Battery states are very important for the safe and reliable use of new energy vehicles. The
estimation of power battery states has become a research hotspot in the development of …

The present study proposes a novel method for predicting the discharge capabilities of
lithium‐ion (Li‐ion) batteries using a digital twin model in practice. By combining cutting …

Ensuring the reliable and safe operation of Electric Vehicles (EVs) necessitates precise
monitoring of the State of Health (SOH) of their lithium-ion batteries. However, accurately …

Lithium-ion batteries (LIBs) have been widely used for electric vehicles owing to their high
energy density, light weight, and no memory effect. However, their health management …

Accurately estimating the state of health (SOH) of lithium-ion batteries plays a significant role
in the safe operation of electric vehicles. Deep learning (DL)-based approaches for …

Over the last 20 years, lithium-ion batteries have become widely used in many fields due to
their advantages such as ease of use and low cost. However, there are concerns about the …

In the world of modern energy, Lithium-Ion batteries reign supreme, offering rechargeability,
sustainability, and long-term energy storage. However, their lifespan is not infinite, calling for …

As the global shift towards a carbon-neutral future accelerates, the adoption of renewable
energy sources and electric vehicle technologies is on the rise. Central to these …

Lithium-ion batteries' state of health (SOH) is a prominent issue for consumers. However, the
complex work condition renders conventional SOH estimation methods ineffective in …

In recent years, the rapid evolution of transportation electrification has been propelled by the
widespread adoption of lithium-ion batteries (LIBs) as the primary energy storage solution …