Machine learning-enabled battery diagnostics transform scarce and heterogeneous field battery data into reliable state indicators, enabling informed decision-making across reuse, recycling, and remanufacturing stages. By linking safety, economic value, and environmental performance, diagnostics function as critical information infrastructure for an efficient, scalable and sustainable battery circular economy.
DOI: 10.1016/j.checir.2026.100005
Publication Date: 2026-01-26