Despite continuous advancements, modeling and predicting nonlinear, multiscale, and
multiphysics battery systems, which feature inherently inhomogeneous cascades of scales …

Battery technology plays a crucial role across various sectors, powering devices from
smartphones to electric vehicles and supporting grid-scale energy storage. To ensure their …

To advance the field of lithium-ion battery (LIB) research, this paper unveils an accurate
modelling of LIB that primarily relies on the equivalent circuit model, backed by the Osprey …

Degradation prediction is crucial for ensuring safe and reliable operation of batteries.
However, relying solely on capacity to characterize aging cannot comprehensively represent …

Accurately monitoring the state of health (SOH) of lithium-ion batteries (LIBs) is crucial for
battery management systems (BMS), yet there lack of the possibility to fully use the random …

Lithium-ion batteries are the preferred green energy storage method and are equipped with
intelligent battery management systems (BMSs) that efficiently manage the batteries. This …

The widespread adoption of electric vehicles (EVs) underscores the urgent need for
innovative approaches to estimate their lithium-ion batteries' state of health (SOH), which is …

Accurate battery capacity estimation is crucial for optimizing lifespan and monitoring health
conditions. Deep learning has made notable strides in addressing long-standing issues in …

Accurately estimating the state of health (SOH) of lithium batteries is a critical and
challenging task in battery management systems. Data-driven models are widely used for …

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 …