Lithium-ion batteries are a promising solution for energy storage in various applications,
such as electric vehicles and building facilities. However, they are immensely sensitive to …

Precise prediction of lithium‐ion cell level aging under various operating conditions is an
imperative but challenging part of ensuring the quality performance of emerging applications …

Battery management systems based on electrochemical models could achieve more
accurate state estimations and efficient battery controls with access to cell unmeasurable …

The lithium-ion battery (LIB) is considered an ideal next-generation energy storage device
owing to its high safety, high energy density, and low cost. Calendar loss of LIBs is the most …

Accurately simulating and characterizing the thermal behavior of lithium batteries is vital for
thermal design and management. Currently, the widely used simulation method for studying …

Electrochemical lithium-ion battery models have drawn considerable research attention as
alternative experimental approaches to elucidate the internal mechanisms and physical …

The reaction mechanism of lithium-ion batteries is directly affect system safety and
performance. Understanding the actual battery status through model simulation has become …

The charging performance of lithium-ion batteries is significantly affected by the polarization
effect, which leads to increased resistance and prolonged charging time. This paper …

Accurate modeling and simulation of lithium-ion batteries are beneficial to predict the battery
performance. However, the acquisition and verification of parameters are still the main …

This paper presents a sequential model based on Physic Based Models (PBM) and Artificial
Intelligence Models (AI) focused on the estimation of the State of Charge (SoC). The PBM …