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eess.SY2024
Learning Li-ion battery health and degradation modes from data with aging-aware circuit models
Zihao Zhou, Antti Aitio, David Howey
Non-invasive estimation of Li-ion battery state-of-health from operational data is valuable for battery applications, but remains challenging. Pure model-based methods may suffer f…
eess.SY2023
Learning battery model parameter dynamics from data with recursive Gaussian process regression
Antti Aitio, Dominik Jöst, Dirk Uwe Sauer +1
Estimating state of health is a critical function of a battery management system but remains challenging due to the variability of operating conditions and usage requirements of re…