Multiple health indicators assisting data-driven prediction of the
Lithium-ion batteries (LIBs) have profoundly transformed the human lifestyle through their use in consumer electronics, grid-scale energy storage, and power batteries. Accurately predicting the state of health (SOH) of LIBs by battery management system plays a key role in ensuring the reliability of the device and avoiding safety accidents as far as