pybamm-team / PyBaMM

Fast and flexible physics-based battery models in Python
https://www.pybamm.org/
BSD 3-Clause "New" or "Revised" License
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v0.2.0 release #820

Closed valentinsulzer closed 4 years ago

valentinsulzer commented 4 years ago

Final things to do for release:

anything else? @tlestang is all the pip stuff automatic?

valentinsulzer commented 4 years ago

Update intro paragraph in README to:

PyBaMM (Python Battery Mathematical Modelling) solves physics-based electrochemical DAE models by using state-of-the-art automatic differentiation and numerical solvers. The Doyle-Fuller-Newman model can be solved in under 0.1 seconds, while the reduced-order Single Particle Model and Single Particle Model with electrolyte can be solved in just a few milliseconds. Additional physics can easily be included such as thermal effects, fast particle diffusion, 3D effects, and more. All models are implemented in a flexible manner, and a wide range of models and parameter sets (NCA, NMC, LiCoO2, ...) are available. There is also functionality to simulate any set of experimental instructions, such as CCCV or GITT.