Due to the inability to directly measure the internal state of batteries, there are technical
challenges in battery state estimation, defect detection, and fault diagnosis. Ultrasonic …

Lithium-ion batteries exhibit a dynamic electrochemical system that experiences challenges
such as aging and degradation over time. The challenges vary under operational and …

Accurate estimation of the State of Health (SOH) for lithium-ion batteries is necessary for the
stable operation of the battery system. To accurately estimate the SOH for lithium-ion …

Capturing the lifespan trajectory of lithium-ion (Li-ion) batteries in the early stage is critical
for the operation and maintenance of battery energy storage systems (BESSs). Recently …

Early-stage detection of the battery internal short circuit (ISC) can effectively prevent
batteries from fire-related accidents. However, it is technically challenging because the …

This paper presents a comprehensive survey of machine learning, deep learning, and digital
twin technology methods for predicting and managing the battery state of health in electric …

With the rapid expansion of the electric vehicle market, the demand for lithium-ion batteries
(LIBs) is exploding. The state of health (SOH) of LIBs is receiving more widespread attention …

Early battery lifetime prediction is important for both safety reasons and battery development.
It predicts battery lifetime before it degrades significantly and has the advantage of being low …

Obtaining high-resolution battery historical data in the cloud is crucial for lithium-ion battery
state estimation and thermal runaway prediction. Due to limited signal transmission …

Electric vehicles (EVs) have created a revolution in sustainable transportation. The number
of EV users has increased significantly within a short period globally. EVs running largely on …