Development of a generalized state-of-health estimation framework for multi-chemistry lithium-ion batteries using incremental capacity analysis and ensemble learning
The object of this study is the State-of-Health of lithium-ion batteries with different battery chemistries under charging conditions. The problem addressed is the limited ability of existing methods to maintain prediction of accuracy across different electrochemical characteristics and partial-charging conditions, lim...