Automated Feature Extraction and Selection for Data-Driven Models of Rapid Battery Capacity Fade and End of Life (2022)
Attributed to:
Data-driven battery state of health diagnostics and prognostics
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/tii.2021.3106593
Publication URI: http://dx.doi.org/10.1109/tii.2021.3106593
Type: Journal Article/Review
Parent Publication: IEEE Transactions on Industrial Informatics
Issue: 5