It is often difficult for a machine learning model trained based on a small size of
charge/discharge cycling data to produce satisfactory accuracy in the capacity estimation of …

Accurate estimation of lithium-ion battery capacity is crucial for ensuring its safety and
reliability. While data-driven modelling is a common approach for capacity estimation …

Online battery capacity estimation is a critical task for battery management system to
maintain the battery performance and cycling life in electric vehicles and grid energy storage …

Capacity estimation plays a vital role in ensuring the health and safety management of
lithium-ion battery-based electric-drive systems. This research focuses on developing a …

The past two decades have seen an increasing usage of lithium-ion (Li-ion) rechargeable
batteries in diverse applications including consumer electronics, power backup, and grid …

Accurate capacity estimation is crucial for the reliable and safe operation of lithium-ion
batteries. In particular, exploiting the relaxation voltage curve features could enable battery …

Data‐driven modeling using measurable battery signals tends to provide robust battery
capacity estimation without delving deep into electrochemical phenomenon inside the …

State-of-charge (SOC) plays a fundamental role in guiding battery management strategies.
Recently, a variety of deep learning methods have been successfully applied in SOC …

Capacity estimation is an essential task for battery manage systems to ensure the safety and
reliability of lithium-ion batteries. Considering the uncertainty of charging and discharging …

Real-time capacity estimation of lithium-ion batteries is crucial but challenging in battery
management systems (BMSs). Due to the complexity of battery degradation mechanism …