PyBaMM Techno-Economic Analysis Library

A very interesting and nice thing during the development of batteries are back-of-the-envelope estimations. An example might be to estimate an areal loading of active material necessary to compete with another active material, which has different capacity and potential. The different loading would also influence the entire cell and process design such that a coupled cell-process-cost model could give much more accurate and holistic cost estimates than single rules of thumb can. The coupling of cell and process can be achieved by decomposing the process into decoupled process units, which are then connected with cell parameters, e.g. areal loadings. The flexible submodel structure of PyBaMM would enable the use of independent “plug and play” economics e.g. for modeling different processes and economies of scale, as well as the combination of other PyBaMM models to estimate key values for degradation and thermal performance. Making it possible e.g. to study the interplay between formation and degradation accompanied with costs and other key values such as energy densities.