The increasing adoption of electric vehicles (EVs) has underscored the importance of lithium-
ion batteries (LIBs), which, however, pose inherent safety risks. These issues can escalate …

Creating precise and data-driven battery aging models has emerged as a prominent focus
within the research community [[1],[2],[3],[4],[5],[6],[7],[8],[9],[10],[11]]. The accuracy of …

With the rapid development of lithium-ion batteries in recent years, predicting their remaining
useful life based on the early stages of cycling has become increasingly important. Accurate …

Experiments are essential to understand the behaviour and performance of energy storage
systems. In this field, a considerable amount of experimental data is generated and data …

High quality open-source battery data is in short supply and high demand. Researchers from
academia and industry rely on experimental data for parameterisation and validation of …

Diagnosing lithium‐ion battery degradation is a crucial part of managing energy storage
systems. Recent research has explored ultrasonic testing for non‐invasive health …

Today's growing demand for lithium-ion batteries across various industrial sectors has
introduced a new concern: battery aging. This issue necessitates the development of tools …

An essential component of a working electrode is the conductive additive: whether it is used
in very low amounts or constitutes the conductive matrix, its electrochemical response is not …

Lithium-Ion Batteries (LIBs) usually present several degradation processes, which include
their complex Solid-Electrolyte Interphase (SEI) formation process, which can result in …

This dataset encompasses a comprehensive investigation of combined calendar and cycle
aging in commercially available lithium-ion battery cells (Samsung INR21700-50E). A total …