Lithium-ion batteries are the ideal energy storage device for numerous portable and energy
storage applications. Efficient fault diagnosis methods become urgent to address safety …

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

Accurately monitoring battery states over battery life plays a central role in building
intelligent battery management systems. This study proposes a flexible method using only …

Battery energy storage systems (BESS) play a pivotal role in energy management, and the
precise estimation of battery capacity is crucial for optimizing their performance and …

Lithium-ion batteries are fuelling the advancing renewable-energy based world. At the core
of transformational developments in battery design, modelling and management is data. In …

Accurate degradation monitoring over battery life is indispensable for the safe and durable
operation of battery-powered applications. In this work, we extend conventional capacity …

It is often difficult for a machine learning model trained based on a small size of
charge/discharge cycling data to produce satisfactory accuracy in the capacity estimation of …

The state-of-health (SOH) estimation is a challenging task for lithium-ion battery, which
contribute significantly to maximize the performance of battery-powered systems and guide …

Accurate estimation of the state of charge (SOC) and state of health (SOH) is a fundamental
requirement for the management system of a lithium-ion battery, but also important to the …

An accurate aging forecasting and state of health estimation is essential for a safe and
economically valuable usage of lithium-ion batteries. However, the non-linear aging of …