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@pybop-team

PyBOP Team

PyBOP (Python Battery Optimisation and Parameterisation) is a modular, open-source package for the parameterisation and optimisation of battery models, with a particular focus on classes built around PyBaMM models and structures. A few of the aims for PyBOP are:

  • Parameter estimation of battery models (electrochemical or equivalent circuit) -- to be used for e.g. pack design purposes, BMS design, and aging data analysis.
  • Design optimisation studies, e.g., layer thickness, number of layers, tab placement.
  • A tertiary requirement for PyBOP might be model synthesis, i.e., generating (low order) models automatically from data or higher order, more complex models.

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  1. PyBOP PyBOP Public

    A parameterisation and optimisation package for battery models.

    Python 39 6

  2. pybop-intro-slides pybop-intro-slides Public

    An Overleaf project containing a set of introductory slides on PyBOP. Free to re-use.

    TeX 1

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