Due to their superior properties, lithium-ion batteries (LIBs) have become the primary energy
storage medium for electric vehicles (EVs), driven by widespread adoption. Nevertheless, a …

Reliable capacity estimation is crucial for safe operation of lithium-ion batteries (LIBs). This
work combines the temporal convolutional network (TCN) and Gaussian process regression …

Abstract Model-based methods are prevalently used for estimating battery states, which
forms the foundation of battery management systems. However, the efficacy of these …

Accurate estimation of the state of health (SOH) of lithium-ion batteries holds significant
importance in guaranteeing the stable and secure functioning of electric vehicles. However …

Abstract The State of Health (SOH) of lithium-ion batteries significantly impacts the
performance, safety, and reliability of the battery, making it a crucial component of the battery …

State-of-Health (SOH) is critical to managing the lifespan of the battery energy storage
system. For the data-driven-based method, explicit features have many benefits, but they …

State estimation for lithium-ion battery cells has been the topic of many publications
concerning the different states of a battery cell. They often focus on a battery cell's state of …

State of health (SOH) is a crucial parameter in a battery management system (BMS). Using
multiple sources of data effectively improves the end-to-end SOH estimation performance …

The cycle life test provides crucial support for using and maintenance of lithium-ion batteries
(LIBs). The mainstream way to obtain the battery life is uninterrupted charge–discharge …

The current state-of-the-art approach for battery state-of-health (SOH) estimation typically
employs a centralized computing framework, wherein data from local battery management …