This page contains a summary of the main features we are working towards and might provide ideas for funding applications.
The fact that an item is listed in this roadmap does not mean that it will necessarily happen. On the other hand, an item not being listed in the roadmap for a year does not indicate it cannot be included in future iterations. Note that the ideas here correspond to big features. Smaller features are tracked in the issue tracker. For more details on the current technical roadmap, see the 2024 roadmap discussion and 2025 roadmap discussion.
We strive to keep PyBaMM up with the state-of-the-art in battery models, which advances in two directions:
We are also working to rationalise the submodel interface and options, making it easier to define models and understand what is being solved. See pybamm-team/PyBaMM#5103 for details.
We are continuously aiming to improve PyBaMM’s solver capabilities, with a particular focus on sensitivity calculations to enable efficient parameter inference with tools such as PyBOP. See pybamm-team/PyBaMM#5101 for details.
We are expanding PyBaMM’s spatial methods to support 2D and 3D simulations, enabling more detailed multi-physics models. See pybamm-team/PyBaMM#5102 for details.
PyBaMM can generate CasADi code, which underpins many of its solver integrations. Ongoing efforts include integrating with Diffsol and exporting PyBaMM models to Rust.
Performance is monitored via airspeed velocity (benchmarks available at pybamm.org/benchmarks).
If you have any suggestions for this roadmap, please feel free to open a discussion.