Li, T) phi_ref = param.U_n_ref / param.potential_scale - - # need to revise for thermal case + eta_stripping = delta_phi + phi_ref + eta_sei + eta_plating = -eta_stripping + prefactor = 1 / (2 * (1 + self.param.Theta * T)) j_stripping = j0_stripping * pybamm.exp( - 0.5 * (phi_s_n - phi_e_n + phi_ref + eta_sei) - ) - j0_plating * pybamm.exp(-0.5 * (phi_s_n - phi_e_n + phi_ref + eta_sei)) + prefactor * eta_stripping + ) - j0_plating * pybamm.exp(prefactor * eta_plating) variables.update(self._get_standard_reaction_variables(j_stripping)) diff --git a/pybamm/models/submodels/tortuosity/bruggeman_tortuosity.py b/pybamm/models/submodels/tortuosity/bruggeman_tortuosity.py index d600380ba0..ba7308b7bb 100644 --- a/pybamm/models/submodels/tortuosity/bruggeman_tortuosity.py +++ b/pybamm/models/submodels/tortuosity/bruggeman_tortuosity.py @@ -26,10 +26,10 @@ def get_coupled_variables(self, variables): ) elif self.phase == "Electrode": eps_n = variables["Negative electrode active material volume fraction"] - eps_s = pybamm.FullBroadcast(0, "separator", "current collector") + tor_s = pybamm.FullBroadcast(0, "separator", "current collector") eps_p = variables["Positive electrode active material volume fraction"] tor = pybamm.Concatenation( - eps_n ** param.b_s_n, eps_s ** param.b_s_s, eps_p ** param.b_s_p + eps_n ** param.b_s_n, tor_s, eps_p ** param.b_s_p ) variables.update( diff --git a/pybamm/parameters/geometric_parameters.py b/pybamm/parameters/geometric_parameters.py index 1c64052e48..e31e44fa6c 100644 --- a/pybamm/parameters/geometric_parameters.py +++ b/pybamm/parameters/geometric_parameters.py @@ -70,7 +70,6 @@ def _set_dimensional_parameters(self): self.b_s_n = pybamm.Parameter( "Negative electrode Bruggeman coefficient (electrode)" ) - self.b_s_s = pybamm.Parameter("Separator Bruggeman coefficient (electrode)") self.b_s_p = pybamm.Parameter( "Positive electrode Bruggeman coefficient (electrode)" ) diff --git a/pybamm/parameters/lead_acid_parameters.py b/pybamm/parameters/lead_acid_parameters.py index b036d8e95e..a4fce565c5 100644 --- a/pybamm/parameters/lead_acid_parameters.py +++ b/pybamm/parameters/lead_acid_parameters.py @@ -92,7 +92,6 @@ def _set_dimensional_parameters(self): self.b_e_s = self.geo.b_e_s self.b_e_p = self.geo.b_e_p self.b_s_n = self.geo.b_s_n - self.b_s_s = self.geo.b_s_s self.b_s_p = self.geo.b_s_p self.xi_n = pybamm.Parameter("Negative electrode morphological parameter") self.xi_p = pybamm.Parameter("Positive electrode morphological parameter") diff --git a/pybamm/parameters/lithium_ion_parameters.py b/pybamm/parameters/lithium_ion_parameters.py index 29ed1d287f..9aa795104f 100644 --- a/pybamm/parameters/lithium_ion_parameters.py +++ b/pybamm/parameters/lithium_ion_parameters.py @@ -146,7 +146,6 @@ def _set_dimensional_parameters(self): self.b_e_s = self.geo.b_e_s self.b_e_p = self.geo.b_e_p self.b_s_n = self.geo.b_s_n - self.b_s_s = self.geo.b_s_s self.b_s_p = self.geo.b_s_p # Electrochemical reactions @@ -209,7 +208,6 @@ def _set_dimensional_parameters(self): self.U_sei_dim = pybamm.Parameter("SEI open-circuit potential [V]") # Li plating parameters - self.V_bar_plated_Li = pybamm.Parameter( "Lithium metal partial molar volume [m3.mol-1]" ) @@ -721,6 +719,12 @@ def _set_dimensionless_parameters(self): ) self.v_bar = self.V_bar_outer_dimensional / self.V_bar_inner_dimensional + self.c_sei_scale = ( + self.L_sei_0_dim * self.a_n_typ / self.V_bar_inner_dimensional + ) + self.c_sei_outer_scale = ( + self.L_sei_0_dim * self.a_n_typ / self.V_bar_outer_dimensional + ) self.L_inner_0 = self.L_inner_0_dim / self.L_sei_0_dim self.L_outer_0 = self.L_outer_0_dim / self.L_sei_0_dim @@ -755,6 +759,7 @@ def _set_dimensionless_parameters(self): ) ) self.beta_sei_n = self.a_n_typ * self.L_sei_0_dim * self.Gamma_SEI_n + self.c_sei_init = self.c_ec_0_dim / self.c_sei_outer_scale # lithium plating parameters self.c_Li_typ = self.c_e_typ diff --git a/pybamm/parameters/parameter_sets.py b/pybamm/parameters/parameter_sets.py index f930e949e2..6caffbc48e 100644 --- a/pybamm/parameters/parameter_sets.py +++ b/pybamm/parameters/parameter_sets.py @@ -119,7 +119,7 @@ "chemistry": "lithium-ion", "cell": "Yang2017", "negative electrode": "graphite_Yang2017", - "separator": "separator_Ecker2015", + "separator": "separator_Yang2017", "positive electrode": "nmc_Yang2017", "electrolyte": "lipf6_Ecker2015", "experiment": "1C_discharge_from_full_Ecker2015", diff --git a/pybamm/parameters/parameter_values.py b/pybamm/parameters/parameter_values.py index 56cc7c86fc..0d644bfaf0 100644 --- a/pybamm/parameters/parameter_values.py +++ b/pybamm/parameters/parameter_values.py @@ -847,6 +847,7 @@ def print_parameters(self, parameters, output_file=None): "print_function", "unicode_literals", "pybamm", + "_options", "constants", "np", "geo", @@ -870,17 +871,29 @@ def print_parameters(self, parameters, output_file=None): {"Current function [A]": Crate * capacity}, check_already_exists=False, ) + + # Turn to regular dictionary for faster KeyErrors + self._dict_items = dict(self._dict_items) + for name, symbol in parameters.items(): if not callable(symbol): - proc_symbol = self.process_symbol(symbol) + try: + proc_symbol = self.process_symbol(symbol) + except KeyError: + # skip parameters that don't have a value in that parameter set + proc_symbol = None if not ( callable(proc_symbol) + or proc_symbol is None or proc_symbol.has_symbol_of_classes( (pybamm.Concatenation, pybamm.Broadcast) ) ): evaluated_parameters[name].append(proc_symbol.evaluate(t=0)) + # Turn back to FuzzyDict + self._dict_items = pybamm.FuzzyDict(self._dict_items) + # Calculate C-dependence of the parameters based on the difference between the # value at 1C and the value at C / 10 for name, values in evaluated_parameters.items(): diff --git a/pybamm/solvers/processed_variable.py b/pybamm/solvers/processed_variable.py index 97a5a9f0f0..02dd2c1b17 100644 --- a/pybamm/solvers/processed_variable.py +++ b/pybamm/solvers/processed_variable.py @@ -7,26 +7,6 @@ import scipy.interpolate as interp -def make_interp2D_fun(input, interpolant): - """ - Calls and returns a 2D interpolant of the correct shape depending on the - shape of the input - """ - first_dim, second_dim, _ = input - if isinstance(first_dim, np.ndarray) and isinstance(second_dim, np.ndarray): - first_dim = first_dim[:, 0, 0] - second_dim = second_dim[:, 0] - return interpolant(second_dim, first_dim) - elif isinstance(first_dim, np.ndarray): - first_dim = first_dim[:, 0] - return interpolant(second_dim, first_dim)[:, 0] - elif isinstance(second_dim, np.ndarray): - second_dim = second_dim[:, 0] - return interpolant(second_dim, first_dim) - else: - return interpolant(second_dim, first_dim)[0] - - class ProcessedVariable(object): """ An object that can be evaluated at arbitrary (scalars or vectors) t and x, and @@ -133,11 +113,8 @@ def initialise_0D(self): # set up interpolation if len(self.t_pts) == 1: # Variable is just a scalar value, but we need to create a callable - # function to be consitent with other processed variables - def fun(t): - return entries - - self._interpolation_function = fun + # function to be consistent with other processed variables + self._interpolation_function = Interpolant0D(entries) else: self._interpolation_function = interp.interp1d( self.t_pts, @@ -216,21 +193,9 @@ def initialise_1D(self, fixed_t=False): # set up interpolation if len(self.t_pts) == 1: # function of space only - interpolant = interp.interp1d( - pts_for_interp, - entries_for_interp[:, 0], - kind="linear", - fill_value=np.nan, - bounds_error=False, + self._interpolation_function = Interpolant1D( + pts_for_interp, entries_for_interp ) - - def interp_fun(t, z): - if isinstance(z, np.ndarray): - return interpolant(z)[:, np.newaxis] - else: - return interpolant(z) - - self._interpolation_function = interp_fun else: # function of space and time. Note that the order of 't' and 'space' # is the reverse of what you'd expect @@ -377,19 +342,9 @@ def initialise_2D(self): if len(self.t_pts) == 1: # function of space only. Note the order of the points is the reverse # of what you'd expect - interpolant = interp.interp2d( - second_dim_pts_for_interp, - first_dim_pts_for_interp, - entries_for_interp[:, :, 0], - kind="linear", - fill_value=np.nan, - bounds_error=False, + self._interpolation_function = Interpolant2D( + first_dim_pts_for_interp, second_dim_pts_for_interp, entries_for_interp ) - - def interp_fun(input): - return make_interp2D_fun(input, interpolant) - - self._interpolation_function = interp_fun else: # function of space and time. self._interpolation_function = interp.RegularGridInterpolator( @@ -436,19 +391,9 @@ def initialise_2D_scikit_fem(self): if len(self.t_pts) == 1: # function of space only. Note the order of the points is the reverse # of what you'd expect - interpolant = interp.interp2d( - self.second_dim_pts, - self.first_dim_pts, - entries, - kind="linear", - fill_value=np.nan, - bounds_error=False, + self._interpolation_function = Interpolant2D( + self.first_dim_pts, self.second_dim_pts, entries ) - - def interp_fun(input): - return make_interp2D_fun(input, interpolant) - - self._interpolation_function = interp_fun else: # function of space and time. self._interpolation_function = interp.RegularGridInterpolator( @@ -535,6 +480,64 @@ def data(self): return self.entries +class Interpolant0D: + def __init__(self, entries): + self.entries = entries + + def __call__(self, t): + return self.entries + + +class Interpolant1D: + def __init__(self, pts_for_interp, entries_for_interp): + self.interpolant = interp.interp1d( + pts_for_interp, + entries_for_interp[:, 0], + kind="linear", + fill_value=np.nan, + bounds_error=False, + ) + + def __call__(self, t, z): + if isinstance(z, np.ndarray): + return self.interpolant(z)[:, np.newaxis] + else: + return self.interpolant(z) + + +class Interpolant2D: + def __init__( + self, first_dim_pts_for_interp, second_dim_pts_for_interp, entries_for_interp + ): + self.interpolant = interp.interp2d( + second_dim_pts_for_interp, + first_dim_pts_for_interp, + entries_for_interp[:, :, 0], + kind="linear", + fill_value=np.nan, + bounds_error=False, + ) + + def __call__(self, input): + """ + Calls and returns a 2D interpolant of the correct shape depending on the + shape of the input + """ + first_dim, second_dim, _ = input + if isinstance(first_dim, np.ndarray) and isinstance(second_dim, np.ndarray): + first_dim = first_dim[:, 0, 0] + second_dim = second_dim[:, 0] + return self.interpolant(second_dim, first_dim) + elif isinstance(first_dim, np.ndarray): + first_dim = first_dim[:, 0] + return self.interpolant(second_dim, first_dim)[:, 0] + elif isinstance(second_dim, np.ndarray): + second_dim = second_dim[:, 0] + return self.interpolant(second_dim, first_dim) + else: + return self.interpolant(second_dim, first_dim)[0] + + def eval_dimension_name(name, x, r, y, z): if name == "x": out = x diff --git a/pybamm/solvers/solution.py b/pybamm/solvers/solution.py index aeb2e26fe0..45c2a2e875 100644 --- a/pybamm/solvers/solution.py +++ b/pybamm/solvers/solution.py @@ -256,26 +256,24 @@ def update(self, variables): if key in model._variables_casadi: var_casadi = model._variables_casadi[key] else: - self._t_MX = casadi.MX.sym("t") - self._y_MX = casadi.MX.sym("y", ys.shape[0]) - self._symbolic_inputs_dict = { + t_MX = casadi.MX.sym("t") + y_MX = casadi.MX.sym("y", ys.shape[0]) + symbolic_inputs_dict = { key: casadi.MX.sym("input", value.shape[0]) for key, value in inputs.items() } - self._symbolic_inputs = casadi.vertcat( - *[p for p in self._symbolic_inputs_dict.values()] + symbolic_inputs = casadi.vertcat( + *[p for p in symbolic_inputs_dict.values()] ) # Convert variable to casadi # Make all inputs symbolic first for converting to casadi var_sym = var_pybamm.to_casadi( - self._t_MX, self._y_MX, inputs=self._symbolic_inputs_dict + t_MX, y_MX, inputs=symbolic_inputs_dict ) var_casadi = casadi.Function( - "variable", - [self._t_MX, self._y_MX, self._symbolic_inputs], - [var_sym], + "variable", [t_MX, y_MX, symbolic_inputs], [var_sym] ) model._variables_casadi[key] = var_casadi vars_casadi.append(var_casadi) @@ -329,10 +327,11 @@ def plot(self, output_variables=None, **kwargs): def clear_casadi_attributes(self): """Remove casadi objects for pickling, will be computed again automatically""" - self._t_MX = None - self._y_MX = None - self._symbolic_inputs = None - self._symbolic_inputs_dict = None + # t_MX = None + # y_MX = None + # symbolic_inputs = None + # symbolic_inputs_dict = None + pass def save(self, filename): """Save the whole solution using pickle""" diff --git a/pybamm/version b/pybamm/version index da0481e75b..be4bcf8234 100644 --- a/pybamm/version +++ b/pybamm/version @@ -1 +1 @@ -0, 3, 0 +0, 4, 0 diff --git a/setup.py b/setup.py index 7e13d05a71..24d1ab3ca7 100644 --- a/setup.py +++ b/setup.py @@ -158,10 +158,7 @@ def compile_KLU(): pybamm_data.append("./CITATIONS.txt") pybamm_data.append("./plotting/pybamm.mplstyle") -idaklu_ext = Extension( - "pybamm.solvers.idaklu", - ["pybamm/solvers/c_solvers/idaklu.cpp"] -) +idaklu_ext = Extension("pybamm.solvers.idaklu", ["pybamm/solvers/c_solvers/idaklu.cpp"]) ext_modules = [idaklu_ext] if compile_KLU() else [] jax_dependencies = [] @@ -178,7 +175,7 @@ def compile_KLU(): setup( name="pybamm", - version=load_version() + "-beta", + version=load_version(), description="Python Battery Mathematical Modelling.", long_description=readme, long_description_content_type="text/markdown", diff --git a/tests/unit/test_experiments/test_simulation_with_experiment.py b/tests/unit/test_experiments/test_simulation_with_experiment.py index d22948ddf7..78898798a8 100644 --- a/tests/unit/test_experiments/test_simulation_with_experiment.py +++ b/tests/unit/test_experiments/test_simulation_with_experiment.py @@ -4,6 +4,7 @@ import casadi import pybamm import numpy as np +import os import unittest @@ -108,6 +109,12 @@ def test_run_experiment(self): self.assertEqual(len(sol2.cycles), 2) self.assertEqual(len(sol.cycles), 1) + # save + sol2.save("test_experiment.sav") + sol3 = pybamm.load("test_experiment.sav") + self.assertEqual(len(sol3.cycles), 2) + os.remove("test_experiment.sav") + def test_run_experiment_old_setup_type(self): experiment = pybamm.Experiment( [ diff --git a/tests/unit/test_models/test_submodels/test_interface/test_lithium_plating/test_irreversible_plating.py b/tests/unit/test_models/test_submodels/test_interface/test_lithium_plating/test_irreversible_plating.py index 4f36b7ba75..82aae678be 100644 --- a/tests/unit/test_models/test_submodels/test_interface/test_lithium_plating/test_irreversible_plating.py +++ b/tests/unit/test_models/test_submodels/test_interface/test_lithium_plating/test_irreversible_plating.py @@ -15,11 +15,11 @@ def test_public_functions(self): pybamm.Scalar(0), ["negative electrode"], "current collector" ) variables = { - "Negative electrode potential": a_n, - "Negative electrolyte potential": a_n, + "Negative electrode surface potential difference": a_n, "Negative electrolyte concentration": a_n, "Negative electrode temperature": a_n, "Negative electrode SEI film overpotential": a_n, + "Negative electrode lithium plating concentration": a_n } submodel = pybamm.lithium_plating.IrreversiblePlating(param, "Negative") std_tests = tests.StandardSubModelTests(submodel, variables) diff --git a/tests/unit/test_models/test_submodels/test_interface/test_lithium_plating/test_reversible_plating.py b/tests/unit/test_models/test_submodels/test_interface/test_lithium_plating/test_reversible_plating.py index f4fa681984..045f556dcf 100644 --- a/tests/unit/test_models/test_submodels/test_interface/test_lithium_plating/test_reversible_plating.py +++ b/tests/unit/test_models/test_submodels/test_interface/test_lithium_plating/test_reversible_plating.py @@ -22,9 +22,8 @@ def test_public_functions(self): pybamm.Scalar(0), ["negative electrode"], "current collector" ) variables = { - "Negative electrode potential": a_n, + "Negative electrode surface potential difference": a_n, "Negative electrode temperature": a_n, - "Negative electrolyte potential": a_n, "Negative electrolyte concentration": a_n, "Negative electrode lithium plating concentration": a_n, "Negative electrode SEI film overpotential": a_n, diff --git a/tests/unit/test_parameters/test_lead_acid_parameters.py b/tests/unit/test_parameters/test_lead_acid_parameters.py index 9b7275dbfa..ad96320a5b 100644 --- a/tests/unit/test_parameters/test_lead_acid_parameters.py +++ b/tests/unit/test_parameters/test_lead_acid_parameters.py @@ -13,7 +13,7 @@ def test_scipy_constants(self): self.assertAlmostEqual(param.R.evaluate(), 8.314, places=3) self.assertAlmostEqual(param.F.evaluate(), 96485, places=0) - def test_all_defined(self): + def test_print_parameters(self): parameters = pybamm.LeadAcidParameters() parameter_values = pybamm.lead_acid.BaseModel().default_parameter_values output_file = "lead_acid_parameters.txt" diff --git a/tests/unit/test_parameters/test_lithium_ion_parameters.py b/tests/unit/test_parameters/test_lithium_ion_parameters.py index 6d9eab1996..cd3de53a8c 100644 --- a/tests/unit/test_parameters/test_lithium_ion_parameters.py +++ b/tests/unit/test_parameters/test_lithium_ion_parameters.py @@ -14,6 +14,16 @@ def test_options(self): with self.assertRaisesRegex(pybamm.OptionError, "particle cracking"): pybamm.LithiumIonParameters({"particle cracking": "bad crack"}) + def test_print_parameters(self): + parameters = pybamm.LithiumIonParameters() + parameter_values = pybamm.lithium_ion.BaseModel().default_parameter_values + output_file = "lithium_ion_parameters.txt" + parameter_values.print_parameters(parameters, output_file) + # test print_parameters with dict and without C-rate + del parameter_values["Nominal cell capacity [A.h]"] + parameters = {"C_e": parameters.C_e, "sigma_n": parameters.sigma_n} + parameter_values.print_parameters(parameters) + def test_lithium_ion(self): """This test checks that all the dimensionless parameters are being calculated correctly for the specific set of parameters for LCO from dualfoil. The values