Battery Informatics
Pages 190–191 (2 pages)
Text on page 191
Implementation roadmap for the Battery Data Genome —a multiphase approach with technical and sustainability-focused councils
Battery AI/ML innovations of all types span all technology readiness levels (TRLs) and create positive impacts to stakeholders in both research and commercial communities
Research: Battery Informatics Source: Ward, Babinec, Dufek, Howey, et al.
The Battery Data Genome (BDG) faces two significant data challenges: (1) heterogeneity—establishing the data and metadata conventions that will make heterogeneous battery data useful and enable interoperability (2) scale—rapid, large-scale capture of data from many sources and contributors Volta Foundation
Extracted from the PDF; charts and images may read imperfectly.
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