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This review article discusses the importance of open-source datasets for developing accurate battery aging models for lithium-ion batteries, which are critical for predicting their State-of-Health (SoH) and Remaining Useful Life (RUL). It highlights the challenges of acquiring high-quality aging data due to the costs and time involved in testing, and presents a comprehensive overview of over 25 datasets from various sources, detailing their biases and limitations. The article aims to assist researchers in s

Author

dayra

Language

EN