Lithium-ion batteries have gained significant prominence in various industries due to their
high energy density compared to other battery technologies. This has led to their …

Highlights What are the main findings? Rapid acquisition technology of electrochemical
impedance spectroscopy. EIS was used to quickly and effectively estimate the SOH of LIBs …

Lithium-ion batteries are key drivers of the renewable energy revolution, bolstered by
progress in battery design, modelling, and management. Yet, achieving high-performance …

Highlights EIS was used to estimate the SOH of LIBs found to be fast and effective. It is more
convenient to use CNN to extract features of EIS data automatically. The improved ECM …

With the advent of sustainable and clean energy transitions, lithium-ion batteries have
become one of the most important energy storage sources for many applications. Battery …

Accurate capacity estimation is essential in the management of lithium-ion batteries, as it
guarantees the safety and dependability of battery-powered systems. However, direct …

The wide application of lithium-ion batteries makes their lifecycle prognosis a challenging
and hot topic in the battery management research field. Feature extraction is a key step for …

Predicting, monitoring, and optimizing the performance and health of a battery system
entails a variety of complex variables as well as unpredictability in given conditions. Data …

With the rapid growth of electric vehicle production, the market demand for lithium-ion
batteries also shows a high growth trend. The state of health (SOH) estimation of lithium-ion …

Accurate and reliable prediction of the battery capacity degradation is vital for predictive
health management. This paper proposes a novel framework to improve the accuracy and …