At the core of transformational developments in battery design, modelling and management is data. In this work, the datasets associated with lithium batteries in the public domain are summarised. We review the data by mode of experimental testing, giving particular attention to test variables and data provided.
The battery-data-toolkit, battdat, creates consistently-formatted collections of battery data. The library has three main purposes: Storing battery data in standardized formats. battdat stores data in HDF5 or Parquet files which include extensive metadata. Interfacing battery data with the PyData ecosystem.
The battery research group at the University of Wisconsin-Madison offers a battery testing dataset covering four typical driving cycles: US06, HWFET, UDDS and LA92. The dataset, published on the Mendeley data website [101, URL] (under 'CC BY 4.0'), contains data from a single 2.9 Ah NCA Panasonic 18650PF cell.
However, publicly available datasets are distributed sporadically as battery testing is costly and lengthy. In this work, a review of the existing battery datasets in the public domain is provided with a category-type break-down covering the testing regimes, cell specifications and provided data.
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